Liquidware Labs Inc.Copyright (c) 2024 Liquidware Labs, Inc.Eclipse BIRT Designer Version 4.4.2.v201410272105 Build <4.4.2.v20150217-1805>Executive Summaryhub_versionstringtruelwlReportNamestringtruelwlCategoryNamestringtruelwlDefaultFiltersstringtruelwlDiscardIfEmptybooleantruelwlDoAlertbooleantruelwlAlertMessagestringtruelwlOutputFormatstringtruelwlDefaultSchedulestringtrueReportVersionstringtruelwlDiscardIfEmptyNamestring6.70Executive SummaryManagement ReportstruefalsePDFResourceStringTableCommonFunctionCalls.jsinlwl-styles.defaultThemeauto layoutlwl-masterpage.rptlibrarylwl-masterpagelwl-styles.rptlibrarylwl-styleslwl-defaultparams.rptlibrarylwl-defaultparamsstaticintegertruevar dait = new Date();
var gmtOffset = -dait.getTimezoneOffset() * 60 * 1000;
gmtOffset;simpletext-boxUnformattedstatictruestringtrueUS/Easternsimpletext-boxUnformattedPlease enter a short timezone strings for display purposesstaticstringtrueETsimpletext-boxUnformattedtruestaticdecimaltruevar dait = new Date();
var gmtOffset = dait.getTimezoneOffset() * 60 * 1000;
dait.setTime(dait.getTime() + gmtOffset);
dait.valueOf();simpletext-boxUnformattedStart date and timestaticdateTimetruevar dait = new Date();
dait.setDate(dait.getDate() - 4);
var hour = dait.getTimezoneOffset() / 60;
hour = (12 + hour) % 12;
dait.setHours(hour);
dait.setMinutes(0);
dait.setSeconds(0);
dait.setMilliseconds(0);
dait;simpletext-boxUnformattedEnd date and timestaticdateTimetruevar dait = new Date();
dait.setDate(dait.getDate() - 0);
var hour = dait.getTimezoneOffset() / 60;
hour = (12 + hour) % 12 - 1;
dait.setHours(hour);
dait.setMinutes(59);
dait.setSeconds(59);
dait.setMilliseconds(999);
dait;simpletext-boxUnformattedComparison start timestaticdateTimetruevar dait = new Date();
dait.setDate(dait.getDate() - 8);
var hour = dait.getTimezoneOffset() / 60;
hour = (12 + hour) % 12;
dait.setHours(hour);
dait.setMinutes(0);
dait.setSeconds(0);
dait.setMilliseconds(0);
dait;simpletext-boxUnformattedComparison end timestaticdateTimetruevar dait = new Date();
dait.setDate(dait.getDate() - 4);
var hour = dait.getTimezoneOffset() / 60;
hour = (12 + hour) % 12 - 1;
dait.setHours(hour);
dait.setMinutes(59);
dait.setSeconds(59);
dait.setMilliseconds(999);
dait;simpletext-boxUnformattedcontentBidiFormatStrILYNNmetadataBidiFormatStrILYNNdisabledMetadataBidiFormatStrdisabledContentBidiFormatStrorg.postgresql.Driverjdbc:postgresql://enter.hubdb.ipordns:5432/portalreportscmVwb3J0cw==alert_messagedimensionalert_messagealert_messagemachine_countmeasuremachine_countmachine_countpurge_threshold_disk_used_percentmeasurepurge_threshold_disk_used_percentpurge_threshold_disk_used_percentdisk_used_percentmeasuredisk_used_percentdisk_used_percentpurge_threshold_daysmeasurepurge_threshold_dayspurge_threshold_daysdetail_data_retention_daysmeasuredetail_data_retention_daysdetail_data_retention_daysreport_purge_threshold_daysmeasurereport_purge_threshold_daysreport_purge_threshold_daysrollup_daily_retention_daysmeasurerollup_daily_retention_daysrollup_daily_retention_daysdays_of_datameasuredays_of_datadays_of_datadata_used_per_day_gbmeasuredata_used_per_day_gbdata_used_per_day_gbdata_used_per_machine_per_day_gbmeasuredata_used_per_machine_per_day_gbdata_used_per_machine_per_day_gbdays_left_before_purgemeasuredays_left_before_purgedays_left_before_purgedatabase_disk_allocated_size_gbmeasuredatabase_disk_allocated_size_gbdatabase_disk_allocated_size_gbdatabase_disk_used_size_gbmeasuredatabase_disk_used_size_gbdatabase_disk_used_size_gbdatabase_disk_avail_size_gbmeasuredatabase_disk_avail_size_gbdatabase_disk_avail_size_gbdisk_size_required_gbmeasuredisk_size_required_gbdisk_size_required_gbparam_1TimeZoneStringstring121truefalse1alert_messagestring2machine_countdecimal3purge_threshold_disk_used_percentinteger4disk_used_percentdecimal5purge_threshold_daysinteger6detail_data_retention_daysinteger7report_purge_threshold_daysinteger8rollup_daily_retention_daysinteger9days_of_datadecimal10data_used_per_day_gbdecimal11data_used_per_machine_per_day_gbdecimal12days_left_before_purgedecimal13database_disk_allocated_size_gbdecimal14database_disk_used_size_gbdecimal15database_disk_avail_size_gbdecimal16disk_size_required_gbdecimalPortal1alert_messagealert_messagestring122machine_countmachine_countdecimal-53purge_threshold_disk_used_percentpurge_threshold_disk_used_percentinteger54disk_used_percentdisk_used_percentdecimal25purge_threshold_dayspurge_threshold_daysinteger46detail_data_retention_daysdetail_data_retention_daysinteger47report_purge_threshold_daysreport_purge_threshold_daysinteger48rollup_daily_retention_daysrollup_daily_retention_daysinteger49days_of_datadays_of_datadecimal-510data_used_per_day_gbdata_used_per_day_gbdecimal211data_used_per_machine_per_day_gbdata_used_per_machine_per_day_gbdecimal212days_left_before_purgedays_left_before_purgedecimal213database_disk_allocated_size_gbdatabase_disk_allocated_size_gbdecimal214database_disk_used_size_gbdatabase_disk_used_size_gbdecimal215database_disk_avail_size_gbdatabase_disk_avail_size_gbdecimal216disk_size_required_gbdisk_size_required_gbdecimal2 0) then dbd.used/dbd.size else 0 end)*100)::numeric, 2) as disk_used_percent,
round(dbd.use::numeric, 2) as disk_used_percent,
coalesce(go.auditdatadaypurgethreshold, 0) as purge_threshold_days,
coalesce(go.auditdatadaypurgethreshold, 0) as detail_data_retention_days,
coalesce(go.reportpurgedaythreshold, 0) as report_purge_threshold_days,
cast(go.options->'rollupDailyRetentionPeriodDays' as int) as rollup_daily_retention_days,
sumrpt.days_of_data,
round(((case when (sumrpt.days_of_data is not null and sumrpt.days_of_data > 0) then dbd.used/sumrpt.days_of_data else 0 end)/1073741824)::numeric, 3) as data_used_per_day_gb,
round(((case when (machine_count is not null and machine_count > 0) then ((case when (sumrpt.days_of_data is not null and sumrpt.days_of_data > 0) then dbd.used/sumrpt.days_of_data else 0 end)/1073741824)/machine_count else 0 end)::numeric)::numeric, 3) as data_used_per_machine_per_day_gb,
round(((case when (dbd.used is not null and sumrpt.days_of_data is not null and dbd.used > 0 and sumrpt.days_of_data > 0) then (((dbd.size*go.auditdatapurgethreshold)/100)-(dbd.used))/(dbd.used/sumrpt.days_of_data) else 0 end))::numeric, 3) as days_left_before_purge,
round((dbd.size/1073741824)::numeric, 3) as database_disk_allocated_size_gb,
round((dbd.used/1073741824)::numeric, 3) as database_disk_used_size_gb,
round((dbd.avail/1073741824)::numeric, 3) as database_disk_avail_size_gb,
round(((((case when (sumrpt.days_of_data is not null and sumrpt.days_of_data > 0) then dbd.used/sumrpt.days_of_data else 0 end)/1073741824)::numeric * go.auditdatadaypurgethreshold * 100.0)/go.auditdatapurgethreshold::float)::numeric, 0) as disk_size_required_gb
from
tnt_config.globaloptions go
join disk_free() dbd on (1=1)
join summary_reports sumrpt on (1=1)
where
-- dbd.mountpoint = '/var/lib/pgsql'
dbd.mountpoint ilike '%/pgsql'
-- and (go.auditdatadaypurgethreshold is not null or go.auditdatadaypurgethreshold > 0)
)
select
case
when (sumrpt.days_left_before_purge + sumrpt.days_of_data < sumrpt.purge_threshold_days) then 'Alert! Database will purge prior to Data Retention threshold.'
when (sumrpt.disk_size_required_gb > sumrpt.database_disk_allocated_size_gb) then 'Alert! Database will purge due to inadequate space for Data Retention threshold.'
else null
end as alert_message,
sumrpt.*
from
data_purge_calc sumrpt
-- where
-- (sumrpt.days_left_before_purge + sumrpt.days_of_data < sumrpt.purge_threshold_days) or
-- (sumrpt.disk_size_required_gb > sumrpt.database_disk_allocated_size_gb)
;]]>2.0In11200Unknownpurge_threshold_disk_used_percent1550Nullablepurge_threshold_disk_used_percentpurge_threshold_disk_used_percent6disk_used_percent2200Unknowndisk_used_percentdisk_used_percent131089purge_threshold_days3550Nullablepurge_threshold_dayspurge_threshold_days6days_of_data481717Unknowndays_of_datadays_of_data25data_used_per_day_gb5200Unknowndata_used_per_day_gbdata_used_per_day_gb131089disk_size_required_gb6200Unknowndisk_size_required_gbdisk_size_required_gb131089database_disk_allocated_size_gb7200Unknowndatabase_disk_allocated_size_gbdatabase_disk_allocated_size_gb131089database_disk_used_size_gb8200Unknowndatabase_disk_used_size_gbdatabase_disk_used_size_gb131089database_disk_avail_size_gb9200Unknowndatabase_disk_avail_size_gbdatabase_disk_avail_size_gb131089]]>nulls lowesttotal_cid_detail_size_kbmeasuretotal_cid_detail_size_kbtotal_cid_detail_size_kbtotal_cid_detail_day_countmeasuretotal_cid_detail_day_counttotal_cid_detail_day_countavg_cid_detail_machines_per_daymeasureavg_cid_detail_machines_per_dayavg_cid_detail_machines_per_daytotal_cid_detail_callback_countmeasuretotal_cid_detail_callback_counttotal_cid_detail_callback_countavg_cid_detail_size_per_day_kbmeasureavg_cid_detail_size_per_day_kbavg_cid_detail_size_per_day_kbavg_cid_detail_size_per_callback_kbmeasureavg_cid_detail_size_per_callback_kbavg_cid_detail_size_per_callback_kbtotal_detail_size_kbmeasuretotal_detail_size_kbtotal_detail_size_kbavg_detail_size_per_day_kbmeasureavg_detail_size_per_day_kbavg_detail_size_per_day_kbtotal_network_size_kbmeasuretotal_network_size_kbtotal_network_size_kbavg_network_day_countmeasureavg_network_day_countavg_network_day_counttotal_network_collector_countmeasuretotal_network_collector_counttotal_network_collector_countavg_network_cpsmeasureavg_network_cpsavg_network_cpsavg_network_size_per_day_kbmeasureavg_network_size_per_day_kbavg_network_size_per_day_kbavg_network_size_per_connection_kbmeasureavg_network_size_per_connection_kbavg_network_size_per_connection_kb1total_cid_detail_size_kbdecimal2total_cid_detail_day_countdecimal3avg_cid_detail_machines_per_daydecimal4total_cid_detail_callback_countdecimal5avg_cid_detail_size_per_day_kbdecimal6avg_cid_detail_size_per_callback_kbdecimal7total_detail_size_kbdecimal8avg_detail_size_per_day_kbdecimal9total_network_size_kbdecimal10avg_network_day_countdecimal11total_network_collector_countdecimal12avg_network_cpsdecimal13avg_network_size_per_day_kbdecimal14avg_network_size_per_connection_kbdecimalPortal1total_cid_detail_size_kbtotal_cid_detail_size_kbdecimal22total_cid_detail_day_counttotal_cid_detail_day_countdecimal-53avg_cid_detail_machines_per_dayavg_cid_detail_machines_per_daydecimal24total_cid_detail_callback_counttotal_cid_detail_callback_countdecimal25avg_cid_detail_size_per_day_kbavg_cid_detail_size_per_day_kbdecimal26avg_cid_detail_size_per_callback_kbavg_cid_detail_size_per_callback_kbdecimal27total_detail_size_kbtotal_detail_size_kbdecimal28avg_detail_size_per_day_kbavg_detail_size_per_day_kbdecimal29total_network_size_kbtotal_network_size_kbdecimal210avg_network_day_countavg_network_day_countdecimal211total_network_collector_counttotal_network_collector_countdecimal-512avg_network_cpsavg_network_cpsdecimal213avg_network_size_per_day_kbavg_network_size_per_day_kbdecimal214avg_network_size_per_connection_kbavg_network_size_per_connection_kbdecimal2 'i'
and nspname !~ '^pg_toast'
and relname ilike 'summaryreport%'
) as cdd
) cid_detail_data on (true)
left outer join (
select
sum(total_size_kb) as total_detail_size_kb
from (
select
nspname || '.' || relname as relation,
pg_total_relation_size(c.oid)/1024.0 as total_size_kb
from
pg_class c
left join pg_namespace n on (n.oid = c.relnamespace)
where
nspname = 'tnt_audit'
and c.relkind <> 'i'
and nspname !~ '^pg_toast'
) as cdd
) detail_data on (true)
) sumrpt
-- Calculate the network size data
left outer join (
select
count(distinct ca.stationid) as total_network_collector_count,
avg(day_count) avg_network_day_count,
avg(cps) as avg_network_cps,
max(network_collector_data.total_network_size_kb) as total_network_size_kb
from
(
select
ca.stationid,
count(distinct date(day_hour_minute)) as day_count,
avg(network_connection_count)/60.0 as cps
from (
select
date_trunc('minute', packet_time) as day_hour_minute,
ca.stationid,
count(*) as network_connection_count
from
tnt_audit.connectattempt ca
join tnt_config.policynode pn on (pn.id = ca.stationid and pn.type = 3 and pn.delete_time is null)
group by
date_trunc('minute', packet_time),
stationid
) ca
group by
ca.stationid
) ca
left outer join (
select
sum(total_size_kb) as total_network_size_kb
from (
select
nspname || '.' || relname as relation,
pg_total_relation_size(c.oid)/1024.0 as total_size_kb
from
pg_class c
left join pg_namespace n on (n.oid = c.relnamespace)
where
nspname = 'tnt_audit'
and c.relkind <> 'i'
and nspname !~ '^pg_toast'
and relname ilike 'connect%'
) as ncd
) network_collector_data on (true)
) ca on (true)
;]]>2.0total_cid_detail_size_kb1200Unknowntotal_cid_detail_size_kbtotal_cid_detail_size_kb131089total_cid_detail_callback_count2-5190Unknowntotal_cid_detail_callback_counttotal_cid_detail_callback_count20avg_cid_detail_per_callback_size_kb3200Unknownavg_cid_detail_per_callback_size_kbavg_cid_detail_per_callback_size_kb131089total_cid_rollup_size_kb4200Unknowntotal_cid_rollup_size_kbtotal_cid_rollup_size_kb131089avg_cid_rollup_size_per_day_kb5200Unknownavg_cid_rollup_size_per_day_kbavg_cid_rollup_size_per_day_kb131089total_number_of_days6-5190Unknowntotal_number_of_daystotal_number_of_days20avg_machines_per_day7200Unknownavg_machines_per_dayavg_machines_per_day131089avg_machine_rollup_per_day_size_kb8200Unknownavg_machine_rollup_per_day_size_kbavg_machine_rollup_per_day_size_kb131089avg_rollup_per_machine_size_kb9200Unknownavg_rollup_per_machine_size_kbavg_rollup_per_machine_size_kb131089total_network_size_kb10200Unknowntotal_network_size_kbtotal_network_size_kb131089avg_cps11200Unknownavg_cpsavg_cps131089avg_day_count12200Unknownavg_day_countavg_day_count131089avg_network_size_per_second_kb13200Unknownavg_network_size_per_second_kbavg_network_size_per_second_kb131089]]>showDatabaseRollupsrow["row_count"] == 0 ? false:true;booleanrow_countmeasurerow_countrow_count1row_countdecimal2showDatabaseRollupsbooleanPortal1row_countrow_countdecimal-52.0count1-5190Unknowncountcount20]]>nulls lowesttotal_cid_rollup_size_kbmeasuretotal_cid_rollup_size_kbtotal_cid_rollup_size_kbtotal_new_cid_rollup_size_kbmeasuretotal_new_cid_rollup_size_kbtotal_new_cid_rollup_size_kbtotal_cid_rollup_size_gbmeasuretotal_cid_rollup_size_gbtotal_cid_rollup_size_gbtotal_new_cid_rollup_size_gbmeasuretotal_new_cid_rollup_size_gbtotal_new_cid_rollup_size_gbtotal_cid_rollup_day_countmeasuretotal_cid_rollup_day_counttotal_cid_rollup_day_countavg_cid_rollup_size_per_day_kbmeasureavg_cid_rollup_size_per_day_kbavg_cid_rollup_size_per_day_kbavg_new_cid_rollup_size_per_day_kbmeasureavg_new_cid_rollup_size_per_day_kbavg_new_cid_rollup_size_per_day_kb1total_cid_rollup_size_kbdecimal2total_new_cid_rollup_size_kbdecimal3total_cid_rollup_size_gbdecimal4total_new_cid_rollup_size_gbdecimal5total_cid_rollup_day_countdecimal6avg_cid_rollup_size_per_day_kbdecimal7avg_new_cid_rollup_size_per_day_kbdecimalPortal1total_cid_rollup_size_kbtotal_cid_rollup_size_kbdecimal22total_new_cid_rollup_size_kbtotal_new_cid_rollup_size_kbdecimal23total_cid_rollup_size_gbtotal_cid_rollup_size_gbdecimal24total_new_cid_rollup_size_gbtotal_new_cid_rollup_size_gbdecimal25total_cid_rollup_day_counttotal_cid_rollup_day_countdecimal-56avg_cid_rollup_size_per_day_kbavg_cid_rollup_size_per_day_kbdecimal27avg_new_cid_rollup_size_per_day_kbavg_new_cid_rollup_size_per_day_kbdecimal2 0 then relation else null end) as total_cid_rollup_day_count,
sum(cid_rollup_data.total_size_kb) as total_cid_rollup_size_kb,
sum(case when position('sr_process_stats' in relation) = 0 then cid_rollup_data.total_size_kb else 0 end) as total_new_cid_rollup_size_kb
from (
select
nspname || '.' || relname as relation,
pg_total_relation_size(c.oid)/1024.0 as total_size_kb
from
pg_class c
left join pg_namespace n on (n.oid = c.relnamespace)
where
nspname = 'lwl_rollup'
and c.relkind <> 'i'
and nspname !~ '^pg_toast'
and relname ilike '%_da_%'
) cid_rollup_data
) srda
;]]>2.0total_cid_detail_size_kb1200Unknowntotal_cid_detail_size_kbtotal_cid_detail_size_kb131089total_cid_detail_callback_count2-5190Unknowntotal_cid_detail_callback_counttotal_cid_detail_callback_count20avg_cid_detail_per_callback_size_kb3200Unknownavg_cid_detail_per_callback_size_kbavg_cid_detail_per_callback_size_kb131089total_cid_rollup_size_kb4200Unknowntotal_cid_rollup_size_kbtotal_cid_rollup_size_kb131089avg_cid_rollup_size_per_day_kb5200Unknownavg_cid_rollup_size_per_day_kbavg_cid_rollup_size_per_day_kb131089total_number_of_days6-5190Unknowntotal_number_of_daystotal_number_of_days20avg_machines_per_day7200Unknownavg_machines_per_dayavg_machines_per_day131089avg_machine_rollup_per_day_size_kb8200Unknownavg_machine_rollup_per_day_size_kbavg_machine_rollup_per_day_size_kb131089avg_rollup_per_machine_size_kb9200Unknownavg_rollup_per_machine_size_kbavg_rollup_per_machine_size_kb131089total_network_size_kb10200Unknowntotal_network_size_kbtotal_network_size_kb131089avg_cps11200Unknownavg_cpsavg_cps131089avg_day_count12200Unknownavg_day_countavg_day_count131089avg_network_size_per_second_kb13200Unknownavg_network_size_per_second_kbavg_network_size_per_second_kb131089]]>alert_messagedimensionalert_messagealert_messagemachine_countmeasuremachine_countmachine_countpurge_threshold_disk_used_percentmeasurepurge_threshold_disk_used_percentpurge_threshold_disk_used_percentdisk_used_percentmeasuredisk_used_percentdisk_used_percentpurge_threshold_daysmeasurepurge_threshold_dayspurge_threshold_daysrollup_daily_retention_daysmeasurerollup_daily_retention_daysrollup_daily_retention_daysdays_of_datameasuredays_of_datadays_of_datadata_used_per_day_gbmeasuredata_used_per_day_gbdata_used_per_day_gbdata_used_per_machine_per_day_gbmeasuredata_used_per_machine_per_day_gbdata_used_per_machine_per_day_gbdays_left_before_purgemeasuredays_left_before_purgedays_left_before_purgedatabase_disk_allocated_size_gbmeasuredatabase_disk_allocated_size_gbdatabase_disk_allocated_size_gbdatabase_disk_used_size_gbmeasuredatabase_disk_used_size_gbdatabase_disk_used_size_gbdatabase_disk_avail_size_gbmeasuredatabase_disk_avail_size_gbdatabase_disk_avail_size_gbdisk_size_required_gbmeasuredisk_size_required_gbdisk_size_required_gbparam_1TimeZoneStringstring121truefalse1alert_messagestring2machine_countdecimal3purge_threshold_disk_used_percentinteger4disk_used_percentdecimal5purge_threshold_daysinteger6rollup_daily_retention_daysinteger7days_of_datadecimal8data_used_per_day_gbdecimal9data_used_per_machine_per_day_gbdecimal10days_left_before_purgedecimal11database_disk_allocated_size_gbdecimal12database_disk_used_size_gbdecimal13database_disk_avail_size_gbdecimal14disk_size_required_gbdecimalPortal1alert_messagealert_messagestring122machine_countmachine_countdecimal-53purge_threshold_disk_used_percentpurge_threshold_disk_used_percentinteger54disk_used_percentdisk_used_percentdecimal25purge_threshold_dayspurge_threshold_daysinteger56rollup_daily_retention_daysrollup_daily_retention_daysinteger47days_of_datadays_of_datadecimal-58data_used_per_day_gbdata_used_per_day_gbdecimal29data_used_per_machine_per_day_gbdata_used_per_machine_per_day_gbdecimal210days_left_before_purgedays_left_before_purgedecimal211database_disk_allocated_size_gbdatabase_disk_allocated_size_gbdecimal212database_disk_used_size_gbdatabase_disk_used_size_gbdecimal213database_disk_avail_size_gbdatabase_disk_avail_size_gbdecimal214disk_size_required_gbdisk_size_required_gbdecimal2 sumrpt.database_disk_allocated_size_gb) then 'Alert! Database will purge due to inadequate space for Data Retention threshold.'
else null
end as alert_message,
sumrpt.*
from (
select
sumrpt.machine_count as machine_count,
go.auditdatapurgethreshold as purge_threshold_disk_used_percent,
round(((case when (dbd.size is not null and dbd.size > 0) then dbd.used/dbd.size else 0 end)*100)::numeric, 2) as disk_used_percent,
go.auditdatadaypurgethreshold as purge_threshold_days,
cast(go.options->'rollupDailyRetentionDays' as int) as rollup_daily_retention_days,
sumrpt.days_of_data,
round(((case when (sumrpt.days_of_data is not null and sumrpt.days_of_data > 0) then dbd.used/sumrpt.days_of_data else 0 end)/1073741824)::numeric, 3) as data_used_per_day_gb,
round(((case when (machine_count is not null and machine_count > 0) then ((case when (sumrpt.days_of_data is not null and sumrpt.days_of_data > 0) then dbd.used/sumrpt.days_of_data else 0 end)/1073741824)/machine_count else 0 end)::numeric)::numeric, 3) as data_used_per_machine_per_day_gb,
round(((case when (dbd.used is not null and sumrpt.days_of_data is not null and dbd.used > 0 and sumrpt.days_of_data > 0) then (((dbd.size*go.auditdatapurgethreshold)/100)-(dbd.used))/(dbd.used/sumrpt.days_of_data) else 0 end))::numeric, 0) as days_left_before_purge,
round((dbd.size/1073741824)::numeric, 3) as database_disk_allocated_size_gb,
round((dbd.used/1073741824)::numeric, 3) as database_disk_used_size_gb,
round((dbd.avail/1073741824)::numeric, 3) as database_disk_avail_size_gb,
round(greatest(((((case when (sumrpt.days_of_data is not null and sumrpt.days_of_data > 0) then dbd.used/sumrpt.days_of_data else 0 end)/1073741824)::numeric * go.auditdatadaypurgethreshold * 100.0)/go.auditdatapurgethreshold::float), dbd.size/1073741824)::numeric, 3) as disk_size_required_gb
from
tnt_config.globaloptions go
join disk_free() dbd on (true)
join (
select
min(end_date) as start_date,
max(end_date) as end_date,
count(distinct date_trunc('day', end_date::timestamptz at time zone ?)) as days_of_data,
count(distinct node_id) as machine_count
from
tnt_audit.summaryreports sumrpt
) sumrpt on (true)
where
-- dbd.mountpoint = '/var/lib/pgsql'
dbd.mountpoint ilike '%/pgsql'
and (go.auditdatadaypurgethreshold is not null or go.auditdatadaypurgethreshold > 0)
) sumrpt
where
(sumrpt.days_left_before_purge + sumrpt.days_of_data < sumrpt.purge_threshold_days)
or
(sumrpt.disk_size_required_gb > sumrpt.database_disk_allocated_size_gb)
;]]>2.0In11200Unknownalert_message11221474836470Unknownalert_messagealert_message2147483647machine_count2-5190Unknownmachine_countmachine_count20purge_threshold_disk_used_percent3550Nullablepurge_threshold_disk_used_percentpurge_threshold_disk_used_percent6disk_used_percent4200Unknowndisk_used_percentdisk_used_percent131089purge_threshold_days5550Nullablepurge_threshold_dayspurge_threshold_days6rollup_daily_retention_days64100Unknownrollup_daily_retention_daysrollup_daily_retention_days11days_of_data7-5190Unknowndays_of_datadays_of_data20data_used_per_day_gb8200Unknowndata_used_per_day_gbdata_used_per_day_gb131089data_used_per_machine_per_day_gb9200Unknowndata_used_per_machine_per_day_gbdata_used_per_machine_per_day_gb131089days_left_before_purge10200Unknowndays_left_before_purgedays_left_before_purge131089database_disk_allocated_size_gb11200Unknowndatabase_disk_allocated_size_gbdatabase_disk_allocated_size_gb131089database_disk_used_size_gb12200Unknowndatabase_disk_used_size_gbdatabase_disk_used_size_gb131089database_disk_avail_size_gb13200Unknowndatabase_disk_avail_size_gbdatabase_disk_avail_size_gb131089disk_size_required_gb14200Unknowndisk_size_required_gbdisk_size_required_gb131089]]>avg_ux_rating_t1//convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t1"], 2));
convertVDIUXScoreToLabelString(dataSetRow["avg_ux_score_t1"]);stringavg_ux_rating_t2//convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t2"], 2));
convertVDIUXScoreToLabelString(dataSetRow["avg_ux_score_t2"]);stringuser_count_t1measureuser_count_t1user_count_t1user_count_t2measureuser_count_t2user_count_t2machine_count_t1measuremachine_count_t1machine_count_t1machine_count_t2measuremachine_count_t2machine_count_t2machine_labeldimensionmachine_labelmachine_labelmachine_registered_countmeasuremachine_registered_countmachine_registered_countmachine_license_countmeasuremachine_license_countmachine_license_countmachine_total_countmeasuremachine_total_countmachine_total_countuser_labeldimensionuser_labeluser_labeluser_registered_countmeasureuser_registered_countuser_registered_countuser_license_countmeasureuser_license_countuser_license_countuser_total_countmeasureuser_total_countuser_total_countworst_ux_score_t1measureworst_ux_score_t1worst_ux_score_t1worst_ux_score_t2measureworst_ux_score_t2worst_ux_score_t2avg_ux_score_t1measureavg_ux_score_t1avg_ux_score_t1avg_ux_score_t2measureavg_ux_score_t2avg_ux_score_t2best_ux_score_t1measurebest_ux_score_t1best_ux_score_t1best_ux_score_t2measurebest_ux_score_t2best_ux_score_t2machines_ux_good_count_t1measuremachines_ux_good_count_t1machines_ux_good_count_t1machines_ux_fair_count_t1measuremachines_ux_fair_count_t1machines_ux_fair_count_t1machines_ux_poor_count_t1measuremachines_ux_poor_count_t1machines_ux_poor_count_t1machines_ux_good_count_t2measuremachines_ux_good_count_t2machines_ux_good_count_t2machines_ux_fair_count_t2measuremachines_ux_fair_count_t2machines_ux_fair_count_t2machines_ux_poor_count_t2measuremachines_ux_poor_count_t2machines_ux_poor_count_t2avg_cpu_percent_t1measureavg_cpu_percent_t1avg_cpu_percent_t1avg_cpu_percent_t2measureavg_cpu_percent_t2avg_cpu_percent_t2avg_peak_cpu_percent_t1measureavg_peak_cpu_percent_t1avg_peak_cpu_percent_t1avg_peak_cpu_percent_t2measureavg_peak_cpu_percent_t2avg_peak_cpu_percent_t2avg_cpu_queue_t1measureavg_cpu_queue_t1avg_cpu_queue_t1avg_cpu_queue_t2measureavg_cpu_queue_t2avg_cpu_queue_t2peak_avg_cpu_queue_t1measurepeak_avg_cpu_queue_t1peak_avg_cpu_queue_t1peak_avg_cpu_queue_t2measurepeak_avg_cpu_queue_t2peak_avg_cpu_queue_t2avg_peak_cpu_queue_t1measureavg_peak_cpu_queue_t1avg_peak_cpu_queue_t1avg_peak_cpu_queue_t2measureavg_peak_cpu_queue_t2avg_peak_cpu_queue_t2peak_cpu_queue_t1measurepeak_cpu_queue_t1peak_cpu_queue_t1peak_cpu_queue_t2measurepeak_cpu_queue_t2peak_cpu_queue_t2avg_ram_percent_t1measureavg_ram_percent_t1avg_ram_percent_t1avg_ram_percent_t2measureavg_ram_percent_t2avg_ram_percent_t2peak_avg_ram_percent_t1measurepeak_avg_ram_percent_t1peak_avg_ram_percent_t1peak_avg_ram_percent_t2measurepeak_avg_ram_percent_t2peak_avg_ram_percent_t2avg_peak_ram_percent_t1measureavg_peak_ram_percent_t1avg_peak_ram_percent_t1avg_peak_ram_percent_t2measureavg_peak_ram_percent_t2avg_peak_ram_percent_t2peak_ram_percent_t1measurepeak_ram_percent_t1peak_ram_percent_t1peak_ram_percent_t2measurepeak_ram_percent_t2peak_ram_percent_t2min_login_delay_s_t1measuremin_login_delay_s_t1min_login_delay_s_t1min_login_delay_s_t2measuremin_login_delay_s_t2min_login_delay_s_t2avg_login_delay_s_t1measureavg_login_delay_s_t1avg_login_delay_s_t1avg_login_delay_s_t2measureavg_login_delay_s_t2avg_login_delay_s_t2peak_login_delay_s_t1measurepeak_login_delay_s_t1peak_login_delay_s_t1peak_login_delay_s_t2measurepeak_login_delay_s_t2peak_login_delay_s_t2desk_app_id_count_t1measuredesk_app_id_count_t1desk_app_id_count_t1desk_app_id_count_t2measuredesk_app_id_count_t2desk_app_id_count_t2desk_app_name_count_t1measuredesk_app_name_count_t1desk_app_name_count_t1desk_app_name_count_t2measuredesk_app_name_count_t2desk_app_name_count_t2desk_app_process_name_count_t1measuredesk_app_process_name_count_t1desk_app_process_name_count_t1desk_app_process_name_count_t2measuredesk_app_process_name_count_t2desk_app_process_name_count_t2desk_app_id_fg_count_t1measuredesk_app_id_fg_count_t1desk_app_id_fg_count_t1desk_app_id_fg_count_t2measuredesk_app_id_fg_count_t2desk_app_id_fg_count_t2desk_app_name_fg_count_t1measuredesk_app_name_fg_count_t1desk_app_name_fg_count_t1desk_app_name_fg_count_t2measuredesk_app_name_fg_count_t2desk_app_name_fg_count_t2desk_app_process_name_fg_count_t1measuredesk_app_process_name_fg_count_t1desk_app_process_name_fg_count_t1desk_app_process_name_fg_count_t2measuredesk_app_process_name_fg_count_t2desk_app_process_name_fg_count_t2desk_app_id_anr_count_t1measuredesk_app_id_anr_count_t1desk_app_id_anr_count_t1desk_app_id_anr_count_t2measuredesk_app_id_anr_count_t2desk_app_id_anr_count_t2desk_app_name_anr_count_t1measuredesk_app_name_anr_count_t1desk_app_name_anr_count_t1desk_app_name_anr_count_t2measuredesk_app_name_anr_count_t2desk_app_name_anr_count_t2desk_app_process_name_anr_count_t1measuredesk_app_process_name_anr_count_t1desk_app_process_name_anr_count_t1desk_app_process_name_anr_count_t2measuredesk_app_process_name_anr_count_t2desk_app_process_name_anr_count_t2min_launch_delay_s_t1measuremin_launch_delay_s_t1min_launch_delay_s_t1min_launch_delay_s_t2measuremin_launch_delay_s_t2min_launch_delay_s_t2avg_launch_delay_s_t1measureavg_launch_delay_s_t1avg_launch_delay_s_t1avg_launch_delay_s_t2measureavg_launch_delay_s_t2avg_launch_delay_s_t2peak_avg_launch_delay_s_t1measurepeak_avg_launch_delay_s_t1peak_avg_launch_delay_s_t1peak_avg_launch_delay_s_t2measurepeak_avg_launch_delay_s_t2peak_avg_launch_delay_s_t2avg_peak_launch_delay_s_t1measureavg_peak_launch_delay_s_t1avg_peak_launch_delay_s_t1avg_peak_launch_delay_s_t2measureavg_peak_launch_delay_s_t2avg_peak_launch_delay_s_t2peak_launch_delay_s_t1measurepeak_launch_delay_s_t1peak_launch_delay_s_t1peak_launch_delay_s_t2measurepeak_launch_delay_s_t2peak_launch_delay_s_t2total_anr_t1measuretotal_anr_t1total_anr_t1total_anr_t2measuretotal_anr_t2total_anr_t2total_fg_time_sec_t1measuretotal_fg_time_sec_t1total_fg_time_sec_t1total_fg_time_sec_t2measuretotal_fg_time_sec_t2total_fg_time_sec_t2avg_app_launch_delay_s_t1measureavg_app_launch_delay_s_t1avg_app_launch_delay_s_t1avg_app_launch_delay_s_t2measureavg_app_launch_delay_s_t2avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t1measurepeak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t2measurepeak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t2total_app_anr_t1measuretotal_app_anr_t1total_app_anr_t1total_app_anr_t2measuretotal_app_anr_t2total_app_anr_t2host_count_t1measurehost_count_t1host_count_t1host_count_t2measurehost_count_t2host_count_t2machine_type_count_t1measuremachine_type_count_t1machine_type_count_t1machine_type_count_t2measuremachine_type_count_t2machine_type_count_t2machine_types_t1dimensionmachine_types_t1machine_types_t1machine_types_t2dimensionmachine_types_t2machine_types_t2platform_names_t1dimensionplatform_names_t1platform_names_t1platform_names_t2dimensionplatform_names_t2platform_names_t2platform_count_t1measureplatform_count_t1platform_count_t1platform_count_t2measureplatform_count_t2platform_count_t2os_version_count_t1measureos_version_count_t1os_version_count_t1os_version_count_t2measureos_version_count_t2os_version_count_t2avg_disk_used_percentage_t1measureavg_disk_used_percentage_t1avg_disk_used_percentage_t1avg_disk_used_percentage_t2measureavg_disk_used_percentage_t2avg_disk_used_percentage_t2avg_disk_queue_t1measureavg_disk_queue_t1avg_disk_queue_t1avg_disk_queue_t2measureavg_disk_queue_t2avg_disk_queue_t2avg_disk_response_time_ms_t1measureavg_disk_response_time_ms_t1avg_disk_response_time_ms_t1avg_disk_response_time_ms_t2measureavg_disk_response_time_ms_t2avg_disk_response_time_ms_t2avg_nrt_ms_t1measureavg_nrt_ms_t1avg_nrt_ms_t1avg_nrt_ms_t2measureavg_nrt_ms_t2avg_nrt_ms_t2avg_session_latency_ms_t1measureavg_session_latency_ms_t1avg_session_latency_ms_t1avg_session_latency_ms_t2measureavg_session_latency_ms_t2avg_session_latency_ms_t2total_inc_conn_count_t1measuretotal_inc_conn_count_t1total_inc_conn_count_t1total_inc_conn_count_t2measuretotal_inc_conn_count_t2total_inc_conn_count_t2total_nic_mb_t1measuretotal_nic_mb_t1total_nic_mb_t1total_nic_mb_t2measuretotal_nic_mb_t2total_nic_mb_t2avg_nic_kbps_t1measureavg_nic_kbps_t1avg_nic_kbps_t1avg_nic_kbps_t2measureavg_nic_kbps_t2avg_nic_kbps_t2param_1StartTimedateTime931falsetruefalseparam_2EndTimedateTime932falsetruefalseparam_3TimeZoneStringstring123falsetruefalseparam_4UserGroupstring124falsetruefalseparam_5UserGroupstring125falsetruefalseparam_6MachineGroupstring126falsetruefalseparam_7MachineGroupstring127truefalseparam_8StartTimedateTime938falsetruefalseparam_9EndTimedateTime939truefalseparam_10TimeZoneStringstring1210falsetruefalseparam_11UserGroupstring1211falsetruefalseparam_12UserGroupstring1212falsetruefalseparam_13MachineGroupstring1213truefalseparam_14MachineGroupstring1214truefalseparam_15StartTimedateTime9315truefalseparam_16EndTimedateTime9316truefalseparam_17TimeZoneStringstring1217truefalseparam_18MachineGroupstring1218truefalseparam_19MachineGroupstring1219falsetruefalseparam_20StartTimedateTime9320truefalseparam_21EndTimedateTime9321falsetruefalseparam_22TimeZoneStringstring1222truefalseparam_23MachineGroupstring1223falsetruefalseparam_24MachineGroupstring1224falsetruefalseparam_25CompStartTimedateTime9325truefalseparam_26CompEndTimedateTime9326truefalseparam_27TimeZoneStringstring1227truefalseparam_28UserGroupstring1228truefalseparam_29UserGroupstring1229falsetruefalseparam_30MachineGroupstring1230falsetruefalseparam_31MachineGroupstring1231falsetruefalseparam_32CompStartTimedateTime9332truefalseparam_33CompEndTimedateTime9333falsetruefalseparam_34TimeZoneStringstring1234truefalseparam_35UserGroupstring1235falsetruefalseparam_36UserGroupstring1236falsetruefalseparam_37MachineGroupstring1237truefalseparam_38MachineGroupstring1238truefalseparam_39CompStartTimedateTime9339truefalseparam_40CompEndTimedateTime9340truefalseparam_41TimeZoneStringstring1241truefalseparam_42MachineGroupstring1242truefalseparam_43MachineGroupstring1243truefalseparam_44CompStartTimedateTime9344falsetruefalseparam_45CompEndTimedateTime9345truefalseparam_46TimeZoneStringstring1246falsetruefalseparam_47MachineGroupstring1247truefalseparam_48MachineGroupstring1248truefalseparam_49EndTimedateTime9349falsetruefalseparam_50StartTimedateTime9350falsetruefalseparam_51StartTimedateTime9351truefalseparam_52EndTimedateTime9352truefalseparam_53TimeZoneStringstring1253truefalseparam_54MachineGroupstring1254truefalseparam_55MachineGroupstring1255truefalseparam_56CompStartTimedateTime9356falsetruefalseparam_57CompEndTimedateTime9357truefalseparam_58CompStartTimedateTime9358truefalseparam_59CompEndTimedateTime9359falsetruefalseparam_60UserGroupstring1260truefalseparam_61UserGroupstring1261truefalseparam_62CompEndTimedateTime9362falsetruefalseparam_63CompStartTimedateTime9363truefalseparam_64CompStartTimedateTime9364truefalseparam_65CompEndTimedateTime9365truefalseparam_66TimeZoneStringstring1266truefalseparam_67MachineGroupstring1267truefalseparam_68MachineGroupstring1268truefalseparam_69CompStartTimedateTime9369truefalseparam_70CompEndTimedateTime9370truefalseparam_71CompStartTimedateTime9371truefalseparam_72CompEndTimedateTime9372truefalseparam_73UserGroupstring1273truefalseparam_74UserGroupstring1274truefalseparam_75StartTimedateTime9375truefalseparam_76EndTimedateTime9376truefalseparam_77TimeZoneStringstring1277truefalseparam_78UserGroupstring1278truefalseparam_79UserGroupstring1279truefalseparam_80MachineGroupstring1280truefalseparam_81MachineGroupstring1281truefalseparam_82CompStartTimedateTime9382truefalseparam_83CompEndTimedateTime9383truefalseparam_84TimeZoneStringstring1284truefalseparam_85UserGroupstring1285truefalseparam_86UserGroupstring1286truefalseparam_87MachineGroupstring1287truefalseparam_88MachineGroupstring1288truefalse1user_count_t1decimal2user_count_t2decimal3machine_count_t1decimal4machine_count_t2decimal5machine_labelstring6machine_registered_countdecimal7machine_license_countinteger8machine_total_countdecimal9user_labelstring10user_registered_countdecimal11user_license_countinteger12user_total_countdecimal13worst_ux_score_t1float14worst_ux_score_t2float15avg_ux_score_t1float16avg_ux_score_t2float17best_ux_score_t1float18best_ux_score_t2float19machines_ux_good_count_t1decimal20machines_ux_fair_count_t1decimal21machines_ux_poor_count_t1decimal22machines_ux_good_count_t2decimal23machines_ux_fair_count_t2decimal24machines_ux_poor_count_t2decimal25avg_cpu_percent_t1float26avg_cpu_percent_t2float27avg_peak_cpu_percent_t1float28avg_peak_cpu_percent_t2float29avg_cpu_queue_t1float30avg_cpu_queue_t2float31peak_avg_cpu_queue_t1float32peak_avg_cpu_queue_t2float33avg_peak_cpu_queue_t1float34avg_peak_cpu_queue_t2float35peak_cpu_queue_t1float36peak_cpu_queue_t2float37avg_ram_percent_t1float38avg_ram_percent_t2float39peak_avg_ram_percent_t1float40peak_avg_ram_percent_t2float41avg_peak_ram_percent_t1float42avg_peak_ram_percent_t2float43peak_ram_percent_t1float44peak_ram_percent_t2float45min_login_delay_s_t1float46min_login_delay_s_t2float47avg_login_delay_s_t1float48avg_login_delay_s_t2float49peak_login_delay_s_t1float50peak_login_delay_s_t2float51desk_app_id_count_t1decimal52desk_app_id_count_t2decimal53desk_app_name_count_t1decimal54desk_app_name_count_t2decimal55desk_app_process_name_count_t1decimal56desk_app_process_name_count_t2decimal57desk_app_id_fg_count_t1decimal58desk_app_id_fg_count_t2decimal59desk_app_name_fg_count_t1decimal60desk_app_name_fg_count_t2decimal61desk_app_process_name_fg_count_t1decimal62desk_app_process_name_fg_count_t2decimal63desk_app_id_anr_count_t1decimal64desk_app_id_anr_count_t2decimal65desk_app_name_anr_count_t1decimal66desk_app_name_anr_count_t2decimal67desk_app_process_name_anr_count_t1decimal68desk_app_process_name_anr_count_t2decimal69min_launch_delay_s_t1decimal70min_launch_delay_s_t2decimal71avg_launch_delay_s_t1decimal72avg_launch_delay_s_t2decimal73peak_avg_launch_delay_s_t1decimal74peak_avg_launch_delay_s_t2decimal75avg_peak_launch_delay_s_t1decimal76avg_peak_launch_delay_s_t2decimal77peak_launch_delay_s_t1decimal78peak_launch_delay_s_t2decimal79total_anr_t1decimal80total_anr_t2decimal81total_fg_time_sec_t1float82total_fg_time_sec_t2float83avg_app_launch_delay_s_t1float84avg_app_launch_delay_s_t2float85peak_avg_app_launch_delay_s_t1float86peak_avg_app_launch_delay_s_t2float87total_app_anr_t1decimal88total_app_anr_t2decimal89host_count_t1decimal90host_count_t2decimal91machine_type_count_t1decimal92machine_type_count_t2decimal93machine_types_t1string94machine_types_t2string95platform_names_t1string96platform_names_t2string97platform_count_t1decimal98platform_count_t2decimal99os_version_count_t1decimal100os_version_count_t2decimal101avg_disk_used_percentage_t1float102avg_disk_used_percentage_t2float103avg_disk_queue_t1float104avg_disk_queue_t2float105avg_disk_response_time_ms_t1decimal106avg_disk_response_time_ms_t2decimal107avg_nrt_ms_t1float108avg_nrt_ms_t2float109avg_session_latency_ms_t1float110avg_session_latency_ms_t2float111total_inc_conn_count_t1decimal112total_inc_conn_count_t2decimal113total_nic_mb_t1float114total_nic_mb_t2float115avg_nic_kbps_t1float116avg_nic_kbps_t2float117avg_ux_rating_t1string118avg_ux_rating_t2stringPortal1user_count_t1user_count_t1decimal-52user_count_t2user_count_t2decimal-53machine_count_t1machine_count_t1decimal-54machine_count_t2machine_count_t2decimal-55machine_labelmachine_labelstring126machine_registered_countmachine_registered_countdecimal-57machine_license_countmachine_license_countinteger48machine_total_countmachine_total_countdecimal-59user_labeluser_labelstring1210user_registered_countuser_registered_countdecimal-511user_license_countuser_license_countinteger412user_total_countuser_total_countdecimal-513worst_ux_score_t1worst_ux_score_t1float814worst_ux_score_t2worst_ux_score_t2float815avg_ux_score_t1avg_ux_score_t1float816avg_ux_score_t2avg_ux_score_t2float817best_ux_score_t1best_ux_score_t1float818best_ux_score_t2best_ux_score_t2float819machines_ux_good_count_t1machines_ux_good_count_t1decimal-520machines_ux_fair_count_t1machines_ux_fair_count_t1decimal-521machines_ux_poor_count_t1machines_ux_poor_count_t1decimal-522machines_ux_good_count_t2machines_ux_good_count_t2decimal-523machines_ux_fair_count_t2machines_ux_fair_count_t2decimal-524machines_ux_poor_count_t2machines_ux_poor_count_t2decimal-525avg_cpu_percent_t1avg_cpu_percent_t1float826avg_cpu_percent_t2avg_cpu_percent_t2float827avg_peak_cpu_percent_t1avg_peak_cpu_percent_t1float828avg_peak_cpu_percent_t2avg_peak_cpu_percent_t2float829avg_cpu_queue_t1avg_cpu_queue_t1float830avg_cpu_queue_t2avg_cpu_queue_t2float831peak_avg_cpu_queue_t1peak_avg_cpu_queue_t1float832peak_avg_cpu_queue_t2peak_avg_cpu_queue_t2float833avg_peak_cpu_queue_t1avg_peak_cpu_queue_t1float834avg_peak_cpu_queue_t2avg_peak_cpu_queue_t2float835peak_cpu_queue_t1peak_cpu_queue_t1float836peak_cpu_queue_t2peak_cpu_queue_t2float837avg_ram_percent_t1avg_ram_percent_t1float838avg_ram_percent_t2avg_ram_percent_t2float839peak_avg_ram_percent_t1peak_avg_ram_percent_t1float840peak_avg_ram_percent_t2peak_avg_ram_percent_t2float841avg_peak_ram_percent_t1avg_peak_ram_percent_t1float842avg_peak_ram_percent_t2avg_peak_ram_percent_t2float843peak_ram_percent_t1peak_ram_percent_t1float844peak_ram_percent_t2peak_ram_percent_t2float845min_login_delay_s_t1min_login_delay_s_t1float846min_login_delay_s_t2min_login_delay_s_t2float847avg_login_delay_s_t1avg_login_delay_s_t1float848avg_login_delay_s_t2avg_login_delay_s_t2float849peak_login_delay_s_t1peak_login_delay_s_t1float850peak_login_delay_s_t2peak_login_delay_s_t2float851desk_app_id_count_t1desk_app_id_count_t1decimal-552desk_app_id_count_t2desk_app_id_count_t2decimal-553desk_app_name_count_t1desk_app_name_count_t1decimal-554desk_app_name_count_t2desk_app_name_count_t2decimal-555desk_app_process_name_count_t1desk_app_process_name_count_t1decimal-556desk_app_process_name_count_t2desk_app_process_name_count_t2decimal-557desk_app_id_fg_count_t1desk_app_id_fg_count_t1decimal-558desk_app_id_fg_count_t2desk_app_id_fg_count_t2decimal-559desk_app_name_fg_count_t1desk_app_name_fg_count_t1decimal-560desk_app_name_fg_count_t2desk_app_name_fg_count_t2decimal-561desk_app_process_name_fg_count_t1desk_app_process_name_fg_count_t1decimal-562desk_app_process_name_fg_count_t2desk_app_process_name_fg_count_t2decimal-563desk_app_id_anr_count_t1desk_app_id_anr_count_t1decimal-564desk_app_id_anr_count_t2desk_app_id_anr_count_t2decimal-565desk_app_name_anr_count_t1desk_app_name_anr_count_t1decimal-566desk_app_name_anr_count_t2desk_app_name_anr_count_t2decimal-567desk_app_process_name_anr_count_t1desk_app_process_name_anr_count_t1decimal-568desk_app_process_name_anr_count_t2desk_app_process_name_anr_count_t2decimal-569min_launch_delay_s_t1min_launch_delay_s_t1decimal270min_launch_delay_s_t2min_launch_delay_s_t2decimal271avg_launch_delay_s_t1avg_launch_delay_s_t1decimal272avg_launch_delay_s_t2avg_launch_delay_s_t2decimal273peak_avg_launch_delay_s_t1peak_avg_launch_delay_s_t1decimal274peak_avg_launch_delay_s_t2peak_avg_launch_delay_s_t2decimal275avg_peak_launch_delay_s_t1avg_peak_launch_delay_s_t1decimal276avg_peak_launch_delay_s_t2avg_peak_launch_delay_s_t2decimal277peak_launch_delay_s_t1peak_launch_delay_s_t1decimal278peak_launch_delay_s_t2peak_launch_delay_s_t2decimal279total_anr_t1total_anr_t1decimal280total_anr_t2total_anr_t2decimal281total_fg_time_sec_t1total_fg_time_sec_t1float882total_fg_time_sec_t2total_fg_time_sec_t2float883avg_app_launch_delay_s_t1avg_app_launch_delay_s_t1float884avg_app_launch_delay_s_t2avg_app_launch_delay_s_t2float885peak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t1float886peak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t2float887total_app_anr_t1total_app_anr_t1decimal-588total_app_anr_t2total_app_anr_t2decimal-589host_count_t1host_count_t1decimal-590host_count_t2host_count_t2decimal-591machine_type_count_t1machine_type_count_t1decimal-592machine_type_count_t2machine_type_count_t2decimal-593machine_types_t1machine_types_t1string200394machine_types_t2machine_types_t2string200395platform_names_t1platform_names_t1string1296platform_names_t2platform_names_t2string1297platform_count_t1platform_count_t1decimal-598platform_count_t2platform_count_t2decimal-599os_version_count_t1os_version_count_t1decimal-5100os_version_count_t2os_version_count_t2decimal-5101avg_disk_used_percentage_t1avg_disk_used_percentage_t1float8102avg_disk_used_percentage_t2avg_disk_used_percentage_t2float8103avg_disk_queue_t1avg_disk_queue_t1float8104avg_disk_queue_t2avg_disk_queue_t2float8105avg_disk_response_time_ms_t1avg_disk_response_time_ms_t1decimal2106avg_disk_response_time_ms_t2avg_disk_response_time_ms_t2decimal2107avg_nrt_ms_t1avg_nrt_ms_t1float8108avg_nrt_ms_t2avg_nrt_ms_t2float8109avg_session_latency_ms_t1avg_session_latency_ms_t1float8110avg_session_latency_ms_t2avg_session_latency_ms_t2float8111total_inc_conn_count_t1total_inc_conn_count_t1decimal-5112total_inc_conn_count_t2total_inc_conn_count_t2decimal-5113total_nic_mb_t1total_nic_mb_t1float8114total_nic_mb_t2total_nic_mb_t2float8115avg_nic_kbps_t1avg_nic_kbps_t1float8116avg_nic_kbps_t2avg_nic_kbps_t2float8 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
min(lstats.login_delay_s) as min_login_delay_s,
avg(lstats.login_delay_s) as avg_login_delay_s,
max(lstats.login_delay_s) as peak_login_delay_s,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
sum(s.total_app_anr) as total_app_anr,
count(distinct s.vmhost_id) as host_count,
count(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_type_count,
array_agg(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_types,
count(distinct os.name) as platform_count,
string_agg(distinct os.name, ',') as platform_names,
count(distinct os.version) as os_version_count,
-- Physical Disk Stats
-- avg(pdisk_stats.disk_count)::float as avg_disk_count,
-- (sum(pdisk_stats.avg_read_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_read_iops,
-- (sum(pdisk_stats.avg_write_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_write_iops,
-- (sum(pdisk_stats.avg_read_io_count)/sum(pdisk_stats.dcid_seconds) + sum(pdisk_stats.avg_write_io_count)/sum(pdisk_stats.dcid_seconds)) as avg_disk_iops,
-- avg(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as avg_peak_disk_iops,
-- max(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as peak_disk_iops,
-- sum(pdisk_stats.avg_read_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_read_iorate_kbps,
-- sum(pdisk_stats.avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_write_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes + avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes)/1048576 as total_disk_read_io_mb,
-- sum(pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_write_io_mb,
-- sum(pdisk_stats.avg_read_io_bytes + pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_io_mb,
-- avg(pdisk_stats.avg_disk_used_gb) as avg_disk_used_gb,
avg(case when pdisk_stats.avg_disk_alloc_gb > 0 then least(pdisk_stats.avg_disk_used_gb/pdisk_stats.avg_disk_alloc_gb, 1) else null end) * 100 as avg_disk_used_percentage,
-- avg(pdisk_stats.avg_disk_alloc_gb) as avg_disk_alloc_gb,
-- -- round((avg(avg_size_gb) * count(distinct s.node_id))::numeric, 2) as sum_disk_size_gb,
avg(case when pdisk_stats.total_avg_queue > 0 then pdisk_stats.total_avg_queue else null end) as avg_disk_queue,
-- max(pdisk_stats.total_peak_queue) as peak_disk_queue,
avg(case when pdisk_stats.avg_disk_response_time_ms > 0 then pdisk_stats.avg_disk_response_time_ms else null end) as avg_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_peak_disk_response_time_ms > 0 then pdisk_stats.avg_peak_disk_response_time_ms else null end) as avg_peak_disk_response_time_ms,
-- max(pdisk_stats.avg_peak_disk_response_time_ms) as peak_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_disk_utilization_percent > 0 then pdisk_stats.avg_disk_utilization_percent else null end) as avg_disk_utilization_percent,
-- avg(case when pdisk_stats.avg_peak_disk_utilization_percent > 0 then pdisk_stats.avg_peak_disk_utilization_percent else null end) as avg_peak_disk_utilization_percent,
-- max(pdisk_stats.avg_peak_disk_utilization_percent) as peak_disk_utilization_percent,
-- Network
avg(case when s.avg_center_nrt > 0 then s.avg_center_nrt else null end)/1000.0 as avg_nrt_ms,
avg(case when s.avg_inc_nrt > 0 then s.avg_inc_nrt else null end)/1000.0 as avg_session_latency_ms,
sum(s.inc_conn_count) as total_inc_conn_count,
-- NIC stats
-- round((avg(nic_stats.nic_count))::numeric, 1) as nic_count,
-- sum(nic_stats.total_send_bytes) / 1048576 as total_nic_send_mb,
-- sum(nic_stats.total_receive_bytes) / 1048576 as total_nic_receive_mb,
(sum(nic_stats.total_send_bytes) + sum(nic_stats.total_receive_bytes)) / 1048576 as total_nic_mb,
-- (sum(nic_stats.total_send_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_send_kbps,
-- (sum(nic_stats.total_receive_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_receive_kbps,
((sum(nic_stats.total_send_bytes) / sum(nic_stats.ncid_seconds)) + (sum(total_receive_bytes) / sum(nic_stats.ncid_seconds))) / 1024 as avg_nic_kbps
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date::timestamptz at time zone ?) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
join (
select
nde.id as node_id,
nde.os_id,
nde.vmtype,
nde.vmhost_id,
nde.fqmn,
age(current_timestamp, nde.bios_date) as machine_age,
age(current_timestamp, nde.last_boot_time) as machine_up_time,
nde_hw_cpu.cores_per_cpu as cores_per_cpu,
nde_hw_cpu.cpu_speed_mhz as cpu_speed_mhz,
nde_hw_cpu.cpu_count,
nde_hw_cpu.total_cpu_alloc_cores,
nde_hw_cpu.total_cpu_alloc_mhz
from
tnt_config.node nde
join (
select
hardware_id,
max(cores) as cores_per_cpu,
round(avg(speed_mhz)::numeric, 0) as cpu_speed_mhz,
count(distinct id) as cpu_count,
sum(cores) as total_cpu_alloc_cores,
sum(speed_mhz * cores) as total_cpu_alloc_mhz
from
tnt_config.node_hardware_cpus
group by
hardware_id
) nde_hw_cpu on (nde_hw_cpu.hardware_id = nde.hardware_id)
where
nde.delete_time is null
and nde.ihostversion is not null
) nde on (nde.node_id = s.node_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.policyidentity pi on (pi.id = s.user_id and pi.delete_time is null and pi.type = 1)
-- left outer join tnt_config.vmhost vmh on (vmh.id = case when s.vmhost_id is null then nde.vmhost_id else s.vmhost_id end)
-- Login stats: summaryreport_login_stats
left outer join(
select
s.node_id,
s.start_date,
s.end_date,
cast(s.details->'session' as int) as session_id,
-- s.user_os_id as user_guid,
s.user_id as user_id,
-- lower(pi.name) as user_name,
-- lower(s.name) as user_domain_name,
-- split_part(lower(s.name), '@', 2) as domain_name,
s.login_time,
s.logout_time,
s.first_record,
s.login_delay_ms,
(case when s.first_record is true then s.login_delay_ms/1000.0 else null end) as login_delay_s,
s.is_admin,
s.secs_active,
cast(s.details->'idle' as float) as session_callback_idle_min,
cast(s.details->'idle_total' as float) as session_total_idle_min,
-- s.network_id,
s.remote_ip,
s.remote_machine_name,
-- cast(s.details->'preloginActTime' as float) as pre_login_actual_time_ms,
-- -- cast(s.details->'breakdownLoginTimeEpochMs' as float) as login_breakdown_time_epoch_ms,
-- to_timestamp(cast(s.details->'breakdownLoginTimeEpochMs' as bigint)/1000) as login_breakdown_time_utc,
-- cast(s.details->'postloginActTime' as float) as post_login_actual_time_ms,
-- cast(s.details->'DCDiscoveryTime' as float) as dc_discovery_time_ms,
-- cast(s.details->'DCIP' as inet) as dc_ip,
-- cast(s.details->'DCName' as text) as dc_name,
-- cast(s.details->'authenticationTime' as float) as authentication_time_ms,
-- cast(s.details->'GPComputerTime' as float) as gp_computer_time_ms,
-- cast(s.details->'GPScriptsTime' as float) as gp_scripts_time_ms,
-- cast(s.details->'GPUserTime' as float) as gp_user_time_ms,
-- cast(s.details->'NetworkPrividerTime' as float) as network_provider_time_ms,
-- cast(s.details->'UserProfileTime' as float) as user_profile_time_ms,
-- cast(s.details->'abnormalEvents' as int) as abnormal_events,
-- cast(s.details->'loadShellTime' as float) as load_shell_time_ms,
-- cast(s.details->'restoreNetworkTime' as float) as restore_network_time_ms,
-- cast(s.details->'themeslogonTime' as float) as themes_logon_time_ms,
-- cast(s.details->'updateUserParameterTime' as float) as update_user_parameter_time_ms,
-- s.details,
greatest(extract(epoch from s.end_date - s.start_date), 1) as lcid_seconds
from
tnt_audit.summaryreport_login_stats s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date::timestamptz at time zone ?) between 1 and 5)
-- User group filer
and ('%' = ? or s.user_id is null or s.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) lstats on (
lstats.node_id = s.node_id
and lstats.start_date = s.start_date
and lstats.end_date = s.end_date
and lstats.user_id = s.user_id
)
-- Physical disk stats: summaryreport_disk_stats
left outer join (
-- Sum up numbers across disks by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
count(distinct lower(s.name)) as disk_count,
string_agg(s.name, ',') as disk_names,
string_agg(s.disk_label, ',') as disk_labels,
s.datastore_id,
s.datastore_name,
count(distinct s.datastore_id) as datastore_count,
string_agg(distinct s.datastore_name, ',') as datastore_names,
sum(avg_read_iops) as avg_read_iops,
sum(peak_read_iops) as peak_read_iops,
sum(avg_write_iops) as avg_write_iops,
sum(peak_write_iops) as peak_write_iops,
sum(avg_read_io_count) as avg_read_io_count,
sum(avg_read_io_count) / avg(dcid_seconds) as avg_read_iops,
sum(avg_write_io_count) as avg_write_io_count,
sum(avg_write_io_count) / avg(dcid_seconds) as avg_write_iops,
sum(avg_read_io_bytes) as avg_read_io_bytes,
sum(avg_read_io_bytes) / avg(dcid_seconds) as avg_read_bytesps,
sum(avg_write_io_bytes) as avg_write_io_bytes,
sum(avg_write_io_bytes) / avg(dcid_seconds) as avg_write_bytesps,
sum(avg_read_rate_bytesps) as avg_read_rate_bytesps,
sum(avg_write_rate_bytesps) as avg_write_rate_bytesps,
sum(avg_disk_alloc_kb) as avg_disk_alloc_kb,
sum(avg_disk_used_kb) as avg_disk_used_kb,
sum(avg_disk_used_kb)/1048576 as avg_disk_used_gb,
sum(avg_disk_alloc_kb)/1048576 as avg_disk_alloc_gb,
avg(case when avg_queue > 0 then avg_queue else null end) as avg_queue,
max(avg_queue) as peak_avg_queue,
sum(avg_queue) as total_avg_queue,
avg(case when peak_queue > 0 then peak_queue else null end) as avg_peak_queue,
max(peak_queue) as peak_queue,
sum(peak_queue) as total_peak_queue,
avg(case when avg_read_latency_ms > 0 then avg_read_latency_ms else null end) as avg_read_latency_ms,
max(avg_read_latency_ms) as peak_avg_read_latency_ms,
avg(case when peak_read_latency_ms > 0 then peak_read_latency_ms else null end) as avg_peak_read_latency_ms,
max(peak_read_latency_ms) as peak_read_latency_ms,
avg(case when avg_write_latency_ms > 0 then avg_write_latency_ms else null end) as avg_write_latency_ms,
max(avg_write_latency_ms) as peak_avg_write_latency_ms,
avg(case when peak_write_latency_ms > 0 then peak_write_latency_ms else null end) as avg_peak_write_latency_ms,
max(peak_write_latency_ms) as peak_write_latency_ms,
avg(avg_disk_utilization_percent) as avg_disk_utilization_percent,
avg(peak_disk_utilization_percent) as avg_peak_disk_utilization_percent,
avg(avg_disk_response_time_ms) as avg_disk_response_time_ms,
avg(peak_disk_response_time_ms) as avg_peak_disk_response_time_ms,
avg(dcid_seconds) as dcid_seconds
from (
-- This is at the node_id, start_date, end_date, disk_name level
select
s.node_id,
s.start_date,
s.end_date,
s.disk_id,
s.name,
s.device,
cast(s.details->'label' as text) as disk_label,
s.vdisk_datastoreid as datastore_id,
-- case when ds.name not ilike 'Unknown' then ds.name else '' end as datastore_name,
case when ds.name not ilike 'Unknown' then ds.name else null end as datastore_name,
1 as disk_count,
s.read_avg as avg_read_iops,
s.read_peak as peak_read_iops,
s.write_avg as avg_write_iops,
s.write_peak as peak_write_iops,
(s.read_avg * s.dcid_seconds) as avg_read_io_count,
(s.write_avg * s.dcid_seconds) as avg_write_io_count,
(s.read_io_avg * 1024 * s.dcid_seconds) as avg_read_io_bytes,
(s.write_io_avg * 1024 * s.dcid_seconds) as avg_write_io_bytes,
(s.read_io_avg * 1024) as avg_read_rate_bytesps,
(s.write_io_avg * 1024) as avg_write_rate_bytesps,
s.avg_used as avg_disk_used_kb,
s.size as avg_disk_alloc_kb,
s.queue_avg as avg_queue,
s.queue_peak as peak_queue,
cast(s.details->'readLatencyAverage' as numeric) as avg_read_latency_ms,
cast(s.details->'readLatencyPeak' as numeric) as peak_read_latency_ms,
cast(s.details->'writeLatencyAverage' as numeric) as avg_write_latency_ms,
cast(s.details->'writeLatencyPeak' as numeric) as peak_write_latency_ms,
cast(s.details->'utilizationPercentMin' as numeric) as min_disk_utilization_percent,
cast(s.details->'utilizationPercentAverage' as numeric) as avg_disk_utilization_percent,
cast(s.details->'utilizationPercentPeak' as numeric) as peak_disk_utilization_percent,
cast(s.details->'responseTimeMSMin' as numeric) as min_disk_response_time_ms,
cast(s.details->'responseTimeMSAverage' as numeric) as avg_disk_response_time_ms,
cast(s.details->'responseTimeMSPeak' as numeric) as peak_disk_response_time_ms,
s.dcid_seconds
from (
select
s.*,
greatest(extract(epoch from s.end_date - s.start_date), 1) as dcid_seconds
from
tnt_audit.summaryreport_disk_stats s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date::timestamptz at time zone ?) between 1 and 5)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
left outer join tnt_config.datastore ds on (ds.id = s.vdisk_datastoreid and ds.delete_time is null)
) s
group by
s.node_id,
s.start_date,
s.end_date,
s.datastore_id,
s.datastore_name
) pdisk_stats on (
pdisk_stats.node_id = s.node_id
and pdisk_stats.start_date = s.start_date
and pdisk_stats.end_date = s.end_date
) -- summaryreport_disk_stats
-- NIC stats
left outer join (
-- Sum up numbers across nics by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
sum(s.nic_count) as nic_count,
string_agg(distinct (array_to_string(s.ip_addresses,',')), ',' ) as ip_addresses,
sum(s.total_send_bytes) as total_send_bytes,
sum(s.total_send_bytes) / avg(s.ncid_seconds) as avg_send_bytesps,
sum(s.peak_send_bytesps) as peak_send_bytesps,
sum(s.total_receive_bytes) as total_receive_bytes,
sum(s.total_receive_bytes) / avg(s.ncid_seconds) as avg_receive_bytesps,
sum(s.peak_receive_bytesps) as peak_receive_bytesps,
avg(s.ncid_seconds) as ncid_seconds
from (
-- This is at the node_id, start_date, end_date, nic name level
select
s.node_id,
s.start_date,
s.end_date,
s.name,
1 as nic_count,
case when s.addresses is null then array['0.0.0.0/32'::inet] else s.addresses end as ip_addresses,
(send_total * 1024) as total_send_bytes,
(send_peak * 1024) as peak_send_bytesps,
(receive_total * 1024) as total_receive_bytes,
(receive_peak * 1024) as peak_receive_bytesps,
greatest(extract(epoch from s.end_date - s.start_date), 1) as ncid_seconds
from
tnt_audit.summaryreport_nic_stats s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date::timestamptz at time zone ?) between 1 and 5)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
and (s.speed > 0)
) s
group by
s.node_id,
s.start_date,
s.end_date
) nic_stats on (
nic_stats.node_id = s.node_id
and nic_stats.start_date = s.start_date
and nic_stats.end_date = s.end_date
) -- summaryreport_nic_stats
) s_t1
left outer join (
select
count(distinct s.user_id) as user_count,
count(distinct s.node_id) as machine_count,
min(s.vdi_ux_overall) as worst_ux_score,
avg(s.vdi_ux_overall) as avg_ux_score,
max(s.vdi_ux_overall) as best_ux_score,
-- count(distinct case when s.vdi_ux_overall >= 2.75 then s.node_id end) as machines_ux_good_count,
-- count(distinct case when s.vdi_ux_overall >= 1.75 and s.vdi_ux_overall < 2.75 then s.node_id end) as machines_ux_fair_count,
-- count(distinct case when s.vdi_ux_overall < 1.75 then s.node_id end) as machines_ux_poor_count,
avg(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as avg_cpu_percent,
max(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as peak_avg_cpu_percent,
avg(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as avg_peak_cpu_percent,
max(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as peak_cpu_percent,
avg(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
min(lstats.login_delay_s) as min_login_delay_s,
avg(lstats.login_delay_s) as avg_login_delay_s,
max(lstats.login_delay_s) as peak_login_delay_s,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
sum(s.total_app_anr) as total_app_anr,
count(distinct s.vmhost_id) as host_count,
-- count(distinct pr_stats.desk_app_id) as app_count,
-- count(distinct case when pr_stats.fg_time_sec > 0 then pr_stats.desk_app_id end) as app_user_focus_count,
count(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_type_count,
array_agg(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_types,
count(distinct os.name) as platform_count,
string_agg(distinct os.name, ',') as platform_names,
count(distinct os.version) as os_version_count,
-- Physical Disk Stats
-- avg(pdisk_stats.disk_count)::float as avg_disk_count,
-- (sum(pdisk_stats.avg_read_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_read_iops,
-- (sum(pdisk_stats.avg_write_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_write_iops,
-- (sum(pdisk_stats.avg_read_io_count)/sum(pdisk_stats.dcid_seconds) + sum(pdisk_stats.avg_write_io_count)/sum(pdisk_stats.dcid_seconds)) as avg_disk_iops,
-- avg(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as avg_peak_disk_iops,
-- max(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as peak_disk_iops,
-- sum(pdisk_stats.avg_read_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_read_iorate_kbps,
-- sum(pdisk_stats.avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_write_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes + avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes)/1048576 as total_disk_read_io_mb,
-- sum(pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_write_io_mb,
-- sum(pdisk_stats.avg_read_io_bytes + pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_io_mb,
-- avg(pdisk_stats.avg_disk_used_gb) as avg_disk_used_gb,
avg(case when pdisk_stats.avg_disk_alloc_gb > 0 then least(pdisk_stats.avg_disk_used_gb/pdisk_stats.avg_disk_alloc_gb, 1) else null end) * 100 as avg_disk_used_percentage,
-- avg(pdisk_stats.avg_disk_alloc_gb) as avg_disk_alloc_gb,
-- -- round((avg(avg_size_gb) * count(distinct s.node_id))::numeric, 2) as sum_disk_size_gb,
avg(case when pdisk_stats.total_avg_queue > 0 then pdisk_stats.total_avg_queue else null end) as avg_disk_queue,
-- max(pdisk_stats.total_peak_queue) as peak_disk_queue,
avg(case when pdisk_stats.avg_disk_response_time_ms > 0 then pdisk_stats.avg_disk_response_time_ms else null end) as avg_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_peak_disk_response_time_ms > 0 then pdisk_stats.avg_peak_disk_response_time_ms else null end) as avg_peak_disk_response_time_ms,
-- max(pdisk_stats.avg_peak_disk_response_time_ms) as peak_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_disk_utilization_percent > 0 then pdisk_stats.avg_disk_utilization_percent else null end) as avg_disk_utilization_percent,
-- avg(case when pdisk_stats.avg_peak_disk_utilization_percent > 0 then pdisk_stats.avg_peak_disk_utilization_percent else null end) as avg_peak_disk_utilization_percent,
-- max(pdisk_stats.avg_peak_disk_utilization_percent) as peak_disk_utilization_percent,
-- Network
avg(case when s.avg_center_nrt > 0 then s.avg_center_nrt else null end)/1000.0 as avg_nrt_ms,
avg(case when s.avg_inc_nrt > 0 then s.avg_inc_nrt else null end)/1000.0 as avg_session_latency_ms,
sum(s.inc_conn_count) as total_inc_conn_count,
-- NIC stats
-- round((avg(nic_stats.nic_count))::numeric, 1) as nic_count,
-- sum(nic_stats.total_send_bytes) / 1048576 as total_nic_send_mb,
-- sum(nic_stats.total_receive_bytes) / 1048576 as total_nic_receive_mb,
(sum(nic_stats.total_send_bytes) + sum(nic_stats.total_receive_bytes)) / 1048576 as total_nic_mb,
-- (sum(nic_stats.total_send_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_send_kbps,
-- (sum(nic_stats.total_receive_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_receive_kbps,
((sum(nic_stats.total_send_bytes) / sum(nic_stats.ncid_seconds)) + (sum(total_receive_bytes) / sum(nic_stats.ncid_seconds))) / 1024 as avg_nic_kbps
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date::timestamptz at time zone ?) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
join (
select
nde.id as node_id,
nde.os_id,
nde.vmtype,
nde.vmhost_id,
nde.fqmn,
age(current_timestamp, nde.bios_date) as machine_age,
age(current_timestamp, nde.last_boot_time) as machine_up_time,
nde_hw_cpu.cores_per_cpu as cores_per_cpu,
nde_hw_cpu.cpu_speed_mhz as cpu_speed_mhz,
nde_hw_cpu.cpu_count,
nde_hw_cpu.total_cpu_alloc_cores,
nde_hw_cpu.total_cpu_alloc_mhz
from
tnt_config.node nde
join (
select
hardware_id,
max(cores) as cores_per_cpu,
round(avg(speed_mhz)::numeric, 0) as cpu_speed_mhz,
count(distinct id) as cpu_count,
sum(cores) as total_cpu_alloc_cores,
sum(speed_mhz * cores) as total_cpu_alloc_mhz
from
tnt_config.node_hardware_cpus
group by
hardware_id
) nde_hw_cpu on (nde_hw_cpu.hardware_id = nde.hardware_id)
where
nde.delete_time is null
and nde.ihostversion is not null
) nde on (nde.node_id = s.node_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.policyidentity pi on (pi.id = s.user_id and pi.delete_time is null and pi.type = 1)
-- left outer join tnt_config.vmhost vmh on (vmh.id = case when s.vmhost_id is null then nde.vmhost_id else s.vmhost_id end)
-- Login stats: summaryreport_login_stats
left outer join(
select
s.node_id,
s.start_date,
s.end_date,
cast(s.details->'session' as int) as session_id,
-- s.user_os_id as user_guid,
s.user_id as user_id,
-- lower(pi.name) as user_name,
-- lower(s.name) as user_domain_name,
-- split_part(lower(s.name), '@', 2) as domain_name,
s.login_time,
s.logout_time,
s.first_record,
s.login_delay_ms,
(case when s.first_record is true then s.login_delay_ms/1000.0 else null end) as login_delay_s,
s.is_admin,
s.secs_active,
cast(s.details->'idle' as float) as session_callback_idle_min,
cast(s.details->'idle_total' as float) as session_total_idle_min,
-- s.network_id,
s.remote_ip,
s.remote_machine_name,
-- cast(s.details->'preloginActTime' as float) as pre_login_actual_time_ms,
-- -- cast(s.details->'breakdownLoginTimeEpochMs' as float) as login_breakdown_time_epoch_ms,
-- to_timestamp(cast(s.details->'breakdownLoginTimeEpochMs' as bigint)/1000) as login_breakdown_time_utc,
-- cast(s.details->'postloginActTime' as float) as post_login_actual_time_ms,
-- cast(s.details->'DCDiscoveryTime' as float) as dc_discovery_time_ms,
-- cast(s.details->'DCIP' as inet) as dc_ip,
-- cast(s.details->'DCName' as text) as dc_name,
-- cast(s.details->'authenticationTime' as float) as authentication_time_ms,
-- cast(s.details->'GPComputerTime' as float) as gp_computer_time_ms,
-- cast(s.details->'GPScriptsTime' as float) as gp_scripts_time_ms,
-- cast(s.details->'GPUserTime' as float) as gp_user_time_ms,
-- cast(s.details->'NetworkPrividerTime' as float) as network_provider_time_ms,
-- cast(s.details->'UserProfileTime' as float) as user_profile_time_ms,
-- cast(s.details->'abnormalEvents' as int) as abnormal_events,
-- cast(s.details->'loadShellTime' as float) as load_shell_time_ms,
-- cast(s.details->'restoreNetworkTime' as float) as restore_network_time_ms,
-- cast(s.details->'themeslogonTime' as float) as themes_logon_time_ms,
-- cast(s.details->'updateUserParameterTime' as float) as update_user_parameter_time_ms,
-- s.details,
greatest(extract(epoch from s.end_date - s.start_date), 1) as lcid_seconds
from
tnt_audit.summaryreport_login_stats s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date::timestamptz at time zone ?) between 1 and 5)
-- User group filer
and ('%' = ? or s.user_id is null or s.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) lstats on (
lstats.node_id = s.node_id
and lstats.start_date = s.start_date
and lstats.end_date = s.end_date
and lstats.user_id = s.user_id
)
-- Physical disk stats: summaryreport_disk_stats
left outer join (
-- Sum up numbers across disks by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
count(distinct lower(s.name)) as disk_count,
string_agg(s.name, ',') as disk_names,
string_agg(s.disk_label, ',') as disk_labels,
s.datastore_id,
s.datastore_name,
count(distinct s.datastore_id) as datastore_count,
string_agg(distinct s.datastore_name, ',') as datastore_names,
sum(avg_read_iops) as avg_read_iops,
sum(peak_read_iops) as peak_read_iops,
sum(avg_write_iops) as avg_write_iops,
sum(peak_write_iops) as peak_write_iops,
sum(avg_read_io_count) as avg_read_io_count,
sum(avg_read_io_count) / avg(dcid_seconds) as avg_read_iops,
sum(avg_write_io_count) as avg_write_io_count,
sum(avg_write_io_count) / avg(dcid_seconds) as avg_write_iops,
sum(avg_read_io_bytes) as avg_read_io_bytes,
sum(avg_read_io_bytes) / avg(dcid_seconds) as avg_read_bytesps,
sum(avg_write_io_bytes) as avg_write_io_bytes,
sum(avg_write_io_bytes) / avg(dcid_seconds) as avg_write_bytesps,
sum(avg_read_rate_bytesps) as avg_read_rate_bytesps,
sum(avg_write_rate_bytesps) as avg_write_rate_bytesps,
sum(avg_disk_alloc_kb) as avg_disk_alloc_kb,
sum(avg_disk_used_kb) as avg_disk_used_kb,
sum(avg_disk_used_kb)/1048576 as avg_disk_used_gb,
sum(avg_disk_alloc_kb)/1048576 as avg_disk_alloc_gb,
avg(case when avg_queue > 0 then avg_queue else null end) as avg_queue,
max(avg_queue) as peak_avg_queue,
sum(avg_queue) as total_avg_queue,
avg(case when peak_queue > 0 then peak_queue else null end) as avg_peak_queue,
max(peak_queue) as peak_queue,
sum(peak_queue) as total_peak_queue,
avg(case when avg_read_latency_ms > 0 then avg_read_latency_ms else null end) as avg_read_latency_ms,
max(avg_read_latency_ms) as peak_avg_read_latency_ms,
avg(case when peak_read_latency_ms > 0 then peak_read_latency_ms else null end) as avg_peak_read_latency_ms,
max(peak_read_latency_ms) as peak_read_latency_ms,
avg(case when avg_write_latency_ms > 0 then avg_write_latency_ms else null end) as avg_write_latency_ms,
max(avg_write_latency_ms) as peak_avg_write_latency_ms,
avg(case when peak_write_latency_ms > 0 then peak_write_latency_ms else null end) as avg_peak_write_latency_ms,
max(peak_write_latency_ms) as peak_write_latency_ms,
avg(avg_disk_utilization_percent) as avg_disk_utilization_percent,
avg(peak_disk_utilization_percent) as avg_peak_disk_utilization_percent,
avg(avg_disk_response_time_ms) as avg_disk_response_time_ms,
avg(peak_disk_response_time_ms) as avg_peak_disk_response_time_ms,
avg(dcid_seconds) as dcid_seconds
from (
-- This is at the node_id, start_date, end_date, disk_name level
select
s.node_id,
s.start_date,
s.end_date,
s.disk_id,
s.name,
s.device,
cast(s.details->'label' as text) as disk_label,
s.vdisk_datastoreid as datastore_id,
-- case when ds.name not ilike 'Unknown' then ds.name else '' end as datastore_name,
case when ds.name not ilike 'Unknown' then ds.name else null end as datastore_name,
1 as disk_count,
s.read_avg as avg_read_iops,
s.read_peak as peak_read_iops,
s.write_avg as avg_write_iops,
s.write_peak as peak_write_iops,
(s.read_avg * s.dcid_seconds) as avg_read_io_count,
(s.write_avg * s.dcid_seconds) as avg_write_io_count,
(s.read_io_avg * 1024 * s.dcid_seconds) as avg_read_io_bytes,
(s.write_io_avg * 1024 * s.dcid_seconds) as avg_write_io_bytes,
(s.read_io_avg * 1024) as avg_read_rate_bytesps,
(s.write_io_avg * 1024) as avg_write_rate_bytesps,
s.avg_used as avg_disk_used_kb,
s.size as avg_disk_alloc_kb,
s.queue_avg as avg_queue,
s.queue_peak as peak_queue,
cast(s.details->'readLatencyAverage' as numeric) as avg_read_latency_ms,
cast(s.details->'readLatencyPeak' as numeric) as peak_read_latency_ms,
cast(s.details->'writeLatencyAverage' as numeric) as avg_write_latency_ms,
cast(s.details->'writeLatencyPeak' as numeric) as peak_write_latency_ms,
cast(s.details->'utilizationPercentMin' as numeric) as min_disk_utilization_percent,
cast(s.details->'utilizationPercentAverage' as numeric) as avg_disk_utilization_percent,
cast(s.details->'utilizationPercentPeak' as numeric) as peak_disk_utilization_percent,
cast(s.details->'responseTimeMSMin' as numeric) as min_disk_response_time_ms,
cast(s.details->'responseTimeMSAverage' as numeric) as avg_disk_response_time_ms,
cast(s.details->'responseTimeMSPeak' as numeric) as peak_disk_response_time_ms,
s.dcid_seconds
from (
select
s.*,
greatest(extract(epoch from s.end_date - s.start_date), 1) as dcid_seconds
from
tnt_audit.summaryreport_disk_stats s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date::timestamptz at time zone ?) between 1 and 5)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
left outer join tnt_config.datastore ds on (ds.id = s.vdisk_datastoreid and ds.delete_time is null)
) s
group by
s.node_id,
s.start_date,
s.end_date,
s.datastore_id,
s.datastore_name
) pdisk_stats on (
pdisk_stats.node_id = s.node_id
and pdisk_stats.start_date = s.start_date
and pdisk_stats.end_date = s.end_date
) -- summaryreport_disk_stats
-- NIC stats
left outer join (
-- Sum up numbers across nics by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
sum(s.nic_count) as nic_count,
string_agg(distinct (array_to_string(s.ip_addresses,',')), ',' ) as ip_addresses,
sum(s.total_send_bytes) as total_send_bytes,
sum(s.total_send_bytes) / avg(s.ncid_seconds) as avg_send_bytesps,
sum(s.peak_send_bytesps) as peak_send_bytesps,
sum(s.total_receive_bytes) as total_receive_bytes,
sum(s.total_receive_bytes) / avg(s.ncid_seconds) as avg_receive_bytesps,
sum(s.peak_receive_bytesps) as peak_receive_bytesps,
avg(s.ncid_seconds) as ncid_seconds
from (
-- This is at the node_id, start_date, end_date, nic name level
select
s.node_id,
s.start_date,
s.end_date,
s.name,
1 as nic_count,
case when s.addresses is null then array['0.0.0.0/32'::inet] else s.addresses end as ip_addresses,
(send_total * 1024) as total_send_bytes,
(send_peak * 1024) as peak_send_bytesps,
(receive_total * 1024) as total_receive_bytes,
(receive_peak * 1024) as peak_receive_bytesps,
greatest(extract(epoch from s.end_date - s.start_date), 1) as ncid_seconds
from
tnt_audit.summaryreport_nic_stats s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date::timestamptz at time zone ?) between 1 and 5)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
and (s.speed > 0)
) s
group by
s.node_id,
s.start_date,
s.end_date
) nic_stats on (
nic_stats.node_id = s.node_id
and nic_stats.start_date = s.start_date
and nic_stats.end_date = s.end_date
) -- summaryreport_nic_stats
) s_t2 on (true)
-- Process stats
left join lateral (
-- Filename: UX.App.ProcessStats.CIDLevel.v3.sql
select
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- count(distinct pr_stats.user_id) as user_count,
-- -- array_to_string(pr_stats.user_ids, ',') as user_count,
-- -- pr_stats.session_id,
-- -- count(distinct pr_stats.session_id) as session_count,
-- -- array_length(pr_stats.session_ids, 1) as session_count,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name,
count(distinct pr_stats.desk_app_id) as desk_app_id_count,
count(distinct pr_stats.desk_app_name) as desk_app_name_count,
count(distinct pr_stats.desk_app_process_name) as desk_app_process_name_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_id end) as desk_app_id_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_name end) as desk_app_name_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_fg_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_id end) as desk_app_id_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_name end) as desk_app_name_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_anr_count,
-- -- pr_stats.owner_id,
-- -- array_length(pr_stats.owner_ids, 1) as desk_app_process_owner_id_count,
-- -- pr_stats.desk_app_process_owner_name,
-- -- array_length(pr_stats.desk_app_process_owner_names, 1) as desk_app_process_owner_name_count,
-- UX Metrics & stats
min(pr_stats.min_launch_delay_ms)/1000.0 as min_launch_delay_s,
avg(pr_stats.avg_launch_delay_ms)/1000.0 as avg_launch_delay_s,
max(pr_stats.avg_launch_delay_ms)/1000.0 as peak_avg_launch_delay_s,
avg(pr_stats.peak_launch_delay_ms)/1000.0 as avg_peak_launch_delay_s,
max(pr_stats.peak_launch_delay_ms)/1000.0 as peak_launch_delay_s,
sum(pr_stats.total_anr) as total_anr,
sum(pr_stats.total_fg_time_sec) as total_fg_time_sec,
-- avg(pr_stats.avg_cpu_percent) as avg_cpu_percent,
-- avg(pr_stats.avg_cpu_mhz) as avg_cpu_mhz,
-- -- avg(pr_stats.avg_ram_used_percent) as avg_ram_used_percent,
-- avg(avg_ram_used_mb) as avg_ram_used_mb,
-- avg(case when pr_stats.avg_pf > 0 then pr_stats.avg_pf else null end) as avg_pf,
-- avg(case when pr_stats.avg_graph > 0 then pr_stats.avg_graph else null end) as avg_graph,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb) as total_disk_io_kb,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_net_iops,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.secs_active) as avg_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb) as total_net_io_kb,
sum(pr_stats.record_count) as record_count
from (
select
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
count(distinct lstats.user_id) as user_count,
array_agg(distinct lstats.user_id) as user_ids,
-- pr_stats.session_id,
count(distinct pr_stats.session_id) as session_count,
array_agg(distinct pr_stats.session_id) as session_ids,
-- coalesce(cast(lstats.details->'session' as numeric), 0) as l_session_id,
-- pr_stats.pid,
-- count(distinct pr_stats.pid) as pid_count,
-- array_agg(distinct pr_stats.pid) as pids,
pr_stats.desk_app_id,
dapp.name as desk_app_name,
pr_stats.desk_app_process_name,
-- pr_stats.owner_id,
count(distinct pr_stats.owner_id) as owner_count,
array_agg(distinct pr_stats.owner_id) as owner_ids,
-- pr_stats.owner_name as desk_app_process_owner_name,
count(distinct pr_stats.owner_name) as desk_app_process_owner_name_count,
string_agg(distinct pr_stats.owner_name, ',') as desk_app_process_owner_names,
-- max(is_a_service) as is_a_service,
-- string_agg(distinct case
-- when (pn.os_platform = 'Windows' and upper(pr_stats.owner_name) != 'SYSTEM' and upper(pr_stats.owner_name) != 'LOCAL SERVICE' and upper(pr_stats.owner_name) != 'NETWORK SERVICE'
-- and upper(pr_stats.owner_name) IS NOT NULL and upper(pr_stats.owner_name) != 'NONE')
-- then 'User'
-- when (pn.os_platform = 'Windows' and (upper(pr_stats.owner_name) = 'SYSTEM' or upper(pr_stats.owner_name) = 'LOCAL SERVICE' or upper(pr_stats.owner_name) = 'NETWORK SERVICE'))
-- then 'System'
-- else ' '
-- end, ',') as process_user_context,
-- string_agg(distinct pr_stats.type, ',') as process_types,
-- string_agg(distinct pr_stats.category, ',') as process_category,
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- avg(pr_stats.pr_seconds) as avg_pr_seconds,
-- sum(pr_stats.pr_seconds) as total_pr_seconds,
-- UX Metrics & stats
min(pr_stats.launch_delay_ms) as min_launch_delay_ms,
avg(pr_stats.launch_delay_ms) as avg_launch_delay_ms,
max(pr_stats.launch_delay_ms) as peak_launch_delay_ms,
sum(pr_stats.anr) as total_anr,
-- max(pr_stats.desk_app_process_elevated) as desk_app_process_elevated,
sum(pr_stats.fg_time_sec) as total_fg_time_sec,
-- Resource metrics & stats
-- pn.total_cpu_alloc_mhz as total_cpu_alloc_mhz,
-- pn.alloc_mhz as cpu_alloc_mhz,
-- sum(pr_stats.avg_cpu_sys_percent * pr_stats.pr_percent_run) as avg_cpu_sys_percent,
-- least(sum(pr_stats.peak_cpu_sys_percent), 100.0) as peak_cpu_sys_percent,
-- -- max(pr_stats.peak_cpu_sys_percent) as peak_cpu_sys_percent,
-- sum(pr_stats.avg_cpu_user_percent * pr_stats.pr_percent_run) as avg_cpu_user_percent,
-- least(sum(pr_stats.peak_cpu_user_percent), 100.0) as peak_cpu_user_percent,
-- -- max(pr_stats.peak_cpu_user_percent) as peak_cpu_user_percent,
sum(pr_stats.avg_cpu_percent * pr_stats.pr_percent_run) as avg_cpu_percent,
-- least(sum(pr_stats.peak_cpu_percent), 100.0) as peak_cpu_percent,
-- -- max(pr_stats.peak_cpu_percent) as peak_cpu_percent,
-- sum(((pr_stats.avg_cpu_sys_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_sys_mhz,
-- least(sum((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_sys_mhz,
-- -- max((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0) as peak_cpu_sys_mhz,
-- sum(((pr_stats.avg_cpu_user_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_user_mhz,
-- least(sum((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_user_mhz,
-- -- max((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0) as peak_cpu_user_mhz,
sum(pr_stats.avg_cpu_mhz * pr_stats.pr_percent_run) as avg_cpu_mhz,
-- least(sum((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_mhz,
-- -- max((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0) as peak_cpu_mhz,
-- sum(pr_stats.cpu_time_ms) as total_cpu_time_ms,
-- sumrpt.mem_alloc as ram_alloc_kb,
-- sum(case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end) as avg_ram_used_percent,
-- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
sum(pr_stats.avg_ram_used_kb * pr_stats.pr_percent_run)/1024 as avg_ram_used_mb,
-- -- sum(pr_stats.avg_ram_used_kb)/1024 as avg_ram_used_mb,
-- max(pr_stats.peak_ram_used_kb)/1024 as peak_ram_used_mb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
sum(pr_stats.avg_pf * pr_stats.pr_percent_run) as avg_pf,
-- sum(pr_stats.avg_pf) as avg_pf,
-- sum(pr_stats.avg_handles * pr_stats.pr_percent_run) as avg_handles,
-- sum(pr_stats.avg_handles) as avg_handles,
-- sum(pr_stats.avg_threads * pr_stats.pr_percent_run) as avg_threads,
-- sum(pr_stats.avg_threads) as avg_threads,
sum(pr_stats.avg_graph * pr_stats.pr_percent_run) as avg_graph,
-- sum(pr_stats.peak_graph) as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
sum(pr_stats.avg_disk_io_count * pr_stats.pr_percent_run) as avg_disk_io_count,
sum((pr_stats.avg_disk_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.pcid_seconds) as avg_disk_iops2,
-- sum(pr_stats.avg_disk_iops * pr_stats.pr_percent_run) as avg_disk_iops3,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
sum(pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run) as avg_disk_io_kb,
sum((pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_rate_kbps * pr_stats.pr_percent_run) as avg_disk_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops,
sum(pr_stats.avg_net_io_count) as avg_net_io_count,
sum((pr_stats.avg_net_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_iops * pr_stats.pr_percent_run) as avg_net_iops,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
sum(pr_stats.avg_net_io_kb * pr_stats.pr_percent_run) as avg_net_io_kb,
sum((pr_stats.avg_net_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_io_rate_kbps,
-- sum(pr_stats.fg_time_sec) as fg_time_sec,
-- case
-- when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
-- then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
-- else null
-- end as fg_time_sec,
-- justify_interval(case when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
-- then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
-- else null
-- end * '1 second'::interval) as fg_duration,
-- psnd.sendkbtotal,
-- psnd.receivekbtotal,
-- psnd.pinglatencymsavg,
-- psnd.jitteravg,
-- extract(epoch from greatest(least(?, pr_stats.end_date, pr_stats.pr_end_time) - greatest(?, pr_stats.start_date, pr_stats.pr_start_time), 0 * '1 second'::interval)) adj_pr_seconds,
-- greatest(least(?, pr_stats.end_date, pr_stats.pr_end_time) - greatest(?, pr_stats.start_date, pr_stats.pr_start_time), 0 * '1 second'::interval) adj_pr_duration
-- extract(epoch from (greatest(least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date), 0 * '1 second'::interval))) as cid_seconds,
-- extract(epoch from (?::timestamp - ?::timestamp)) as total_report_sec,
avg(pr_stats.secs_active) as secs_active,
avg(pr_stats.pcid_seconds) as pcid_seconds,
count(*) as record_count
from (
select
pr_stats.node_id,
pn.machine_name,
pn.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
pr_stats.desk_app_id,
split_part(lower(pr_stats.name), '#', 1) as desk_app_process_name,
-- pr_stats.pid,
pr_stats.owner_id,
lower(pr_stats.owner_name) as owner_name,
coalesce(cast(pr_stats.details->'session' as numeric), 0) as session_id,
case when array_length(pr_stats.service_ids, 1) > 0 then 1 else 0 end as is_a_service,
-- Commenting the next few lines out for updates related to rollups/details and using secs_active instead of pr_start_time and pr_end_time.
-- See below for new lines using secs_active and pr_percent_run columns
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- case
-- when extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)) > 0
-- then greatest(extract(epoch from least(?, pr_stats.end_date, pr_stats.pr_end_time) - greatest(?, pr_stats.start_date, pr_stats.pr_start_time)), 0) /
-- extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date))
-- else 0
-- end as pr_percent_run,
-- greatest(extract(epoch from least(?, pr_stats.end_date, coalesce(pr_stats.pr_end_time, pr_stats.end_date)) - greatest(?, pr_stats.start_date, pr_stats.pr_start_time)), 0) as pr_seconds,
-- extract(epoch from pr_stats.end_date - pr_stats.start_date) as cid_seconds,
-- Metrics & stats
(case when pr_stats.first_record is true then pr_stats.launch_delay_ms else null end) as launch_delay_ms,
(case when pr_stats.non_responsive = 't' then 1 else 0 end) as anr,
(case when pr_stats.anr_count > 0 then pr_stats.anr_count else null end) as anr_count,
(case when cast(pr_stats.details->'elevated' as boolean) is true then 1 else 0 end) as desk_app_process_elevated,
-- (case when pr_stats.elevated is true then 1 else 0 end) as desk_app_process_elevated,
case
when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
else null
end as fg_time_sec,
-- justify_interval(case when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
-- then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
-- else null
-- end * '1 second'::interval) as fg_duration,
-- least(coalesce(pr_stats.cpu_avg_sys, 0), 100.0) as avg_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0), 100.0) as peak_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_user_percent,
-- least(coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_user_percent,
least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_percent,
(least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) * pn.alloc_mhz)/100.0 as avg_cpu_mhz,
-- (least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) * pn.alloc_mhz)/100.0 as peak_cpu_mhz,
-- (pr_stats.cpu_total_sys + pr_stats.cpu_total_user) as cpu_time_ms,
-- -- sumrpt.mem_alloc as ram_alloc_kb,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end as avg_ram_used_percent,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
pr_stats.mem_avg as avg_ram_used_kb,
-- pr_stats.mem_peak as peak_ram_used_kb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
pr_stats.pf_avg as avg_pf,
-- cast(pr_stats.details->'elevated' as boolean) as desk_app_process_elevated_bool,
cast(pr_stats.details->'handleAverage' as numeric) as avg_handles,
cast(pr_stats.details->'threadAverage' as numeric) as avg_threads,
pr_stats.graph_avg as avg_graph,
-- pr_stats.graph_peak as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
(coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0)) * pr_stats.secs_active as avg_disk_io_count,
coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0) as avg_disk_iops,
-- coalesce(pr_stats.read_iops_peak, 0) + coalesce(pr_stats.write_iops_peak, 0) as peak_disk_iops,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) * pr_stats.secs_active as avg_disk_io_kb,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) as avg_disk_io_rate_kbps,
-- (coalesce(pr_stats.read_io_peak, 0) + coalesce(pr_stats.write_io_peak, 0)) * 1024 as peak_disk_io_rate_bytesps,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_kb,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) as avg_net_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops
(coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_count,
coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0) as avg_net_iops,
-- Not available in rollup
-- pr_stats.type,
-- pr_stats.category,
greatest(pr_stats.secs_active, 1) / greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pr_percent_run,
greatest(pr_stats.secs_active, 1)::int as secs_active,
greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pcid_seconds
from
tnt_audit.summaryreport_process_stats pr_stats
-- Join to policynode, node, and os to get relevant information
-- Todo: use a with clause to pull this only once
join (
select
pn.id as node_id,
pn.name as machine_name,
nde.fqmn as machine_fqmn,
nde.os_id,
os.name as os_platform,
nde.ihostversion,
case when nde.vmtype is null then 0 else 1 end as is_vm,
nde.vmtype,
count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_count,
avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_cores,
avg(nhcpu.logical_cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_v_cores,
avg(nhcpu.speed_mhz) as avg_cpu_alloc_mhz,
-- avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
-- case when os.name = 'Windows'
-- -- then avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- then avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- else avg(nhcpu.speed_mhz)
-- end as alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as alloc_mhz
-- count(distinct nhdisp.hardware_id || '-' || nhdisp.id) as total_monitor_count
from
tnt_config.policynode pn
join tnt_config.node nde on (nde.id = pn.id and nde.delete_time is null)
join tnt_config.node_hardware_cpus nhcpu on (nhcpu.hardware_id = nde.hardware_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.node_hardware_displays nhdisp on (nhdisp.hardware_id = nde.hardware_id)
where
pn.delete_time is null
and pn.type <= 2
-- and pn.name ilike 'desktop-c65gr6p'
group by
pn.id,
nde.id,
os.id
) pn on (pn.node_id = pr_stats.node_id)
where
-- Process Date filter
(pr_stats.end_date between ? and ?)
-- Business week or work week
and (extract(dow from pr_stats.end_date::timestamptz at time zone ?) between 1 and 5)
-- Process Machine group filer
and ('%' = ? or pr_stats.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
-- and pr_stats.node_id = 17586 -- desktop-c65gr6p on devhub
-- and pr_stats.node_id = 17583 -- atl-l1582 on devhub
-- and (pr_stats.name ilike 'chrome')
-- and (pr_stats.name ilike 'camtasiastudio%')
-- and (pr_stats.name ilike 'svchost%')
-- order by
-- pr_stats.end_date asc
) pr_stats
join tnt_config.desktop_app dapp on (dapp.id = pr_stats.desk_app_id) -- and dapp.name ilike 'FileZilla 3.65%')
left outer join tnt_audit.summaryreport_login_stats lstats on (
lstats.node_id = pr_stats.node_id
and lstats.start_date = pr_stats.start_date
and lstats.end_date = pr_stats.end_date
-- and cast(lstats.details->'session' as numeric) = cast(pr_stats.details->'session' as numeric)
and cast(lstats.details->'session' as numeric) = pr_stats.session_id
and (lstats.start_date between ? and ? or
lstats.end_date between ? and ?)
)
left outer join tnt_config.policyidentity pi on (pi.id = lstats.user_id and pi.delete_time is null and pi.type = 1)
-- -- Process Stats Network Details (not required for this)
-- left join (
-- select
-- psnd.node_id,
-- psnd.start_date,
-- psnd.end_date,
-- psnd.desk_app_id,
-- split_part(lower(psnd.name), '#', 1) as name,
-- -- psnd.pid,
-- psnd.owner_id,
-- lower(psnd.owner_name) as owner_name,
-- sum(psnd.sendkbtotal) as sendkbtotal,
-- sum(psnd.receivekbtotal) as receivekbtotal,
-- avg(case when psnd.pinglatencymsavg > 0 then psnd.pinglatencymsavg else null end) as pinglatencymsavg,
-- avg(case when psnd.jitteravg > 0 then psnd.jitteravg else null end) as jitteravg
-- from
-- tnt_audit.summaryreport_process_stats_network_details psnd
-- where
-- (psnd.end_date between ? and ?)
-- -- Process Machine group filer
-- and ('%' = ? or psnd.node_id in
-- (select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
-- where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
-- -- and psnd.node_id = 17586
-- group by
-- psnd.node_id,
-- psnd.start_date,
-- psnd.end_date,
-- psnd.desk_app_id,
-- split_part(lower(psnd.name), '#', 1),
-- -- psnd.pid,
-- psnd.owner_id,
-- lower(psnd.owner_name)
-- -- order by
-- -- node_id,
-- -- end_date
-- ) psnd on (
-- psnd.node_id = pr_stats.node_id
-- and psnd.start_date = pr_stats.start_date
-- and psnd.end_date = pr_stats.end_date
-- and (psnd.end_date between ? and ?)
-- -- and (psnd.pid = pr_stats.pid)
-- and (psnd.owner_id = pr_stats.owner_id)
-- -- and (lower(psnd.owner_name) = lower(pr_stats.desk_app_process_owner_name))
-- and (lower(psnd.owner_name) = lower(pr_stats.owner_name))
-- and (psnd.desk_app_id = pr_stats.desk_app_id)
-- -- and (lower(psnd.name) = lower(pr_stats.name))
-- and (lower(psnd.name) = pr_stats.desk_app_process_name)
-- )
where
-- Summary User Group filter
('%' = ? or lstats.user_id is null or lstats.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name ilike ?)))
group by
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
-- pr_stats.session_id,
pr_stats.desk_app_id,
dapp.id,
pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.owner_name
-- order by
-- end_date asc
) pr_stats
-- where
-- pr_stats.node_id = s.node_id
-- group by
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- pr_stats.session_id,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.desk_app_process_owner_name
-- order by
-- avg_cpu_mhz desc
-- limit 5
) pr_stats_t1 on (true)
-- Process stats
left join lateral (
-- Filename: UX.App.ProcessStats.CIDLevel.v3.sql
select
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- count(distinct pr_stats.user_id) as user_count,
-- -- array_to_string(pr_stats.user_ids, ',') as user_count,
-- -- pr_stats.session_id,
-- -- count(distinct pr_stats.session_id) as session_count,
-- -- array_length(pr_stats.session_ids, 1) as session_count,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name,
count(distinct pr_stats.desk_app_id) as desk_app_id_count,
count(distinct pr_stats.desk_app_name) as desk_app_name_count,
count(distinct pr_stats.desk_app_process_name) as desk_app_process_name_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_id end) as desk_app_id_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_name end) as desk_app_name_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_fg_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_id end) as desk_app_id_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_name end) as desk_app_name_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_anr_count,
-- -- pr_stats.owner_id,
-- -- array_length(pr_stats.owner_ids, 1) as desk_app_process_owner_id_count,
-- -- pr_stats.desk_app_process_owner_name,
-- -- array_length(pr_stats.desk_app_process_owner_names, 1) as desk_app_process_owner_name_count,
-- UX Metrics & stats
min(pr_stats.min_launch_delay_ms)/1000.0 as min_launch_delay_s,
avg(pr_stats.avg_launch_delay_ms)/1000.0 as avg_launch_delay_s,
max(pr_stats.avg_launch_delay_ms)/1000.0 as peak_avg_launch_delay_s,
avg(pr_stats.peak_launch_delay_ms)/1000.0 as avg_peak_launch_delay_s,
max(pr_stats.peak_launch_delay_ms)/1000.0 as peak_launch_delay_s,
sum(pr_stats.total_anr) as total_anr,
sum(pr_stats.total_fg_time_sec) as total_fg_time_sec,
-- avg(pr_stats.avg_cpu_percent) as avg_cpu_percent,
-- avg(pr_stats.avg_cpu_mhz) as avg_cpu_mhz,
-- -- avg(pr_stats.avg_ram_used_percent) as avg_ram_used_percent,
-- avg(avg_ram_used_mb) as avg_ram_used_mb,
-- avg(case when pr_stats.avg_pf > 0 then pr_stats.avg_pf else null end) as avg_pf,
-- avg(case when pr_stats.avg_graph > 0 then pr_stats.avg_graph else null end) as avg_graph,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb) as total_disk_io_kb,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_net_iops,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.secs_active) as avg_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb) as total_net_io_kb,
sum(pr_stats.record_count) as record_count
from (
select
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
count(distinct lstats.user_id) as user_count,
array_agg(distinct lstats.user_id) as user_ids,
-- pr_stats.session_id,
count(distinct pr_stats.session_id) as session_count,
array_agg(distinct pr_stats.session_id) as session_ids,
-- coalesce(cast(lstats.details->'session' as numeric), 0) as l_session_id,
-- pr_stats.pid,
-- count(distinct pr_stats.pid) as pid_count,
-- array_agg(distinct pr_stats.pid) as pids,
pr_stats.desk_app_id,
dapp.name as desk_app_name,
pr_stats.desk_app_process_name,
-- pr_stats.owner_id,
count(distinct pr_stats.owner_id) as owner_count,
array_agg(distinct pr_stats.owner_id) as owner_ids,
-- pr_stats.owner_name as desk_app_process_owner_name,
count(distinct pr_stats.owner_name) as desk_app_process_owner_name_count,
string_agg(distinct pr_stats.owner_name, ',') as desk_app_process_owner_names,
-- max(is_a_service) as is_a_service,
-- string_agg(distinct case
-- when (pn.os_platform = 'Windows' and upper(pr_stats.owner_name) != 'SYSTEM' and upper(pr_stats.owner_name) != 'LOCAL SERVICE' and upper(pr_stats.owner_name) != 'NETWORK SERVICE'
-- and upper(pr_stats.owner_name) IS NOT NULL and upper(pr_stats.owner_name) != 'NONE')
-- then 'User'
-- when (pn.os_platform = 'Windows' and (upper(pr_stats.owner_name) = 'SYSTEM' or upper(pr_stats.owner_name) = 'LOCAL SERVICE' or upper(pr_stats.owner_name) = 'NETWORK SERVICE'))
-- then 'System'
-- else ' '
-- end, ',') as process_user_context,
-- string_agg(distinct pr_stats.type, ',') as process_types,
-- string_agg(distinct pr_stats.category, ',') as process_category,
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- avg(pr_stats.pr_seconds) as avg_pr_seconds,
-- sum(pr_stats.pr_seconds) as total_pr_seconds,
-- UX Metrics & stats
min(pr_stats.launch_delay_ms) as min_launch_delay_ms,
avg(pr_stats.launch_delay_ms) as avg_launch_delay_ms,
max(pr_stats.launch_delay_ms) as peak_launch_delay_ms,
sum(pr_stats.anr) as total_anr,
-- max(pr_stats.desk_app_process_elevated) as desk_app_process_elevated,
sum(pr_stats.fg_time_sec) as total_fg_time_sec,
-- Resource metrics & stats
-- pn.total_cpu_alloc_mhz as total_cpu_alloc_mhz,
-- pn.alloc_mhz as cpu_alloc_mhz,
-- sum(pr_stats.avg_cpu_sys_percent * pr_stats.pr_percent_run) as avg_cpu_sys_percent,
-- least(sum(pr_stats.peak_cpu_sys_percent), 100.0) as peak_cpu_sys_percent,
-- -- max(pr_stats.peak_cpu_sys_percent) as peak_cpu_sys_percent,
-- sum(pr_stats.avg_cpu_user_percent * pr_stats.pr_percent_run) as avg_cpu_user_percent,
-- least(sum(pr_stats.peak_cpu_user_percent), 100.0) as peak_cpu_user_percent,
-- -- max(pr_stats.peak_cpu_user_percent) as peak_cpu_user_percent,
sum(pr_stats.avg_cpu_percent * pr_stats.pr_percent_run) as avg_cpu_percent,
-- least(sum(pr_stats.peak_cpu_percent), 100.0) as peak_cpu_percent,
-- -- max(pr_stats.peak_cpu_percent) as peak_cpu_percent,
-- sum(((pr_stats.avg_cpu_sys_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_sys_mhz,
-- least(sum((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_sys_mhz,
-- -- max((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0) as peak_cpu_sys_mhz,
-- sum(((pr_stats.avg_cpu_user_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_user_mhz,
-- least(sum((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_user_mhz,
-- -- max((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0) as peak_cpu_user_mhz,
sum(pr_stats.avg_cpu_mhz * pr_stats.pr_percent_run) as avg_cpu_mhz,
-- least(sum((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_mhz,
-- -- max((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0) as peak_cpu_mhz,
-- sum(pr_stats.cpu_time_ms) as total_cpu_time_ms,
-- sumrpt.mem_alloc as ram_alloc_kb,
-- sum(case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end) as avg_ram_used_percent,
-- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
sum(pr_stats.avg_ram_used_kb * pr_stats.pr_percent_run)/1024 as avg_ram_used_mb,
-- -- sum(pr_stats.avg_ram_used_kb)/1024 as avg_ram_used_mb,
-- max(pr_stats.peak_ram_used_kb)/1024 as peak_ram_used_mb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
sum(pr_stats.avg_pf * pr_stats.pr_percent_run) as avg_pf,
-- sum(pr_stats.avg_pf) as avg_pf,
-- sum(pr_stats.avg_handles * pr_stats.pr_percent_run) as avg_handles,
-- sum(pr_stats.avg_handles) as avg_handles,
-- sum(pr_stats.avg_threads * pr_stats.pr_percent_run) as avg_threads,
-- sum(pr_stats.avg_threads) as avg_threads,
sum(pr_stats.avg_graph * pr_stats.pr_percent_run) as avg_graph,
-- sum(pr_stats.peak_graph) as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
sum(pr_stats.avg_disk_io_count * pr_stats.pr_percent_run) as avg_disk_io_count,
sum((pr_stats.avg_disk_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.pcid_seconds) as avg_disk_iops2,
-- sum(pr_stats.avg_disk_iops * pr_stats.pr_percent_run) as avg_disk_iops3,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
sum(pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run) as avg_disk_io_kb,
sum((pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_rate_kbps * pr_stats.pr_percent_run) as avg_disk_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops,
sum(pr_stats.avg_net_io_count) as avg_net_io_count,
sum((pr_stats.avg_net_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_iops * pr_stats.pr_percent_run) as avg_net_iops,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
sum(pr_stats.avg_net_io_kb * pr_stats.pr_percent_run) as avg_net_io_kb,
sum((pr_stats.avg_net_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_io_rate_kbps,
-- sum(pr_stats.fg_time_sec) as fg_time_sec,
-- case
-- when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
-- then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
-- else null
-- end as fg_time_sec,
-- justify_interval(case when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
-- then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
-- else null
-- end * '1 second'::interval) as fg_duration,
-- psnd.sendkbtotal,
-- psnd.receivekbtotal,
-- psnd.pinglatencymsavg,
-- psnd.jitteravg,
-- extract(epoch from greatest(least(?, pr_stats.end_date, pr_stats.pr_end_time) - greatest(?, pr_stats.start_date, pr_stats.pr_start_time), 0 * '1 second'::interval)) adj_pr_seconds,
-- greatest(least(?, pr_stats.end_date, pr_stats.pr_end_time) - greatest(?, pr_stats.start_date, pr_stats.pr_start_time), 0 * '1 second'::interval) adj_pr_duration
-- extract(epoch from (greatest(least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date), 0 * '1 second'::interval))) as cid_seconds,
-- extract(epoch from (?::timestamp - ?::timestamp)) as total_report_sec,
avg(pr_stats.secs_active) as secs_active,
avg(pr_stats.pcid_seconds) as pcid_seconds,
count(*) as record_count
from (
select
pr_stats.node_id,
pn.machine_name,
pn.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
pr_stats.desk_app_id,
split_part(lower(pr_stats.name), '#', 1) as desk_app_process_name,
-- pr_stats.pid,
pr_stats.owner_id,
lower(pr_stats.owner_name) as owner_name,
coalesce(cast(pr_stats.details->'session' as numeric), 0) as session_id,
case when array_length(pr_stats.service_ids, 1) > 0 then 1 else 0 end as is_a_service,
-- Commenting the next few lines out for updates related to rollups/details and using secs_active instead of pr_start_time and pr_end_time.
-- See below for new lines using secs_active and pr_percent_run columns
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- case
-- when extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)) > 0
-- then greatest(extract(epoch from least(?, pr_stats.end_date, pr_stats.pr_end_time) - greatest(?, pr_stats.start_date, pr_stats.pr_start_time)), 0) /
-- extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date))
-- else 0
-- end as pr_percent_run,
-- greatest(extract(epoch from least(?, pr_stats.end_date, coalesce(pr_stats.pr_end_time, pr_stats.end_date)) - greatest(?, pr_stats.start_date, pr_stats.pr_start_time)), 0) as pr_seconds,
-- extract(epoch from pr_stats.end_date - pr_stats.start_date) as cid_seconds,
-- Metrics & stats
(case when pr_stats.first_record is true then pr_stats.launch_delay_ms else null end) as launch_delay_ms,
(case when pr_stats.non_responsive = 't' then 1 else 0 end) as anr,
(case when pr_stats.anr_count > 0 then pr_stats.anr_count else null end) as anr_count,
(case when cast(pr_stats.details->'elevated' as boolean) is true then 1 else 0 end) as desk_app_process_elevated,
-- (case when pr_stats.elevated is true then 1 else 0 end) as desk_app_process_elevated,
case
when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
else null
end as fg_time_sec,
-- justify_interval(case when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
-- then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
-- else null
-- end * '1 second'::interval) as fg_duration,
-- least(coalesce(pr_stats.cpu_avg_sys, 0), 100.0) as avg_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0), 100.0) as peak_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_user_percent,
-- least(coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_user_percent,
least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_percent,
(least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) * pn.alloc_mhz)/100.0 as avg_cpu_mhz,
-- (least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) * pn.alloc_mhz)/100.0 as peak_cpu_mhz,
-- (pr_stats.cpu_total_sys + pr_stats.cpu_total_user) as cpu_time_ms,
-- -- sumrpt.mem_alloc as ram_alloc_kb,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end as avg_ram_used_percent,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
pr_stats.mem_avg as avg_ram_used_kb,
-- pr_stats.mem_peak as peak_ram_used_kb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
pr_stats.pf_avg as avg_pf,
-- cast(pr_stats.details->'elevated' as boolean) as desk_app_process_elevated_bool,
cast(pr_stats.details->'handleAverage' as numeric) as avg_handles,
cast(pr_stats.details->'threadAverage' as numeric) as avg_threads,
pr_stats.graph_avg as avg_graph,
-- pr_stats.graph_peak as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
(coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0)) * pr_stats.secs_active as avg_disk_io_count,
coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0) as avg_disk_iops,
-- coalesce(pr_stats.read_iops_peak, 0) + coalesce(pr_stats.write_iops_peak, 0) as peak_disk_iops,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) * pr_stats.secs_active as avg_disk_io_kb,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) as avg_disk_io_rate_kbps,
-- (coalesce(pr_stats.read_io_peak, 0) + coalesce(pr_stats.write_io_peak, 0)) * 1024 as peak_disk_io_rate_bytesps,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_kb,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) as avg_net_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops
(coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_count,
coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0) as avg_net_iops,
-- Not available in rollup
-- pr_stats.type,
-- pr_stats.category,
greatest(pr_stats.secs_active, 1) / greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pr_percent_run,
greatest(pr_stats.secs_active, 1)::int as secs_active,
greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pcid_seconds
from
tnt_audit.summaryreport_process_stats pr_stats
-- Join to policynode, node, and os to get relevant information
-- Todo: use a with clause to pull this only once
join (
select
pn.id as node_id,
pn.name as machine_name,
nde.fqmn as machine_fqmn,
nde.os_id,
os.name as os_platform,
nde.ihostversion,
case when nde.vmtype is null then 0 else 1 end as is_vm,
nde.vmtype,
count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_count,
avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_cores,
avg(nhcpu.logical_cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_v_cores,
avg(nhcpu.speed_mhz) as avg_cpu_alloc_mhz,
-- avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
-- case when os.name = 'Windows'
-- -- then avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- then avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- else avg(nhcpu.speed_mhz)
-- end as alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as alloc_mhz
-- count(distinct nhdisp.hardware_id || '-' || nhdisp.id) as total_monitor_count
from
tnt_config.policynode pn
join tnt_config.node nde on (nde.id = pn.id and nde.delete_time is null)
join tnt_config.node_hardware_cpus nhcpu on (nhcpu.hardware_id = nde.hardware_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.node_hardware_displays nhdisp on (nhdisp.hardware_id = nde.hardware_id)
where
pn.delete_time is null
and pn.type <= 2
-- and pn.name ilike 'desktop-c65gr6p'
group by
pn.id,
nde.id,
os.id
) pn on (pn.node_id = pr_stats.node_id)
where
-- Process Date filter
(pr_stats.end_date between ? and ?)
-- Business week or work week
and (extract(dow from pr_stats.end_date::timestamptz at time zone ?) between 1 and 5)
-- Process Machine group filer
and ('%' = ? or pr_stats.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
-- and pr_stats.node_id = 17586 -- desktop-c65gr6p on devhub
-- and pr_stats.node_id = 17583 -- atl-l1582 on devhub
-- and (pr_stats.name ilike 'chrome')
-- and (pr_stats.name ilike 'camtasiastudio%')
-- and (pr_stats.name ilike 'svchost%')
-- order by
-- pr_stats.end_date asc
) pr_stats
join tnt_config.desktop_app dapp on (dapp.id = pr_stats.desk_app_id) -- and dapp.name ilike 'FileZilla 3.65%')
left outer join tnt_audit.summaryreport_login_stats lstats on (
lstats.node_id = pr_stats.node_id
and lstats.start_date = pr_stats.start_date
and lstats.end_date = pr_stats.end_date
-- and cast(lstats.details->'session' as numeric) = cast(pr_stats.details->'session' as numeric)
and cast(lstats.details->'session' as numeric) = pr_stats.session_id
and (lstats.start_date between ? and ? or
lstats.end_date between ? and ?)
)
left outer join tnt_config.policyidentity pi on (pi.id = lstats.user_id and pi.delete_time is null and pi.type = 1)
-- -- Process Stats Network Details (not required for this)
-- left join (
-- select
-- psnd.node_id,
-- psnd.start_date,
-- psnd.end_date,
-- psnd.desk_app_id,
-- split_part(lower(psnd.name), '#', 1) as name,
-- -- psnd.pid,
-- psnd.owner_id,
-- lower(psnd.owner_name) as owner_name,
-- sum(psnd.sendkbtotal) as sendkbtotal,
-- sum(psnd.receivekbtotal) as receivekbtotal,
-- avg(case when psnd.pinglatencymsavg > 0 then psnd.pinglatencymsavg else null end) as pinglatencymsavg,
-- avg(case when psnd.jitteravg > 0 then psnd.jitteravg else null end) as jitteravg
-- from
-- tnt_audit.summaryreport_process_stats_network_details psnd
-- where
-- (psnd.end_date between ? and ?)
-- -- Process Machine group filer
-- and ('%' = ? or psnd.node_id in
-- (select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
-- where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
-- -- and psnd.node_id = 17586
-- group by
-- psnd.node_id,
-- psnd.start_date,
-- psnd.end_date,
-- psnd.desk_app_id,
-- split_part(lower(psnd.name), '#', 1),
-- -- psnd.pid,
-- psnd.owner_id,
-- lower(psnd.owner_name)
-- -- order by
-- -- node_id,
-- -- end_date
-- ) psnd on (
-- psnd.node_id = pr_stats.node_id
-- and psnd.start_date = pr_stats.start_date
-- and psnd.end_date = pr_stats.end_date
-- and (psnd.end_date between ? and ?)
-- -- and (psnd.pid = pr_stats.pid)
-- and (psnd.owner_id = pr_stats.owner_id)
-- -- and (lower(psnd.owner_name) = lower(pr_stats.desk_app_process_owner_name))
-- and (lower(psnd.owner_name) = lower(pr_stats.owner_name))
-- and (psnd.desk_app_id = pr_stats.desk_app_id)
-- -- and (lower(psnd.name) = lower(pr_stats.name))
-- and (lower(psnd.name) = pr_stats.desk_app_process_name)
-- )
where
-- Summary User Group filter
('%' = ? or lstats.user_id is null or lstats.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name ilike ?)))
group by
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
-- pr_stats.session_id,
pr_stats.desk_app_id,
dapp.id,
pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.owner_name
-- order by
-- end_date asc
) pr_stats
-- where
-- pr_stats.node_id = s.node_id
-- group by
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- pr_stats.session_id,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.desk_app_process_owner_name
-- order by
-- avg_cpu_mhz desc
-- limit 5
) pr_stats_t2 on (true)
left outer join (
select
(case when license.machine_license_count > 0 then 'License' else 'Registered' end) as machine_label,
max(pn.machine_registered_count) as machine_registered_count,
max(case when license.machine_license_count > 0 then license.machine_license_count end) as machine_license_count,
max(case when license.machine_license_count > 0 then license.machine_license_count else pn.machine_registered_count end) as machine_total_count,
(case when license.user_license_count > 0 then 'License' else 'Registered' end) as user_label,
max(pi.user_registered_count) as user_registered_count,
max(case when license.user_license_count > 0 then license.user_license_count end) as user_license_count,
max(case when license.user_license_count > 0 then license.user_license_count else pi.user_registered_count end) as user_total_count
from (
select
count(distinct pn.id) as machine_registered_count
from
tnt_config.policynode pn
join tnt_config.node nde on (nde.id = pn.id and nde.delete_time is null and nde.ihostversion is not null)
where
pn.delete_time is null
and pn.type <= 2
) pn
left outer join (
select
count(distinct pi.id) as user_registered_count
from
tnt_config.policyidentity pi
join tnt_config.identity id on (id.id = pi.id and id.last_login_time is not null)
where
pi.delete_time is null
and pi.type = 1
) pi on (true)
left outer join (
select
(xpath('/license/maxNodes/text()', license_xml))[1]::text::int as machine_license_count,
(xpath('/license/maxUsers/text()', license_xml))[1]::text::int as user_license_count
from (
select
(convert_from(decode(license, 'base64'), 'utf-8'))::xml as license_xml
from
tnt_config.globaloptions
) license
) license on (true)
group by
machine_label,
user_label
) license on (true)
left outer join (
select
count(distinct case when ux.vdi_ux_overall >= 2.75 then ux.node_id end) as machines_ux_good_count,
count(distinct case when ux.vdi_ux_overall >= 1.75 and ux.vdi_ux_overall < 2.75 then ux.node_id end) as machines_ux_fair_count,
count(distinct case when ux.vdi_ux_overall < 1.75 then ux.node_id end) as machines_ux_poor_count
from (
select
s.node_id,
avg(s.vdi_ux_overall) as vdi_ux_overall
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date::timestamptz at time zone ?) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
group by
s.node_id
) ux
) ux_t1 on (true)
left outer join (
select
count(distinct case when ux.vdi_ux_overall >= 2.75 then ux.node_id end) as machines_ux_good_count,
count(distinct case when ux.vdi_ux_overall >= 1.75 and ux.vdi_ux_overall < 2.75 then ux.node_id end) as machines_ux_fair_count,
count(distinct case when ux.vdi_ux_overall < 1.75 then ux.node_id end) as machines_ux_poor_count
from (
select
s.node_id,
avg(s.vdi_ux_overall) as vdi_ux_overall
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date::timestamptz at time zone ?) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
group by
s.node_id
) ux
) ux_t2 on (true)
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convertVDIUXScoreToLabelString(dataSetRow["avg_ux_score_t1"]);stringavg_ux_rating_t2//convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t2"], 2));
convertVDIUXScoreToLabelString(dataSetRow["avg_ux_score_t2"]);stringuser_count_t1measureuser_count_t1user_count_t1user_count_t2measureuser_count_t2user_count_t2machine_count_t1measuremachine_count_t1machine_count_t1machine_count_t2measuremachine_count_t2machine_count_t2machine_labeldimensionmachine_labelmachine_labelmachine_registered_countmeasuremachine_registered_countmachine_registered_countmachine_license_countmeasuremachine_license_countmachine_license_countmachine_total_countmeasuremachine_total_countmachine_total_countuser_labeldimensionuser_labeluser_labeluser_registered_countmeasureuser_registered_countuser_registered_countuser_license_countmeasureuser_license_countuser_license_countuser_total_countmeasureuser_total_countuser_total_countworst_ux_score_t1measureworst_ux_score_t1worst_ux_score_t1worst_ux_score_t2measureworst_ux_score_t2worst_ux_score_t2avg_ux_score_t1measureavg_ux_score_t1avg_ux_score_t1avg_ux_score_t2measureavg_ux_score_t2avg_ux_score_t2best_ux_score_t1measurebest_ux_score_t1best_ux_score_t1best_ux_score_t2measurebest_ux_score_t2best_ux_score_t2machines_ux_good_count_t1measuremachines_ux_good_count_t1machines_ux_good_count_t1machines_ux_fair_count_t1measuremachines_ux_fair_count_t1machines_ux_fair_count_t1machines_ux_poor_count_t1measuremachines_ux_poor_count_t1machines_ux_poor_count_t1machines_ux_good_count_t2measuremachines_ux_good_count_t2machines_ux_good_count_t2machines_ux_fair_count_t2measuremachines_ux_fair_count_t2machines_ux_fair_count_t2machines_ux_poor_count_t2measuremachines_ux_poor_count_t2machines_ux_poor_count_t2avg_cpu_percent_t1measureavg_cpu_percent_t1avg_cpu_percent_t1avg_cpu_percent_t2measureavg_cpu_percent_t2avg_cpu_percent_t2avg_peak_cpu_percent_t1measureavg_peak_cpu_percent_t1avg_peak_cpu_percent_t1avg_peak_cpu_percent_t2measureavg_peak_cpu_percent_t2avg_peak_cpu_percent_t2avg_cpu_queue_t1measureavg_cpu_queue_t1avg_cpu_queue_t1avg_cpu_queue_t2measureavg_cpu_queue_t2avg_cpu_queue_t2peak_avg_cpu_queue_t1measurepeak_avg_cpu_queue_t1peak_avg_cpu_queue_t1peak_avg_cpu_queue_t2measurepeak_avg_cpu_queue_t2peak_avg_cpu_queue_t2avg_peak_cpu_queue_t1measureavg_peak_cpu_queue_t1avg_peak_cpu_queue_t1avg_peak_cpu_queue_t2measureavg_peak_cpu_queue_t2avg_peak_cpu_queue_t2peak_cpu_queue_t1measurepeak_cpu_queue_t1peak_cpu_queue_t1peak_cpu_queue_t2measurepeak_cpu_queue_t2peak_cpu_queue_t2avg_ram_percent_t1measureavg_ram_percent_t1avg_ram_percent_t1avg_ram_percent_t2measureavg_ram_percent_t2avg_ram_percent_t2peak_avg_ram_percent_t1measurepeak_avg_ram_percent_t1peak_avg_ram_percent_t1peak_avg_ram_percent_t2measurepeak_avg_ram_percent_t2peak_avg_ram_percent_t2avg_peak_ram_percent_t1measureavg_peak_ram_percent_t1avg_peak_ram_percent_t1avg_peak_ram_percent_t2measureavg_peak_ram_percent_t2avg_peak_ram_percent_t2peak_ram_percent_t1measurepeak_ram_percent_t1peak_ram_percent_t1peak_ram_percent_t2measurepeak_ram_percent_t2peak_ram_percent_t2min_login_delay_s_t1measuremin_login_delay_s_t1min_login_delay_s_t1min_login_delay_s_t2measuremin_login_delay_s_t2min_login_delay_s_t2avg_login_delay_s_t1measureavg_login_delay_s_t1avg_login_delay_s_t1avg_login_delay_s_t2measureavg_login_delay_s_t2avg_login_delay_s_t2peak_login_delay_s_t1measurepeak_login_delay_s_t1peak_login_delay_s_t1peak_login_delay_s_t2measurepeak_login_delay_s_t2peak_login_delay_s_t2desk_app_id_count_t1measuredesk_app_id_count_t1desk_app_id_count_t1desk_app_id_count_t2measuredesk_app_id_count_t2desk_app_id_count_t2desk_app_name_count_t1measuredesk_app_name_count_t1desk_app_name_count_t1desk_app_name_count_t2measuredesk_app_name_count_t2desk_app_name_count_t2desk_app_process_name_count_t1measuredesk_app_process_name_count_t1desk_app_process_name_count_t1desk_app_process_name_count_t2measuredesk_app_process_name_count_t2desk_app_process_name_count_t2desk_app_id_fg_count_t1measuredesk_app_id_fg_count_t1desk_app_id_fg_count_t1desk_app_id_fg_count_t2measuredesk_app_id_fg_count_t2desk_app_id_fg_count_t2desk_app_name_fg_count_t1measuredesk_app_name_fg_count_t1desk_app_name_fg_count_t1desk_app_name_fg_count_t2measuredesk_app_name_fg_count_t2desk_app_name_fg_count_t2desk_app_process_name_fg_count_t1measuredesk_app_process_name_fg_count_t1desk_app_process_name_fg_count_t1desk_app_process_name_fg_count_t2measuredesk_app_process_name_fg_count_t2desk_app_process_name_fg_count_t2desk_app_id_anr_count_t1measuredesk_app_id_anr_count_t1desk_app_id_anr_count_t1desk_app_id_anr_count_t2measuredesk_app_id_anr_count_t2desk_app_id_anr_count_t2desk_app_name_anr_count_t1measuredesk_app_name_anr_count_t1desk_app_name_anr_count_t1desk_app_name_anr_count_t2measuredesk_app_name_anr_count_t2desk_app_name_anr_count_t2desk_app_process_name_anr_count_t1measuredesk_app_process_name_anr_count_t1desk_app_process_name_anr_count_t1desk_app_process_name_anr_count_t2measuredesk_app_process_name_anr_count_t2desk_app_process_name_anr_count_t2min_launch_delay_s_t1measuremin_launch_delay_s_t1min_launch_delay_s_t1min_launch_delay_s_t2measuremin_launch_delay_s_t2min_launch_delay_s_t2avg_launch_delay_s_t1measureavg_launch_delay_s_t1avg_launch_delay_s_t1avg_launch_delay_s_t2measureavg_launch_delay_s_t2avg_launch_delay_s_t2peak_avg_launch_delay_s_t1measurepeak_avg_launch_delay_s_t1peak_avg_launch_delay_s_t1peak_avg_launch_delay_s_t2measurepeak_avg_launch_delay_s_t2peak_avg_launch_delay_s_t2avg_peak_launch_delay_s_t1measureavg_peak_launch_delay_s_t1avg_peak_launch_delay_s_t1avg_peak_launch_delay_s_t2measureavg_peak_launch_delay_s_t2avg_peak_launch_delay_s_t2peak_launch_delay_s_t1measurepeak_launch_delay_s_t1peak_launch_delay_s_t1peak_launch_delay_s_t2measurepeak_launch_delay_s_t2peak_launch_delay_s_t2total_anr_t1measuretotal_anr_t1total_anr_t1total_anr_t2measuretotal_anr_t2total_anr_t2total_fg_time_sec_t1measuretotal_fg_time_sec_t1total_fg_time_sec_t1total_fg_time_sec_t2measuretotal_fg_time_sec_t2total_fg_time_sec_t2host_count_t1measurehost_count_t1host_count_t1host_count_t2measurehost_count_t2host_count_t2machine_type_count_t1measuremachine_type_count_t1machine_type_count_t1machine_type_count_t2measuremachine_type_count_t2machine_type_count_t2machine_types_t1dimensionmachine_types_t1machine_types_t1machine_types_t2dimensionmachine_types_t2machine_types_t2platform_names_t1dimensionplatform_names_t1platform_names_t1platform_names_t2dimensionplatform_names_t2platform_names_t2platform_count_t1measureplatform_count_t1platform_count_t1platform_count_t2measureplatform_count_t2platform_count_t2os_version_count_t1measureos_version_count_t1os_version_count_t1os_version_count_t2measureos_version_count_t2os_version_count_t2avg_disk_used_percentage_t1measureavg_disk_used_percentage_t1avg_disk_used_percentage_t1avg_disk_used_percentage_t2measureavg_disk_used_percentage_t2avg_disk_used_percentage_t2avg_disk_queue_t1measureavg_disk_queue_t1avg_disk_queue_t1avg_disk_queue_t2measureavg_disk_queue_t2avg_disk_queue_t2avg_disk_response_time_ms_t1measureavg_disk_response_time_ms_t1avg_disk_response_time_ms_t1avg_disk_response_time_ms_t2measureavg_disk_response_time_ms_t2avg_disk_response_time_ms_t2avg_nrt_ms_t1measureavg_nrt_ms_t1avg_nrt_ms_t1avg_nrt_ms_t2measureavg_nrt_ms_t2avg_nrt_ms_t2avg_session_latency_ms_t1measureavg_session_latency_ms_t1avg_session_latency_ms_t1avg_session_latency_ms_t2measureavg_session_latency_ms_t2avg_session_latency_ms_t2total_inc_conn_count_t1measuretotal_inc_conn_count_t1total_inc_conn_count_t1total_inc_conn_count_t2measuretotal_inc_conn_count_t2total_inc_conn_count_t2total_nic_mb_t1measuretotal_nic_mb_t1total_nic_mb_t1total_nic_mb_t2measuretotal_nic_mb_t2total_nic_mb_t2avg_nic_kbps_t1measureavg_nic_kbps_t1avg_nic_kbps_t1avg_nic_kbps_t2measureavg_nic_kbps_t2avg_nic_kbps_t2param_1StartTimedateTime931falsetruefalseparam_2EndTimedateTime932falsetruefalseparam_3UserGroupstring123falsetruefalseparam_4UserGroupstring124falsetruefalseparam_5MachineGroupstring125falsetruefalseparam_6MachineGroupstring126falsetruefalseparam_7StartTimedateTime937falsetruefalseparam_8EndTimedateTime938falsetruefalseparam_9UserGroupstring129falsetruefalseparam_10UserGroupstring1210falsetruefalseparam_11MachineGroupstring1211falsetruefalseparam_12MachineGroupstring1212falsetruefalseparam_13StartTimedateTime9313falsetruefalseparam_14EndTimedateTime9314falsetruefalseparam_15MachineGroupstring1215falsetruefalseparam_16MachineGroupstring1216falsetruefalseparam_17StartTimedateTime9317falsetruefalseparam_18EndTimedateTime9318falsetruefalseparam_19MachineGroupstring1219falsetruefalseparam_20MachineGroupstring1220falsetruefalseparam_21CompStartTimedateTime9321falsetruefalseparam_22CompEndTimedateTime9322falsetruefalseparam_23UserGroupstring1223falsetruefalseparam_24UserGroupstring1224falsetruefalseparam_25MachineGroupstring1225falsetruefalseparam_26MachineGroupstring1226falsetruefalseparam_27CompStartTimedateTime9327falsetruefalseparam_28CompEndTimedateTime9328falsetruefalseparam_29UserGroupstring1229falsetruefalseparam_30UserGroupstring1230falsetruefalseparam_31MachineGroupstring1231falsetruefalseparam_32MachineGroupstring1232falsetruefalseparam_33CompStartTimedateTime9333falsetruefalseparam_34CompEndTimedateTime9334falsetruefalseparam_35MachineGroupstring1235falsetruefalseparam_36MachineGroupstring1236falsetruefalseparam_37CompStartTimedateTime9337falsetruefalseparam_38CompEndTimedateTime9338falsetruefalseparam_39MachineGroupstring1239falsetruefalseparam_40MachineGroupstring1240falsetruefalseparam_41EndTimedateTime9341falsetruefalseparam_42StartTimedateTime9342falsetruefalseparam_43StartTimedateTime9343falsetruefalseparam_44EndTimedateTime9344falsetruefalseparam_45MachineGroupstring1245falsetruefalseparam_46MachineGroupstring1246falsetruefalseparam_47StartTimedateTime9347falsetruefalseparam_48EndTimedateTime9348falsetruefalseparam_49StartTimedateTime9349falsetruefalseparam_50EndTimedateTime9350falsetruefalseparam_51UserGroupstring1251falsetruefalseparam_52UserGroupstring1252falsetruefalseparam_53CompEndTimedateTime9353falsetruefalseparam_54CompStartTimedateTime9354falsetruefalseparam_55CompStartTimedateTime9355falsetruefalseparam_56CompEndTimedateTime9356falsetruefalseparam_57MachineGroupstring1257falsetruefalseparam_58MachineGroupstring1258falsetruefalseparam_59CompStartTimedateTime9359falsetruefalseparam_60CompEndTimedateTime9360falsetruefalseparam_61CompStartTimedateTime9361falsetruefalseparam_62CompEndTimedateTime9362falsetruefalseparam_63UserGroupstring1263falsetruefalseparam_64UserGroupstring1264falsetruefalseparam_65StartTimedateTime9365truefalseparam_66EndTimedateTime9366truefalseparam_67UserGroupstring1267truefalseparam_68UserGroupstring1268truefalseparam_69MachineGroupstring1269truefalseparam_70MachineGroupstring1270truefalseparam_71CompStartTimedateTime9371truefalseparam_72CompEndTimedateTime9372truefalseparam_73UserGroupstring1273truefalseparam_74UserGroupstring1274truefalseparam_75MachineGroupstring1275truefalseparam_76MachineGroupstring1276truefalse1user_count_t1decimal2user_count_t2decimal3machine_count_t1decimal4machine_count_t2decimal5machine_labelstring6machine_registered_countdecimal7machine_license_countinteger8machine_total_countdecimal9user_labelstring10user_registered_countdecimal11user_license_countinteger12user_total_countdecimal13worst_ux_score_t1float14worst_ux_score_t2float15avg_ux_score_t1float16avg_ux_score_t2float17best_ux_score_t1float18best_ux_score_t2float19machines_ux_good_count_t1decimal20machines_ux_fair_count_t1decimal21machines_ux_poor_count_t1decimal22machines_ux_good_count_t2decimal23machines_ux_fair_count_t2decimal24machines_ux_poor_count_t2decimal25avg_cpu_percent_t1float26avg_cpu_percent_t2float27avg_peak_cpu_percent_t1float28avg_peak_cpu_percent_t2float29avg_cpu_queue_t1float30avg_cpu_queue_t2float31peak_avg_cpu_queue_t1float32peak_avg_cpu_queue_t2float33avg_peak_cpu_queue_t1float34avg_peak_cpu_queue_t2float35peak_cpu_queue_t1float36peak_cpu_queue_t2float37avg_ram_percent_t1float38avg_ram_percent_t2float39peak_avg_ram_percent_t1float40peak_avg_ram_percent_t2float41avg_peak_ram_percent_t1float42avg_peak_ram_percent_t2float43peak_ram_percent_t1float44peak_ram_percent_t2float45min_login_delay_s_t1float46min_login_delay_s_t2float47avg_login_delay_s_t1float48avg_login_delay_s_t2float49peak_login_delay_s_t1float50peak_login_delay_s_t2float51desk_app_id_count_t1decimal52desk_app_id_count_t2decimal53desk_app_name_count_t1decimal54desk_app_name_count_t2decimal55desk_app_process_name_count_t1decimal56desk_app_process_name_count_t2decimal57desk_app_id_fg_count_t1decimal58desk_app_id_fg_count_t2decimal59desk_app_name_fg_count_t1decimal60desk_app_name_fg_count_t2decimal61desk_app_process_name_fg_count_t1decimal62desk_app_process_name_fg_count_t2decimal63desk_app_id_anr_count_t1decimal64desk_app_id_anr_count_t2decimal65desk_app_name_anr_count_t1decimal66desk_app_name_anr_count_t2decimal67desk_app_process_name_anr_count_t1decimal68desk_app_process_name_anr_count_t2decimal69min_launch_delay_s_t1decimal70min_launch_delay_s_t2decimal71avg_launch_delay_s_t1decimal72avg_launch_delay_s_t2decimal73peak_avg_launch_delay_s_t1decimal74peak_avg_launch_delay_s_t2decimal75avg_peak_launch_delay_s_t1decimal76avg_peak_launch_delay_s_t2decimal77peak_launch_delay_s_t1decimal78peak_launch_delay_s_t2decimal79total_anr_t1decimal80total_anr_t2decimal81total_fg_time_sec_t1float82total_fg_time_sec_t2float83host_count_t1decimal84host_count_t2decimal85machine_type_count_t1decimal86machine_type_count_t2decimal87machine_types_t1string88machine_types_t2string89platform_names_t1string90platform_names_t2string91platform_count_t1decimal92platform_count_t2decimal93os_version_count_t1decimal94os_version_count_t2decimal95avg_disk_used_percentage_t1float96avg_disk_used_percentage_t2float97avg_disk_queue_t1float98avg_disk_queue_t2float99avg_disk_response_time_ms_t1decimal100avg_disk_response_time_ms_t2decimal101avg_nrt_ms_t1float102avg_nrt_ms_t2float103avg_session_latency_ms_t1float104avg_session_latency_ms_t2float105total_inc_conn_count_t1decimal106total_inc_conn_count_t2decimal107total_nic_mb_t1float108total_nic_mb_t2float109avg_nic_kbps_t1float110avg_nic_kbps_t2float111avg_ux_rating_t1string112avg_ux_rating_t2stringPortal1user_count_t1user_count_t1decimal-52user_count_t2user_count_t2decimal-53machine_count_t1machine_count_t1decimal-54machine_count_t2machine_count_t2decimal-55machine_labelmachine_labelstring126machine_registered_countmachine_registered_countdecimal-57machine_license_countmachine_license_countinteger48machine_total_countmachine_total_countdecimal-59user_labeluser_labelstring1210user_registered_countuser_registered_countdecimal-511user_license_countuser_license_countinteger412user_total_countuser_total_countdecimal-513worst_ux_score_t1worst_ux_score_t1float814worst_ux_score_t2worst_ux_score_t2float815avg_ux_score_t1avg_ux_score_t1float816avg_ux_score_t2avg_ux_score_t2float817best_ux_score_t1best_ux_score_t1float818best_ux_score_t2best_ux_score_t2float819machines_ux_good_count_t1machines_ux_good_count_t1decimal-520machines_ux_fair_count_t1machines_ux_fair_count_t1decimal-521machines_ux_poor_count_t1machines_ux_poor_count_t1decimal-522machines_ux_good_count_t2machines_ux_good_count_t2decimal-523machines_ux_fair_count_t2machines_ux_fair_count_t2decimal-524machines_ux_poor_count_t2machines_ux_poor_count_t2decimal-525avg_cpu_percent_t1avg_cpu_percent_t1float826avg_cpu_percent_t2avg_cpu_percent_t2float827avg_peak_cpu_percent_t1avg_peak_cpu_percent_t1float828avg_peak_cpu_percent_t2avg_peak_cpu_percent_t2float829avg_cpu_queue_t1avg_cpu_queue_t1float830avg_cpu_queue_t2avg_cpu_queue_t2float831peak_avg_cpu_queue_t1peak_avg_cpu_queue_t1float832peak_avg_cpu_queue_t2peak_avg_cpu_queue_t2float833avg_peak_cpu_queue_t1avg_peak_cpu_queue_t1float834avg_peak_cpu_queue_t2avg_peak_cpu_queue_t2float835peak_cpu_queue_t1peak_cpu_queue_t1float836peak_cpu_queue_t2peak_cpu_queue_t2float837avg_ram_percent_t1avg_ram_percent_t1float838avg_ram_percent_t2avg_ram_percent_t2float839peak_avg_ram_percent_t1peak_avg_ram_percent_t1float840peak_avg_ram_percent_t2peak_avg_ram_percent_t2float841avg_peak_ram_percent_t1avg_peak_ram_percent_t1float842avg_peak_ram_percent_t2avg_peak_ram_percent_t2float843peak_ram_percent_t1peak_ram_percent_t1float844peak_ram_percent_t2peak_ram_percent_t2float845min_login_delay_s_t1min_login_delay_s_t1float846min_login_delay_s_t2min_login_delay_s_t2float847avg_login_delay_s_t1avg_login_delay_s_t1float848avg_login_delay_s_t2avg_login_delay_s_t2float849peak_login_delay_s_t1peak_login_delay_s_t1float850peak_login_delay_s_t2peak_login_delay_s_t2float851desk_app_id_count_t1desk_app_id_count_t1decimal-552desk_app_id_count_t2desk_app_id_count_t2decimal-553desk_app_name_count_t1desk_app_name_count_t1decimal-554desk_app_name_count_t2desk_app_name_count_t2decimal-555desk_app_process_name_count_t1desk_app_process_name_count_t1decimal-556desk_app_process_name_count_t2desk_app_process_name_count_t2decimal-557desk_app_id_fg_count_t1desk_app_id_fg_count_t1decimal-558desk_app_id_fg_count_t2desk_app_id_fg_count_t2decimal-559desk_app_name_fg_count_t1desk_app_name_fg_count_t1decimal-560desk_app_name_fg_count_t2desk_app_name_fg_count_t2decimal-561desk_app_process_name_fg_count_t1desk_app_process_name_fg_count_t1decimal-562desk_app_process_name_fg_count_t2desk_app_process_name_fg_count_t2decimal-563desk_app_id_anr_count_t1desk_app_id_anr_count_t1decimal-564desk_app_id_anr_count_t2desk_app_id_anr_count_t2decimal-565desk_app_name_anr_count_t1desk_app_name_anr_count_t1decimal-566desk_app_name_anr_count_t2desk_app_name_anr_count_t2decimal-567desk_app_process_name_anr_count_t1desk_app_process_name_anr_count_t1decimal-568desk_app_process_name_anr_count_t2desk_app_process_name_anr_count_t2decimal-569min_launch_delay_s_t1min_launch_delay_s_t1decimal270min_launch_delay_s_t2min_launch_delay_s_t2decimal271avg_launch_delay_s_t1avg_launch_delay_s_t1decimal272avg_launch_delay_s_t2avg_launch_delay_s_t2decimal273peak_avg_launch_delay_s_t1peak_avg_launch_delay_s_t1decimal274peak_avg_launch_delay_s_t2peak_avg_launch_delay_s_t2decimal275avg_peak_launch_delay_s_t1avg_peak_launch_delay_s_t1decimal276avg_peak_launch_delay_s_t2avg_peak_launch_delay_s_t2decimal277peak_launch_delay_s_t1peak_launch_delay_s_t1decimal278peak_launch_delay_s_t2peak_launch_delay_s_t2decimal279total_anr_t1total_anr_t1decimal280total_anr_t2total_anr_t2decimal281total_fg_time_sec_t1total_fg_time_sec_t1float882total_fg_time_sec_t2total_fg_time_sec_t2float883host_count_t1host_count_t1decimal-584host_count_t2host_count_t2decimal-585machine_type_count_t1machine_type_count_t1decimal-586machine_type_count_t2machine_type_count_t2decimal-587machine_types_t1machine_types_t1string200388machine_types_t2machine_types_t2string200389platform_names_t1platform_names_t1string1290platform_names_t2platform_names_t2string1291platform_count_t1platform_count_t1decimal-592platform_count_t2platform_count_t2decimal-593os_version_count_t1os_version_count_t1decimal-594os_version_count_t2os_version_count_t2decimal-595avg_disk_used_percentage_t1avg_disk_used_percentage_t1float896avg_disk_used_percentage_t2avg_disk_used_percentage_t2float897avg_disk_queue_t1avg_disk_queue_t1float898avg_disk_queue_t2avg_disk_queue_t2float899avg_disk_response_time_ms_t1avg_disk_response_time_ms_t1decimal2100avg_disk_response_time_ms_t2avg_disk_response_time_ms_t2decimal2101avg_nrt_ms_t1avg_nrt_ms_t1float8102avg_nrt_ms_t2avg_nrt_ms_t2float8103avg_session_latency_ms_t1avg_session_latency_ms_t1float8104avg_session_latency_ms_t2avg_session_latency_ms_t2float8105total_inc_conn_count_t1total_inc_conn_count_t1decimal-5106total_inc_conn_count_t2total_inc_conn_count_t2decimal-5107total_nic_mb_t1total_nic_mb_t1float8108total_nic_mb_t2total_nic_mb_t2float8109avg_nic_kbps_t1avg_nic_kbps_t1float8110avg_nic_kbps_t2avg_nic_kbps_t2float8= 2.75 then s.node_id end) as machines_ux_good_count,
-- count(distinct case when s.vdi_ux_overall >= 1.75 and s.vdi_ux_overall < 2.75 then s.node_id end) as machines_ux_fair_count,
-- count(distinct case when s.vdi_ux_overall < 1.75 then s.node_id end) as machines_ux_poor_count,
avg(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as avg_cpu_percent,
max(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as peak_avg_cpu_percent,
avg(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as avg_peak_cpu_percent,
max(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as peak_cpu_percent,
avg(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
min(lstats.login_delay_s) as min_login_delay_s,
avg(lstats.login_delay_s) as avg_login_delay_s,
max(lstats.login_delay_s) as peak_login_delay_s,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
sum(s.total_app_anr) as total_app_anr,
count(distinct s.vmhost_id) as host_count,
count(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_type_count,
array_agg(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_types,
count(distinct os.name) as platform_count,
string_agg(distinct os.name, ',') as platform_names,
count(distinct os.version) as os_version_count,
-- Physical Disk Stats
-- avg(pdisk_stats.disk_count)::float as avg_disk_count,
-- (sum(pdisk_stats.avg_read_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_read_iops,
-- (sum(pdisk_stats.avg_write_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_write_iops,
-- (sum(pdisk_stats.avg_read_io_count)/sum(pdisk_stats.dcid_seconds) + sum(pdisk_stats.avg_write_io_count)/sum(pdisk_stats.dcid_seconds)) as avg_disk_iops,
-- avg(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as avg_peak_disk_iops,
-- max(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as peak_disk_iops,
-- sum(pdisk_stats.avg_read_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_read_iorate_kbps,
-- sum(pdisk_stats.avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_write_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes + avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes)/1048576 as total_disk_read_io_mb,
-- sum(pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_write_io_mb,
-- sum(pdisk_stats.avg_read_io_bytes + pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_io_mb,
-- avg(pdisk_stats.avg_disk_used_gb) as avg_disk_used_gb,
avg(case when pdisk_stats.avg_disk_alloc_gb > 0 then least(pdisk_stats.avg_disk_used_gb/pdisk_stats.avg_disk_alloc_gb, 1) else null end) * 100 as avg_disk_used_percentage,
-- avg(pdisk_stats.avg_disk_alloc_gb) as avg_disk_alloc_gb,
-- -- round((avg(avg_size_gb) * count(distinct s.node_id))::numeric, 2) as sum_disk_size_gb,
avg(case when pdisk_stats.total_avg_queue > 0 then pdisk_stats.total_avg_queue else null end) as avg_disk_queue,
-- max(pdisk_stats.total_peak_queue) as peak_disk_queue,
avg(case when pdisk_stats.avg_disk_response_time_ms > 0 then pdisk_stats.avg_disk_response_time_ms else null end) as avg_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_peak_disk_response_time_ms > 0 then pdisk_stats.avg_peak_disk_response_time_ms else null end) as avg_peak_disk_response_time_ms,
-- max(pdisk_stats.avg_peak_disk_response_time_ms) as peak_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_disk_utilization_percent > 0 then pdisk_stats.avg_disk_utilization_percent else null end) as avg_disk_utilization_percent,
-- avg(case when pdisk_stats.avg_peak_disk_utilization_percent > 0 then pdisk_stats.avg_peak_disk_utilization_percent else null end) as avg_peak_disk_utilization_percent,
-- max(pdisk_stats.avg_peak_disk_utilization_percent) as peak_disk_utilization_percent,
-- Network
avg(case when s.avg_center_nrt > 0 then s.avg_center_nrt else null end)/1000.0 as avg_nrt_ms,
avg(case when s.avg_inc_nrt > 0 then s.avg_inc_nrt else null end)/1000.0 as avg_session_latency_ms,
sum(s.inc_conn_count) as total_inc_conn_count,
-- NIC stats
-- round((avg(nic_stats.nic_count))::numeric, 1) as nic_count,
-- sum(nic_stats.total_send_bytes) / 1048576 as total_nic_send_mb,
-- sum(nic_stats.total_receive_bytes) / 1048576 as total_nic_receive_mb,
(sum(nic_stats.total_send_bytes) + sum(nic_stats.total_receive_bytes)) / 1048576 as total_nic_mb,
-- (sum(nic_stats.total_send_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_send_kbps,
-- (sum(nic_stats.total_receive_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_receive_kbps,
((sum(nic_stats.total_send_bytes) / sum(nic_stats.ncid_seconds)) + (sum(total_receive_bytes) / sum(s.scid_seconds))) / 1024 as avg_nic_kbps
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
join (
select
nde.id as node_id,
nde.os_id,
nde.vmtype,
nde.vmhost_id,
nde.fqmn,
age(current_timestamp, nde.bios_date) as machine_age,
age(current_timestamp, nde.last_boot_time) as machine_up_time,
nde_hw_cpu.cores_per_cpu as cores_per_cpu,
nde_hw_cpu.cpu_speed_mhz as cpu_speed_mhz,
nde_hw_cpu.cpu_count,
nde_hw_cpu.total_cpu_alloc_cores,
nde_hw_cpu.total_cpu_alloc_mhz
from
tnt_config.node nde
join (
select
hardware_id,
max(cores) as cores_per_cpu,
round(avg(speed_mhz)::numeric, 0) as cpu_speed_mhz,
count(distinct id) as cpu_count,
sum(cores) as total_cpu_alloc_cores,
sum(speed_mhz * cores) as total_cpu_alloc_mhz
from
tnt_config.node_hardware_cpus
group by
hardware_id
) nde_hw_cpu on (nde_hw_cpu.hardware_id = nde.hardware_id)
where
nde.delete_time is null
and nde.ihostversion is not null
) nde on (nde.node_id = s.node_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.policyidentity pi on (pi.id = s.user_id and pi.delete_time is null and pi.type = 1)
-- left outer join tnt_config.vmhost vmh on (vmh.id = case when s.vmhost_id is null then nde.vmhost_id else s.vmhost_id end)
-- Login stats: summaryreport_login_stats
left outer join(
select
s.node_id,
s.start_date,
s.end_date,
cast(s.details->'session' as int) as session_id,
-- s.user_os_id as user_guid,
s.user_id as user_id,
-- lower(pi.name) as user_name,
-- lower(s.name) as user_domain_name,
-- split_part(lower(s.name), '@', 2) as domain_name,
s.login_time,
s.logout_time,
s.first_record,
s.login_delay_ms,
(case when s.first_record is true then s.login_delay_ms/1000.0 else null end) as login_delay_s,
s.is_admin,
s.secs_active,
cast(s.details->'idle' as float) as session_callback_idle_min,
cast(s.details->'idle_total' as float) as session_total_idle_min,
-- s.network_id,
s.remote_ip,
s.remote_machine_name,
-- cast(s.details->'preloginActTime' as float) as pre_login_actual_time_ms,
-- -- cast(s.details->'breakdownLoginTimeEpochMs' as float) as login_breakdown_time_epoch_ms,
-- to_timestamp(cast(s.details->'breakdownLoginTimeEpochMs' as bigint)/1000) as login_breakdown_time_utc,
-- cast(s.details->'postloginActTime' as float) as post_login_actual_time_ms,
-- cast(s.details->'DCDiscoveryTime' as float) as dc_discovery_time_ms,
-- cast(s.details->'DCIP' as inet) as dc_ip,
-- cast(s.details->'DCName' as text) as dc_name,
-- cast(s.details->'authenticationTime' as float) as authentication_time_ms,
-- cast(s.details->'GPComputerTime' as float) as gp_computer_time_ms,
-- cast(s.details->'GPScriptsTime' as float) as gp_scripts_time_ms,
-- cast(s.details->'GPUserTime' as float) as gp_user_time_ms,
-- cast(s.details->'NetworkPrividerTime' as float) as network_provider_time_ms,
-- cast(s.details->'UserProfileTime' as float) as user_profile_time_ms,
-- cast(s.details->'abnormalEvents' as int) as abnormal_events,
-- cast(s.details->'loadShellTime' as float) as load_shell_time_ms,
-- cast(s.details->'restoreNetworkTime' as float) as restore_network_time_ms,
-- cast(s.details->'themeslogonTime' as float) as themes_logon_time_ms,
-- cast(s.details->'updateUserParameterTime' as float) as update_user_parameter_time_ms,
-- s.details,
greatest(extract(epoch from s.end_date - s.start_date), 1) as lcid_seconds
from
tnt_audit.summaryreport_login_stats s
where
(s.end_date between ? and ?)
-- User group filer
and ('%' = ? or s.user_id is null or s.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) lstats on (
lstats.node_id = s.node_id
and lstats.start_date = s.start_date
and lstats.end_date = s.end_date
and lstats.user_id = s.user_id
)
-- Physical disk stats: summaryreport_disk_stats
left outer join (
-- Sum up numbers across disks by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
count(distinct lower(s.name)) as disk_count,
string_agg(s.name, ',') as disk_names,
string_agg(s.disk_label, ',') as disk_labels,
s.datastore_id,
s.datastore_name,
count(distinct s.datastore_id) as datastore_count,
string_agg(distinct s.datastore_name, ',') as datastore_names,
sum(avg_read_iops) as avg_read_iops,
sum(peak_read_iops) as peak_read_iops,
sum(avg_write_iops) as avg_write_iops,
sum(peak_write_iops) as peak_write_iops,
sum(avg_read_io_count) as avg_read_io_count,
sum(avg_read_io_count) / avg(dcid_seconds) as avg_read_iops,
sum(avg_write_io_count) as avg_write_io_count,
sum(avg_write_io_count) / avg(dcid_seconds) as avg_write_iops,
sum(avg_read_io_bytes) as avg_read_io_bytes,
sum(avg_read_io_bytes) / avg(dcid_seconds) as avg_read_bytesps,
sum(avg_write_io_bytes) as avg_write_io_bytes,
sum(avg_write_io_bytes) / avg(dcid_seconds) as avg_write_bytesps,
sum(avg_read_rate_bytesps) as avg_read_rate_bytesps,
sum(avg_write_rate_bytesps) as avg_write_rate_bytesps,
sum(avg_disk_alloc_kb) as avg_disk_alloc_kb,
sum(avg_disk_used_kb) as avg_disk_used_kb,
sum(avg_disk_used_kb)/1048576 as avg_disk_used_gb,
sum(avg_disk_alloc_kb)/1048576 as avg_disk_alloc_gb,
avg(case when avg_queue > 0 then avg_queue else null end) as avg_queue,
max(avg_queue) as peak_avg_queue,
sum(avg_queue) as total_avg_queue,
avg(case when peak_queue > 0 then peak_queue else null end) as avg_peak_queue,
max(peak_queue) as peak_queue,
sum(peak_queue) as total_peak_queue,
avg(case when avg_read_latency_ms > 0 then avg_read_latency_ms else null end) as avg_read_latency_ms,
max(avg_read_latency_ms) as peak_avg_read_latency_ms,
avg(case when peak_read_latency_ms > 0 then peak_read_latency_ms else null end) as avg_peak_read_latency_ms,
max(peak_read_latency_ms) as peak_read_latency_ms,
avg(case when avg_write_latency_ms > 0 then avg_write_latency_ms else null end) as avg_write_latency_ms,
max(avg_write_latency_ms) as peak_avg_write_latency_ms,
avg(case when peak_write_latency_ms > 0 then peak_write_latency_ms else null end) as avg_peak_write_latency_ms,
max(peak_write_latency_ms) as peak_write_latency_ms,
avg(avg_disk_utilization_percent) as avg_disk_utilization_percent,
avg(peak_disk_utilization_percent) as avg_peak_disk_utilization_percent,
avg(avg_disk_response_time_ms) as avg_disk_response_time_ms,
avg(peak_disk_response_time_ms) as avg_peak_disk_response_time_ms,
avg(dcid_seconds) as dcid_seconds
from (
-- This is at the node_id, start_date, end_date, disk_name level
select
s.node_id,
s.start_date,
s.end_date,
s.disk_id,
s.name,
s.device,
cast(s.details->'label' as text) as disk_label,
s.vdisk_datastoreid as datastore_id,
-- case when ds.name not ilike 'Unknown' then ds.name else '' end as datastore_name,
case when ds.name not ilike 'Unknown' then ds.name else null end as datastore_name,
1 as disk_count,
s.read_avg as avg_read_iops,
s.read_peak as peak_read_iops,
s.write_avg as avg_write_iops,
s.write_peak as peak_write_iops,
(s.read_avg * s.dcid_seconds) as avg_read_io_count,
(s.write_avg * s.dcid_seconds) as avg_write_io_count,
(s.read_io_avg * 1024 * s.dcid_seconds) as avg_read_io_bytes,
(s.write_io_avg * 1024 * s.dcid_seconds) as avg_write_io_bytes,
(s.read_io_avg * 1024) as avg_read_rate_bytesps,
(s.write_io_avg * 1024) as avg_write_rate_bytesps,
s.avg_used as avg_disk_used_kb,
s.size as avg_disk_alloc_kb,
s.queue_avg as avg_queue,
s.queue_peak as peak_queue,
cast(s.details->'readLatencyAverage' as numeric) as avg_read_latency_ms,
cast(s.details->'readLatencyPeak' as numeric) as peak_read_latency_ms,
cast(s.details->'writeLatencyAverage' as numeric) as avg_write_latency_ms,
cast(s.details->'writeLatencyPeak' as numeric) as peak_write_latency_ms,
cast(s.details->'utilizationPercentMin' as numeric) as min_disk_utilization_percent,
cast(s.details->'utilizationPercentAverage' as numeric) as avg_disk_utilization_percent,
cast(s.details->'utilizationPercentPeak' as numeric) as peak_disk_utilization_percent,
cast(s.details->'responseTimeMSMin' as numeric) as min_disk_response_time_ms,
cast(s.details->'responseTimeMSAverage' as numeric) as avg_disk_response_time_ms,
cast(s.details->'responseTimeMSPeak' as numeric) as peak_disk_response_time_ms,
s.dcid_seconds
from (
select
s.*,
greatest(extract(epoch from s.end_date - s.start_date), 1) as dcid_seconds
from
tnt_audit.summaryreport_disk_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
left outer join tnt_config.datastore ds on (ds.id = s.vdisk_datastoreid and ds.delete_time is null)
) s
group by
s.node_id,
s.start_date,
s.end_date,
s.datastore_id,
s.datastore_name
) pdisk_stats on (
pdisk_stats.node_id = s.node_id
and pdisk_stats.start_date = s.start_date
and pdisk_stats.end_date = s.end_date
) -- summaryreport_disk_stats
-- NIC stats
left outer join (
-- Sum up numbers across nics by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
sum(s.nic_count) as nic_count,
string_agg(distinct (array_to_string(s.ip_addresses,',')), ',' ) as ip_addresses,
sum(s.total_send_bytes) as total_send_bytes,
sum(s.total_send_bytes) / avg(s.ncid_seconds) as avg_send_bytesps,
sum(s.peak_send_bytesps) as peak_send_bytesps,
sum(s.total_receive_bytes) as total_receive_bytes,
sum(s.total_receive_bytes) / avg(s.ncid_seconds) as avg_receive_bytesps,
sum(s.peak_receive_bytesps) as peak_receive_bytesps,
avg(s.ncid_seconds) as ncid_seconds
from (
-- This is at the node_id, start_date, end_date, nic name level
select
s.node_id,
s.start_date,
s.end_date,
s.name,
1 as nic_count,
case when s.addresses is null then array['0.0.0.0/32'::inet] else s.addresses end as ip_addresses,
(send_total * 1024) as total_send_bytes,
(send_peak * 1024) as peak_send_bytesps,
(receive_total * 1024) as total_receive_bytes,
(receive_peak * 1024) as peak_receive_bytesps,
greatest(extract(epoch from s.end_date - s.start_date), 1) as ncid_seconds
from
tnt_audit.summaryreport_nic_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
and (s.speed > 0)
) s
group by
s.node_id,
s.start_date,
s.end_date
) nic_stats on (
nic_stats.node_id = s.node_id
and nic_stats.start_date = s.start_date
and nic_stats.end_date = s.end_date
) -- summaryreport_nic_stats
) s_t1
left outer join (
select
count(distinct s.user_id) as user_count,
count(distinct s.node_id) as machine_count,
min(s.vdi_ux_overall) as worst_ux_score,
avg(s.vdi_ux_overall) as avg_ux_score,
max(s.vdi_ux_overall) as best_ux_score,
-- count(distinct case when s.vdi_ux_overall >= 2.75 then s.node_id end) as machines_ux_good_count,
-- count(distinct case when s.vdi_ux_overall >= 1.75 and s.vdi_ux_overall < 2.75 then s.node_id end) as machines_ux_fair_count,
-- count(distinct case when s.vdi_ux_overall < 1.75 then s.node_id end) as machines_ux_poor_count,
avg(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as avg_cpu_percent,
max(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as peak_avg_cpu_percent,
avg(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as avg_peak_cpu_percent,
max(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as peak_cpu_percent,
avg(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
min(lstats.login_delay_s) as min_login_delay_s,
avg(lstats.login_delay_s) as avg_login_delay_s,
max(lstats.login_delay_s) as peak_login_delay_s,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
sum(s.total_app_anr) as total_app_anr,
count(distinct s.vmhost_id) as host_count,
-- count(distinct pr_stats.desk_app_id) as app_count,
-- count(distinct case when pr_stats.fg_time_sec > 0 then pr_stats.desk_app_id end) as app_user_focus_count,
count(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_type_count,
array_agg(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_types,
count(distinct os.name) as platform_count,
string_agg(distinct os.name, ',') as platform_names,
count(distinct os.version) as os_version_count,
-- Physical Disk Stats
-- avg(pdisk_stats.disk_count)::float as avg_disk_count,
-- (sum(pdisk_stats.avg_read_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_read_iops,
-- (sum(pdisk_stats.avg_write_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_write_iops,
-- (sum(pdisk_stats.avg_read_io_count)/sum(pdisk_stats.dcid_seconds) + sum(pdisk_stats.avg_write_io_count)/sum(pdisk_stats.dcid_seconds)) as avg_disk_iops,
-- avg(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as avg_peak_disk_iops,
-- max(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as peak_disk_iops,
-- sum(pdisk_stats.avg_read_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_read_iorate_kbps,
-- sum(pdisk_stats.avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_write_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes + avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes)/1048576 as total_disk_read_io_mb,
-- sum(pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_write_io_mb,
-- sum(pdisk_stats.avg_read_io_bytes + pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_io_mb,
-- avg(pdisk_stats.avg_disk_used_gb) as avg_disk_used_gb,
avg(case when pdisk_stats.avg_disk_alloc_gb > 0 then least(pdisk_stats.avg_disk_used_gb/pdisk_stats.avg_disk_alloc_gb, 1) else null end) * 100 as avg_disk_used_percentage,
-- avg(pdisk_stats.avg_disk_alloc_gb) as avg_disk_alloc_gb,
-- -- round((avg(avg_size_gb) * count(distinct s.node_id))::numeric, 2) as sum_disk_size_gb,
avg(case when pdisk_stats.total_avg_queue > 0 then pdisk_stats.total_avg_queue else null end) as avg_disk_queue,
-- max(pdisk_stats.total_peak_queue) as peak_disk_queue,
avg(case when pdisk_stats.avg_disk_response_time_ms > 0 then pdisk_stats.avg_disk_response_time_ms else null end) as avg_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_peak_disk_response_time_ms > 0 then pdisk_stats.avg_peak_disk_response_time_ms else null end) as avg_peak_disk_response_time_ms,
-- max(pdisk_stats.avg_peak_disk_response_time_ms) as peak_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_disk_utilization_percent > 0 then pdisk_stats.avg_disk_utilization_percent else null end) as avg_disk_utilization_percent,
-- avg(case when pdisk_stats.avg_peak_disk_utilization_percent > 0 then pdisk_stats.avg_peak_disk_utilization_percent else null end) as avg_peak_disk_utilization_percent,
-- max(pdisk_stats.avg_peak_disk_utilization_percent) as peak_disk_utilization_percent,
-- Network
avg(case when s.avg_center_nrt > 0 then s.avg_center_nrt else null end)/1000.0 as avg_nrt_ms,
avg(case when s.avg_inc_nrt > 0 then s.avg_inc_nrt else null end)/1000.0 as avg_session_latency_ms,
sum(s.inc_conn_count) as total_inc_conn_count,
-- NIC stats
-- round((avg(nic_stats.nic_count))::numeric, 1) as nic_count,
-- sum(nic_stats.total_send_bytes) / 1048576 as total_nic_send_mb,
-- sum(nic_stats.total_receive_bytes) / 1048576 as total_nic_receive_mb,
(sum(nic_stats.total_send_bytes) + sum(nic_stats.total_receive_bytes)) / 1048576 as total_nic_mb,
-- (sum(nic_stats.total_send_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_send_kbps,
-- (sum(nic_stats.total_receive_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_receive_kbps,
((sum(nic_stats.total_send_bytes) / sum(nic_stats.ncid_seconds)) + (sum(total_receive_bytes) / sum(s.scid_seconds))) / 1024 as avg_nic_kbps
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
join (
select
nde.id as node_id,
nde.os_id,
nde.vmtype,
nde.vmhost_id,
nde.fqmn,
age(current_timestamp, nde.bios_date) as machine_age,
age(current_timestamp, nde.last_boot_time) as machine_up_time,
nde_hw_cpu.cores_per_cpu as cores_per_cpu,
nde_hw_cpu.cpu_speed_mhz as cpu_speed_mhz,
nde_hw_cpu.cpu_count,
nde_hw_cpu.total_cpu_alloc_cores,
nde_hw_cpu.total_cpu_alloc_mhz
from
tnt_config.node nde
join (
select
hardware_id,
max(cores) as cores_per_cpu,
round(avg(speed_mhz)::numeric, 0) as cpu_speed_mhz,
count(distinct id) as cpu_count,
sum(cores) as total_cpu_alloc_cores,
sum(speed_mhz * cores) as total_cpu_alloc_mhz
from
tnt_config.node_hardware_cpus
group by
hardware_id
) nde_hw_cpu on (nde_hw_cpu.hardware_id = nde.hardware_id)
where
nde.delete_time is null
and nde.ihostversion is not null
) nde on (nde.node_id = s.node_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.policyidentity pi on (pi.id = s.user_id and pi.delete_time is null and pi.type = 1)
-- left outer join tnt_config.vmhost vmh on (vmh.id = case when s.vmhost_id is null then nde.vmhost_id else s.vmhost_id end)
-- Login stats: summaryreport_login_stats
left outer join(
select
s.node_id,
s.start_date,
s.end_date,
cast(s.details->'session' as int) as session_id,
-- s.user_os_id as user_guid,
s.user_id as user_id,
-- lower(pi.name) as user_name,
-- lower(s.name) as user_domain_name,
-- split_part(lower(s.name), '@', 2) as domain_name,
s.login_time,
s.logout_time,
s.first_record,
s.login_delay_ms,
(case when s.first_record is true then s.login_delay_ms/1000.0 else null end) as login_delay_s,
s.is_admin,
s.secs_active,
cast(s.details->'idle' as float) as session_callback_idle_min,
cast(s.details->'idle_total' as float) as session_total_idle_min,
-- s.network_id,
s.remote_ip,
s.remote_machine_name,
-- cast(s.details->'preloginActTime' as float) as pre_login_actual_time_ms,
-- -- cast(s.details->'breakdownLoginTimeEpochMs' as float) as login_breakdown_time_epoch_ms,
-- to_timestamp(cast(s.details->'breakdownLoginTimeEpochMs' as bigint)/1000) as login_breakdown_time_utc,
-- cast(s.details->'postloginActTime' as float) as post_login_actual_time_ms,
-- cast(s.details->'DCDiscoveryTime' as float) as dc_discovery_time_ms,
-- cast(s.details->'DCIP' as inet) as dc_ip,
-- cast(s.details->'DCName' as text) as dc_name,
-- cast(s.details->'authenticationTime' as float) as authentication_time_ms,
-- cast(s.details->'GPComputerTime' as float) as gp_computer_time_ms,
-- cast(s.details->'GPScriptsTime' as float) as gp_scripts_time_ms,
-- cast(s.details->'GPUserTime' as float) as gp_user_time_ms,
-- cast(s.details->'NetworkPrividerTime' as float) as network_provider_time_ms,
-- cast(s.details->'UserProfileTime' as float) as user_profile_time_ms,
-- cast(s.details->'abnormalEvents' as int) as abnormal_events,
-- cast(s.details->'loadShellTime' as float) as load_shell_time_ms,
-- cast(s.details->'restoreNetworkTime' as float) as restore_network_time_ms,
-- cast(s.details->'themeslogonTime' as float) as themes_logon_time_ms,
-- cast(s.details->'updateUserParameterTime' as float) as update_user_parameter_time_ms,
-- s.details,
greatest(extract(epoch from s.end_date - s.start_date), 1) as lcid_seconds
from
tnt_audit.summaryreport_login_stats s
where
(s.end_date between ? and ?)
-- User group filer
and ('%' = ? or s.user_id is null or s.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) lstats on (
lstats.node_id = s.node_id
and lstats.start_date = s.start_date
and lstats.end_date = s.end_date
and lstats.user_id = s.user_id
)
-- Physical disk stats: summaryreport_disk_stats
left outer join (
-- Sum up numbers across disks by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
count(distinct lower(s.name)) as disk_count,
string_agg(s.name, ',') as disk_names,
string_agg(s.disk_label, ',') as disk_labels,
s.datastore_id,
s.datastore_name,
count(distinct s.datastore_id) as datastore_count,
string_agg(distinct s.datastore_name, ',') as datastore_names,
sum(avg_read_iops) as avg_read_iops,
sum(peak_read_iops) as peak_read_iops,
sum(avg_write_iops) as avg_write_iops,
sum(peak_write_iops) as peak_write_iops,
sum(avg_read_io_count) as avg_read_io_count,
sum(avg_read_io_count) / avg(dcid_seconds) as avg_read_iops,
sum(avg_write_io_count) as avg_write_io_count,
sum(avg_write_io_count) / avg(dcid_seconds) as avg_write_iops,
sum(avg_read_io_bytes) as avg_read_io_bytes,
sum(avg_read_io_bytes) / avg(dcid_seconds) as avg_read_bytesps,
sum(avg_write_io_bytes) as avg_write_io_bytes,
sum(avg_write_io_bytes) / avg(dcid_seconds) as avg_write_bytesps,
sum(avg_read_rate_bytesps) as avg_read_rate_bytesps,
sum(avg_write_rate_bytesps) as avg_write_rate_bytesps,
sum(avg_disk_alloc_kb) as avg_disk_alloc_kb,
sum(avg_disk_used_kb) as avg_disk_used_kb,
sum(avg_disk_used_kb)/1048576 as avg_disk_used_gb,
sum(avg_disk_alloc_kb)/1048576 as avg_disk_alloc_gb,
avg(case when avg_queue > 0 then avg_queue else null end) as avg_queue,
max(avg_queue) as peak_avg_queue,
sum(avg_queue) as total_avg_queue,
avg(case when peak_queue > 0 then peak_queue else null end) as avg_peak_queue,
max(peak_queue) as peak_queue,
sum(peak_queue) as total_peak_queue,
avg(case when avg_read_latency_ms > 0 then avg_read_latency_ms else null end) as avg_read_latency_ms,
max(avg_read_latency_ms) as peak_avg_read_latency_ms,
avg(case when peak_read_latency_ms > 0 then peak_read_latency_ms else null end) as avg_peak_read_latency_ms,
max(peak_read_latency_ms) as peak_read_latency_ms,
avg(case when avg_write_latency_ms > 0 then avg_write_latency_ms else null end) as avg_write_latency_ms,
max(avg_write_latency_ms) as peak_avg_write_latency_ms,
avg(case when peak_write_latency_ms > 0 then peak_write_latency_ms else null end) as avg_peak_write_latency_ms,
max(peak_write_latency_ms) as peak_write_latency_ms,
avg(avg_disk_utilization_percent) as avg_disk_utilization_percent,
avg(peak_disk_utilization_percent) as avg_peak_disk_utilization_percent,
avg(avg_disk_response_time_ms) as avg_disk_response_time_ms,
avg(peak_disk_response_time_ms) as avg_peak_disk_response_time_ms,
avg(dcid_seconds) as dcid_seconds
from (
-- This is at the node_id, start_date, end_date, disk_name level
select
s.node_id,
s.start_date,
s.end_date,
s.disk_id,
s.name,
s.device,
cast(s.details->'label' as text) as disk_label,
s.vdisk_datastoreid as datastore_id,
-- case when ds.name not ilike 'Unknown' then ds.name else '' end as datastore_name,
case when ds.name not ilike 'Unknown' then ds.name else null end as datastore_name,
1 as disk_count,
s.read_avg as avg_read_iops,
s.read_peak as peak_read_iops,
s.write_avg as avg_write_iops,
s.write_peak as peak_write_iops,
(s.read_avg * s.dcid_seconds) as avg_read_io_count,
(s.write_avg * s.dcid_seconds) as avg_write_io_count,
(s.read_io_avg * 1024 * s.dcid_seconds) as avg_read_io_bytes,
(s.write_io_avg * 1024 * s.dcid_seconds) as avg_write_io_bytes,
(s.read_io_avg * 1024) as avg_read_rate_bytesps,
(s.write_io_avg * 1024) as avg_write_rate_bytesps,
s.avg_used as avg_disk_used_kb,
s.size as avg_disk_alloc_kb,
s.queue_avg as avg_queue,
s.queue_peak as peak_queue,
cast(s.details->'readLatencyAverage' as numeric) as avg_read_latency_ms,
cast(s.details->'readLatencyPeak' as numeric) as peak_read_latency_ms,
cast(s.details->'writeLatencyAverage' as numeric) as avg_write_latency_ms,
cast(s.details->'writeLatencyPeak' as numeric) as peak_write_latency_ms,
cast(s.details->'utilizationPercentMin' as numeric) as min_disk_utilization_percent,
cast(s.details->'utilizationPercentAverage' as numeric) as avg_disk_utilization_percent,
cast(s.details->'utilizationPercentPeak' as numeric) as peak_disk_utilization_percent,
cast(s.details->'responseTimeMSMin' as numeric) as min_disk_response_time_ms,
cast(s.details->'responseTimeMSAverage' as numeric) as avg_disk_response_time_ms,
cast(s.details->'responseTimeMSPeak' as numeric) as peak_disk_response_time_ms,
s.dcid_seconds
from (
select
s.*,
greatest(extract(epoch from s.end_date - s.start_date), 1) as dcid_seconds
from
tnt_audit.summaryreport_disk_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
left outer join tnt_config.datastore ds on (ds.id = s.vdisk_datastoreid and ds.delete_time is null)
) s
group by
s.node_id,
s.start_date,
s.end_date,
s.datastore_id,
s.datastore_name
) pdisk_stats on (
pdisk_stats.node_id = s.node_id
and pdisk_stats.start_date = s.start_date
and pdisk_stats.end_date = s.end_date
) -- summaryreport_disk_stats
-- NIC stats
left outer join (
-- Sum up numbers across nics by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
sum(s.nic_count) as nic_count,
string_agg(distinct (array_to_string(s.ip_addresses,',')), ',' ) as ip_addresses,
sum(s.total_send_bytes) as total_send_bytes,
sum(s.total_send_bytes) / avg(s.ncid_seconds) as avg_send_bytesps,
sum(s.peak_send_bytesps) as peak_send_bytesps,
sum(s.total_receive_bytes) as total_receive_bytes,
sum(s.total_receive_bytes) / avg(s.ncid_seconds) as avg_receive_bytesps,
sum(s.peak_receive_bytesps) as peak_receive_bytesps,
avg(s.ncid_seconds) as ncid_seconds
from (
-- This is at the node_id, start_date, end_date, nic name level
select
s.node_id,
s.start_date,
s.end_date,
s.name,
1 as nic_count,
case when s.addresses is null then array['0.0.0.0/32'::inet] else s.addresses end as ip_addresses,
(send_total * 1024) as total_send_bytes,
(send_peak * 1024) as peak_send_bytesps,
(receive_total * 1024) as total_receive_bytes,
(receive_peak * 1024) as peak_receive_bytesps,
greatest(extract(epoch from s.end_date - s.start_date), 1) as ncid_seconds
from
tnt_audit.summaryreport_nic_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
and (s.speed > 0)
) s
group by
s.node_id,
s.start_date,
s.end_date
) nic_stats on (
nic_stats.node_id = s.node_id
and nic_stats.start_date = s.start_date
and nic_stats.end_date = s.end_date
) -- summaryreport_nic_stats
) s_t2 on (true)
-- Process stats
left join lateral (
-- Filename: UX.App.ProcessStats.CIDLevel.v3.sql
select
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- count(distinct pr_stats.user_id) as user_count,
-- -- array_to_string(pr_stats.user_ids, ',') as user_count,
-- -- pr_stats.session_id,
-- -- count(distinct pr_stats.session_id) as session_count,
-- -- array_length(pr_stats.session_ids, 1) as session_count,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name,
count(distinct pr_stats.desk_app_id) as desk_app_id_count,
count(distinct pr_stats.desk_app_name) as desk_app_name_count,
count(distinct pr_stats.desk_app_process_name) as desk_app_process_name_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_id end) as desk_app_id_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_name end) as desk_app_name_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_fg_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_id end) as desk_app_id_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_name end) as desk_app_name_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_anr_count,
-- -- pr_stats.owner_id,
-- -- array_length(pr_stats.owner_ids, 1) as desk_app_process_owner_id_count,
-- -- pr_stats.desk_app_process_owner_name,
-- -- array_length(pr_stats.desk_app_process_owner_names, 1) as desk_app_process_owner_name_count,
-- UX Metrics & stats
min(pr_stats.min_launch_delay_ms)/1000.0 as min_launch_delay_s,
avg(pr_stats.avg_launch_delay_ms)/1000.0 as avg_launch_delay_s,
max(pr_stats.avg_launch_delay_ms)/1000.0 as peak_avg_launch_delay_s,
avg(pr_stats.peak_launch_delay_ms)/1000.0 as avg_peak_launch_delay_s,
max(pr_stats.peak_launch_delay_ms)/1000.0 as peak_launch_delay_s,
sum(pr_stats.total_anr) as total_anr,
sum(pr_stats.total_fg_time_sec) as total_fg_time_sec,
-- avg(pr_stats.avg_cpu_percent) as avg_cpu_percent,
-- avg(pr_stats.avg_cpu_mhz) as avg_cpu_mhz,
-- -- avg(pr_stats.avg_ram_used_percent) as avg_ram_used_percent,
-- avg(avg_ram_used_mb) as avg_ram_used_mb,
-- avg(case when pr_stats.avg_pf > 0 then pr_stats.avg_pf else null end) as avg_pf,
-- avg(case when pr_stats.avg_graph > 0 then pr_stats.avg_graph else null end) as avg_graph,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb) as total_disk_io_kb,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_net_iops,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.secs_active) as avg_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb) as total_net_io_kb,
sum(pr_stats.record_count) as record_count
from (
select
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
count(distinct lstats.user_id) as user_count,
array_agg(distinct lstats.user_id) as user_ids,
-- pr_stats.session_id,
count(distinct pr_stats.session_id) as session_count,
array_agg(distinct pr_stats.session_id) as session_ids,
-- coalesce(cast(lstats.details->'session' as numeric), 0) as l_session_id,
-- pr_stats.pid,
-- count(distinct pr_stats.pid) as pid_count,
-- array_agg(distinct pr_stats.pid) as pids,
pr_stats.desk_app_id,
dapp.name as desk_app_name,
pr_stats.desk_app_process_name,
-- pr_stats.owner_id,
count(distinct pr_stats.owner_id) as owner_count,
array_agg(distinct pr_stats.owner_id) as owner_ids,
-- pr_stats.owner_name as desk_app_process_owner_name,
count(distinct pr_stats.owner_name) as desk_app_process_owner_name_count,
string_agg(distinct pr_stats.owner_name, ',') as desk_app_process_owner_names,
-- max(is_a_service) as is_a_service,
-- string_agg(distinct case
-- when (pn.os_platform = 'Windows' and upper(pr_stats.owner_name) != 'SYSTEM' and upper(pr_stats.owner_name) != 'LOCAL SERVICE' and upper(pr_stats.owner_name) != 'NETWORK SERVICE'
-- and upper(pr_stats.owner_name) IS NOT NULL and upper(pr_stats.owner_name) != 'NONE')
-- then 'User'
-- when (pn.os_platform = 'Windows' and (upper(pr_stats.owner_name) = 'SYSTEM' or upper(pr_stats.owner_name) = 'LOCAL SERVICE' or upper(pr_stats.owner_name) = 'NETWORK SERVICE'))
-- then 'System'
-- else ' '
-- end, ',') as process_user_context,
-- string_agg(distinct pr_stats.type, ',') as process_types,
-- string_agg(distinct pr_stats.category, ',') as process_category,
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- avg(pr_stats.pr_seconds) as avg_pr_seconds,
-- sum(pr_stats.pr_seconds) as total_pr_seconds,
-- UX Metrics & stats
min(pr_stats.launch_delay_ms) as min_launch_delay_ms,
avg(pr_stats.launch_delay_ms) as avg_launch_delay_ms,
max(pr_stats.launch_delay_ms) as peak_launch_delay_ms,
sum(pr_stats.anr) as total_anr,
-- max(pr_stats.desk_app_process_elevated) as desk_app_process_elevated,
sum(pr_stats.fg_time_sec) as total_fg_time_sec,
-- Resource metrics & stats
-- pn.total_cpu_alloc_mhz as total_cpu_alloc_mhz,
-- pn.alloc_mhz as cpu_alloc_mhz,
-- sum(pr_stats.avg_cpu_sys_percent * pr_stats.pr_percent_run) as avg_cpu_sys_percent,
-- least(sum(pr_stats.peak_cpu_sys_percent), 100.0) as peak_cpu_sys_percent,
-- -- max(pr_stats.peak_cpu_sys_percent) as peak_cpu_sys_percent,
-- sum(pr_stats.avg_cpu_user_percent * pr_stats.pr_percent_run) as avg_cpu_user_percent,
-- least(sum(pr_stats.peak_cpu_user_percent), 100.0) as peak_cpu_user_percent,
-- -- max(pr_stats.peak_cpu_user_percent) as peak_cpu_user_percent,
sum(pr_stats.avg_cpu_percent * pr_stats.pr_percent_run) as avg_cpu_percent,
-- least(sum(pr_stats.peak_cpu_percent), 100.0) as peak_cpu_percent,
-- -- max(pr_stats.peak_cpu_percent) as peak_cpu_percent,
-- sum(((pr_stats.avg_cpu_sys_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_sys_mhz,
-- least(sum((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_sys_mhz,
-- -- max((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0) as peak_cpu_sys_mhz,
-- sum(((pr_stats.avg_cpu_user_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_user_mhz,
-- least(sum((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_user_mhz,
-- -- max((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0) as peak_cpu_user_mhz,
sum(pr_stats.avg_cpu_mhz * pr_stats.pr_percent_run) as avg_cpu_mhz,
-- least(sum((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_mhz,
-- -- max((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0) as peak_cpu_mhz,
-- sum(pr_stats.cpu_time_ms) as total_cpu_time_ms,
-- sumrpt.mem_alloc as ram_alloc_kb,
-- sum(case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end) as avg_ram_used_percent,
-- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
sum(pr_stats.avg_ram_used_kb * pr_stats.pr_percent_run)/1024 as avg_ram_used_mb,
-- -- sum(pr_stats.avg_ram_used_kb)/1024 as avg_ram_used_mb,
-- max(pr_stats.peak_ram_used_kb)/1024 as peak_ram_used_mb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
sum(pr_stats.avg_pf * pr_stats.pr_percent_run) as avg_pf,
-- sum(pr_stats.avg_pf) as avg_pf,
-- sum(pr_stats.avg_handles * pr_stats.pr_percent_run) as avg_handles,
-- sum(pr_stats.avg_handles) as avg_handles,
-- sum(pr_stats.avg_threads * pr_stats.pr_percent_run) as avg_threads,
-- sum(pr_stats.avg_threads) as avg_threads,
sum(pr_stats.avg_graph * pr_stats.pr_percent_run) as avg_graph,
-- sum(pr_stats.peak_graph) as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
sum(pr_stats.avg_disk_io_count * pr_stats.pr_percent_run) as avg_disk_io_count,
sum((pr_stats.avg_disk_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.pcid_seconds) as avg_disk_iops2,
-- sum(pr_stats.avg_disk_iops * pr_stats.pr_percent_run) as avg_disk_iops3,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
sum(pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run) as avg_disk_io_kb,
sum((pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_rate_kbps * pr_stats.pr_percent_run) as avg_disk_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops,
sum(pr_stats.avg_net_io_count) as avg_net_io_count,
sum((pr_stats.avg_net_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_iops * pr_stats.pr_percent_run) as avg_net_iops,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
sum(pr_stats.avg_net_io_kb * pr_stats.pr_percent_run) as avg_net_io_kb,
sum((pr_stats.avg_net_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_io_rate_kbps,
avg(pr_stats.secs_active) as secs_active,
avg(pr_stats.pcid_seconds) as pcid_seconds,
count(*) as record_count
from (
select
pr_stats.node_id,
pn.machine_name,
pn.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
pr_stats.desk_app_id,
split_part(lower(pr_stats.name), '#', 1) as desk_app_process_name,
-- pr_stats.pid,
pr_stats.owner_id,
lower(pr_stats.owner_name) as owner_name,
coalesce(cast(pr_stats.details->'session' as numeric), 0) as session_id,
case when array_length(pr_stats.service_ids, 1) > 0 then 1 else 0 end as is_a_service,
-- Commenting the next few lines out for updates related to rollups/details and using secs_active instead of pr_start_time and pr_end_time.
-- See below for new lines using secs_active and pr_percent_run columns
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- Metrics & stats
(case when pr_stats.first_record is true then pr_stats.launch_delay_ms else null end) as launch_delay_ms,
(case when pr_stats.non_responsive = 't' then 1 else 0 end) as anr,
(case when pr_stats.anr_count > 0 then pr_stats.anr_count else null end) as anr_count,
(case when cast(pr_stats.details->'elevated' as boolean) is true then 1 else 0 end) as desk_app_process_elevated,
-- (case when pr_stats.elevated is true then 1 else 0 end) as desk_app_process_elevated,
case
when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
else null
end as fg_time_sec,
-- least(coalesce(pr_stats.cpu_avg_sys, 0), 100.0) as avg_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0), 100.0) as peak_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_user_percent,
-- least(coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_user_percent,
least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_percent,
(least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) * pn.alloc_mhz)/100.0 as avg_cpu_mhz,
-- (least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) * pn.alloc_mhz)/100.0 as peak_cpu_mhz,
-- (pr_stats.cpu_total_sys + pr_stats.cpu_total_user) as cpu_time_ms,
-- -- sumrpt.mem_alloc as ram_alloc_kb,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end as avg_ram_used_percent,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
pr_stats.mem_avg as avg_ram_used_kb,
-- pr_stats.mem_peak as peak_ram_used_kb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
pr_stats.pf_avg as avg_pf,
-- cast(pr_stats.details->'elevated' as boolean) as desk_app_process_elevated_bool,
cast(pr_stats.details->'handleAverage' as numeric) as avg_handles,
cast(pr_stats.details->'threadAverage' as numeric) as avg_threads,
pr_stats.graph_avg as avg_graph,
-- pr_stats.graph_peak as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
(coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0)) * pr_stats.secs_active as avg_disk_io_count,
coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0) as avg_disk_iops,
-- coalesce(pr_stats.read_iops_peak, 0) + coalesce(pr_stats.write_iops_peak, 0) as peak_disk_iops,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) * pr_stats.secs_active as avg_disk_io_kb,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) as avg_disk_io_rate_kbps,
-- (coalesce(pr_stats.read_io_peak, 0) + coalesce(pr_stats.write_io_peak, 0)) * 1024 as peak_disk_io_rate_bytesps,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_kb,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) as avg_net_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops
(coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_count,
coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0) as avg_net_iops,
-- Not available in rollup
-- pr_stats.type,
-- pr_stats.category,
greatest(pr_stats.secs_active, 1) / greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pr_percent_run,
greatest(pr_stats.secs_active, 1)::int as secs_active,
greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pcid_seconds
from
tnt_audit.summaryreport_process_stats pr_stats
-- Join to policynode, node, and os to get relevant information
-- Todo: use a with clause to pull this only once
join (
select
pn.id as node_id,
pn.name as machine_name,
nde.fqmn as machine_fqmn,
nde.os_id,
os.name as os_platform,
nde.ihostversion,
case when nde.vmtype is null then 0 else 1 end as is_vm,
nde.vmtype,
count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_count,
avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_cores,
avg(nhcpu.logical_cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_v_cores,
avg(nhcpu.speed_mhz) as avg_cpu_alloc_mhz,
-- avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
-- case when os.name = 'Windows'
-- -- then avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- then avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- else avg(nhcpu.speed_mhz)
-- end as alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as alloc_mhz
-- count(distinct nhdisp.hardware_id || '-' || nhdisp.id) as total_monitor_count
from
tnt_config.policynode pn
join tnt_config.node nde on (nde.id = pn.id and nde.delete_time is null)
join tnt_config.node_hardware_cpus nhcpu on (nhcpu.hardware_id = nde.hardware_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.node_hardware_displays nhdisp on (nhdisp.hardware_id = nde.hardware_id)
where
pn.delete_time is null
and pn.type <= 2
-- and pn.name ilike 'desktop-c65gr6p'
group by
pn.id,
nde.id,
os.id
) pn on (pn.node_id = pr_stats.node_id)
where
-- Process Date filter
(pr_stats.end_date between ? and ?)
-- Process Machine group filer
and ('%' = ? or pr_stats.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
-- and pr_stats.node_id = 17586 -- desktop-c65gr6p on devhub
-- and pr_stats.node_id = 17583 -- atl-l1582 on devhub
-- and (pr_stats.name ilike 'chrome')
-- and (pr_stats.name ilike 'camtasiastudio%')
-- and (pr_stats.name ilike 'svchost%')
-- order by
-- pr_stats.end_date asc
) pr_stats
join tnt_config.desktop_app dapp on (dapp.id = pr_stats.desk_app_id) -- and dapp.name ilike 'FileZilla 3.65%')
left outer join tnt_audit.summaryreport_login_stats lstats on (
lstats.node_id = pr_stats.node_id
and lstats.start_date = pr_stats.start_date
and lstats.end_date = pr_stats.end_date
-- and cast(lstats.details->'session' as numeric) = cast(pr_stats.details->'session' as numeric)
and cast(lstats.details->'session' as numeric) = pr_stats.session_id
and (lstats.start_date between ? and ? or
lstats.end_date between ? and ?)
)
left outer join tnt_config.policyidentity pi on (pi.id = lstats.user_id and pi.delete_time is null and pi.type = 1)
where
-- Summary User Group filter
('%' = ? or lstats.user_id is null or lstats.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name ilike ?)))
group by
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
-- pr_stats.session_id,
pr_stats.desk_app_id,
dapp.id,
pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.owner_name
-- order by
-- end_date asc
) pr_stats
-- where
-- pr_stats.node_id = s.node_id
-- group by
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- pr_stats.session_id,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.desk_app_process_owner_name
-- order by
-- avg_cpu_mhz desc
-- limit 5
) pr_stats_t1 on (true)
-- Process stats
left join lateral (
-- Filename: UX.App.ProcessStats.CIDLevel.v3.sql
select
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- count(distinct pr_stats.user_id) as user_count,
-- -- array_to_string(pr_stats.user_ids, ',') as user_count,
-- -- pr_stats.session_id,
-- -- count(distinct pr_stats.session_id) as session_count,
-- -- array_length(pr_stats.session_ids, 1) as session_count,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name,
count(distinct pr_stats.desk_app_id) as desk_app_id_count,
count(distinct pr_stats.desk_app_name) as desk_app_name_count,
count(distinct pr_stats.desk_app_process_name) as desk_app_process_name_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_id end) as desk_app_id_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_name end) as desk_app_name_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_fg_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_id end) as desk_app_id_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_name end) as desk_app_name_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_anr_count,
-- -- pr_stats.owner_id,
-- -- array_length(pr_stats.owner_ids, 1) as desk_app_process_owner_id_count,
-- -- pr_stats.desk_app_process_owner_name,
-- -- array_length(pr_stats.desk_app_process_owner_names, 1) as desk_app_process_owner_name_count,
-- UX Metrics & stats
min(pr_stats.min_launch_delay_ms)/1000.0 as min_launch_delay_s,
avg(pr_stats.avg_launch_delay_ms)/1000.0 as avg_launch_delay_s,
max(pr_stats.avg_launch_delay_ms)/1000.0 as peak_avg_launch_delay_s,
avg(pr_stats.peak_launch_delay_ms)/1000.0 as avg_peak_launch_delay_s,
max(pr_stats.peak_launch_delay_ms)/1000.0 as peak_launch_delay_s,
sum(pr_stats.total_anr) as total_anr,
sum(pr_stats.total_fg_time_sec) as total_fg_time_sec,
-- avg(pr_stats.avg_cpu_percent) as avg_cpu_percent,
-- avg(pr_stats.avg_cpu_mhz) as avg_cpu_mhz,
-- -- avg(pr_stats.avg_ram_used_percent) as avg_ram_used_percent,
-- avg(avg_ram_used_mb) as avg_ram_used_mb,
-- avg(case when pr_stats.avg_pf > 0 then pr_stats.avg_pf else null end) as avg_pf,
-- avg(case when pr_stats.avg_graph > 0 then pr_stats.avg_graph else null end) as avg_graph,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb) as total_disk_io_kb,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_net_iops,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.secs_active) as avg_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb) as total_net_io_kb,
sum(pr_stats.record_count) as record_count
from (
select
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
count(distinct lstats.user_id) as user_count,
array_agg(distinct lstats.user_id) as user_ids,
-- pr_stats.session_id,
count(distinct pr_stats.session_id) as session_count,
array_agg(distinct pr_stats.session_id) as session_ids,
-- coalesce(cast(lstats.details->'session' as numeric), 0) as l_session_id,
-- pr_stats.pid,
-- count(distinct pr_stats.pid) as pid_count,
-- array_agg(distinct pr_stats.pid) as pids,
pr_stats.desk_app_id,
dapp.name as desk_app_name,
pr_stats.desk_app_process_name,
-- pr_stats.owner_id,
count(distinct pr_stats.owner_id) as owner_count,
array_agg(distinct pr_stats.owner_id) as owner_ids,
-- pr_stats.owner_name as desk_app_process_owner_name,
count(distinct pr_stats.owner_name) as desk_app_process_owner_name_count,
string_agg(distinct pr_stats.owner_name, ',') as desk_app_process_owner_names,
-- max(is_a_service) as is_a_service,
-- string_agg(distinct case
-- when (pn.os_platform = 'Windows' and upper(pr_stats.owner_name) != 'SYSTEM' and upper(pr_stats.owner_name) != 'LOCAL SERVICE' and upper(pr_stats.owner_name) != 'NETWORK SERVICE'
-- and upper(pr_stats.owner_name) IS NOT NULL and upper(pr_stats.owner_name) != 'NONE')
-- then 'User'
-- when (pn.os_platform = 'Windows' and (upper(pr_stats.owner_name) = 'SYSTEM' or upper(pr_stats.owner_name) = 'LOCAL SERVICE' or upper(pr_stats.owner_name) = 'NETWORK SERVICE'))
-- then 'System'
-- else ' '
-- end, ',') as process_user_context,
-- string_agg(distinct pr_stats.type, ',') as process_types,
-- string_agg(distinct pr_stats.category, ',') as process_category,
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- avg(pr_stats.pr_seconds) as avg_pr_seconds,
-- sum(pr_stats.pr_seconds) as total_pr_seconds,
-- UX Metrics & stats
min(pr_stats.launch_delay_ms) as min_launch_delay_ms,
avg(pr_stats.launch_delay_ms) as avg_launch_delay_ms,
max(pr_stats.launch_delay_ms) as peak_launch_delay_ms,
sum(pr_stats.anr) as total_anr,
-- max(pr_stats.desk_app_process_elevated) as desk_app_process_elevated,
sum(pr_stats.fg_time_sec) as total_fg_time_sec,
-- Resource metrics & stats
-- pn.total_cpu_alloc_mhz as total_cpu_alloc_mhz,
-- pn.alloc_mhz as cpu_alloc_mhz,
-- sum(pr_stats.avg_cpu_sys_percent * pr_stats.pr_percent_run) as avg_cpu_sys_percent,
-- least(sum(pr_stats.peak_cpu_sys_percent), 100.0) as peak_cpu_sys_percent,
-- -- max(pr_stats.peak_cpu_sys_percent) as peak_cpu_sys_percent,
-- sum(pr_stats.avg_cpu_user_percent * pr_stats.pr_percent_run) as avg_cpu_user_percent,
-- least(sum(pr_stats.peak_cpu_user_percent), 100.0) as peak_cpu_user_percent,
-- -- max(pr_stats.peak_cpu_user_percent) as peak_cpu_user_percent,
sum(pr_stats.avg_cpu_percent * pr_stats.pr_percent_run) as avg_cpu_percent,
-- least(sum(pr_stats.peak_cpu_percent), 100.0) as peak_cpu_percent,
-- -- max(pr_stats.peak_cpu_percent) as peak_cpu_percent,
-- sum(((pr_stats.avg_cpu_sys_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_sys_mhz,
-- least(sum((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_sys_mhz,
-- -- max((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0) as peak_cpu_sys_mhz,
-- sum(((pr_stats.avg_cpu_user_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_user_mhz,
-- least(sum((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_user_mhz,
-- -- max((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0) as peak_cpu_user_mhz,
sum(pr_stats.avg_cpu_mhz * pr_stats.pr_percent_run) as avg_cpu_mhz,
-- least(sum((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_mhz,
-- -- max((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0) as peak_cpu_mhz,
-- sum(pr_stats.cpu_time_ms) as total_cpu_time_ms,
-- sumrpt.mem_alloc as ram_alloc_kb,
-- sum(case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end) as avg_ram_used_percent,
-- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
sum(pr_stats.avg_ram_used_kb * pr_stats.pr_percent_run)/1024 as avg_ram_used_mb,
-- -- sum(pr_stats.avg_ram_used_kb)/1024 as avg_ram_used_mb,
-- max(pr_stats.peak_ram_used_kb)/1024 as peak_ram_used_mb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
sum(pr_stats.avg_pf * pr_stats.pr_percent_run) as avg_pf,
-- sum(pr_stats.avg_pf) as avg_pf,
-- sum(pr_stats.avg_handles * pr_stats.pr_percent_run) as avg_handles,
-- sum(pr_stats.avg_handles) as avg_handles,
-- sum(pr_stats.avg_threads * pr_stats.pr_percent_run) as avg_threads,
-- sum(pr_stats.avg_threads) as avg_threads,
sum(pr_stats.avg_graph * pr_stats.pr_percent_run) as avg_graph,
-- sum(pr_stats.peak_graph) as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
sum(pr_stats.avg_disk_io_count * pr_stats.pr_percent_run) as avg_disk_io_count,
sum((pr_stats.avg_disk_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.pcid_seconds) as avg_disk_iops2,
-- sum(pr_stats.avg_disk_iops * pr_stats.pr_percent_run) as avg_disk_iops3,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
sum(pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run) as avg_disk_io_kb,
sum((pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_rate_kbps * pr_stats.pr_percent_run) as avg_disk_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops,
sum(pr_stats.avg_net_io_count) as avg_net_io_count,
sum((pr_stats.avg_net_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_iops * pr_stats.pr_percent_run) as avg_net_iops,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
sum(pr_stats.avg_net_io_kb * pr_stats.pr_percent_run) as avg_net_io_kb,
sum((pr_stats.avg_net_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_io_rate_kbps,
-- psnd.sendkbtotal,
-- psnd.receivekbtotal,
-- psnd.pinglatencymsavg,
-- psnd.jitteravg,
avg(pr_stats.secs_active) as secs_active,
avg(pr_stats.pcid_seconds) as pcid_seconds,
count(*) as record_count
from (
select
pr_stats.node_id,
pn.machine_name,
pn.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
pr_stats.desk_app_id,
split_part(lower(pr_stats.name), '#', 1) as desk_app_process_name,
-- pr_stats.pid,
pr_stats.owner_id,
lower(pr_stats.owner_name) as owner_name,
coalesce(cast(pr_stats.details->'session' as numeric), 0) as session_id,
case when array_length(pr_stats.service_ids, 1) > 0 then 1 else 0 end as is_a_service,
-- Commenting the next few lines out for updates related to rollups/details and using secs_active instead of pr_start_time and pr_end_time.
-- See below for new lines using secs_active and pr_percent_run columns
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- extract(epoch from pr_stats.end_date - pr_stats.start_date) as cid_seconds,
-- Metrics & stats
(case when pr_stats.first_record is true then pr_stats.launch_delay_ms else null end) as launch_delay_ms,
(case when pr_stats.non_responsive = 't' then 1 else 0 end) as anr,
(case when pr_stats.anr_count > 0 then pr_stats.anr_count else null end) as anr_count,
(case when cast(pr_stats.details->'elevated' as boolean) is true then 1 else 0 end) as desk_app_process_elevated,
-- (case when pr_stats.elevated is true then 1 else 0 end) as desk_app_process_elevated,
case
when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
else null
end as fg_time_sec,
-- least(coalesce(pr_stats.cpu_avg_sys, 0), 100.0) as avg_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0), 100.0) as peak_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_user_percent,
-- least(coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_user_percent,
least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_percent,
(least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) * pn.alloc_mhz)/100.0 as avg_cpu_mhz,
-- (least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) * pn.alloc_mhz)/100.0 as peak_cpu_mhz,
-- (pr_stats.cpu_total_sys + pr_stats.cpu_total_user) as cpu_time_ms,
-- -- sumrpt.mem_alloc as ram_alloc_kb,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end as avg_ram_used_percent,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
pr_stats.mem_avg as avg_ram_used_kb,
-- pr_stats.mem_peak as peak_ram_used_kb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
pr_stats.pf_avg as avg_pf,
-- cast(pr_stats.details->'elevated' as boolean) as desk_app_process_elevated_bool,
cast(pr_stats.details->'handleAverage' as numeric) as avg_handles,
cast(pr_stats.details->'threadAverage' as numeric) as avg_threads,
pr_stats.graph_avg as avg_graph,
-- pr_stats.graph_peak as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
(coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0)) * pr_stats.secs_active as avg_disk_io_count,
coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0) as avg_disk_iops,
-- coalesce(pr_stats.read_iops_peak, 0) + coalesce(pr_stats.write_iops_peak, 0) as peak_disk_iops,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) * pr_stats.secs_active as avg_disk_io_kb,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) as avg_disk_io_rate_kbps,
-- (coalesce(pr_stats.read_io_peak, 0) + coalesce(pr_stats.write_io_peak, 0)) * 1024 as peak_disk_io_rate_bytesps,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_kb,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) as avg_net_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops
(coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_count,
coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0) as avg_net_iops,
-- Not available in rollup
-- pr_stats.type,
-- pr_stats.category,
greatest(pr_stats.secs_active, 1) / greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pr_percent_run,
greatest(pr_stats.secs_active, 1)::int as secs_active,
greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pcid_seconds
from
tnt_audit.summaryreport_process_stats pr_stats
-- Join to policynode, node, and os to get relevant information
-- Todo: use a with clause to pull this only once
join (
select
pn.id as node_id,
pn.name as machine_name,
nde.fqmn as machine_fqmn,
nde.os_id,
os.name as os_platform,
nde.ihostversion,
case when nde.vmtype is null then 0 else 1 end as is_vm,
nde.vmtype,
count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_count,
avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_cores,
avg(nhcpu.logical_cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_v_cores,
avg(nhcpu.speed_mhz) as avg_cpu_alloc_mhz,
-- avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
-- case when os.name = 'Windows'
-- -- then avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- then avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- else avg(nhcpu.speed_mhz)
-- end as alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as alloc_mhz
-- count(distinct nhdisp.hardware_id || '-' || nhdisp.id) as total_monitor_count
from
tnt_config.policynode pn
join tnt_config.node nde on (nde.id = pn.id and nde.delete_time is null)
join tnt_config.node_hardware_cpus nhcpu on (nhcpu.hardware_id = nde.hardware_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.node_hardware_displays nhdisp on (nhdisp.hardware_id = nde.hardware_id)
where
pn.delete_time is null
and pn.type <= 2
-- and pn.name ilike 'desktop-c65gr6p'
group by
pn.id,
nde.id,
os.id
) pn on (pn.node_id = pr_stats.node_id)
where
-- Process Date filter
(pr_stats.end_date between ? and ?)
-- Process Machine group filer
and ('%' = ? or pr_stats.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
-- and pr_stats.node_id = 17586 -- desktop-c65gr6p on devhub
-- and pr_stats.node_id = 17583 -- atl-l1582 on devhub
-- and (pr_stats.name ilike 'chrome')
-- and (pr_stats.name ilike 'camtasiastudio%')
-- and (pr_stats.name ilike 'svchost%')
-- order by
-- pr_stats.end_date asc
) pr_stats
join tnt_config.desktop_app dapp on (dapp.id = pr_stats.desk_app_id) -- and dapp.name ilike 'FileZilla 3.65%')
left outer join tnt_audit.summaryreport_login_stats lstats on (
lstats.node_id = pr_stats.node_id
and lstats.start_date = pr_stats.start_date
and lstats.end_date = pr_stats.end_date
-- and cast(lstats.details->'session' as numeric) = cast(pr_stats.details->'session' as numeric)
and cast(lstats.details->'session' as numeric) = pr_stats.session_id
and (lstats.start_date between ? and ? or
lstats.end_date between ? and ?)
)
left outer join tnt_config.policyidentity pi on (pi.id = lstats.user_id and pi.delete_time is null and pi.type = 1)
where
-- Summary User Group filter
('%' = ? or lstats.user_id is null or lstats.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name ilike ?)))
group by
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
-- pr_stats.session_id,
pr_stats.desk_app_id,
dapp.id,
pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.owner_name
-- order by
-- end_date asc
) pr_stats
-- where
-- pr_stats.node_id = s.node_id
-- group by
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- pr_stats.session_id,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.desk_app_process_owner_name
-- order by
-- avg_cpu_mhz desc
-- limit 5
) pr_stats_t2 on (true)
left outer join (
select
(case when license.machine_license_count > 0 then 'License' else 'Registered' end) as machine_label,
max(pn.machine_registered_count) as machine_registered_count,
max(case when license.machine_license_count > 0 then license.machine_license_count end) as machine_license_count,
max(case when license.machine_license_count > 0 then license.machine_license_count else pn.machine_registered_count end) as machine_total_count,
(case when license.user_license_count > 0 then 'License' else 'Registered' end) as user_label,
max(pi.user_registered_count) as user_registered_count,
max(case when license.user_license_count > 0 then license.user_license_count end) as user_license_count,
max(case when license.user_license_count > 0 then license.user_license_count else pi.user_registered_count end) as user_total_count
from (
select
count(distinct pn.id) as machine_registered_count
from
tnt_config.policynode pn
join tnt_config.node nde on (nde.id = pn.id and nde.delete_time is null and nde.ihostversion is not null)
where
pn.delete_time is null
and pn.type <= 2
) pn
left outer join (
select
count(distinct pi.id) as user_registered_count
from
tnt_config.policyidentity pi
join tnt_config.identity id on (id.id = pi.id and id.last_login_time is not null)
where
pi.delete_time is null
and pi.type = 1
) pi on (true)
left outer join (
select
(xpath('/license/maxNodes/text()', license_xml))[1]::text::int as machine_license_count,
(xpath('/license/maxUsers/text()', license_xml))[1]::text::int as user_license_count
from (
select
(convert_from(decode(license, 'base64'), 'utf-8'))::xml as license_xml
from
tnt_config.globaloptions
) license
) license on (true)
group by
machine_label,
user_label
) license on (true)
left outer join (
select
count(distinct case when ux.vdi_ux_overall >= 2.75 then ux.node_id end) as machines_ux_good_count,
count(distinct case when ux.vdi_ux_overall >= 1.75 and ux.vdi_ux_overall < 2.75 then ux.node_id end) as machines_ux_fair_count,
count(distinct case when ux.vdi_ux_overall < 1.75 then ux.node_id end) as machines_ux_poor_count
from (
select
s.node_id,
avg(s.vdi_ux_overall) as vdi_ux_overall
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
group by
s.node_id
) ux
) ux_t1 on (true)
left outer join (
select
count(distinct case when ux.vdi_ux_overall >= 2.75 then ux.node_id end) as machines_ux_good_count,
count(distinct case when ux.vdi_ux_overall >= 1.75 and ux.vdi_ux_overall < 2.75 then ux.node_id end) as machines_ux_fair_count,
count(distinct case when ux.vdi_ux_overall < 1.75 then ux.node_id end) as machines_ux_poor_count
from (
select
s.node_id,
avg(s.vdi_ux_overall) as vdi_ux_overall
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
group by
s.node_id
) ux
) ux_t2 on (true)
;]]>2.0In19300UnknownIn29300UnknownIn31200UnknownIn41200UnknownIn51200UnknownIn61200UnknownIn79300UnknownIn89300UnknownIn91200UnknownIn101200UnknownIn111200UnknownIn121200UnknownIn139300UnknownIn149300UnknownIn151200UnknownIn161200UnknownIn179300UnknownIn189300UnknownIn191200UnknownIn201200UnknownIn219300UnknownIn229300UnknownIn231200UnknownIn241200UnknownIn251200UnknownIn261200UnknownIn279300UnknownIn289300UnknownIn291200UnknownIn301200UnknownIn311200UnknownIn321200UnknownIn339300UnknownIn349300UnknownIn351200UnknownIn361200UnknownIn379300UnknownIn389300UnknownIn391200UnknownIn401200UnknownIn419300UnknownIn429300UnknownIn439300UnknownIn449300UnknownIn451200UnknownIn461200UnknownIn479300UnknownIn489300UnknownIn499300UnknownIn509300UnknownIn511200UnknownIn521200UnknownIn539300UnknownIn549300UnknownIn559300UnknownIn569300UnknownIn571200UnknownIn581200UnknownIn599300UnknownIn609300UnknownIn619300UnknownIn629300UnknownIn631200UnknownIn641200UnknownIn659300UnknownIn669300UnknownIn671200UnknownIn681200UnknownIn691200UnknownIn701200UnknownIn719300UnknownIn729300UnknownIn731200UnknownIn741200UnknownIn751200UnknownIn761200Unknownuser_count_t11-5190Unknownuser_count_t1user_count_t120user_count_t22-5190Unknownuser_count_t2user_count_t220machine_count_t13-5190Unknownmachine_count_t1machine_count_t120machine_count_t24-5190Unknownmachine_count_t2machine_count_t220worst_ux_score_t1581717Unknownworst_ux_score_t1worst_ux_score_t125worst_ux_score_t2681717Unknownworst_ux_score_t2worst_ux_score_t225avg_ux_score_t1781717Unknownavg_ux_score_t1avg_ux_score_t125avg_ux_score_t2881717Unknownavg_ux_score_t2avg_ux_score_t225best_ux_score_t1981717Unknownbest_ux_score_t1best_ux_score_t125best_ux_score_t21081717Unknownbest_ux_score_t2best_ux_score_t225avg_cpu_percent_t11181717Unknownavg_cpu_percent_t1avg_cpu_percent_t125avg_cpu_percent_t21281717Unknownavg_cpu_percent_t2avg_cpu_percent_t225avg_peak_cpu_percent_t11381717Unknownavg_peak_cpu_percent_t1avg_peak_cpu_percent_t125avg_peak_cpu_percent_t21481717Unknownavg_peak_cpu_percent_t2avg_peak_cpu_percent_t225avg_cpu_queue_t11581717Unknownavg_cpu_queue_t1avg_cpu_queue_t125avg_cpu_queue_t21681717Unknownavg_cpu_queue_t2avg_cpu_queue_t225peak_avg_cpu_queue_t11781717Unknownpeak_avg_cpu_queue_t1peak_avg_cpu_queue_t125peak_avg_cpu_queue_t21881717Unknownpeak_avg_cpu_queue_t2peak_avg_cpu_queue_t225avg_peak_cpu_queue_t11981717Unknownavg_peak_cpu_queue_t1avg_peak_cpu_queue_t125avg_peak_cpu_queue_t22081717Unknownavg_peak_cpu_queue_t2avg_peak_cpu_queue_t225peak_cpu_queue_t12181717Unknownpeak_cpu_queue_t1peak_cpu_queue_t125peak_cpu_queue_t22281717Unknownpeak_cpu_queue_t2peak_cpu_queue_t225avg_ram_percent_t12381717Unknownavg_ram_percent_t1avg_ram_percent_t125avg_ram_percent_t22481717Unknownavg_ram_percent_t2avg_ram_percent_t225peak_avg_ram_percent_t12581717Unknownpeak_avg_ram_percent_t1peak_avg_ram_percent_t125peak_avg_ram_percent_t22681717Unknownpeak_avg_ram_percent_t2peak_avg_ram_percent_t225avg_peak_ram_percent_t12781717Unknownavg_peak_ram_percent_t1avg_peak_ram_percent_t125avg_peak_ram_percent_t22881717Unknownavg_peak_ram_percent_t2avg_peak_ram_percent_t225peak_ram_percent_t12981717Unknownpeak_ram_percent_t1peak_ram_percent_t125peak_ram_percent_t23081717Unknownpeak_ram_percent_t2peak_ram_percent_t225total_app_anr_t131-5190Unknowntotal_app_anr_t1total_app_anr_t120total_app_anr_t232-5190Unknowntotal_app_anr_t2total_app_anr_t220avg_app_launch_delay_s_t13381717Unknownavg_app_launch_delay_s_t1avg_app_launch_delay_s_t125avg_app_launch_delay_s_t23481717Unknownavg_app_launch_delay_s_t2avg_app_launch_delay_s_t225peak_avg_app_launch_delay_s_t13581717Unknownpeak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t125peak_avg_app_launch_delay_s_t23681717Unknownpeak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t225host_count_t137-5190Unknownhost_count_t1host_count_t120host_count_t238-5190Unknownhost_count_t2host_count_t220]]>avg_ux_rating_t1convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t1"], 2));stringavg_ux_rating_t2convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t2"], 2));stringuser_count_t1measureuser_count_t1user_count_t1user_count_t2measureuser_count_t2user_count_t2machine_count_t1measuremachine_count_t1machine_count_t1machine_count_t2measuremachine_count_t2machine_count_t2worst_ux_score_t1measureworst_ux_score_t1worst_ux_score_t1worst_ux_score_t2measureworst_ux_score_t2worst_ux_score_t2avg_ux_score_t1measureavg_ux_score_t1avg_ux_score_t1avg_ux_score_t2measureavg_ux_score_t2avg_ux_score_t2best_ux_score_t1measurebest_ux_score_t1best_ux_score_t1best_ux_score_t2measurebest_ux_score_t2best_ux_score_t2avg_cpu_percent_t1measureavg_cpu_percent_t1avg_cpu_percent_t1avg_cpu_percent_t2measureavg_cpu_percent_t2avg_cpu_percent_t2avg_peak_cpu_percent_t1measureavg_peak_cpu_percent_t1avg_peak_cpu_percent_t1avg_peak_cpu_percent_t2measureavg_peak_cpu_percent_t2avg_peak_cpu_percent_t2avg_cpu_queue_t1measureavg_cpu_queue_t1avg_cpu_queue_t1avg_cpu_queue_t2measureavg_cpu_queue_t2avg_cpu_queue_t2peak_avg_cpu_queue_t1measurepeak_avg_cpu_queue_t1peak_avg_cpu_queue_t1peak_avg_cpu_queue_t2measurepeak_avg_cpu_queue_t2peak_avg_cpu_queue_t2avg_peak_cpu_queue_t1measureavg_peak_cpu_queue_t1avg_peak_cpu_queue_t1avg_peak_cpu_queue_t2measureavg_peak_cpu_queue_t2avg_peak_cpu_queue_t2peak_cpu_queue_t1measurepeak_cpu_queue_t1peak_cpu_queue_t1peak_cpu_queue_t2measurepeak_cpu_queue_t2peak_cpu_queue_t2avg_ram_percent_t1measureavg_ram_percent_t1avg_ram_percent_t1avg_ram_percent_t2measureavg_ram_percent_t2avg_ram_percent_t2peak_avg_ram_percent_t1measurepeak_avg_ram_percent_t1peak_avg_ram_percent_t1peak_avg_ram_percent_t2measurepeak_avg_ram_percent_t2peak_avg_ram_percent_t2avg_peak_ram_percent_t1measureavg_peak_ram_percent_t1avg_peak_ram_percent_t1avg_peak_ram_percent_t2measureavg_peak_ram_percent_t2avg_peak_ram_percent_t2peak_ram_percent_t1measurepeak_ram_percent_t1peak_ram_percent_t1peak_ram_percent_t2measurepeak_ram_percent_t2peak_ram_percent_t2total_app_anr_t1measuretotal_app_anr_t1total_app_anr_t1total_app_anr_t2measuretotal_app_anr_t2total_app_anr_t2avg_app_launch_delay_s_t1measureavg_app_launch_delay_s_t1avg_app_launch_delay_s_t1avg_app_launch_delay_s_t2measureavg_app_launch_delay_s_t2avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t1measurepeak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t2measurepeak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t2host_count_t1measurehost_count_t1host_count_t1host_count_t2measurehost_count_t2host_count_t2param_1StartTimedateTime931truefalseparam_2EndTimedateTime932truefalseparam_3UserGroupstring123truefalseparam_4UserGroupstring124truefalseparam_5MachineGroupstring125truefalseparam_6MachineGroupstring126truefalseparam_7CompStartTimedateTime937truefalseparam_8CompEndTimedateTime938truefalseparam_9UserGroupstring129truefalseparam_10UserGroupstring1210truefalseparam_11MachineGroupstring1211truefalseparam_12MachineGroupstring1212truefalse1user_count_t1decimal2user_count_t2decimal3machine_count_t1decimal4machine_count_t2decimal5worst_ux_score_t1float6worst_ux_score_t2float7avg_ux_score_t1float8avg_ux_score_t2float9best_ux_score_t1float10best_ux_score_t2float11avg_cpu_percent_t1float12avg_cpu_percent_t2float13avg_peak_cpu_percent_t1float14avg_peak_cpu_percent_t2float15avg_cpu_queue_t1float16avg_cpu_queue_t2float17peak_avg_cpu_queue_t1float18peak_avg_cpu_queue_t2float19avg_peak_cpu_queue_t1float20avg_peak_cpu_queue_t2float21peak_cpu_queue_t1float22peak_cpu_queue_t2float23avg_ram_percent_t1float24avg_ram_percent_t2float25peak_avg_ram_percent_t1float26peak_avg_ram_percent_t2float27avg_peak_ram_percent_t1float28avg_peak_ram_percent_t2float29peak_ram_percent_t1float30peak_ram_percent_t2float31total_app_anr_t1decimal32total_app_anr_t2decimal33avg_app_launch_delay_s_t1float34avg_app_launch_delay_s_t2float35peak_avg_app_launch_delay_s_t1float36peak_avg_app_launch_delay_s_t2float37host_count_t1decimal38host_count_t2decimal39avg_ux_rating_t1string40avg_ux_rating_t2stringPortal1user_count_t1user_count_t1decimal-52user_count_t2user_count_t2decimal-53machine_count_t1machine_count_t1decimal-54machine_count_t2machine_count_t2decimal-55worst_ux_score_t1worst_ux_score_t1float86worst_ux_score_t2worst_ux_score_t2float87avg_ux_score_t1avg_ux_score_t1float88avg_ux_score_t2avg_ux_score_t2float89best_ux_score_t1best_ux_score_t1float810best_ux_score_t2best_ux_score_t2float811avg_cpu_percent_t1avg_cpu_percent_t1float812avg_cpu_percent_t2avg_cpu_percent_t2float813avg_peak_cpu_percent_t1avg_peak_cpu_percent_t1float814avg_peak_cpu_percent_t2avg_peak_cpu_percent_t2float815avg_cpu_queue_t1avg_cpu_queue_t1float816avg_cpu_queue_t2avg_cpu_queue_t2float817peak_avg_cpu_queue_t1peak_avg_cpu_queue_t1float818peak_avg_cpu_queue_t2peak_avg_cpu_queue_t2float819avg_peak_cpu_queue_t1avg_peak_cpu_queue_t1float820avg_peak_cpu_queue_t2avg_peak_cpu_queue_t2float821peak_cpu_queue_t1peak_cpu_queue_t1float822peak_cpu_queue_t2peak_cpu_queue_t2float823avg_ram_percent_t1avg_ram_percent_t1float824avg_ram_percent_t2avg_ram_percent_t2float825peak_avg_ram_percent_t1peak_avg_ram_percent_t1float826peak_avg_ram_percent_t2peak_avg_ram_percent_t2float827avg_peak_ram_percent_t1avg_peak_ram_percent_t1float828avg_peak_ram_percent_t2avg_peak_ram_percent_t2float829peak_ram_percent_t1peak_ram_percent_t1float830peak_ram_percent_t2peak_ram_percent_t2float831total_app_anr_t1total_app_anr_t1decimal-532total_app_anr_t2total_app_anr_t2decimal-533avg_app_launch_delay_s_t1avg_app_launch_delay_s_t1float834avg_app_launch_delay_s_t2avg_app_launch_delay_s_t2float835peak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t1float836peak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t2float837host_count_t1host_count_t1decimal-538host_count_t2host_count_t2decimal-5 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
sum(s.total_app_anr) as total_app_anr,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
count(distinct s.vmhost_id) as host_count
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
) s_t1
left outer join (
select
count(distinct s.user_id) as user_count,
count(distinct s.node_id) as machine_count,
min(s.vdi_ux_overall) as worst_ux_score,
avg(s.vdi_ux_overall) as avg_ux_score,
max(s.vdi_ux_overall) as best_ux_score,
avg(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as avg_cpu_percent,
max(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as peak_avg_cpu_percent,
avg(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as avg_peak_cpu_percent,
max(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as peak_cpu_percent,
avg(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
sum(s.total_app_anr) as total_app_anr,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
count(distinct s.vmhost_id) as host_count
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
) s_t2 on (true)
]]>2.0In19300UnknownIn29300UnknownIn31200UnknownIn41200UnknownIn51200UnknownIn61200UnknownIn79300UnknownIn89300UnknownIn91200UnknownIn101200UnknownIn111200UnknownIn121200Unknownuser_count_t11-5190Unknownuser_count_t1user_count_t120user_count_t22-5190Unknownuser_count_t2user_count_t220machine_count_t13-5190Unknownmachine_count_t1machine_count_t120machine_count_t24-5190Unknownmachine_count_t2machine_count_t220worst_ux_score_t1581717Unknownworst_ux_score_t1worst_ux_score_t125worst_ux_score_t2681717Unknownworst_ux_score_t2worst_ux_score_t225avg_ux_score_t1781717Unknownavg_ux_score_t1avg_ux_score_t125avg_ux_score_t2881717Unknownavg_ux_score_t2avg_ux_score_t225best_ux_score_t1981717Unknownbest_ux_score_t1best_ux_score_t125best_ux_score_t21081717Unknownbest_ux_score_t2best_ux_score_t225avg_cpu_percent_t11181717Unknownavg_cpu_percent_t1avg_cpu_percent_t125avg_cpu_percent_t21281717Unknownavg_cpu_percent_t2avg_cpu_percent_t225avg_peak_cpu_percent_t11381717Unknownavg_peak_cpu_percent_t1avg_peak_cpu_percent_t125avg_peak_cpu_percent_t21481717Unknownavg_peak_cpu_percent_t2avg_peak_cpu_percent_t225avg_cpu_queue_t11581717Unknownavg_cpu_queue_t1avg_cpu_queue_t125avg_cpu_queue_t21681717Unknownavg_cpu_queue_t2avg_cpu_queue_t225peak_avg_cpu_queue_t11781717Unknownpeak_avg_cpu_queue_t1peak_avg_cpu_queue_t125peak_avg_cpu_queue_t21881717Unknownpeak_avg_cpu_queue_t2peak_avg_cpu_queue_t225avg_peak_cpu_queue_t11981717Unknownavg_peak_cpu_queue_t1avg_peak_cpu_queue_t125avg_peak_cpu_queue_t22081717Unknownavg_peak_cpu_queue_t2avg_peak_cpu_queue_t225peak_cpu_queue_t12181717Unknownpeak_cpu_queue_t1peak_cpu_queue_t125peak_cpu_queue_t22281717Unknownpeak_cpu_queue_t2peak_cpu_queue_t225avg_ram_percent_t12381717Unknownavg_ram_percent_t1avg_ram_percent_t125avg_ram_percent_t22481717Unknownavg_ram_percent_t2avg_ram_percent_t225peak_avg_ram_percent_t12581717Unknownpeak_avg_ram_percent_t1peak_avg_ram_percent_t125peak_avg_ram_percent_t22681717Unknownpeak_avg_ram_percent_t2peak_avg_ram_percent_t225avg_peak_ram_percent_t12781717Unknownavg_peak_ram_percent_t1avg_peak_ram_percent_t125avg_peak_ram_percent_t22881717Unknownavg_peak_ram_percent_t2avg_peak_ram_percent_t225peak_ram_percent_t12981717Unknownpeak_ram_percent_t1peak_ram_percent_t125peak_ram_percent_t23081717Unknownpeak_ram_percent_t2peak_ram_percent_t225total_app_anr_t131-5190Unknowntotal_app_anr_t1total_app_anr_t120total_app_anr_t232-5190Unknowntotal_app_anr_t2total_app_anr_t220avg_app_launch_delay_s_t13381717Unknownavg_app_launch_delay_s_t1avg_app_launch_delay_s_t125avg_app_launch_delay_s_t23481717Unknownavg_app_launch_delay_s_t2avg_app_launch_delay_s_t225peak_avg_app_launch_delay_s_t13581717Unknownpeak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t125peak_avg_app_launch_delay_s_t23681717Unknownpeak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t225host_count_t137-5190Unknownhost_count_t1host_count_t120host_count_t238-5190Unknownhost_count_t2host_count_t220]]>avg_ux_rating_t1convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t1"], 2));stringavg_ux_rating_t2convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t2"], 2));stringuser_count_t1measureuser_count_t1user_count_t1user_count_t2measureuser_count_t2user_count_t2machine_count_t1measuremachine_count_t1machine_count_t1machine_count_t2measuremachine_count_t2machine_count_t2worst_ux_score_t1measureworst_ux_score_t1worst_ux_score_t1worst_ux_score_t2measureworst_ux_score_t2worst_ux_score_t2avg_ux_score_t1measureavg_ux_score_t1avg_ux_score_t1avg_ux_score_t2measureavg_ux_score_t2avg_ux_score_t2best_ux_score_t1measurebest_ux_score_t1best_ux_score_t1best_ux_score_t2measurebest_ux_score_t2best_ux_score_t2avg_cpu_percent_t1measureavg_cpu_percent_t1avg_cpu_percent_t1avg_cpu_percent_t2measureavg_cpu_percent_t2avg_cpu_percent_t2avg_peak_cpu_percent_t1measureavg_peak_cpu_percent_t1avg_peak_cpu_percent_t1avg_peak_cpu_percent_t2measureavg_peak_cpu_percent_t2avg_peak_cpu_percent_t2avg_cpu_queue_t1measureavg_cpu_queue_t1avg_cpu_queue_t1avg_cpu_queue_t2measureavg_cpu_queue_t2avg_cpu_queue_t2peak_avg_cpu_queue_t1measurepeak_avg_cpu_queue_t1peak_avg_cpu_queue_t1peak_avg_cpu_queue_t2measurepeak_avg_cpu_queue_t2peak_avg_cpu_queue_t2avg_peak_cpu_queue_t1measureavg_peak_cpu_queue_t1avg_peak_cpu_queue_t1avg_peak_cpu_queue_t2measureavg_peak_cpu_queue_t2avg_peak_cpu_queue_t2peak_cpu_queue_t1measurepeak_cpu_queue_t1peak_cpu_queue_t1peak_cpu_queue_t2measurepeak_cpu_queue_t2peak_cpu_queue_t2avg_ram_percent_t1measureavg_ram_percent_t1avg_ram_percent_t1avg_ram_percent_t2measureavg_ram_percent_t2avg_ram_percent_t2peak_avg_ram_percent_t1measurepeak_avg_ram_percent_t1peak_avg_ram_percent_t1peak_avg_ram_percent_t2measurepeak_avg_ram_percent_t2peak_avg_ram_percent_t2avg_peak_ram_percent_t1measureavg_peak_ram_percent_t1avg_peak_ram_percent_t1avg_peak_ram_percent_t2measureavg_peak_ram_percent_t2avg_peak_ram_percent_t2peak_ram_percent_t1measurepeak_ram_percent_t1peak_ram_percent_t1peak_ram_percent_t2measurepeak_ram_percent_t2peak_ram_percent_t2min_login_delay_s_t1measuremin_login_delay_s_t1min_login_delay_s_t1min_login_delay_s_t2measuremin_login_delay_s_t2min_login_delay_s_t2avg_login_delay_s_t1measureavg_login_delay_s_t1avg_login_delay_s_t1avg_login_delay_s_t2measureavg_login_delay_s_t2avg_login_delay_s_t2peak_login_delay_s_t1measurepeak_login_delay_s_t1peak_login_delay_s_t1peak_login_delay_s_t2measurepeak_login_delay_s_t2peak_login_delay_s_t2avg_app_launch_delay_s_t1measureavg_app_launch_delay_s_t1avg_app_launch_delay_s_t1avg_app_launch_delay_s_t2measureavg_app_launch_delay_s_t2avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t1measurepeak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t2measurepeak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t2total_app_anr_t1measuretotal_app_anr_t1total_app_anr_t1total_app_anr_t2measuretotal_app_anr_t2total_app_anr_t2host_count_t1measurehost_count_t1host_count_t1host_count_t2measurehost_count_t2host_count_t2machine_type_count_t1measuremachine_type_count_t1machine_type_count_t1machine_type_count_t2measuremachine_type_count_t2machine_type_count_t2machine_types_t1dimensionmachine_types_t1machine_types_t1machine_types_t2dimensionmachine_types_t2machine_types_t2platform_names_t1dimensionplatform_names_t1platform_names_t1platform_names_t2dimensionplatform_names_t2platform_names_t2platform_count_t1measureplatform_count_t1platform_count_t1platform_count_t2measureplatform_count_t2platform_count_t2os_version_count_t1measureos_version_count_t1os_version_count_t1os_version_count_t2measureos_version_count_t2os_version_count_t2avg_disk_used_percentage_t1measureavg_disk_used_percentage_t1avg_disk_used_percentage_t1avg_disk_used_percentage_t2measureavg_disk_used_percentage_t2avg_disk_used_percentage_t2avg_disk_queue_t1measureavg_disk_queue_t1avg_disk_queue_t1avg_disk_queue_t2measureavg_disk_queue_t2avg_disk_queue_t2avg_nrt_ms_t1measureavg_nrt_ms_t1avg_nrt_ms_t1avg_nrt_ms_t2measureavg_nrt_ms_t2avg_nrt_ms_t2avg_session_latency_ms_t1measureavg_session_latency_ms_t1avg_session_latency_ms_t1avg_session_latency_ms_t2measureavg_session_latency_ms_t2avg_session_latency_ms_t2total_inc_conn_count_t1measuretotal_inc_conn_count_t1total_inc_conn_count_t1total_inc_conn_count_t2measuretotal_inc_conn_count_t2total_inc_conn_count_t2total_nic_mb_t1measuretotal_nic_mb_t1total_nic_mb_t1total_nic_mb_t2measuretotal_nic_mb_t2total_nic_mb_t2avg_nic_kbps_t1measureavg_nic_kbps_t1avg_nic_kbps_t1avg_nic_kbps_t2measureavg_nic_kbps_t2avg_nic_kbps_t2param_1StartTimedateTime931truefalseparam_2EndTimedateTime932truefalseparam_3UserGroupstring123truefalseparam_4UserGroupstring124truefalseparam_5MachineGroupstring125truefalseparam_6MachineGroupstring126truefalseparam_7StartTimedateTime937truefalseparam_8EndTimedateTime938truefalseparam_9UserGroupstring129truefalseparam_10UserGroupstring1210truefalseparam_11MachineGroupstring1211truefalseparam_12MachineGroupstring1212truefalseparam_13StartTimedateTime9313truefalseparam_14EndTimedateTime9314truefalseparam_15MachineGroupstring1215truefalseparam_16MachineGroupstring1216truefalseparam_17StartTimedateTime9317truefalseparam_18EndTimedateTime9318truefalseparam_19MachineGroupstring1219truefalseparam_20MachineGroupstring1220truefalseparam_21CompStartTimedateTime9321truefalseparam_22CompEndTimedateTime9322truefalseparam_23UserGroupstring1223truefalseparam_24UserGroupstring1224truefalseparam_25MachineGroupstring1225truefalseparam_26MachineGroupstring1226truefalseparam_27CompStartTimedateTime9327truefalseparam_28CompEndTimedateTime9328truefalseparam_29UserGroupstring1229truefalseparam_30UserGroupstring1230truefalseparam_31MachineGroupstring1231truefalseparam_32MachineGroupstring1232truefalseparam_33CompStartTimedateTime9333truefalseparam_34CompEndTimedateTime9334truefalseparam_35MachineGroupstring1235truefalseparam_36MachineGroupstring1236truefalseparam_37CompStartTimedateTime9337truefalseparam_38CompEndTimedateTime9338truefalseparam_39MachineGroupstring1239truefalseparam_40MachineGroupstring1240truefalse1user_count_t1decimal2user_count_t2decimal3machine_count_t1decimal4machine_count_t2decimal5worst_ux_score_t1float6worst_ux_score_t2float7avg_ux_score_t1float8avg_ux_score_t2float9best_ux_score_t1float10best_ux_score_t2float11avg_cpu_percent_t1float12avg_cpu_percent_t2float13avg_peak_cpu_percent_t1float14avg_peak_cpu_percent_t2float15avg_cpu_queue_t1float16avg_cpu_queue_t2float17peak_avg_cpu_queue_t1float18peak_avg_cpu_queue_t2float19avg_peak_cpu_queue_t1float20avg_peak_cpu_queue_t2float21peak_cpu_queue_t1float22peak_cpu_queue_t2float23avg_ram_percent_t1float24avg_ram_percent_t2float25peak_avg_ram_percent_t1float26peak_avg_ram_percent_t2float27avg_peak_ram_percent_t1float28avg_peak_ram_percent_t2float29peak_ram_percent_t1float30peak_ram_percent_t2float31min_login_delay_s_t1float32min_login_delay_s_t2float33avg_login_delay_s_t1float34avg_login_delay_s_t2float35peak_login_delay_s_t1float36peak_login_delay_s_t2float37avg_app_launch_delay_s_t1float38avg_app_launch_delay_s_t2float39peak_avg_app_launch_delay_s_t1float40peak_avg_app_launch_delay_s_t2float41total_app_anr_t1decimal42total_app_anr_t2decimal43host_count_t1decimal44host_count_t2decimal45machine_type_count_t1decimal46machine_type_count_t2decimal47machine_types_t1string48machine_types_t2string49platform_names_t1string50platform_names_t2string51platform_count_t1decimal52platform_count_t2decimal53os_version_count_t1decimal54os_version_count_t2decimal55avg_disk_used_percentage_t1float56avg_disk_used_percentage_t2float57avg_disk_queue_t1float58avg_disk_queue_t2float59avg_nrt_ms_t1float60avg_nrt_ms_t2float61avg_session_latency_ms_t1float62avg_session_latency_ms_t2float63total_inc_conn_count_t1decimal64total_inc_conn_count_t2decimal65total_nic_mb_t1float66total_nic_mb_t2float67avg_nic_kbps_t1float68avg_nic_kbps_t2float69avg_ux_rating_t1string70avg_ux_rating_t2stringPortal1user_count_t1user_count_t1decimal-52user_count_t2user_count_t2decimal-53machine_count_t1machine_count_t1decimal-54machine_count_t2machine_count_t2decimal-55worst_ux_score_t1worst_ux_score_t1float86worst_ux_score_t2worst_ux_score_t2float87avg_ux_score_t1avg_ux_score_t1float88avg_ux_score_t2avg_ux_score_t2float89best_ux_score_t1best_ux_score_t1float810best_ux_score_t2best_ux_score_t2float811avg_cpu_percent_t1avg_cpu_percent_t1float812avg_cpu_percent_t2avg_cpu_percent_t2float813avg_peak_cpu_percent_t1avg_peak_cpu_percent_t1float814avg_peak_cpu_percent_t2avg_peak_cpu_percent_t2float815avg_cpu_queue_t1avg_cpu_queue_t1float816avg_cpu_queue_t2avg_cpu_queue_t2float817peak_avg_cpu_queue_t1peak_avg_cpu_queue_t1float818peak_avg_cpu_queue_t2peak_avg_cpu_queue_t2float819avg_peak_cpu_queue_t1avg_peak_cpu_queue_t1float820avg_peak_cpu_queue_t2avg_peak_cpu_queue_t2float821peak_cpu_queue_t1peak_cpu_queue_t1float822peak_cpu_queue_t2peak_cpu_queue_t2float823avg_ram_percent_t1avg_ram_percent_t1float824avg_ram_percent_t2avg_ram_percent_t2float825peak_avg_ram_percent_t1peak_avg_ram_percent_t1float826peak_avg_ram_percent_t2peak_avg_ram_percent_t2float827avg_peak_ram_percent_t1avg_peak_ram_percent_t1float828avg_peak_ram_percent_t2avg_peak_ram_percent_t2float829peak_ram_percent_t1peak_ram_percent_t1float830peak_ram_percent_t2peak_ram_percent_t2float831min_login_delay_s_t1min_login_delay_s_t1float832min_login_delay_s_t2min_login_delay_s_t2float833avg_login_delay_s_t1avg_login_delay_s_t1float834avg_login_delay_s_t2avg_login_delay_s_t2float835peak_login_delay_s_t1peak_login_delay_s_t1float836peak_login_delay_s_t2peak_login_delay_s_t2float837avg_app_launch_delay_s_t1avg_app_launch_delay_s_t1float838avg_app_launch_delay_s_t2avg_app_launch_delay_s_t2float839peak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t1float840peak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t2float841total_app_anr_t1total_app_anr_t1decimal-542total_app_anr_t2total_app_anr_t2decimal-543host_count_t1host_count_t1decimal-544host_count_t2host_count_t2decimal-545machine_type_count_t1machine_type_count_t1decimal-546machine_type_count_t2machine_type_count_t2decimal-547machine_types_t1machine_types_t1string200348machine_types_t2machine_types_t2string200349platform_names_t1platform_names_t1string1250platform_names_t2platform_names_t2string1251platform_count_t1platform_count_t1decimal-552platform_count_t2platform_count_t2decimal-553os_version_count_t1os_version_count_t1decimal-554os_version_count_t2os_version_count_t2decimal-555avg_disk_used_percentage_t1avg_disk_used_percentage_t1float856avg_disk_used_percentage_t2avg_disk_used_percentage_t2float857avg_disk_queue_t1avg_disk_queue_t1float858avg_disk_queue_t2avg_disk_queue_t2float859avg_nrt_ms_t1avg_nrt_ms_t1float860avg_nrt_ms_t2avg_nrt_ms_t2float861avg_session_latency_ms_t1avg_session_latency_ms_t1float862avg_session_latency_ms_t2avg_session_latency_ms_t2float863total_inc_conn_count_t1total_inc_conn_count_t1decimal-564total_inc_conn_count_t2total_inc_conn_count_t2decimal-565total_nic_mb_t1total_nic_mb_t1float866total_nic_mb_t2total_nic_mb_t2float867avg_nic_kbps_t1avg_nic_kbps_t1float868avg_nic_kbps_t2avg_nic_kbps_t2float8 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
min(lstats.login_delay_s) as min_login_delay_s,
avg(lstats.login_delay_s) as avg_login_delay_s,
max(lstats.login_delay_s) as peak_login_delay_s,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
sum(s.total_app_anr) as total_app_anr,
count(distinct s.vmhost_id) as host_count,
count(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_type_count,
array_agg(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_types,
count(distinct os.name) as platform_count,
string_agg(distinct os.name, ',') as platform_names,
count(distinct os.version) as os_version_count,
-- Physical Disk Stats
-- avg(pdisk_stats.disk_count)::float as avg_disk_count,
-- (sum(pdisk_stats.avg_read_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_read_iops,
-- (sum(pdisk_stats.avg_write_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_write_iops,
-- (sum(pdisk_stats.avg_read_io_count)/sum(pdisk_stats.dcid_seconds) + sum(pdisk_stats.avg_write_io_count)/sum(pdisk_stats.dcid_seconds)) as avg_disk_iops,
-- avg(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as avg_peak_disk_iops,
-- max(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as peak_disk_iops,
-- sum(pdisk_stats.avg_read_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_read_iorate_kbps,
-- sum(pdisk_stats.avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_write_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes + avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes)/1048576 as total_disk_read_io_mb,
-- sum(pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_write_io_mb,
-- sum(pdisk_stats.avg_read_io_bytes + pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_io_mb,
-- avg(pdisk_stats.avg_disk_used_gb) as avg_disk_used_gb,
avg(case when pdisk_stats.avg_disk_alloc_gb > 0 then least(pdisk_stats.avg_disk_used_gb/pdisk_stats.avg_disk_alloc_gb, 1) else null end) * 100 as avg_disk_used_percentage,
-- avg(pdisk_stats.avg_disk_alloc_gb) as avg_disk_alloc_gb,
-- -- round((avg(avg_size_gb) * count(distinct s.node_id))::numeric, 2) as sum_disk_size_gb,
avg(case when pdisk_stats.total_avg_queue > 0 then pdisk_stats.total_avg_queue else null end) as avg_disk_queue,
-- max(pdisk_stats.total_peak_queue) as peak_disk_queue,
-- avg(case when pdisk_stats.avg_disk_response_time_ms > 0 then pdisk_stats.avg_disk_response_time_ms else null end) as avg_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_peak_disk_response_time_ms > 0 then pdisk_stats.avg_peak_disk_response_time_ms else null end) as avg_peak_disk_response_time_ms,
-- max(pdisk_stats.avg_peak_disk_response_time_ms) as peak_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_disk_utilization_percent > 0 then pdisk_stats.avg_disk_utilization_percent else null end) as avg_disk_utilization_percent,
-- avg(case when pdisk_stats.avg_peak_disk_utilization_percent > 0 then pdisk_stats.avg_peak_disk_utilization_percent else null end) as avg_peak_disk_utilization_percent,
-- max(pdisk_stats.avg_peak_disk_utilization_percent) as peak_disk_utilization_percent,
-- Network
avg(case when s.avg_center_nrt > 0 then s.avg_center_nrt else null end)/1000.0 as avg_nrt_ms,
avg(case when s.avg_inc_nrt > 0 then s.avg_inc_nrt else null end)/1000.0 as avg_session_latency_ms,
sum(s.inc_conn_count) as total_inc_conn_count,
-- NIC stats
-- round((avg(nic_stats.nic_count))::numeric, 1) as nic_count,
-- sum(nic_stats.total_send_bytes) / 1048576 as total_nic_send_mb,
-- sum(nic_stats.total_receive_bytes) / 1048576 as total_nic_receive_mb,
(sum(nic_stats.total_send_bytes) + sum(nic_stats.total_receive_bytes)) / 1048576 as total_nic_mb,
-- (sum(nic_stats.total_send_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_send_kbps,
-- (sum(nic_stats.total_receive_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_receive_kbps,
((sum(nic_stats.total_send_bytes) / sum(nic_stats.ncid_seconds)) + (sum(total_receive_bytes) / sum(s.scid_seconds))) / 1024 as avg_nic_kbps
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
join (
select
nde.id as node_id,
nde.os_id,
nde.vmtype,
nde.vmhost_id,
nde.fqmn,
age(current_timestamp, nde.bios_date) as machine_age,
age(current_timestamp, nde.last_boot_time) as machine_up_time,
nde_hw_cpu.cores_per_cpu as cores_per_cpu,
nde_hw_cpu.cpu_speed_mhz as cpu_speed_mhz,
nde_hw_cpu.cpu_count,
nde_hw_cpu.total_cpu_alloc_cores,
nde_hw_cpu.total_cpu_alloc_mhz
from
tnt_config.node nde
join (
select
hardware_id,
max(cores) as cores_per_cpu,
round(avg(speed_mhz)::numeric, 0) as cpu_speed_mhz,
count(distinct id) as cpu_count,
sum(cores) as total_cpu_alloc_cores,
sum(speed_mhz * cores) as total_cpu_alloc_mhz
from
tnt_config.node_hardware_cpus
group by
hardware_id
) nde_hw_cpu on (nde_hw_cpu.hardware_id = nde.hardware_id)
where
nde.delete_time is null
and nde.ihostversion is not null
) nde on (nde.node_id = s.node_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.policyidentity pi on (pi.id = s.user_id and pi.delete_time is null and pi.type = 1)
-- left outer join tnt_config.vmhost vmh on (vmh.id = case when s.vmhost_id is null then nde.vmhost_id else s.vmhost_id end)
-- Login stats: summaryreport_login_stats
left outer join(
select
s.node_id,
s.start_date,
s.end_date,
cast(s.details->'session' as int) as session_id,
-- s.user_os_id as user_guid,
s.user_id as user_id,
-- lower(pi.name) as user_name,
-- lower(s.name) as user_domain_name,
-- split_part(lower(s.name), '@', 2) as domain_name,
s.login_time,
s.logout_time,
s.first_record,
s.login_delay_ms,
(case when s.first_record is true then s.login_delay_ms/1000.0 else null end) as login_delay_s,
s.is_admin,
s.secs_active,
cast(s.details->'idle' as float) as session_callback_idle_min,
cast(s.details->'idle_total' as float) as session_total_idle_min,
-- s.network_id,
s.remote_ip,
s.remote_machine_name,
-- cast(s.details->'preloginActTime' as float) as pre_login_actual_time_ms,
-- -- cast(s.details->'breakdownLoginTimeEpochMs' as float) as login_breakdown_time_epoch_ms,
-- to_timestamp(cast(s.details->'breakdownLoginTimeEpochMs' as bigint)/1000) as login_breakdown_time_utc,
-- cast(s.details->'postloginActTime' as float) as post_login_actual_time_ms,
-- cast(s.details->'DCDiscoveryTime' as float) as dc_discovery_time_ms,
-- cast(s.details->'DCIP' as inet) as dc_ip,
-- cast(s.details->'DCName' as text) as dc_name,
-- cast(s.details->'authenticationTime' as float) as authentication_time_ms,
-- cast(s.details->'GPComputerTime' as float) as gp_computer_time_ms,
-- cast(s.details->'GPScriptsTime' as float) as gp_scripts_time_ms,
-- cast(s.details->'GPUserTime' as float) as gp_user_time_ms,
-- cast(s.details->'NetworkPrividerTime' as float) as network_provider_time_ms,
-- cast(s.details->'UserProfileTime' as float) as user_profile_time_ms,
-- cast(s.details->'abnormalEvents' as int) as abnormal_events,
-- cast(s.details->'loadShellTime' as float) as load_shell_time_ms,
-- cast(s.details->'restoreNetworkTime' as float) as restore_network_time_ms,
-- cast(s.details->'themeslogonTime' as float) as themes_logon_time_ms,
-- cast(s.details->'updateUserParameterTime' as float) as update_user_parameter_time_ms,
-- s.details,
greatest(extract(epoch from s.end_date - s.start_date), 1) as lcid_seconds
from
tnt_audit.summaryreport_login_stats s
where
(s.end_date between ? and ?)
-- User group filer
and ('%' = ? or s.user_id is null or s.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) lstats on (
lstats.node_id = s.node_id
and lstats.start_date = s.start_date
and lstats.end_date = s.end_date
and lstats.user_id = s.user_id
)
-- Physical disk stats: summaryreport_disk_stats
left outer join (
-- Sum up numbers across disks by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
count(distinct lower(s.name)) as disk_count,
string_agg(s.name, ',') as disk_names,
string_agg(s.disk_label, ',') as disk_labels,
s.datastore_id,
s.datastore_name,
count(distinct s.datastore_id) as datastore_count,
string_agg(distinct s.datastore_name, ',') as datastore_names,
sum(avg_read_iops) as avg_read_iops,
sum(peak_read_iops) as peak_read_iops,
sum(avg_write_iops) as avg_write_iops,
sum(peak_write_iops) as peak_write_iops,
sum(avg_read_io_count) as avg_read_io_count,
sum(avg_read_io_count) / avg(dcid_seconds) as avg_read_iops,
sum(avg_write_io_count) as avg_write_io_count,
sum(avg_write_io_count) / avg(dcid_seconds) as avg_write_iops,
sum(avg_read_io_bytes) as avg_read_io_bytes,
sum(avg_read_io_bytes) / avg(dcid_seconds) as avg_read_bytesps,
sum(avg_write_io_bytes) as avg_write_io_bytes,
sum(avg_write_io_bytes) / avg(dcid_seconds) as avg_write_bytesps,
sum(avg_read_rate_bytesps) as avg_read_rate_bytesps,
sum(avg_write_rate_bytesps) as avg_write_rate_bytesps,
sum(avg_disk_alloc_kb) as avg_disk_alloc_kb,
sum(avg_disk_used_kb) as avg_disk_used_kb,
sum(avg_disk_used_kb)/1048576 as avg_disk_used_gb,
sum(avg_disk_alloc_kb)/1048576 as avg_disk_alloc_gb,
avg(case when avg_queue > 0 then avg_queue else null end) as avg_queue,
max(avg_queue) as peak_avg_queue,
sum(avg_queue) as total_avg_queue,
avg(case when peak_queue > 0 then peak_queue else null end) as avg_peak_queue,
max(peak_queue) as peak_queue,
sum(peak_queue) as total_peak_queue,
avg(case when avg_read_latency_ms > 0 then avg_read_latency_ms else null end) as avg_read_latency_ms,
max(avg_read_latency_ms) as peak_avg_read_latency_ms,
avg(case when peak_read_latency_ms > 0 then peak_read_latency_ms else null end) as avg_peak_read_latency_ms,
max(peak_read_latency_ms) as peak_read_latency_ms,
avg(case when avg_write_latency_ms > 0 then avg_write_latency_ms else null end) as avg_write_latency_ms,
max(avg_write_latency_ms) as peak_avg_write_latency_ms,
avg(case when peak_write_latency_ms > 0 then peak_write_latency_ms else null end) as avg_peak_write_latency_ms,
max(peak_write_latency_ms) as peak_write_latency_ms,
avg(avg_disk_utilization_percent) as avg_disk_utilization_percent,
avg(peak_disk_utilization_percent) as avg_peak_disk_utilization_percent,
avg(avg_disk_response_time_ms) as avg_disk_response_time_ms,
avg(peak_disk_response_time_ms) as avg_peak_disk_response_time_ms,
avg(dcid_seconds) as dcid_seconds
from (
-- This is at the node_id, start_date, end_date, disk_name level
select
s.node_id,
s.start_date,
s.end_date,
s.disk_id,
s.name,
s.device,
cast(s.details->'label' as text) as disk_label,
s.vdisk_datastoreid as datastore_id,
-- case when ds.name not ilike 'Unknown' then ds.name else '' end as datastore_name,
case when ds.name not ilike 'Unknown' then ds.name else null end as datastore_name,
1 as disk_count,
s.read_avg as avg_read_iops,
s.read_peak as peak_read_iops,
s.write_avg as avg_write_iops,
s.write_peak as peak_write_iops,
(s.read_avg * s.dcid_seconds) as avg_read_io_count,
(s.write_avg * s.dcid_seconds) as avg_write_io_count,
(s.read_io_avg * 1024 * s.dcid_seconds) as avg_read_io_bytes,
(s.write_io_avg * 1024 * s.dcid_seconds) as avg_write_io_bytes,
(s.read_io_avg * 1024) as avg_read_rate_bytesps,
(s.write_io_avg * 1024) as avg_write_rate_bytesps,
s.avg_used as avg_disk_used_kb,
s.size as avg_disk_alloc_kb,
s.queue_avg as avg_queue,
s.queue_peak as peak_queue,
cast(s.details->'readLatencyAverage' as numeric) as avg_read_latency_ms,
cast(s.details->'readLatencyPeak' as numeric) as peak_read_latency_ms,
cast(s.details->'writeLatencyAverage' as numeric) as avg_write_latency_ms,
cast(s.details->'writeLatencyPeak' as numeric) as peak_write_latency_ms,
cast(s.details->'utilizationPercentMin' as numeric) as min_disk_utilization_percent,
cast(s.details->'utilizationPercentAverage' as numeric) as avg_disk_utilization_percent,
cast(s.details->'utilizationPercentPeak' as numeric) as peak_disk_utilization_percent,
cast(s.details->'responseTimeMSMin' as numeric) as min_disk_response_time_ms,
cast(s.details->'responseTimeMSAverage' as numeric) as avg_disk_response_time_ms,
cast(s.details->'responseTimeMSPeak' as numeric) as peak_disk_response_time_ms,
s.dcid_seconds
from (
select
s.*,
greatest(extract(epoch from s.end_date - s.start_date), 1) as dcid_seconds
from
tnt_audit.summaryreport_disk_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
left outer join tnt_config.datastore ds on (ds.id = s.vdisk_datastoreid and ds.delete_time is null)
) s
group by
s.node_id,
s.start_date,
s.end_date,
s.datastore_id,
s.datastore_name
) pdisk_stats on (
pdisk_stats.node_id = s.node_id
and pdisk_stats.start_date = s.start_date
and pdisk_stats.end_date = s.end_date
) -- summaryreport_disk_stats
-- NIC stats
left outer join (
-- Sum up numbers across nics by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
sum(s.nic_count) as nic_count,
string_agg(distinct (array_to_string(s.ip_addresses,',')), ',' ) as ip_addresses,
sum(s.total_send_bytes) as total_send_bytes,
sum(s.total_send_bytes) / avg(s.ncid_seconds) as avg_send_bytesps,
sum(s.peak_send_bytesps) as peak_send_bytesps,
sum(s.total_receive_bytes) as total_receive_bytes,
sum(s.total_receive_bytes) / avg(s.ncid_seconds) as avg_receive_bytesps,
sum(s.peak_receive_bytesps) as peak_receive_bytesps,
avg(s.ncid_seconds) as ncid_seconds
from (
-- This is at the node_id, start_date, end_date, nic name level
select
s.node_id,
s.start_date,
s.end_date,
s.name,
1 as nic_count,
case when s.addresses is null then array['0.0.0.0/32'::inet] else s.addresses end as ip_addresses,
(send_total * 1024) as total_send_bytes,
(send_peak * 1024) as peak_send_bytesps,
(receive_total * 1024) as total_receive_bytes,
(receive_peak * 1024) as peak_receive_bytesps,
greatest(extract(epoch from s.end_date - s.start_date), 1) as ncid_seconds
from
tnt_audit.summaryreport_nic_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
and (s.speed > 0)
) s
group by
s.node_id,
s.start_date,
s.end_date
) nic_stats on (
nic_stats.node_id = s.node_id
and nic_stats.start_date = s.start_date
and nic_stats.end_date = s.end_date
) -- summaryreport_nic_stats
) s_t1
left outer join (
select
count(distinct s.user_id) as user_count,
count(distinct s.node_id) as machine_count,
min(s.vdi_ux_overall) as worst_ux_score,
avg(s.vdi_ux_overall) as avg_ux_score,
max(s.vdi_ux_overall) as best_ux_score,
avg(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as avg_cpu_percent,
max(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as peak_avg_cpu_percent,
avg(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as avg_peak_cpu_percent,
max(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as peak_cpu_percent,
avg(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
min(lstats.login_delay_s) as min_login_delay_s,
avg(lstats.login_delay_s) as avg_login_delay_s,
max(lstats.login_delay_s) as peak_login_delay_s,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
sum(s.total_app_anr) as total_app_anr,
count(distinct s.vmhost_id) as host_count,
count(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_type_count,
array_agg(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_types,
count(distinct os.name) as platform_count,
string_agg(distinct os.name, ',') as platform_names,
count(distinct os.version) as os_version_count,
-- Physical Disk Stats
-- avg(pdisk_stats.disk_count)::float as avg_disk_count,
-- (sum(pdisk_stats.avg_read_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_read_iops,
-- (sum(pdisk_stats.avg_write_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_write_iops,
-- (sum(pdisk_stats.avg_read_io_count)/sum(pdisk_stats.dcid_seconds) + sum(pdisk_stats.avg_write_io_count)/sum(pdisk_stats.dcid_seconds)) as avg_disk_iops,
-- avg(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as avg_peak_disk_iops,
-- max(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as peak_disk_iops,
-- sum(pdisk_stats.avg_read_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_read_iorate_kbps,
-- sum(pdisk_stats.avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_write_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes + avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes)/1048576 as total_disk_read_io_mb,
-- sum(pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_write_io_mb,
-- sum(pdisk_stats.avg_read_io_bytes + pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_io_mb,
-- avg(pdisk_stats.avg_disk_used_gb) as avg_disk_used_gb,
avg(case when pdisk_stats.avg_disk_alloc_gb > 0 then least(pdisk_stats.avg_disk_used_gb/pdisk_stats.avg_disk_alloc_gb, 1) else null end) * 100 as avg_disk_used_percentage,
-- avg(pdisk_stats.avg_disk_alloc_gb) as avg_disk_alloc_gb,
-- -- round((avg(avg_size_gb) * count(distinct s.node_id))::numeric, 2) as sum_disk_size_gb,
avg(case when pdisk_stats.total_avg_queue > 0 then pdisk_stats.total_avg_queue else null end) as avg_disk_queue,
-- max(pdisk_stats.total_peak_queue) as peak_disk_queue,
-- avg(case when pdisk_stats.avg_disk_response_time_ms > 0 then pdisk_stats.avg_disk_response_time_ms else null end) as avg_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_peak_disk_response_time_ms > 0 then pdisk_stats.avg_peak_disk_response_time_ms else null end) as avg_peak_disk_response_time_ms,
-- max(pdisk_stats.avg_peak_disk_response_time_ms) as peak_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_disk_utilization_percent > 0 then pdisk_stats.avg_disk_utilization_percent else null end) as avg_disk_utilization_percent,
-- avg(case when pdisk_stats.avg_peak_disk_utilization_percent > 0 then pdisk_stats.avg_peak_disk_utilization_percent else null end) as avg_peak_disk_utilization_percent,
-- max(pdisk_stats.avg_peak_disk_utilization_percent) as peak_disk_utilization_percent,
-- Network
avg(case when s.avg_center_nrt > 0 then s.avg_center_nrt else null end)/1000.0 as avg_nrt_ms,
avg(case when s.avg_inc_nrt > 0 then s.avg_inc_nrt else null end)/1000.0 as avg_session_latency_ms,
sum(s.inc_conn_count) as total_inc_conn_count,
-- NIC stats
-- round((avg(nic_stats.nic_count))::numeric, 1) as nic_count,
-- sum(nic_stats.total_send_bytes) / 1048576 as total_nic_send_mb,
-- sum(nic_stats.total_receive_bytes) / 1048576 as total_nic_receive_mb,
(sum(nic_stats.total_send_bytes) + sum(nic_stats.total_receive_bytes)) / 1048576 as total_nic_mb,
-- (sum(nic_stats.total_send_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_send_kbps,
-- (sum(nic_stats.total_receive_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_receive_kbps,
((sum(nic_stats.total_send_bytes) / sum(nic_stats.ncid_seconds)) + (sum(total_receive_bytes) / sum(s.scid_seconds))) / 1024 as avg_nic_kbps
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
join (
select
nde.id as node_id,
nde.os_id,
nde.vmtype,
nde.vmhost_id,
nde.fqmn,
age(current_timestamp, nde.bios_date) as machine_age,
age(current_timestamp, nde.last_boot_time) as machine_up_time,
nde_hw_cpu.cores_per_cpu as cores_per_cpu,
nde_hw_cpu.cpu_speed_mhz as cpu_speed_mhz,
nde_hw_cpu.cpu_count,
nde_hw_cpu.total_cpu_alloc_cores,
nde_hw_cpu.total_cpu_alloc_mhz
from
tnt_config.node nde
join (
select
hardware_id,
max(cores) as cores_per_cpu,
round(avg(speed_mhz)::numeric, 0) as cpu_speed_mhz,
count(distinct id) as cpu_count,
sum(cores) as total_cpu_alloc_cores,
sum(speed_mhz * cores) as total_cpu_alloc_mhz
from
tnt_config.node_hardware_cpus
group by
hardware_id
) nde_hw_cpu on (nde_hw_cpu.hardware_id = nde.hardware_id)
where
nde.delete_time is null
and nde.ihostversion is not null
) nde on (nde.node_id = s.node_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.policyidentity pi on (pi.id = s.user_id and pi.delete_time is null and pi.type = 1)
-- left outer join tnt_config.vmhost vmh on (vmh.id = case when s.vmhost_id is null then nde.vmhost_id else s.vmhost_id end)
-- Login stats: summaryreport_login_stats
left outer join(
select
s.node_id,
s.start_date,
s.end_date,
cast(s.details->'session' as int) as session_id,
-- s.user_os_id as user_guid,
s.user_id as user_id,
-- lower(pi.name) as user_name,
-- lower(s.name) as user_domain_name,
-- split_part(lower(s.name), '@', 2) as domain_name,
s.login_time,
s.logout_time,
s.first_record,
s.login_delay_ms,
(case when s.first_record is true then s.login_delay_ms/1000.0 else null end) as login_delay_s,
s.is_admin,
s.secs_active,
cast(s.details->'idle' as float) as session_callback_idle_min,
cast(s.details->'idle_total' as float) as session_total_idle_min,
-- s.network_id,
s.remote_ip,
s.remote_machine_name,
-- cast(s.details->'preloginActTime' as float) as pre_login_actual_time_ms,
-- -- cast(s.details->'breakdownLoginTimeEpochMs' as float) as login_breakdown_time_epoch_ms,
-- to_timestamp(cast(s.details->'breakdownLoginTimeEpochMs' as bigint)/1000) as login_breakdown_time_utc,
-- cast(s.details->'postloginActTime' as float) as post_login_actual_time_ms,
-- cast(s.details->'DCDiscoveryTime' as float) as dc_discovery_time_ms,
-- cast(s.details->'DCIP' as inet) as dc_ip,
-- cast(s.details->'DCName' as text) as dc_name,
-- cast(s.details->'authenticationTime' as float) as authentication_time_ms,
-- cast(s.details->'GPComputerTime' as float) as gp_computer_time_ms,
-- cast(s.details->'GPScriptsTime' as float) as gp_scripts_time_ms,
-- cast(s.details->'GPUserTime' as float) as gp_user_time_ms,
-- cast(s.details->'NetworkPrividerTime' as float) as network_provider_time_ms,
-- cast(s.details->'UserProfileTime' as float) as user_profile_time_ms,
-- cast(s.details->'abnormalEvents' as int) as abnormal_events,
-- cast(s.details->'loadShellTime' as float) as load_shell_time_ms,
-- cast(s.details->'restoreNetworkTime' as float) as restore_network_time_ms,
-- cast(s.details->'themeslogonTime' as float) as themes_logon_time_ms,
-- cast(s.details->'updateUserParameterTime' as float) as update_user_parameter_time_ms,
-- s.details,
greatest(extract(epoch from s.end_date - s.start_date), 1) as lcid_seconds
from
tnt_audit.summaryreport_login_stats s
where
(s.end_date between ? and ?)
-- User group filer
and ('%' = ? or s.user_id is null or s.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) lstats on (
lstats.node_id = s.node_id
and lstats.start_date = s.start_date
and lstats.end_date = s.end_date
and lstats.user_id = s.user_id
)
-- Physical disk stats: summaryreport_disk_stats
left outer join (
-- Sum up numbers across disks by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
count(distinct lower(s.name)) as disk_count,
string_agg(s.name, ',') as disk_names,
string_agg(s.disk_label, ',') as disk_labels,
s.datastore_id,
s.datastore_name,
count(distinct s.datastore_id) as datastore_count,
string_agg(distinct s.datastore_name, ',') as datastore_names,
sum(avg_read_iops) as avg_read_iops,
sum(peak_read_iops) as peak_read_iops,
sum(avg_write_iops) as avg_write_iops,
sum(peak_write_iops) as peak_write_iops,
sum(avg_read_io_count) as avg_read_io_count,
sum(avg_read_io_count) / avg(dcid_seconds) as avg_read_iops,
sum(avg_write_io_count) as avg_write_io_count,
sum(avg_write_io_count) / avg(dcid_seconds) as avg_write_iops,
sum(avg_read_io_bytes) as avg_read_io_bytes,
sum(avg_read_io_bytes) / avg(dcid_seconds) as avg_read_bytesps,
sum(avg_write_io_bytes) as avg_write_io_bytes,
sum(avg_write_io_bytes) / avg(dcid_seconds) as avg_write_bytesps,
sum(avg_read_rate_bytesps) as avg_read_rate_bytesps,
sum(avg_write_rate_bytesps) as avg_write_rate_bytesps,
sum(avg_disk_alloc_kb) as avg_disk_alloc_kb,
sum(avg_disk_used_kb) as avg_disk_used_kb,
sum(avg_disk_used_kb)/1048576 as avg_disk_used_gb,
sum(avg_disk_alloc_kb)/1048576 as avg_disk_alloc_gb,
avg(case when avg_queue > 0 then avg_queue else null end) as avg_queue,
max(avg_queue) as peak_avg_queue,
sum(avg_queue) as total_avg_queue,
avg(case when peak_queue > 0 then peak_queue else null end) as avg_peak_queue,
max(peak_queue) as peak_queue,
sum(peak_queue) as total_peak_queue,
avg(case when avg_read_latency_ms > 0 then avg_read_latency_ms else null end) as avg_read_latency_ms,
max(avg_read_latency_ms) as peak_avg_read_latency_ms,
avg(case when peak_read_latency_ms > 0 then peak_read_latency_ms else null end) as avg_peak_read_latency_ms,
max(peak_read_latency_ms) as peak_read_latency_ms,
avg(case when avg_write_latency_ms > 0 then avg_write_latency_ms else null end) as avg_write_latency_ms,
max(avg_write_latency_ms) as peak_avg_write_latency_ms,
avg(case when peak_write_latency_ms > 0 then peak_write_latency_ms else null end) as avg_peak_write_latency_ms,
max(peak_write_latency_ms) as peak_write_latency_ms,
avg(avg_disk_utilization_percent) as avg_disk_utilization_percent,
avg(peak_disk_utilization_percent) as avg_peak_disk_utilization_percent,
avg(avg_disk_response_time_ms) as avg_disk_response_time_ms,
avg(peak_disk_response_time_ms) as avg_peak_disk_response_time_ms,
avg(dcid_seconds) as dcid_seconds
from (
-- This is at the node_id, start_date, end_date, disk_name level
select
s.node_id,
s.start_date,
s.end_date,
s.disk_id,
s.name,
s.device,
cast(s.details->'label' as text) as disk_label,
s.vdisk_datastoreid as datastore_id,
-- case when ds.name not ilike 'Unknown' then ds.name else '' end as datastore_name,
case when ds.name not ilike 'Unknown' then ds.name else null end as datastore_name,
1 as disk_count,
s.read_avg as avg_read_iops,
s.read_peak as peak_read_iops,
s.write_avg as avg_write_iops,
s.write_peak as peak_write_iops,
(s.read_avg * s.dcid_seconds) as avg_read_io_count,
(s.write_avg * s.dcid_seconds) as avg_write_io_count,
(s.read_io_avg * 1024 * s.dcid_seconds) as avg_read_io_bytes,
(s.write_io_avg * 1024 * s.dcid_seconds) as avg_write_io_bytes,
(s.read_io_avg * 1024) as avg_read_rate_bytesps,
(s.write_io_avg * 1024) as avg_write_rate_bytesps,
s.avg_used as avg_disk_used_kb,
s.size as avg_disk_alloc_kb,
s.queue_avg as avg_queue,
s.queue_peak as peak_queue,
cast(s.details->'readLatencyAverage' as numeric) as avg_read_latency_ms,
cast(s.details->'readLatencyPeak' as numeric) as peak_read_latency_ms,
cast(s.details->'writeLatencyAverage' as numeric) as avg_write_latency_ms,
cast(s.details->'writeLatencyPeak' as numeric) as peak_write_latency_ms,
cast(s.details->'utilizationPercentMin' as numeric) as min_disk_utilization_percent,
cast(s.details->'utilizationPercentAverage' as numeric) as avg_disk_utilization_percent,
cast(s.details->'utilizationPercentPeak' as numeric) as peak_disk_utilization_percent,
cast(s.details->'responseTimeMSMin' as numeric) as min_disk_response_time_ms,
cast(s.details->'responseTimeMSAverage' as numeric) as avg_disk_response_time_ms,
cast(s.details->'responseTimeMSPeak' as numeric) as peak_disk_response_time_ms,
s.dcid_seconds
from (
select
s.*,
greatest(extract(epoch from s.end_date - s.start_date), 1) as dcid_seconds
from
tnt_audit.summaryreport_disk_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
left outer join tnt_config.datastore ds on (ds.id = s.vdisk_datastoreid and ds.delete_time is null)
) s
group by
s.node_id,
s.start_date,
s.end_date,
s.datastore_id,
s.datastore_name
) pdisk_stats on (
pdisk_stats.node_id = s.node_id
and pdisk_stats.start_date = s.start_date
and pdisk_stats.end_date = s.end_date
) -- summaryreport_disk_stats
-- NIC stats
left outer join (
-- Sum up numbers across nics by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
sum(s.nic_count) as nic_count,
string_agg(distinct (array_to_string(s.ip_addresses,',')), ',' ) as ip_addresses,
sum(s.total_send_bytes) as total_send_bytes,
sum(s.total_send_bytes) / avg(s.ncid_seconds) as avg_send_bytesps,
sum(s.peak_send_bytesps) as peak_send_bytesps,
sum(s.total_receive_bytes) as total_receive_bytes,
sum(s.total_receive_bytes) / avg(s.ncid_seconds) as avg_receive_bytesps,
sum(s.peak_receive_bytesps) as peak_receive_bytesps,
avg(s.ncid_seconds) as ncid_seconds
from (
-- This is at the node_id, start_date, end_date, nic name level
select
s.node_id,
s.start_date,
s.end_date,
s.name,
1 as nic_count,
case when s.addresses is null then array['0.0.0.0/32'::inet] else s.addresses end as ip_addresses,
(send_total * 1024) as total_send_bytes,
(send_peak * 1024) as peak_send_bytesps,
(receive_total * 1024) as total_receive_bytes,
(receive_peak * 1024) as peak_receive_bytesps,
greatest(extract(epoch from s.end_date - s.start_date), 1) as ncid_seconds
from
tnt_audit.summaryreport_nic_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
and (s.speed > 0)
) s
group by
s.node_id,
s.start_date,
s.end_date
) nic_stats on (
nic_stats.node_id = s.node_id
and nic_stats.start_date = s.start_date
and nic_stats.end_date = s.end_date
) -- summaryreport_nic_stats
) s_t2 on (true)
;]]>2.0In19300UnknownIn29300UnknownIn31200UnknownIn41200UnknownIn51200UnknownIn61200UnknownIn79300UnknownIn89300UnknownIn91200UnknownIn101200UnknownIn111200UnknownIn121200UnknownIn139300UnknownIn149300UnknownIn151200UnknownIn161200UnknownIn179300UnknownIn189300UnknownIn191200UnknownIn201200UnknownIn219300UnknownIn229300UnknownIn231200UnknownIn241200UnknownIn251200UnknownIn261200UnknownIn279300UnknownIn289300UnknownIn291200UnknownIn301200UnknownIn311200UnknownIn321200UnknownIn339300UnknownIn349300UnknownIn351200UnknownIn361200UnknownIn379300UnknownIn389300UnknownIn391200UnknownIn401200Unknownuser_count_t11-5190Unknownuser_count_t1user_count_t120user_count_t22-5190Unknownuser_count_t2user_count_t220machine_count_t13-5190Unknownmachine_count_t1machine_count_t120machine_count_t24-5190Unknownmachine_count_t2machine_count_t220worst_ux_score_t1581717Unknownworst_ux_score_t1worst_ux_score_t125worst_ux_score_t2681717Unknownworst_ux_score_t2worst_ux_score_t225avg_ux_score_t1781717Unknownavg_ux_score_t1avg_ux_score_t125avg_ux_score_t2881717Unknownavg_ux_score_t2avg_ux_score_t225best_ux_score_t1981717Unknownbest_ux_score_t1best_ux_score_t125best_ux_score_t21081717Unknownbest_ux_score_t2best_ux_score_t225avg_cpu_percent_t11181717Unknownavg_cpu_percent_t1avg_cpu_percent_t125avg_cpu_percent_t21281717Unknownavg_cpu_percent_t2avg_cpu_percent_t225avg_peak_cpu_percent_t11381717Unknownavg_peak_cpu_percent_t1avg_peak_cpu_percent_t125avg_peak_cpu_percent_t21481717Unknownavg_peak_cpu_percent_t2avg_peak_cpu_percent_t225avg_cpu_queue_t11581717Unknownavg_cpu_queue_t1avg_cpu_queue_t125avg_cpu_queue_t21681717Unknownavg_cpu_queue_t2avg_cpu_queue_t225peak_avg_cpu_queue_t11781717Unknownpeak_avg_cpu_queue_t1peak_avg_cpu_queue_t125peak_avg_cpu_queue_t21881717Unknownpeak_avg_cpu_queue_t2peak_avg_cpu_queue_t225avg_peak_cpu_queue_t11981717Unknownavg_peak_cpu_queue_t1avg_peak_cpu_queue_t125avg_peak_cpu_queue_t22081717Unknownavg_peak_cpu_queue_t2avg_peak_cpu_queue_t225peak_cpu_queue_t12181717Unknownpeak_cpu_queue_t1peak_cpu_queue_t125peak_cpu_queue_t22281717Unknownpeak_cpu_queue_t2peak_cpu_queue_t225avg_ram_percent_t12381717Unknownavg_ram_percent_t1avg_ram_percent_t125avg_ram_percent_t22481717Unknownavg_ram_percent_t2avg_ram_percent_t225peak_avg_ram_percent_t12581717Unknownpeak_avg_ram_percent_t1peak_avg_ram_percent_t125peak_avg_ram_percent_t22681717Unknownpeak_avg_ram_percent_t2peak_avg_ram_percent_t225avg_peak_ram_percent_t12781717Unknownavg_peak_ram_percent_t1avg_peak_ram_percent_t125avg_peak_ram_percent_t22881717Unknownavg_peak_ram_percent_t2avg_peak_ram_percent_t225peak_ram_percent_t12981717Unknownpeak_ram_percent_t1peak_ram_percent_t125peak_ram_percent_t23081717Unknownpeak_ram_percent_t2peak_ram_percent_t225total_app_anr_t131-5190Unknowntotal_app_anr_t1total_app_anr_t120total_app_anr_t232-5190Unknowntotal_app_anr_t2total_app_anr_t220avg_app_launch_delay_s_t13381717Unknownavg_app_launch_delay_s_t1avg_app_launch_delay_s_t125avg_app_launch_delay_s_t23481717Unknownavg_app_launch_delay_s_t2avg_app_launch_delay_s_t225peak_avg_app_launch_delay_s_t13581717Unknownpeak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t125peak_avg_app_launch_delay_s_t23681717Unknownpeak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t225host_count_t137-5190Unknownhost_count_t1host_count_t120host_count_t238-5190Unknownhost_count_t2host_count_t220]]>avg_ux_rating_t1//convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t1"], 2));
convertVDIUXScoreToLabelString(dataSetRow["avg_ux_score_t1"]);stringavg_ux_rating_t2//convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t2"], 2));
convertVDIUXScoreToLabelString(dataSetRow["avg_ux_score_t2"]);stringuser_count_t1measureuser_count_t1user_count_t1user_count_t2measureuser_count_t2user_count_t2machine_count_t1measuremachine_count_t1machine_count_t1machine_count_t2measuremachine_count_t2machine_count_t2worst_ux_score_t1measureworst_ux_score_t1worst_ux_score_t1worst_ux_score_t2measureworst_ux_score_t2worst_ux_score_t2avg_ux_score_t1measureavg_ux_score_t1avg_ux_score_t1avg_ux_score_t2measureavg_ux_score_t2avg_ux_score_t2best_ux_score_t1measurebest_ux_score_t1best_ux_score_t1best_ux_score_t2measurebest_ux_score_t2best_ux_score_t2machines_ux_good_count_t1measuremachines_ux_good_count_t1machines_ux_good_count_t1machines_ux_fair_count_t1measuremachines_ux_fair_count_t1machines_ux_fair_count_t1machines_ux_poor_count_t1measuremachines_ux_poor_count_t1machines_ux_poor_count_t1machines_ux_good_count_t2measuremachines_ux_good_count_t2machines_ux_good_count_t2machines_ux_fair_count_t2measuremachines_ux_fair_count_t2machines_ux_fair_count_t2machines_ux_poor_count_t2measuremachines_ux_poor_count_t2machines_ux_poor_count_t2avg_cpu_percent_t1measureavg_cpu_percent_t1avg_cpu_percent_t1avg_cpu_percent_t2measureavg_cpu_percent_t2avg_cpu_percent_t2avg_peak_cpu_percent_t1measureavg_peak_cpu_percent_t1avg_peak_cpu_percent_t1avg_peak_cpu_percent_t2measureavg_peak_cpu_percent_t2avg_peak_cpu_percent_t2avg_cpu_queue_t1measureavg_cpu_queue_t1avg_cpu_queue_t1avg_cpu_queue_t2measureavg_cpu_queue_t2avg_cpu_queue_t2peak_avg_cpu_queue_t1measurepeak_avg_cpu_queue_t1peak_avg_cpu_queue_t1peak_avg_cpu_queue_t2measurepeak_avg_cpu_queue_t2peak_avg_cpu_queue_t2avg_peak_cpu_queue_t1measureavg_peak_cpu_queue_t1avg_peak_cpu_queue_t1avg_peak_cpu_queue_t2measureavg_peak_cpu_queue_t2avg_peak_cpu_queue_t2peak_cpu_queue_t1measurepeak_cpu_queue_t1peak_cpu_queue_t1peak_cpu_queue_t2measurepeak_cpu_queue_t2peak_cpu_queue_t2avg_ram_percent_t1measureavg_ram_percent_t1avg_ram_percent_t1avg_ram_percent_t2measureavg_ram_percent_t2avg_ram_percent_t2peak_avg_ram_percent_t1measurepeak_avg_ram_percent_t1peak_avg_ram_percent_t1peak_avg_ram_percent_t2measurepeak_avg_ram_percent_t2peak_avg_ram_percent_t2avg_peak_ram_percent_t1measureavg_peak_ram_percent_t1avg_peak_ram_percent_t1avg_peak_ram_percent_t2measureavg_peak_ram_percent_t2avg_peak_ram_percent_t2peak_ram_percent_t1measurepeak_ram_percent_t1peak_ram_percent_t1peak_ram_percent_t2measurepeak_ram_percent_t2peak_ram_percent_t2min_login_delay_s_t1measuremin_login_delay_s_t1min_login_delay_s_t1min_login_delay_s_t2measuremin_login_delay_s_t2min_login_delay_s_t2avg_login_delay_s_t1measureavg_login_delay_s_t1avg_login_delay_s_t1avg_login_delay_s_t2measureavg_login_delay_s_t2avg_login_delay_s_t2peak_login_delay_s_t1measurepeak_login_delay_s_t1peak_login_delay_s_t1peak_login_delay_s_t2measurepeak_login_delay_s_t2peak_login_delay_s_t2avg_app_launch_delay_s_t1measureavg_app_launch_delay_s_t1avg_app_launch_delay_s_t1avg_app_launch_delay_s_t2measureavg_app_launch_delay_s_t2avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t1measurepeak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t2measurepeak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t2total_app_anr_t1measuretotal_app_anr_t1total_app_anr_t1total_app_anr_t2measuretotal_app_anr_t2total_app_anr_t2host_count_t1measurehost_count_t1host_count_t1host_count_t2measurehost_count_t2host_count_t2machine_type_count_t1measuremachine_type_count_t1machine_type_count_t1machine_type_count_t2measuremachine_type_count_t2machine_type_count_t2machine_types_t1dimensionmachine_types_t1machine_types_t1machine_types_t2dimensionmachine_types_t2machine_types_t2platform_names_t1dimensionplatform_names_t1platform_names_t1platform_names_t2dimensionplatform_names_t2platform_names_t2platform_count_t1measureplatform_count_t1platform_count_t1platform_count_t2measureplatform_count_t2platform_count_t2os_version_count_t1measureos_version_count_t1os_version_count_t1os_version_count_t2measureos_version_count_t2os_version_count_t2avg_disk_used_percentage_t1measureavg_disk_used_percentage_t1avg_disk_used_percentage_t1avg_disk_used_percentage_t2measureavg_disk_used_percentage_t2avg_disk_used_percentage_t2avg_disk_queue_t1measureavg_disk_queue_t1avg_disk_queue_t1avg_disk_queue_t2measureavg_disk_queue_t2avg_disk_queue_t2avg_disk_response_time_ms_t1measureavg_disk_response_time_ms_t1avg_disk_response_time_ms_t1avg_disk_response_time_ms_t2measureavg_disk_response_time_ms_t2avg_disk_response_time_ms_t2avg_nrt_ms_t1measureavg_nrt_ms_t1avg_nrt_ms_t1avg_nrt_ms_t2measureavg_nrt_ms_t2avg_nrt_ms_t2avg_session_latency_ms_t1measureavg_session_latency_ms_t1avg_session_latency_ms_t1avg_session_latency_ms_t2measureavg_session_latency_ms_t2avg_session_latency_ms_t2total_inc_conn_count_t1measuretotal_inc_conn_count_t1total_inc_conn_count_t1total_inc_conn_count_t2measuretotal_inc_conn_count_t2total_inc_conn_count_t2total_nic_mb_t1measuretotal_nic_mb_t1total_nic_mb_t1total_nic_mb_t2measuretotal_nic_mb_t2total_nic_mb_t2avg_nic_kbps_t1measureavg_nic_kbps_t1avg_nic_kbps_t1avg_nic_kbps_t2measureavg_nic_kbps_t2avg_nic_kbps_t2param_1StartTimedateTime931truefalseparam_2EndTimedateTime932truefalseparam_3UserGroupstring123truefalseparam_4UserGroupstring124truefalseparam_5MachineGroupstring125truefalseparam_6MachineGroupstring126truefalseparam_7StartTimedateTime937truefalseparam_8EndTimedateTime938truefalseparam_9UserGroupstring129truefalseparam_10UserGroupstring1210truefalseparam_11MachineGroupstring1211truefalseparam_12MachineGroupstring1212truefalseparam_13StartTimedateTime9313truefalseparam_14EndTimedateTime9314truefalseparam_15MachineGroupstring1215truefalseparam_16MachineGroupstring1216truefalseparam_17StartTimedateTime9317truefalseparam_18EndTimedateTime9318truefalseparam_19MachineGroupstring1219truefalseparam_20MachineGroupstring1220truefalseparam_21CompStartTimedateTime9321truefalseparam_22CompEndTimedateTime9322truefalseparam_23UserGroupstring1223truefalseparam_24UserGroupstring1224truefalseparam_25MachineGroupstring1225truefalseparam_26MachineGroupstring1226truefalseparam_27CompStartTimedateTime9327truefalseparam_28CompEndTimedateTime9328truefalseparam_29UserGroupstring1229truefalseparam_30UserGroupstring1230truefalseparam_31MachineGroupstring1231truefalseparam_32MachineGroupstring1232truefalseparam_33CompStartTimedateTime9333truefalseparam_34CompEndTimedateTime9334truefalseparam_35MachineGroupstring1235truefalseparam_36MachineGroupstring1236truefalseparam_37CompStartTimedateTime9337truefalseparam_38CompEndTimedateTime9338truefalseparam_39MachineGroupstring1239truefalseparam_40MachineGroupstring1240truefalse1user_count_t1decimal2user_count_t2decimal3machine_count_t1decimal4machine_count_t2decimal5worst_ux_score_t1float6worst_ux_score_t2float7avg_ux_score_t1float8avg_ux_score_t2float9best_ux_score_t1float10best_ux_score_t2float11machines_ux_good_count_t1decimal12machines_ux_fair_count_t1decimal13machines_ux_poor_count_t1decimal14machines_ux_good_count_t2decimal15machines_ux_fair_count_t2decimal16machines_ux_poor_count_t2decimal17avg_cpu_percent_t1float18avg_cpu_percent_t2float19avg_peak_cpu_percent_t1float20avg_peak_cpu_percent_t2float21avg_cpu_queue_t1float22avg_cpu_queue_t2float23peak_avg_cpu_queue_t1float24peak_avg_cpu_queue_t2float25avg_peak_cpu_queue_t1float26avg_peak_cpu_queue_t2float27peak_cpu_queue_t1float28peak_cpu_queue_t2float29avg_ram_percent_t1float30avg_ram_percent_t2float31peak_avg_ram_percent_t1float32peak_avg_ram_percent_t2float33avg_peak_ram_percent_t1float34avg_peak_ram_percent_t2float35peak_ram_percent_t1float36peak_ram_percent_t2float37min_login_delay_s_t1float38min_login_delay_s_t2float39avg_login_delay_s_t1float40avg_login_delay_s_t2float41peak_login_delay_s_t1float42peak_login_delay_s_t2float43avg_app_launch_delay_s_t1float44avg_app_launch_delay_s_t2float45peak_avg_app_launch_delay_s_t1float46peak_avg_app_launch_delay_s_t2float47total_app_anr_t1decimal48total_app_anr_t2decimal49host_count_t1decimal50host_count_t2decimal51machine_type_count_t1decimal52machine_type_count_t2decimal53machine_types_t1string54machine_types_t2string55platform_names_t1string56platform_names_t2string57platform_count_t1decimal58platform_count_t2decimal59os_version_count_t1decimal60os_version_count_t2decimal61avg_disk_used_percentage_t1float62avg_disk_used_percentage_t2float63avg_disk_queue_t1float64avg_disk_queue_t2float65avg_disk_response_time_ms_t1decimal66avg_disk_response_time_ms_t2decimal67avg_nrt_ms_t1float68avg_nrt_ms_t2float69avg_session_latency_ms_t1float70avg_session_latency_ms_t2float71total_inc_conn_count_t1decimal72total_inc_conn_count_t2decimal73total_nic_mb_t1float74total_nic_mb_t2float75avg_nic_kbps_t1float76avg_nic_kbps_t2float77avg_ux_rating_t1string78avg_ux_rating_t2stringPortal1user_count_t1user_count_t1decimal-52user_count_t2user_count_t2decimal-53machine_count_t1machine_count_t1decimal-54machine_count_t2machine_count_t2decimal-55worst_ux_score_t1worst_ux_score_t1float86worst_ux_score_t2worst_ux_score_t2float87avg_ux_score_t1avg_ux_score_t1float88avg_ux_score_t2avg_ux_score_t2float89best_ux_score_t1best_ux_score_t1float810best_ux_score_t2best_ux_score_t2float811machines_ux_good_count_t1machines_ux_good_count_t1decimal-512machines_ux_fair_count_t1machines_ux_fair_count_t1decimal-513machines_ux_poor_count_t1machines_ux_poor_count_t1decimal-514machines_ux_good_count_t2machines_ux_good_count_t2decimal-515machines_ux_fair_count_t2machines_ux_fair_count_t2decimal-516machines_ux_poor_count_t2machines_ux_poor_count_t2decimal-517avg_cpu_percent_t1avg_cpu_percent_t1float818avg_cpu_percent_t2avg_cpu_percent_t2float819avg_peak_cpu_percent_t1avg_peak_cpu_percent_t1float820avg_peak_cpu_percent_t2avg_peak_cpu_percent_t2float821avg_cpu_queue_t1avg_cpu_queue_t1float822avg_cpu_queue_t2avg_cpu_queue_t2float823peak_avg_cpu_queue_t1peak_avg_cpu_queue_t1float824peak_avg_cpu_queue_t2peak_avg_cpu_queue_t2float825avg_peak_cpu_queue_t1avg_peak_cpu_queue_t1float826avg_peak_cpu_queue_t2avg_peak_cpu_queue_t2float827peak_cpu_queue_t1peak_cpu_queue_t1float828peak_cpu_queue_t2peak_cpu_queue_t2float829avg_ram_percent_t1avg_ram_percent_t1float830avg_ram_percent_t2avg_ram_percent_t2float831peak_avg_ram_percent_t1peak_avg_ram_percent_t1float832peak_avg_ram_percent_t2peak_avg_ram_percent_t2float833avg_peak_ram_percent_t1avg_peak_ram_percent_t1float834avg_peak_ram_percent_t2avg_peak_ram_percent_t2float835peak_ram_percent_t1peak_ram_percent_t1float836peak_ram_percent_t2peak_ram_percent_t2float837min_login_delay_s_t1min_login_delay_s_t1float838min_login_delay_s_t2min_login_delay_s_t2float839avg_login_delay_s_t1avg_login_delay_s_t1float840avg_login_delay_s_t2avg_login_delay_s_t2float841peak_login_delay_s_t1peak_login_delay_s_t1float842peak_login_delay_s_t2peak_login_delay_s_t2float843avg_app_launch_delay_s_t1avg_app_launch_delay_s_t1float844avg_app_launch_delay_s_t2avg_app_launch_delay_s_t2float845peak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t1float846peak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t2float847total_app_anr_t1total_app_anr_t1decimal-548total_app_anr_t2total_app_anr_t2decimal-549host_count_t1host_count_t1decimal-550host_count_t2host_count_t2decimal-551machine_type_count_t1machine_type_count_t1decimal-552machine_type_count_t2machine_type_count_t2decimal-553machine_types_t1machine_types_t1string200354machine_types_t2machine_types_t2string200355platform_names_t1platform_names_t1string1256platform_names_t2platform_names_t2string1257platform_count_t1platform_count_t1decimal-558platform_count_t2platform_count_t2decimal-559os_version_count_t1os_version_count_t1decimal-560os_version_count_t2os_version_count_t2decimal-561avg_disk_used_percentage_t1avg_disk_used_percentage_t1float862avg_disk_used_percentage_t2avg_disk_used_percentage_t2float863avg_disk_queue_t1avg_disk_queue_t1float864avg_disk_queue_t2avg_disk_queue_t2float865avg_disk_response_time_ms_t1avg_disk_response_time_ms_t1decimal266avg_disk_response_time_ms_t2avg_disk_response_time_ms_t2decimal267avg_nrt_ms_t1avg_nrt_ms_t1float868avg_nrt_ms_t2avg_nrt_ms_t2float869avg_session_latency_ms_t1avg_session_latency_ms_t1float870avg_session_latency_ms_t2avg_session_latency_ms_t2float871total_inc_conn_count_t1total_inc_conn_count_t1decimal-572total_inc_conn_count_t2total_inc_conn_count_t2decimal-573total_nic_mb_t1total_nic_mb_t1float874total_nic_mb_t2total_nic_mb_t2float875avg_nic_kbps_t1avg_nic_kbps_t1float876avg_nic_kbps_t2avg_nic_kbps_t2float8= 2.75 then s.node_id end) as machines_ux_good_count,
count(distinct case when s.vdi_ux_overall >= 1.75 and s.vdi_ux_overall < 2.75 then s.node_id end) as machines_ux_fair_count,
count(distinct case when s.vdi_ux_overall < 1.75 then s.node_id end) as machines_ux_poor_count,
avg(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as avg_cpu_percent,
max(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as peak_avg_cpu_percent,
avg(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as avg_peak_cpu_percent,
max(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as peak_cpu_percent,
avg(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
min(lstats.login_delay_s) as min_login_delay_s,
avg(lstats.login_delay_s) as avg_login_delay_s,
max(lstats.login_delay_s) as peak_login_delay_s,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
sum(s.total_app_anr) as total_app_anr,
count(distinct s.vmhost_id) as host_count,
count(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_type_count,
array_agg(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_types,
count(distinct os.name) as platform_count,
string_agg(distinct os.name, ',') as platform_names,
count(distinct os.version) as os_version_count,
-- Physical Disk Stats
-- avg(pdisk_stats.disk_count)::float as avg_disk_count,
-- (sum(pdisk_stats.avg_read_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_read_iops,
-- (sum(pdisk_stats.avg_write_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_write_iops,
-- (sum(pdisk_stats.avg_read_io_count)/sum(pdisk_stats.dcid_seconds) + sum(pdisk_stats.avg_write_io_count)/sum(pdisk_stats.dcid_seconds)) as avg_disk_iops,
-- avg(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as avg_peak_disk_iops,
-- max(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as peak_disk_iops,
-- sum(pdisk_stats.avg_read_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_read_iorate_kbps,
-- sum(pdisk_stats.avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_write_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes + avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes)/1048576 as total_disk_read_io_mb,
-- sum(pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_write_io_mb,
-- sum(pdisk_stats.avg_read_io_bytes + pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_io_mb,
-- avg(pdisk_stats.avg_disk_used_gb) as avg_disk_used_gb,
avg(case when pdisk_stats.avg_disk_alloc_gb > 0 then least(pdisk_stats.avg_disk_used_gb/pdisk_stats.avg_disk_alloc_gb, 1) else null end) * 100 as avg_disk_used_percentage,
-- avg(pdisk_stats.avg_disk_alloc_gb) as avg_disk_alloc_gb,
-- -- round((avg(avg_size_gb) * count(distinct s.node_id))::numeric, 2) as sum_disk_size_gb,
avg(case when pdisk_stats.total_avg_queue > 0 then pdisk_stats.total_avg_queue else null end) as avg_disk_queue,
-- max(pdisk_stats.total_peak_queue) as peak_disk_queue,
avg(case when pdisk_stats.avg_disk_response_time_ms > 0 then pdisk_stats.avg_disk_response_time_ms else null end) as avg_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_peak_disk_response_time_ms > 0 then pdisk_stats.avg_peak_disk_response_time_ms else null end) as avg_peak_disk_response_time_ms,
-- max(pdisk_stats.avg_peak_disk_response_time_ms) as peak_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_disk_utilization_percent > 0 then pdisk_stats.avg_disk_utilization_percent else null end) as avg_disk_utilization_percent,
-- avg(case when pdisk_stats.avg_peak_disk_utilization_percent > 0 then pdisk_stats.avg_peak_disk_utilization_percent else null end) as avg_peak_disk_utilization_percent,
-- max(pdisk_stats.avg_peak_disk_utilization_percent) as peak_disk_utilization_percent,
-- Network
avg(case when s.avg_center_nrt > 0 then s.avg_center_nrt else null end)/1000.0 as avg_nrt_ms,
avg(case when s.avg_inc_nrt > 0 then s.avg_inc_nrt else null end)/1000.0 as avg_session_latency_ms,
sum(s.inc_conn_count) as total_inc_conn_count,
-- NIC stats
-- round((avg(nic_stats.nic_count))::numeric, 1) as nic_count,
-- sum(nic_stats.total_send_bytes) / 1048576 as total_nic_send_mb,
-- sum(nic_stats.total_receive_bytes) / 1048576 as total_nic_receive_mb,
(sum(nic_stats.total_send_bytes) + sum(nic_stats.total_receive_bytes)) / 1048576 as total_nic_mb,
-- (sum(nic_stats.total_send_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_send_kbps,
-- (sum(nic_stats.total_receive_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_receive_kbps,
((sum(nic_stats.total_send_bytes) / sum(nic_stats.ncid_seconds)) + (sum(total_receive_bytes) / sum(s.scid_seconds))) / 1024 as avg_nic_kbps
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
join (
select
nde.id as node_id,
nde.os_id,
nde.vmtype,
nde.vmhost_id,
nde.fqmn,
age(current_timestamp, nde.bios_date) as machine_age,
age(current_timestamp, nde.last_boot_time) as machine_up_time,
nde_hw_cpu.cores_per_cpu as cores_per_cpu,
nde_hw_cpu.cpu_speed_mhz as cpu_speed_mhz,
nde_hw_cpu.cpu_count,
nde_hw_cpu.total_cpu_alloc_cores,
nde_hw_cpu.total_cpu_alloc_mhz
from
tnt_config.node nde
join (
select
hardware_id,
max(cores) as cores_per_cpu,
round(avg(speed_mhz)::numeric, 0) as cpu_speed_mhz,
count(distinct id) as cpu_count,
sum(cores) as total_cpu_alloc_cores,
sum(speed_mhz * cores) as total_cpu_alloc_mhz
from
tnt_config.node_hardware_cpus
group by
hardware_id
) nde_hw_cpu on (nde_hw_cpu.hardware_id = nde.hardware_id)
where
nde.delete_time is null
and nde.ihostversion is not null
) nde on (nde.node_id = s.node_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.policyidentity pi on (pi.id = s.user_id and pi.delete_time is null and pi.type = 1)
-- left outer join tnt_config.vmhost vmh on (vmh.id = case when s.vmhost_id is null then nde.vmhost_id else s.vmhost_id end)
-- Login stats: summaryreport_login_stats
left outer join(
select
s.node_id,
s.start_date,
s.end_date,
cast(s.details->'session' as int) as session_id,
-- s.user_os_id as user_guid,
s.user_id as user_id,
-- lower(pi.name) as user_name,
-- lower(s.name) as user_domain_name,
-- split_part(lower(s.name), '@', 2) as domain_name,
s.login_time,
s.logout_time,
s.first_record,
s.login_delay_ms,
(case when s.first_record is true then s.login_delay_ms/1000.0 else null end) as login_delay_s,
s.is_admin,
s.secs_active,
cast(s.details->'idle' as float) as session_callback_idle_min,
cast(s.details->'idle_total' as float) as session_total_idle_min,
-- s.network_id,
s.remote_ip,
s.remote_machine_name,
-- cast(s.details->'preloginActTime' as float) as pre_login_actual_time_ms,
-- -- cast(s.details->'breakdownLoginTimeEpochMs' as float) as login_breakdown_time_epoch_ms,
-- to_timestamp(cast(s.details->'breakdownLoginTimeEpochMs' as bigint)/1000) as login_breakdown_time_utc,
-- cast(s.details->'postloginActTime' as float) as post_login_actual_time_ms,
-- cast(s.details->'DCDiscoveryTime' as float) as dc_discovery_time_ms,
-- cast(s.details->'DCIP' as inet) as dc_ip,
-- cast(s.details->'DCName' as text) as dc_name,
-- cast(s.details->'authenticationTime' as float) as authentication_time_ms,
-- cast(s.details->'GPComputerTime' as float) as gp_computer_time_ms,
-- cast(s.details->'GPScriptsTime' as float) as gp_scripts_time_ms,
-- cast(s.details->'GPUserTime' as float) as gp_user_time_ms,
-- cast(s.details->'NetworkPrividerTime' as float) as network_provider_time_ms,
-- cast(s.details->'UserProfileTime' as float) as user_profile_time_ms,
-- cast(s.details->'abnormalEvents' as int) as abnormal_events,
-- cast(s.details->'loadShellTime' as float) as load_shell_time_ms,
-- cast(s.details->'restoreNetworkTime' as float) as restore_network_time_ms,
-- cast(s.details->'themeslogonTime' as float) as themes_logon_time_ms,
-- cast(s.details->'updateUserParameterTime' as float) as update_user_parameter_time_ms,
-- s.details,
greatest(extract(epoch from s.end_date - s.start_date), 1) as lcid_seconds
from
tnt_audit.summaryreport_login_stats s
where
(s.end_date between ? and ?)
-- User group filer
and ('%' = ? or s.user_id is null or s.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) lstats on (
lstats.node_id = s.node_id
and lstats.start_date = s.start_date
and lstats.end_date = s.end_date
and lstats.user_id = s.user_id
)
-- Physical disk stats: summaryreport_disk_stats
left outer join (
-- Sum up numbers across disks by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
count(distinct lower(s.name)) as disk_count,
string_agg(s.name, ',') as disk_names,
string_agg(s.disk_label, ',') as disk_labels,
s.datastore_id,
s.datastore_name,
count(distinct s.datastore_id) as datastore_count,
string_agg(distinct s.datastore_name, ',') as datastore_names,
sum(avg_read_iops) as avg_read_iops,
sum(peak_read_iops) as peak_read_iops,
sum(avg_write_iops) as avg_write_iops,
sum(peak_write_iops) as peak_write_iops,
sum(avg_read_io_count) as avg_read_io_count,
sum(avg_read_io_count) / avg(dcid_seconds) as avg_read_iops,
sum(avg_write_io_count) as avg_write_io_count,
sum(avg_write_io_count) / avg(dcid_seconds) as avg_write_iops,
sum(avg_read_io_bytes) as avg_read_io_bytes,
sum(avg_read_io_bytes) / avg(dcid_seconds) as avg_read_bytesps,
sum(avg_write_io_bytes) as avg_write_io_bytes,
sum(avg_write_io_bytes) / avg(dcid_seconds) as avg_write_bytesps,
sum(avg_read_rate_bytesps) as avg_read_rate_bytesps,
sum(avg_write_rate_bytesps) as avg_write_rate_bytesps,
sum(avg_disk_alloc_kb) as avg_disk_alloc_kb,
sum(avg_disk_used_kb) as avg_disk_used_kb,
sum(avg_disk_used_kb)/1048576 as avg_disk_used_gb,
sum(avg_disk_alloc_kb)/1048576 as avg_disk_alloc_gb,
avg(case when avg_queue > 0 then avg_queue else null end) as avg_queue,
max(avg_queue) as peak_avg_queue,
sum(avg_queue) as total_avg_queue,
avg(case when peak_queue > 0 then peak_queue else null end) as avg_peak_queue,
max(peak_queue) as peak_queue,
sum(peak_queue) as total_peak_queue,
avg(case when avg_read_latency_ms > 0 then avg_read_latency_ms else null end) as avg_read_latency_ms,
max(avg_read_latency_ms) as peak_avg_read_latency_ms,
avg(case when peak_read_latency_ms > 0 then peak_read_latency_ms else null end) as avg_peak_read_latency_ms,
max(peak_read_latency_ms) as peak_read_latency_ms,
avg(case when avg_write_latency_ms > 0 then avg_write_latency_ms else null end) as avg_write_latency_ms,
max(avg_write_latency_ms) as peak_avg_write_latency_ms,
avg(case when peak_write_latency_ms > 0 then peak_write_latency_ms else null end) as avg_peak_write_latency_ms,
max(peak_write_latency_ms) as peak_write_latency_ms,
avg(avg_disk_utilization_percent) as avg_disk_utilization_percent,
avg(peak_disk_utilization_percent) as avg_peak_disk_utilization_percent,
avg(avg_disk_response_time_ms) as avg_disk_response_time_ms,
avg(peak_disk_response_time_ms) as avg_peak_disk_response_time_ms,
avg(dcid_seconds) as dcid_seconds
from (
-- This is at the node_id, start_date, end_date, disk_name level
select
s.node_id,
s.start_date,
s.end_date,
s.disk_id,
s.name,
s.device,
cast(s.details->'label' as text) as disk_label,
s.vdisk_datastoreid as datastore_id,
-- case when ds.name not ilike 'Unknown' then ds.name else '' end as datastore_name,
case when ds.name not ilike 'Unknown' then ds.name else null end as datastore_name,
1 as disk_count,
s.read_avg as avg_read_iops,
s.read_peak as peak_read_iops,
s.write_avg as avg_write_iops,
s.write_peak as peak_write_iops,
(s.read_avg * s.dcid_seconds) as avg_read_io_count,
(s.write_avg * s.dcid_seconds) as avg_write_io_count,
(s.read_io_avg * 1024 * s.dcid_seconds) as avg_read_io_bytes,
(s.write_io_avg * 1024 * s.dcid_seconds) as avg_write_io_bytes,
(s.read_io_avg * 1024) as avg_read_rate_bytesps,
(s.write_io_avg * 1024) as avg_write_rate_bytesps,
s.avg_used as avg_disk_used_kb,
s.size as avg_disk_alloc_kb,
s.queue_avg as avg_queue,
s.queue_peak as peak_queue,
cast(s.details->'readLatencyAverage' as numeric) as avg_read_latency_ms,
cast(s.details->'readLatencyPeak' as numeric) as peak_read_latency_ms,
cast(s.details->'writeLatencyAverage' as numeric) as avg_write_latency_ms,
cast(s.details->'writeLatencyPeak' as numeric) as peak_write_latency_ms,
cast(s.details->'utilizationPercentMin' as numeric) as min_disk_utilization_percent,
cast(s.details->'utilizationPercentAverage' as numeric) as avg_disk_utilization_percent,
cast(s.details->'utilizationPercentPeak' as numeric) as peak_disk_utilization_percent,
cast(s.details->'responseTimeMSMin' as numeric) as min_disk_response_time_ms,
cast(s.details->'responseTimeMSAverage' as numeric) as avg_disk_response_time_ms,
cast(s.details->'responseTimeMSPeak' as numeric) as peak_disk_response_time_ms,
s.dcid_seconds
from (
select
s.*,
greatest(extract(epoch from s.end_date - s.start_date), 1) as dcid_seconds
from
tnt_audit.summaryreport_disk_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
left outer join tnt_config.datastore ds on (ds.id = s.vdisk_datastoreid and ds.delete_time is null)
) s
group by
s.node_id,
s.start_date,
s.end_date,
s.datastore_id,
s.datastore_name
) pdisk_stats on (
pdisk_stats.node_id = s.node_id
and pdisk_stats.start_date = s.start_date
and pdisk_stats.end_date = s.end_date
) -- summaryreport_disk_stats
-- NIC stats
left outer join (
-- Sum up numbers across nics by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
sum(s.nic_count) as nic_count,
string_agg(distinct (array_to_string(s.ip_addresses,',')), ',' ) as ip_addresses,
sum(s.total_send_bytes) as total_send_bytes,
sum(s.total_send_bytes) / avg(s.ncid_seconds) as avg_send_bytesps,
sum(s.peak_send_bytesps) as peak_send_bytesps,
sum(s.total_receive_bytes) as total_receive_bytes,
sum(s.total_receive_bytes) / avg(s.ncid_seconds) as avg_receive_bytesps,
sum(s.peak_receive_bytesps) as peak_receive_bytesps,
avg(s.ncid_seconds) as ncid_seconds
from (
-- This is at the node_id, start_date, end_date, nic name level
select
s.node_id,
s.start_date,
s.end_date,
s.name,
1 as nic_count,
case when s.addresses is null then array['0.0.0.0/32'::inet] else s.addresses end as ip_addresses,
(send_total * 1024) as total_send_bytes,
(send_peak * 1024) as peak_send_bytesps,
(receive_total * 1024) as total_receive_bytes,
(receive_peak * 1024) as peak_receive_bytesps,
greatest(extract(epoch from s.end_date - s.start_date), 1) as ncid_seconds
from
tnt_audit.summaryreport_nic_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
and (s.speed > 0)
) s
group by
s.node_id,
s.start_date,
s.end_date
) nic_stats on (
nic_stats.node_id = s.node_id
and nic_stats.start_date = s.start_date
and nic_stats.end_date = s.end_date
) -- summaryreport_nic_stats
) s_t1
left outer join (
select
count(distinct s.user_id) as user_count,
count(distinct s.node_id) as machine_count,
min(s.vdi_ux_overall) as worst_ux_score,
avg(s.vdi_ux_overall) as avg_ux_score,
max(s.vdi_ux_overall) as best_ux_score,
count(distinct case when s.vdi_ux_overall >= 2.75 then s.node_id end) as machines_ux_good_count,
count(distinct case when s.vdi_ux_overall >= 1.75 and s.vdi_ux_overall < 2.75 then s.node_id end) as machines_ux_fair_count,
count(distinct case when s.vdi_ux_overall < 1.75 then s.node_id end) as machines_ux_poor_count,
avg(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as avg_cpu_percent,
max(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as peak_avg_cpu_percent,
avg(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as avg_peak_cpu_percent,
max(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as peak_cpu_percent,
avg(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
min(lstats.login_delay_s) as min_login_delay_s,
avg(lstats.login_delay_s) as avg_login_delay_s,
max(lstats.login_delay_s) as peak_login_delay_s,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
sum(s.total_app_anr) as total_app_anr,
count(distinct s.vmhost_id) as host_count,
count(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_type_count,
array_agg(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_types,
count(distinct os.name) as platform_count,
string_agg(distinct os.name, ',') as platform_names,
count(distinct os.version) as os_version_count,
-- Physical Disk Stats
-- avg(pdisk_stats.disk_count)::float as avg_disk_count,
-- (sum(pdisk_stats.avg_read_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_read_iops,
-- (sum(pdisk_stats.avg_write_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_write_iops,
-- (sum(pdisk_stats.avg_read_io_count)/sum(pdisk_stats.dcid_seconds) + sum(pdisk_stats.avg_write_io_count)/sum(pdisk_stats.dcid_seconds)) as avg_disk_iops,
-- avg(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as avg_peak_disk_iops,
-- max(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as peak_disk_iops,
-- sum(pdisk_stats.avg_read_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_read_iorate_kbps,
-- sum(pdisk_stats.avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_write_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes + avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes)/1048576 as total_disk_read_io_mb,
-- sum(pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_write_io_mb,
-- sum(pdisk_stats.avg_read_io_bytes + pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_io_mb,
-- avg(pdisk_stats.avg_disk_used_gb) as avg_disk_used_gb,
avg(case when pdisk_stats.avg_disk_alloc_gb > 0 then least(pdisk_stats.avg_disk_used_gb/pdisk_stats.avg_disk_alloc_gb, 1) else null end) * 100 as avg_disk_used_percentage,
-- avg(pdisk_stats.avg_disk_alloc_gb) as avg_disk_alloc_gb,
-- -- round((avg(avg_size_gb) * count(distinct s.node_id))::numeric, 2) as sum_disk_size_gb,
avg(case when pdisk_stats.total_avg_queue > 0 then pdisk_stats.total_avg_queue else null end) as avg_disk_queue,
-- max(pdisk_stats.total_peak_queue) as peak_disk_queue,
avg(case when pdisk_stats.avg_disk_response_time_ms > 0 then pdisk_stats.avg_disk_response_time_ms else null end) as avg_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_peak_disk_response_time_ms > 0 then pdisk_stats.avg_peak_disk_response_time_ms else null end) as avg_peak_disk_response_time_ms,
-- max(pdisk_stats.avg_peak_disk_response_time_ms) as peak_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_disk_utilization_percent > 0 then pdisk_stats.avg_disk_utilization_percent else null end) as avg_disk_utilization_percent,
-- avg(case when pdisk_stats.avg_peak_disk_utilization_percent > 0 then pdisk_stats.avg_peak_disk_utilization_percent else null end) as avg_peak_disk_utilization_percent,
-- max(pdisk_stats.avg_peak_disk_utilization_percent) as peak_disk_utilization_percent,
-- Network
avg(case when s.avg_center_nrt > 0 then s.avg_center_nrt else null end)/1000.0 as avg_nrt_ms,
avg(case when s.avg_inc_nrt > 0 then s.avg_inc_nrt else null end)/1000.0 as avg_session_latency_ms,
sum(s.inc_conn_count) as total_inc_conn_count,
-- NIC stats
-- round((avg(nic_stats.nic_count))::numeric, 1) as nic_count,
-- sum(nic_stats.total_send_bytes) / 1048576 as total_nic_send_mb,
-- sum(nic_stats.total_receive_bytes) / 1048576 as total_nic_receive_mb,
(sum(nic_stats.total_send_bytes) + sum(nic_stats.total_receive_bytes)) / 1048576 as total_nic_mb,
-- (sum(nic_stats.total_send_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_send_kbps,
-- (sum(nic_stats.total_receive_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_receive_kbps,
((sum(nic_stats.total_send_bytes) / sum(nic_stats.ncid_seconds)) + (sum(total_receive_bytes) / sum(s.scid_seconds))) / 1024 as avg_nic_kbps
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
join (
select
nde.id as node_id,
nde.os_id,
nde.vmtype,
nde.vmhost_id,
nde.fqmn,
age(current_timestamp, nde.bios_date) as machine_age,
age(current_timestamp, nde.last_boot_time) as machine_up_time,
nde_hw_cpu.cores_per_cpu as cores_per_cpu,
nde_hw_cpu.cpu_speed_mhz as cpu_speed_mhz,
nde_hw_cpu.cpu_count,
nde_hw_cpu.total_cpu_alloc_cores,
nde_hw_cpu.total_cpu_alloc_mhz
from
tnt_config.node nde
join (
select
hardware_id,
max(cores) as cores_per_cpu,
round(avg(speed_mhz)::numeric, 0) as cpu_speed_mhz,
count(distinct id) as cpu_count,
sum(cores) as total_cpu_alloc_cores,
sum(speed_mhz * cores) as total_cpu_alloc_mhz
from
tnt_config.node_hardware_cpus
group by
hardware_id
) nde_hw_cpu on (nde_hw_cpu.hardware_id = nde.hardware_id)
where
nde.delete_time is null
and nde.ihostversion is not null
) nde on (nde.node_id = s.node_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.policyidentity pi on (pi.id = s.user_id and pi.delete_time is null and pi.type = 1)
-- left outer join tnt_config.vmhost vmh on (vmh.id = case when s.vmhost_id is null then nde.vmhost_id else s.vmhost_id end)
-- Login stats: summaryreport_login_stats
left outer join(
select
s.node_id,
s.start_date,
s.end_date,
cast(s.details->'session' as int) as session_id,
-- s.user_os_id as user_guid,
s.user_id as user_id,
-- lower(pi.name) as user_name,
-- lower(s.name) as user_domain_name,
-- split_part(lower(s.name), '@', 2) as domain_name,
s.login_time,
s.logout_time,
s.first_record,
s.login_delay_ms,
(case when s.first_record is true then s.login_delay_ms/1000.0 else null end) as login_delay_s,
s.is_admin,
s.secs_active,
cast(s.details->'idle' as float) as session_callback_idle_min,
cast(s.details->'idle_total' as float) as session_total_idle_min,
-- s.network_id,
s.remote_ip,
s.remote_machine_name,
-- cast(s.details->'preloginActTime' as float) as pre_login_actual_time_ms,
-- -- cast(s.details->'breakdownLoginTimeEpochMs' as float) as login_breakdown_time_epoch_ms,
-- to_timestamp(cast(s.details->'breakdownLoginTimeEpochMs' as bigint)/1000) as login_breakdown_time_utc,
-- cast(s.details->'postloginActTime' as float) as post_login_actual_time_ms,
-- cast(s.details->'DCDiscoveryTime' as float) as dc_discovery_time_ms,
-- cast(s.details->'DCIP' as inet) as dc_ip,
-- cast(s.details->'DCName' as text) as dc_name,
-- cast(s.details->'authenticationTime' as float) as authentication_time_ms,
-- cast(s.details->'GPComputerTime' as float) as gp_computer_time_ms,
-- cast(s.details->'GPScriptsTime' as float) as gp_scripts_time_ms,
-- cast(s.details->'GPUserTime' as float) as gp_user_time_ms,
-- cast(s.details->'NetworkPrividerTime' as float) as network_provider_time_ms,
-- cast(s.details->'UserProfileTime' as float) as user_profile_time_ms,
-- cast(s.details->'abnormalEvents' as int) as abnormal_events,
-- cast(s.details->'loadShellTime' as float) as load_shell_time_ms,
-- cast(s.details->'restoreNetworkTime' as float) as restore_network_time_ms,
-- cast(s.details->'themeslogonTime' as float) as themes_logon_time_ms,
-- cast(s.details->'updateUserParameterTime' as float) as update_user_parameter_time_ms,
-- s.details,
greatest(extract(epoch from s.end_date - s.start_date), 1) as lcid_seconds
from
tnt_audit.summaryreport_login_stats s
where
(s.end_date between ? and ?)
-- User group filer
and ('%' = ? or s.user_id is null or s.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) lstats on (
lstats.node_id = s.node_id
and lstats.start_date = s.start_date
and lstats.end_date = s.end_date
and lstats.user_id = s.user_id
)
-- Physical disk stats: summaryreport_disk_stats
left outer join (
-- Sum up numbers across disks by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
count(distinct lower(s.name)) as disk_count,
string_agg(s.name, ',') as disk_names,
string_agg(s.disk_label, ',') as disk_labels,
s.datastore_id,
s.datastore_name,
count(distinct s.datastore_id) as datastore_count,
string_agg(distinct s.datastore_name, ',') as datastore_names,
sum(avg_read_iops) as avg_read_iops,
sum(peak_read_iops) as peak_read_iops,
sum(avg_write_iops) as avg_write_iops,
sum(peak_write_iops) as peak_write_iops,
sum(avg_read_io_count) as avg_read_io_count,
sum(avg_read_io_count) / avg(dcid_seconds) as avg_read_iops,
sum(avg_write_io_count) as avg_write_io_count,
sum(avg_write_io_count) / avg(dcid_seconds) as avg_write_iops,
sum(avg_read_io_bytes) as avg_read_io_bytes,
sum(avg_read_io_bytes) / avg(dcid_seconds) as avg_read_bytesps,
sum(avg_write_io_bytes) as avg_write_io_bytes,
sum(avg_write_io_bytes) / avg(dcid_seconds) as avg_write_bytesps,
sum(avg_read_rate_bytesps) as avg_read_rate_bytesps,
sum(avg_write_rate_bytesps) as avg_write_rate_bytesps,
sum(avg_disk_alloc_kb) as avg_disk_alloc_kb,
sum(avg_disk_used_kb) as avg_disk_used_kb,
sum(avg_disk_used_kb)/1048576 as avg_disk_used_gb,
sum(avg_disk_alloc_kb)/1048576 as avg_disk_alloc_gb,
avg(case when avg_queue > 0 then avg_queue else null end) as avg_queue,
max(avg_queue) as peak_avg_queue,
sum(avg_queue) as total_avg_queue,
avg(case when peak_queue > 0 then peak_queue else null end) as avg_peak_queue,
max(peak_queue) as peak_queue,
sum(peak_queue) as total_peak_queue,
avg(case when avg_read_latency_ms > 0 then avg_read_latency_ms else null end) as avg_read_latency_ms,
max(avg_read_latency_ms) as peak_avg_read_latency_ms,
avg(case when peak_read_latency_ms > 0 then peak_read_latency_ms else null end) as avg_peak_read_latency_ms,
max(peak_read_latency_ms) as peak_read_latency_ms,
avg(case when avg_write_latency_ms > 0 then avg_write_latency_ms else null end) as avg_write_latency_ms,
max(avg_write_latency_ms) as peak_avg_write_latency_ms,
avg(case when peak_write_latency_ms > 0 then peak_write_latency_ms else null end) as avg_peak_write_latency_ms,
max(peak_write_latency_ms) as peak_write_latency_ms,
avg(avg_disk_utilization_percent) as avg_disk_utilization_percent,
avg(peak_disk_utilization_percent) as avg_peak_disk_utilization_percent,
avg(avg_disk_response_time_ms) as avg_disk_response_time_ms,
avg(peak_disk_response_time_ms) as avg_peak_disk_response_time_ms,
avg(dcid_seconds) as dcid_seconds
from (
-- This is at the node_id, start_date, end_date, disk_name level
select
s.node_id,
s.start_date,
s.end_date,
s.disk_id,
s.name,
s.device,
cast(s.details->'label' as text) as disk_label,
s.vdisk_datastoreid as datastore_id,
-- case when ds.name not ilike 'Unknown' then ds.name else '' end as datastore_name,
case when ds.name not ilike 'Unknown' then ds.name else null end as datastore_name,
1 as disk_count,
s.read_avg as avg_read_iops,
s.read_peak as peak_read_iops,
s.write_avg as avg_write_iops,
s.write_peak as peak_write_iops,
(s.read_avg * s.dcid_seconds) as avg_read_io_count,
(s.write_avg * s.dcid_seconds) as avg_write_io_count,
(s.read_io_avg * 1024 * s.dcid_seconds) as avg_read_io_bytes,
(s.write_io_avg * 1024 * s.dcid_seconds) as avg_write_io_bytes,
(s.read_io_avg * 1024) as avg_read_rate_bytesps,
(s.write_io_avg * 1024) as avg_write_rate_bytesps,
s.avg_used as avg_disk_used_kb,
s.size as avg_disk_alloc_kb,
s.queue_avg as avg_queue,
s.queue_peak as peak_queue,
cast(s.details->'readLatencyAverage' as numeric) as avg_read_latency_ms,
cast(s.details->'readLatencyPeak' as numeric) as peak_read_latency_ms,
cast(s.details->'writeLatencyAverage' as numeric) as avg_write_latency_ms,
cast(s.details->'writeLatencyPeak' as numeric) as peak_write_latency_ms,
cast(s.details->'utilizationPercentMin' as numeric) as min_disk_utilization_percent,
cast(s.details->'utilizationPercentAverage' as numeric) as avg_disk_utilization_percent,
cast(s.details->'utilizationPercentPeak' as numeric) as peak_disk_utilization_percent,
cast(s.details->'responseTimeMSMin' as numeric) as min_disk_response_time_ms,
cast(s.details->'responseTimeMSAverage' as numeric) as avg_disk_response_time_ms,
cast(s.details->'responseTimeMSPeak' as numeric) as peak_disk_response_time_ms,
s.dcid_seconds
from (
select
s.*,
greatest(extract(epoch from s.end_date - s.start_date), 1) as dcid_seconds
from
tnt_audit.summaryreport_disk_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
left outer join tnt_config.datastore ds on (ds.id = s.vdisk_datastoreid and ds.delete_time is null)
) s
group by
s.node_id,
s.start_date,
s.end_date,
s.datastore_id,
s.datastore_name
) pdisk_stats on (
pdisk_stats.node_id = s.node_id
and pdisk_stats.start_date = s.start_date
and pdisk_stats.end_date = s.end_date
) -- summaryreport_disk_stats
-- NIC stats
left outer join (
-- Sum up numbers across nics by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
sum(s.nic_count) as nic_count,
string_agg(distinct (array_to_string(s.ip_addresses,',')), ',' ) as ip_addresses,
sum(s.total_send_bytes) as total_send_bytes,
sum(s.total_send_bytes) / avg(s.ncid_seconds) as avg_send_bytesps,
sum(s.peak_send_bytesps) as peak_send_bytesps,
sum(s.total_receive_bytes) as total_receive_bytes,
sum(s.total_receive_bytes) / avg(s.ncid_seconds) as avg_receive_bytesps,
sum(s.peak_receive_bytesps) as peak_receive_bytesps,
avg(s.ncid_seconds) as ncid_seconds
from (
-- This is at the node_id, start_date, end_date, nic name level
select
s.node_id,
s.start_date,
s.end_date,
s.name,
1 as nic_count,
case when s.addresses is null then array['0.0.0.0/32'::inet] else s.addresses end as ip_addresses,
(send_total * 1024) as total_send_bytes,
(send_peak * 1024) as peak_send_bytesps,
(receive_total * 1024) as total_receive_bytes,
(receive_peak * 1024) as peak_receive_bytesps,
greatest(extract(epoch from s.end_date - s.start_date), 1) as ncid_seconds
from
tnt_audit.summaryreport_nic_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
and (s.speed > 0)
) s
group by
s.node_id,
s.start_date,
s.end_date
) nic_stats on (
nic_stats.node_id = s.node_id
and nic_stats.start_date = s.start_date
and nic_stats.end_date = s.end_date
) -- summaryreport_nic_stats
) s_t2 on (true)
;]]>2.0In19300UnknownIn29300UnknownIn31200UnknownIn41200UnknownIn51200UnknownIn61200UnknownIn79300UnknownIn89300UnknownIn91200UnknownIn101200UnknownIn111200UnknownIn121200UnknownIn139300UnknownIn149300UnknownIn151200UnknownIn161200UnknownIn179300UnknownIn189300UnknownIn191200UnknownIn201200UnknownIn219300UnknownIn229300UnknownIn231200UnknownIn241200UnknownIn251200UnknownIn261200UnknownIn279300UnknownIn289300UnknownIn291200UnknownIn301200UnknownIn311200UnknownIn321200UnknownIn339300UnknownIn349300UnknownIn351200UnknownIn361200UnknownIn379300UnknownIn389300UnknownIn391200UnknownIn401200Unknownuser_count_t11-5190Unknownuser_count_t1user_count_t120user_count_t22-5190Unknownuser_count_t2user_count_t220machine_count_t13-5190Unknownmachine_count_t1machine_count_t120machine_count_t24-5190Unknownmachine_count_t2machine_count_t220worst_ux_score_t1581717Unknownworst_ux_score_t1worst_ux_score_t125worst_ux_score_t2681717Unknownworst_ux_score_t2worst_ux_score_t225avg_ux_score_t1781717Unknownavg_ux_score_t1avg_ux_score_t125avg_ux_score_t2881717Unknownavg_ux_score_t2avg_ux_score_t225best_ux_score_t1981717Unknownbest_ux_score_t1best_ux_score_t125best_ux_score_t21081717Unknownbest_ux_score_t2best_ux_score_t225avg_cpu_percent_t11181717Unknownavg_cpu_percent_t1avg_cpu_percent_t125avg_cpu_percent_t21281717Unknownavg_cpu_percent_t2avg_cpu_percent_t225avg_peak_cpu_percent_t11381717Unknownavg_peak_cpu_percent_t1avg_peak_cpu_percent_t125avg_peak_cpu_percent_t21481717Unknownavg_peak_cpu_percent_t2avg_peak_cpu_percent_t225avg_cpu_queue_t11581717Unknownavg_cpu_queue_t1avg_cpu_queue_t125avg_cpu_queue_t21681717Unknownavg_cpu_queue_t2avg_cpu_queue_t225peak_avg_cpu_queue_t11781717Unknownpeak_avg_cpu_queue_t1peak_avg_cpu_queue_t125peak_avg_cpu_queue_t21881717Unknownpeak_avg_cpu_queue_t2peak_avg_cpu_queue_t225avg_peak_cpu_queue_t11981717Unknownavg_peak_cpu_queue_t1avg_peak_cpu_queue_t125avg_peak_cpu_queue_t22081717Unknownavg_peak_cpu_queue_t2avg_peak_cpu_queue_t225peak_cpu_queue_t12181717Unknownpeak_cpu_queue_t1peak_cpu_queue_t125peak_cpu_queue_t22281717Unknownpeak_cpu_queue_t2peak_cpu_queue_t225avg_ram_percent_t12381717Unknownavg_ram_percent_t1avg_ram_percent_t125avg_ram_percent_t22481717Unknownavg_ram_percent_t2avg_ram_percent_t225peak_avg_ram_percent_t12581717Unknownpeak_avg_ram_percent_t1peak_avg_ram_percent_t125peak_avg_ram_percent_t22681717Unknownpeak_avg_ram_percent_t2peak_avg_ram_percent_t225avg_peak_ram_percent_t12781717Unknownavg_peak_ram_percent_t1avg_peak_ram_percent_t125avg_peak_ram_percent_t22881717Unknownavg_peak_ram_percent_t2avg_peak_ram_percent_t225peak_ram_percent_t12981717Unknownpeak_ram_percent_t1peak_ram_percent_t125peak_ram_percent_t23081717Unknownpeak_ram_percent_t2peak_ram_percent_t225total_app_anr_t131-5190Unknowntotal_app_anr_t1total_app_anr_t120total_app_anr_t232-5190Unknowntotal_app_anr_t2total_app_anr_t220avg_app_launch_delay_s_t13381717Unknownavg_app_launch_delay_s_t1avg_app_launch_delay_s_t125avg_app_launch_delay_s_t23481717Unknownavg_app_launch_delay_s_t2avg_app_launch_delay_s_t225peak_avg_app_launch_delay_s_t13581717Unknownpeak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t125peak_avg_app_launch_delay_s_t23681717Unknownpeak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t225host_count_t137-5190Unknownhost_count_t1host_count_t120host_count_t238-5190Unknownhost_count_t2host_count_t220]]>avg_ux_rating_t1//convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t1"], 2));
convertVDIUXScoreToLabelString(dataSetRow["avg_ux_score_t1"]);stringavg_ux_rating_t2//convertVDIUXScoreToLabelString(truncateToDecimalPoint(dataSetRow["avg_ux_score_t2"], 2));
convertVDIUXScoreToLabelString(dataSetRow["avg_ux_score_t2"]);stringuser_count_t1measureuser_count_t1user_count_t1user_count_t2measureuser_count_t2user_count_t2machine_count_t1measuremachine_count_t1machine_count_t1machine_count_t2measuremachine_count_t2machine_count_t2machine_labeldimensionmachine_labelmachine_labelmachine_registered_countmeasuremachine_registered_countmachine_registered_countmachine_license_countmeasuremachine_license_countmachine_license_countmachine_total_countmeasuremachine_total_countmachine_total_countuser_labeldimensionuser_labeluser_labeluser_registered_countmeasureuser_registered_countuser_registered_countuser_license_countmeasureuser_license_countuser_license_countuser_total_countmeasureuser_total_countuser_total_countworst_ux_score_t1measureworst_ux_score_t1worst_ux_score_t1worst_ux_score_t2measureworst_ux_score_t2worst_ux_score_t2avg_ux_score_t1measureavg_ux_score_t1avg_ux_score_t1avg_ux_score_t2measureavg_ux_score_t2avg_ux_score_t2best_ux_score_t1measurebest_ux_score_t1best_ux_score_t1best_ux_score_t2measurebest_ux_score_t2best_ux_score_t2machines_ux_good_count_t1measuremachines_ux_good_count_t1machines_ux_good_count_t1machines_ux_fair_count_t1measuremachines_ux_fair_count_t1machines_ux_fair_count_t1machines_ux_poor_count_t1measuremachines_ux_poor_count_t1machines_ux_poor_count_t1machines_ux_good_count_t2measuremachines_ux_good_count_t2machines_ux_good_count_t2machines_ux_fair_count_t2measuremachines_ux_fair_count_t2machines_ux_fair_count_t2machines_ux_poor_count_t2measuremachines_ux_poor_count_t2machines_ux_poor_count_t2avg_cpu_percent_t1measureavg_cpu_percent_t1avg_cpu_percent_t1avg_cpu_percent_t2measureavg_cpu_percent_t2avg_cpu_percent_t2avg_peak_cpu_percent_t1measureavg_peak_cpu_percent_t1avg_peak_cpu_percent_t1avg_peak_cpu_percent_t2measureavg_peak_cpu_percent_t2avg_peak_cpu_percent_t2avg_cpu_queue_t1measureavg_cpu_queue_t1avg_cpu_queue_t1avg_cpu_queue_t2measureavg_cpu_queue_t2avg_cpu_queue_t2peak_avg_cpu_queue_t1measurepeak_avg_cpu_queue_t1peak_avg_cpu_queue_t1peak_avg_cpu_queue_t2measurepeak_avg_cpu_queue_t2peak_avg_cpu_queue_t2avg_peak_cpu_queue_t1measureavg_peak_cpu_queue_t1avg_peak_cpu_queue_t1avg_peak_cpu_queue_t2measureavg_peak_cpu_queue_t2avg_peak_cpu_queue_t2peak_cpu_queue_t1measurepeak_cpu_queue_t1peak_cpu_queue_t1peak_cpu_queue_t2measurepeak_cpu_queue_t2peak_cpu_queue_t2avg_ram_percent_t1measureavg_ram_percent_t1avg_ram_percent_t1avg_ram_percent_t2measureavg_ram_percent_t2avg_ram_percent_t2peak_avg_ram_percent_t1measurepeak_avg_ram_percent_t1peak_avg_ram_percent_t1peak_avg_ram_percent_t2measurepeak_avg_ram_percent_t2peak_avg_ram_percent_t2avg_peak_ram_percent_t1measureavg_peak_ram_percent_t1avg_peak_ram_percent_t1avg_peak_ram_percent_t2measureavg_peak_ram_percent_t2avg_peak_ram_percent_t2peak_ram_percent_t1measurepeak_ram_percent_t1peak_ram_percent_t1peak_ram_percent_t2measurepeak_ram_percent_t2peak_ram_percent_t2min_login_delay_s_t1measuremin_login_delay_s_t1min_login_delay_s_t1min_login_delay_s_t2measuremin_login_delay_s_t2min_login_delay_s_t2avg_login_delay_s_t1measureavg_login_delay_s_t1avg_login_delay_s_t1avg_login_delay_s_t2measureavg_login_delay_s_t2avg_login_delay_s_t2peak_login_delay_s_t1measurepeak_login_delay_s_t1peak_login_delay_s_t1peak_login_delay_s_t2measurepeak_login_delay_s_t2peak_login_delay_s_t2desk_app_id_count_t1measuredesk_app_id_count_t1desk_app_id_count_t1desk_app_id_count_t2measuredesk_app_id_count_t2desk_app_id_count_t2desk_app_name_count_t1measuredesk_app_name_count_t1desk_app_name_count_t1desk_app_name_count_t2measuredesk_app_name_count_t2desk_app_name_count_t2desk_app_process_name_count_t1measuredesk_app_process_name_count_t1desk_app_process_name_count_t1desk_app_process_name_count_t2measuredesk_app_process_name_count_t2desk_app_process_name_count_t2desk_app_id_fg_count_t1measuredesk_app_id_fg_count_t1desk_app_id_fg_count_t1desk_app_id_fg_count_t2measuredesk_app_id_fg_count_t2desk_app_id_fg_count_t2desk_app_name_fg_count_t1measuredesk_app_name_fg_count_t1desk_app_name_fg_count_t1desk_app_name_fg_count_t2measuredesk_app_name_fg_count_t2desk_app_name_fg_count_t2desk_app_process_name_fg_count_t1measuredesk_app_process_name_fg_count_t1desk_app_process_name_fg_count_t1desk_app_process_name_fg_count_t2measuredesk_app_process_name_fg_count_t2desk_app_process_name_fg_count_t2desk_app_id_anr_count_t1measuredesk_app_id_anr_count_t1desk_app_id_anr_count_t1desk_app_id_anr_count_t2measuredesk_app_id_anr_count_t2desk_app_id_anr_count_t2desk_app_name_anr_count_t1measuredesk_app_name_anr_count_t1desk_app_name_anr_count_t1desk_app_name_anr_count_t2measuredesk_app_name_anr_count_t2desk_app_name_anr_count_t2desk_app_process_name_anr_count_t1measuredesk_app_process_name_anr_count_t1desk_app_process_name_anr_count_t1desk_app_process_name_anr_count_t2measuredesk_app_process_name_anr_count_t2desk_app_process_name_anr_count_t2min_launch_delay_s_t1measuremin_launch_delay_s_t1min_launch_delay_s_t1min_launch_delay_s_t2measuremin_launch_delay_s_t2min_launch_delay_s_t2avg_launch_delay_s_t1measureavg_launch_delay_s_t1avg_launch_delay_s_t1avg_launch_delay_s_t2measureavg_launch_delay_s_t2avg_launch_delay_s_t2peak_avg_launch_delay_s_t1measurepeak_avg_launch_delay_s_t1peak_avg_launch_delay_s_t1peak_avg_launch_delay_s_t2measurepeak_avg_launch_delay_s_t2peak_avg_launch_delay_s_t2avg_peak_launch_delay_s_t1measureavg_peak_launch_delay_s_t1avg_peak_launch_delay_s_t1avg_peak_launch_delay_s_t2measureavg_peak_launch_delay_s_t2avg_peak_launch_delay_s_t2peak_launch_delay_s_t1measurepeak_launch_delay_s_t1peak_launch_delay_s_t1peak_launch_delay_s_t2measurepeak_launch_delay_s_t2peak_launch_delay_s_t2total_anr_t1measuretotal_anr_t1total_anr_t1total_anr_t2measuretotal_anr_t2total_anr_t2total_fg_time_sec_t1measuretotal_fg_time_sec_t1total_fg_time_sec_t1total_fg_time_sec_t2measuretotal_fg_time_sec_t2total_fg_time_sec_t2host_count_t1measurehost_count_t1host_count_t1host_count_t2measurehost_count_t2host_count_t2machine_type_count_t1measuremachine_type_count_t1machine_type_count_t1machine_type_count_t2measuremachine_type_count_t2machine_type_count_t2machine_types_t1dimensionmachine_types_t1machine_types_t1machine_types_t2dimensionmachine_types_t2machine_types_t2platform_names_t1dimensionplatform_names_t1platform_names_t1platform_names_t2dimensionplatform_names_t2platform_names_t2platform_count_t1measureplatform_count_t1platform_count_t1platform_count_t2measureplatform_count_t2platform_count_t2os_version_count_t1measureos_version_count_t1os_version_count_t1os_version_count_t2measureos_version_count_t2os_version_count_t2avg_disk_used_percentage_t1measureavg_disk_used_percentage_t1avg_disk_used_percentage_t1avg_disk_used_percentage_t2measureavg_disk_used_percentage_t2avg_disk_used_percentage_t2avg_disk_queue_t1measureavg_disk_queue_t1avg_disk_queue_t1avg_disk_queue_t2measureavg_disk_queue_t2avg_disk_queue_t2avg_disk_response_time_ms_t1measureavg_disk_response_time_ms_t1avg_disk_response_time_ms_t1avg_disk_response_time_ms_t2measureavg_disk_response_time_ms_t2avg_disk_response_time_ms_t2avg_nrt_ms_t1measureavg_nrt_ms_t1avg_nrt_ms_t1avg_nrt_ms_t2measureavg_nrt_ms_t2avg_nrt_ms_t2avg_session_latency_ms_t1measureavg_session_latency_ms_t1avg_session_latency_ms_t1avg_session_latency_ms_t2measureavg_session_latency_ms_t2avg_session_latency_ms_t2total_inc_conn_count_t1measuretotal_inc_conn_count_t1total_inc_conn_count_t1total_inc_conn_count_t2measuretotal_inc_conn_count_t2total_inc_conn_count_t2total_nic_mb_t1measuretotal_nic_mb_t1total_nic_mb_t1total_nic_mb_t2measuretotal_nic_mb_t2total_nic_mb_t2avg_nic_kbps_t1measureavg_nic_kbps_t1avg_nic_kbps_t1avg_nic_kbps_t2measureavg_nic_kbps_t2avg_nic_kbps_t2param_1StartTimedateTime931falsetruefalseparam_2EndTimedateTime932falsetruefalseparam_3UserGroupstring123falsetruefalseparam_4UserGroupstring124falsetruefalseparam_5MachineGroupstring125falsetruefalseparam_6MachineGroupstring126falsetruefalseparam_7StartTimedateTime937falsetruefalseparam_8EndTimedateTime938falsetruefalseparam_9UserGroupstring129falsetruefalseparam_10UserGroupstring1210falsetruefalseparam_11MachineGroupstring1211falsetruefalseparam_12MachineGroupstring1212falsetruefalseparam_13StartTimedateTime9313falsetruefalseparam_14EndTimedateTime9314falsetruefalseparam_15MachineGroupstring1215falsetruefalseparam_16MachineGroupstring1216falsetruefalseparam_17StartTimedateTime9317falsetruefalseparam_18EndTimedateTime9318falsetruefalseparam_19MachineGroupstring1219falsetruefalseparam_20MachineGroupstring1220falsetruefalseparam_21CompStartTimedateTime9321falsetruefalseparam_22CompEndTimedateTime9322falsetruefalseparam_23UserGroupstring1223falsetruefalseparam_24UserGroupstring1224falsetruefalseparam_25MachineGroupstring1225falsetruefalseparam_26MachineGroupstring1226falsetruefalseparam_27CompStartTimedateTime9327falsetruefalseparam_28CompEndTimedateTime9328falsetruefalseparam_29UserGroupstring1229falsetruefalseparam_30UserGroupstring1230falsetruefalseparam_31MachineGroupstring1231falsetruefalseparam_32MachineGroupstring1232falsetruefalseparam_33CompStartTimedateTime9333falsetruefalseparam_34CompEndTimedateTime9334falsetruefalseparam_35MachineGroupstring1235falsetruefalseparam_36MachineGroupstring1236falsetruefalseparam_37CompStartTimedateTime9337falsetruefalseparam_38CompEndTimedateTime9338falsetruefalseparam_39MachineGroupstring1239falsetruefalseparam_40MachineGroupstring1240falsetruefalseparam_41EndTimedateTime9341falsetruefalseparam_42StartTimedateTime9342falsetruefalseparam_43StartTimedateTime9343falsetruefalseparam_44EndTimedateTime9344falsetruefalseparam_45MachineGroupstring1245falsetruefalseparam_46MachineGroupstring1246falsetruefalseparam_47StartTimedateTime9347falsetruefalseparam_48EndTimedateTime9348falsetruefalseparam_49StartTimedateTime9349falsetruefalseparam_50EndTimedateTime9350falsetruefalseparam_51UserGroupstring1251falsetruefalseparam_52UserGroupstring1252falsetruefalseparam_53CompEndTimedateTime9353falsetruefalseparam_54CompStartTimedateTime9354falsetruefalseparam_55CompStartTimedateTime9355falsetruefalseparam_56CompEndTimedateTime9356falsetruefalseparam_57MachineGroupstring1257falsetruefalseparam_58MachineGroupstring1258falsetruefalseparam_59CompStartTimedateTime9359falsetruefalseparam_60CompEndTimedateTime9360falsetruefalseparam_61CompStartTimedateTime9361falsetruefalseparam_62CompEndTimedateTime9362falsetruefalseparam_63UserGroupstring1263falsetruefalseparam_64UserGroupstring1264falsetruefalse1user_count_t1decimal2user_count_t2decimal3machine_count_t1decimal4machine_count_t2decimal5machine_labelstring6machine_registered_countdecimal7machine_license_countinteger8machine_total_countdecimal9user_labelstring10user_registered_countdecimal11user_license_countinteger12user_total_countdecimal13worst_ux_score_t1float14worst_ux_score_t2float15avg_ux_score_t1float16avg_ux_score_t2float17best_ux_score_t1float18best_ux_score_t2float19machines_ux_good_count_t1decimal20machines_ux_fair_count_t1decimal21machines_ux_poor_count_t1decimal22machines_ux_good_count_t2decimal23machines_ux_fair_count_t2decimal24machines_ux_poor_count_t2decimal25avg_cpu_percent_t1float26avg_cpu_percent_t2float27avg_peak_cpu_percent_t1float28avg_peak_cpu_percent_t2float29avg_cpu_queue_t1float30avg_cpu_queue_t2float31peak_avg_cpu_queue_t1float32peak_avg_cpu_queue_t2float33avg_peak_cpu_queue_t1float34avg_peak_cpu_queue_t2float35peak_cpu_queue_t1float36peak_cpu_queue_t2float37avg_ram_percent_t1float38avg_ram_percent_t2float39peak_avg_ram_percent_t1float40peak_avg_ram_percent_t2float41avg_peak_ram_percent_t1float42avg_peak_ram_percent_t2float43peak_ram_percent_t1float44peak_ram_percent_t2float45min_login_delay_s_t1float46min_login_delay_s_t2float47avg_login_delay_s_t1float48avg_login_delay_s_t2float49peak_login_delay_s_t1float50peak_login_delay_s_t2float51desk_app_id_count_t1decimal52desk_app_id_count_t2decimal53desk_app_name_count_t1decimal54desk_app_name_count_t2decimal55desk_app_process_name_count_t1decimal56desk_app_process_name_count_t2decimal57desk_app_id_fg_count_t1decimal58desk_app_id_fg_count_t2decimal59desk_app_name_fg_count_t1decimal60desk_app_name_fg_count_t2decimal61desk_app_process_name_fg_count_t1decimal62desk_app_process_name_fg_count_t2decimal63desk_app_id_anr_count_t1decimal64desk_app_id_anr_count_t2decimal65desk_app_name_anr_count_t1decimal66desk_app_name_anr_count_t2decimal67desk_app_process_name_anr_count_t1decimal68desk_app_process_name_anr_count_t2decimal69min_launch_delay_s_t1decimal70min_launch_delay_s_t2decimal71avg_launch_delay_s_t1decimal72avg_launch_delay_s_t2decimal73peak_avg_launch_delay_s_t1decimal74peak_avg_launch_delay_s_t2decimal75avg_peak_launch_delay_s_t1decimal76avg_peak_launch_delay_s_t2decimal77peak_launch_delay_s_t1decimal78peak_launch_delay_s_t2decimal79total_anr_t1decimal80total_anr_t2decimal81total_fg_time_sec_t1float82total_fg_time_sec_t2float83host_count_t1decimal84host_count_t2decimal85machine_type_count_t1decimal86machine_type_count_t2decimal87machine_types_t1string88machine_types_t2string89platform_names_t1string90platform_names_t2string91platform_count_t1decimal92platform_count_t2decimal93os_version_count_t1decimal94os_version_count_t2decimal95avg_disk_used_percentage_t1float96avg_disk_used_percentage_t2float97avg_disk_queue_t1float98avg_disk_queue_t2float99avg_disk_response_time_ms_t1decimal100avg_disk_response_time_ms_t2decimal101avg_nrt_ms_t1float102avg_nrt_ms_t2float103avg_session_latency_ms_t1float104avg_session_latency_ms_t2float105total_inc_conn_count_t1decimal106total_inc_conn_count_t2decimal107total_nic_mb_t1float108total_nic_mb_t2float109avg_nic_kbps_t1float110avg_nic_kbps_t2float111avg_ux_rating_t1string112avg_ux_rating_t2stringPortal1user_count_t1user_count_t1decimal-52user_count_t2user_count_t2decimal-53machine_count_t1machine_count_t1decimal-54machine_count_t2machine_count_t2decimal-55machine_labelmachine_labelstring126machine_registered_countmachine_registered_countdecimal-57machine_license_countmachine_license_countinteger48machine_total_countmachine_total_countdecimal-59user_labeluser_labelstring1210user_registered_countuser_registered_countdecimal-511user_license_countuser_license_countinteger412user_total_countuser_total_countdecimal-513worst_ux_score_t1worst_ux_score_t1float814worst_ux_score_t2worst_ux_score_t2float815avg_ux_score_t1avg_ux_score_t1float816avg_ux_score_t2avg_ux_score_t2float817best_ux_score_t1best_ux_score_t1float818best_ux_score_t2best_ux_score_t2float819machines_ux_good_count_t1machines_ux_good_count_t1decimal-520machines_ux_fair_count_t1machines_ux_fair_count_t1decimal-521machines_ux_poor_count_t1machines_ux_poor_count_t1decimal-522machines_ux_good_count_t2machines_ux_good_count_t2decimal-523machines_ux_fair_count_t2machines_ux_fair_count_t2decimal-524machines_ux_poor_count_t2machines_ux_poor_count_t2decimal-525avg_cpu_percent_t1avg_cpu_percent_t1float826avg_cpu_percent_t2avg_cpu_percent_t2float827avg_peak_cpu_percent_t1avg_peak_cpu_percent_t1float828avg_peak_cpu_percent_t2avg_peak_cpu_percent_t2float829avg_cpu_queue_t1avg_cpu_queue_t1float830avg_cpu_queue_t2avg_cpu_queue_t2float831peak_avg_cpu_queue_t1peak_avg_cpu_queue_t1float832peak_avg_cpu_queue_t2peak_avg_cpu_queue_t2float833avg_peak_cpu_queue_t1avg_peak_cpu_queue_t1float834avg_peak_cpu_queue_t2avg_peak_cpu_queue_t2float835peak_cpu_queue_t1peak_cpu_queue_t1float836peak_cpu_queue_t2peak_cpu_queue_t2float837avg_ram_percent_t1avg_ram_percent_t1float838avg_ram_percent_t2avg_ram_percent_t2float839peak_avg_ram_percent_t1peak_avg_ram_percent_t1float840peak_avg_ram_percent_t2peak_avg_ram_percent_t2float841avg_peak_ram_percent_t1avg_peak_ram_percent_t1float842avg_peak_ram_percent_t2avg_peak_ram_percent_t2float843peak_ram_percent_t1peak_ram_percent_t1float844peak_ram_percent_t2peak_ram_percent_t2float845min_login_delay_s_t1min_login_delay_s_t1float846min_login_delay_s_t2min_login_delay_s_t2float847avg_login_delay_s_t1avg_login_delay_s_t1float848avg_login_delay_s_t2avg_login_delay_s_t2float849peak_login_delay_s_t1peak_login_delay_s_t1float850peak_login_delay_s_t2peak_login_delay_s_t2float851desk_app_id_count_t1desk_app_id_count_t1decimal-552desk_app_id_count_t2desk_app_id_count_t2decimal-553desk_app_name_count_t1desk_app_name_count_t1decimal-554desk_app_name_count_t2desk_app_name_count_t2decimal-555desk_app_process_name_count_t1desk_app_process_name_count_t1decimal-556desk_app_process_name_count_t2desk_app_process_name_count_t2decimal-557desk_app_id_fg_count_t1desk_app_id_fg_count_t1decimal-558desk_app_id_fg_count_t2desk_app_id_fg_count_t2decimal-559desk_app_name_fg_count_t1desk_app_name_fg_count_t1decimal-560desk_app_name_fg_count_t2desk_app_name_fg_count_t2decimal-561desk_app_process_name_fg_count_t1desk_app_process_name_fg_count_t1decimal-562desk_app_process_name_fg_count_t2desk_app_process_name_fg_count_t2decimal-563desk_app_id_anr_count_t1desk_app_id_anr_count_t1decimal-564desk_app_id_anr_count_t2desk_app_id_anr_count_t2decimal-565desk_app_name_anr_count_t1desk_app_name_anr_count_t1decimal-566desk_app_name_anr_count_t2desk_app_name_anr_count_t2decimal-567desk_app_process_name_anr_count_t1desk_app_process_name_anr_count_t1decimal-568desk_app_process_name_anr_count_t2desk_app_process_name_anr_count_t2decimal-569min_launch_delay_s_t1min_launch_delay_s_t1decimal270min_launch_delay_s_t2min_launch_delay_s_t2decimal271avg_launch_delay_s_t1avg_launch_delay_s_t1decimal272avg_launch_delay_s_t2avg_launch_delay_s_t2decimal273peak_avg_launch_delay_s_t1peak_avg_launch_delay_s_t1decimal274peak_avg_launch_delay_s_t2peak_avg_launch_delay_s_t2decimal275avg_peak_launch_delay_s_t1avg_peak_launch_delay_s_t1decimal276avg_peak_launch_delay_s_t2avg_peak_launch_delay_s_t2decimal277peak_launch_delay_s_t1peak_launch_delay_s_t1decimal278peak_launch_delay_s_t2peak_launch_delay_s_t2decimal279total_anr_t1total_anr_t1decimal280total_anr_t2total_anr_t2decimal281total_fg_time_sec_t1total_fg_time_sec_t1float882total_fg_time_sec_t2total_fg_time_sec_t2float883host_count_t1host_count_t1decimal-584host_count_t2host_count_t2decimal-585machine_type_count_t1machine_type_count_t1decimal-586machine_type_count_t2machine_type_count_t2decimal-587machine_types_t1machine_types_t1string200388machine_types_t2machine_types_t2string200389platform_names_t1platform_names_t1string1290platform_names_t2platform_names_t2string1291platform_count_t1platform_count_t1decimal-592platform_count_t2platform_count_t2decimal-593os_version_count_t1os_version_count_t1decimal-594os_version_count_t2os_version_count_t2decimal-595avg_disk_used_percentage_t1avg_disk_used_percentage_t1float896avg_disk_used_percentage_t2avg_disk_used_percentage_t2float897avg_disk_queue_t1avg_disk_queue_t1float898avg_disk_queue_t2avg_disk_queue_t2float899avg_disk_response_time_ms_t1avg_disk_response_time_ms_t1decimal2100avg_disk_response_time_ms_t2avg_disk_response_time_ms_t2decimal2101avg_nrt_ms_t1avg_nrt_ms_t1float8102avg_nrt_ms_t2avg_nrt_ms_t2float8103avg_session_latency_ms_t1avg_session_latency_ms_t1float8104avg_session_latency_ms_t2avg_session_latency_ms_t2float8105total_inc_conn_count_t1total_inc_conn_count_t1decimal-5106total_inc_conn_count_t2total_inc_conn_count_t2decimal-5107total_nic_mb_t1total_nic_mb_t1float8108total_nic_mb_t2total_nic_mb_t2float8109avg_nic_kbps_t1avg_nic_kbps_t1float8110avg_nic_kbps_t2avg_nic_kbps_t2float8= 2.75 then s.node_id end) as machines_ux_good_count,
count(distinct case when s.vdi_ux_overall >= 1.75 and s.vdi_ux_overall < 2.75 then s.node_id end) as machines_ux_fair_count,
count(distinct case when s.vdi_ux_overall < 1.75 then s.node_id end) as machines_ux_poor_count,
avg(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as avg_cpu_percent,
max(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as peak_avg_cpu_percent,
avg(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as avg_peak_cpu_percent,
max(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as peak_cpu_percent,
avg(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
min(lstats.login_delay_s) as min_login_delay_s,
avg(lstats.login_delay_s) as avg_login_delay_s,
max(lstats.login_delay_s) as peak_login_delay_s,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
sum(s.total_app_anr) as total_app_anr,
count(distinct s.vmhost_id) as host_count,
count(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_type_count,
array_agg(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_types,
count(distinct os.name) as platform_count,
string_agg(distinct os.name, ',') as platform_names,
count(distinct os.version) as os_version_count,
-- Physical Disk Stats
-- avg(pdisk_stats.disk_count)::float as avg_disk_count,
-- (sum(pdisk_stats.avg_read_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_read_iops,
-- (sum(pdisk_stats.avg_write_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_write_iops,
-- (sum(pdisk_stats.avg_read_io_count)/sum(pdisk_stats.dcid_seconds) + sum(pdisk_stats.avg_write_io_count)/sum(pdisk_stats.dcid_seconds)) as avg_disk_iops,
-- avg(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as avg_peak_disk_iops,
-- max(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as peak_disk_iops,
-- sum(pdisk_stats.avg_read_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_read_iorate_kbps,
-- sum(pdisk_stats.avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_write_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes + avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes)/1048576 as total_disk_read_io_mb,
-- sum(pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_write_io_mb,
-- sum(pdisk_stats.avg_read_io_bytes + pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_io_mb,
-- avg(pdisk_stats.avg_disk_used_gb) as avg_disk_used_gb,
avg(case when pdisk_stats.avg_disk_alloc_gb > 0 then least(pdisk_stats.avg_disk_used_gb/pdisk_stats.avg_disk_alloc_gb, 1) else null end) * 100 as avg_disk_used_percentage,
-- avg(pdisk_stats.avg_disk_alloc_gb) as avg_disk_alloc_gb,
-- -- round((avg(avg_size_gb) * count(distinct s.node_id))::numeric, 2) as sum_disk_size_gb,
avg(case when pdisk_stats.total_avg_queue > 0 then pdisk_stats.total_avg_queue else null end) as avg_disk_queue,
-- max(pdisk_stats.total_peak_queue) as peak_disk_queue,
avg(case when pdisk_stats.avg_disk_response_time_ms > 0 then pdisk_stats.avg_disk_response_time_ms else null end) as avg_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_peak_disk_response_time_ms > 0 then pdisk_stats.avg_peak_disk_response_time_ms else null end) as avg_peak_disk_response_time_ms,
-- max(pdisk_stats.avg_peak_disk_response_time_ms) as peak_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_disk_utilization_percent > 0 then pdisk_stats.avg_disk_utilization_percent else null end) as avg_disk_utilization_percent,
-- avg(case when pdisk_stats.avg_peak_disk_utilization_percent > 0 then pdisk_stats.avg_peak_disk_utilization_percent else null end) as avg_peak_disk_utilization_percent,
-- max(pdisk_stats.avg_peak_disk_utilization_percent) as peak_disk_utilization_percent,
-- Network
avg(case when s.avg_center_nrt > 0 then s.avg_center_nrt else null end)/1000.0 as avg_nrt_ms,
avg(case when s.avg_inc_nrt > 0 then s.avg_inc_nrt else null end)/1000.0 as avg_session_latency_ms,
sum(s.inc_conn_count) as total_inc_conn_count,
-- NIC stats
-- round((avg(nic_stats.nic_count))::numeric, 1) as nic_count,
-- sum(nic_stats.total_send_bytes) / 1048576 as total_nic_send_mb,
-- sum(nic_stats.total_receive_bytes) / 1048576 as total_nic_receive_mb,
(sum(nic_stats.total_send_bytes) + sum(nic_stats.total_receive_bytes)) / 1048576 as total_nic_mb,
-- (sum(nic_stats.total_send_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_send_kbps,
-- (sum(nic_stats.total_receive_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_receive_kbps,
((sum(nic_stats.total_send_bytes) / sum(nic_stats.ncid_seconds)) + (sum(total_receive_bytes) / sum(s.scid_seconds))) / 1024 as avg_nic_kbps
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
join (
select
nde.id as node_id,
nde.os_id,
nde.vmtype,
nde.vmhost_id,
nde.fqmn,
age(current_timestamp, nde.bios_date) as machine_age,
age(current_timestamp, nde.last_boot_time) as machine_up_time,
nde_hw_cpu.cores_per_cpu as cores_per_cpu,
nde_hw_cpu.cpu_speed_mhz as cpu_speed_mhz,
nde_hw_cpu.cpu_count,
nde_hw_cpu.total_cpu_alloc_cores,
nde_hw_cpu.total_cpu_alloc_mhz
from
tnt_config.node nde
join (
select
hardware_id,
max(cores) as cores_per_cpu,
round(avg(speed_mhz)::numeric, 0) as cpu_speed_mhz,
count(distinct id) as cpu_count,
sum(cores) as total_cpu_alloc_cores,
sum(speed_mhz * cores) as total_cpu_alloc_mhz
from
tnt_config.node_hardware_cpus
group by
hardware_id
) nde_hw_cpu on (nde_hw_cpu.hardware_id = nde.hardware_id)
where
nde.delete_time is null
and nde.ihostversion is not null
) nde on (nde.node_id = s.node_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.policyidentity pi on (pi.id = s.user_id and pi.delete_time is null and pi.type = 1)
-- left outer join tnt_config.vmhost vmh on (vmh.id = case when s.vmhost_id is null then nde.vmhost_id else s.vmhost_id end)
-- Login stats: summaryreport_login_stats
left outer join(
select
s.node_id,
s.start_date,
s.end_date,
cast(s.details->'session' as int) as session_id,
-- s.user_os_id as user_guid,
s.user_id as user_id,
-- lower(pi.name) as user_name,
-- lower(s.name) as user_domain_name,
-- split_part(lower(s.name), '@', 2) as domain_name,
s.login_time,
s.logout_time,
s.first_record,
s.login_delay_ms,
(case when s.first_record is true then s.login_delay_ms/1000.0 else null end) as login_delay_s,
s.is_admin,
s.secs_active,
cast(s.details->'idle' as float) as session_callback_idle_min,
cast(s.details->'idle_total' as float) as session_total_idle_min,
-- s.network_id,
s.remote_ip,
s.remote_machine_name,
-- cast(s.details->'preloginActTime' as float) as pre_login_actual_time_ms,
-- -- cast(s.details->'breakdownLoginTimeEpochMs' as float) as login_breakdown_time_epoch_ms,
-- to_timestamp(cast(s.details->'breakdownLoginTimeEpochMs' as bigint)/1000) as login_breakdown_time_utc,
-- cast(s.details->'postloginActTime' as float) as post_login_actual_time_ms,
-- cast(s.details->'DCDiscoveryTime' as float) as dc_discovery_time_ms,
-- cast(s.details->'DCIP' as inet) as dc_ip,
-- cast(s.details->'DCName' as text) as dc_name,
-- cast(s.details->'authenticationTime' as float) as authentication_time_ms,
-- cast(s.details->'GPComputerTime' as float) as gp_computer_time_ms,
-- cast(s.details->'GPScriptsTime' as float) as gp_scripts_time_ms,
-- cast(s.details->'GPUserTime' as float) as gp_user_time_ms,
-- cast(s.details->'NetworkPrividerTime' as float) as network_provider_time_ms,
-- cast(s.details->'UserProfileTime' as float) as user_profile_time_ms,
-- cast(s.details->'abnormalEvents' as int) as abnormal_events,
-- cast(s.details->'loadShellTime' as float) as load_shell_time_ms,
-- cast(s.details->'restoreNetworkTime' as float) as restore_network_time_ms,
-- cast(s.details->'themeslogonTime' as float) as themes_logon_time_ms,
-- cast(s.details->'updateUserParameterTime' as float) as update_user_parameter_time_ms,
-- s.details,
greatest(extract(epoch from s.end_date - s.start_date), 1) as lcid_seconds
from
tnt_audit.summaryreport_login_stats s
where
(s.end_date between ? and ?)
-- User group filer
and ('%' = ? or s.user_id is null or s.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) lstats on (
lstats.node_id = s.node_id
and lstats.start_date = s.start_date
and lstats.end_date = s.end_date
and lstats.user_id = s.user_id
)
-- Physical disk stats: summaryreport_disk_stats
left outer join (
-- Sum up numbers across disks by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
count(distinct lower(s.name)) as disk_count,
string_agg(s.name, ',') as disk_names,
string_agg(s.disk_label, ',') as disk_labels,
s.datastore_id,
s.datastore_name,
count(distinct s.datastore_id) as datastore_count,
string_agg(distinct s.datastore_name, ',') as datastore_names,
sum(avg_read_iops) as avg_read_iops,
sum(peak_read_iops) as peak_read_iops,
sum(avg_write_iops) as avg_write_iops,
sum(peak_write_iops) as peak_write_iops,
sum(avg_read_io_count) as avg_read_io_count,
sum(avg_read_io_count) / avg(dcid_seconds) as avg_read_iops,
sum(avg_write_io_count) as avg_write_io_count,
sum(avg_write_io_count) / avg(dcid_seconds) as avg_write_iops,
sum(avg_read_io_bytes) as avg_read_io_bytes,
sum(avg_read_io_bytes) / avg(dcid_seconds) as avg_read_bytesps,
sum(avg_write_io_bytes) as avg_write_io_bytes,
sum(avg_write_io_bytes) / avg(dcid_seconds) as avg_write_bytesps,
sum(avg_read_rate_bytesps) as avg_read_rate_bytesps,
sum(avg_write_rate_bytesps) as avg_write_rate_bytesps,
sum(avg_disk_alloc_kb) as avg_disk_alloc_kb,
sum(avg_disk_used_kb) as avg_disk_used_kb,
sum(avg_disk_used_kb)/1048576 as avg_disk_used_gb,
sum(avg_disk_alloc_kb)/1048576 as avg_disk_alloc_gb,
avg(case when avg_queue > 0 then avg_queue else null end) as avg_queue,
max(avg_queue) as peak_avg_queue,
sum(avg_queue) as total_avg_queue,
avg(case when peak_queue > 0 then peak_queue else null end) as avg_peak_queue,
max(peak_queue) as peak_queue,
sum(peak_queue) as total_peak_queue,
avg(case when avg_read_latency_ms > 0 then avg_read_latency_ms else null end) as avg_read_latency_ms,
max(avg_read_latency_ms) as peak_avg_read_latency_ms,
avg(case when peak_read_latency_ms > 0 then peak_read_latency_ms else null end) as avg_peak_read_latency_ms,
max(peak_read_latency_ms) as peak_read_latency_ms,
avg(case when avg_write_latency_ms > 0 then avg_write_latency_ms else null end) as avg_write_latency_ms,
max(avg_write_latency_ms) as peak_avg_write_latency_ms,
avg(case when peak_write_latency_ms > 0 then peak_write_latency_ms else null end) as avg_peak_write_latency_ms,
max(peak_write_latency_ms) as peak_write_latency_ms,
avg(avg_disk_utilization_percent) as avg_disk_utilization_percent,
avg(peak_disk_utilization_percent) as avg_peak_disk_utilization_percent,
avg(avg_disk_response_time_ms) as avg_disk_response_time_ms,
avg(peak_disk_response_time_ms) as avg_peak_disk_response_time_ms,
avg(dcid_seconds) as dcid_seconds
from (
-- This is at the node_id, start_date, end_date, disk_name level
select
s.node_id,
s.start_date,
s.end_date,
s.disk_id,
s.name,
s.device,
cast(s.details->'label' as text) as disk_label,
s.vdisk_datastoreid as datastore_id,
-- case when ds.name not ilike 'Unknown' then ds.name else '' end as datastore_name,
case when ds.name not ilike 'Unknown' then ds.name else null end as datastore_name,
1 as disk_count,
s.read_avg as avg_read_iops,
s.read_peak as peak_read_iops,
s.write_avg as avg_write_iops,
s.write_peak as peak_write_iops,
(s.read_avg * s.dcid_seconds) as avg_read_io_count,
(s.write_avg * s.dcid_seconds) as avg_write_io_count,
(s.read_io_avg * 1024 * s.dcid_seconds) as avg_read_io_bytes,
(s.write_io_avg * 1024 * s.dcid_seconds) as avg_write_io_bytes,
(s.read_io_avg * 1024) as avg_read_rate_bytesps,
(s.write_io_avg * 1024) as avg_write_rate_bytesps,
s.avg_used as avg_disk_used_kb,
s.size as avg_disk_alloc_kb,
s.queue_avg as avg_queue,
s.queue_peak as peak_queue,
cast(s.details->'readLatencyAverage' as numeric) as avg_read_latency_ms,
cast(s.details->'readLatencyPeak' as numeric) as peak_read_latency_ms,
cast(s.details->'writeLatencyAverage' as numeric) as avg_write_latency_ms,
cast(s.details->'writeLatencyPeak' as numeric) as peak_write_latency_ms,
cast(s.details->'utilizationPercentMin' as numeric) as min_disk_utilization_percent,
cast(s.details->'utilizationPercentAverage' as numeric) as avg_disk_utilization_percent,
cast(s.details->'utilizationPercentPeak' as numeric) as peak_disk_utilization_percent,
cast(s.details->'responseTimeMSMin' as numeric) as min_disk_response_time_ms,
cast(s.details->'responseTimeMSAverage' as numeric) as avg_disk_response_time_ms,
cast(s.details->'responseTimeMSPeak' as numeric) as peak_disk_response_time_ms,
s.dcid_seconds
from (
select
s.*,
greatest(extract(epoch from s.end_date - s.start_date), 1) as dcid_seconds
from
tnt_audit.summaryreport_disk_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
left outer join tnt_config.datastore ds on (ds.id = s.vdisk_datastoreid and ds.delete_time is null)
) s
group by
s.node_id,
s.start_date,
s.end_date,
s.datastore_id,
s.datastore_name
) pdisk_stats on (
pdisk_stats.node_id = s.node_id
and pdisk_stats.start_date = s.start_date
and pdisk_stats.end_date = s.end_date
) -- summaryreport_disk_stats
-- NIC stats
left outer join (
-- Sum up numbers across nics by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
sum(s.nic_count) as nic_count,
string_agg(distinct (array_to_string(s.ip_addresses,',')), ',' ) as ip_addresses,
sum(s.total_send_bytes) as total_send_bytes,
sum(s.total_send_bytes) / avg(s.ncid_seconds) as avg_send_bytesps,
sum(s.peak_send_bytesps) as peak_send_bytesps,
sum(s.total_receive_bytes) as total_receive_bytes,
sum(s.total_receive_bytes) / avg(s.ncid_seconds) as avg_receive_bytesps,
sum(s.peak_receive_bytesps) as peak_receive_bytesps,
avg(s.ncid_seconds) as ncid_seconds
from (
-- This is at the node_id, start_date, end_date, nic name level
select
s.node_id,
s.start_date,
s.end_date,
s.name,
1 as nic_count,
case when s.addresses is null then array['0.0.0.0/32'::inet] else s.addresses end as ip_addresses,
(send_total * 1024) as total_send_bytes,
(send_peak * 1024) as peak_send_bytesps,
(receive_total * 1024) as total_receive_bytes,
(receive_peak * 1024) as peak_receive_bytesps,
greatest(extract(epoch from s.end_date - s.start_date), 1) as ncid_seconds
from
tnt_audit.summaryreport_nic_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
and (s.speed > 0)
) s
group by
s.node_id,
s.start_date,
s.end_date
) nic_stats on (
nic_stats.node_id = s.node_id
and nic_stats.start_date = s.start_date
and nic_stats.end_date = s.end_date
) -- summaryreport_nic_stats
) s_t1
left outer join (
select
count(distinct s.user_id) as user_count,
count(distinct s.node_id) as machine_count,
min(s.vdi_ux_overall) as worst_ux_score,
avg(s.vdi_ux_overall) as avg_ux_score,
max(s.vdi_ux_overall) as best_ux_score,
count(distinct case when s.vdi_ux_overall >= 2.75 then s.node_id end) as machines_ux_good_count,
count(distinct case when s.vdi_ux_overall >= 1.75 and s.vdi_ux_overall < 2.75 then s.node_id end) as machines_ux_fair_count,
count(distinct case when s.vdi_ux_overall < 1.75 then s.node_id end) as machines_ux_poor_count,
avg(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as avg_cpu_percent,
max(least(coalesce(s.cpu_avg_user, 0) + coalesce(s.cpu_avg_sys), 100)) as peak_avg_cpu_percent,
avg(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as avg_peak_cpu_percent,
max(least(coalesce(s.cpu_peak_user, 0) + coalesce(s.cpu_peak_sys), 100)) as peak_cpu_percent,
avg(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as avg_cpu_queue,
max(case when s.cpu_queue_avg > 0 then cpu_queue_avg else null end) as peak_avg_cpu_queue,
avg(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as avg_peak_cpu_queue,
max(case when s.cpu_queue_peak > 0 then cpu_queue_peak else null end) as peak_cpu_queue,
avg(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as avg_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_avg/s.mem_alloc else null end) * 100.0 as peak_avg_ram_percent,
avg(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as avg_peak_ram_percent,
max(case when s.mem_alloc > 0 then s.mem_peak/s.mem_alloc else null end) * 100.0 as peak_ram_percent,
min(lstats.login_delay_s) as min_login_delay_s,
avg(lstats.login_delay_s) as avg_login_delay_s,
max(lstats.login_delay_s) as peak_login_delay_s,
avg(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as avg_app_launch_delay_s,
max(case when s.app_launch_delay_ms > 0 then s.app_launch_delay_ms else null end) / 1000.0 as peak_avg_app_launch_delay_s,
sum(s.total_app_anr) as total_app_anr,
count(distinct s.vmhost_id) as host_count,
-- count(distinct pr_stats.desk_app_id) as app_count,
-- count(distinct case when pr_stats.fg_time_sec > 0 then pr_stats.desk_app_id end) as app_user_focus_count,
count(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_type_count,
array_agg(distinct case when nde.vmtype is null then -1 else nde.vmtype end) as machine_types,
count(distinct os.name) as platform_count,
string_agg(distinct os.name, ',') as platform_names,
count(distinct os.version) as os_version_count,
-- Physical Disk Stats
-- avg(pdisk_stats.disk_count)::float as avg_disk_count,
-- (sum(pdisk_stats.avg_read_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_read_iops,
-- (sum(pdisk_stats.avg_write_io_count) / sum(pdisk_stats.dcid_seconds)) as avg_write_iops,
-- (sum(pdisk_stats.avg_read_io_count)/sum(pdisk_stats.dcid_seconds) + sum(pdisk_stats.avg_write_io_count)/sum(pdisk_stats.dcid_seconds)) as avg_disk_iops,
-- avg(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as avg_peak_disk_iops,
-- max(pdisk_stats.peak_read_iops + pdisk_stats.peak_write_iops) as peak_disk_iops,
-- sum(pdisk_stats.avg_read_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_read_iorate_kbps,
-- sum(pdisk_stats.avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_write_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes + avg_write_io_bytes) / sum(pdisk_stats.dcid_seconds) / 1024 as avg_disk_iorate_kbps,
-- sum(pdisk_stats.avg_read_io_bytes)/1048576 as total_disk_read_io_mb,
-- sum(pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_write_io_mb,
-- sum(pdisk_stats.avg_read_io_bytes + pdisk_stats.avg_write_io_bytes)/1048576 as total_disk_io_mb,
-- avg(pdisk_stats.avg_disk_used_gb) as avg_disk_used_gb,
avg(case when pdisk_stats.avg_disk_alloc_gb > 0 then least(pdisk_stats.avg_disk_used_gb/pdisk_stats.avg_disk_alloc_gb, 1) else null end) * 100 as avg_disk_used_percentage,
-- avg(pdisk_stats.avg_disk_alloc_gb) as avg_disk_alloc_gb,
-- -- round((avg(avg_size_gb) * count(distinct s.node_id))::numeric, 2) as sum_disk_size_gb,
avg(case when pdisk_stats.total_avg_queue > 0 then pdisk_stats.total_avg_queue else null end) as avg_disk_queue,
-- max(pdisk_stats.total_peak_queue) as peak_disk_queue,
avg(case when pdisk_stats.avg_disk_response_time_ms > 0 then pdisk_stats.avg_disk_response_time_ms else null end) as avg_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_peak_disk_response_time_ms > 0 then pdisk_stats.avg_peak_disk_response_time_ms else null end) as avg_peak_disk_response_time_ms,
-- max(pdisk_stats.avg_peak_disk_response_time_ms) as peak_disk_response_time_ms,
-- avg(case when pdisk_stats.avg_disk_utilization_percent > 0 then pdisk_stats.avg_disk_utilization_percent else null end) as avg_disk_utilization_percent,
-- avg(case when pdisk_stats.avg_peak_disk_utilization_percent > 0 then pdisk_stats.avg_peak_disk_utilization_percent else null end) as avg_peak_disk_utilization_percent,
-- max(pdisk_stats.avg_peak_disk_utilization_percent) as peak_disk_utilization_percent,
-- Network
avg(case when s.avg_center_nrt > 0 then s.avg_center_nrt else null end)/1000.0 as avg_nrt_ms,
avg(case when s.avg_inc_nrt > 0 then s.avg_inc_nrt else null end)/1000.0 as avg_session_latency_ms,
sum(s.inc_conn_count) as total_inc_conn_count,
-- NIC stats
-- round((avg(nic_stats.nic_count))::numeric, 1) as nic_count,
-- sum(nic_stats.total_send_bytes) / 1048576 as total_nic_send_mb,
-- sum(nic_stats.total_receive_bytes) / 1048576 as total_nic_receive_mb,
(sum(nic_stats.total_send_bytes) + sum(nic_stats.total_receive_bytes)) / 1048576 as total_nic_mb,
-- (sum(nic_stats.total_send_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_send_kbps,
-- (sum(nic_stats.total_receive_bytes) / 1024 / sum(nic_stats.ncid_seconds)) as avg_nic_receive_kbps,
((sum(nic_stats.total_send_bytes) / sum(nic_stats.ncid_seconds)) + (sum(total_receive_bytes) / sum(s.scid_seconds))) / 1024 as avg_nic_kbps
from (
select
s.*,
unnest(case when cardinality(s.login_ids) > 0 then s.login_ids else '{null}' end) as user_id,
greatest(extract(epoch from s.end_date - s.start_date), 1) as scid_seconds
from
tnt_audit.summaryreports s
where
(s.end_date between ? and ?)
-- Business week or work week
and (extract(dow from s.end_date) between 1 and 5)
-- User group filer
and ('%' = ? or cardinality(s.login_ids) = 0 or s.login_ids &&
array(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
join tnt_config.policynode pn on (pn.id = s.node_id and pn.delete_time is null and pn.type <= 2)
join (
select
nde.id as node_id,
nde.os_id,
nde.vmtype,
nde.vmhost_id,
nde.fqmn,
age(current_timestamp, nde.bios_date) as machine_age,
age(current_timestamp, nde.last_boot_time) as machine_up_time,
nde_hw_cpu.cores_per_cpu as cores_per_cpu,
nde_hw_cpu.cpu_speed_mhz as cpu_speed_mhz,
nde_hw_cpu.cpu_count,
nde_hw_cpu.total_cpu_alloc_cores,
nde_hw_cpu.total_cpu_alloc_mhz
from
tnt_config.node nde
join (
select
hardware_id,
max(cores) as cores_per_cpu,
round(avg(speed_mhz)::numeric, 0) as cpu_speed_mhz,
count(distinct id) as cpu_count,
sum(cores) as total_cpu_alloc_cores,
sum(speed_mhz * cores) as total_cpu_alloc_mhz
from
tnt_config.node_hardware_cpus
group by
hardware_id
) nde_hw_cpu on (nde_hw_cpu.hardware_id = nde.hardware_id)
where
nde.delete_time is null
and nde.ihostversion is not null
) nde on (nde.node_id = s.node_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.policyidentity pi on (pi.id = s.user_id and pi.delete_time is null and pi.type = 1)
-- left outer join tnt_config.vmhost vmh on (vmh.id = case when s.vmhost_id is null then nde.vmhost_id else s.vmhost_id end)
-- Login stats: summaryreport_login_stats
left outer join(
select
s.node_id,
s.start_date,
s.end_date,
cast(s.details->'session' as int) as session_id,
-- s.user_os_id as user_guid,
s.user_id as user_id,
-- lower(pi.name) as user_name,
-- lower(s.name) as user_domain_name,
-- split_part(lower(s.name), '@', 2) as domain_name,
s.login_time,
s.logout_time,
s.first_record,
s.login_delay_ms,
(case when s.first_record is true then s.login_delay_ms/1000.0 else null end) as login_delay_s,
s.is_admin,
s.secs_active,
cast(s.details->'idle' as float) as session_callback_idle_min,
cast(s.details->'idle_total' as float) as session_total_idle_min,
-- s.network_id,
s.remote_ip,
s.remote_machine_name,
-- cast(s.details->'preloginActTime' as float) as pre_login_actual_time_ms,
-- -- cast(s.details->'breakdownLoginTimeEpochMs' as float) as login_breakdown_time_epoch_ms,
-- to_timestamp(cast(s.details->'breakdownLoginTimeEpochMs' as bigint)/1000) as login_breakdown_time_utc,
-- cast(s.details->'postloginActTime' as float) as post_login_actual_time_ms,
-- cast(s.details->'DCDiscoveryTime' as float) as dc_discovery_time_ms,
-- cast(s.details->'DCIP' as inet) as dc_ip,
-- cast(s.details->'DCName' as text) as dc_name,
-- cast(s.details->'authenticationTime' as float) as authentication_time_ms,
-- cast(s.details->'GPComputerTime' as float) as gp_computer_time_ms,
-- cast(s.details->'GPScriptsTime' as float) as gp_scripts_time_ms,
-- cast(s.details->'GPUserTime' as float) as gp_user_time_ms,
-- cast(s.details->'NetworkPrividerTime' as float) as network_provider_time_ms,
-- cast(s.details->'UserProfileTime' as float) as user_profile_time_ms,
-- cast(s.details->'abnormalEvents' as int) as abnormal_events,
-- cast(s.details->'loadShellTime' as float) as load_shell_time_ms,
-- cast(s.details->'restoreNetworkTime' as float) as restore_network_time_ms,
-- cast(s.details->'themeslogonTime' as float) as themes_logon_time_ms,
-- cast(s.details->'updateUserParameterTime' as float) as update_user_parameter_time_ms,
-- s.details,
greatest(extract(epoch from s.end_date - s.start_date), 1) as lcid_seconds
from
tnt_audit.summaryreport_login_stats s
where
(s.end_date between ? and ?)
-- User group filer
and ('%' = ? or s.user_id is null or s.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name like ?)))
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) lstats on (
lstats.node_id = s.node_id
and lstats.start_date = s.start_date
and lstats.end_date = s.end_date
and lstats.user_id = s.user_id
)
-- Physical disk stats: summaryreport_disk_stats
left outer join (
-- Sum up numbers across disks by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
count(distinct lower(s.name)) as disk_count,
string_agg(s.name, ',') as disk_names,
string_agg(s.disk_label, ',') as disk_labels,
s.datastore_id,
s.datastore_name,
count(distinct s.datastore_id) as datastore_count,
string_agg(distinct s.datastore_name, ',') as datastore_names,
sum(avg_read_iops) as avg_read_iops,
sum(peak_read_iops) as peak_read_iops,
sum(avg_write_iops) as avg_write_iops,
sum(peak_write_iops) as peak_write_iops,
sum(avg_read_io_count) as avg_read_io_count,
sum(avg_read_io_count) / avg(dcid_seconds) as avg_read_iops,
sum(avg_write_io_count) as avg_write_io_count,
sum(avg_write_io_count) / avg(dcid_seconds) as avg_write_iops,
sum(avg_read_io_bytes) as avg_read_io_bytes,
sum(avg_read_io_bytes) / avg(dcid_seconds) as avg_read_bytesps,
sum(avg_write_io_bytes) as avg_write_io_bytes,
sum(avg_write_io_bytes) / avg(dcid_seconds) as avg_write_bytesps,
sum(avg_read_rate_bytesps) as avg_read_rate_bytesps,
sum(avg_write_rate_bytesps) as avg_write_rate_bytesps,
sum(avg_disk_alloc_kb) as avg_disk_alloc_kb,
sum(avg_disk_used_kb) as avg_disk_used_kb,
sum(avg_disk_used_kb)/1048576 as avg_disk_used_gb,
sum(avg_disk_alloc_kb)/1048576 as avg_disk_alloc_gb,
avg(case when avg_queue > 0 then avg_queue else null end) as avg_queue,
max(avg_queue) as peak_avg_queue,
sum(avg_queue) as total_avg_queue,
avg(case when peak_queue > 0 then peak_queue else null end) as avg_peak_queue,
max(peak_queue) as peak_queue,
sum(peak_queue) as total_peak_queue,
avg(case when avg_read_latency_ms > 0 then avg_read_latency_ms else null end) as avg_read_latency_ms,
max(avg_read_latency_ms) as peak_avg_read_latency_ms,
avg(case when peak_read_latency_ms > 0 then peak_read_latency_ms else null end) as avg_peak_read_latency_ms,
max(peak_read_latency_ms) as peak_read_latency_ms,
avg(case when avg_write_latency_ms > 0 then avg_write_latency_ms else null end) as avg_write_latency_ms,
max(avg_write_latency_ms) as peak_avg_write_latency_ms,
avg(case when peak_write_latency_ms > 0 then peak_write_latency_ms else null end) as avg_peak_write_latency_ms,
max(peak_write_latency_ms) as peak_write_latency_ms,
avg(avg_disk_utilization_percent) as avg_disk_utilization_percent,
avg(peak_disk_utilization_percent) as avg_peak_disk_utilization_percent,
avg(avg_disk_response_time_ms) as avg_disk_response_time_ms,
avg(peak_disk_response_time_ms) as avg_peak_disk_response_time_ms,
avg(dcid_seconds) as dcid_seconds
from (
-- This is at the node_id, start_date, end_date, disk_name level
select
s.node_id,
s.start_date,
s.end_date,
s.disk_id,
s.name,
s.device,
cast(s.details->'label' as text) as disk_label,
s.vdisk_datastoreid as datastore_id,
-- case when ds.name not ilike 'Unknown' then ds.name else '' end as datastore_name,
case when ds.name not ilike 'Unknown' then ds.name else null end as datastore_name,
1 as disk_count,
s.read_avg as avg_read_iops,
s.read_peak as peak_read_iops,
s.write_avg as avg_write_iops,
s.write_peak as peak_write_iops,
(s.read_avg * s.dcid_seconds) as avg_read_io_count,
(s.write_avg * s.dcid_seconds) as avg_write_io_count,
(s.read_io_avg * 1024 * s.dcid_seconds) as avg_read_io_bytes,
(s.write_io_avg * 1024 * s.dcid_seconds) as avg_write_io_bytes,
(s.read_io_avg * 1024) as avg_read_rate_bytesps,
(s.write_io_avg * 1024) as avg_write_rate_bytesps,
s.avg_used as avg_disk_used_kb,
s.size as avg_disk_alloc_kb,
s.queue_avg as avg_queue,
s.queue_peak as peak_queue,
cast(s.details->'readLatencyAverage' as numeric) as avg_read_latency_ms,
cast(s.details->'readLatencyPeak' as numeric) as peak_read_latency_ms,
cast(s.details->'writeLatencyAverage' as numeric) as avg_write_latency_ms,
cast(s.details->'writeLatencyPeak' as numeric) as peak_write_latency_ms,
cast(s.details->'utilizationPercentMin' as numeric) as min_disk_utilization_percent,
cast(s.details->'utilizationPercentAverage' as numeric) as avg_disk_utilization_percent,
cast(s.details->'utilizationPercentPeak' as numeric) as peak_disk_utilization_percent,
cast(s.details->'responseTimeMSMin' as numeric) as min_disk_response_time_ms,
cast(s.details->'responseTimeMSAverage' as numeric) as avg_disk_response_time_ms,
cast(s.details->'responseTimeMSPeak' as numeric) as peak_disk_response_time_ms,
s.dcid_seconds
from (
select
s.*,
greatest(extract(epoch from s.end_date - s.start_date), 1) as dcid_seconds
from
tnt_audit.summaryreport_disk_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
) s
left outer join tnt_config.datastore ds on (ds.id = s.vdisk_datastoreid and ds.delete_time is null)
) s
group by
s.node_id,
s.start_date,
s.end_date,
s.datastore_id,
s.datastore_name
) pdisk_stats on (
pdisk_stats.node_id = s.node_id
and pdisk_stats.start_date = s.start_date
and pdisk_stats.end_date = s.end_date
) -- summaryreport_disk_stats
-- NIC stats
left outer join (
-- Sum up numbers across nics by grouping at node_id, start_date, and end_date
select
s.node_id,
s.start_date,
s.end_date,
sum(s.nic_count) as nic_count,
string_agg(distinct (array_to_string(s.ip_addresses,',')), ',' ) as ip_addresses,
sum(s.total_send_bytes) as total_send_bytes,
sum(s.total_send_bytes) / avg(s.ncid_seconds) as avg_send_bytesps,
sum(s.peak_send_bytesps) as peak_send_bytesps,
sum(s.total_receive_bytes) as total_receive_bytes,
sum(s.total_receive_bytes) / avg(s.ncid_seconds) as avg_receive_bytesps,
sum(s.peak_receive_bytesps) as peak_receive_bytesps,
avg(s.ncid_seconds) as ncid_seconds
from (
-- This is at the node_id, start_date, end_date, nic name level
select
s.node_id,
s.start_date,
s.end_date,
s.name,
1 as nic_count,
case when s.addresses is null then array['0.0.0.0/32'::inet] else s.addresses end as ip_addresses,
(send_total * 1024) as total_send_bytes,
(send_peak * 1024) as peak_send_bytesps,
(receive_total * 1024) as total_receive_bytes,
(receive_peak * 1024) as peak_receive_bytesps,
greatest(extract(epoch from s.end_date - s.start_date), 1) as ncid_seconds
from
tnt_audit.summaryreport_nic_stats s
where
(s.end_date between ? and ?)
-- Machine group filer
and ('%' = ? or s.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
and (s.speed > 0)
) s
group by
s.node_id,
s.start_date,
s.end_date
) nic_stats on (
nic_stats.node_id = s.node_id
and nic_stats.start_date = s.start_date
and nic_stats.end_date = s.end_date
) -- summaryreport_nic_stats
) s_t2 on (true)
-- Process stats
left join lateral (
-- Filename: UX.App.ProcessStats.CIDLevel.v3.sql
select
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- count(distinct pr_stats.user_id) as user_count,
-- -- array_to_string(pr_stats.user_ids, ',') as user_count,
-- -- pr_stats.session_id,
-- -- count(distinct pr_stats.session_id) as session_count,
-- -- array_length(pr_stats.session_ids, 1) as session_count,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name,
count(distinct pr_stats.desk_app_id) as desk_app_id_count,
count(distinct pr_stats.desk_app_name) as desk_app_name_count,
count(distinct pr_stats.desk_app_process_name) as desk_app_process_name_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_id end) as desk_app_id_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_name end) as desk_app_name_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_fg_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_id end) as desk_app_id_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_name end) as desk_app_name_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_anr_count,
-- -- pr_stats.owner_id,
-- -- array_length(pr_stats.owner_ids, 1) as desk_app_process_owner_id_count,
-- -- pr_stats.desk_app_process_owner_name,
-- -- array_length(pr_stats.desk_app_process_owner_names, 1) as desk_app_process_owner_name_count,
-- UX Metrics & stats
min(pr_stats.min_launch_delay_ms)/1000.0 as min_launch_delay_s,
avg(pr_stats.avg_launch_delay_ms)/1000.0 as avg_launch_delay_s,
max(pr_stats.avg_launch_delay_ms)/1000.0 as peak_avg_launch_delay_s,
avg(pr_stats.peak_launch_delay_ms)/1000.0 as avg_peak_launch_delay_s,
max(pr_stats.peak_launch_delay_ms)/1000.0 as peak_launch_delay_s,
sum(pr_stats.total_anr) as total_anr,
sum(pr_stats.total_fg_time_sec) as total_fg_time_sec,
-- avg(pr_stats.avg_cpu_percent) as avg_cpu_percent,
-- avg(pr_stats.avg_cpu_mhz) as avg_cpu_mhz,
-- -- avg(pr_stats.avg_ram_used_percent) as avg_ram_used_percent,
-- avg(avg_ram_used_mb) as avg_ram_used_mb,
-- avg(case when pr_stats.avg_pf > 0 then pr_stats.avg_pf else null end) as avg_pf,
-- avg(case when pr_stats.avg_graph > 0 then pr_stats.avg_graph else null end) as avg_graph,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb) as total_disk_io_kb,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_net_iops,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.secs_active) as avg_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb) as total_net_io_kb,
sum(pr_stats.record_count) as record_count
from (
select
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
count(distinct lstats.user_id) as user_count,
array_agg(distinct lstats.user_id) as user_ids,
-- pr_stats.session_id,
count(distinct pr_stats.session_id) as session_count,
array_agg(distinct pr_stats.session_id) as session_ids,
-- coalesce(cast(lstats.details->'session' as numeric), 0) as l_session_id,
-- pr_stats.pid,
-- count(distinct pr_stats.pid) as pid_count,
-- array_agg(distinct pr_stats.pid) as pids,
pr_stats.desk_app_id,
dapp.name as desk_app_name,
pr_stats.desk_app_process_name,
-- pr_stats.owner_id,
count(distinct pr_stats.owner_id) as owner_count,
array_agg(distinct pr_stats.owner_id) as owner_ids,
-- pr_stats.owner_name as desk_app_process_owner_name,
count(distinct pr_stats.owner_name) as desk_app_process_owner_name_count,
string_agg(distinct pr_stats.owner_name, ',') as desk_app_process_owner_names,
-- max(is_a_service) as is_a_service,
-- string_agg(distinct case
-- when (pn.os_platform = 'Windows' and upper(pr_stats.owner_name) != 'SYSTEM' and upper(pr_stats.owner_name) != 'LOCAL SERVICE' and upper(pr_stats.owner_name) != 'NETWORK SERVICE'
-- and upper(pr_stats.owner_name) IS NOT NULL and upper(pr_stats.owner_name) != 'NONE')
-- then 'User'
-- when (pn.os_platform = 'Windows' and (upper(pr_stats.owner_name) = 'SYSTEM' or upper(pr_stats.owner_name) = 'LOCAL SERVICE' or upper(pr_stats.owner_name) = 'NETWORK SERVICE'))
-- then 'System'
-- else ' '
-- end, ',') as process_user_context,
-- string_agg(distinct pr_stats.type, ',') as process_types,
-- string_agg(distinct pr_stats.category, ',') as process_category,
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- avg(pr_stats.pr_seconds) as avg_pr_seconds,
-- sum(pr_stats.pr_seconds) as total_pr_seconds,
-- UX Metrics & stats
min(pr_stats.launch_delay_ms) as min_launch_delay_ms,
avg(pr_stats.launch_delay_ms) as avg_launch_delay_ms,
max(pr_stats.launch_delay_ms) as peak_launch_delay_ms,
sum(pr_stats.anr) as total_anr,
-- max(pr_stats.desk_app_process_elevated) as desk_app_process_elevated,
sum(pr_stats.fg_time_sec) as total_fg_time_sec,
-- Resource metrics & stats
-- pn.total_cpu_alloc_mhz as total_cpu_alloc_mhz,
-- pn.alloc_mhz as cpu_alloc_mhz,
-- sum(pr_stats.avg_cpu_sys_percent * pr_stats.pr_percent_run) as avg_cpu_sys_percent,
-- least(sum(pr_stats.peak_cpu_sys_percent), 100.0) as peak_cpu_sys_percent,
-- -- max(pr_stats.peak_cpu_sys_percent) as peak_cpu_sys_percent,
-- sum(pr_stats.avg_cpu_user_percent * pr_stats.pr_percent_run) as avg_cpu_user_percent,
-- least(sum(pr_stats.peak_cpu_user_percent), 100.0) as peak_cpu_user_percent,
-- -- max(pr_stats.peak_cpu_user_percent) as peak_cpu_user_percent,
sum(pr_stats.avg_cpu_percent * pr_stats.pr_percent_run) as avg_cpu_percent,
-- least(sum(pr_stats.peak_cpu_percent), 100.0) as peak_cpu_percent,
-- -- max(pr_stats.peak_cpu_percent) as peak_cpu_percent,
-- sum(((pr_stats.avg_cpu_sys_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_sys_mhz,
-- least(sum((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_sys_mhz,
-- -- max((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0) as peak_cpu_sys_mhz,
-- sum(((pr_stats.avg_cpu_user_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_user_mhz,
-- least(sum((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_user_mhz,
-- -- max((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0) as peak_cpu_user_mhz,
sum(pr_stats.avg_cpu_mhz * pr_stats.pr_percent_run) as avg_cpu_mhz,
-- least(sum((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_mhz,
-- -- max((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0) as peak_cpu_mhz,
-- sum(pr_stats.cpu_time_ms) as total_cpu_time_ms,
-- sumrpt.mem_alloc as ram_alloc_kb,
-- sum(case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end) as avg_ram_used_percent,
-- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
sum(pr_stats.avg_ram_used_kb * pr_stats.pr_percent_run)/1024 as avg_ram_used_mb,
-- -- sum(pr_stats.avg_ram_used_kb)/1024 as avg_ram_used_mb,
-- max(pr_stats.peak_ram_used_kb)/1024 as peak_ram_used_mb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
sum(pr_stats.avg_pf * pr_stats.pr_percent_run) as avg_pf,
-- sum(pr_stats.avg_pf) as avg_pf,
-- sum(pr_stats.avg_handles * pr_stats.pr_percent_run) as avg_handles,
-- sum(pr_stats.avg_handles) as avg_handles,
-- sum(pr_stats.avg_threads * pr_stats.pr_percent_run) as avg_threads,
-- sum(pr_stats.avg_threads) as avg_threads,
sum(pr_stats.avg_graph * pr_stats.pr_percent_run) as avg_graph,
-- sum(pr_stats.peak_graph) as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
sum(pr_stats.avg_disk_io_count * pr_stats.pr_percent_run) as avg_disk_io_count,
sum((pr_stats.avg_disk_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.pcid_seconds) as avg_disk_iops2,
-- sum(pr_stats.avg_disk_iops * pr_stats.pr_percent_run) as avg_disk_iops3,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
sum(pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run) as avg_disk_io_kb,
sum((pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_rate_kbps * pr_stats.pr_percent_run) as avg_disk_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops,
sum(pr_stats.avg_net_io_count) as avg_net_io_count,
sum((pr_stats.avg_net_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_iops * pr_stats.pr_percent_run) as avg_net_iops,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
sum(pr_stats.avg_net_io_kb * pr_stats.pr_percent_run) as avg_net_io_kb,
sum((pr_stats.avg_net_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_io_rate_kbps,
avg(pr_stats.secs_active) as secs_active,
avg(pr_stats.pcid_seconds) as pcid_seconds,
count(*) as record_count
from (
select
pr_stats.node_id,
pn.machine_name,
pn.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
pr_stats.desk_app_id,
split_part(lower(pr_stats.name), '#', 1) as desk_app_process_name,
-- pr_stats.pid,
pr_stats.owner_id,
lower(pr_stats.owner_name) as owner_name,
coalesce(cast(pr_stats.details->'session' as numeric), 0) as session_id,
case when array_length(pr_stats.service_ids, 1) > 0 then 1 else 0 end as is_a_service,
-- Commenting the next few lines out for updates related to rollups/details and using secs_active instead of pr_start_time and pr_end_time.
-- See below for new lines using secs_active and pr_percent_run columns
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- Metrics & stats
(case when pr_stats.first_record is true then pr_stats.launch_delay_ms else null end) as launch_delay_ms,
(case when pr_stats.non_responsive = 't' then 1 else 0 end) as anr,
(case when pr_stats.anr_count > 0 then pr_stats.anr_count else null end) as anr_count,
(case when cast(pr_stats.details->'elevated' as boolean) is true then 1 else 0 end) as desk_app_process_elevated,
-- (case when pr_stats.elevated is true then 1 else 0 end) as desk_app_process_elevated,
case
when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
else null
end as fg_time_sec,
-- least(coalesce(pr_stats.cpu_avg_sys, 0), 100.0) as avg_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0), 100.0) as peak_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_user_percent,
-- least(coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_user_percent,
least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_percent,
(least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) * pn.alloc_mhz)/100.0 as avg_cpu_mhz,
-- (least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) * pn.alloc_mhz)/100.0 as peak_cpu_mhz,
-- (pr_stats.cpu_total_sys + pr_stats.cpu_total_user) as cpu_time_ms,
-- -- sumrpt.mem_alloc as ram_alloc_kb,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end as avg_ram_used_percent,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
pr_stats.mem_avg as avg_ram_used_kb,
-- pr_stats.mem_peak as peak_ram_used_kb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
pr_stats.pf_avg as avg_pf,
-- cast(pr_stats.details->'elevated' as boolean) as desk_app_process_elevated_bool,
cast(pr_stats.details->'handleAverage' as numeric) as avg_handles,
cast(pr_stats.details->'threadAverage' as numeric) as avg_threads,
pr_stats.graph_avg as avg_graph,
-- pr_stats.graph_peak as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
(coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0)) * pr_stats.secs_active as avg_disk_io_count,
coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0) as avg_disk_iops,
-- coalesce(pr_stats.read_iops_peak, 0) + coalesce(pr_stats.write_iops_peak, 0) as peak_disk_iops,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) * pr_stats.secs_active as avg_disk_io_kb,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) as avg_disk_io_rate_kbps,
-- (coalesce(pr_stats.read_io_peak, 0) + coalesce(pr_stats.write_io_peak, 0)) * 1024 as peak_disk_io_rate_bytesps,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_kb,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) as avg_net_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops
(coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_count,
coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0) as avg_net_iops,
-- Not available in rollup
-- pr_stats.type,
-- pr_stats.category,
greatest(pr_stats.secs_active, 1) / greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pr_percent_run,
greatest(pr_stats.secs_active, 1)::int as secs_active,
greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pcid_seconds
from
tnt_audit.summaryreport_process_stats pr_stats
-- Join to policynode, node, and os to get relevant information
-- Todo: use a with clause to pull this only once
join (
select
pn.id as node_id,
pn.name as machine_name,
nde.fqmn as machine_fqmn,
nde.os_id,
os.name as os_platform,
nde.ihostversion,
case when nde.vmtype is null then 0 else 1 end as is_vm,
nde.vmtype,
count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_count,
avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_cores,
avg(nhcpu.logical_cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_v_cores,
avg(nhcpu.speed_mhz) as avg_cpu_alloc_mhz,
-- avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
-- case when os.name = 'Windows'
-- -- then avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- then avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- else avg(nhcpu.speed_mhz)
-- end as alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as alloc_mhz
-- count(distinct nhdisp.hardware_id || '-' || nhdisp.id) as total_monitor_count
from
tnt_config.policynode pn
join tnt_config.node nde on (nde.id = pn.id and nde.delete_time is null)
join tnt_config.node_hardware_cpus nhcpu on (nhcpu.hardware_id = nde.hardware_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.node_hardware_displays nhdisp on (nhdisp.hardware_id = nde.hardware_id)
where
pn.delete_time is null
and pn.type <= 2
-- and pn.name ilike 'desktop-c65gr6p'
group by
pn.id,
nde.id,
os.id
) pn on (pn.node_id = pr_stats.node_id)
where
-- Process Date filter
(pr_stats.end_date between ? and ?)
-- Process Machine group filer
and ('%' = ? or pr_stats.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
-- and pr_stats.node_id = 17586 -- desktop-c65gr6p on devhub
-- and pr_stats.node_id = 17583 -- atl-l1582 on devhub
-- and (pr_stats.name ilike 'chrome')
-- and (pr_stats.name ilike 'camtasiastudio%')
-- and (pr_stats.name ilike 'svchost%')
-- order by
-- pr_stats.end_date asc
) pr_stats
join tnt_config.desktop_app dapp on (dapp.id = pr_stats.desk_app_id) -- and dapp.name ilike 'FileZilla 3.65%')
left outer join tnt_audit.summaryreport_login_stats lstats on (
lstats.node_id = pr_stats.node_id
and lstats.start_date = pr_stats.start_date
and lstats.end_date = pr_stats.end_date
-- and cast(lstats.details->'session' as numeric) = cast(pr_stats.details->'session' as numeric)
and cast(lstats.details->'session' as numeric) = pr_stats.session_id
and (lstats.start_date between ? and ? or
lstats.end_date between ? and ?)
)
left outer join tnt_config.policyidentity pi on (pi.id = lstats.user_id and pi.delete_time is null and pi.type = 1)
where
-- Summary User Group filter
('%' = ? or lstats.user_id is null or lstats.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name ilike ?)))
group by
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
-- pr_stats.session_id,
pr_stats.desk_app_id,
dapp.id,
pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.owner_name
-- order by
-- end_date asc
) pr_stats
-- where
-- pr_stats.node_id = s.node_id
-- group by
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- pr_stats.session_id,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.desk_app_process_owner_name
-- order by
-- avg_cpu_mhz desc
-- limit 5
) pr_stats_t1 on (true)
-- Process stats
left join lateral (
-- Filename: UX.App.ProcessStats.CIDLevel.v3.sql
select
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- count(distinct pr_stats.user_id) as user_count,
-- -- array_to_string(pr_stats.user_ids, ',') as user_count,
-- -- pr_stats.session_id,
-- -- count(distinct pr_stats.session_id) as session_count,
-- -- array_length(pr_stats.session_ids, 1) as session_count,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name,
count(distinct pr_stats.desk_app_id) as desk_app_id_count,
count(distinct pr_stats.desk_app_name) as desk_app_name_count,
count(distinct pr_stats.desk_app_process_name) as desk_app_process_name_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_id end) as desk_app_id_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_name end) as desk_app_name_fg_count,
count(distinct case when pr_stats.total_fg_time_sec > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_fg_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_id end) as desk_app_id_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_name end) as desk_app_name_anr_count,
count(distinct case when pr_stats.total_anr > 0 then pr_stats.desk_app_process_name end) as desk_app_process_name_anr_count,
-- -- pr_stats.owner_id,
-- -- array_length(pr_stats.owner_ids, 1) as desk_app_process_owner_id_count,
-- -- pr_stats.desk_app_process_owner_name,
-- -- array_length(pr_stats.desk_app_process_owner_names, 1) as desk_app_process_owner_name_count,
-- UX Metrics & stats
min(pr_stats.min_launch_delay_ms)/1000.0 as min_launch_delay_s,
avg(pr_stats.avg_launch_delay_ms)/1000.0 as avg_launch_delay_s,
max(pr_stats.avg_launch_delay_ms)/1000.0 as peak_avg_launch_delay_s,
avg(pr_stats.peak_launch_delay_ms)/1000.0 as avg_peak_launch_delay_s,
max(pr_stats.peak_launch_delay_ms)/1000.0 as peak_launch_delay_s,
sum(pr_stats.total_anr) as total_anr,
sum(pr_stats.total_fg_time_sec) as total_fg_time_sec,
-- avg(pr_stats.avg_cpu_percent) as avg_cpu_percent,
-- avg(pr_stats.avg_cpu_mhz) as avg_cpu_mhz,
-- -- avg(pr_stats.avg_ram_used_percent) as avg_ram_used_percent,
-- avg(avg_ram_used_mb) as avg_ram_used_mb,
-- avg(case when pr_stats.avg_pf > 0 then pr_stats.avg_pf else null end) as avg_pf,
-- avg(case when pr_stats.avg_graph > 0 then pr_stats.avg_graph else null end) as avg_graph,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/sum(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb)/sum(pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_kb) as total_disk_io_kb,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.pcid_seconds) as avg_adv_net_iops,
-- sum(pr_stats.avg_net_io_count)/sum(pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.pcid_seconds) as avg_adv_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb)/sum(pr_stats.secs_active) as avg_net_io_rate_kbps,
-- sum(pr_stats.avg_net_io_kb) as total_net_io_kb,
sum(pr_stats.record_count) as record_count
from (
select
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
count(distinct lstats.user_id) as user_count,
array_agg(distinct lstats.user_id) as user_ids,
-- pr_stats.session_id,
count(distinct pr_stats.session_id) as session_count,
array_agg(distinct pr_stats.session_id) as session_ids,
-- coalesce(cast(lstats.details->'session' as numeric), 0) as l_session_id,
-- pr_stats.pid,
-- count(distinct pr_stats.pid) as pid_count,
-- array_agg(distinct pr_stats.pid) as pids,
pr_stats.desk_app_id,
dapp.name as desk_app_name,
pr_stats.desk_app_process_name,
-- pr_stats.owner_id,
count(distinct pr_stats.owner_id) as owner_count,
array_agg(distinct pr_stats.owner_id) as owner_ids,
-- pr_stats.owner_name as desk_app_process_owner_name,
count(distinct pr_stats.owner_name) as desk_app_process_owner_name_count,
string_agg(distinct pr_stats.owner_name, ',') as desk_app_process_owner_names,
-- max(is_a_service) as is_a_service,
-- string_agg(distinct case
-- when (pn.os_platform = 'Windows' and upper(pr_stats.owner_name) != 'SYSTEM' and upper(pr_stats.owner_name) != 'LOCAL SERVICE' and upper(pr_stats.owner_name) != 'NETWORK SERVICE'
-- and upper(pr_stats.owner_name) IS NOT NULL and upper(pr_stats.owner_name) != 'NONE')
-- then 'User'
-- when (pn.os_platform = 'Windows' and (upper(pr_stats.owner_name) = 'SYSTEM' or upper(pr_stats.owner_name) = 'LOCAL SERVICE' or upper(pr_stats.owner_name) = 'NETWORK SERVICE'))
-- then 'System'
-- else ' '
-- end, ',') as process_user_context,
-- string_agg(distinct pr_stats.type, ',') as process_types,
-- string_agg(distinct pr_stats.category, ',') as process_category,
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- avg(pr_stats.pr_seconds) as avg_pr_seconds,
-- sum(pr_stats.pr_seconds) as total_pr_seconds,
-- UX Metrics & stats
min(pr_stats.launch_delay_ms) as min_launch_delay_ms,
avg(pr_stats.launch_delay_ms) as avg_launch_delay_ms,
max(pr_stats.launch_delay_ms) as peak_launch_delay_ms,
sum(pr_stats.anr) as total_anr,
-- max(pr_stats.desk_app_process_elevated) as desk_app_process_elevated,
sum(pr_stats.fg_time_sec) as total_fg_time_sec,
-- Resource metrics & stats
-- pn.total_cpu_alloc_mhz as total_cpu_alloc_mhz,
-- pn.alloc_mhz as cpu_alloc_mhz,
-- sum(pr_stats.avg_cpu_sys_percent * pr_stats.pr_percent_run) as avg_cpu_sys_percent,
-- least(sum(pr_stats.peak_cpu_sys_percent), 100.0) as peak_cpu_sys_percent,
-- -- max(pr_stats.peak_cpu_sys_percent) as peak_cpu_sys_percent,
-- sum(pr_stats.avg_cpu_user_percent * pr_stats.pr_percent_run) as avg_cpu_user_percent,
-- least(sum(pr_stats.peak_cpu_user_percent), 100.0) as peak_cpu_user_percent,
-- -- max(pr_stats.peak_cpu_user_percent) as peak_cpu_user_percent,
sum(pr_stats.avg_cpu_percent * pr_stats.pr_percent_run) as avg_cpu_percent,
-- least(sum(pr_stats.peak_cpu_percent), 100.0) as peak_cpu_percent,
-- -- max(pr_stats.peak_cpu_percent) as peak_cpu_percent,
-- sum(((pr_stats.avg_cpu_sys_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_sys_mhz,
-- least(sum((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_sys_mhz,
-- -- max((pr_stats.peak_cpu_sys_percent * pn.alloc_mhz)/100.0) as peak_cpu_sys_mhz,
-- sum(((pr_stats.avg_cpu_user_percent * pn.alloc_mhz)/100.0) * pr_stats.pr_percent_run) as avg_cpu_user_mhz,
-- least(sum((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_user_mhz,
-- -- max((pr_stats.peak_cpu_user_percent * pn.alloc_mhz)/100.0) as peak_cpu_user_mhz,
sum(pr_stats.avg_cpu_mhz * pr_stats.pr_percent_run) as avg_cpu_mhz,
-- least(sum((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0), max(pn.alloc_mhz)) as peak_cpu_mhz,
-- -- max((pr_stats.peak_cpu_percent * pn.alloc_mhz)/100.0) as peak_cpu_mhz,
-- sum(pr_stats.cpu_time_ms) as total_cpu_time_ms,
-- sumrpt.mem_alloc as ram_alloc_kb,
-- sum(case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end) as avg_ram_used_percent,
-- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
sum(pr_stats.avg_ram_used_kb * pr_stats.pr_percent_run)/1024 as avg_ram_used_mb,
-- -- sum(pr_stats.avg_ram_used_kb)/1024 as avg_ram_used_mb,
-- max(pr_stats.peak_ram_used_kb)/1024 as peak_ram_used_mb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
sum(pr_stats.avg_pf * pr_stats.pr_percent_run) as avg_pf,
-- sum(pr_stats.avg_pf) as avg_pf,
-- sum(pr_stats.avg_handles * pr_stats.pr_percent_run) as avg_handles,
-- sum(pr_stats.avg_handles) as avg_handles,
-- sum(pr_stats.avg_threads * pr_stats.pr_percent_run) as avg_threads,
-- sum(pr_stats.avg_threads) as avg_threads,
sum(pr_stats.avg_graph * pr_stats.pr_percent_run) as avg_graph,
-- sum(pr_stats.peak_graph) as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
sum(pr_stats.avg_disk_io_count * pr_stats.pr_percent_run) as avg_disk_io_count,
sum((pr_stats.avg_disk_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.secs_active) as avg_disk_iops,
-- sum(pr_stats.avg_disk_io_count)/avg(pr_stats.pcid_seconds) as avg_disk_iops2,
-- sum(pr_stats.avg_disk_iops * pr_stats.pr_percent_run) as avg_disk_iops3,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
sum(pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run) as avg_disk_io_kb,
sum((pr_stats.avg_disk_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_disk_io_rate_kbps,
-- sum(pr_stats.avg_disk_io_rate_kbps * pr_stats.pr_percent_run) as avg_disk_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops,
sum(pr_stats.avg_net_io_count) as avg_net_io_count,
sum((pr_stats.avg_net_io_count * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_iops,
-- sum(pr_stats.avg_net_iops * pr_stats.pr_percent_run) as avg_net_iops,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
sum(pr_stats.avg_net_io_kb * pr_stats.pr_percent_run) as avg_net_io_kb,
sum((pr_stats.avg_net_io_kb * pr_stats.pr_percent_run)/pr_stats.secs_active) as avg_net_io_rate_kbps,
-- psnd.sendkbtotal,
-- psnd.receivekbtotal,
-- psnd.pinglatencymsavg,
-- psnd.jitteravg,
avg(pr_stats.secs_active) as secs_active,
avg(pr_stats.pcid_seconds) as pcid_seconds,
count(*) as record_count
from (
select
pr_stats.node_id,
pn.machine_name,
pn.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
pr_stats.desk_app_id,
split_part(lower(pr_stats.name), '#', 1) as desk_app_process_name,
-- pr_stats.pid,
pr_stats.owner_id,
lower(pr_stats.owner_name) as owner_name,
coalesce(cast(pr_stats.details->'session' as numeric), 0) as session_id,
case when array_length(pr_stats.service_ids, 1) > 0 then 1 else 0 end as is_a_service,
-- Commenting the next few lines out for updates related to rollups/details and using secs_active instead of pr_start_time and pr_end_time.
-- See below for new lines using secs_active and pr_percent_run columns
-- pr_stats.pr_start_time,
-- pr_stats.pr_end_time,
-- extract(epoch from pr_stats.end_date - pr_stats.start_date) as cid_seconds,
-- Metrics & stats
(case when pr_stats.first_record is true then pr_stats.launch_delay_ms else null end) as launch_delay_ms,
(case when pr_stats.non_responsive = 't' then 1 else 0 end) as anr,
(case when pr_stats.anr_count > 0 then pr_stats.anr_count else null end) as anr_count,
(case when cast(pr_stats.details->'elevated' as boolean) is true then 1 else 0 end) as desk_app_process_elevated,
-- (case when pr_stats.elevated is true then 1 else 0 end) as desk_app_process_elevated,
case
when cast(pr_stats.details->'totalForegroundTimeSec' as numeric) > 0
then least(cast(pr_stats.details->'totalForegroundTimeSec' as numeric), extract(epoch from least(?, pr_stats.end_date) - greatest(?, pr_stats.start_date)))
else null
end as fg_time_sec,
-- least(coalesce(pr_stats.cpu_avg_sys, 0), 100.0) as avg_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0), 100.0) as peak_cpu_sys_percent,
-- least(coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_user_percent,
-- least(coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_user_percent,
least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) as avg_cpu_percent,
-- least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) as peak_cpu_percent,
(least(coalesce(pr_stats.cpu_avg_sys, 0) + coalesce(pr_stats.cpu_avg_user, 0), 100.0) * pn.alloc_mhz)/100.0 as avg_cpu_mhz,
-- (least(coalesce(pr_stats.cpu_peak_sys, 0) + coalesce(pr_stats.cpu_peak_user, 0), 100.0) * pn.alloc_mhz)/100.0 as peak_cpu_mhz,
-- (pr_stats.cpu_total_sys + pr_stats.cpu_total_user) as cpu_time_ms,
-- -- sumrpt.mem_alloc as ram_alloc_kb,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_avg/sumrpt.mem_alloc) * 100 else null end as avg_ram_used_percent,
-- -- case when sumrpt.mem_alloc > 0 then (pr_stats.mem_peak/sumrpt.mem_alloc) * 100 else null end as peak_ram_used_percent,
pr_stats.mem_avg as avg_ram_used_kb,
-- pr_stats.mem_peak as peak_ram_used_kb,
-- -- cast(pr_stats.details->'memPrivateMin' as numeric) as min_ram_private_kb,
-- cast(pr_stats.details->'memPrivateAverage' as numeric) as avg_ram_private_kb,
-- cast(pr_stats.details->'memPrivatePeak' as numeric) as peak_ram_private_kb,
-- -- cast(pr_stats.details->'memSharedMin' as numeric) as min_ram_shared_kb,
-- cast(pr_stats.details->'memSharedAverage' as numeric) as avg_ram_shared_kb,
-- cast(pr_stats.details->'memSharedPeak' as numeric) as peak_ram_shared_kb,
-- cast(pr_stats.details->'gpuLoadAverage' as numeric) as avg_gpu_load_percent,
-- cast(pr_stats.details->'gpuLoadPeak' as numeric) as peak_gpu_load_percent,
-- cast(pr_stats.details->'gpuMemAverage' as numeric) as avg_gpu_mem_percent,
-- cast(pr_stats.details->'gpuMemPeak' as numeric) as peak_gpu_mem_percent,
-- cast(pr_stats.details->'gpuShMemAverage' as numeric) as avg_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuShMemPeak' as numeric) as peak_gpu_shmem_kb,
-- cast(pr_stats.details->'gpuDedMemAverage' as numeric) as avg_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuDedMemPeak' as numeric) as peak_gpu_dedmem_kb,
-- cast(pr_stats.details->'gpuEncodeAverage' as numeric) as avg_gpu_encode_percent,
-- cast(pr_stats.details->'gpuEncodePeak' as numeric) as peak_gpu_encode_percent,
-- cast(pr_stats.details->'gpuDecodeAverage' as numeric) as avg_gpu_decode_percent,
-- cast(pr_stats.details->'gpuDecodePeak' as numeric) as peak_gpu_decode_percent,
pr_stats.pf_avg as avg_pf,
-- cast(pr_stats.details->'elevated' as boolean) as desk_app_process_elevated_bool,
cast(pr_stats.details->'handleAverage' as numeric) as avg_handles,
cast(pr_stats.details->'threadAverage' as numeric) as avg_threads,
pr_stats.graph_avg as avg_graph,
-- pr_stats.graph_peak as peak_graph,
-- pr_stats.read_iops_avg as avg_disk_read_iops,
-- pr_stats.read_iops_peak as peak_disk_read_iops,
-- pr_stats.write_iops_avg as avg_disk_write_iops,
-- pr_stats.write_iops_peak as peak_disk_write_iops,
(coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0)) * pr_stats.secs_active as avg_disk_io_count,
coalesce(pr_stats.read_iops_avg, 0) + coalesce(pr_stats.write_iops_avg, 0) as avg_disk_iops,
-- coalesce(pr_stats.read_iops_peak, 0) + coalesce(pr_stats.write_iops_peak, 0) as peak_disk_iops,
-- pr_stats.read_io_avg * 1024 as avg_disk_io_read_rate_bytesps,
-- pr_stats.read_io_peak * 1024 as peak_disk_io_read_rate_bytesps,
-- pr_stats.write_io_avg * 1024 as avg_disk_io_write_rate_bytesps,
-- pr_stats.write_io_peak * 1024 as peak_disk_io_write_rate_bytesps,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) * pr_stats.secs_active as avg_disk_io_kb,
(coalesce(pr_stats.read_io_avg, 0) + coalesce(pr_stats.write_io_avg, 0)) as avg_disk_io_rate_kbps,
-- (coalesce(pr_stats.read_io_peak, 0) + coalesce(pr_stats.write_io_peak, 0)) * 1024 as peak_disk_io_rate_bytesps,
-- cast(pr_stats.details->'networkReadIoAverage' as numeric) * 1024 as avg_net_io_read_rate_bytesps,
-- cast(pr_stats.details->'networkWriteIoAverage' as numeric) * 1024 as avg_net_io_write_rate_bytesps,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_kb,
(coalesce(cast(pr_stats.details->'networkReadIoAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIoAverage' as numeric), 0)) as avg_net_io_rate_kbps,
-- cast(pr_stats.details->'networkReadIopsAverage' as numeric) as avg_net_read_iops,
-- cast(pr_stats.details->'networkWriteIopsAverage' as numeric) as avg_net_write_iops
(coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0)) * pr_stats.secs_active as avg_net_io_count,
coalesce(cast(pr_stats.details->'networkReadIopsAverage' as numeric), 0) + coalesce(cast(pr_stats.details->'networkWriteIopsAverage' as numeric), 0) as avg_net_iops,
-- Not available in rollup
-- pr_stats.type,
-- pr_stats.category,
greatest(pr_stats.secs_active, 1) / greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pr_percent_run,
greatest(pr_stats.secs_active, 1)::int as secs_active,
greatest(extract(epoch from pr_stats.end_date - pr_stats.start_date), 1) as pcid_seconds
from
tnt_audit.summaryreport_process_stats pr_stats
-- Join to policynode, node, and os to get relevant information
-- Todo: use a with clause to pull this only once
join (
select
pn.id as node_id,
pn.name as machine_name,
nde.fqmn as machine_fqmn,
nde.os_id,
os.name as os_platform,
nde.ihostversion,
case when nde.vmtype is null then 0 else 1 end as is_vm,
nde.vmtype,
count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_count,
avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_cores,
avg(nhcpu.logical_cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_v_cores,
avg(nhcpu.speed_mhz) as avg_cpu_alloc_mhz,
-- avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as total_cpu_alloc_mhz,
-- case when os.name = 'Windows'
-- -- then avg(nhcpu.speed_mhz) * avg(coalesce(nhcpu.logical_cores, nhcpu.cores)) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- then avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id)
-- else avg(nhcpu.speed_mhz)
-- end as alloc_mhz,
avg(nhcpu.speed_mhz) * avg(nhcpu.cores) * count(distinct nhcpu.hardware_id || '-' || nhcpu.id) as alloc_mhz
-- count(distinct nhdisp.hardware_id || '-' || nhdisp.id) as total_monitor_count
from
tnt_config.policynode pn
join tnt_config.node nde on (nde.id = pn.id and nde.delete_time is null)
join tnt_config.node_hardware_cpus nhcpu on (nhcpu.hardware_id = nde.hardware_id)
join tnt_config.os os on (os.id = nde.os_id)
-- left outer join tnt_config.node_hardware_displays nhdisp on (nhdisp.hardware_id = nde.hardware_id)
where
pn.delete_time is null
and pn.type <= 2
-- and pn.name ilike 'desktop-c65gr6p'
group by
pn.id,
nde.id,
os.id
) pn on (pn.node_id = pr_stats.node_id)
where
-- Process Date filter
(pr_stats.end_date between ? and ?)
-- Process Machine group filer
and ('%' = ? or pr_stats.node_id in
(select ngn.nodeid from tnt_config.policynode pn, tnt_config.nodegroup_node ngn
where (pn.type = 5) and (pn.id = ngn.nodegroupid) and (pn.name ilike ?)))
-- and pr_stats.node_id = 17586 -- desktop-c65gr6p on devhub
-- and pr_stats.node_id = 17583 -- atl-l1582 on devhub
-- and (pr_stats.name ilike 'chrome')
-- and (pr_stats.name ilike 'camtasiastudio%')
-- and (pr_stats.name ilike 'svchost%')
-- order by
-- pr_stats.end_date asc
) pr_stats
join tnt_config.desktop_app dapp on (dapp.id = pr_stats.desk_app_id) -- and dapp.name ilike 'FileZilla 3.65%')
left outer join tnt_audit.summaryreport_login_stats lstats on (
lstats.node_id = pr_stats.node_id
and lstats.start_date = pr_stats.start_date
and lstats.end_date = pr_stats.end_date
-- and cast(lstats.details->'session' as numeric) = cast(pr_stats.details->'session' as numeric)
and cast(lstats.details->'session' as numeric) = pr_stats.session_id
and (lstats.start_date between ? and ? or
lstats.end_date between ? and ?)
)
left outer join tnt_config.policyidentity pi on (pi.id = lstats.user_id and pi.delete_time is null and pi.type = 1)
where
-- Summary User Group filter
('%' = ? or lstats.user_id is null or lstats.user_id in
(select igi.uid from tnt_config.policyidentity pi, tnt_config.identitygroup_identity igi
where (pi.type = 2) and (pi.id = igi.groupid) and (pi.name ilike ?)))
group by
pr_stats.node_id,
pr_stats.machine_name,
pr_stats.machine_fqmn,
pr_stats.start_date,
pr_stats.end_date,
-- lstats.user_id,
-- pr_stats.session_id,
pr_stats.desk_app_id,
dapp.id,
pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.owner_name
-- order by
-- end_date asc
) pr_stats
-- where
-- pr_stats.node_id = s.node_id
-- group by
-- pr_stats.node_id,
-- pr_stats.machine_name,
-- pr_stats.machine_fqmn,
-- -- pr_stats.user_id,
-- -- pr_stats.session_id,
-- pr_stats.desk_app_id,
-- pr_stats.desk_app_name,
-- pr_stats.desk_app_process_name
-- pr_stats.owner_id,
-- pr_stats.desk_app_process_owner_name
-- order by
-- avg_cpu_mhz desc
-- limit 5
) pr_stats_t2 on (true)
left outer join (
select
(case when license.machine_license_count > 0 then 'License' else 'Registered' end) as machine_label,
max(pn.machine_registered_count) as machine_registered_count,
max(case when license.machine_license_count > 0 then license.machine_license_count end) as machine_license_count,
max(case when license.machine_license_count > 0 then license.machine_license_count else pn.machine_registered_count end) as machine_total_count,
(case when license.user_license_count > 0 then 'License' else 'Registered' end) as user_label,
max(pi.user_registered_count) as user_registered_count,
max(case when license.user_license_count > 0 then license.user_license_count end) as user_license_count,
max(case when license.user_license_count > 0 then license.user_license_count else pi.user_registered_count end) as user_total_count
from (
select
count(distinct pn.id) as machine_registered_count
from
tnt_config.policynode pn
join tnt_config.node nde on (nde.id = pn.id and nde.delete_time is null and nde.ihostversion is not null)
where
pn.delete_time is null
and pn.type <= 2
) pn
left outer join (
select
count(distinct pi.id) as user_registered_count
from
tnt_config.policyidentity pi
join tnt_config.identity id on (id.id = pi.id and id.last_login_time is not null)
where
pi.delete_time is null
and pi.type = 1
) pi on (true)
left outer join (
select
(xpath('/license/maxNodes/text()', license_xml))[1]::text::int as machine_license_count,
(xpath('/license/maxUsers/text()', license_xml))[1]::text::int as user_license_count
from (
select
(convert_from(decode(license, 'base64'), 'utf-8'))::xml as license_xml
from
tnt_config.globaloptions
) license
) license on (true)
group by
machine_label,
user_label
) license on (true)
;]]>2.0In19300UnknownIn29300UnknownIn31200UnknownIn41200UnknownIn51200UnknownIn61200UnknownIn79300UnknownIn89300UnknownIn91200UnknownIn101200UnknownIn111200UnknownIn121200UnknownIn139300UnknownIn149300UnknownIn151200UnknownIn161200UnknownIn179300UnknownIn189300UnknownIn191200UnknownIn201200UnknownIn219300UnknownIn229300UnknownIn231200UnknownIn241200UnknownIn251200UnknownIn261200UnknownIn279300UnknownIn289300UnknownIn291200UnknownIn301200UnknownIn311200UnknownIn321200UnknownIn339300UnknownIn349300UnknownIn351200UnknownIn361200UnknownIn379300UnknownIn389300UnknownIn391200UnknownIn401200UnknownIn419300UnknownIn429300UnknownIn439300UnknownIn449300UnknownIn451200UnknownIn461200UnknownIn479300UnknownIn489300UnknownIn499300UnknownIn509300UnknownIn511200UnknownIn521200UnknownIn539300UnknownIn549300UnknownIn559300UnknownIn569300UnknownIn571200UnknownIn581200UnknownIn599300UnknownIn609300UnknownIn619300UnknownIn629300UnknownIn631200UnknownIn641200Unknownuser_count_t11-5190Unknownuser_count_t1user_count_t120user_count_t22-5190Unknownuser_count_t2user_count_t220machine_count_t13-5190Unknownmachine_count_t1machine_count_t120machine_count_t24-5190Unknownmachine_count_t2machine_count_t220worst_ux_score_t1581717Unknownworst_ux_score_t1worst_ux_score_t125worst_ux_score_t2681717Unknownworst_ux_score_t2worst_ux_score_t225avg_ux_score_t1781717Unknownavg_ux_score_t1avg_ux_score_t125avg_ux_score_t2881717Unknownavg_ux_score_t2avg_ux_score_t225best_ux_score_t1981717Unknownbest_ux_score_t1best_ux_score_t125best_ux_score_t21081717Unknownbest_ux_score_t2best_ux_score_t225avg_cpu_percent_t11181717Unknownavg_cpu_percent_t1avg_cpu_percent_t125avg_cpu_percent_t21281717Unknownavg_cpu_percent_t2avg_cpu_percent_t225avg_peak_cpu_percent_t11381717Unknownavg_peak_cpu_percent_t1avg_peak_cpu_percent_t125avg_peak_cpu_percent_t21481717Unknownavg_peak_cpu_percent_t2avg_peak_cpu_percent_t225avg_cpu_queue_t11581717Unknownavg_cpu_queue_t1avg_cpu_queue_t125avg_cpu_queue_t21681717Unknownavg_cpu_queue_t2avg_cpu_queue_t225peak_avg_cpu_queue_t11781717Unknownpeak_avg_cpu_queue_t1peak_avg_cpu_queue_t125peak_avg_cpu_queue_t21881717Unknownpeak_avg_cpu_queue_t2peak_avg_cpu_queue_t225avg_peak_cpu_queue_t11981717Unknownavg_peak_cpu_queue_t1avg_peak_cpu_queue_t125avg_peak_cpu_queue_t22081717Unknownavg_peak_cpu_queue_t2avg_peak_cpu_queue_t225peak_cpu_queue_t12181717Unknownpeak_cpu_queue_t1peak_cpu_queue_t125peak_cpu_queue_t22281717Unknownpeak_cpu_queue_t2peak_cpu_queue_t225avg_ram_percent_t12381717Unknownavg_ram_percent_t1avg_ram_percent_t125avg_ram_percent_t22481717Unknownavg_ram_percent_t2avg_ram_percent_t225peak_avg_ram_percent_t12581717Unknownpeak_avg_ram_percent_t1peak_avg_ram_percent_t125peak_avg_ram_percent_t22681717Unknownpeak_avg_ram_percent_t2peak_avg_ram_percent_t225avg_peak_ram_percent_t12781717Unknownavg_peak_ram_percent_t1avg_peak_ram_percent_t125avg_peak_ram_percent_t22881717Unknownavg_peak_ram_percent_t2avg_peak_ram_percent_t225peak_ram_percent_t12981717Unknownpeak_ram_percent_t1peak_ram_percent_t125peak_ram_percent_t23081717Unknownpeak_ram_percent_t2peak_ram_percent_t225total_app_anr_t131-5190Unknowntotal_app_anr_t1total_app_anr_t120total_app_anr_t232-5190Unknowntotal_app_anr_t2total_app_anr_t220avg_app_launch_delay_s_t13381717Unknownavg_app_launch_delay_s_t1avg_app_launch_delay_s_t125avg_app_launch_delay_s_t23481717Unknownavg_app_launch_delay_s_t2avg_app_launch_delay_s_t225peak_avg_app_launch_delay_s_t13581717Unknownpeak_avg_app_launch_delay_s_t1peak_avg_app_launch_delay_s_t125peak_avg_app_launch_delay_s_t23681717Unknownpeak_avg_app_launch_delay_s_t2peak_avg_app_launch_delay_s_t225host_count_t137-5190Unknownhost_count_t1host_count_t120host_count_t238-5190Unknownhost_count_t2host_count_t220]]>0ptLandscapeMasterPageauto100%Management-Executive-Summaryuser_count_t1user_count_t1dataSetRow["user_count_t1"]decimaluser_count_t2user_count_t2dataSetRow["user_count_t2"]decimalmachine_count_t1machine_count_t1dataSetRow["machine_count_t1"]decimalmachine_count_t2machine_count_t2dataSetRow["machine_count_t2"]decimalmachine_labelmachine_labeldataSetRow["machine_label"]stringmachine_registered_countmachine_registered_countdataSetRow["machine_registered_count"]decimalmachine_license_countmachine_license_countdataSetRow["machine_license_count"]integermachine_total_countmachine_total_countdataSetRow["machine_total_count"]decimaluser_labeluser_labeldataSetRow["user_label"]stringuser_registered_countuser_registered_countdataSetRow["user_registered_count"]decimaluser_license_countuser_license_countdataSetRow["user_license_count"]integeruser_total_countuser_total_countdataSetRow["user_total_count"]decimalworst_ux_score_t1worst_ux_score_t1dataSetRow["worst_ux_score_t1"]floatworst_ux_score_t2worst_ux_score_t2dataSetRow["worst_ux_score_t2"]floatavg_ux_score_t1avg_ux_score_t1dataSetRow["avg_ux_score_t1"]floatavg_ux_score_t2avg_ux_score_t2dataSetRow["avg_ux_score_t2"]floatbest_ux_score_t1best_ux_score_t1dataSetRow["best_ux_score_t1"]floatbest_ux_score_t2best_ux_score_t2dataSetRow["best_ux_score_t2"]floatmachines_ux_good_count_t1machines_ux_good_count_t1dataSetRow["machines_ux_good_count_t1"]decimalmachines_ux_fair_count_t1machines_ux_fair_count_t1dataSetRow["machines_ux_fair_count_t1"]decimalmachines_ux_poor_count_t1machines_ux_poor_count_t1dataSetRow["machines_ux_poor_count_t1"]decimalmachines_ux_good_count_t2machines_ux_good_count_t2dataSetRow["machines_ux_good_count_t2"]decimalmachines_ux_fair_count_t2machines_ux_fair_count_t2dataSetRow["machines_ux_fair_count_t2"]decimalmachines_ux_poor_count_t2machines_ux_poor_count_t2dataSetRow["machines_ux_poor_count_t2"]decimalavg_cpu_percent_t1avg_cpu_percent_t1dataSetRow["avg_cpu_percent_t1"]floatavg_cpu_percent_t2avg_cpu_percent_t2dataSetRow["avg_cpu_percent_t2"]floatavg_peak_cpu_percent_t1avg_peak_cpu_percent_t1dataSetRow["avg_peak_cpu_percent_t1"]floatavg_peak_cpu_percent_t2avg_peak_cpu_percent_t2dataSetRow["avg_peak_cpu_percent_t2"]floatavg_cpu_queue_t1avg_cpu_queue_t1dataSetRow["avg_cpu_queue_t1"]floatavg_cpu_queue_t2avg_cpu_queue_t2dataSetRow["avg_cpu_queue_t2"]floatpeak_avg_cpu_queue_t1peak_avg_cpu_queue_t1dataSetRow["peak_avg_cpu_queue_t1"]floatpeak_avg_cpu_queue_t2peak_avg_cpu_queue_t2dataSetRow["peak_avg_cpu_queue_t2"]floatavg_peak_cpu_queue_t1avg_peak_cpu_queue_t1dataSetRow["avg_peak_cpu_queue_t1"]floatavg_peak_cpu_queue_t2avg_peak_cpu_queue_t2dataSetRow["avg_peak_cpu_queue_t2"]floatpeak_cpu_queue_t1peak_cpu_queue_t1dataSetRow["peak_cpu_queue_t1"]floatpeak_cpu_queue_t2peak_cpu_queue_t2dataSetRow["peak_cpu_queue_t2"]floatavg_ram_percent_t1avg_ram_percent_t1dataSetRow["avg_ram_percent_t1"]floatavg_ram_percent_t2avg_ram_percent_t2dataSetRow["avg_ram_percent_t2"]floatpeak_avg_ram_percent_t1peak_avg_ram_percent_t1dataSetRow["peak_avg_ram_percent_t1"]floatpeak_avg_ram_percent_t2peak_avg_ram_percent_t2dataSetRow["peak_avg_ram_percent_t2"]floatavg_peak_ram_percent_t1avg_peak_ram_percent_t1dataSetRow["avg_peak_ram_percent_t1"]floatavg_peak_ram_percent_t2avg_peak_ram_percent_t2dataSetRow["avg_peak_ram_percent_t2"]floatpeak_ram_percent_t1peak_ram_percent_t1dataSetRow["peak_ram_percent_t1"]floatpeak_ram_percent_t2peak_ram_percent_t2dataSetRow["peak_ram_percent_t2"]floatmin_login_delay_s_t1min_login_delay_s_t1dataSetRow["min_login_delay_s_t1"]floatmin_login_delay_s_t2min_login_delay_s_t2dataSetRow["min_login_delay_s_t2"]floatavg_login_delay_s_t1avg_login_delay_s_t1dataSetRow["avg_login_delay_s_t1"]floatavg_login_delay_s_t2avg_login_delay_s_t2dataSetRow["avg_login_delay_s_t2"]floatpeak_login_delay_s_t1peak_login_delay_s_t1dataSetRow["peak_login_delay_s_t1"]floatpeak_login_delay_s_t2peak_login_delay_s_t2dataSetRow["peak_login_delay_s_t2"]floatdesk_app_id_count_t1desk_app_id_count_t1dataSetRow["desk_app_id_count_t1"]decimaldesk_app_id_count_t2desk_app_id_count_t2dataSetRow["desk_app_id_count_t2"]decimaldesk_app_name_count_t1desk_app_name_count_t1dataSetRow["desk_app_name_count_t1"]decimaldesk_app_name_count_t2desk_app_name_count_t2dataSetRow["desk_app_name_count_t2"]decimaldesk_app_process_name_count_t1desk_app_process_name_count_t1dataSetRow["desk_app_process_name_count_t1"]decimaldesk_app_process_name_count_t2desk_app_process_name_count_t2dataSetRow["desk_app_process_name_count_t2"]decimaldesk_app_id_fg_count_t1desk_app_id_fg_count_t1dataSetRow["desk_app_id_fg_count_t1"]decimaldesk_app_id_fg_count_t2desk_app_id_fg_count_t2dataSetRow["desk_app_id_fg_count_t2"]decimaldesk_app_name_fg_count_t1desk_app_name_fg_count_t1dataSetRow["desk_app_name_fg_count_t1"]decimaldesk_app_name_fg_count_t2desk_app_name_fg_count_t2dataSetRow["desk_app_name_fg_count_t2"]decimaldesk_app_process_name_fg_count_t1desk_app_process_name_fg_count_t1dataSetRow["desk_app_process_name_fg_count_t1"]decimaldesk_app_process_name_fg_count_t2desk_app_process_name_fg_count_t2dataSetRow["desk_app_process_name_fg_count_t2"]decimaldesk_app_id_anr_count_t1desk_app_id_anr_count_t1dataSetRow["desk_app_id_anr_count_t1"]decimaldesk_app_id_anr_count_t2desk_app_id_anr_count_t2dataSetRow["desk_app_id_anr_count_t2"]decimaldesk_app_name_anr_count_t1desk_app_name_anr_count_t1dataSetRow["desk_app_name_anr_count_t1"]decimaldesk_app_name_anr_count_t2desk_app_name_anr_count_t2dataSetRow["desk_app_name_anr_count_t2"]decimaldesk_app_process_name_anr_count_t1desk_app_process_name_anr_count_t1dataSetRow["desk_app_process_name_anr_count_t1"]decimaldesk_app_process_name_anr_count_t2desk_app_process_name_anr_count_t2dataSetRow["desk_app_process_name_anr_count_t2"]decimalmin_launch_delay_s_t1min_launch_delay_s_t1dataSetRow["min_launch_delay_s_t1"]decimalmin_launch_delay_s_t2min_launch_delay_s_t2dataSetRow["min_launch_delay_s_t2"]decimalavg_launch_delay_s_t1avg_launch_delay_s_t1dataSetRow["avg_launch_delay_s_t1"]decimalavg_launch_delay_s_t2avg_launch_delay_s_t2dataSetRow["avg_launch_delay_s_t2"]decimalpeak_avg_launch_delay_s_t1peak_avg_launch_delay_s_t1dataSetRow["peak_avg_launch_delay_s_t1"]decimalpeak_avg_launch_delay_s_t2peak_avg_launch_delay_s_t2dataSetRow["peak_avg_launch_delay_s_t2"]decimalavg_peak_launch_delay_s_t1avg_peak_launch_delay_s_t1dataSetRow["avg_peak_launch_delay_s_t1"]decimalavg_peak_launch_delay_s_t2avg_peak_launch_delay_s_t2dataSetRow["avg_peak_launch_delay_s_t2"]decimalpeak_launch_delay_s_t1peak_launch_delay_s_t1dataSetRow["peak_launch_delay_s_t1"]decimalpeak_launch_delay_s_t2peak_launch_delay_s_t2dataSetRow["peak_launch_delay_s_t2"]decimaltotal_anr_t1total_anr_t1dataSetRow["total_anr_t1"]decimaltotal_anr_t2total_anr_t2dataSetRow["total_anr_t2"]decimaltotal_fg_time_sec_t1total_fg_time_sec_t1dataSetRow["total_fg_time_sec_t1"]floattotal_fg_time_sec_t2total_fg_time_sec_t2dataSetRow["total_fg_time_sec_t2"]floathost_count_t1host_count_t1dataSetRow["host_count_t1"]decimalhost_count_t2host_count_t2dataSetRow["host_count_t2"]decimalmachine_type_count_t1machine_type_count_t1dataSetRow["machine_type_count_t1"]decimalmachine_type_count_t2machine_type_count_t2dataSetRow["machine_type_count_t2"]decimalmachine_types_t1machine_types_t1dataSetRow["machine_types_t1"]stringmachine_types_t2machine_types_t2dataSetRow["machine_types_t2"]stringplatform_names_t1platform_names_t1dataSetRow["platform_names_t1"]stringplatform_names_t2platform_names_t2dataSetRow["platform_names_t2"]stringplatform_count_t1platform_count_t1dataSetRow["platform_count_t1"]decimalplatform_count_t2platform_count_t2dataSetRow["platform_count_t2"]decimalos_version_count_t1os_version_count_t1dataSetRow["os_version_count_t1"]decimalos_version_count_t2os_version_count_t2dataSetRow["os_version_count_t2"]decimalavg_disk_used_percentage_t1avg_disk_used_percentage_t1dataSetRow["avg_disk_used_percentage_t1"]floatavg_disk_used_percentage_t2avg_disk_used_percentage_t2dataSetRow["avg_disk_used_percentage_t2"]floatavg_disk_queue_t1avg_disk_queue_t1dataSetRow["avg_disk_queue_t1"]floatavg_disk_queue_t2avg_disk_queue_t2dataSetRow["avg_disk_queue_t2"]floatavg_disk_response_time_ms_t1avg_disk_response_time_ms_t1dataSetRow["avg_disk_response_time_ms_t1"]decimalavg_disk_response_time_ms_t2avg_disk_response_time_ms_t2dataSetRow["avg_disk_response_time_ms_t2"]decimalavg_nrt_ms_t1avg_nrt_ms_t1dataSetRow["avg_nrt_ms_t1"]floatavg_nrt_ms_t2avg_nrt_ms_t2dataSetRow["avg_nrt_ms_t2"]floatavg_session_latency_ms_t1avg_session_latency_ms_t1dataSetRow["avg_session_latency_ms_t1"]floatavg_session_latency_ms_t2avg_session_latency_ms_t2dataSetRow["avg_session_latency_ms_t2"]floattotal_inc_conn_count_t1total_inc_conn_count_t1dataSetRow["total_inc_conn_count_t1"]decimaltotal_inc_conn_count_t2total_inc_conn_count_t2dataSetRow["total_inc_conn_count_t2"]decimaltotal_nic_mb_t1total_nic_mb_t1dataSetRow["total_nic_mb_t1"]floattotal_nic_mb_t2total_nic_mb_t2dataSetRow["total_nic_mb_t2"]floatavg_nic_kbps_t1avg_nic_kbps_t1dataSetRow["avg_nic_kbps_t1"]floatavg_nic_kbps_t2avg_nic_kbps_t2dataSetRow["avg_nic_kbps_t2"]floatavg_ux_rating_t1avg_ux_rating_t1dataSetRow["avg_ux_rating_t1"]stringavg_ux_rating_t2avg_ux_rating_t2dataSetRow["avg_ux_rating_t2"]stringalways31nonenonenonenone0pt0pt0pt0ptLandscapeMasterPageautotruetrue100%DatabaseDiskUsedPurgeAlertxlstruexls_spudsofttruexlsxtruepostscripttrueodstruealert_messagealert_messagedataSetRow["alert_message"]stringmachine_countmachine_countdataSetRow["machine_count"]decimalpurge_threshold_disk_used_percentpurge_threshold_disk_used_percentdataSetRow["purge_threshold_disk_used_percent"]integerdisk_used_percentdisk_used_percentdataSetRow["disk_used_percent"]decimalpurge_threshold_dayspurge_threshold_daysdataSetRow["purge_threshold_days"]integerreport_purge_threshold_daysreport_purge_threshold_daysdataSetRow["report_purge_threshold_days"]integerrollup_daily_retention_daysrollup_daily_retention_daysdataSetRow["rollup_daily_retention_days"]integerdays_of_datadays_of_datadataSetRow["days_of_data"]decimaldata_used_per_day_gbdata_used_per_day_gbdataSetRow["data_used_per_day_gb"]decimaldata_used_per_machine_per_day_gbdata_used_per_machine_per_day_gbdataSetRow["data_used_per_machine_per_day_gb"]decimaldays_left_before_purgedays_left_before_purgedataSetRow["days_left_before_purge"]decimaldatabase_disk_allocated_size_gbdatabase_disk_allocated_size_gbdataSetRow["database_disk_allocated_size_gb"]decimaldatabase_disk_used_size_gbdatabase_disk_used_size_gbdataSetRow["database_disk_used_size_gb"]decimaldatabase_disk_avail_size_gbdatabase_disk_avail_size_gbdataSetRow["database_disk_avail_size_gb"]decimaldisk_size_required_gbdisk_size_required_gbdataSetRow["disk_size_required_gb"]decimal35%30%sans-serif35%nonenonenonenone31nonenonenonenone11leftReportTableDataRowsans-serif10ptgrayvar localTime = new Date(params["CompStartTime"].getTime() + params["GmtOffset"])
var hour = localTime.getHours();
var ampm = null
if (hour < 12) {
ampm = "AM"
if (hour == 0) {
hour = 12
}
} else {
ampm = "PM"
if (hour > 12) {
hour = hour - 12
}
}
var minute = localTime.getMinutes();
if (minute < 10) {
minute = "0" + minute;
}
var second = localTime.getSeconds();
if (second < 10) {
second = "0" + second;
}
"Compare Start Time: " + localTime.toLocaleDateString() + " " + hour + ":" + minute + ":" + second + " " + ampm + " " + params["TimeZoneDisplayString"].value;htmlcenterReportTableDataRowsans-serif10pt5ptvar grp = params["UserGroup"].value;
if (grp == "%") { grp = "All Users"; }
"User group: " + grp;htmlrightReportTableDataRowsans-serif10ptvar localTime = new Date(params["StartTime"].getTime() + params["GmtOffset"])
var hour = localTime.getHours();
var ampm = null
if (hour < 12) {
ampm = "AM"
if (hour == 0) {
hour = 12
}
} else {
ampm = "PM"
if (hour > 12) {
hour = hour - 12
}
}
var minute = localTime.getMinutes();
if (minute < 10) {
minute = "0" + minute;
}
var second = localTime.getSeconds();
if (second < 10) {
second = "0" + second;
}
"Report Start Time: " + localTime.toLocaleDateString() + " " + hour + ":" + minute + ":" + second + " " + ampm + " " + params["TimeZoneDisplayString"].value;htmlnonenonenonenone11leftReportTableDataRowsans-serif10ptgray1ptvar localTime = new Date(params["CompEndTime"].getTime() + params["GmtOffset"])
var hour = localTime.getHours();
var ampm = null
if (hour < 12) {
ampm = "AM"
if (hour == 0) {
hour = 12
}
} else {
ampm = "PM"
if (hour > 12) {
hour = hour - 12
}
}
var minute = localTime.getMinutes();
if (minute < 10) {
minute = "0" + minute;
}
var second = localTime.getSeconds();
if (second < 10) {
second = "0" + second;
}
"Compare End Time: " + localTime.toLocaleDateString() + " " + hour + ":" + minute + ":" + second + " " + ampm + " " + params["TimeZoneDisplayString"].value;htmlcenterReportTableDataRowsans-serif10pt1ptvar grp = params["MachineGroup"];
if (grp == "%") { grp = "All Machines"; }
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