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shshakyaShashikant Shakya
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Shashikant Shakya
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Fixing the data mismatch and formatting issues in Troubleshooting guides (#3050)
Co-authored-by: Shashikant Shakya <shshakya@microsoft.com>
1 parent 89a7c53 commit 5e2413c

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5 files changed

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-145
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5 files changed

+181
-145
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‎Workbooks/PostgreSQL Flexible Server/Performance/Autovacuum Monitoring/Autovacuum Monitoring.workbook

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@@ -38,6 +38,9 @@
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"type": 9,
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"content": {
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"version": "KqlParameterItem/1.0",
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"crossComponentResources": [
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"{Subscription}"
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],
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"parameters": [
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{
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"id": "09ae6e10-24ff-4eb0-964c-78c3bebf6b0b",
@@ -345,7 +348,7 @@
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}
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],
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"style": "above",
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"queryType": 0,
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"queryType": 1,
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"resourceType": "microsoft.resourcegraph/resources"
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},
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"name": "backend queries to get telemtry"
@@ -370,7 +373,8 @@
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"type": 1,
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"query": "{\"version\":\"ARMEndpoint/1.0\",\"data\":null,\"headers\":[],\"method\":\"GET\",\"path\":\"{Resource}/providers/Microsoft.Insights/diagnosticSettings?api-version=2021-05-01-preview\",\"urlParams\":[],\"batchDisabled\":false,\"transformers\":[{\"type\":\"jsonpath\",\"settings\":{\"tablePath\":\"$.value[?(@.properties.workspaceId!=null )].properties.logs[?(@.category!=null&&@.enabled==true)]\",\"columns\":[{\"path\":\"$.category\",\"columnid\":\"Category\"}]}}]}",
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"queryType": 12,
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"id": "cc0b467c-1e68-4613-b06e-462e63cc2495"
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"id": "cc0b467c-1e68-4613-b06e-462e63cc2495",
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"value": null
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},
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{
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"id": "3172fbc3-cfb6-46ca-9b1c-0f47b2f497a7",
@@ -2110,7 +2114,7 @@
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"hierarchySettings": {
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"treeType": 1,
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"groupBy": [
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"DatabaseName"
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"database"
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],
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"expandTopLevel": false
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}
@@ -2807,10 +2811,6 @@
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"visualization": "table",
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"gridSettings": {
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"formatters": [
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{
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"columnMatch": "Group",
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"formatter": 1
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},
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{
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"columnMatch": "tables autovacuumed ratio",
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"formatter": 8,
@@ -2840,14 +2840,18 @@
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"style": "decimal"
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}
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}
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},
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{
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"columnMatch": "Group",
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"formatter": 1
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}
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],
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"rowLimit": 10000,
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"filter": true,
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"hierarchySettings": {
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"treeType": 1,
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"groupBy": [
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"DatabaseName"
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"database"
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],
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"expandTopLevel": false
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}
@@ -4247,7 +4251,7 @@
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{

‎Workbooks/PostgreSQL Flexible Server/Performance/High CPU Usage/High CPU Usage.workbook

Lines changed: 33 additions & 23 deletions
Original file line numberDiff line numberDiff line change
@@ -32,7 +32,7 @@
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"content": {
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"version": "KqlParameterItem/1.0",
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"crossComponentResources": [
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"value::selected"
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"{Subscription}"
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],
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"parameters": [
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{
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],
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"style": "above",
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"queryType": 1,
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"resourceType": "microsoft.operationalinsights/workspaces"
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"resourceType": "microsoft.resourcegraph/resources"
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},
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"name": "high cpu parameters all"
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},
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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"namespace": "microsoft.dbforpostgresql/flexibleservers",
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"metric": "microsoft.dbforpostgresql/flexibleservers-database (Preview)-tup_fetched",
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"aggregation": 1,
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"splitBy": "databaseName",
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"splitBy": [
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"databaseName"
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],
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"splitBySortOrder": -1,
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"splitByLimit": 50
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},
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{
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"namespace": "microsoft.dbforpostgresql/flexibleservers",
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"metric": "microsoft.dbforpostgresql/flexibleservers-database (Preview)-tup_returned",
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"aggregation": 1,
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"splitBy": "databaseName",
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"splitBy": [
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"databaseName"
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],
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"splitBySortOrder": -1,
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"splitByLimit": 50
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}
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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"namespace": "microsoft.dbforpostgresql/flexibleservers",
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"metric": "microsoft.dbforpostgresql/flexibleservers-database (Preview)-tup_inserted",
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"aggregation": 1,
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"splitBy": "databaseName",
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"splitBy": [
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"databaseName"
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],
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"splitBySortOrder": -1,
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"splitByLimit": 50
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},
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{
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"namespace": "microsoft.dbforpostgresql/flexibleservers",
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"metric": "microsoft.dbforpostgresql/flexibleservers-database (Preview)-tup_updated",
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"aggregation": 1,
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"splitBy": "databaseName",
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"splitBy": [
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"databaseName"
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],
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"splitBySortOrder": -1,
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"splitByLimit": 50
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},
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{
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"namespace": "microsoft.dbforpostgresql/flexibleservers",
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"metric": "microsoft.dbforpostgresql/flexibleservers-database (Preview)-tup_deleted",
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"aggregation": 1,
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"splitBy": "databaseName",
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"splitBy": [
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"databaseName"
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],
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"splitBySortOrder": -1,
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"splitByLimit": 50
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}
@@ -2061,7 +2071,7 @@
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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"type": 3,
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"content": {
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"version": "KqlItem/1.0",
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"query": "let graphgrain=iff({TimeRange:grain}<15m,15m, {TimeRange:grain});\r\nlet TimeStart = todatetime('{GlobalStartTime}');\r\nlet TimeEnd = todatetime('{GlobalEndTime}');\r\nlet TopQueryIDs = \r\n{QueryStoreTable}\r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n| summarize max(MeanExecDurationMs) by QueryId\r\n| top {TopTimeConsumingQueries} by max_MeanExecDurationMs desc\r\n| project QueryId;\r\n{QueryStoreTable} \r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n| where QueryId in (TopQueryIDs)\r\n |distinct EndTime,MeanExecDurationMs,QueryId\r\n| extend EVENT_TIME_GRAPHGRAIN = bin(EndTime, 1m)\r\n//| extend EVENT_TIME_GRAPHGRAIN = bin(todatetime(End_time_t), graphgrain)\r\n| make-series maxiotime=max(MeanExecDurationMs) default=0 on EVENT_TIME_GRAPHGRAIN from TimeStart to TimeEnd step graphgrain by QueryId=strcat('QueryId ',QueryId)\r\n",
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"query": "let graphgrain=iff({TimeRange:grain}<15m,15m, {TimeRange:grain});\r\nlet TimeStart = todatetime('{GlobalStartTime}');\r\nlet TimeEnd = todatetime('{GlobalEndTime}');\r\nlet TopQueryIDs = \r\n{QueryStoreTable}\r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n| summarize max(MeanExecDurationMs) by QueryId\r\n| top {TopTimeConsumingQueries} by max_MeanExecDurationMs desc\r\n| project QueryId;\r\n{QueryStoreTable} \r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n| where QueryId in (TopQueryIDs)\r\n |distinct EndTime,MeanExecDurationMs,QueryId\r\n| extend EVENT_TIME_GRAPHGRAIN = bin(EndTime, 1m)\r\n//| extend EVENT_TIME_GRAPHGRAIN = bin(todatetime(End_time_t), graphgrain)\r\n| make-series maxiotime=max(MeanExecDurationMs) default=0 on EVENT_TIME_GRAPHGRAIN from TimeStart to TimeEnd step graphgrain by QueryId=strcat('',QueryId)\r\n",
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"size": 0,
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"aggregation": 2,
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"title": "Top {TopTimeConsumingQueries} slowest queries from query store. Data is plotted at a granularity of {ChartGrain}",
@@ -3442,7 +3452,7 @@
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"type": 3,
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"content": {
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"version": "KqlItem/1.0",
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"query": "let graphgrain=iff({TimeRange:grain}<15m,15m, {TimeRange:grain});\r\nlet TimeStart = todatetime('{GlobalStartTime}');\r\nlet TimeEnd = todatetime('{GlobalEndTime}');\r\nlet TopQueryIDs = \r\n{QueryStoreTable}\r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n| summarize max(TotalExecDurationMs) by QueryId\r\n| top {TopTimeConsumingQueries} by max_TotalExecDurationMs desc\r\n| project QueryId;\r\n{QueryStoreTable} \r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n| where QueryId in (TopQueryIDs)\r\n |distinct EndTime,TotalExecDurationMs,QueryId\r\n| extend EVENT_TIME_GRAPHGRAIN = bin(EndTime, 1m)\r\n//| extend EVENT_TIME_GRAPHGRAIN = bin(todatetime(End_time_t), graphgrain)\r\n| make-series maxiotime=max(TotalExecDurationMs) default=0 on EVENT_TIME_GRAPHGRAIN from TimeStart to TimeEnd step graphgrain by QueryId=strcat('QueryId ',QueryId)\r\n",
3455+
"query": "let graphgrain=iff({TimeRange:grain}<15m,15m, {TimeRange:grain});\r\nlet TimeStart = todatetime('{GlobalStartTime}');\r\nlet TimeEnd = todatetime('{GlobalEndTime}');\r\nlet TopQueryIDs = \r\n{QueryStoreTable}\r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n| summarize max(TotalExecDurationMs) by QueryId\r\n| top {TopTimeConsumingQueries} by max_TotalExecDurationMs desc\r\n| project QueryId;\r\n{QueryStoreTable} \r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n| where QueryId in (TopQueryIDs)\r\n |distinct EndTime,TotalExecDurationMs,QueryId\r\n| extend EVENT_TIME_GRAPHGRAIN = bin(EndTime, 1m)\r\n//| extend EVENT_TIME_GRAPHGRAIN = bin(todatetime(End_time_t), graphgrain)\r\n| make-series maxiotime=max(TotalExecDurationMs) default=0 on EVENT_TIME_GRAPHGRAIN from TimeStart to TimeEnd step graphgrain by QueryId=strcat('',QueryId)\r\n",
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"size": 0,
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"aggregation": 2,
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"title": "Top {TopTimeConsumingQueries} slow queries by total duration from query store. Data is plotted at a granularity of {ChartGrain}",
@@ -3502,7 +3512,7 @@
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"type": 3,
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"content": {
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"version": "KqlItem/1.0",
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"query": "let graphgrain=iff({TimeRange:grain}<15m,15m, {TimeRange:grain});\r\nlet TimeStart = todatetime('{GlobalStartTime}');\r\nlet TimeEnd = todatetime('{GlobalEndTime}');\r\nlet TopQueryIDs = \r\n{QueryStoreTable}\r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n| summarize max(Calls) by QueryId\r\n| top {TopTimeConsumingQueries} by max_Calls desc\r\n| project QueryId;\r\n{QueryStoreTable} \r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n | where QueryId in (TopQueryIDs)\r\n |distinct EndTime,Calls,QueryId\r\n| extend EVENT_TIME_GRAPHGRAIN = bin(EndTime, graphgrain)\r\n//| extend EVENT_TIME_GRAPHGRAIN = bin(todatetime(End_time_t), graphgrain)\r\n| make-series maxiotime=sum(Calls) default=0 on EVENT_TIME_GRAPHGRAIN from TimeStart to TimeEnd step graphgrain by QueryId=strcat('QueryId ',QueryId)\r\n",
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"query": "let graphgrain=iff({TimeRange:grain}<15m,15m, {TimeRange:grain});\r\nlet TimeStart = todatetime('{GlobalStartTime}');\r\nlet TimeEnd = todatetime('{GlobalEndTime}');\r\nlet TopQueryIDs = \r\n{QueryStoreTable}\r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n| summarize max(Calls) by QueryId\r\n| top {TopTimeConsumingQueries} by max_Calls desc\r\n| project QueryId;\r\n{QueryStoreTable} \r\n| where EndTime >= TimeStart and EndTime <= TimeEnd\r\n| where UserId != 10 // exclude azure super user \r\n | where QueryId in (TopQueryIDs)\r\n |distinct EndTime,Calls,QueryId\r\n| extend EVENT_TIME_GRAPHGRAIN = bin(EndTime, graphgrain)\r\n//| extend EVENT_TIME_GRAPHGRAIN = bin(todatetime(End_time_t), graphgrain)\r\n| make-series maxiotime=sum(Calls) default=0 on EVENT_TIME_GRAPHGRAIN from TimeStart to TimeEnd step graphgrain by QueryId=strcat('',QueryId)\r\n",
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"size": 0,
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"title": "Top {TopTimeConsumingQueries} queries by calls. Data is plotted at a granularity of {ChartGrain}",
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"noDataMessage": "No data available during the period selected",
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{
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],
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"timeContextFromParameter": "TimeRange",
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"timeContext": {
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"durationMs": 2419200000
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"durationMs": 86400000
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},
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"metrics": [
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{

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