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grafana/docker/blocks/mssql_tests/dashboard.json

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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
{
"__inputs": [
{
"name": "DS_MSSQL_TEST",
"label": "MSSQL Test",
"description": "",
"type": "datasource",
"pluginId": "mssql",
"pluginName": "Microsoft SQL Server"
}
],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "5.0.0"
},
{
"type": "panel",
"id": "graph",
"name": "Graph",
"version": "5.0.0"
},
{
"type": "datasource",
"id": "mssql",
"name": "Microsoft SQL Server",
"version": "1.0.0"
},
{
"type": "panel",
"id": "table",
"name": "Table",
"version": "5.0.0"
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
},
{
"datasource": "${DS_MSSQL_TEST}",
"enable": false,
"hide": false,
"iconColor": "#6ed0e0",
"limit": 100,
"name": "Deploys",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawQuery": "SELECT\n $__time(time_sec),\n description as [text],\n tags\n FROM [event]\n WHERE $__unixEpochFilter(time_sec) AND tags='deploy'\n ORDER BY 1 ASC\n ",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"showIn": 0,
"tags": [],
"type": "tags"
},
{
"datasource": "${DS_MSSQL_TEST}",
"enable": false,
"hide": false,
"iconColor": "rgba(255, 96, 96, 1)",
"limit": 100,
"name": "Tickets",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawQuery": "SELECT\n $__time(time_sec),\n description as [text],\n tags\n FROM [event]\n WHERE $__unixEpochFilter(time_sec) AND tags='ticket'\n ORDER BY 1 ASC\n ",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"showIn": 0,
"tags": [],
"type": "tags"
docker: update test dashboard for mssql tests
2018-03-19 13:07:26 +01:00
},
{
"datasource": "${DS_MSSQL_TEST}",
"enable": false,
"hide": false,
"iconColor": "#7eb26d",
"limit": 100,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"name": "Metric Values timeEpoch macro",
"rawQuery": "SELECT \n $__timeEpoch(time), \n measurement as text, \n '' as tags\nFROM\n metric_values \nWHERE\n $__timeFilter(time)\nORDER BY 1",
"showIn": 0,
"tags": [],
"type": "tags"
},
{
"datasource": "${DS_MSSQL_TEST}",
"enable": false,
"hide": false,
"iconColor": "#1f78c1",
"limit": 100,
"name": "Metric Values native time",
"rawQuery": "SELECT \n time, \n measurement as text, \n '' as tags\nFROM\n metric_values \nWHERE\n $__timeFilter(time)\nORDER BY 1",
docker: update test dashboard for mssql tests
2018-03-19 13:07:26 +01:00
"showIn": 0,
"tags": [],
"type": "tags"
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
}
]
},
"editable": true,
"gnetId": null,
"graphTooltip": 0,
"id": null,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"iteration": 1521715844826,
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"links": [],
"panels": [
{
"columns": [],
"datasource": "${DS_MSSQL_TEST}",
"fontSize": "100%",
"gridPos": {
"h": 4,
"w": 24,
"x": 0,
"y": 0
},
"id": 2,
"links": [],
"pageSize": null,
"scroll": true,
"showHeader": true,
"sort": {
"col": 0,
"desc": true
},
"styles": [
{
"alias": "",
"colorMode": null,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"decimals": 2,
"pattern": "/.*/",
"thresholds": [],
"type": "string",
"unit": "short"
}
],
"targets": [
{
"alias": "",
"format": "table",
"rawSql": "SELECT * from mssql_types",
"refId": "A"
}
],
"title": "Data types",
"transform": "table",
"type": "table"
},
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
{
"columns": [],
"datasource": "${DS_MSSQL_TEST}",
"fontSize": "100%",
"gridPos": {
"h": 3,
"w": 6,
"x": 0,
"y": 4
},
"id": 32,
"links": [],
"pageSize": null,
"scroll": true,
"showHeader": true,
"sort": {
"col": 0,
"desc": true
},
"styles": [
{
"alias": "Time",
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"pattern": "time",
"type": "date"
},
{
"alias": "",
"colorMode": null,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"decimals": 2,
"pattern": "/.*/",
"thresholds": [],
"type": "number",
"unit": "short"
}
],
"targets": [
{
"alias": "",
"format": "table",
"rawSql": "SELECT cast(null as bigint) as time",
"refId": "A",
"target": ""
}
],
"title": "cast(null as bigint) as time",
"transform": "table",
"type": "table"
},
{
"columns": [],
"datasource": "${DS_MSSQL_TEST}",
"fontSize": "100%",
"gridPos": {
"h": 3,
"w": 6,
"x": 6,
"y": 4
},
"id": 33,
"links": [],
"pageSize": null,
"scroll": true,
"showHeader": true,
"sort": {
"col": 0,
"desc": true
},
"styles": [
{
"alias": "Time",
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"pattern": "time",
"type": "date"
},
{
"alias": "",
"colorMode": null,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"decimals": 2,
"pattern": "/.*/",
"thresholds": [],
"type": "number",
"unit": "short"
}
],
"targets": [
{
"alias": "",
"format": "table",
"rawSql": "SELECT cast(null as datetime) as time",
"refId": "A",
"target": ""
}
],
"title": "cast(null as datetime) as time",
"transform": "table",
"type": "table"
},
{
"columns": [],
"datasource": "${DS_MSSQL_TEST}",
"fontSize": "100%",
"gridPos": {
"h": 3,
"w": 6,
"x": 12,
"y": 4
},
"id": 34,
"links": [],
"pageSize": null,
"scroll": true,
"showHeader": true,
"sort": {
"col": 0,
"desc": true
},
"styles": [
{
"alias": "Time",
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"pattern": "time",
"type": "date"
},
{
"alias": "",
"colorMode": null,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"decimals": 2,
"pattern": "/.*/",
"thresholds": [],
"type": "number",
"unit": "short"
}
],
"targets": [
{
"alias": "",
"format": "table",
"rawSql": "SELECT GETDATE() as time",
"refId": "A",
"target": ""
}
],
"title": "GETDATE() as time",
"transform": "table",
"type": "table"
},
{
"columns": [],
"datasource": "${DS_MSSQL_TEST}",
"fontSize": "100%",
"gridPos": {
"h": 3,
"w": 6,
"x": 18,
"y": 4
},
"id": 35,
"links": [],
"pageSize": null,
"scroll": true,
"showHeader": true,
"sort": {
"col": 0,
"desc": true
},
"styles": [
{
"alias": "Time",
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"pattern": "time",
"type": "date"
},
{
"alias": "",
"colorMode": null,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"decimals": 2,
"pattern": "/.*/",
"thresholds": [],
"type": "number",
"unit": "short"
}
],
"targets": [
{
"alias": "",
"format": "table",
"rawSql": "SELECT GETUTCDATE() as time",
"refId": "A",
"target": ""
}
],
"title": "GETUTCDATE() as time",
"transform": "table",
"type": "table"
},
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_MSSQL_TEST}",
"fill": 2,
"gridPos": {
"h": 9,
"w": 8,
"x": 0,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"y": 7
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
"id": 7,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 3,
"points": true,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": true,
"targets": [
{
"alias": "",
"format": "time_series",
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
"rawSql": "SELECT $__timeGroup(time, '5m') AS time, avg(value) as value FROM metric WHERE $__timeFilter(time) GROUP BY $__timeGroup(time, '5m') ORDER BY 1",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
"title": "timeGroup macro 5m without fill",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
"min": "0",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_MSSQL_TEST}",
"fill": 2,
"gridPos": {
"h": 9,
"w": 8,
"x": 8,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"y": 7
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
"id": 9,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "null as zero",
"percentage": false,
"pointradius": 3,
"points": true,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": true,
"targets": [
{
"alias": "",
"format": "time_series",
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
"rawSql": "SELECT $__timeGroup(time, '5m', NULL) AS time, avg(value) as value FROM metric WHERE $__timeFilter(time) GROUP BY $__timeGroup(time, '5m') ORDER BY 1",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
"title": "timeGroup macro 5m with fill(NULL) and null as zero",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
"min": "0",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_MSSQL_TEST}",
"fill": 2,
"gridPos": {
"h": 9,
"w": 8,
"x": 16,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"y": 7
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
"id": 10,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 3,
"points": true,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": true,
"targets": [
{
"alias": "",
"format": "time_series",
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
"rawSql": "SELECT $__timeGroup(time, '5m', 10.0) AS time, avg(value) as value FROM metric WHERE $__timeFilter(time) GROUP BY $__timeGroup(time, '5m') ORDER BY 1",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
"title": "timeGroup macro 5m with fill(10.0)",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
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"label": null,
"logBase": 1,
"max": null,
mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
"min": "0",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"show": true
},
{
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"max": null,
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"show": true
}
]
},
{
"aliasColors": {},
"bars": true,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_MSSQL_TEST}",
"fill": 2,
"gridPos": {
"h": 9,
"w": 8,
"x": 0,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"y": 16
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
"id": 16,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": false,
"linewidth": 2,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 3,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": true,
"targets": [
{
"alias": "",
"format": "time_series",
"rawSql": "SELECT $__timeGroup(time, '$summarize') AS time, avg(value) as value FROM metric WHERE $__timeFilter(time) GROUP BY $__timeGroup(time, '$summarize') ORDER BY 1",
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Metrics - timeGroup macro $summarize without fill",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
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"show": true,
"values": []
},
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{
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"show": true
},
{
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"show": true
}
]
},
{
"aliasColors": {},
"bars": true,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_MSSQL_TEST}",
"fill": 2,
"gridPos": {
"h": 9,
"w": 8,
"x": 8,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"y": 16
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
"id": 12,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": false,
"linewidth": 2,
"links": [],
"nullPointMode": "null as zero",
"percentage": false,
"pointradius": 3,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": true,
"targets": [
{
"alias": "",
"format": "time_series",
"rawSql": "SELECT $__timeGroup(time, '$summarize', NULL) AS time, sum(value) as value FROM metric WHERE $__timeFilter(time) GROUP BY $__timeGroup(time, '$summarize') ORDER BY 1",
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Metrics - timeGroup macro $summarize with fill(NULL)",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
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"show": true,
"values": []
},
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{
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"show": true
},
{
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"show": true
}
]
},
{
"aliasColors": {},
"bars": true,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_MSSQL_TEST}",
"fill": 2,
"gridPos": {
"h": 9,
"w": 8,
"x": 16,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"y": 16
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
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{
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}
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},
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: update test dashboard
2018-03-19 11:08:53 +01:00
"refId": "A"
mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
},
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
"refId": "B"
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
}
],
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},
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: update test dashboard
2018-03-19 11:08:53 +01:00
},
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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{
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"yaxis": 1
}
],
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: update test dashboard
2018-03-19 11:08:53 +01:00
"refId": "A"
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
},
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"refId": "B"
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
}
],
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},
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: update test dashboard
2018-03-19 11:08:53 +01:00
},
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
},
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"format": "time_series",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
"refId": "B"
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
}
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
"refId": "B"
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawSql": "SELECT $__timeEpoch(time), measurement + ' - value one' as metric, valueOne FROM metric_values WHERE $__timeFilter(time) AND ($metric = 'ALL' OR measurement = $metric) ORDER BY 1",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"refId": "A"
mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
},
{
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"format": "time_series",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawSql": "SELECT $__timeEpoch(time), measurement + ' - value two' as metric, valueTwo FROM metric_values WHERE $__timeFilter(time) AND ($metric = 'ALL' OR measurement = $metric) ORDER BY 1",
mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
"refId": "B"
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
}
],
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawSql": "DECLARE\n @from int = $__unixEpochFrom(), \n @to int = $__unixEpochTo(), \n @interval nvarchar(50) = '$summarize', \n @metric nvarchar(200) = $metric\n \nEXEC dbo.sp_test_epoch @from, @to, @interval, @metric",
mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: add integration test to verify stored procedure usage
2018-03-19 19:56:34 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"refId": "A"
mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
},
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
"refId": "B"
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
}
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"refId": "A"
mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
"refId": "B"
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
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docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
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{
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"format": "time_series",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawSql": "SELECT $__timeEpoch(time), measurement + ' - value one' as metric, valueOne FROM metric_values \nWHERE $__timeFilter(time) AND ($metric = 'ALL' OR measurement = $metric) ORDER BY 1",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"refId": "A"
mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
},
{
"alias": "",
"format": "time_series",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawSql": "SELECT $__timeEpoch(time), measurement + ' - value two' as metric, valueTwo FROM metric_values \nWHERE $__timeFilter(time) AND ($metric = 'ALL' OR measurement = $metric) ORDER BY 1",
mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
"refId": "B"
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Multiple series with metric column - histogram stacked",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": 20,
"mode": "histogram",
"name": null,
"show": true,
"values": [
"current"
]
},
"yaxes": [
{
"decimals": null,
"format": "short",
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"show": true
},
{
"format": "short",
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"show": true
}
]
},
{
"aliasColors": {},
"bars": true,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_MSSQL_TEST}",
"fill": 1,
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"y": 81
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
"id": 26,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": true,
"rightSide": true,
"show": false,
"total": true,
"values": true
},
"lines": false,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": true,
"steppedLine": false,
"targets": [
{
"alias": "",
"format": "time_series",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawSql": "SELECT $__timeEpoch(time), valueOne, valueTwo FROM metric_values \nWHERE $__timeFilter(time) AND ($metric = 'ALL' OR measurement = $metric) ORDER BY 1",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Multiple series without metric column - histogram stacked",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": 20,
"mode": "histogram",
"name": null,
"show": true,
"values": [
"total"
]
},
"yaxes": [
{
"format": "short",
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"min": "0",
"show": true
},
{
"format": "short",
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"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": true,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_MSSQL_TEST}",
"fill": 1,
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"y": 89
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
"id": 23,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": true,
"rightSide": true,
"show": false,
"total": true,
"values": true
},
"lines": false,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": true,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": true,
"steppedLine": false,
"targets": [
{
"alias": "",
"format": "time_series",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawSql": "SELECT $__timeEpoch(time), measurement + ' - value one' as metric, valueOne FROM metric_values\nWHERE $__timeFilter(time) AND ($metric = 'ALL' OR measurement = $metric) ORDER BY 1",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"refId": "A"
mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
},
{
"alias": "",
"format": "time_series",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawSql": "SELECT $__timeEpoch(time), measurement + ' - value two' as metric, valueTwo FROM metric_values \nWHERE $__timeFilter(time) AND ($metric = 'ALL' OR measurement = $metric) ORDER BY 1",
mssql: remove dynamic construction of metric column and other columns This seems like a niche feature which can be solved by defining multiple queries. In the future we'll probably add support for defining series name by alias field similar to how other datasources have solved that, e.g. prometheus.
2018-03-19 17:14:01 +01:00
"refId": "B"
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Multiple series with metric column - histogram stacked percent",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": 20,
"mode": "histogram",
"name": null,
"show": true,
"values": [
"current"
]
},
"yaxes": [
{
"decimals": null,
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"min": "0",
"show": true
},
{
"format": "short",
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"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": true,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_MSSQL_TEST}",
"fill": 1,
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"y": 89
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
"id": 24,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": true,
"rightSide": true,
"show": false,
"total": true,
"values": true
},
"lines": false,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": true,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": true,
"steppedLine": false,
"targets": [
{
"alias": "",
"format": "time_series",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"rawSql": "SELECT $__timeEpoch(time), valueOne, valueTwo FROM metric_values \nWHERE $__timeFilter(time) AND ($metric = 'ALL' OR measurement = $metric) ORDER BY 1",
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Multiple series without metric column - histogram stacked percent",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": 20,
"mode": "histogram",
"name": null,
"show": true,
"values": [
"total"
]
},
"yaxes": [
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": "0",
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
}
],
"refresh": false,
"schemaVersion": 16,
"style": "dark",
"tags": [],
"templating": {
"list": [
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
{
"allValue": "'ALL'",
"current": {},
"datasource": "${DS_MSSQL_TEST}",
"hide": 0,
"includeAll": true,
"label": "Metric",
"multi": false,
"name": "metric",
"options": [],
"query": "SELECT DISTINCT measurement FROM metric_values",
"refresh": 1,
"regex": "",
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
{
"auto": false,
"auto_count": 30,
"auto_min": "10s",
"current": {
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
"text": "10m",
"value": "10m"
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
"hide": 0,
"label": "Interval",
"name": "summarize",
"options": [
{
"selected": false,
"text": "1s",
"value": "1s"
},
{
"selected": false,
"text": "10s",
"value": "10s"
},
{
"selected": false,
"text": "30s",
"value": "30s"
},
{
"selected": false,
"text": "1m",
"value": "1m"
},
{
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
"selected": false,
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"text": "5m",
"value": "5m"
},
{
mssql: update test dashboard
2018-03-19 11:08:53 +01:00
"selected": true,
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
"text": "10m",
"value": "10m"
}
],
"query": "1s,10s,30s,1m,5m,10m",
"refresh": 2,
"type": "interval"
}
]
},
"time": {
"from": "2018-03-15T12:30:00.000Z",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"to": "2018-03-15T13:55:01.000Z"
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
},
"timepicker": {
"refresh_intervals": [
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
"7d",
"30d"
]
},
"timezone": "",
"title": "Microsoft SQL Server Data Source Test",
"uid": "GlAqcPgmz",
mssql: fix precision for the time column in table/annotation query mode Use the ConvertSqlTimeColumnToEpochMs function to convert any native datetime data type or epoch time (millisecond precision). Additional tests and update of existing due to timezone issues running MSSQL on UTC and dev environment on non-utc. Update stored procedures test to handle more parameters. Update test dashboard.
2018-03-22 15:23:12 +01:00
"version": 57
docker: add test dashboard for mssql tests based on test data generated by integration test
2018-03-16 14:44:26 +01:00
}
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