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Adding pgbench dashboard to grafonnet
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| local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonnet'; | ||
| local annotation = g.dashboard.annotation; | ||
|
|
||
| { | ||
| run_start_timestamp: | ||
| annotation.withName('Run Start Time') | ||
| + annotation.withDatasource('$Datasource2') | ||
| + annotation.withEnable(true) | ||
| + annotation.withIconColor('#5794F2') | ||
| + annotation.withHide(false) | ||
| + annotation.target.withTags([]) | ||
| + annotation.withType('tags'), | ||
|
|
||
| sample_start_timestamp: | ||
| annotation.withName('Sample Start Time') | ||
| + annotation.withDatasource('$Datasource2') | ||
| + annotation.withEnable(false) | ||
| + annotation.withIconColor('#B877D9') | ||
| + annotation.withHide(false) | ||
| + annotation.target.withTags([]) | ||
| + annotation.withType('tags'), | ||
| } |
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| local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonnet'; | ||
|
|
||
| { | ||
| timeSeries: { | ||
| local timeSeries = g.panel.timeSeries, | ||
| local custom = timeSeries.fieldConfig.defaults.custom, | ||
| local options = timeSeries.options, | ||
|
|
||
| base(title, unit, targets, gridPos): | ||
| timeSeries.new(title) | ||
| + timeSeries.queryOptions.withTargets(targets) | ||
| + timeSeries.datasource.withType('elasticsearch') | ||
| + timeSeries.datasource.withUid('$Datasource1') | ||
| + timeSeries.standardOptions.withUnit(unit) | ||
| + timeSeries.gridPos.withX(gridPos.x) | ||
| + timeSeries.gridPos.withY(gridPos.y) | ||
| + timeSeries.gridPos.withH(gridPos.h) | ||
| + timeSeries.gridPos.withW(gridPos.w) | ||
| + custom.withDrawStyle("line") | ||
| + custom.withLineInterpolation("linear") | ||
| + custom.withBarAlignment(0) | ||
| + custom.withFillOpacity(10) | ||
| + custom.withGradientMode("none") | ||
| + custom.withSpanNulls(false) | ||
| + custom.withPointSize(5) | ||
| + custom.withSpanNulls(false) | ||
| + custom.stacking.withGroup("A") | ||
| + custom.stacking.withMode("none") | ||
| + custom.withShowPoints('never') | ||
| + timeSeries.queryOptions.withTimeFrom(null) | ||
| + timeSeries.queryOptions.withTimeShift(null) | ||
| + timeSeries.panelOptions.withTransparent(true), | ||
|
|
||
| tps_report(title, unit, targets, gridPos): | ||
| self.base(title, unit, targets, gridPos) | ||
| + custom.withLineWidth(2) | ||
| + options.tooltip.withMode('multi') | ||
| + options.legend.withShowLegend(false) | ||
| + options.legend.withDisplayMode('list') | ||
| + options.legend.withPlacement('bottom'), | ||
|
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||
|
|
||
| avg_tps(title, unit, targets, gridPos): | ||
| self.base(title, unit, targets, gridPos) | ||
| + options.legend.withShowLegend(true) | ||
| + options.legend.withDisplayMode('table') | ||
| + options.legend.withCalcs([ | ||
| "mean", | ||
| "max", | ||
| "min" | ||
| ]) | ||
| + options.legend.withPlacement('bottom') | ||
| + custom.withDrawStyle('bars') | ||
| + custom.withLineInterpolation('linear') | ||
| }, | ||
|
|
||
| heatmap: { | ||
| local heatmap = g.panel.heatmap, | ||
| local custom = heatmap.fieldConfig.defaults.custom, | ||
| local options = heatmap.options, | ||
|
|
||
| base(title, unit, targets, gridPos): | ||
| heatmap.new(title) | ||
| + heatmap.queryOptions.withTargets(targets) | ||
| + heatmap.datasource.withType('elasticsearch') | ||
| + heatmap.datasource.withUid('$Datasource1') | ||
| + heatmap.standardOptions.withUnit(unit) | ||
| + heatmap.gridPos.withX(gridPos.x) | ||
| + heatmap.gridPos.withY(gridPos.y) | ||
| + heatmap.gridPos.withH(gridPos.h) | ||
| + heatmap.gridPos.withW(gridPos.w) | ||
| + custom.scaleDistribution.withType('linear') | ||
| + custom.hideFrom.withLegend(false) | ||
| + custom.hideFrom.withTooltip(false) | ||
| + custom.hideFrom.withViz(false) | ||
| + options.withCalculate(true) | ||
| + options.yAxis.withAxisPlacement('left') | ||
| + options.yAxis.withReverse(false) | ||
| + options.yAxis.withUnit('ms') | ||
| + options.rowsFrame.withLayout('auto') | ||
| + options.color.HeatmapColorOptions.withMode('scheme') | ||
| + options.color.HeatmapColorOptions.withFill('dark-orange') | ||
| + options.color.HeatmapColorOptions.withScale('exponential') | ||
| + options.color.HeatmapColorOptions.withExponent(0.5) | ||
| + options.color.HeatmapColorOptions.withScheme('Oranges') | ||
| + options.color.HeatmapColorOptions.withSteps(128) | ||
| + options.color.HeatmapColorOptions.withReverse(false) | ||
| + options.withCellGap(2) | ||
| + options.filterValues.FilterValueRange.withLe(1e-9) | ||
| + options.tooltip.withShow(false) | ||
| + options.tooltip.withYHistogram(false) | ||
| + options.legend.withShow(true) | ||
| + options.exemplars.withColor('rgba(255,0,255,0.7)') | ||
| + options.withShowValue('never') | ||
| + heatmap.panelOptions.withTransparent(true) | ||
| }, | ||
|
|
||
| table: { | ||
| local table = g.panel.table, | ||
| local custom = table.fieldConfig.defaults.custom, | ||
| local options = table.options, | ||
|
|
||
| base(title, targets, gridPos): | ||
| table.new(title) | ||
| + table.queryOptions.withTargets(targets) | ||
| + table.datasource.withType('elasticsearch') | ||
| + table.datasource.withUid('$Datasource1') | ||
| + table.gridPos.withX(gridPos.x) | ||
| + table.gridPos.withY(gridPos.y) | ||
| + table.gridPos.withH(gridPos.h) | ||
| + table.gridPos.withW(gridPos.w) | ||
| + options.withShowHeader(true) | ||
| + options.footer.TableFooterOptions.withShow(false) | ||
| + options.footer.TableFooterOptions.withReducer('sum') | ||
| + options.footer.TableFooterOptions.withCountRows(false) | ||
| + custom.withAlign('auto') | ||
| + custom.withInspect(false) | ||
| + table.panelOptions.withTransparent(true) | ||
| + table.queryOptions.withTimeFrom(null) | ||
| + table.queryOptions.withTimeShift(null) | ||
| + table.standardOptions.color.withMode('thresholds') | ||
| + table.queryOptions.withTransformations([ | ||
| { | ||
| "id": "seriesToColumns", | ||
| "options": { | ||
| "reducers": [] | ||
| } | ||
| } | ||
| ]) | ||
| + table.standardOptions.withOverrides([ | ||
| { | ||
| "matcher": { | ||
| "id": "byName", | ||
| "options": "Average latency_ms" | ||
| }, | ||
| "properties": [ | ||
| { | ||
| "id": "displayName", | ||
| "value": "Avg latency" | ||
| }, | ||
| { | ||
| "id": "decimals", | ||
| "value": "2" | ||
| }, | ||
| { | ||
| "id": "custom.align", | ||
| "value": null | ||
| } | ||
| ] | ||
| }, | ||
| { | ||
| "matcher": { | ||
| "id": "byName", | ||
| "options": "Average tps" | ||
| }, | ||
| "properties": [ | ||
| { | ||
| "id": "displayName", | ||
| "value": "Avg TPS" | ||
| }, | ||
| { | ||
| "id": "decimals", | ||
| "value": "2" | ||
| }, | ||
| { | ||
| "id": "custom.align", | ||
| "value": null | ||
| } | ||
| ] | ||
| } | ||
| ]) | ||
| } | ||
| } |
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| @@ -0,0 +1,104 @@ | ||
| local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonnet'; | ||
| local variables = import './variables.libsonnet'; | ||
| local elasticsearch = g.query.elasticsearch; | ||
|
|
||
| { | ||
| tps_report: { | ||
| query(): | ||
| elasticsearch.withAlias(null) | ||
| + elasticsearch.withBucketAggs([ | ||
| elasticsearch.bucketAggs.DateHistogram.withField("timestamp") | ||
| + elasticsearch.bucketAggs.DateHistogram.withId("2") | ||
| + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount(0) | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone("utc") | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges(null), | ||
| ]) | ||
| + elasticsearch.withMetrics([ | ||
| elasticsearch.metrics.MetricAggregationWithSettings.Sum.withField("tps") | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.Sum.withId("1") | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.Sum.withType('sum') | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.CumulativeSum.withPipelineAgg('select metric') | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.BucketScript.pipelineVariables.withName('var1') | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.BucketScript.pipelineVariables.withPipelineAgg('select metric') | ||
| ]) | ||
| + elasticsearch.withQuery('(user = $user) AND (uuid = $uuid)') | ||
| + elasticsearch.withTimeField('timestamp') | ||
| }, | ||
|
|
||
| avg_tps: { | ||
| query(): | ||
| elasticsearch.withAlias(null) | ||
| + elasticsearch.withBucketAggs([ | ||
| elasticsearch.bucketAggs.Terms.withField("description.keyword") | ||
| + elasticsearch.bucketAggs.Terms.withId("6") | ||
| + elasticsearch.bucketAggs.Terms.withType('terms') | ||
| + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') | ||
| + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') | ||
| + elasticsearch.bucketAggs.Terms.settings.withMinDocCount(1) | ||
| + elasticsearch.bucketAggs.Terms.settings.withSize("10"), | ||
| elasticsearch.bucketAggs.DateHistogram.withField("timestamp") | ||
| + elasticsearch.bucketAggs.DateHistogram.withId("4") | ||
| + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount(0) | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone("utc") | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges(null) | ||
| ]) | ||
| + elasticsearch.withMetrics([ | ||
| elasticsearch.metrics.MetricAggregationWithSettings.Average.withField("tps_incl_con_est") | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId("1") | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.CumulativeSum.withPipelineAgg('select metric') | ||
| ]) | ||
| + elasticsearch.withQuery('(uuid.keyword=$uuid) AND (user.keyword=$user)') | ||
| + elasticsearch.withTimeField('timestamp'), | ||
| }, | ||
|
|
||
| latency_report: { | ||
| query(): | ||
| elasticsearch.withAlias(null) | ||
| + elasticsearch.withBucketAggs([ | ||
| elasticsearch.bucketAggs.DateHistogram.withField("timestamp") | ||
| + elasticsearch.bucketAggs.DateHistogram.withId("2") | ||
| + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount(0) | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone("utc") | ||
| + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges(null) | ||
| ]) | ||
| + elasticsearch.withMetrics([ | ||
| elasticsearch.metrics.MetricAggregationWithSettings.Average.withField("latency_ms") | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId("1") | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') | ||
| ]) | ||
| + elasticsearch.withQuery('(uuid.keyword=$uuid) AND (user.keyword=$user)') | ||
| + elasticsearch.withTimeField('timestamp'), | ||
| }, | ||
|
|
||
| results: { | ||
| query(): | ||
| elasticsearch.withAlias(null) | ||
| + elasticsearch.withBucketAggs([ | ||
| elasticsearch.bucketAggs.Terms.withField("user.keyword") | ||
| + elasticsearch.bucketAggs.Terms.withId("1") | ||
| + elasticsearch.bucketAggs.Terms.withType('terms') | ||
| + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') | ||
| + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') | ||
| + elasticsearch.bucketAggs.Terms.settings.withMinDocCount(1) | ||
| + elasticsearch.bucketAggs.Terms.settings.withSize("10"), | ||
| ]) | ||
| + elasticsearch.withMetrics([ | ||
| elasticsearch.metrics.MetricAggregationWithSettings.Average.withField("latency_ms") | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId("4") | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg'), | ||
| elasticsearch.metrics.MetricAggregationWithSettings.Average.withField("tps") | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId("20") | ||
| + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') | ||
|
|
||
| ]) | ||
| + elasticsearch.withQuery('(uuid.keyword=$uuid) AND (user.keyword=$user)') | ||
| + elasticsearch.withTimeField('timestamp'), | ||
| } | ||
| } |
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| @@ -0,0 +1,30 @@ | ||
| local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonnet'; | ||
| local var = g.dashboard.variable; | ||
|
|
||
| { | ||
| Datasource1: | ||
| var.datasource.new('Datasource1','elasticsearch') | ||
| + var.datasource.withRegex("") | ||
| + var.query.generalOptions.withLabel('pgbench-results datasource') | ||
| + var.query.withRefresh(1), | ||
|
|
||
| Datasource2: | ||
| var.datasource.new('Datasource2','elasticsearch') | ||
| + var.datasource.withRegex("") | ||
| + var.query.generalOptions.withLabel('pgbench-summary datasource') | ||
| + var.query.withRefresh(1), | ||
|
|
||
| uuid: | ||
| var.query.new('uuid','{"find": "terms", "field": "uuid.keyword"}') | ||
| + var.query.withDatasourceFromVariable(self.Datasource1) | ||
| + var.query.selectionOptions.withMulti(false) | ||
| + var.query.selectionOptions.withIncludeAll(true) | ||
| + var.query.withRefresh(2), | ||
|
|
||
| user: | ||
| var.query.new('user','{"find": "terms", "field": "user.keyword"}') | ||
| + var.query.withDatasourceFromVariable(self.Datasource1) | ||
| + var.query.selectionOptions.withMulti(false) | ||
| + var.query.selectionOptions.withIncludeAll(true) | ||
| + var.query.withRefresh(2), | ||
| } |
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| @@ -0,0 +1,32 @@ | ||
| local annotation = import '../../assets/pgbench-dashboard/annotation.libsonnet'; | ||
| local panels = import '../../assets/pgbench-dashboard/panels.libsonnet'; | ||
| local queries = import '../../assets/pgbench-dashboard/queries.libsonnet'; | ||
| local variables = import '../../assets/pgbench-dashboard/variables.libsonnet'; | ||
| local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonnet'; | ||
|
|
||
| g.dashboard.new('Pgbench') | ||
| + g.dashboard.time.withFrom('now/y') | ||
| + g.dashboard.time.withTo('now') | ||
| + g.dashboard.withTimezone('utc') | ||
| + g.dashboard.timepicker.withRefreshIntervals(['5s', '10s', '30s', '1m', '5m', '15m', '30m', '1h', '2h', '1d']) | ||
| + g.dashboard.timepicker.withTimeOptions(['5m', '15m', '1h', '6h', '12h', '24h', '2d', '7d', '30d']) | ||
| + g.dashboard.withRefresh('') | ||
| + g.dashboard.withEditable(true) | ||
| + g.dashboard.graphTooltip.withSharedCrosshair() | ||
| + g.dashboard.withVariables([ | ||
| variables.Datasource1, | ||
| variables.Datasource2, | ||
| variables.uuid, | ||
| variables.user, | ||
| ]) | ||
| + g.dashboard.withAnnotations([ | ||
| annotation.run_start_timestamp, | ||
| annotation.sample_start_timestamp, | ||
| ]) | ||
| + g.dashboard.withPanels([ | ||
| panels.timeSeries.tps_report('TPS Report', 'ops', queries.tps_report.query(), { x: 0, y: 0, w: 12, h: 9 }), | ||
| panels.timeSeries.avg_tps('Overall Average TPS Per Run', 'ops', queries.avg_tps.query(), { x: 12, y: 0, w: 12, h: 9 }), | ||
| panels.heatmap.base('Latency Report', 'ms', queries.latency_report.query(), { x: 0, y: 9, w: 12, h: 9 }), | ||
| panels.table.base('Result Summary', queries.results.query(), { x: 12, y: 9, w: 12, h: 9 }), | ||
|
|
||
| ]) |