From 4be56cde0dab1ab2572b0f4272524c675d78da47 Mon Sep 17 00:00:00 2001 From: Kyle Brandt Date: Tue, 30 Jun 2020 16:26:46 -0400 Subject: [PATCH] Azure: Multiple dimension support for Azure Monitor Service (#25947) Azure Monitor (metrics) support multiple dimensions instead of just one. Co-authored-by: Ryan McKinley --- .../azuremonitor/azuremonitor-datasource.go | 68 ++++++---- .../azuremonitor-datasource_test.go | 117 +++++++++++------ .../testdata/applicationinsights/bigger.json | 1 + ...re-monitor-response-single-dimension.json} | 0 ...zure-monitor-response-multi-dimension.json | 119 ++++++++++++++++++ pkg/tsdb/azuremonitor/types.go | 18 ++- .../azure_monitor/azure_monitor_datasource.ts | 12 +- .../datasource.ts | 5 + .../partials/query.editor.html | 97 +++++++++----- .../query_ctrl.ts | 99 ++++++++------- .../grafana-azure-monitor-datasource/types.ts | 9 +- 11 files changed, 403 insertions(+), 142 deletions(-) create mode 100644 pkg/tsdb/azuremonitor/testdata/applicationinsights/bigger.json rename pkg/tsdb/azuremonitor/testdata/azuremonitor/{6-azure-monitor-response-multi-dimension.json => 6-azure-monitor-response-single-dimension.json} (100%) create mode 100644 pkg/tsdb/azuremonitor/testdata/azuremonitor/7-azure-monitor-response-multi-dimension.json diff --git a/pkg/tsdb/azuremonitor/azuremonitor-datasource.go b/pkg/tsdb/azuremonitor/azuremonitor-datasource.go index 0382b3d72da..02ccefa77d6 100644 --- a/pkg/tsdb/azuremonitor/azuremonitor-datasource.go +++ b/pkg/tsdb/azuremonitor/azuremonitor-datasource.go @@ -9,6 +9,7 @@ import ( "net/http" "net/url" "path" + "sort" "strings" "time" @@ -21,7 +22,6 @@ import ( opentracing "github.com/opentracing/opentracing-go" "golang.org/x/net/context/ctxhttp" - "github.com/grafana/grafana/pkg/components/simplejson" "github.com/grafana/grafana/pkg/tsdb" ) @@ -57,7 +57,6 @@ func (e *AzureMonitorDatasource) executeTimeSeriesQuery(ctx context.Context, ori if err != nil { return nil, err } - // azlog.Debug("AzureMonitor", "Response", resp) err = e.parseResponse(queryRes, resp, query) if err != nil { @@ -130,10 +129,25 @@ func (e *AzureMonitorDatasource) buildQueries(queries []*tsdb.Query, timeRange * params.Add("metricnames", azJSONModel.MetricName) // MetricName or MetricNames ? params.Add("metricnamespace", azJSONModel.MetricNamespace) + // old model dimension := strings.TrimSpace(azJSONModel.Dimension) dimensionFilter := strings.TrimSpace(azJSONModel.DimensionFilter) - if dimension != "" && dimensionFilter != "" && dimension != "None" { - params.Add("$filter", fmt.Sprintf("%s eq '%s'", dimension, dimensionFilter)) + + dimSB := strings.Builder{} + + if dimension != "" && dimensionFilter != "" && dimension != "None" && len(azJSONModel.DimensionsFilters) == 0 { + dimSB.WriteString(fmt.Sprintf("%s eq '%s'", dimension, dimensionFilter)) + } else { + for i, filter := range azJSONModel.DimensionsFilters { + dimSB.WriteString(filter.String()) + if i != len(azJSONModel.DimensionsFilters)-1 { + dimSB.WriteString(" and ") + } + } + } + + if dimSB.String() != "" { + params.Add("$filter", dimSB.String()) params.Add("top", azJSONModel.Top) } @@ -157,7 +171,7 @@ func (e *AzureMonitorDatasource) buildQueries(queries []*tsdb.Query, timeRange * } func (e *AzureMonitorDatasource) executeQuery(ctx context.Context, query *AzureMonitorQuery, queries []*tsdb.Query, timeRange *tsdb.TimeRange) (*tsdb.QueryResult, AzureMonitorResponse, error) { - queryResult := &tsdb.QueryResult{Meta: simplejson.New(), RefId: query.RefID} + queryResult := &tsdb.QueryResult{RefId: query.RefID} req, err := e.createRequest(ctx, e.dsInfo) if err != nil { @@ -167,7 +181,6 @@ func (e *AzureMonitorDatasource) executeQuery(ctx context.Context, query *AzureM req.URL.Path = path.Join(req.URL.Path, query.URL) req.URL.RawQuery = query.Params.Encode() - queryResult.Meta.Set("rawQuery", req.URL.RawQuery) span, ctx := opentracing.StartSpanFromContext(ctx, "azuremonitor query") span.SetTag("target", query.Target) @@ -270,20 +283,23 @@ func (e *AzureMonitorDatasource) parseResponse(queryRes *tsdb.QueryResult, amr A frames := data.Frames{} for _, series := range amr.Value[0].Timeseries { - metadataName := "" - metadataValue := "" - if len(series.Metadatavalues) > 0 { - metadataName = series.Metadatavalues[0].Name.LocalizedValue - metadataValue = series.Metadatavalues[0].Value + labels := data.Labels{} + for _, md := range series.Metadatavalues { + labels[md.Name.LocalizedValue] = md.Value } - metricName := formatAzureMonitorLegendKey(query.Alias, query.UrlComponents["resourceName"], amr.Value[0].Name.LocalizedValue, metadataName, metadataValue, amr.Namespace, amr.Value[0].ID) frame := data.NewFrameOfFieldTypes("", len(series.Data), data.FieldTypeTime, data.FieldTypeFloat64) frame.RefID = query.RefID - frame.Fields[1].Name = metricName - frame.Fields[1].SetConfig(&data.FieldConfig{ + dataField := frame.Fields[1] + dataField.Name = amr.Value[0].Name.LocalizedValue + dataField.Labels = labels + dataField.SetConfig(&data.FieldConfig{ Unit: amr.Value[0].Unit, }) + if query.Alias != "" { + dataField.Config.DisplayName = formatAzureMonitorLegendKey(query.Alias, query.UrlComponents["resourceName"], + amr.Value[0].Name.LocalizedValue, "", "", amr.Namespace, amr.Value[0].ID, labels) + } requestedAgg := query.Params.Get("aggregation") @@ -317,14 +333,7 @@ func (e *AzureMonitorDatasource) parseResponse(queryRes *tsdb.QueryResult, amr A // formatAzureMonitorLegendKey builds the legend key or timeseries name // Alias patterns like {{resourcename}} are replaced with the appropriate data values. -func formatAzureMonitorLegendKey(alias string, resourceName string, metricName string, metadataName string, metadataValue string, namespace string, seriesID string) string { - if alias == "" { - if len(metadataName) > 0 { - return fmt.Sprintf("%s{%s=%s}.%s", resourceName, metadataName, metadataValue, metricName) - } - return fmt.Sprintf("%s.%s", resourceName, metricName) - } - +func formatAzureMonitorLegendKey(alias string, resourceName string, metricName string, metadataName string, metadataValue string, namespace string, seriesID string, labels data.Labels) string { startIndex := strings.Index(seriesID, "/resourceGroups/") + 16 endIndex := strings.Index(seriesID, "/providers") resourceGroup := seriesID[startIndex:endIndex] @@ -350,14 +359,25 @@ func formatAzureMonitorLegendKey(alias string, resourceName string, metricName s return []byte(metricName) } + keys := make([]string, 0, len(labels)) + if metaPartName == "dimensionname" || metaPartName == "dimensionvalue" { + for k := range labels { + keys = append(keys, k) + } + keys = sort.StringSlice(keys) + } + if metaPartName == "dimensionname" { - return []byte(metadataName) + return []byte(keys[0]) } if metaPartName == "dimensionvalue" { - return []byte(metadataValue) + return []byte(labels[keys[0]]) } + if v, ok := labels[metaPartName]; ok { + return []byte(v) + } return in }) diff --git a/pkg/tsdb/azuremonitor/azuremonitor-datasource_test.go b/pkg/tsdb/azuremonitor/azuremonitor-datasource_test.go index 89aaa24049e..5e3b80a3b66 100644 --- a/pkg/tsdb/azuremonitor/azuremonitor-datasource_test.go +++ b/pkg/tsdb/azuremonitor/azuremonitor-datasource_test.go @@ -72,7 +72,7 @@ func TestAzureMonitorBuildQueries(t *testing.T) { azureMonitorQueryTarget: "%24filter=blob+eq+%27%2A%27&aggregation=Average&api-version=2018-01-01&interval=PT1M&metricnames=Percentage+CPU&metricnamespace=Microsoft.Compute-virtualMachines×pan=2018-03-15T13%3A00%3A00Z%2F2018-03-15T13%3A34%3A00Z&top=30", }, { - name: "has a dimension filter", + name: "has a dimension filter and none Dimension", azureMonitorVariedProperties: map[string]interface{}{ "timeGrain": "PT1M", "dimension": "None", @@ -83,6 +83,28 @@ func TestAzureMonitorBuildQueries(t *testing.T) { expectedInterval: "PT1M", azureMonitorQueryTarget: "aggregation=Average&api-version=2018-01-01&interval=PT1M&metricnames=Percentage+CPU&metricnamespace=Microsoft.Compute-virtualMachines×pan=2018-03-15T13%3A00%3A00Z%2F2018-03-15T13%3A34%3A00Z", }, + { + name: "has dimensionFilter*s* property with one dimension", + azureMonitorVariedProperties: map[string]interface{}{ + "timeGrain": "PT1M", + "dimensionsFilters": []azureMonitorDimensionFilter{{"blob", "eq", "*"}}, + "top": "30", + }, + queryIntervalMS: 400000, + expectedInterval: "PT1M", + azureMonitorQueryTarget: "%24filter=blob+eq+%27%2A%27&aggregation=Average&api-version=2018-01-01&interval=PT1M&metricnames=Percentage+CPU&metricnamespace=Microsoft.Compute-virtualMachines×pan=2018-03-15T13%3A00%3A00Z%2F2018-03-15T13%3A34%3A00Z&top=30", + }, + { + name: "has dimensionFilter*s* property with two dimensions", + azureMonitorVariedProperties: map[string]interface{}{ + "timeGrain": "PT1M", + "dimensionsFilters": []azureMonitorDimensionFilter{{"blob", "eq", "*"}, {"tier", "eq", "*"}}, + "top": "30", + }, + queryIntervalMS: 400000, + expectedInterval: "PT1M", + azureMonitorQueryTarget: "%24filter=blob+eq+%27%2A%27+and+tier+eq+%27%2A%27&aggregation=Average&api-version=2018-01-01&interval=PT1M&metricnames=Percentage+CPU&metricnamespace=Microsoft.Compute-virtualMachines×pan=2018-03-15T13%3A00%3A00Z%2F2018-03-15T13%3A34%3A00Z&top=30", + }, } commonAzureModelProps := map[string]interface{}{ @@ -139,9 +161,7 @@ func TestAzureMonitorBuildQueries(t *testing.T) { } queries, err := datasource.buildQueries(tsdbQuery.Queries, tsdbQuery.TimeRange) - if err != nil { - t.Error(err) - } + require.NoError(t, err) if diff := cmp.Diff(azureMonitorQuery, queries[0], cmpopts.IgnoreUnexported(simplejson.Json{}), cmpopts.IgnoreFields(AzureMonitorQuery{}, "Params")); diff != "" { t.Errorf("Result mismatch (-want +got):\n%s", diff) } @@ -179,7 +199,7 @@ func TestAzureMonitorParseResponse(t *testing.T) { data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 8, 10, 13, 0, 0, time.UTC), 5, time.Minute)), - data.NewField("grafana.Percentage CPU", nil, []float64{ + data.NewField("Percentage CPU", nil, []float64{ 2.0875, 2.1525, 2.155, 3.6925, 2.44, }).SetConfig(&data.FieldConfig{Unit: "Percent"})), }, @@ -199,7 +219,7 @@ func TestAzureMonitorParseResponse(t *testing.T) { data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 13, 29, 0, 0, time.UTC), 5, time.Minute)), - data.NewField("grafana.Percentage CPU", nil, []float64{ + data.NewField("Percentage CPU", nil, []float64{ 8.26, 8.7, 14.82, 10.07, 8.52, }).SetConfig(&data.FieldConfig{Unit: "Percent"})), }, @@ -219,7 +239,7 @@ func TestAzureMonitorParseResponse(t *testing.T) { data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 14, 26, 0, 0, time.UTC), 5, time.Minute)), - data.NewField("grafana.Percentage CPU", nil, []float64{ + data.NewField("Percentage CPU", nil, []float64{ 3.07, 2.92, 2.87, 2.27, 2.52, }).SetConfig(&data.FieldConfig{Unit: "Percent"})), }, @@ -239,7 +259,7 @@ func TestAzureMonitorParseResponse(t *testing.T) { data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 14, 43, 0, 0, time.UTC), 5, time.Minute)), - data.NewField("grafana.Percentage CPU", nil, []float64{ + data.NewField("Percentage CPU", nil, []float64{ 1.51, 2.38, 1.69, 2.27, 1.96, }).SetConfig(&data.FieldConfig{Unit: "Percent"})), }, @@ -259,14 +279,14 @@ func TestAzureMonitorParseResponse(t *testing.T) { data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 14, 44, 0, 0, time.UTC), 5, time.Minute)), - data.NewField("grafana.Percentage CPU", nil, []float64{ + data.NewField("Percentage CPU", nil, []float64{ 4, 4, 4, 4, 4, }).SetConfig(&data.FieldConfig{Unit: "Percent"})), }, }, { - name: "multi dimension time series response", - responseFile: "6-azure-monitor-response-multi-dimension.json", + name: "single dimension time series response", + responseFile: "6-azure-monitor-response-single-dimension.json", mockQuery: &AzureMonitorQuery{ UrlComponents: map[string]string{ "resourceName": "grafana", @@ -275,31 +295,24 @@ func TestAzureMonitorParseResponse(t *testing.T) { "aggregation": {"Average"}, }, }, - // Regarding multi-dimensional response: - // - It seems they all share the same time index, so maybe can be a wide frame. - // - Due to the type for the Azure monitor response, nulls currently become 0. - // - blogtype=X should maybe become labels. expectedFrames: data.Frames{ data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)), - data.NewField("grafana{blobtype=PageBlob}.Blob Count", nil, []float64{ - 3, 3, 3, 3, 3, 0, - }).SetConfig(&data.FieldConfig{Unit: "Count"})), + data.NewField("Blob Count", data.Labels{"blobtype": "PageBlob"}, + []float64{3, 3, 3, 3, 3, 0}).SetConfig(&data.FieldConfig{Unit: "Count"})), data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)), - data.NewField("grafana{blobtype=BlockBlob}.Blob Count", nil, []float64{ - 1, 1, 1, 1, 1, 0, - }).SetConfig(&data.FieldConfig{Unit: "Count"})), + data.NewField("Blob Count", data.Labels{"blobtype": "BlockBlob"}, + []float64{1, 1, 1, 1, 1, 0}).SetConfig(&data.FieldConfig{Unit: "Count"})), data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)), - data.NewField("grafana{blobtype=Azure Data Lake Storage}.Blob Count", nil, []float64{ - 0, 0, 0, 0, 0, 0, - }).SetConfig(&data.FieldConfig{Unit: "Count"})), + data.NewField("Blob Count", data.Labels{"blobtype": "Azure Data Lake Storage"}, + []float64{0, 0, 0, 0, 0, 0}).SetConfig(&data.FieldConfig{Unit: "Count"})), }, }, { @@ -318,14 +331,14 @@ func TestAzureMonitorParseResponse(t *testing.T) { data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 13, 29, 0, 0, time.UTC), 5, time.Minute)), - data.NewField("custom grafanastaging Microsoft.Compute/virtualMachines grafana Percentage CPU", nil, []float64{ + data.NewField("Percentage CPU", nil, []float64{ 8.26, 8.7, 14.82, 10.07, 8.52, - }).SetConfig(&data.FieldConfig{Unit: "Percent"})), + }).SetConfig(&data.FieldConfig{Unit: "Percent", DisplayName: "custom grafanastaging Microsoft.Compute/virtualMachines grafana Percentage CPU"})), }, }, { - name: "multi dimension with alias", - responseFile: "6-azure-monitor-response-multi-dimension.json", + name: "single dimension with alias", + responseFile: "6-azure-monitor-response-single-dimension.json", mockQuery: &AzureMonitorQuery{ Alias: "{{dimensionname}}={{DimensionValue}}", UrlComponents: map[string]string{ @@ -339,23 +352,57 @@ func TestAzureMonitorParseResponse(t *testing.T) { data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)), - data.NewField("blobtype=PageBlob", nil, []float64{ - 3, 3, 3, 3, 3, 0, - }).SetConfig(&data.FieldConfig{Unit: "Count"})), + data.NewField("Blob Count", data.Labels{"blobtype": "PageBlob"}, + []float64{3, 3, 3, 3, 3, 0}).SetConfig(&data.FieldConfig{Unit: "Count", DisplayName: "blobtype=PageBlob"})), data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)), - data.NewField("blobtype=BlockBlob", nil, []float64{ + data.NewField("Blob Count", data.Labels{"blobtype": "BlockBlob"}, []float64{ 1, 1, 1, 1, 1, 0, - }).SetConfig(&data.FieldConfig{Unit: "Count"})), + }).SetConfig(&data.FieldConfig{Unit: "Count", DisplayName: "blobtype=BlockBlob"})), data.NewFrame("", data.NewField("", nil, makeDates(time.Date(2019, 2, 9, 15, 21, 0, 0, time.UTC), 6, time.Hour)), - data.NewField("blobtype=Azure Data Lake Storage", nil, []float64{ + data.NewField("Blob Count", data.Labels{"blobtype": "Azure Data Lake Storage"}, []float64{ 0, 0, 0, 0, 0, 0, - }).SetConfig(&data.FieldConfig{Unit: "Count"})), + }).SetConfig(&data.FieldConfig{Unit: "Count", DisplayName: "blobtype=Azure Data Lake Storage"})), + }, + }, + { + name: "multiple dimension time series response with label alias", + responseFile: "7-azure-monitor-response-multi-dimension.json", + mockQuery: &AzureMonitorQuery{ + Alias: "{{resourcegroup}} {Blob Type={{blobtype}}, Tier={{tier}}}", + UrlComponents: map[string]string{ + "resourceName": "grafana", + }, + Params: url.Values{ + "aggregation": {"Average"}, + }, + }, + expectedFrames: data.Frames{ + data.NewFrame("", + data.NewField("", nil, + makeDates(time.Date(2020, 06, 30, 9, 58, 0, 0, time.UTC), 3, time.Hour)), + data.NewField("Blob Capacity", data.Labels{"blobtype": "PageBlob", "tier": "Standard"}, + []float64{675530, 675530, 675530}).SetConfig( + &data.FieldConfig{Unit: "Bytes", DisplayName: "danieltest {Blob Type=PageBlob, Tier=Standard}"})), + + data.NewFrame("", + data.NewField("", nil, + makeDates(time.Date(2020, 06, 30, 9, 58, 0, 0, time.UTC), 3, time.Hour)), + data.NewField("Blob Capacity", data.Labels{"blobtype": "BlockBlob", "tier": "Hot"}, + []float64{0, 0, 0}).SetConfig( + &data.FieldConfig{Unit: "Bytes", DisplayName: "danieltest {Blob Type=BlockBlob, Tier=Hot}"})), + + data.NewFrame("", + data.NewField("", nil, + makeDates(time.Date(2020, 06, 30, 9, 58, 0, 0, time.UTC), 3, time.Hour)), + data.NewField("Blob Capacity", data.Labels{"blobtype": "Azure Data Lake Storage", "tier": "Cool"}, + []float64{0, 0, 0}).SetConfig( + &data.FieldConfig{Unit: "Bytes", DisplayName: "danieltest {Blob Type=Azure Data Lake Storage, Tier=Cool}"})), }, }, } diff --git a/pkg/tsdb/azuremonitor/testdata/applicationinsights/bigger.json b/pkg/tsdb/azuremonitor/testdata/applicationinsights/bigger.json new file mode 100644 index 00000000000..32033df4def --- /dev/null +++ b/pkg/tsdb/azuremonitor/testdata/applicationinsights/bigger.json @@ -0,0 +1 @@ +{"value":{"start":"2020-06-26T01:51:51.098Z","end":"2020-06-26T13:51:51.098Z","interval":"PT1M","segments":[{"start":"2020-06-26T01:51:51.098Z","end":"2020-06-26T01:52:00.000Z","segments":[{"client/countryOrRegion":"United States","segments":[{"traces/count":{"sum":21},"client/city":"Washington"}]}]},{"start":"2020-06-26T01:52:00.000Z","end":"2020-06-26T01:53:00.000Z","segments":[{"client/countryOrRegion":"United States","segments":[{"traces/count":{"sum":12},"client/city":"San Antonio"},{"traces/count":{"sum":1},"client/city":"Des 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pkg/tsdb/azuremonitor/testdata/azuremonitor/6-azure-monitor-response-single-dimension.json diff --git a/pkg/tsdb/azuremonitor/testdata/azuremonitor/7-azure-monitor-response-multi-dimension.json b/pkg/tsdb/azuremonitor/testdata/azuremonitor/7-azure-monitor-response-multi-dimension.json new file mode 100644 index 00000000000..9adeec438eb --- /dev/null +++ b/pkg/tsdb/azuremonitor/testdata/azuremonitor/7-azure-monitor-response-multi-dimension.json @@ -0,0 +1,119 @@ +{ + "cost": 0, + "timespan": "2020-06-30T09:58:58Z/2020-06-30T12:58:58Z", + "interval": "PT1H", + "value": [ + { + "id": "/subscriptions/44693801-6ee6-49de-9b2d-9106972f9572/resourceGroups/danieltest/providers/Microsoft.Storage/storageAccounts/danieltestdiag187/blobServices/default/providers/Microsoft.Insights/metrics/BlobCapacity", + "type": "Microsoft.Insights/metrics", + "name": { + "value": "BlobCapacity", + "localizedValue": "Blob Capacity" + }, + "displayDescription": "The amount of storage used by the storage account’s Blob service in bytes.", + "unit": "Bytes", + "timeseries": [ + { + "metadatavalues": [ + { + "name": { + "value": "blobtype", + "localizedValue": "blobtype" + }, + "value": "PageBlob" + }, + { + "name": { + "value": "tier", + "localizedValue": "tier" + }, + "value": "Standard" + } + ], + "data": [ + { + "timeStamp": "2020-06-30T09:58:00Z", + "average": 675530 + }, + { + "timeStamp": "2020-06-30T10:58:00Z", + "average": 675530 + }, + { + "timeStamp": "2020-06-30T11:58:00Z", + "average": 675530 + } + ] + }, + { + "metadatavalues": [ + { + "name": { + "value": "blobtype", + "localizedValue": "blobtype" + }, + "value": "BlockBlob" + }, + { + "name": { + "value": "tier", + "localizedValue": "tier" + }, + "value": "Hot" + } + ], + "data": [ + { + "timeStamp": "2020-06-30T09:58:00Z", + "average": 0 + }, + { + "timeStamp": "2020-06-30T10:58:00Z", + "average": 0 + }, + { + "timeStamp": "2020-06-30T11:58:00Z", + "average": 0 + } + ] + }, + { + "metadatavalues": [ + { + "name": { + "value": "blobtype", + "localizedValue": "blobtype" + }, + "value": "Azure Data Lake Storage" + }, + { + "name": { + "value": "tier", + "localizedValue": "tier" + }, + "value": "Cool" + } + ], + "data": [ + { + "timeStamp": "2020-06-30T09:58:00Z", + "average": 0 + }, + { + "timeStamp": "2020-06-30T10:58:00Z", + "average": 0 + }, + { + "timeStamp": "2020-06-30T11:58:00Z", + "average": 0 + } + ] + } + ], + "errorCode": "Success" + } + ], + "namespace": "Microsoft.Storage/storageAccounts/blobServices", + "resourceregion": "westeurope" +} + \ No newline at end of file diff --git a/pkg/tsdb/azuremonitor/types.go b/pkg/tsdb/azuremonitor/types.go index d20a90a15c8..b684b9326e4 100644 --- a/pkg/tsdb/azuremonitor/types.go +++ b/pkg/tsdb/azuremonitor/types.go @@ -87,8 +87,8 @@ type azureMonitorJSONQuery struct { Aggregation string `json:"aggregation"` Alias string `json:"alias"` AllowedTimeGrainsMs []int64 `json:"allowedTimeGrainsMs"` - Dimension string `json:"dimension"` - DimensionFilter string `json:"dimensionFilter"` + Dimension string `json:"dimension"` // old model + DimensionFilter string `json:"dimensionFilter"` // old model Format string `json:"format"` MetricDefinition string `json:"metricDefinition"` MetricName string `json:"metricName"` @@ -97,10 +97,24 @@ type azureMonitorJSONQuery struct { ResourceName string `json:"resourceName"` TimeGrain string `json:"timeGrain"` Top string `json:"top"` + + DimensionsFilters []azureMonitorDimensionFilter `json:"dimensionsFilters"` // new model } `json:"azureMonitor"` Subscription string `json:"subscription"` } +// azureMonitorDimensionFilter is the model for the frontend sent for azureMonitor metric +// queries like "BlobType", "eq", "*" +type azureMonitorDimensionFilter struct { + Dimension string `json:"dimension"` + Operator string `json:"operator"` + Filter string `json:"filter"` +} + +func (a azureMonitorDimensionFilter) String() string { + return fmt.Sprintf("%v %v '%v'", a.Dimension, a.Operator, a.Filter) +} + // insightsJSONQuery is the frontend JSON query model for an Azure Application Insights query. type insightsJSONQuery struct { AppInsights struct { diff --git a/public/app/plugins/datasource/grafana-azure-monitor-datasource/azure_monitor/azure_monitor_datasource.ts b/public/app/plugins/datasource/grafana-azure-monitor-datasource/azure_monitor/azure_monitor_datasource.ts index 5203c0521f8..47f1d56905b 100644 --- a/public/app/plugins/datasource/grafana-azure-monitor-datasource/azure_monitor/azure_monitor_datasource.ts +++ b/public/app/plugins/datasource/grafana-azure-monitor-datasource/azure_monitor/azure_monitor_datasource.ts @@ -74,11 +74,18 @@ export default class AzureMonitorDatasource extends DataSourceWithBackend { + return { + dimension: templateSrv.replace(f.dimension, scopedVars), + operator: f.operator || 'eq', + filter: templateSrv.replace(f.filter, scopedVars), + }; + }); + return { refId: target.refId, subscription: subscriptionId, queryType: AzureQueryType.AzureMonitor, - type: 'timeSeriesQuery', azureMonitor: { resourceGroup, resourceName, @@ -89,9 +96,8 @@ export default class AzureMonitorDatasource extends DataSourceWithBackend { azureMonitorDatasource: AzureMonitorDatasource; @@ -64,6 +65,10 @@ export default class Datasource extends DataSourceApi -
-
- -
- + + + +
+
+ +
+
+ +
+
+
-
- - + + + + +
+
+ +
+ +
+ + +
+
+ +
+
+ +
+
+
+
-
- - +
+
+ + +
+
+
+
-
-
-
-
+ +
diff --git a/public/app/plugins/datasource/grafana-azure-monitor-datasource/query_ctrl.ts b/public/app/plugins/datasource/grafana-azure-monitor-datasource/query_ctrl.ts index 43a4cf07d50..7a7a14b7c09 100644 --- a/public/app/plugins/datasource/grafana-azure-monitor-datasource/query_ctrl.ts +++ b/public/app/plugins/datasource/grafana-azure-monitor-datasource/query_ctrl.ts @@ -8,7 +8,7 @@ import kbn from 'app/core/utils/kbn'; import { TemplateSrv } from 'app/features/templating/template_srv'; import { auto, IPromise } from 'angular'; import { DataFrame, PanelEvents } from '@grafana/data'; -import { AzureQueryType } from './types'; +import { AzureQueryType, AzureMetricQuery } from './types'; export interface ResultFormat { text: string; @@ -27,23 +27,7 @@ export class AzureMonitorQueryCtrl extends QueryCtrl { refId: string; queryType: AzureQueryType; subscription: string; - azureMonitor: { - resourceGroup: string; - resourceName: string; - metricDefinition: string; - metricNamespace: string; - metricName: string; - dimensionFilter: string; - timeGrain: string; - timeGrainUnit: string; - allowedTimeGrainsMs: number[]; - dimensions: any[]; - dimension: any; - top: string; - aggregation: string; - aggOptions: string[]; - timeGrains: Array<{ text: string; value: string }>; - }; + azureMonitor: AzureMetricQuery; azureLogAnalytics: { query: string; resultFormat: string; @@ -139,6 +123,8 @@ export class AzureMonitorQueryCtrl extends QueryCtrl { this.migrateApplicationInsightsDimensions(); + migrateMetricsDimensionFilters(this.target.azureMonitor); + this.panelCtrl.events.on(PanelEvents.dataReceived, this.onDataReceived.bind(this), $scope); this.panelCtrl.events.on(PanelEvents.dataError, this.onDataError.bind(this), $scope); this.resultFormats = [ @@ -219,12 +205,13 @@ export class AzureMonitorQueryCtrl extends QueryCtrl { } } + const oldAzureTimeGrains = (this.target.azureMonitor as any).timeGrains; if ( - this.target.azureMonitor.timeGrains && - this.target.azureMonitor.timeGrains.length > 0 && + oldAzureTimeGrains && + oldAzureTimeGrains.length > 0 && (!this.target.azureMonitor.allowedTimeGrainsMs || this.target.azureMonitor.allowedTimeGrainsMs.length === 0) ) { - this.target.azureMonitor.allowedTimeGrainsMs = this.convertTimeGrainsToMs(this.target.azureMonitor.timeGrains); + this.target.azureMonitor.allowedTimeGrainsMs = this.convertTimeGrainsToMs(oldAzureTimeGrains); } if ( @@ -328,10 +315,8 @@ export class AzureMonitorQueryCtrl extends QueryCtrl { this.target.azureMonitor.resourceName = this.defaultDropdownValue; this.target.azureMonitor.metricName = this.defaultDropdownValue; this.target.azureMonitor.aggregation = ''; - this.target.azureMonitor.timeGrains = []; this.target.azureMonitor.timeGrain = ''; - this.target.azureMonitor.dimensions = []; - this.target.azureMonitor.dimension = ''; + this.target.azureMonitor.dimensionFilters = []; } } @@ -439,10 +424,8 @@ export class AzureMonitorQueryCtrl extends QueryCtrl { this.target.azureMonitor.metricNamespace = this.defaultDropdownValue; this.target.azureMonitor.metricName = this.defaultDropdownValue; this.target.azureMonitor.aggregation = ''; - this.target.azureMonitor.timeGrains = []; this.target.azureMonitor.timeGrain = ''; - this.target.azureMonitor.dimensions = []; - this.target.azureMonitor.dimension = ''; + this.target.azureMonitor.dimensionFilters = []; this.refresh(); } @@ -451,27 +434,22 @@ export class AzureMonitorQueryCtrl extends QueryCtrl { this.target.azureMonitor.metricNamespace = this.defaultDropdownValue; this.target.azureMonitor.metricName = this.defaultDropdownValue; this.target.azureMonitor.aggregation = ''; - this.target.azureMonitor.timeGrains = []; this.target.azureMonitor.timeGrain = ''; - this.target.azureMonitor.dimensions = []; - this.target.azureMonitor.dimension = ''; + this.target.azureMonitor.dimensionFilters = []; } onResourceNameChange() { this.target.azureMonitor.metricNamespace = this.defaultDropdownValue; this.target.azureMonitor.metricName = this.defaultDropdownValue; this.target.azureMonitor.aggregation = ''; - this.target.azureMonitor.timeGrains = []; this.target.azureMonitor.timeGrain = ''; - this.target.azureMonitor.dimensions = []; - this.target.azureMonitor.dimension = ''; + this.target.azureMonitor.dimensionFilters = []; this.refresh(); } onMetricNamespacesChange() { this.target.azureMonitor.metricName = this.defaultDropdownValue; - this.target.azureMonitor.dimensions = []; - this.target.azureMonitor.dimension = ''; + this.target.azureMonitor.dimensionFilters = []; } onMetricNameChange(): IPromise { @@ -489,16 +467,20 @@ export class AzureMonitorQueryCtrl extends QueryCtrl { this.replace(this.target.azureMonitor.metricName) ) .then((metadata: any) => { - this.target.azureMonitor.aggOptions = metadata.supportedAggTypes || [metadata.primaryAggType]; - this.target.azureMonitor.aggregation = metadata.primaryAggType; - this.target.azureMonitor.timeGrains = [{ text: 'auto', value: 'auto' }].concat(metadata.supportedTimeGrains); - this.target.azureMonitor.timeGrain = 'auto'; + console.log('Update metadata', metadata); + this.target.azureMonitor.aggregation = metadata.primaryAggType; + this.target.azureMonitor.timeGrain = 'auto'; this.target.azureMonitor.allowedTimeGrainsMs = this.convertTimeGrainsToMs(metadata.supportedTimeGrains || []); - this.target.azureMonitor.dimensions = metadata.dimensions; + // HACK: this saves the last metadata values in the panel json ¯\_(ツ)_/¯ + const hackState = this.target.azureMonitor as any; + hackState.aggOptions = metadata.supportedAggTypes || [metadata.primaryAggType]; + hackState.timeGrains = [{ text: 'auto', value: 'auto' }].concat(metadata.supportedTimeGrains); + hackState.dimensions = metadata.dimensions; + if (metadata.dimensions.length > 0) { - this.target.azureMonitor.dimension = metadata.dimensions[0].value; + // this.target.azureMonitor.dimension = metadata.dimensions[0].value; } return this.refresh(); @@ -537,13 +519,29 @@ export class AzureMonitorQueryCtrl extends QueryCtrl { } getAzureMonitorAutoInterval() { - return this.generateAutoUnits(this.target.azureMonitor.timeGrain, this.target.azureMonitor.timeGrains); + return this.generateAutoUnits(this.target.azureMonitor.timeGrain, (this.target.azureMonitor as any).timeGrains); } getApplicationInsightAutoInterval() { return this.generateAutoUnits(this.target.appInsights.timeGrain, this.target.appInsights.timeGrains); } + azureMonitorAddDimensionFilter() { + console.log('Add dimension', this.target.azureMonitor); + this.target.azureMonitor.dimensionFilters.push({ + dimension: '', + operator: 'eq', + filter: '', + }); + this.refresh(); + } + + azureMonitorRemoveDimensionFilter(index: number) { + this.target.azureMonitor.dimensionFilters.splice(index, 1); + this.refresh(); + console.log('Remove dimension', index, this.target.azureMonitor); + } + /* Azure Log Analytics */ getWorkspaces = () => { @@ -695,3 +693,20 @@ export class AzureMonitorQueryCtrl extends QueryCtrl { this.refresh(); } } + +// Modifies the actual query object +export function migrateMetricsDimensionFilters(item: AzureMetricQuery) { + if (!item.dimensionFilters) { + item.dimensionFilters = []; + } + const oldDimension = (item as any).dimension; + if (oldDimension && oldDimension !== 'None') { + item.dimensionFilters.push({ + dimension: oldDimension, + operator: 'eq', + filter: (item as any).dimensionFilter, + }); + delete (item as any).dimension; + delete (item as any).dimensionFilter; + } +} diff --git a/public/app/plugins/datasource/grafana-azure-monitor-datasource/types.ts b/public/app/plugins/datasource/grafana-azure-monitor-datasource/types.ts index 856503589bc..88cbe4d2b6d 100644 --- a/public/app/plugins/datasource/grafana-azure-monitor-datasource/types.ts +++ b/public/app/plugins/datasource/grafana-azure-monitor-datasource/types.ts @@ -45,6 +45,12 @@ export interface AzureDataSourceSecureJsonData { appInsightsApiKey?: string; } +export interface AzureMetricDimension { + dimension: string; + operator: 'eq'; // future proof + filter?: string; // * +} + export interface AzureMetricQuery { resourceGroup: string; resourceName: string; @@ -55,8 +61,7 @@ export interface AzureMetricQuery { timeGrain: string; allowedTimeGrainsMs: number[]; aggregation: string; - dimension: string; - dimensionFilter: string; + dimensionFilters: AzureMetricDimension[]; alias: string; top: string; }