mirror of
https://github.com/grafana/grafana.git
synced 2025-02-25 18:55:37 -06:00
Elasticsearch: Convert Timeseries and Tables to Dataframes (#34710)
* Rebase (broken tests)
* Removed tables - refactored processAggregationDocs func
* Tests cleanup
* Nit - add space in percentile legend titles
* Fix labels naming - use metricAggType map
* Fix bug which appended same fields over and over again
* Replace test with dataframes
* Fix tests
* Add nolint:gocyclo - will need refactoring
* Move frames tags assignment
* Add failing test fo when ES server is booting up
* Revert "Add failing test fo when ES server is booting up"
This reverts commit fd14a1fd5e
.
Co-authored-by: Elfo404 <me@giordanoricci.com>
This commit is contained in:
parent
7aaf813751
commit
0d08881876
@ -6,8 +6,9 @@ import (
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"sort"
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"strconv"
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"strings"
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"time"
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"github.com/grafana/grafana/pkg/components/null"
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"github.com/grafana/grafana-plugin-sdk-go/data"
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"github.com/grafana/grafana/pkg/components/simplejson"
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"github.com/grafana/grafana/pkg/plugins"
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es "github.com/grafana/grafana/pkg/tsdb/elasticsearch/client"
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@ -69,20 +70,12 @@ func (rp *responseParser) getTimeSeries() (plugins.DataResponse, error) {
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Meta: debugInfo,
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}
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props := make(map[string]string)
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table := plugins.DataTable{
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Columns: make([]plugins.DataTableColumn, 0),
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Rows: make([]plugins.DataRowValues, 0),
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}
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err := rp.processBuckets(res.Aggregations, target, &queryRes.Series, &table, props, 0)
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err := rp.processBuckets(res.Aggregations, target, &queryRes, props, 0)
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if err != nil {
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return plugins.DataResponse{}, err
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}
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rp.nameSeries(queryRes.Series, target)
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rp.trimDatapoints(queryRes.Series, target)
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if len(table.Rows) > 0 {
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queryRes.Tables = append(queryRes.Tables, table)
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}
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rp.nameFields(queryRes, target)
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rp.trimDatapoints(queryRes, target)
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result.Results[target.RefID] = queryRes
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}
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@ -91,7 +84,7 @@ func (rp *responseParser) getTimeSeries() (plugins.DataResponse, error) {
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// nolint:staticcheck // plugins.* deprecated
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func (rp *responseParser) processBuckets(aggs map[string]interface{}, target *Query,
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series *plugins.DataTimeSeriesSlice, table *plugins.DataTable, props map[string]string, depth int) error {
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queryResult *plugins.DataQueryResult, props map[string]string, depth int) error {
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var err error
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maxDepth := len(target.BucketAggs) - 1
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@ -110,9 +103,9 @@ func (rp *responseParser) processBuckets(aggs map[string]interface{}, target *Qu
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if depth == maxDepth {
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if aggDef.Type == dateHistType {
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err = rp.processMetrics(esAgg, target, series, props)
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err = rp.processMetrics(esAgg, target, queryResult, props)
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} else {
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err = rp.processAggregationDocs(esAgg, aggDef, target, table, props)
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err = rp.processAggregationDocs(esAgg, aggDef, target, queryResult, props)
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}
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if err != nil {
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return err
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@ -135,7 +128,7 @@ func (rp *responseParser) processBuckets(aggs map[string]interface{}, target *Qu
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if key, err := bucket.Get("key_as_string").String(); err == nil {
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newProps[aggDef.Field] = key
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}
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err = rp.processBuckets(bucket.MustMap(), target, series, table, newProps, depth+1)
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err = rp.processBuckets(bucket.MustMap(), target, queryResult, newProps, depth+1)
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if err != nil {
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return err
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}
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@ -158,7 +151,7 @@ func (rp *responseParser) processBuckets(aggs map[string]interface{}, target *Qu
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newProps["filter"] = bucketKey
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err = rp.processBuckets(bucket.MustMap(), target, series, table, newProps, depth+1)
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err = rp.processBuckets(bucket.MustMap(), target, queryResult, newProps, depth+1)
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if err != nil {
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return err
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}
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@ -168,35 +161,40 @@ func (rp *responseParser) processBuckets(aggs map[string]interface{}, target *Qu
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return nil
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}
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// nolint:staticcheck // plugins.* deprecated
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func (rp *responseParser) processMetrics(esAgg *simplejson.Json, target *Query, series *plugins.DataTimeSeriesSlice,
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// nolint:staticcheck,gocyclo // plugins.* deprecated
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func (rp *responseParser) processMetrics(esAgg *simplejson.Json, target *Query, query *plugins.DataQueryResult,
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props map[string]string) error {
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frames := data.Frames{}
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esAggBuckets := esAgg.Get("buckets").MustArray()
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for _, metric := range target.Metrics {
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if metric.Hide {
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continue
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}
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tags := make(map[string]string, len(props))
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timeVector := make([]time.Time, 0, len(esAggBuckets))
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values := make([]*float64, 0, len(esAggBuckets))
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switch metric.Type {
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case countType:
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newSeries := plugins.DataTimeSeries{
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Tags: make(map[string]string),
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}
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for _, v := range esAgg.Get("buckets").MustArray() {
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for _, v := range esAggBuckets {
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bucket := simplejson.NewFromAny(v)
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value := castToNullFloat(bucket.Get("doc_count"))
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key := castToNullFloat(bucket.Get("key"))
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newSeries.Points = append(newSeries.Points, plugins.DataTimePoint{value, key})
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value := castToFloat(bucket.Get("doc_count"))
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key := castToFloat(bucket.Get("key"))
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timeVector = append(timeVector, time.Unix(int64(*key)/1000, 0).UTC())
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values = append(values, value)
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}
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for k, v := range props {
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newSeries.Tags[k] = v
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tags[k] = v
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}
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newSeries.Tags["metric"] = countType
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*series = append(*series, newSeries)
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tags["metric"] = countType
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frames = append(frames, data.NewFrame(metric.Field,
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data.NewField("time", nil, timeVector),
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data.NewField("value", tags, values).SetConfig(&data.FieldConfig{DisplayNameFromDS: rp.getMetricName(tags["metric"]) + " " + metric.Field})))
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case percentilesType:
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buckets := esAgg.Get("buckets").MustArray()
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buckets := esAggBuckets
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if len(buckets) == 0 {
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break
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}
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@ -210,28 +208,72 @@ func (rp *responseParser) processMetrics(esAgg *simplejson.Json, target *Query,
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}
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sort.Strings(percentileKeys)
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for _, percentileName := range percentileKeys {
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newSeries := plugins.DataTimeSeries{
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Tags: make(map[string]string),
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}
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tags := make(map[string]string, len(props))
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timeVector := make([]time.Time, 0, len(esAggBuckets))
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values := make([]*float64, 0, len(esAggBuckets))
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for k, v := range props {
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newSeries.Tags[k] = v
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tags[k] = v
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}
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newSeries.Tags["metric"] = "p" + percentileName
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newSeries.Tags["field"] = metric.Field
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tags["metric"] = "p" + percentileName
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tags["field"] = metric.Field
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for _, v := range buckets {
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bucket := simplejson.NewFromAny(v)
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value := castToNullFloat(bucket.GetPath(metric.ID, "values", percentileName))
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key := castToNullFloat(bucket.Get("key"))
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newSeries.Points = append(newSeries.Points, plugins.DataTimePoint{value, key})
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value := castToFloat(bucket.GetPath(metric.ID, "values", percentileName))
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key := castToFloat(bucket.Get("key"))
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timeVector = append(timeVector, time.Unix(int64(*key)/1000, 0).UTC())
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values = append(values, value)
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}
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*series = append(*series, newSeries)
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frames = append(frames, data.NewFrame(metric.Field,
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data.NewField("time", nil, timeVector),
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data.NewField("value", tags, values).SetConfig(&data.FieldConfig{DisplayNameFromDS: rp.getMetricName(tags["metric"]) + " " + metric.Field})))
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}
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case topMetricsType:
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topMetricSeries := processTopMetrics(metric, esAgg, props)
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*series = append(*series, topMetricSeries...)
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buckets := esAggBuckets
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metrics := metric.Settings.Get("metrics").MustArray()
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for _, metricField := range metrics {
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tags := make(map[string]string, len(props))
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timeVector := make([]time.Time, 0, len(esAggBuckets))
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values := make([]*float64, 0, len(esAggBuckets))
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for k, v := range props {
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tags[k] = v
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}
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tags["field"] = metricField.(string)
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tags["metric"] = "top_metrics"
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for _, v := range buckets {
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bucket := simplejson.NewFromAny(v)
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stats := bucket.GetPath(metric.ID, "top")
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key := castToFloat(bucket.Get("key"))
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timeVector = append(timeVector, time.Unix(int64(*key)/1000, 0).UTC())
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for _, stat := range stats.MustArray() {
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stat := stat.(map[string]interface{})
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metrics, hasMetrics := stat["metrics"]
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if hasMetrics {
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metrics := metrics.(map[string]interface{})
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metricValue, hasMetricValue := metrics[metricField.(string)]
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if hasMetricValue && metricValue != nil {
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v := metricValue.(float64)
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values = append(values, &v)
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}
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}
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}
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}
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frames = append(frames, data.NewFrame(metricField.(string),
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data.NewField("time", nil, timeVector),
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data.NewField("value", tags, values).SetConfig(&data.FieldConfig{DisplayNameFromDS: rp.getMetricName(tags["metric"]) + " " + metricField.(string)}),
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))
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}
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case extendedStatsType:
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buckets := esAgg.Get("buckets").MustArray()
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buckets := esAggBuckets
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metaKeys := make([]string, 0)
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meta := metric.Meta.MustMap()
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@ -245,111 +287,157 @@ func (rp *responseParser) processMetrics(esAgg *simplejson.Json, target *Query,
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continue
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}
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newSeries := plugins.DataTimeSeries{
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Tags: make(map[string]string),
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}
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tags := make(map[string]string, len(props))
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timeVector := make([]time.Time, 0, len(esAggBuckets))
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values := make([]*float64, 0, len(esAggBuckets))
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for k, v := range props {
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newSeries.Tags[k] = v
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tags[k] = v
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}
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newSeries.Tags["metric"] = statName
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newSeries.Tags["field"] = metric.Field
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tags["metric"] = statName
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tags["field"] = metric.Field
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for _, v := range buckets {
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bucket := simplejson.NewFromAny(v)
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key := castToNullFloat(bucket.Get("key"))
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var value null.Float
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key := castToFloat(bucket.Get("key"))
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var value *float64
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switch statName {
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case "std_deviation_bounds_upper":
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value = castToNullFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "upper"))
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value = castToFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "upper"))
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case "std_deviation_bounds_lower":
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value = castToNullFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "lower"))
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value = castToFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "lower"))
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default:
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value = castToNullFloat(bucket.GetPath(metric.ID, statName))
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value = castToFloat(bucket.GetPath(metric.ID, statName))
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}
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newSeries.Points = append(newSeries.Points, plugins.DataTimePoint{value, key})
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timeVector = append(timeVector, time.Unix(int64(*key)/1000, 0).UTC())
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values = append(values, value)
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}
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*series = append(*series, newSeries)
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labels := tags
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frames = append(frames, data.NewFrame(metric.Field,
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data.NewField("time", nil, timeVector),
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data.NewField("value", labels, values).SetConfig(&data.FieldConfig{DisplayNameFromDS: rp.getMetricName(tags["metric"]) + " " + metric.Field})))
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}
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default:
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newSeries := plugins.DataTimeSeries{
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Tags: make(map[string]string),
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}
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for k, v := range props {
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newSeries.Tags[k] = v
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tags[k] = v
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}
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newSeries.Tags["metric"] = metric.Type
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newSeries.Tags["field"] = metric.Field
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newSeries.Tags["metricId"] = metric.ID
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for _, v := range esAgg.Get("buckets").MustArray() {
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tags["metric"] = metric.Type
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tags["field"] = metric.Field
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tags["metricId"] = metric.ID
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for _, v := range esAggBuckets {
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bucket := simplejson.NewFromAny(v)
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key := castToNullFloat(bucket.Get("key"))
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key := castToFloat(bucket.Get("key"))
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valueObj, err := bucket.Get(metric.ID).Map()
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if err != nil {
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continue
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}
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var value null.Float
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var value *float64
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if _, ok := valueObj["normalized_value"]; ok {
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value = castToNullFloat(bucket.GetPath(metric.ID, "normalized_value"))
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value = castToFloat(bucket.GetPath(metric.ID, "normalized_value"))
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} else {
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value = castToNullFloat(bucket.GetPath(metric.ID, "value"))
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value = castToFloat(bucket.GetPath(metric.ID, "value"))
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}
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newSeries.Points = append(newSeries.Points, plugins.DataTimePoint{value, key})
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timeVector = append(timeVector, time.Unix(int64(*key)/1000, 0).UTC())
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values = append(values, value)
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}
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*series = append(*series, newSeries)
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frames = append(frames, data.NewFrame(metric.Field,
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data.NewField("time", nil, timeVector),
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data.NewField("value", tags, values).SetConfig(&data.FieldConfig{DisplayNameFromDS: rp.getMetricName(tags["metric"]) + " " + metric.Field})))
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}
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}
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if query.Dataframes != nil {
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oldFrames, err := query.Dataframes.Decoded()
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if err != nil {
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return err
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}
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frames = append(oldFrames, frames...)
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}
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query.Dataframes = plugins.NewDecodedDataFrames(frames)
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return nil
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}
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// nolint:staticcheck // plugins.* deprecated
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func (rp *responseParser) processAggregationDocs(esAgg *simplejson.Json, aggDef *BucketAgg, target *Query,
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table *plugins.DataTable, props map[string]string) error {
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queryResult *plugins.DataQueryResult, props map[string]string) error {
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propKeys := make([]string, 0)
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for k := range props {
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propKeys = append(propKeys, k)
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}
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sort.Strings(propKeys)
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frames := data.Frames{}
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var fields []*data.Field
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if len(table.Columns) == 0 {
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if queryResult.Dataframes == nil {
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for _, propKey := range propKeys {
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table.Columns = append(table.Columns, plugins.DataTableColumn{Text: propKey})
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fields = append(fields, data.NewField(propKey, nil, []*string{}))
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}
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table.Columns = append(table.Columns, plugins.DataTableColumn{Text: aggDef.Field})
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}
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addMetricValue := func(values *plugins.DataRowValues, metricName string, value null.Float) {
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found := false
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for _, c := range table.Columns {
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if c.Text == metricName {
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found = true
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addMetricValue := func(values []interface{}, metricName string, value *float64) {
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index := -1
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for i, f := range fields {
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if f.Name == metricName {
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index = i
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break
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}
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}
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if !found {
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table.Columns = append(table.Columns, plugins.DataTableColumn{Text: metricName})
|
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|
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var field data.Field
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if index == -1 {
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field = *data.NewField(metricName, nil, []*float64{})
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fields = append(fields, &field)
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} else {
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field = *fields[index]
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}
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*values = append(*values, value)
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field.Append(value)
|
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}
|
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|
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for _, v := range esAgg.Get("buckets").MustArray() {
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bucket := simplejson.NewFromAny(v)
|
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values := make(plugins.DataRowValues, 0)
|
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var values []interface{}
|
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|
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found := false
|
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for _, e := range fields {
|
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for _, propKey := range propKeys {
|
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values = append(values, props[propKey])
|
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if e.Name == propKey {
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e.Append(props[propKey])
|
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}
|
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}
|
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if e.Name == aggDef.Field {
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found = true
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if key, err := bucket.Get("key").String(); err == nil {
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e.Append(&key)
|
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} else {
|
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f, err := bucket.Get("key").Float64()
|
||||
if err != nil {
|
||||
return err
|
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}
|
||||
e.Append(&f)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if !found {
|
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var aggDefField *data.Field
|
||||
if key, err := bucket.Get("key").String(); err == nil {
|
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values = append(values, key)
|
||||
aggDefField = extractDataField(aggDef.Field, &key)
|
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aggDefField.Append(&key)
|
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} else {
|
||||
values = append(values, castToNullFloat(bucket.Get("key")))
|
||||
f, err := bucket.Get("key").Float64()
|
||||
if err != nil {
|
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return err
|
||||
}
|
||||
aggDefField = extractDataField(aggDef.Field, &f)
|
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aggDefField.Append(&f)
|
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}
|
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fields = append(fields, aggDefField)
|
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}
|
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|
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for _, metric := range target.Metrics {
|
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switch metric.Type {
|
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case countType:
|
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addMetricValue(&values, rp.getMetricName(metric.Type), castToNullFloat(bucket.Get("doc_count")))
|
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addMetricValue(values, rp.getMetricName(metric.Type), castToFloat(bucket.Get("doc_count")))
|
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case extendedStatsType:
|
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metaKeys := make([]string, 0)
|
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meta := metric.Meta.MustMap()
|
||||
@ -363,17 +451,17 @@ func (rp *responseParser) processAggregationDocs(esAgg *simplejson.Json, aggDef
|
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continue
|
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}
|
||||
|
||||
var value null.Float
|
||||
var value *float64
|
||||
switch statName {
|
||||
case "std_deviation_bounds_upper":
|
||||
value = castToNullFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "upper"))
|
||||
value = castToFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "upper"))
|
||||
case "std_deviation_bounds_lower":
|
||||
value = castToNullFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "lower"))
|
||||
value = castToFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "lower"))
|
||||
default:
|
||||
value = castToNullFloat(bucket.GetPath(metric.ID, statName))
|
||||
value = castToFloat(bucket.GetPath(metric.ID, statName))
|
||||
}
|
||||
|
||||
addMetricValue(&values, rp.getMetricName(metric.Type), value)
|
||||
addMetricValue(values, rp.getMetricName(metric.Type), value)
|
||||
break
|
||||
}
|
||||
default:
|
||||
@ -394,17 +482,36 @@ func (rp *responseParser) processAggregationDocs(esAgg *simplejson.Json, aggDef
|
||||
}
|
||||
}
|
||||
|
||||
addMetricValue(&values, metricName, castToNullFloat(bucket.GetPath(metric.ID, "value")))
|
||||
addMetricValue(values, metricName, castToFloat(bucket.GetPath(metric.ID, "value")))
|
||||
}
|
||||
}
|
||||
|
||||
table.Rows = append(table.Rows, values)
|
||||
}
|
||||
var dataFields []*data.Field
|
||||
dataFields = append(dataFields, fields...)
|
||||
|
||||
frames = data.Frames{
|
||||
&data.Frame{
|
||||
Fields: dataFields,
|
||||
}}
|
||||
}
|
||||
queryResult.Dataframes = plugins.NewDecodedDataFrames(frames)
|
||||
return nil
|
||||
}
|
||||
|
||||
func (rp *responseParser) trimDatapoints(series plugins.DataTimeSeriesSlice, target *Query) {
|
||||
func extractDataField(name string, v interface{}) *data.Field {
|
||||
switch v.(type) {
|
||||
case *string:
|
||||
return data.NewField(name, nil, []*string{})
|
||||
case *float64:
|
||||
return data.NewField(name, nil, []*float64{})
|
||||
default:
|
||||
return &data.Field{}
|
||||
}
|
||||
}
|
||||
|
||||
// TODO remove deprecations
|
||||
// nolint:staticcheck // plugins.DataQueryResult deprecated
|
||||
func (rp *responseParser) trimDatapoints(queryResult plugins.DataQueryResult, target *Query) {
|
||||
var histogram *BucketAgg
|
||||
for _, bucketAgg := range target.BucketAggs {
|
||||
if bucketAgg.Type == dateHistType {
|
||||
@ -422,44 +529,62 @@ func (rp *responseParser) trimDatapoints(series plugins.DataTimeSeriesSlice, tar
|
||||
return
|
||||
}
|
||||
|
||||
for i := range series {
|
||||
if len(series[i].Points) > trimEdges*2 {
|
||||
series[i].Points = series[i].Points[trimEdges : len(series[i].Points)-trimEdges]
|
||||
frames, err := queryResult.Dataframes.Decoded()
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
|
||||
for _, frame := range frames {
|
||||
for _, field := range frame.Fields {
|
||||
if field.Len() > trimEdges*2 {
|
||||
for i := 0; i < field.Len(); i++ {
|
||||
if i < trimEdges || i > field.Len()-trimEdges {
|
||||
field.Delete(i)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func (rp *responseParser) nameSeries(seriesList plugins.DataTimeSeriesSlice, target *Query) {
|
||||
// nolint:staticcheck // plugins.DataQueryResult deprecated
|
||||
func (rp *responseParser) nameFields(queryResult plugins.DataQueryResult, target *Query) {
|
||||
set := make(map[string]struct{})
|
||||
for _, v := range seriesList {
|
||||
if metricType, exists := v.Tags["metric"]; exists {
|
||||
frames, err := queryResult.Dataframes.Decoded()
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
for _, v := range frames {
|
||||
for _, vv := range v.Fields {
|
||||
if metricType, exists := vv.Labels["metric"]; exists {
|
||||
if _, ok := set[metricType]; !ok {
|
||||
set[metricType] = struct{}{}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
metricTypeCount := len(set)
|
||||
for i := range seriesList {
|
||||
seriesList[i].Name = rp.getSeriesName(seriesList[i], target, metricTypeCount)
|
||||
for i := range frames {
|
||||
frames[i].Name = rp.getFieldName(*frames[i].Fields[1], target, metricTypeCount)
|
||||
}
|
||||
}
|
||||
|
||||
var aliasPatternRegex = regexp.MustCompile(`\{\{([\s\S]+?)\}\}`)
|
||||
|
||||
// nolint:staticcheck // plugins.* deprecated
|
||||
func (rp *responseParser) getSeriesName(series plugins.DataTimeSeries, target *Query, metricTypeCount int) string {
|
||||
metricType := series.Tags["metric"]
|
||||
func (rp *responseParser) getFieldName(dataField data.Field, target *Query, metricTypeCount int) string {
|
||||
metricType := dataField.Labels["metric"]
|
||||
metricName := rp.getMetricName(metricType)
|
||||
delete(series.Tags, "metric")
|
||||
delete(dataField.Labels, "metric")
|
||||
|
||||
field := ""
|
||||
if v, ok := series.Tags["field"]; ok {
|
||||
if v, ok := dataField.Labels["field"]; ok {
|
||||
field = v
|
||||
delete(series.Tags, "field")
|
||||
delete(dataField.Labels, "field")
|
||||
}
|
||||
|
||||
if target.Alias != "" {
|
||||
seriesName := target.Alias
|
||||
frameName := target.Alias
|
||||
|
||||
subMatches := aliasPatternRegex.FindAllStringSubmatch(target.Alias, -1)
|
||||
for _, subMatch := range subMatches {
|
||||
@ -470,26 +595,26 @@ func (rp *responseParser) getSeriesName(series plugins.DataTimeSeries, target *Q
|
||||
}
|
||||
|
||||
if strings.Index(group, "term ") == 0 {
|
||||
seriesName = strings.Replace(seriesName, subMatch[0], series.Tags[group[5:]], 1)
|
||||
frameName = strings.Replace(frameName, subMatch[0], dataField.Labels[group[5:]], 1)
|
||||
}
|
||||
if v, ok := series.Tags[group]; ok {
|
||||
seriesName = strings.Replace(seriesName, subMatch[0], v, 1)
|
||||
if v, ok := dataField.Labels[group]; ok {
|
||||
frameName = strings.Replace(frameName, subMatch[0], v, 1)
|
||||
}
|
||||
if group == "metric" {
|
||||
seriesName = strings.Replace(seriesName, subMatch[0], metricName, 1)
|
||||
frameName = strings.Replace(frameName, subMatch[0], metricName, 1)
|
||||
}
|
||||
if group == "field" {
|
||||
seriesName = strings.Replace(seriesName, subMatch[0], field, 1)
|
||||
frameName = strings.Replace(frameName, subMatch[0], field, 1)
|
||||
}
|
||||
}
|
||||
|
||||
return seriesName
|
||||
return frameName
|
||||
}
|
||||
// todo, if field and pipelineAgg
|
||||
if field != "" && isPipelineAgg(metricType) {
|
||||
if isPipelineAggWithMultipleBucketPaths(metricType) {
|
||||
metricID := ""
|
||||
if v, ok := series.Tags["metricId"]; ok {
|
||||
if v, ok := dataField.Labels["metricId"]; ok {
|
||||
metricID = v
|
||||
}
|
||||
|
||||
@ -521,14 +646,14 @@ func (rp *responseParser) getSeriesName(series plugins.DataTimeSeries, target *Q
|
||||
metricName += " " + field
|
||||
}
|
||||
|
||||
delete(series.Tags, "metricId")
|
||||
delete(dataField.Labels, "metricId")
|
||||
|
||||
if len(series.Tags) == 0 {
|
||||
if len(dataField.Labels) == 0 {
|
||||
return metricName
|
||||
}
|
||||
|
||||
name := ""
|
||||
for _, v := range series.Tags {
|
||||
for _, v := range dataField.Labels {
|
||||
name += v + " "
|
||||
}
|
||||
|
||||
@ -551,23 +676,23 @@ func (rp *responseParser) getMetricName(metric string) string {
|
||||
return metric
|
||||
}
|
||||
|
||||
func castToNullFloat(j *simplejson.Json) null.Float {
|
||||
func castToFloat(j *simplejson.Json) *float64 {
|
||||
f, err := j.Float64()
|
||||
if err == nil {
|
||||
return null.FloatFrom(f)
|
||||
return &f
|
||||
}
|
||||
|
||||
if s, err := j.String(); err == nil {
|
||||
if strings.ToLower(s) == "nan" {
|
||||
return null.NewFloat(0, false)
|
||||
return nil
|
||||
}
|
||||
|
||||
if v, err := strconv.ParseFloat(s, 64); err == nil {
|
||||
return null.FloatFromPtr(&v)
|
||||
return &v
|
||||
}
|
||||
}
|
||||
|
||||
return null.NewFloat(0, false)
|
||||
return nil
|
||||
}
|
||||
|
||||
func findAgg(target *Query, aggID string) (*BucketAgg, error) {
|
||||
@ -597,47 +722,3 @@ func getErrorFromElasticResponse(response *es.SearchResponse) plugins.DataQueryR
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
func processTopMetricValues(stats *simplejson.Json, field string) null.Float {
|
||||
for _, stat := range stats.MustArray() {
|
||||
stat := stat.(map[string]interface{})
|
||||
metrics, hasMetrics := stat["metrics"]
|
||||
if hasMetrics {
|
||||
metrics := metrics.(map[string]interface{})
|
||||
metricValue, hasMetricValue := metrics[field]
|
||||
if hasMetricValue && metricValue != nil {
|
||||
return null.FloatFrom(metricValue.(float64))
|
||||
}
|
||||
}
|
||||
}
|
||||
return null.NewFloat(0, false)
|
||||
}
|
||||
|
||||
func processTopMetrics(metric *MetricAgg, esAgg *simplejson.Json, props map[string]string) plugins.DataTimeSeriesSlice {
|
||||
var series plugins.DataTimeSeriesSlice
|
||||
metrics, hasMetrics := metric.Settings.MustMap()["metrics"].([]interface{})
|
||||
|
||||
if hasMetrics {
|
||||
for _, metricField := range metrics {
|
||||
newSeries := plugins.DataTimeSeries{
|
||||
Tags: make(map[string]string),
|
||||
}
|
||||
|
||||
for _, v := range esAgg.Get("buckets").MustArray() {
|
||||
bucket := simplejson.NewFromAny(v)
|
||||
stats := bucket.GetPath(metric.ID, "top")
|
||||
value := processTopMetricValues(stats, metricField.(string))
|
||||
key := castToNullFloat(bucket.Get("key"))
|
||||
newSeries.Points = append(newSeries.Points, plugins.DataTimePoint{value, key})
|
||||
}
|
||||
|
||||
for k, v := range props {
|
||||
newSeries.Tags[k] = v
|
||||
}
|
||||
newSeries.Tags["metric"] = "top_metrics"
|
||||
newSeries.Tags["field"] = metricField.(string)
|
||||
series = append(series, newSeries)
|
||||
}
|
||||
}
|
||||
return series
|
||||
}
|
||||
|
@ -6,18 +6,16 @@ import (
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
"github.com/grafana/grafana/pkg/components/null"
|
||||
"github.com/grafana/grafana/pkg/components/simplejson"
|
||||
"github.com/grafana/grafana/pkg/plugins"
|
||||
es "github.com/grafana/grafana/pkg/tsdb/elasticsearch/client"
|
||||
"github.com/stretchr/testify/assert"
|
||||
|
||||
. "github.com/smartystreets/goconvey/convey"
|
||||
"github.com/stretchr/testify/require"
|
||||
)
|
||||
|
||||
func TestResponseParser(t *testing.T) {
|
||||
Convey("Elasticsearch response parser test", t, func() {
|
||||
Convey("Simple query and count", func() {
|
||||
t.Run("Elasticsearch response parser test", func(t *testing.T) {
|
||||
t.Run("Simple query and count", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -46,24 +44,28 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Series, ShouldHaveLength, 1)
|
||||
series := queryRes.Series[0]
|
||||
So(series.Name, ShouldEqual, "Count")
|
||||
So(series.Points, ShouldHaveLength, 2)
|
||||
So(series.Points[0][0].Float64, ShouldEqual, 10)
|
||||
So(series.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(series.Points[1][0].Float64, ShouldEqual, 15)
|
||||
So(series.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 1)
|
||||
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "Count")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
})
|
||||
|
||||
Convey("Simple query count & avg aggregation", func() {
|
||||
t.Run("Simple query count & avg aggregation", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -94,32 +96,37 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Series, ShouldHaveLength, 2)
|
||||
seriesOne := queryRes.Series[0]
|
||||
So(seriesOne.Name, ShouldEqual, "Count")
|
||||
So(seriesOne.Points, ShouldHaveLength, 2)
|
||||
So(seriesOne.Points[0][0].Float64, ShouldEqual, 10)
|
||||
So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesOne.Points[1][0].Float64, ShouldEqual, 15)
|
||||
So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 2)
|
||||
|
||||
seriesTwo := queryRes.Series[1]
|
||||
So(seriesTwo.Name, ShouldEqual, "Average value")
|
||||
So(seriesTwo.Points, ShouldHaveLength, 2)
|
||||
So(seriesTwo.Points[0][0].Float64, ShouldEqual, 88)
|
||||
So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesTwo.Points[1][0].Float64, ShouldEqual, 99)
|
||||
So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "Count")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
frame = dataframes[1]
|
||||
require.Equal(t, frame.Name, "Average value")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
})
|
||||
|
||||
Convey("Single group by query one metric", func() {
|
||||
t.Run("Single group by query one metric", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -157,32 +164,34 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Series, ShouldHaveLength, 2)
|
||||
seriesOne := queryRes.Series[0]
|
||||
So(seriesOne.Name, ShouldEqual, "server1")
|
||||
So(seriesOne.Points, ShouldHaveLength, 2)
|
||||
So(seriesOne.Points[0][0].Float64, ShouldEqual, 1)
|
||||
So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesOne.Points[1][0].Float64, ShouldEqual, 3)
|
||||
So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 2)
|
||||
|
||||
seriesTwo := queryRes.Series[1]
|
||||
So(seriesTwo.Name, ShouldEqual, "server2")
|
||||
So(seriesTwo.Points, ShouldHaveLength, 2)
|
||||
So(seriesTwo.Points[0][0].Float64, ShouldEqual, 2)
|
||||
So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesTwo.Points[1][0].Float64, ShouldEqual, 8)
|
||||
So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "server1")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
frame = dataframes[1]
|
||||
require.Equal(t, frame.Name, "server2")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
})
|
||||
|
||||
Convey("Single group by query two metrics", func() {
|
||||
t.Run("Single group by query two metrics", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -226,48 +235,51 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Series, ShouldHaveLength, 4)
|
||||
seriesOne := queryRes.Series[0]
|
||||
So(seriesOne.Name, ShouldEqual, "server1 Count")
|
||||
So(seriesOne.Points, ShouldHaveLength, 2)
|
||||
So(seriesOne.Points[0][0].Float64, ShouldEqual, 1)
|
||||
So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesOne.Points[1][0].Float64, ShouldEqual, 3)
|
||||
So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 4)
|
||||
|
||||
seriesTwo := queryRes.Series[1]
|
||||
So(seriesTwo.Name, ShouldEqual, "server1 Average @value")
|
||||
So(seriesTwo.Points, ShouldHaveLength, 2)
|
||||
So(seriesTwo.Points[0][0].Float64, ShouldEqual, 10)
|
||||
So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesTwo.Points[1][0].Float64, ShouldEqual, 12)
|
||||
So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "server1 Count")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
seriesThree := queryRes.Series[2]
|
||||
So(seriesThree.Name, ShouldEqual, "server2 Count")
|
||||
So(seriesThree.Points, ShouldHaveLength, 2)
|
||||
So(seriesThree.Points[0][0].Float64, ShouldEqual, 1)
|
||||
So(seriesThree.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesThree.Points[1][0].Float64, ShouldEqual, 3)
|
||||
So(seriesThree.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame = dataframes[1]
|
||||
require.Equal(t, frame.Name, "server1 Average @value")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
seriesFour := queryRes.Series[3]
|
||||
So(seriesFour.Name, ShouldEqual, "server2 Average @value")
|
||||
So(seriesFour.Points, ShouldHaveLength, 2)
|
||||
So(seriesFour.Points[0][0].Float64, ShouldEqual, 20)
|
||||
So(seriesFour.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesFour.Points[1][0].Float64, ShouldEqual, 32)
|
||||
So(seriesFour.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame = dataframes[2]
|
||||
require.Equal(t, frame.Name, "server2 Count")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
frame = dataframes[3]
|
||||
require.Equal(t, frame.Name, "server2 Average @value")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
})
|
||||
|
||||
Convey("With percentiles", func() {
|
||||
t.Run("With percentiles", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -298,32 +310,35 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Series, ShouldHaveLength, 2)
|
||||
seriesOne := queryRes.Series[0]
|
||||
So(seriesOne.Name, ShouldEqual, "p75")
|
||||
So(seriesOne.Points, ShouldHaveLength, 2)
|
||||
So(seriesOne.Points[0][0].Float64, ShouldEqual, 3.3)
|
||||
So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesOne.Points[1][0].Float64, ShouldEqual, 2.3)
|
||||
So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 2)
|
||||
|
||||
seriesTwo := queryRes.Series[1]
|
||||
So(seriesTwo.Name, ShouldEqual, "p90")
|
||||
So(seriesTwo.Points, ShouldHaveLength, 2)
|
||||
So(seriesTwo.Points[0][0].Float64, ShouldEqual, 5.5)
|
||||
So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesTwo.Points[1][0].Float64, ShouldEqual, 4.5)
|
||||
So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "p75")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
frame = dataframes[1]
|
||||
require.Equal(t, frame.Name, "p90")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
})
|
||||
|
||||
Convey("With extended stats", func() {
|
||||
t.Run("With extended stats", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -379,53 +394,67 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Series, ShouldHaveLength, 6)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 6)
|
||||
|
||||
seriesOne := queryRes.Series[0]
|
||||
So(seriesOne.Name, ShouldEqual, "server1 Max")
|
||||
So(seriesOne.Points, ShouldHaveLength, 1)
|
||||
So(seriesOne.Points[0][0].Float64, ShouldEqual, 10.2)
|
||||
So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "server1 Max")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 1)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 1)
|
||||
|
||||
seriesTwo := queryRes.Series[1]
|
||||
So(seriesTwo.Name, ShouldEqual, "server1 Std Dev Lower")
|
||||
So(seriesTwo.Points, ShouldHaveLength, 1)
|
||||
So(seriesTwo.Points[0][0].Float64, ShouldEqual, -2)
|
||||
So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
frame = dataframes[1]
|
||||
require.Equal(t, frame.Name, "server1 Std Dev Lower")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 1)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 1)
|
||||
|
||||
seriesThree := queryRes.Series[2]
|
||||
So(seriesThree.Name, ShouldEqual, "server1 Std Dev Upper")
|
||||
So(seriesThree.Points, ShouldHaveLength, 1)
|
||||
So(seriesThree.Points[0][0].Float64, ShouldEqual, 3)
|
||||
So(seriesThree.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
frame = dataframes[2]
|
||||
require.Equal(t, frame.Name, "server1 Std Dev Upper")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 1)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 1)
|
||||
|
||||
seriesFour := queryRes.Series[3]
|
||||
So(seriesFour.Name, ShouldEqual, "server2 Max")
|
||||
So(seriesFour.Points, ShouldHaveLength, 1)
|
||||
So(seriesFour.Points[0][0].Float64, ShouldEqual, 15.5)
|
||||
So(seriesFour.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
frame = dataframes[3]
|
||||
require.Equal(t, frame.Name, "server2 Max")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 1)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 1)
|
||||
|
||||
seriesFive := queryRes.Series[4]
|
||||
So(seriesFive.Name, ShouldEqual, "server2 Std Dev Lower")
|
||||
So(seriesFive.Points, ShouldHaveLength, 1)
|
||||
So(seriesFive.Points[0][0].Float64, ShouldEqual, -1)
|
||||
So(seriesFive.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
frame = dataframes[4]
|
||||
require.Equal(t, frame.Name, "server2 Std Dev Lower")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 1)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 1)
|
||||
|
||||
seriesSix := queryRes.Series[5]
|
||||
So(seriesSix.Name, ShouldEqual, "server2 Std Dev Upper")
|
||||
So(seriesSix.Points, ShouldHaveLength, 1)
|
||||
So(seriesSix.Points[0][0].Float64, ShouldEqual, 4)
|
||||
So(seriesSix.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
frame = dataframes[5]
|
||||
require.Equal(t, frame.Name, "server2 Std Dev Upper")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 1)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 1)
|
||||
})
|
||||
|
||||
Convey("Single group by with alias pattern", func() {
|
||||
t.Run("Single group by with alias pattern", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -471,41 +500,43 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Series, ShouldHaveLength, 3)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 3)
|
||||
|
||||
seriesOne := queryRes.Series[0]
|
||||
So(seriesOne.Name, ShouldEqual, "server1 Count and {{not_exist}} server1")
|
||||
So(seriesOne.Points, ShouldHaveLength, 2)
|
||||
So(seriesOne.Points[0][0].Float64, ShouldEqual, 1)
|
||||
So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesOne.Points[1][0].Float64, ShouldEqual, 3)
|
||||
So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "server1 Count and {{not_exist}} server1")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
seriesTwo := queryRes.Series[1]
|
||||
So(seriesTwo.Name, ShouldEqual, "server2 Count and {{not_exist}} server2")
|
||||
So(seriesTwo.Points, ShouldHaveLength, 2)
|
||||
So(seriesTwo.Points[0][0].Float64, ShouldEqual, 2)
|
||||
So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesTwo.Points[1][0].Float64, ShouldEqual, 8)
|
||||
So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame = dataframes[1]
|
||||
require.Equal(t, frame.Name, "server2 Count and {{not_exist}} server2")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
seriesThree := queryRes.Series[2]
|
||||
So(seriesThree.Name, ShouldEqual, "0 Count and {{not_exist}} 0")
|
||||
So(seriesThree.Points, ShouldHaveLength, 2)
|
||||
So(seriesThree.Points[0][0].Float64, ShouldEqual, 2)
|
||||
So(seriesThree.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesThree.Points[1][0].Float64, ShouldEqual, 8)
|
||||
So(seriesThree.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame = dataframes[2]
|
||||
require.Equal(t, frame.Name, "0 Count and {{not_exist}} 0")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
})
|
||||
|
||||
Convey("Histogram response", func() {
|
||||
t.Run("Histogram response", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -525,32 +556,19 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Tables, ShouldHaveLength, 1)
|
||||
|
||||
rows := queryRes.Tables[0].Rows
|
||||
So(rows, ShouldHaveLength, 3)
|
||||
cols := queryRes.Tables[0].Columns
|
||||
So(cols, ShouldHaveLength, 2)
|
||||
|
||||
So(cols[0].Text, ShouldEqual, "bytes")
|
||||
So(cols[1].Text, ShouldEqual, "Count")
|
||||
|
||||
So(rows[0][0].(null.Float).Float64, ShouldEqual, 1000)
|
||||
So(rows[0][1].(null.Float).Float64, ShouldEqual, 1)
|
||||
So(rows[1][0].(null.Float).Float64, ShouldEqual, 2000)
|
||||
So(rows[1][1].(null.Float).Float64, ShouldEqual, 3)
|
||||
So(rows[2][0].(null.Float).Float64, ShouldEqual, 3000)
|
||||
So(rows[2][1].(null.Float).Float64, ShouldEqual, 2)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 1)
|
||||
})
|
||||
|
||||
Convey("With two filters agg", func() {
|
||||
t.Run("With two filters agg", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -590,33 +608,35 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Series, ShouldHaveLength, 2)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 2)
|
||||
|
||||
seriesOne := queryRes.Series[0]
|
||||
So(seriesOne.Name, ShouldEqual, "@metric:cpu")
|
||||
So(seriesOne.Points, ShouldHaveLength, 2)
|
||||
So(seriesOne.Points[0][0].Float64, ShouldEqual, 1)
|
||||
So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesOne.Points[1][0].Float64, ShouldEqual, 3)
|
||||
So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "@metric:cpu")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
seriesTwo := queryRes.Series[1]
|
||||
So(seriesTwo.Name, ShouldEqual, "@metric:logins.count")
|
||||
So(seriesTwo.Points, ShouldHaveLength, 2)
|
||||
So(seriesTwo.Points[0][0].Float64, ShouldEqual, 2)
|
||||
So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesTwo.Points[1][0].Float64, ShouldEqual, 8)
|
||||
So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame = dataframes[1]
|
||||
require.Equal(t, frame.Name, "@metric:logins.count")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
})
|
||||
|
||||
Convey("With dropfirst and last aggregation", func() {
|
||||
t.Run("With dropfirst and last aggregation", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -659,29 +679,35 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Series, ShouldHaveLength, 2)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 2)
|
||||
|
||||
seriesOne := queryRes.Series[0]
|
||||
So(seriesOne.Name, ShouldEqual, "Average")
|
||||
So(seriesOne.Points, ShouldHaveLength, 1)
|
||||
So(seriesOne.Points[0][0].Float64, ShouldEqual, 2000)
|
||||
So(seriesOne.Points[0][1].Float64, ShouldEqual, 2)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "Average")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
seriesTwo := queryRes.Series[1]
|
||||
So(seriesTwo.Name, ShouldEqual, "Count")
|
||||
So(seriesTwo.Points, ShouldHaveLength, 1)
|
||||
So(seriesTwo.Points[0][0].Float64, ShouldEqual, 200)
|
||||
So(seriesTwo.Points[0][1].Float64, ShouldEqual, 2)
|
||||
frame = dataframes[1]
|
||||
require.Equal(t, frame.Name, "Count")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
})
|
||||
|
||||
Convey("No group by time", func() {
|
||||
t.Run("No group by time", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -712,33 +738,29 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Tables, ShouldHaveLength, 1)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 1)
|
||||
|
||||
rows := queryRes.Tables[0].Rows
|
||||
So(rows, ShouldHaveLength, 2)
|
||||
cols := queryRes.Tables[0].Columns
|
||||
So(cols, ShouldHaveLength, 3)
|
||||
|
||||
So(cols[0].Text, ShouldEqual, "host")
|
||||
So(cols[1].Text, ShouldEqual, "Average")
|
||||
So(cols[2].Text, ShouldEqual, "Count")
|
||||
|
||||
So(rows[0][0].(string), ShouldEqual, "server-1")
|
||||
So(rows[0][1].(null.Float).Float64, ShouldEqual, 1000)
|
||||
So(rows[0][2].(null.Float).Float64, ShouldEqual, 369)
|
||||
So(rows[1][0].(string), ShouldEqual, "server-2")
|
||||
So(rows[1][1].(null.Float).Float64, ShouldEqual, 2000)
|
||||
So(rows[1][2].(null.Float).Float64, ShouldEqual, 200)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "")
|
||||
require.Len(t, frame.Fields, 3)
|
||||
require.Equal(t, frame.Fields[0].Name, "host")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "Average")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
require.Equal(t, frame.Fields[2].Name, "Count")
|
||||
require.Equal(t, frame.Fields[2].Len(), 2)
|
||||
})
|
||||
|
||||
Convey("Multiple metrics of same type", func() {
|
||||
t.Run("Multiple metrics of same type", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -765,30 +787,29 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Tables, ShouldHaveLength, 1)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 1)
|
||||
|
||||
rows := queryRes.Tables[0].Rows
|
||||
So(rows, ShouldHaveLength, 1)
|
||||
cols := queryRes.Tables[0].Columns
|
||||
So(cols, ShouldHaveLength, 3)
|
||||
|
||||
So(cols[0].Text, ShouldEqual, "host")
|
||||
So(cols[1].Text, ShouldEqual, "Average test")
|
||||
So(cols[2].Text, ShouldEqual, "Average test2")
|
||||
|
||||
So(rows[0][0].(string), ShouldEqual, "server-1")
|
||||
So(rows[0][1].(null.Float).Float64, ShouldEqual, 1000)
|
||||
So(rows[0][2].(null.Float).Float64, ShouldEqual, 3000)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "")
|
||||
require.Len(t, frame.Fields, 3)
|
||||
require.Equal(t, frame.Fields[0].Name, "host")
|
||||
require.Equal(t, frame.Fields[0].Len(), 1)
|
||||
require.Equal(t, frame.Fields[1].Name, "Average test")
|
||||
require.Equal(t, frame.Fields[1].Len(), 1)
|
||||
require.Equal(t, frame.Fields[2].Name, "Average test2")
|
||||
require.Equal(t, frame.Fields[2].Len(), 1)
|
||||
})
|
||||
|
||||
Convey("With bucket_script", func() {
|
||||
t.Run("With bucket_script", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -833,40 +854,43 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Series, ShouldHaveLength, 3)
|
||||
seriesOne := queryRes.Series[0]
|
||||
So(seriesOne.Name, ShouldEqual, "Sum @value")
|
||||
So(seriesOne.Points, ShouldHaveLength, 2)
|
||||
So(seriesOne.Points[0][0].Float64, ShouldEqual, 2)
|
||||
So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesOne.Points[1][0].Float64, ShouldEqual, 3)
|
||||
So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 3)
|
||||
|
||||
seriesTwo := queryRes.Series[1]
|
||||
So(seriesTwo.Name, ShouldEqual, "Max @value")
|
||||
So(seriesTwo.Points, ShouldHaveLength, 2)
|
||||
So(seriesTwo.Points[0][0].Float64, ShouldEqual, 3)
|
||||
So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesTwo.Points[1][0].Float64, ShouldEqual, 4)
|
||||
So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "Sum @value")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
seriesThree := queryRes.Series[2]
|
||||
So(seriesThree.Name, ShouldEqual, "Sum @value * Max @value")
|
||||
So(seriesThree.Points, ShouldHaveLength, 2)
|
||||
So(seriesThree.Points[0][0].Float64, ShouldEqual, 6)
|
||||
So(seriesThree.Points[0][1].Float64, ShouldEqual, 1000)
|
||||
So(seriesThree.Points[1][0].Float64, ShouldEqual, 12)
|
||||
So(seriesThree.Points[1][1].Float64, ShouldEqual, 2000)
|
||||
frame = dataframes[1]
|
||||
require.Equal(t, frame.Name, "Max @value")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
|
||||
frame = dataframes[2]
|
||||
require.Equal(t, frame.Name, "Sum @value * Max @value")
|
||||
require.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Name, "time")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "value")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
})
|
||||
|
||||
Convey("Terms with two bucket_script", func() {
|
||||
t.Run("Terms with two bucket_script", func(t *testing.T) {
|
||||
targets := map[string]string{
|
||||
"A": `{
|
||||
"timeField": "@timestamp",
|
||||
@ -920,78 +944,31 @@ func TestResponseParser(t *testing.T) {
|
||||
]
|
||||
}`
|
||||
rp, err := newResponseParserForTest(targets, response)
|
||||
So(err, ShouldBeNil)
|
||||
require.NoError(t, err)
|
||||
result, err := rp.getTimeSeries()
|
||||
So(err, ShouldBeNil)
|
||||
So(result.Results, ShouldHaveLength, 1)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, result.Results, 1)
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
So(queryRes, ShouldNotBeNil)
|
||||
So(queryRes.Tables[0].Rows, ShouldHaveLength, 2)
|
||||
So(queryRes.Tables[0].Columns[1].Text, ShouldEqual, "Sum")
|
||||
So(queryRes.Tables[0].Columns[2].Text, ShouldEqual, "Max")
|
||||
So(queryRes.Tables[0].Columns[3].Text, ShouldEqual, "params.var1 * params.var2")
|
||||
So(queryRes.Tables[0].Columns[4].Text, ShouldEqual, "params.var1 * params.var2 * 2")
|
||||
So(queryRes.Tables[0].Rows[0][1].(null.Float).Float64, ShouldEqual, 2)
|
||||
So(queryRes.Tables[0].Rows[0][2].(null.Float).Float64, ShouldEqual, 3)
|
||||
So(queryRes.Tables[0].Rows[0][3].(null.Float).Float64, ShouldEqual, 6)
|
||||
So(queryRes.Tables[0].Rows[0][4].(null.Float).Float64, ShouldEqual, 24)
|
||||
So(queryRes.Tables[0].Rows[1][1].(null.Float).Float64, ShouldEqual, 3)
|
||||
So(queryRes.Tables[0].Rows[1][2].(null.Float).Float64, ShouldEqual, 4)
|
||||
So(queryRes.Tables[0].Rows[1][3].(null.Float).Float64, ShouldEqual, 12)
|
||||
So(queryRes.Tables[0].Rows[1][4].(null.Float).Float64, ShouldEqual, 48)
|
||||
require.NotNil(t, queryRes)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
require.NoError(t, err)
|
||||
require.Len(t, dataframes, 1)
|
||||
|
||||
frame := dataframes[0]
|
||||
require.Equal(t, frame.Name, "")
|
||||
require.Len(t, frame.Fields, 5)
|
||||
require.Equal(t, frame.Fields[0].Name, "@timestamp")
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Name, "Sum")
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
require.Equal(t, frame.Fields[2].Name, "Max")
|
||||
require.Equal(t, frame.Fields[2].Len(), 2)
|
||||
require.Equal(t, frame.Fields[3].Name, "params.var1 * params.var2")
|
||||
require.Equal(t, frame.Fields[3].Len(), 2)
|
||||
require.Equal(t, frame.Fields[4].Name, "params.var1 * params.var2 * 2")
|
||||
require.Equal(t, frame.Fields[4].Len(), 2)
|
||||
})
|
||||
// Convey("Raw documents query", func() {
|
||||
// targets := map[string]string{
|
||||
// "A": `{
|
||||
// "timeField": "@timestamp",
|
||||
// "metrics": [{ "type": "raw_document", "id": "1" }]
|
||||
// }`,
|
||||
// }
|
||||
// response := `{
|
||||
// "responses": [
|
||||
// {
|
||||
// "hits": {
|
||||
// "total": 100,
|
||||
// "hits": [
|
||||
// {
|
||||
// "_id": "1",
|
||||
// "_type": "type",
|
||||
// "_index": "index",
|
||||
// "_source": { "sourceProp": "asd" },
|
||||
// "fields": { "fieldProp": "field" }
|
||||
// },
|
||||
// {
|
||||
// "_source": { "sourceProp": "asd2" },
|
||||
// "fields": { "fieldProp": "field2" }
|
||||
// }
|
||||
// ]
|
||||
// }
|
||||
// }
|
||||
// ]
|
||||
// }`
|
||||
// rp, err := newResponseParserForTest(targets, response)
|
||||
// So(err, ShouldBeNil)
|
||||
// result, err := rp.getTimeSeries()
|
||||
// So(err, ShouldBeNil)
|
||||
// So(result.Results, ShouldHaveLength, 1)
|
||||
|
||||
// queryRes := result.Results["A"]
|
||||
// So(queryRes, ShouldNotBeNil)
|
||||
// So(queryRes.Tables, ShouldHaveLength, 1)
|
||||
|
||||
// rows := queryRes.Tables[0].Rows
|
||||
// So(rows, ShouldHaveLength, 1)
|
||||
// cols := queryRes.Tables[0].Columns
|
||||
// So(cols, ShouldHaveLength, 3)
|
||||
|
||||
// So(cols[0].Text, ShouldEqual, "host")
|
||||
// So(cols[1].Text, ShouldEqual, "Average test")
|
||||
// So(cols[2].Text, ShouldEqual, "Average test2")
|
||||
|
||||
// So(rows[0][0].(string), ShouldEqual, "server-1")
|
||||
// So(rows[0][1].(null.Float).Float64, ShouldEqual, 1000)
|
||||
// So(rows[0][2].(null.Float).Float64, ShouldEqual, 3000)
|
||||
// })
|
||||
})
|
||||
|
||||
t.Run("With top_metrics", func(t *testing.T) {
|
||||
@ -1048,24 +1025,41 @@ func TestResponseParser(t *testing.T) {
|
||||
|
||||
queryRes := result.Results["A"]
|
||||
assert.NotNil(t, queryRes)
|
||||
assert.Len(t, queryRes.Series, 2)
|
||||
dataframes, err := queryRes.Dataframes.Decoded()
|
||||
assert.NoError(t, err)
|
||||
assert.Len(t, dataframes, 2)
|
||||
|
||||
seriesOne := queryRes.Series[0]
|
||||
assert.Equal(t, seriesOne.Name, "Top Metrics @value")
|
||||
assert.Len(t, seriesOne.Points, 2)
|
||||
assert.Equal(t, seriesOne.Points[0][0].Float64, 1.)
|
||||
assert.Equal(t, seriesOne.Points[0][1].Float64, 1609459200000.)
|
||||
assert.Equal(t, seriesOne.Points[1][0].Float64, 1.)
|
||||
assert.Equal(t, seriesOne.Points[1][1].Float64, 1609459210000.)
|
||||
frame := dataframes[0]
|
||||
assert.Equal(t, frame.Name, "Top Metrics @value")
|
||||
assert.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
v, _ := frame.FloatAt(0, 0)
|
||||
assert.Equal(t, 1609459200000., v)
|
||||
v, _ = frame.FloatAt(1, 0)
|
||||
assert.Equal(t, 1., v)
|
||||
|
||||
seriesTwo := queryRes.Series[1]
|
||||
assert.Equal(t, seriesTwo.Name, "Top Metrics @anotherValue")
|
||||
assert.Len(t, seriesTwo.Points, 2)
|
||||
v, _ = frame.FloatAt(0, 1)
|
||||
assert.Equal(t, 1609459210000., v)
|
||||
v, _ = frame.FloatAt(1, 1)
|
||||
assert.Equal(t, 1., v)
|
||||
|
||||
assert.Equal(t, seriesTwo.Points[0][0].Float64, 2.)
|
||||
assert.Equal(t, seriesTwo.Points[0][1].Float64, 1609459200000.)
|
||||
assert.Equal(t, seriesTwo.Points[1][0].Float64, 2.)
|
||||
assert.Equal(t, seriesTwo.Points[1][1].Float64, 1609459210000.)
|
||||
frame = dataframes[1]
|
||||
assert.Equal(t, frame.Name, "Top Metrics @anotherValue")
|
||||
l, _ := frame.MarshalJSON()
|
||||
fmt.Println(string(l))
|
||||
assert.Len(t, frame.Fields, 2)
|
||||
require.Equal(t, frame.Fields[0].Len(), 2)
|
||||
require.Equal(t, frame.Fields[1].Len(), 2)
|
||||
v, _ = frame.FloatAt(0, 0)
|
||||
assert.Equal(t, 1609459200000., v)
|
||||
v, _ = frame.FloatAt(1, 0)
|
||||
assert.Equal(t, 2., v)
|
||||
|
||||
v, _ = frame.FloatAt(0, 1)
|
||||
assert.Equal(t, 1609459210000., v)
|
||||
v, _ = frame.FloatAt(1, 1)
|
||||
assert.Equal(t, 2., v)
|
||||
})
|
||||
}
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user