mirror of https://github.com/grafana/grafana.git
1865 lines
59 KiB
Go
1865 lines
59 KiB
Go
package elasticsearch
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import (
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"encoding/json"
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"testing"
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"time"
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"github.com/grafana/grafana-plugin-sdk-go/backend"
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es "github.com/grafana/grafana/pkg/tsdb/elasticsearch/client"
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"github.com/grafana/grafana/pkg/tsdb/intervalv2"
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"github.com/stretchr/testify/assert"
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"github.com/stretchr/testify/require"
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)
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func TestExecuteTimeSeriesQuery(t *testing.T) {
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from := time.Date(2018, 5, 15, 17, 50, 0, 0, time.UTC)
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to := time.Date(2018, 5, 15, 17, 55, 0, 0, time.UTC)
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fromMs := from.UnixNano() / int64(time.Millisecond)
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toMs := to.UnixNano() / int64(time.Millisecond)
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t.Run("Test execute time series query", func(t *testing.T) {
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t.Run("With defaults", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [{ "type": "date_histogram", "field": "@timestamp", "id": "2" }],
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"metrics": [{"type": "count", "id": "0" }]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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rangeFilter := sr.Query.Bool.Filters[0].(*es.RangeFilter)
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require.Equal(t, rangeFilter.Key, c.timeField)
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require.Equal(t, rangeFilter.Lte, toMs)
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require.Equal(t, rangeFilter.Gte, fromMs)
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require.Equal(t, rangeFilter.Format, es.DateFormatEpochMS)
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require.Equal(t, sr.Aggs[0].Key, "2")
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dateHistogramAgg := sr.Aggs[0].Aggregation.Aggregation.(*es.DateHistogramAgg)
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require.Equal(t, dateHistogramAgg.Field, "@timestamp")
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require.Equal(t, dateHistogramAgg.ExtendedBounds.Min, fromMs)
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require.Equal(t, dateHistogramAgg.ExtendedBounds.Max, toMs)
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})
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t.Run("Should clean settings from null values (from frontend tests)", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [{ "type": "date_histogram", "field": "@timestamp", "id": "1" }],
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"metrics": [{"type": "avg", "id": "0", "settings": {"missing": "null", "script": "1" } }]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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firstLevel := sr.Aggs[0]
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secondLevel := firstLevel.Aggregation.Aggs[0]
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require.Equal(t, secondLevel.Aggregation.Aggregation.(*es.MetricAggregation).Settings["script"], "1")
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// FIXME: This is a bug in implementation, missing is set to "null" instead of being removed
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// require.Equal(t, secondLevel.Aggregation.Aggregation.(*es.MetricAggregation).Settings["missing"], nil)
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})
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t.Run("With multiple bucket aggs", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{ "type": "terms", "field": "@host", "id": "2", "settings": { "size": "0", "order": "asc" } },
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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],
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"metrics": [{"type": "count", "id": "1" }]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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firstLevel := sr.Aggs[0]
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require.Equal(t, firstLevel.Key, "2")
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termsAgg := firstLevel.Aggregation.Aggregation.(*es.TermsAggregation)
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require.Equal(t, termsAgg.Field, "@host")
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require.Equal(t, termsAgg.Size, 500)
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secondLevel := firstLevel.Aggregation.Aggs[0]
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require.Equal(t, secondLevel.Key, "3")
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require.Equal(t, secondLevel.Aggregation.Aggregation.(*es.DateHistogramAgg).Field, "@timestamp")
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})
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t.Run("With select field", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{ "type": "date_histogram", "field": "@timestamp", "id": "2" }
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],
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"metrics": [{"type": "avg", "field": "@value", "id": "1" }]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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firstLevel := sr.Aggs[0]
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require.Equal(t, firstLevel.Key, "2")
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require.Equal(t, firstLevel.Aggregation.Aggregation.(*es.DateHistogramAgg).Field, "@timestamp")
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secondLevel := firstLevel.Aggregation.Aggs[0]
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require.Equal(t, secondLevel.Key, "1")
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require.Equal(t, secondLevel.Aggregation.Type, "avg")
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require.Equal(t, secondLevel.Aggregation.Aggregation.(*es.MetricAggregation).Field, "@value")
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})
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t.Run("With term agg and order by term (from frontend tests)", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{
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"type": "terms",
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"field": "@host",
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"id": "2",
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"settings": { "size": "5", "order": "asc", "orderBy": "_term" }
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},
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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],
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"metrics": [
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{"type": "count", "id": "1" },
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{"type": "avg", "field": "@value", "id": "5" }
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]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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firstLevel := sr.Aggs[0]
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require.Equal(t, firstLevel.Aggregation.Aggregation.(*es.TermsAggregation).Order["_key"], "asc")
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})
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t.Run("With term agg and order by metric agg", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{
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"type": "terms",
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"field": "@host",
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"id": "2",
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"settings": { "size": "5", "order": "asc", "orderBy": "5" }
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},
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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],
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"metrics": [
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{"type": "count", "id": "1" },
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{"type": "avg", "field": "@value", "id": "5" }
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]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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avgAggOrderBy := sr.Aggs[0].Aggregation.Aggs[0]
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require.Equal(t, avgAggOrderBy.Key, "5")
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require.Equal(t, avgAggOrderBy.Aggregation.Type, "avg")
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require.Equal(t, avgAggOrderBy.Aggregation.Aggregation.(*es.MetricAggregation).Field, "@value")
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avgAgg := sr.Aggs[0].Aggregation.Aggs[1].Aggregation.Aggs[0]
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require.Equal(t, avgAgg.Key, "5")
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require.Equal(t, avgAgg.Aggregation.Type, "avg")
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require.Equal(t, avgAgg.Aggregation.Aggregation.(*es.MetricAggregation).Field, "@value")
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})
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t.Run("With term agg and order by count metric agg", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{
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"type": "terms",
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"field": "@host",
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"id": "2",
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"settings": { "size": "5", "order": "asc", "orderBy": "1" }
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},
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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],
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"metrics": [
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{"type": "count", "id": "1" }
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]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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termsAgg := sr.Aggs[0].Aggregation.Aggregation.(*es.TermsAggregation)
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require.Equal(t, termsAgg.Order["_count"], "asc")
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})
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t.Run("With term agg and order by count agg (from frontend tests)", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"metrics": [
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{"type": "count", "id": "1" },
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{"type": "avg", "field": "@value", "id": "5" }
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],
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"bucketAggs": [
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{
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"type": "terms",
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"field": "@host",
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"id": "2",
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"settings": { "size": "5", "order": "asc", "orderBy": "1" }
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},
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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firstLevel := sr.Aggs[0]
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termsAgg := firstLevel.Aggregation.Aggregation.(*es.TermsAggregation)
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require.Equal(t, termsAgg.Order["_count"], "asc")
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require.NotEqual(t, firstLevel.Aggregation.Aggs[0].Key, "1")
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})
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t.Run("With term agg and order by percentiles agg", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{
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"type": "terms",
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"field": "@host",
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"id": "2",
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"settings": { "size": "5", "order": "asc", "orderBy": "1[95.0]" }
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},
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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],
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"metrics": [
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{"type": "percentiles", "field": "@value", "id": "1", "settings": { "percents": ["95","99"] } }
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]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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orderByAgg := sr.Aggs[0].Aggregation.Aggs[0]
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secondLevel := orderByAgg.Aggregation.Aggregation
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require.Equal(t, orderByAgg.Key, "1")
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require.Equal(t, orderByAgg.Aggregation.Type, "percentiles")
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require.Equal(t, orderByAgg.Aggregation.Aggregation.(*es.MetricAggregation).Field, "@value")
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require.Equal(t, secondLevel.(*es.MetricAggregation).Field, "@value")
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})
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t.Run("With term agg and order by extended stats agg", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{
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"type": "terms",
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"field": "@host",
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"id": "2",
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"settings": { "size": "5", "order": "asc", "orderBy": "1[std_deviation]" }
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},
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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],
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"metrics": [
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{"type": "extended_stats", "field": "@value", "id": "1", "meta": { "std_deviation": true } }
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]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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firstLevel := sr.Aggs[0]
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orderByAgg := firstLevel.Aggregation.Aggs[0]
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secondLevel := orderByAgg.Aggregation.Aggregation
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require.Equal(t, orderByAgg.Key, "1")
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require.Equal(t, orderByAgg.Aggregation.Type, "extended_stats")
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require.Equal(t, orderByAgg.Aggregation.Aggregation.(*es.MetricAggregation).Field, "@value")
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require.Equal(t, secondLevel.(*es.MetricAggregation).Field, "@value")
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})
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t.Run("With term agg and order by term", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{
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"type": "terms",
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"field": "@host",
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"id": "2",
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"settings": { "size": "5", "order": "asc", "orderBy": "_term" }
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},
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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],
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"metrics": [
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{"type": "count", "id": "1" },
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{"type": "avg", "field": "@value", "id": "5" }
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]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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firstLevel := sr.Aggs[0]
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require.Equal(t, firstLevel.Key, "2")
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termsAgg := firstLevel.Aggregation.Aggregation.(*es.TermsAggregation)
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require.Equal(t, termsAgg.Order["_key"], "asc")
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})
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t.Run("With term agg and valid min_doc_count (from frontend tests)", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{
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"type": "terms",
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"field": "@host",
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"id": "2",
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"settings": { "min_doc_count": "1" }
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},
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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],
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"metrics": [
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{"type": "count", "id": "1" }
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]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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firstLevel := sr.Aggs[0]
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require.Equal(t, firstLevel.Key, "2")
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// FIXME: This is a bug in the current implementation. The min_doc_count is not set.
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// termsAgg := firstLevel.Aggregation.Aggregation.(*es.TermsAggregation)
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// require.Equal(t, termsAgg.MinDocCount, "1")
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})
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t.Run("With metric percentiles", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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],
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"metrics": [
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{
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"id": "1",
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"type": "percentiles",
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"field": "@load_time",
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"settings": {
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"percents": [ "1", "2", "3", "4" ]
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}
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}
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]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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percentilesAgg := sr.Aggs[0].Aggregation.Aggs[0]
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require.Equal(t, percentilesAgg.Key, "1")
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require.Equal(t, percentilesAgg.Aggregation.Type, "percentiles")
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metricAgg := percentilesAgg.Aggregation.Aggregation.(*es.MetricAggregation)
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require.Equal(t, metricAgg.Field, "@load_time")
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percents := metricAgg.Settings["percents"].([]interface{})
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require.Len(t, percents, 4)
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require.Equal(t, percents[0], "1")
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require.Equal(t, percents[1], "2")
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require.Equal(t, percents[2], "3")
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require.Equal(t, percents[3], "4")
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})
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t.Run("With filters aggs", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{
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"id": "2",
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"type": "filters",
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"settings": {
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"filters": [ { "query": "@metric:cpu" }, { "query": "@metric:logins.count" } ]
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}
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},
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{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
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],
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"metrics": [{"type": "count", "id": "1" }]
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}`, from, to, 15*time.Second)
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require.NoError(t, err)
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sr := c.multisearchRequests[0].Requests[0]
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filtersAgg := sr.Aggs[0]
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require.Equal(t, filtersAgg.Key, "2")
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require.Equal(t, filtersAgg.Aggregation.Type, "filters")
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fAgg := filtersAgg.Aggregation.Aggregation.(*es.FiltersAggregation)
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require.Equal(t, fAgg.Filters["@metric:cpu"].(*es.QueryStringFilter).Query, "@metric:cpu")
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require.Equal(t, fAgg.Filters["@metric:logins.count"].(*es.QueryStringFilter).Query, "@metric:logins.count")
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dateHistogramAgg := sr.Aggs[0].Aggregation.Aggs[0]
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require.Equal(t, dateHistogramAgg.Key, "4")
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require.Equal(t, dateHistogramAgg.Aggregation.Aggregation.(*es.DateHistogramAgg).Field, "@timestamp")
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})
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t.Run("With filters aggs and empty label (from frontend tests)", func(t *testing.T) {
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c := newFakeClient()
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [
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{
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"id": "2",
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"type": "filters",
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"settings": {
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"filters": [ { "query": "@metric:cpu", "label": "" }, { "query": "@metric:logins.count", "label": "" } ]
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}
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},
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{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
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],
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"metrics": [{"type": "count", "id": "1" }]
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}`, from, to, 15*time.Second)
|
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require.NoError(t, err)
|
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sr := c.multisearchRequests[0].Requests[0]
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filtersAgg := sr.Aggs[0]
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require.Equal(t, filtersAgg.Key, "2")
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require.Equal(t, filtersAgg.Aggregation.Type, "filters")
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fAgg := filtersAgg.Aggregation.Aggregation.(*es.FiltersAggregation)
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require.Equal(t, fAgg.Filters["@metric:cpu"].(*es.QueryStringFilter).Query, "@metric:cpu")
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require.Equal(t, fAgg.Filters["@metric:logins.count"].(*es.QueryStringFilter).Query, "@metric:logins.count")
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dateHistogramAgg := sr.Aggs[0].Aggregation.Aggs[0]
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require.Equal(t, dateHistogramAgg.Key, "4")
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require.Equal(t, dateHistogramAgg.Aggregation.Aggregation.(*es.DateHistogramAgg).Field, "@timestamp")
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})
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|
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t.Run("With raw document metric size", func(t *testing.T) {
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c := newFakeClient()
|
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_, err := executeTsdbQuery(c, `{
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"timeField": "@timestamp",
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"bucketAggs": [],
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"metrics": [{ "id": "1", "type": "raw_document", "settings": {} }]
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}`, from, to, 15*time.Second)
|
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require.NoError(t, err)
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|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
require.Equal(t, sr.Size, 500)
|
|
})
|
|
|
|
t.Run("With raw document metric query (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [],
|
|
"metrics": [{ "id": "1", "type": "raw_document", "settings": {} }]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
// FIXME: { _doc: { order: 'desc' } } is missing
|
|
// sr := c.multisearchRequests[0].Requests[0]
|
|
// require.Equal(t, sr, `{"docvalue_fields":["@timestamp"],"query":{"bool":{"filter":{"range":{"@timestamp":{"format":"epoch_millis","gte":1526406600000,"lte":1526406900000}}}}},"script_fields":{},"size":500,"sort":[{"@timestamp":{"order":"desc","unmapped_type":"boolean"}}, {"_doc": {"order": "desc"}}]}`)
|
|
})
|
|
|
|
t.Run("With raw document metric size set", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [],
|
|
"metrics": [{ "id": "1", "type": "raw_document", "settings": { "size": 1337 } }]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
require.Equal(t, sr.Size, 1337)
|
|
})
|
|
|
|
t.Run("With date histogram agg", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{
|
|
"id": "2",
|
|
"type": "date_histogram",
|
|
"field": "@timestamp",
|
|
"settings": { "interval": "auto", "min_doc_count": 2 }
|
|
}
|
|
],
|
|
"metrics": [{"type": "count", "id": "1" }]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "2")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
hAgg := firstLevel.Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
require.Equal(t, hAgg.Field, "@timestamp")
|
|
require.Equal(t, hAgg.FixedInterval, "$__interval_msms")
|
|
require.Equal(t, hAgg.MinDocCount, 2)
|
|
|
|
t.Run("Should not include time_zone if not present in the query model (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{
|
|
"id": "2",
|
|
"type": "date_histogram",
|
|
"field": "@timestamp",
|
|
"settings": {
|
|
"min_doc_count": "1"
|
|
}
|
|
}
|
|
],
|
|
"metrics": [{"type": "count", "id": "1" }]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
dateHistogram := sr.Aggs[0].Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
require.Empty(t, dateHistogram.TimeZone)
|
|
})
|
|
|
|
t.Run("Should not include time_zone when timeZone is utc", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{
|
|
"id": "2",
|
|
"type": "date_histogram",
|
|
"field": "@timestamp",
|
|
"settings": {
|
|
"timeZone": "utc"
|
|
}
|
|
}
|
|
],
|
|
"metrics": [{"type": "count", "id": "1" }]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
dateHistogram := sr.Aggs[0].Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
require.Empty(t, dateHistogram.TimeZone)
|
|
})
|
|
|
|
t.Run("Should include time_zone when timeZone is not utc", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{
|
|
"id": "2",
|
|
"type": "date_histogram",
|
|
"field": "@timestamp",
|
|
"settings": {
|
|
"timeZone": "America/Los_Angeles"
|
|
}
|
|
}
|
|
],
|
|
"metrics": [{"type": "count", "id": "1" }]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
dateHistogram := sr.Aggs[0].Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
require.Equal(t, dateHistogram.TimeZone, "America/Los_Angeles")
|
|
})
|
|
})
|
|
|
|
t.Run("With histogram agg", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{
|
|
"id": "3",
|
|
"type": "histogram",
|
|
"field": "bytes",
|
|
"settings": { "interval": 10, "min_doc_count": 2, "missing": 5 }
|
|
}
|
|
],
|
|
"metrics": [{"type": "count", "id": "1" }]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "3")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "histogram")
|
|
hAgg := firstLevel.Aggregation.Aggregation.(*es.HistogramAgg)
|
|
require.Equal(t, hAgg.Field, "bytes")
|
|
require.Equal(t, hAgg.Interval, 10)
|
|
require.Equal(t, hAgg.MinDocCount, 2)
|
|
require.Equal(t, *hAgg.Missing, 5)
|
|
})
|
|
|
|
t.Run("With histogram (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{
|
|
"id": "3",
|
|
"type": "histogram",
|
|
"field": "bytes",
|
|
"settings": { "interval": 10, "min_doc_count": 2 }
|
|
}
|
|
],
|
|
"metrics": [{"type": "count", "id": "1" }]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "3")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "histogram")
|
|
hAgg := firstLevel.Aggregation.Aggregation.(*es.HistogramAgg)
|
|
require.Equal(t, hAgg.Field, "bytes")
|
|
require.Equal(t, hAgg.Interval, 10)
|
|
require.Equal(t, hAgg.MinDocCount, 2)
|
|
})
|
|
|
|
t.Run("With geo hash grid agg", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{
|
|
"id": "3",
|
|
"type": "geohash_grid",
|
|
"field": "@location",
|
|
"settings": { "precision": 3 }
|
|
}
|
|
],
|
|
"metrics": [{"type": "count", "id": "1" }]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "3")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "geohash_grid")
|
|
ghGridAgg := firstLevel.Aggregation.Aggregation.(*es.GeoHashGridAggregation)
|
|
require.Equal(t, ghGridAgg.Field, "@location")
|
|
require.Equal(t, ghGridAgg.Precision, 3)
|
|
})
|
|
|
|
t.Run("With moving average (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "sum", "field": "@value" },
|
|
{
|
|
"id": "2",
|
|
"type": "moving_avg",
|
|
"field": "3"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
// FIXME: Currently this is 1 as movingAvg is completely missing. We have only sum.
|
|
// require.Equal(t, len(firstLevel.Aggregation.Aggs), 2)
|
|
|
|
sumAgg := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, sumAgg.Key, "3")
|
|
require.Equal(t, sumAgg.Aggregation.Type, "sum")
|
|
mAgg := sumAgg.Aggregation.Aggregation.(*es.MetricAggregation)
|
|
require.Equal(t, mAgg.Field, "@value")
|
|
|
|
// FIXME: This is currently fully missing
|
|
// in the test bellow with pipelineAgg it is working as expected
|
|
// movingAvgAgg := firstLevel.Aggregation.Aggs[1]
|
|
// require.Equal(t, movingAvgAgg.Key, "2")
|
|
// require.Equal(t, movingAvgAgg.Aggregation.Type, "moving_avg")
|
|
// pl := movingAvgAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
// require.Equal(t, pl.BucketPath, "3")
|
|
})
|
|
|
|
t.Run("With moving average", func(t *testing.T) {
|
|
// This test is with pipelineAgg and is passing. Same test without pipelineAgg is failing.
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "sum", "field": "@value" },
|
|
{
|
|
"id": "2",
|
|
"type": "moving_avg",
|
|
"field": "3",
|
|
"pipelineAgg": "3"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
require.Len(t, firstLevel.Aggregation.Aggs, 2)
|
|
|
|
sumAgg := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, sumAgg.Key, "3")
|
|
require.Equal(t, sumAgg.Aggregation.Type, "sum")
|
|
mAgg := sumAgg.Aggregation.Aggregation.(*es.MetricAggregation)
|
|
require.Equal(t, mAgg.Field, "@value")
|
|
|
|
movingAvgAgg := firstLevel.Aggregation.Aggs[1]
|
|
require.Equal(t, movingAvgAgg.Key, "2")
|
|
require.Equal(t, movingAvgAgg.Aggregation.Type, "moving_avg")
|
|
pl := movingAvgAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, pl.BucketPath, "3")
|
|
})
|
|
|
|
t.Run("With moving average doc count (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "count"},
|
|
{
|
|
"id": "2",
|
|
"type": "moving_avg",
|
|
"field": "3"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
// FIXME: Currently, movingAvg is completely missing
|
|
// in the test bellow with pipelineAgg it is working as expected
|
|
// require.Len(t, firstLevel.Aggregation.Aggs, 1)
|
|
|
|
// movingAvgAgg := firstLevel.Aggregation.Aggs[0]
|
|
// require.Equal(t, movingAvgAgg.Key, "2")
|
|
// require.Equal(t, movingAvgAgg.Aggregation.Type, "moving_avg")
|
|
// pl := movingAvgAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
// require.Equal(t, pl.BucketPath, "_count")
|
|
})
|
|
|
|
t.Run("With moving average doc count", func(t *testing.T) {
|
|
// This test is with pipelineAgg and is passing. Same test without pipelineAgg is failing.
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "count", "field": "select field" },
|
|
{
|
|
"id": "2",
|
|
"type": "moving_avg",
|
|
"field": "3",
|
|
"pipelineAgg": "3"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
require.Len(t, firstLevel.Aggregation.Aggs, 1)
|
|
|
|
movingAvgAgg := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, movingAvgAgg.Key, "2")
|
|
require.Equal(t, movingAvgAgg.Aggregation.Type, "moving_avg")
|
|
pl := movingAvgAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, pl.BucketPath, "_count")
|
|
})
|
|
|
|
t.Run("With broken moving average (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "sum", "field": "@value" },
|
|
{
|
|
"id": "2",
|
|
"type": "moving_avg",
|
|
"field": "3"
|
|
},
|
|
{
|
|
"id": "4",
|
|
"type": "moving_avg"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "3")
|
|
// FIXME: Currently, movingAvg is completely missing
|
|
// in the test bellow with pipelineAgg it is working as expected
|
|
// require.Len(t, firstLevel.Aggregation.Aggs, 2)
|
|
|
|
sumAgg := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, sumAgg.Key, "3")
|
|
|
|
// movingAvgAgg := firstLevel.Aggregation.Aggs[1]
|
|
// require.Equal(t, movingAvgAgg.Key, "2")
|
|
// plAgg := movingAvgAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
// require.Equal(t, plAgg.BucketPath, "3")
|
|
})
|
|
|
|
t.Run("With broken moving average", func(t *testing.T) {
|
|
// This test is with pipelineAgg and is passing. Same test without pipelineAgg is failing.
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "5" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "sum", "field": "@value" },
|
|
{
|
|
"id": "2",
|
|
"type": "moving_avg",
|
|
"pipelineAgg": "3"
|
|
},
|
|
{
|
|
"id": "4",
|
|
"type": "moving_avg",
|
|
"pipelineAgg": "Metric to apply moving average"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "5")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
require.Len(t, firstLevel.Aggregation.Aggs, 2)
|
|
|
|
movingAvgAgg := firstLevel.Aggregation.Aggs[1]
|
|
require.Equal(t, movingAvgAgg.Key, "2")
|
|
plAgg := movingAvgAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, plAgg.BucketPath, "3")
|
|
})
|
|
|
|
t.Run("With top_metrics (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "2", "type": "top_metrics", "settings": { "order": "desc", "orderBy": "@timestamp", "metrics": ["@value"]} }
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "3")
|
|
|
|
secondLevel := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, secondLevel.Key, "2")
|
|
require.Equal(t, secondLevel.Aggregation.Type, "top_metrics")
|
|
|
|
topMetricsBytes, _ := json.Marshal(firstLevel.Aggregation.Aggs[0].Aggregation.Aggregation)
|
|
require.Equal(t, string(topMetricsBytes), `{"metrics":[{"field":"@value"}],"size":"1","sort":[{"@timestamp":"desc"}]}`)
|
|
})
|
|
|
|
t.Run("With cumulative sum", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "sum", "field": "@value" },
|
|
{
|
|
"id": "2",
|
|
"type": "cumulative_sum",
|
|
"field": "3",
|
|
"pipelineAgg": "3"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
require.Len(t, firstLevel.Aggregation.Aggs, 2)
|
|
|
|
sumAgg := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, sumAgg.Key, "3")
|
|
require.Equal(t, sumAgg.Aggregation.Type, "sum")
|
|
mAgg := sumAgg.Aggregation.Aggregation.(*es.MetricAggregation)
|
|
require.Equal(t, mAgg.Field, "@value")
|
|
|
|
cumulativeSumAgg := firstLevel.Aggregation.Aggs[1]
|
|
require.Equal(t, cumulativeSumAgg.Key, "2")
|
|
require.Equal(t, cumulativeSumAgg.Aggregation.Type, "cumulative_sum")
|
|
pl := cumulativeSumAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, pl.BucketPath, "3")
|
|
})
|
|
|
|
t.Run("With cumulative sum doc count", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "count", "field": "select field" },
|
|
{
|
|
"id": "2",
|
|
"type": "cumulative_sum",
|
|
"field": "3",
|
|
"pipelineAgg": "3"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
require.Len(t, firstLevel.Aggregation.Aggs, 1)
|
|
|
|
cumulativeSumAgg := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, cumulativeSumAgg.Key, "2")
|
|
require.Equal(t, cumulativeSumAgg.Aggregation.Type, "cumulative_sum")
|
|
pl := cumulativeSumAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, pl.BucketPath, "_count")
|
|
})
|
|
|
|
t.Run("With broken cumulative sum", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "5" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "sum", "field": "@value" },
|
|
{
|
|
"id": "2",
|
|
"type": "cumulative_sum",
|
|
"pipelineAgg": "3"
|
|
},
|
|
{
|
|
"id": "4",
|
|
"type": "cumulative_sum",
|
|
"pipelineAgg": "Metric to apply cumulative sum"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "5")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
require.Len(t, firstLevel.Aggregation.Aggs, 2)
|
|
|
|
cumulativeSumAgg := firstLevel.Aggregation.Aggs[1]
|
|
require.Equal(t, cumulativeSumAgg.Key, "2")
|
|
plAgg := cumulativeSumAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, plAgg.BucketPath, "3")
|
|
})
|
|
|
|
t.Run("With derivative", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "sum", "field": "@value" },
|
|
{
|
|
"id": "2",
|
|
"type": "derivative",
|
|
"pipelineAgg": "3"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
derivativeAgg := firstLevel.Aggregation.Aggs[1]
|
|
require.Equal(t, derivativeAgg.Key, "2")
|
|
plAgg := derivativeAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, plAgg.BucketPath, "3")
|
|
})
|
|
|
|
t.Run("With derivative doc count", func(t *testing.T) {
|
|
// This test is with pipelineAgg and is passing. Same test without pipelineAgg is failing.
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "count", "field": "select field" },
|
|
{
|
|
"id": "2",
|
|
"type": "derivative",
|
|
"pipelineAgg": "3"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
derivativeAgg := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, derivativeAgg.Key, "2")
|
|
plAgg := derivativeAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, plAgg.BucketPath, "_count")
|
|
})
|
|
|
|
t.Run("With derivative doc count (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "count" },
|
|
{
|
|
"id": "2",
|
|
"type": "derivative",
|
|
"field": "3"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
// FIXME: This is currently fully missing
|
|
// in the test above with pipelineAgg it is working as expected
|
|
// derivativeAgg := firstLevel.Aggregation.Aggs[0]
|
|
// require.Equal(t, derivativeAgg.Key, "2")
|
|
// plAgg := derivativeAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
// require.Equal(t, plAgg.BucketPath, "_count")
|
|
})
|
|
|
|
t.Run("With serial_diff", func(t *testing.T) {
|
|
// This test is with pipelineAgg and is passing. Same test without pipelineAgg is failing.
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "sum", "field": "@value" },
|
|
{
|
|
"id": "2",
|
|
"type": "serial_diff",
|
|
"pipelineAgg": "3",
|
|
"settings": { "lag": "5" }
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
serialDiffAgg := firstLevel.Aggregation.Aggs[1]
|
|
require.Equal(t, serialDiffAgg.Key, "2")
|
|
plAgg := serialDiffAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, plAgg.BucketPath, "3")
|
|
require.Equal(t, plAgg.Settings["lag"], 5.)
|
|
})
|
|
|
|
t.Run("With serial_diff (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "max", "field": "@value" },
|
|
{
|
|
"id": "2",
|
|
"type": "serial_diff",
|
|
"field": "3",
|
|
"settings": { "lag": "5" }
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "3")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
// FIXME: This is currently fully missing
|
|
// in the test above with pipelineAgg it is working as expected
|
|
// serialDiffAgg := firstLevel.Aggregation.Aggs[1]
|
|
// require.Equal(t, serialDiffAgg.Key, "2")
|
|
// plAgg := serialDiffAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
// require.Equal(t, plAgg.BucketPath, "3")
|
|
// require.Equal(t, plAgg.Settings["lag"], "5")
|
|
})
|
|
|
|
t.Run("With serial_diff doc count", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "count", "field": "select field" },
|
|
{
|
|
"id": "2",
|
|
"type": "serial_diff",
|
|
"pipelineAgg": "3"
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
serialDiffAgg := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, serialDiffAgg.Key, "2")
|
|
plAgg := serialDiffAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, plAgg.BucketPath, "_count")
|
|
})
|
|
|
|
t.Run("With bucket_script", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "2" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "1", "type": "sum", "field": "@value" },
|
|
{ "id": "3", "type": "max", "field": "@value" },
|
|
{
|
|
"id": "4",
|
|
"type": "bucket_script",
|
|
"pipelineVariables": [
|
|
{ "name": "var1", "pipelineAgg": "1" },
|
|
{ "name": "var2", "pipelineAgg": "3" }
|
|
],
|
|
"settings": { "script": "params.var1 * params.var2" }
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "2")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
bucketScriptAgg := firstLevel.Aggregation.Aggs[2]
|
|
require.Equal(t, bucketScriptAgg.Key, "4")
|
|
plAgg := bucketScriptAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, plAgg.BucketPath.(map[string]interface{}), map[string]interface{}{
|
|
"var1": "1",
|
|
"var2": "3",
|
|
})
|
|
})
|
|
|
|
t.Run("With bucket_script (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "sum", "field": "@value" },
|
|
{ "id": "5", "type": "max", "field": "@value" },
|
|
{
|
|
"id": "2",
|
|
"type": "bucket_script",
|
|
"pipelineVariables": [
|
|
{ "name": "var1", "pipelineAgg": "3" },
|
|
{ "name": "var2", "pipelineAgg": "5" }
|
|
],
|
|
"settings": { "script": "params.var1 * params.var2" }
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
bucketScriptAgg := firstLevel.Aggregation.Aggs[2]
|
|
require.Equal(t, bucketScriptAgg.Key, "2")
|
|
plAgg := bucketScriptAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, plAgg.BucketPath.(map[string]interface{}), map[string]interface{}{
|
|
"var1": "3",
|
|
"var2": "5",
|
|
})
|
|
})
|
|
|
|
t.Run("With bucket_script doc count", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "count", "field": "select field" },
|
|
{
|
|
"id": "2",
|
|
"type": "bucket_script",
|
|
"pipelineVariables": [
|
|
{ "name": "var1", "pipelineAgg": "3" }
|
|
],
|
|
"settings": { "script": "params.var1 * 1000" }
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "4")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
bucketScriptAgg := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, bucketScriptAgg.Key, "2")
|
|
plAgg := bucketScriptAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, plAgg.BucketPath.(map[string]interface{}), map[string]interface{}{
|
|
"var1": "_count",
|
|
})
|
|
})
|
|
|
|
t.Run("With bucket_script doc count (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "2" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "3", "type": "count"},
|
|
{
|
|
"id": "4",
|
|
"type": "bucket_script",
|
|
"pipelineVariables": [
|
|
{ "name": "var1", "pipelineAgg": "3" }
|
|
],
|
|
"settings": { "script": "params.var1 * 1000" }
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
firstLevel := sr.Aggs[0]
|
|
require.Equal(t, firstLevel.Key, "2")
|
|
require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
bucketScriptAgg := firstLevel.Aggregation.Aggs[0]
|
|
require.Equal(t, bucketScriptAgg.Key, "4")
|
|
plAgg := bucketScriptAgg.Aggregation.Aggregation.(*es.PipelineAggregation)
|
|
require.Equal(t, plAgg.BucketPath.(map[string]interface{}), map[string]interface{}{
|
|
"var1": "_count",
|
|
})
|
|
})
|
|
|
|
t.Run("With lucene query should add query_string filter when query is not empty (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"query": "foo"
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
filter := sr.Query.Bool.Filters[1].(*es.QueryStringFilter)
|
|
require.Equal(t, filter.Query, "foo")
|
|
require.Equal(t, filter.AnalyzeWildcard, true)
|
|
})
|
|
|
|
t.Run("With lucene query should add query_string filter when query is not empty (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"query": "foo"
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
filter := sr.Query.Bool.Filters[1].(*es.QueryStringFilter)
|
|
require.Equal(t, filter.Query, "foo")
|
|
require.Equal(t, filter.AnalyzeWildcard, true)
|
|
})
|
|
|
|
// FIXME
|
|
// Log query is not implemented with defaults
|
|
// t.Run("With log query should return query with defaults (from frontend tests)", func(t *testing.T) {
|
|
// c := newFakeClient()
|
|
// _, err := executeTsdbQuery(c, `{
|
|
// "timeField": "@timestamp",
|
|
// "metrics": { "type": "logs", "id": "1"}
|
|
// }`, from, to, 15*time.Second)
|
|
// require.NoError(t, err)
|
|
// sr := c.multisearchRequests[0].Requests[0]
|
|
// require.Equal(t, sr.Size, 500)
|
|
|
|
// rangeFilter := sr.Query.Bool.Filters[0].(*es.RangeFilter)
|
|
// require.Equal(t, rangeFilter.Key, c.timeField)
|
|
// require.Equal(t, rangeFilter.Lte, toMs)
|
|
// require.Equal(t, rangeFilter.Gte, fromMs)
|
|
// require.Equal(t, rangeFilter.Format, es.DateFormatEpochMS)
|
|
|
|
// sort, _ := json.Marshal(sr.Sort)
|
|
// require.Equal(t, string(sort), `"sort":[{"@timestamp":{"order":"desc","unmapped_type":"boolean"}},{"_doc":{"order":"desc"}}]`)
|
|
|
|
// firstLevel := sr.Aggs[0]
|
|
// require.Equal(t, firstLevel.Key, "1")
|
|
// require.Equal(t, firstLevel.Aggregation.Type, "date_histogram")
|
|
|
|
// hAgg := firstLevel.Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
// require.Equal(t, hAgg.ExtendedBounds.Max, toMs)
|
|
// require.Equal(t, hAgg.ExtendedBounds.Min, fromMs)
|
|
// require.Equal(t, hAgg.Field, "@timestamp")
|
|
// require.Equal(t, hAgg.Format, es.DateFormatEpochMS)
|
|
// require.Equal(t, hAgg.FixedInterval, "$__interval_msms")
|
|
// require.Equal(t, hAgg.MinDocCount, 0)
|
|
// })
|
|
})
|
|
}
|
|
|
|
func TestSettingsCasting(t *testing.T) {
|
|
from := time.Date(2018, 5, 15, 17, 50, 0, 0, time.UTC)
|
|
to := time.Date(2018, 5, 15, 17, 55, 0, 0, time.UTC)
|
|
|
|
t.Run("Correctly casts values in moving_avg (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"metrics": [
|
|
{ "type": "avg", "id" : "2" },
|
|
{
|
|
"type": "moving_avg",
|
|
"id" : "3",
|
|
"pipelineAgg": "2",
|
|
"settings": {
|
|
"window": "5",
|
|
"model": "holt_winters",
|
|
"predict": "10",
|
|
"settings": {
|
|
"alpha": "1",
|
|
"beta": "2",
|
|
"gamma": "3",
|
|
"period": "4"
|
|
}
|
|
}
|
|
}
|
|
],
|
|
"bucketAggs": [{"type": "date_histogram", "field": "@timestamp", "id": "1"}]
|
|
}`, from, to, 15*time.Second)
|
|
require.NoError(t, err)
|
|
// FIXME
|
|
// This is working correctly if instead of field we use pipelineAgg
|
|
// sr := c.multisearchRequests[0].Requests[0]
|
|
// movingAvgSettings := sr.Aggs[0].Aggregation.Aggs[1].Aggregation.Aggregation.(*es.PipelineAggregation).Settings
|
|
|
|
// assert.Equal(t, movingAvgSettings["window"], 5)
|
|
// assert.Equal(t, movingAvgSettings["predict"], 10)
|
|
|
|
// modelSettings := movingAvgSettings["settings"].(map[string]interface{})
|
|
|
|
// assert.Equal(t, modelSettings["alpha"], 1)
|
|
// assert.Equal(t, modelSettings["beta"], 2)
|
|
// assert.Equal(t, modelSettings["gamma"], 3)
|
|
// assert.Equal(t, modelSettings["period"], 4)
|
|
})
|
|
|
|
t.Run("Correctly transforms moving_average settings", func(t *testing.T) {
|
|
// This test is with pipelineAgg and is passing. Same test without pipelineAgg is failing.
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "2" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "1", "type": "average", "field": "@value" },
|
|
{
|
|
"id": "3",
|
|
"type": "moving_avg",
|
|
"field": "1",
|
|
"pipelineAgg": "1",
|
|
"settings": {
|
|
"model": "holt_winters",
|
|
"window": "10",
|
|
"predict": "5",
|
|
"settings": {
|
|
"alpha": "0.5",
|
|
"beta": "0.7",
|
|
"gamma": "SHOULD NOT CHANGE",
|
|
"period": "4"
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
assert.Nil(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
movingAvgSettings := sr.Aggs[0].Aggregation.Aggs[1].Aggregation.Aggregation.(*es.PipelineAggregation).Settings
|
|
|
|
assert.Equal(t, 10., movingAvgSettings["window"])
|
|
assert.Equal(t, 5., movingAvgSettings["predict"])
|
|
|
|
modelSettings := movingAvgSettings["settings"].(map[string]interface{})
|
|
|
|
assert.Equal(t, .5, modelSettings["alpha"])
|
|
assert.Equal(t, .7, modelSettings["beta"])
|
|
assert.Equal(t, "SHOULD NOT CHANGE", modelSettings["gamma"])
|
|
assert.Equal(t, 4., modelSettings["period"])
|
|
})
|
|
|
|
t.Run("Correctly transforms serial_diff settings (from frontend tests)", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "1" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "2", "type": "avg" },
|
|
{
|
|
"id": "3",
|
|
"type": "serial_diff",
|
|
"field": "2",
|
|
"settings": {
|
|
"lag": "1"
|
|
}
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
assert.Nil(t, err)
|
|
// FIXME This fails, but if we add pipelineAgg it works
|
|
// sr := c.multisearchRequests[0].Requests[0]
|
|
// serialDiffSettings := sr.Aggs[0].Aggregation.Aggs[1].Aggregation.Aggregation.(*es.PipelineAggregation).Settings
|
|
// assert.Equal(t, serialDiffSettings["lag"], 1.)
|
|
})
|
|
|
|
t.Run("Correctly transforms serial_diff settings", func(t *testing.T) {
|
|
// This test is with pipelineAgg and is passing. Same test without pipelineAgg is failing.
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "2" }
|
|
],
|
|
"metrics": [
|
|
{ "id": "1", "type": "average", "field": "@value" },
|
|
{
|
|
"id": "3",
|
|
"type": "serial_diff",
|
|
"field": "1",
|
|
"pipelineAgg": "1",
|
|
"settings": {
|
|
"lag": "1"
|
|
}
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
assert.Nil(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
serialDiffSettings := sr.Aggs[0].Aggregation.Aggs[1].Aggregation.Aggregation.(*es.PipelineAggregation).Settings
|
|
|
|
assert.Equal(t, 1., serialDiffSettings["lag"])
|
|
})
|
|
|
|
t.Run("Date Histogram Settings", func(t *testing.T) {
|
|
t.Run("Correctly transforms date_histogram settings", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{
|
|
"type": "date_histogram",
|
|
"field": "@timestamp",
|
|
"id": "2",
|
|
"settings": {
|
|
"min_doc_count": "1"
|
|
}
|
|
}
|
|
],
|
|
"metrics": [
|
|
{ "id": "1", "type": "average", "field": "@value" },
|
|
{
|
|
"id": "3",
|
|
"type": "serial_diff",
|
|
"field": "1",
|
|
"pipelineAgg": "1",
|
|
"settings": {
|
|
"lag": "1"
|
|
}
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
assert.Nil(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
dateHistogramAgg := sr.Aggs[0].Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
|
|
assert.Equal(t, 1, dateHistogramAgg.MinDocCount)
|
|
})
|
|
|
|
t.Run("Correctly uses already int min_doc_count", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{
|
|
"type": "date_histogram",
|
|
"field": "@timestamp",
|
|
"id": "2",
|
|
"settings": {
|
|
"min_doc_count": 10
|
|
}
|
|
}
|
|
],
|
|
"metrics": [
|
|
{ "id": "1", "type": "average", "field": "@value" },
|
|
{
|
|
"id": "3",
|
|
"type": "serial_diff",
|
|
"field": "1",
|
|
"pipelineAgg": "1",
|
|
"settings": {
|
|
"lag": "1"
|
|
}
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
assert.Nil(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
dateHistogramAgg := sr.Aggs[0].Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
|
|
assert.Equal(t, 10, dateHistogramAgg.MinDocCount)
|
|
})
|
|
|
|
t.Run("interval parameter", func(t *testing.T) {
|
|
t.Run("Uses fixed_interval", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{
|
|
"type": "date_histogram",
|
|
"field": "@timestamp",
|
|
"id": "2",
|
|
"settings": {
|
|
"interval": "1d"
|
|
}
|
|
}
|
|
],
|
|
"metrics": [
|
|
{ "id": "1", "type": "average", "field": "@value" }
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
assert.Nil(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
dateHistogramAgg := sr.Aggs[0].Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
|
|
assert.NotZero(t, dateHistogramAgg.FixedInterval)
|
|
})
|
|
})
|
|
})
|
|
|
|
t.Run("Inline Script", func(t *testing.T) {
|
|
t.Run("Correctly handles scripts", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "2" }
|
|
],
|
|
"metrics": [
|
|
{
|
|
"id": "1",
|
|
"type": "avg",
|
|
"settings": {
|
|
"script": "my_script"
|
|
}
|
|
},
|
|
{
|
|
"id": "3",
|
|
"type": "avg",
|
|
"settings": {
|
|
"script": {
|
|
"inline": "my_script"
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
|
|
assert.Nil(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
|
|
newFormatAggSettings := sr.Aggs[0].Aggregation.Aggs[0].Aggregation.Aggregation.(*es.MetricAggregation).Settings
|
|
oldFormatAggSettings := sr.Aggs[0].Aggregation.Aggs[1].Aggregation.Aggregation.(*es.MetricAggregation).Settings
|
|
|
|
assert.Equal(t, "my_script", newFormatAggSettings["script"])
|
|
assert.Equal(t, "my_script", oldFormatAggSettings["script"])
|
|
})
|
|
})
|
|
|
|
t.Run("Field property (from frontend tests)", func(t *testing.T) {
|
|
t.Run("Should use timeField from datasource when not specified", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"metrics": [{ "type": "count", "id": "1" }],
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "id": "2", "settings": { "min_doc_count": "1" } }
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
|
|
assert.Nil(t, err)
|
|
// FIXME: This should be @timestamp, but Field is empty
|
|
// sr := c.multisearchRequests[0].Requests[0]
|
|
// dateHistogramAgg := sr.Aggs[0].Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
// assert.Equal(t, dateHistogramAgg.Field, "@timestamp")
|
|
})
|
|
|
|
t.Run("Should use field from bucket agg when specified", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"metrics": [{ "type": "count", "id": "1" }],
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "id": "2", "field": "@time", "settings": { "min_doc_count": "1" } }
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
|
|
assert.Nil(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
dateHistogramAgg := sr.Aggs[0].Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
assert.Equal(t, dateHistogramAgg.Field, "@time")
|
|
})
|
|
|
|
t.Run("Should use fixed_interval", func(t *testing.T) {
|
|
c := newFakeClient()
|
|
_, err := executeTsdbQuery(c, `{
|
|
"metrics": [{ "type": "count", "id": "1" }],
|
|
"timeField": "@timestamp",
|
|
"bucketAggs": [
|
|
{ "type": "date_histogram", "id": "2", "field": "@time", "settings": { "min_doc_count": "1", "interval": "1d" } }
|
|
]
|
|
}`, from, to, 15*time.Second)
|
|
|
|
assert.Nil(t, err)
|
|
sr := c.multisearchRequests[0].Requests[0]
|
|
dateHistogramAgg := sr.Aggs[0].Aggregation.Aggregation.(*es.DateHistogramAgg)
|
|
assert.Equal(t, dateHistogramAgg.FixedInterval, "1d")
|
|
})
|
|
})
|
|
}
|
|
|
|
type fakeClient struct {
|
|
timeField string
|
|
multiSearchResponse *es.MultiSearchResponse
|
|
multiSearchError error
|
|
builder *es.MultiSearchRequestBuilder
|
|
multisearchRequests []*es.MultiSearchRequest
|
|
}
|
|
|
|
func newFakeClient() *fakeClient {
|
|
return &fakeClient{
|
|
timeField: "@timestamp",
|
|
multisearchRequests: make([]*es.MultiSearchRequest, 0),
|
|
multiSearchResponse: &es.MultiSearchResponse{},
|
|
}
|
|
}
|
|
|
|
func (c *fakeClient) EnableDebug() {}
|
|
|
|
func (c *fakeClient) GetTimeField() string {
|
|
return c.timeField
|
|
}
|
|
|
|
func (c *fakeClient) GetMinInterval(queryInterval string) (time.Duration, error) {
|
|
return 15 * time.Second, nil
|
|
}
|
|
|
|
func (c *fakeClient) ExecuteMultisearch(r *es.MultiSearchRequest) (*es.MultiSearchResponse, error) {
|
|
c.multisearchRequests = append(c.multisearchRequests, r)
|
|
return c.multiSearchResponse, c.multiSearchError
|
|
}
|
|
|
|
func (c *fakeClient) MultiSearch() *es.MultiSearchRequestBuilder {
|
|
c.builder = es.NewMultiSearchRequestBuilder()
|
|
return c.builder
|
|
}
|
|
|
|
func newDataQuery(body string) (backend.QueryDataRequest, error) {
|
|
return backend.QueryDataRequest{
|
|
Queries: []backend.DataQuery{
|
|
{
|
|
JSON: json.RawMessage(body),
|
|
},
|
|
},
|
|
}, nil
|
|
}
|
|
|
|
func executeTsdbQuery(c es.Client, body string, from, to time.Time, minInterval time.Duration) (
|
|
*backend.QueryDataResponse, error) {
|
|
timeRange := backend.TimeRange{
|
|
From: from,
|
|
To: to,
|
|
}
|
|
dataRequest := backend.QueryDataRequest{
|
|
Queries: []backend.DataQuery{
|
|
{
|
|
JSON: json.RawMessage(body),
|
|
TimeRange: timeRange,
|
|
},
|
|
},
|
|
}
|
|
query := newTimeSeriesQuery(c, dataRequest.Queries, intervalv2.NewCalculator(intervalv2.CalculatorOptions{MinInterval: minInterval}))
|
|
return query.execute()
|
|
}
|
|
|
|
func TestTimeSeriesQueryParser(t *testing.T) {
|
|
t.Run("Test time series query parser", func(t *testing.T) {
|
|
p := newTimeSeriesQueryParser()
|
|
|
|
t.Run("Should be able to parse query", func(t *testing.T) {
|
|
body := `{
|
|
"timeField": "@timestamp",
|
|
"query": "@metric:cpu",
|
|
"alias": "{{@hostname}} {{metric}}",
|
|
"interval": "10m",
|
|
"metrics": [
|
|
{
|
|
"field": "@value",
|
|
"id": "1",
|
|
"meta": {},
|
|
"settings": {
|
|
"percents": [
|
|
"90"
|
|
]
|
|
},
|
|
"type": "percentiles"
|
|
},
|
|
{
|
|
"type": "count",
|
|
"field": "select field",
|
|
"id": "4",
|
|
"settings": {},
|
|
"meta": {}
|
|
}
|
|
],
|
|
"bucketAggs": [
|
|
{
|
|
"fake": true,
|
|
"field": "@hostname",
|
|
"id": "3",
|
|
"settings": {
|
|
"min_doc_count": 1,
|
|
"order": "desc",
|
|
"orderBy": "_term",
|
|
"size": "10"
|
|
},
|
|
"type": "terms"
|
|
},
|
|
{
|
|
"field": "@timestamp",
|
|
"id": "2",
|
|
"settings": {
|
|
"interval": "5m",
|
|
"min_doc_count": 0,
|
|
"trimEdges": 0
|
|
},
|
|
"type": "date_histogram"
|
|
}
|
|
]
|
|
}`
|
|
dataQuery, err := newDataQuery(body)
|
|
require.NoError(t, err)
|
|
queries, err := p.parse(dataQuery.Queries)
|
|
require.NoError(t, err)
|
|
require.Len(t, queries, 1)
|
|
|
|
q := queries[0]
|
|
|
|
require.Equal(t, q.TimeField, "@timestamp")
|
|
require.Equal(t, q.RawQuery, "@metric:cpu")
|
|
require.Equal(t, q.Alias, "{{@hostname}} {{metric}}")
|
|
require.Equal(t, q.Interval, "10m")
|
|
|
|
require.Len(t, q.Metrics, 2)
|
|
require.Equal(t, q.Metrics[0].Field, "@value")
|
|
require.Equal(t, q.Metrics[0].ID, "1")
|
|
require.Equal(t, q.Metrics[0].Type, "percentiles")
|
|
require.False(t, q.Metrics[0].Hide)
|
|
require.Equal(t, q.Metrics[0].PipelineAggregate, "")
|
|
require.Equal(t, q.Metrics[0].Settings.Get("percents").MustStringArray()[0], "90")
|
|
|
|
require.Equal(t, q.Metrics[1].Field, "select field")
|
|
require.Equal(t, q.Metrics[1].ID, "4")
|
|
require.Equal(t, q.Metrics[1].Type, "count")
|
|
require.False(t, q.Metrics[1].Hide)
|
|
require.Equal(t, q.Metrics[1].PipelineAggregate, "")
|
|
require.Empty(t, q.Metrics[1].Settings.MustMap())
|
|
|
|
require.Len(t, q.BucketAggs, 2)
|
|
require.Equal(t, q.BucketAggs[0].Field, "@hostname")
|
|
require.Equal(t, q.BucketAggs[0].ID, "3")
|
|
require.Equal(t, q.BucketAggs[0].Type, "terms")
|
|
require.Equal(t, q.BucketAggs[0].Settings.Get("min_doc_count").MustInt(), 1)
|
|
require.Equal(t, q.BucketAggs[0].Settings.Get("order").MustString(), "desc")
|
|
require.Equal(t, q.BucketAggs[0].Settings.Get("orderBy").MustString(), "_term")
|
|
require.Equal(t, q.BucketAggs[0].Settings.Get("size").MustString(), "10")
|
|
|
|
require.Equal(t, q.BucketAggs[1].Field, "@timestamp")
|
|
require.Equal(t, q.BucketAggs[1].ID, "2")
|
|
require.Equal(t, q.BucketAggs[1].Type, "date_histogram")
|
|
require.Equal(t, q.BucketAggs[1].Settings.Get("interval").MustString(), "5m")
|
|
require.Equal(t, q.BucketAggs[1].Settings.Get("min_doc_count").MustInt(), 0)
|
|
require.Equal(t, q.BucketAggs[1].Settings.Get("trimEdges").MustInt(), 0)
|
|
})
|
|
})
|
|
}
|