mirror of https://github.com/grafana/grafana.git
881 lines
28 KiB
Go
881 lines
28 KiB
Go
package elasticsearch
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import (
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"encoding/json"
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"fmt"
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"testing"
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"time"
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"github.com/grafana/grafana/pkg/components/null"
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"github.com/grafana/grafana/pkg/components/simplejson"
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"github.com/grafana/grafana/pkg/tsdb/elasticsearch/client"
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"github.com/grafana/grafana/pkg/tsdb"
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. "github.com/smartystreets/goconvey/convey"
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)
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func TestResponseParser(t *testing.T) {
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Convey("Elasticsearch response parser test", t, func() {
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Convey("Simple query and count", func() {
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targets := map[string]string{
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"A": `{
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"timeField": "@timestamp",
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"metrics": [{ "type": "count", "id": "1" }],
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"bucketAggs": [{ "type": "date_histogram", "field": "@timestamp", "id": "2" }]
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}`,
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}
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response := `{
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"responses": [
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{
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"aggregations": {
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"2": {
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"buckets": [
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{
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"doc_count": 10,
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"key": 1000
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},
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{
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"doc_count": 15,
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"key": 2000
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}
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]
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}
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}
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}
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]
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}`
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rp, err := newResponseParserForTest(targets, response)
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So(err, ShouldBeNil)
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result, err := rp.getTimeSeries()
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So(err, ShouldBeNil)
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So(result.Results, ShouldHaveLength, 1)
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queryRes := result.Results["A"]
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So(queryRes, ShouldNotBeNil)
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So(queryRes.Series, ShouldHaveLength, 1)
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series := queryRes.Series[0]
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So(series.Name, ShouldEqual, "Count")
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So(series.Points, ShouldHaveLength, 2)
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So(series.Points[0][0].Float64, ShouldEqual, 10)
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So(series.Points[0][1].Float64, ShouldEqual, 1000)
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So(series.Points[1][0].Float64, ShouldEqual, 15)
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So(series.Points[1][1].Float64, ShouldEqual, 2000)
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})
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Convey("Simple query count & avg aggregation", func() {
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targets := map[string]string{
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"A": `{
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"timeField": "@timestamp",
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"metrics": [{ "type": "count", "id": "1" }, {"type": "avg", "field": "value", "id": "2" }],
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"bucketAggs": [{ "type": "date_histogram", "field": "@timestamp", "id": "3" }]
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}`,
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}
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response := `{
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"responses": [
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{
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"aggregations": {
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"3": {
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"buckets": [
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{
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"2": { "value": 88 },
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"doc_count": 10,
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"key": 1000
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},
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{
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"2": { "value": 99 },
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"doc_count": 15,
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"key": 2000
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}
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]
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}
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}
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}
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]
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}`
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rp, err := newResponseParserForTest(targets, response)
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So(err, ShouldBeNil)
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result, err := rp.getTimeSeries()
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So(err, ShouldBeNil)
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So(result.Results, ShouldHaveLength, 1)
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queryRes := result.Results["A"]
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So(queryRes, ShouldNotBeNil)
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So(queryRes.Series, ShouldHaveLength, 2)
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seriesOne := queryRes.Series[0]
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So(seriesOne.Name, ShouldEqual, "Count")
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So(seriesOne.Points, ShouldHaveLength, 2)
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So(seriesOne.Points[0][0].Float64, ShouldEqual, 10)
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So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesOne.Points[1][0].Float64, ShouldEqual, 15)
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So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
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seriesTwo := queryRes.Series[1]
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So(seriesTwo.Name, ShouldEqual, "Average value")
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So(seriesTwo.Points, ShouldHaveLength, 2)
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So(seriesTwo.Points[0][0].Float64, ShouldEqual, 88)
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So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesTwo.Points[1][0].Float64, ShouldEqual, 99)
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So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
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})
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Convey("Single group by query one metric", func() {
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targets := map[string]string{
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"A": `{
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"timeField": "@timestamp",
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"metrics": [{ "type": "count", "id": "1" }],
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"bucketAggs": [
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{ "type": "terms", "field": "host", "id": "2" },
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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]
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}`,
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}
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response := `{
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"responses": [
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{
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"aggregations": {
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"2": {
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"buckets": [
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{
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"3": {
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"buckets": [{ "doc_count": 1, "key": 1000 }, { "doc_count": 3, "key": 2000 }]
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},
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"doc_count": 4,
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"key": "server1"
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},
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{
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"3": {
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"buckets": [{ "doc_count": 2, "key": 1000 }, { "doc_count": 8, "key": 2000 }]
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},
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"doc_count": 10,
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"key": "server2"
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}
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]
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}
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}
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}
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]
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}`
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rp, err := newResponseParserForTest(targets, response)
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So(err, ShouldBeNil)
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result, err := rp.getTimeSeries()
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So(err, ShouldBeNil)
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So(result.Results, ShouldHaveLength, 1)
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queryRes := result.Results["A"]
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So(queryRes, ShouldNotBeNil)
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So(queryRes.Series, ShouldHaveLength, 2)
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seriesOne := queryRes.Series[0]
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So(seriesOne.Name, ShouldEqual, "server1")
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So(seriesOne.Points, ShouldHaveLength, 2)
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So(seriesOne.Points[0][0].Float64, ShouldEqual, 1)
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So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesOne.Points[1][0].Float64, ShouldEqual, 3)
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So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
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seriesTwo := queryRes.Series[1]
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So(seriesTwo.Name, ShouldEqual, "server2")
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So(seriesTwo.Points, ShouldHaveLength, 2)
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So(seriesTwo.Points[0][0].Float64, ShouldEqual, 2)
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So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesTwo.Points[1][0].Float64, ShouldEqual, 8)
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So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
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})
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Convey("Single group by query two metrics", func() {
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targets := map[string]string{
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"A": `{
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"timeField": "@timestamp",
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"metrics": [{ "type": "count", "id": "1" }, { "type": "avg", "field": "@value", "id": "4" }],
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"bucketAggs": [
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{ "type": "terms", "field": "host", "id": "2" },
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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]
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}`,
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}
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response := `{
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"responses": [
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{
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"aggregations": {
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"2": {
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"buckets": [
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{
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"3": {
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"buckets": [
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{ "4": { "value": 10 }, "doc_count": 1, "key": 1000 },
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{ "4": { "value": 12 }, "doc_count": 3, "key": 2000 }
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]
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},
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"doc_count": 4,
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"key": "server1"
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},
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{
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"3": {
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"buckets": [
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{ "4": { "value": 20 }, "doc_count": 1, "key": 1000 },
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{ "4": { "value": 32 }, "doc_count": 3, "key": 2000 }
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]
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},
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"doc_count": 10,
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"key": "server2"
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}
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]
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}
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}
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}
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]
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}`
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rp, err := newResponseParserForTest(targets, response)
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So(err, ShouldBeNil)
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result, err := rp.getTimeSeries()
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So(err, ShouldBeNil)
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So(result.Results, ShouldHaveLength, 1)
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queryRes := result.Results["A"]
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So(queryRes, ShouldNotBeNil)
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So(queryRes.Series, ShouldHaveLength, 4)
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seriesOne := queryRes.Series[0]
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So(seriesOne.Name, ShouldEqual, "server1 Count")
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So(seriesOne.Points, ShouldHaveLength, 2)
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So(seriesOne.Points[0][0].Float64, ShouldEqual, 1)
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So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesOne.Points[1][0].Float64, ShouldEqual, 3)
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So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
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seriesTwo := queryRes.Series[1]
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So(seriesTwo.Name, ShouldEqual, "server1 Average @value")
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So(seriesTwo.Points, ShouldHaveLength, 2)
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So(seriesTwo.Points[0][0].Float64, ShouldEqual, 10)
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So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesTwo.Points[1][0].Float64, ShouldEqual, 12)
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So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
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seriesThree := queryRes.Series[2]
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So(seriesThree.Name, ShouldEqual, "server2 Count")
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So(seriesThree.Points, ShouldHaveLength, 2)
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So(seriesThree.Points[0][0].Float64, ShouldEqual, 1)
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So(seriesThree.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesThree.Points[1][0].Float64, ShouldEqual, 3)
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So(seriesThree.Points[1][1].Float64, ShouldEqual, 2000)
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seriesFour := queryRes.Series[3]
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So(seriesFour.Name, ShouldEqual, "server2 Average @value")
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So(seriesFour.Points, ShouldHaveLength, 2)
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So(seriesFour.Points[0][0].Float64, ShouldEqual, 20)
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So(seriesFour.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesFour.Points[1][0].Float64, ShouldEqual, 32)
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So(seriesFour.Points[1][1].Float64, ShouldEqual, 2000)
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})
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Convey("With percentiles", func() {
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targets := map[string]string{
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"A": `{
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"timeField": "@timestamp",
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"metrics": [{ "type": "percentiles", "settings": { "percents": [75, 90] }, "id": "1" }],
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"bucketAggs": [{ "type": "date_histogram", "field": "@timestamp", "id": "3" }]
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}`,
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}
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response := `{
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"responses": [
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{
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"aggregations": {
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"3": {
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"buckets": [
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{
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"1": { "values": { "75": 3.3, "90": 5.5 } },
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"doc_count": 10,
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"key": 1000
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},
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{
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"1": { "values": { "75": 2.3, "90": 4.5 } },
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"doc_count": 15,
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"key": 2000
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}
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]
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}
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}
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}
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]
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}`
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rp, err := newResponseParserForTest(targets, response)
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So(err, ShouldBeNil)
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result, err := rp.getTimeSeries()
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So(err, ShouldBeNil)
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So(result.Results, ShouldHaveLength, 1)
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queryRes := result.Results["A"]
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So(queryRes, ShouldNotBeNil)
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So(queryRes.Series, ShouldHaveLength, 2)
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seriesOne := queryRes.Series[0]
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So(seriesOne.Name, ShouldEqual, "p75")
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So(seriesOne.Points, ShouldHaveLength, 2)
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So(seriesOne.Points[0][0].Float64, ShouldEqual, 3.3)
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So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesOne.Points[1][0].Float64, ShouldEqual, 2.3)
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So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
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seriesTwo := queryRes.Series[1]
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So(seriesTwo.Name, ShouldEqual, "p90")
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So(seriesTwo.Points, ShouldHaveLength, 2)
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So(seriesTwo.Points[0][0].Float64, ShouldEqual, 5.5)
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So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesTwo.Points[1][0].Float64, ShouldEqual, 4.5)
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So(seriesTwo.Points[1][1].Float64, ShouldEqual, 2000)
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})
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Convey("With extended stats", func() {
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targets := map[string]string{
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"A": `{
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"timeField": "@timestamp",
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"metrics": [{ "type": "extended_stats", "meta": { "max": true, "std_deviation_bounds_upper": true, "std_deviation_bounds_lower": true }, "id": "1" }],
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"bucketAggs": [
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{ "type": "terms", "field": "host", "id": "3" },
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{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
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]
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}`,
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}
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response := `{
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"responses": [
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{
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"aggregations": {
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"3": {
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"buckets": [
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{
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"key": "server1",
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"4": {
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"buckets": [
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{
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"1": {
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"max": 10.2,
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"min": 5.5,
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"std_deviation_bounds": { "upper": 3, "lower": -2 }
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},
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"doc_count": 10,
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"key": 1000
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}
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]
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}
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},
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{
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"key": "server2",
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"4": {
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"buckets": [
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{
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"1": {
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"max": 15.5,
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"min": 3.4,
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"std_deviation_bounds": { "upper": 4, "lower": -1 }
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},
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"doc_count": 10,
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"key": 1000
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}
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]
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}
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}
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]
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}
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}
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}
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]
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}`
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rp, err := newResponseParserForTest(targets, response)
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So(err, ShouldBeNil)
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result, err := rp.getTimeSeries()
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So(err, ShouldBeNil)
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So(result.Results, ShouldHaveLength, 1)
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queryRes := result.Results["A"]
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So(queryRes, ShouldNotBeNil)
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So(queryRes.Series, ShouldHaveLength, 6)
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seriesOne := queryRes.Series[0]
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So(seriesOne.Name, ShouldEqual, "server1 Max")
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So(seriesOne.Points, ShouldHaveLength, 1)
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So(seriesOne.Points[0][0].Float64, ShouldEqual, 10.2)
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So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
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seriesTwo := queryRes.Series[1]
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So(seriesTwo.Name, ShouldEqual, "server1 Std Dev Lower")
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So(seriesTwo.Points, ShouldHaveLength, 1)
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So(seriesTwo.Points[0][0].Float64, ShouldEqual, -2)
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So(seriesTwo.Points[0][1].Float64, ShouldEqual, 1000)
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seriesThree := queryRes.Series[2]
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So(seriesThree.Name, ShouldEqual, "server1 Std Dev Upper")
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So(seriesThree.Points, ShouldHaveLength, 1)
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So(seriesThree.Points[0][0].Float64, ShouldEqual, 3)
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So(seriesThree.Points[0][1].Float64, ShouldEqual, 1000)
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seriesFour := queryRes.Series[3]
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So(seriesFour.Name, ShouldEqual, "server2 Max")
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So(seriesFour.Points, ShouldHaveLength, 1)
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So(seriesFour.Points[0][0].Float64, ShouldEqual, 15.5)
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So(seriesFour.Points[0][1].Float64, ShouldEqual, 1000)
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seriesFive := queryRes.Series[4]
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So(seriesFive.Name, ShouldEqual, "server2 Std Dev Lower")
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So(seriesFive.Points, ShouldHaveLength, 1)
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So(seriesFive.Points[0][0].Float64, ShouldEqual, -1)
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So(seriesFive.Points[0][1].Float64, ShouldEqual, 1000)
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seriesSix := queryRes.Series[5]
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So(seriesSix.Name, ShouldEqual, "server2 Std Dev Upper")
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So(seriesSix.Points, ShouldHaveLength, 1)
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So(seriesSix.Points[0][0].Float64, ShouldEqual, 4)
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So(seriesSix.Points[0][1].Float64, ShouldEqual, 1000)
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})
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Convey("Single group by with alias pattern", func() {
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targets := map[string]string{
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"A": `{
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"timeField": "@timestamp",
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"alias": "{{term @host}} {{metric}} and {{not_exist}} {{@host}}",
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"metrics": [{ "type": "count", "id": "1" }],
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"bucketAggs": [
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{ "type": "terms", "field": "@host", "id": "2" },
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{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
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]
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}`,
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}
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response := `{
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"responses": [
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{
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"aggregations": {
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"2": {
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"buckets": [
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{
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"3": {
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"buckets": [{ "doc_count": 1, "key": 1000 }, { "doc_count": 3, "key": 2000 }]
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},
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"doc_count": 4,
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"key": "server1"
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},
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{
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"3": {
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"buckets": [{ "doc_count": 2, "key": 1000 }, { "doc_count": 8, "key": 2000 }]
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},
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"doc_count": 10,
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"key": "server2"
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},
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{
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"3": {
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"buckets": [{ "doc_count": 2, "key": 1000 }, { "doc_count": 8, "key": 2000 }]
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},
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"doc_count": 10,
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"key": 0
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}
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]
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}
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}
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}
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]
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}`
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rp, err := newResponseParserForTest(targets, response)
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So(err, ShouldBeNil)
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result, err := rp.getTimeSeries()
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So(err, ShouldBeNil)
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So(result.Results, ShouldHaveLength, 1)
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queryRes := result.Results["A"]
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So(queryRes, ShouldNotBeNil)
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So(queryRes.Series, ShouldHaveLength, 3)
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seriesOne := queryRes.Series[0]
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So(seriesOne.Name, ShouldEqual, "server1 Count and {{not_exist}} server1")
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So(seriesOne.Points, ShouldHaveLength, 2)
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So(seriesOne.Points[0][0].Float64, ShouldEqual, 1)
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So(seriesOne.Points[0][1].Float64, ShouldEqual, 1000)
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So(seriesOne.Points[1][0].Float64, ShouldEqual, 3)
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So(seriesOne.Points[1][1].Float64, ShouldEqual, 2000)
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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)
|
|
|
|
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)
|
|
})
|
|
|
|
Convey("Histogram response", func() {
|
|
targets := map[string]string{
|
|
"A": `{
|
|
"timeField": "@timestamp",
|
|
"metrics": [{ "type": "count", "id": "1" }],
|
|
"bucketAggs": [{ "type": "histogram", "field": "bytes", "id": "3" }]
|
|
}`,
|
|
}
|
|
response := `{
|
|
"responses": [
|
|
{
|
|
"aggregations": {
|
|
"3": {
|
|
"buckets": [{ "doc_count": 1, "key": 1000 }, { "doc_count": 3, "key": 2000 }, { "doc_count": 2, "key": 3000 }]
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}`
|
|
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, 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)
|
|
})
|
|
|
|
Convey("With two filters agg", func() {
|
|
targets := map[string]string{
|
|
"A": `{
|
|
"timeField": "@timestamp",
|
|
"metrics": [{ "type": "count", "id": "1" }],
|
|
"bucketAggs": [
|
|
{
|
|
"type": "filters",
|
|
"id": "2",
|
|
"settings": {
|
|
"filters": [{ "query": "@metric:cpu" }, { "query": "@metric:logins.count" }]
|
|
}
|
|
},
|
|
{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
|
|
]
|
|
}`,
|
|
}
|
|
response := `{
|
|
"responses": [
|
|
{
|
|
"aggregations": {
|
|
"2": {
|
|
"buckets": {
|
|
"@metric:cpu": {
|
|
"3": {
|
|
"buckets": [{ "doc_count": 1, "key": 1000 }, { "doc_count": 3, "key": 2000 }]
|
|
}
|
|
},
|
|
"@metric:logins.count": {
|
|
"3": {
|
|
"buckets": [{ "doc_count": 2, "key": 1000 }, { "doc_count": 8, "key": 2000 }]
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}`
|
|
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.Series, ShouldHaveLength, 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)
|
|
|
|
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)
|
|
})
|
|
|
|
Convey("With dropfirst and last aggregation", func() {
|
|
targets := map[string]string{
|
|
"A": `{
|
|
"timeField": "@timestamp",
|
|
"metrics": [{ "type": "avg", "id": "1" }, { "type": "count" }],
|
|
"bucketAggs": [
|
|
{
|
|
"type": "date_histogram",
|
|
"field": "@timestamp",
|
|
"id": "2",
|
|
"settings": { "trimEdges": 1 }
|
|
}
|
|
]
|
|
}`,
|
|
}
|
|
response := `{
|
|
"responses": [
|
|
{
|
|
"aggregations": {
|
|
"2": {
|
|
"buckets": [
|
|
{
|
|
"1": { "value": 1000 },
|
|
"key": 1,
|
|
"doc_count": 369
|
|
},
|
|
{
|
|
"1": { "value": 2000 },
|
|
"key": 2,
|
|
"doc_count": 200
|
|
},
|
|
{
|
|
"1": { "value": 2000 },
|
|
"key": 3,
|
|
"doc_count": 200
|
|
}
|
|
]
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}`
|
|
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.Series, ShouldHaveLength, 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)
|
|
|
|
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)
|
|
})
|
|
|
|
Convey("No group by time", func() {
|
|
targets := map[string]string{
|
|
"A": `{
|
|
"timeField": "@timestamp",
|
|
"metrics": [{ "type": "avg", "id": "1" }, { "type": "count" }],
|
|
"bucketAggs": [{ "type": "terms", "field": "host", "id": "2" }]
|
|
}`,
|
|
}
|
|
response := `{
|
|
"responses": [
|
|
{
|
|
"aggregations": {
|
|
"2": {
|
|
"buckets": [
|
|
{
|
|
"1": { "value": 1000 },
|
|
"key": "server-1",
|
|
"doc_count": 369
|
|
},
|
|
{
|
|
"1": { "value": 2000 },
|
|
"key": "server-2",
|
|
"doc_count": 200
|
|
}
|
|
]
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}`
|
|
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, 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)
|
|
})
|
|
|
|
Convey("Multiple metrics of same type", func() {
|
|
targets := map[string]string{
|
|
"A": `{
|
|
"timeField": "@timestamp",
|
|
"metrics": [{ "type": "avg", "field": "test", "id": "1" }, { "type": "avg", "field": "test2", "id": "2" }],
|
|
"bucketAggs": [{ "type": "terms", "field": "host", "id": "2" }]
|
|
}`,
|
|
}
|
|
response := `{
|
|
"responses": [
|
|
{
|
|
"aggregations": {
|
|
"2": {
|
|
"buckets": [
|
|
{
|
|
"1": { "value": 1000 },
|
|
"2": { "value": 3000 },
|
|
"key": "server-1",
|
|
"doc_count": 369
|
|
}
|
|
]
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}`
|
|
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)
|
|
})
|
|
|
|
// 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)
|
|
// })
|
|
})
|
|
}
|
|
|
|
func newResponseParserForTest(tsdbQueries map[string]string, responseBody string) (*responseParser, error) {
|
|
from := time.Date(2018, 5, 15, 17, 50, 0, 0, time.UTC)
|
|
to := time.Date(2018, 5, 15, 17, 55, 0, 0, time.UTC)
|
|
fromStr := fmt.Sprintf("%d", from.UnixNano()/int64(time.Millisecond))
|
|
toStr := fmt.Sprintf("%d", to.UnixNano()/int64(time.Millisecond))
|
|
tsdbQuery := &tsdb.TsdbQuery{
|
|
Queries: []*tsdb.Query{},
|
|
TimeRange: tsdb.NewTimeRange(fromStr, toStr),
|
|
}
|
|
|
|
for refID, tsdbQueryBody := range tsdbQueries {
|
|
tsdbQueryJSON, err := simplejson.NewJson([]byte(tsdbQueryBody))
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
tsdbQuery.Queries = append(tsdbQuery.Queries, &tsdb.Query{
|
|
Model: tsdbQueryJSON,
|
|
RefId: refID,
|
|
})
|
|
}
|
|
|
|
var response es.MultiSearchResponse
|
|
err := json.Unmarshal([]byte(responseBody), &response)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
tsQueryParser := newTimeSeriesQueryParser()
|
|
queries, err := tsQueryParser.parse(tsdbQuery)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
return newResponseParser(response.Responses, queries), nil
|
|
}
|