Files
grafana/pkg/tsdb/elasticsearch/query_test.go
Marcus Efraimsson 77400cef08 elasticsearch: refactor and cleanup
Move time series query logic to specific file.
Remove model parser and move to time series query file, adds parser test.
2018-05-23 14:36:41 +02:00

298 lines
7.0 KiB
Go

package elasticsearch
import (
"encoding/json"
"fmt"
"reflect"
"strconv"
"strings"
"testing"
"github.com/grafana/grafana/pkg/components/simplejson"
"github.com/grafana/grafana/pkg/models"
"github.com/grafana/grafana/pkg/tsdb"
. "github.com/smartystreets/goconvey/convey"
)
func testElasticSearchResponse(query Query, expectedElasticSearchRequestJSON string) {
var queryExpectedJSONInterface, queryJSONInterface interface{}
jsonDate, _ := simplejson.NewJson([]byte(`{"esVersion":2}`))
dsInfo := &models.DataSource{
Database: "grafana-test",
JsonData: jsonDate,
}
testTimeRange := tsdb.NewTimeRange("5m", "now")
s, err := query.Build(&tsdb.TsdbQuery{TimeRange: testTimeRange}, dsInfo)
So(err, ShouldBeNil)
queryJSON := strings.Split(s, "\n")[1]
err = json.Unmarshal([]byte(queryJSON), &queryJSONInterface)
So(err, ShouldBeNil)
expectedElasticSearchRequestJSON = strings.Replace(
expectedElasticSearchRequestJSON,
"<FROM_TIMESTAMP>",
strconv.FormatInt(testTimeRange.GetFromAsMsEpoch(), 10),
-1,
)
expectedElasticSearchRequestJSON = strings.Replace(
expectedElasticSearchRequestJSON,
"<TO_TIMESTAMP>",
strconv.FormatInt(testTimeRange.GetToAsMsEpoch(), 10),
-1,
)
err = json.Unmarshal([]byte(expectedElasticSearchRequestJSON), &queryExpectedJSONInterface)
So(err, ShouldBeNil)
result := reflect.DeepEqual(queryExpectedJSONInterface, queryJSONInterface)
if !result {
fmt.Printf("ERROR: %s \n != \n %s", expectedElasticSearchRequestJSON, queryJSON)
}
So(result, ShouldBeTrue)
}
func TestElasticSearchQueryBuilder(t *testing.T) {
Convey("Elasticsearch QueryBuilder query testing", t, func() {
Convey("Build test average metric with moving average", func() {
var expectedElasticsearchQueryJSON = `
{
"size": 0,
"query": {
"bool": {
"filter": [
{
"range": {
"timestamp": {
"gte": "<FROM_TIMESTAMP>",
"lte": "<TO_TIMESTAMP>",
"format": "epoch_millis"
}
}
},
{
"query_string": {
"analyze_wildcard": true,
"query": "(test:query) AND (name:sample)"
}
}
]
}
},
"aggs": {
"2": {
"date_histogram": {
"interval": "200ms",
"field": "timestamp",
"min_doc_count": 0,
"extended_bounds": {
"min": "<FROM_TIMESTAMP>",
"max": "<TO_TIMESTAMP>"
},
"format": "epoch_millis"
},
"aggs": {
"1": {
"avg": {
"field": "value",
"script": {
"inline": "_value * 2"
}
}
},
"3": {
"moving_avg": {
"buckets_path": "1",
"window": 5,
"model": "simple",
"minimize": false
}
}
}
}
}
}`
testElasticSearchResponse(avgWithMovingAvg, expectedElasticsearchQueryJSON)
})
Convey("Test Wildcards and Quotes", func() {
expectedElasticsearchQueryJSON := `
{
"size": 0,
"query": {
"bool": {
"filter": [
{
"range": {
"timestamp": {
"gte": "<FROM_TIMESTAMP>",
"lte": "<TO_TIMESTAMP>",
"format": "epoch_millis"
}
}
},
{
"query_string": {
"analyze_wildcard": true,
"query": "scope:$location.leagueconnect.api AND name:*CreateRegistration AND name:\"*.201-responses.rate\""
}
}
]
}
},
"aggs": {
"2": {
"aggs": {
"1": {
"sum": {
"field": "value"
}
}
},
"date_histogram": {
"extended_bounds": {
"max": "<TO_TIMESTAMP>",
"min": "<FROM_TIMESTAMP>"
},
"field": "timestamp",
"format": "epoch_millis",
"min_doc_count": 0
}
}
}
}`
testElasticSearchResponse(wildcardsAndQuotes, expectedElasticsearchQueryJSON)
})
Convey("Test Term Aggregates", func() {
expectedElasticsearchQueryJSON := `
{
"size": 0,
"query": {
"bool": {
"filter": [
{
"range": {
"timestamp": {
"gte": "<FROM_TIMESTAMP>",
"lte": "<TO_TIMESTAMP>",
"format": "epoch_millis"
}
}
},
{
"query_string": {
"analyze_wildcard": true,
"query": "(scope:*.hmp.metricsd) AND (name_raw:builtin.general.*_instance_count)"
}
}
]
}
},
"aggs": {"4":{"aggs":{"2":{"aggs":{"1":{"sum":{"field":"value"}}},"date_histogram":{"extended_bounds":{"max":"<TO_TIMESTAMP>","min":"<FROM_TIMESTAMP>"},"field":"timestamp","format":"epoch_millis","interval":"200ms","min_doc_count":0}}},"terms":{"field":"name_raw","order":{"_term":"desc"},"size":10}}}
}`
testElasticSearchResponse(termAggs, expectedElasticsearchQueryJSON)
})
Convey("Test Filters Aggregates", func() {
expectedElasticsearchQueryJSON := `{
"size": 0,
"query": {
"bool": {
"filter": [
{
"range": {
"time": {
"gte": "<FROM_TIMESTAMP>",
"lte": "<TO_TIMESTAMP>",
"format": "epoch_millis"
}
}
},
{
"query_string": {
"analyze_wildcard": true,
"query": "*"
}
}
]
}
},
"aggs": {
"3": {
"filters": {
"filters": {
"hello": {
"query_string": {
"query": "host:\"67.65.185.232\"",
"analyze_wildcard": true
}
}
}
},
"aggs": {
"2": {
"date_histogram": {
"interval": "200ms",
"field": "time",
"min_doc_count": 0,
"extended_bounds": {
"min": "<FROM_TIMESTAMP>",
"max": "<TO_TIMESTAMP>"
},
"format": "epoch_millis"
},
"aggs": {}
}
}
}
}
}
`
testElasticSearchResponse(filtersAggs, expectedElasticsearchQueryJSON)
})
})
}
func makeTime(hour int) string {
//unixtime 1500000000 == 2017-07-14T02:40:00+00:00
return strconv.Itoa((1500000000 + hour*60*60) * 1000)
}
func getIndexListByTime(pattern string, interval string, hour int) string {
timeRange := &tsdb.TimeRange{
From: makeTime(0),
To: makeTime(hour),
}
return getIndexList(pattern, interval, timeRange)
}
func TestElasticsearchGetIndexList(t *testing.T) {
Convey("Test Elasticsearch getIndex ", t, func() {
Convey("Parse Interval Formats", func() {
So(getIndexListByTime("[logstash-]YYYY.MM.DD", "Daily", 48),
ShouldEqual, "logstash-2017.07.14,logstash-2017.07.15,logstash-2017.07.16")
So(len(strings.Split(getIndexListByTime("[logstash-]YYYY.MM.DD.HH", "Hourly", 3), ",")),
ShouldEqual, 4)
So(getIndexListByTime("[logstash-]YYYY.W", "Weekly", 100),
ShouldEqual, "logstash-2017.28,logstash-2017.29")
So(getIndexListByTime("[logstash-]YYYY.MM", "Monthly", 700),
ShouldEqual, "logstash-2017.07,logstash-2017.08")
So(getIndexListByTime("[logstash-]YYYY", "Yearly", 10000),
ShouldEqual, "logstash-2017,logstash-2018,logstash-2019")
})
Convey("No Interval", func() {
index := getIndexListByTime("logstash-test", "", 1)
So(index, ShouldEqual, "logstash-test")
})
})
}