mirror of https://github.com/grafana/grafana.git
elastic: add more backend tests (#59312)
* elastic: added backend snapshot tests * linter fixes
This commit is contained in:
Gábor Farkas
GitHub
parent
a7b2943dd1
commit
f1dfaa784a
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@ -42,22 +42,27 @@ func (s *Service) QueryData(ctx context.Context, req *backend.QueryDataRequest)
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return &backend.QueryDataResponse{}, err
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}
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return queryData(ctx, req.Queries, dsInfo, s.intervalCalculator)
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}
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// separate function to allow testing the whole transformation and query flow
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func queryData(ctx context.Context, queries []backend.DataQuery, dsInfo *es.DatasourceInfo, intervalCalculator intervalv2.Calculator) (*backend.QueryDataResponse, error) {
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// Support for version after their end-of-life (currently <7.10.0) was removed
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lastSupportedVersion, _ := semver.NewVersion("7.10.0")
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if dsInfo.ESVersion.LessThan(lastSupportedVersion) {
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return &backend.QueryDataResponse{}, fmt.Errorf("support for elasticsearch versions after their end-of-life (currently versions < 7.10) was removed")
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}
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if len(req.Queries) == 0 {
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if len(queries) == 0 {
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return &backend.QueryDataResponse{}, fmt.Errorf("query contains no queries")
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}
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client, err := es.NewClient(ctx, dsInfo, req.Queries[0].TimeRange)
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client, err := es.NewClient(ctx, dsInfo, queries[0].TimeRange)
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if err != nil {
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return &backend.QueryDataResponse{}, err
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}
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query := newTimeSeriesQuery(client, req.Queries, s.intervalCalculator)
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query := newTimeSeriesQuery(client, queries, intervalCalculator)
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return query.execute()
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}
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@ -0,0 +1,146 @@
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package elasticsearch
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import (
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"time"
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"github.com/Masterminds/semver"
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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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)
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type queryDataTestRoundTripper struct {
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requestCallback func(req *http.Request) error
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body []byte
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}
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// we fake the http-request-call. we return a fixed byte-array (defined by the test snapshot),
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// and we also check if the http-request-object has the correct data
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func (rt *queryDataTestRoundTripper) RoundTrip(req *http.Request) (*http.Response, error) {
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err := rt.requestCallback(req)
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if err != nil {
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return nil, err
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}
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return &http.Response{
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StatusCode: http.StatusOK,
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Header: http.Header{},
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Body: io.NopCloser(bytes.NewReader(rt.body)),
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}, nil
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}
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// we setup a fake datasource-info
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func newFlowTestDsInfo(body []byte, reuestCallback func(req *http.Request) error) *es.DatasourceInfo {
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client := http.Client{
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Transport: &queryDataTestRoundTripper{body: body, requestCallback: reuestCallback},
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}
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return &es.DatasourceInfo{
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ESVersion: semver.MustParse("8.5.0"),
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Interval: "Daily",
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Database: "[testdb-]YYYY.MM.DD",
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TimeField: "testtime",
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TimeInterval: "1s",
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URL: "http://localhost:9200",
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HTTPClient: &client,
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MaxConcurrentShardRequests: 42,
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IncludeFrozen: false,
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XPack: true,
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}
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}
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type queryDataTestQueryJSON struct {
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IntervalMs int64
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MaxDataPoints int64
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RefID string
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}
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// we take an array of json-bytes, that define the elastic queries,
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// and create full backend.DataQuery objects from them
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func newFlowTestQueries(allJsonBytes []byte) ([]backend.DataQuery, error) {
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timeRange := backend.TimeRange{
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From: time.UnixMilli(1668422437218),
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To: time.UnixMilli(1668422625668),
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}
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// we will need every separate query-item as a json-byte-array later,
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// so we only decode the "array", and keep the "items" undecoded.
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var jsonBytesArray []json.RawMessage
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err := json.Unmarshal(allJsonBytes, &jsonBytesArray)
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if err != nil {
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return nil, fmt.Errorf("error unmarshaling query-json: %w", err)
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}
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var queries []backend.DataQuery
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for _, jsonBytes := range jsonBytesArray {
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// we need to extract some fields from the json-array
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var jsonInfo queryDataTestQueryJSON
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err = json.Unmarshal(jsonBytes, &jsonInfo)
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if err != nil {
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return nil, err
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}
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// we setup the DataQuery, with values loaded from the json
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query := backend.DataQuery{
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RefID: jsonInfo.RefID,
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MaxDataPoints: jsonInfo.MaxDataPoints,
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Interval: time.Duration(jsonInfo.IntervalMs) * time.Millisecond,
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TimeRange: timeRange,
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JSON: jsonBytes,
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}
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queries = append(queries, query)
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}
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return queries, nil
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}
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type queryDataTestResult struct {
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response *backend.QueryDataResponse
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requestBytes []byte
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}
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func queryDataTest(queriesBytes []byte, responseBytes []byte) (queryDataTestResult, error) {
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queries, err := newFlowTestQueries(queriesBytes)
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if err != nil {
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return queryDataTestResult{}, err
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}
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requestBytesStored := false
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var requestBytes []byte
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dsInfo := newFlowTestDsInfo(responseBytes, func(req *http.Request) error {
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requestBytes, err = io.ReadAll(req.Body)
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bodyCloseError := req.Body.Close()
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if err != nil {
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return err
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}
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if bodyCloseError != nil {
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return bodyCloseError
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}
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requestBytesStored = true
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return nil
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})
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result, err := queryData(context.Background(), queries, dsInfo, intervalv2.NewCalculator())
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if err != nil {
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return queryDataTestResult{}, err
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}
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if !requestBytesStored {
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return queryDataTestResult{}, fmt.Errorf("request-bytes not stored")
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}
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return queryDataTestResult{
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response: result,
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requestBytes: requestBytes,
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}, nil
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}
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@ -0,0 +1,167 @@
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package elasticsearch
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import (
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"fmt"
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"os"
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"path/filepath"
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"regexp"
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"strings"
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"testing"
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"github.com/grafana/grafana-plugin-sdk-go/experimental"
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"github.com/stretchr/testify/require"
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)
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// these snapshot-tests test the whole request-response flow:
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// the inputs:
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// - the backend.DataQuery query
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// - the elastic-response json
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// the snapshot verifies:
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// - the elastic-request json
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// - the dataframe result
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// a regex that matches the request-snapshot-filenames, and extracts the name of the test
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var requestRe = regexp.MustCompile(`^(.*)\.request\.line\d+\.json$`)
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// the "elastic request" is often in multiple json-snapshot-files,
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// so we have to find them on disk, so we have to look at every file in
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// the folder.
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func findRequestSnapshots(t *testing.T, folder string) map[string][]string {
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allTestSnapshotFiles, err := os.ReadDir(folder)
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require.NoError(t, err)
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snapshots := make(map[string][]string)
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for _, file := range allTestSnapshotFiles {
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fileName := file.Name()
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match := requestRe.FindStringSubmatch(fileName)
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if len(match) == 2 {
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testName := match[1]
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files := append(snapshots[testName], filepath.Join(folder, fileName))
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snapshots[testName] = files
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}
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}
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return snapshots
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}
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// a regex that matches the response-snapshot-filenames, and extracts the name of the test
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var responseRe = regexp.MustCompile(`^([^\.]+)\.[^\.]+.golden.jsonc$`)
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func findResponseSnapshotCounts(t *testing.T, folder string) map[string]int {
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allTestSnapshotFiles, err := os.ReadDir(folder)
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require.NoError(t, err)
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snapshots := make(map[string]int)
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for _, file := range allTestSnapshotFiles {
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fileName := file.Name()
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match := responseRe.FindStringSubmatch(fileName)
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if len(match) == 2 {
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testName := match[1]
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snapshots[testName] = snapshots[testName] + 1
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}
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}
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return snapshots
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}
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func TestRequestSnapshots(t *testing.T) {
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tt := []struct {
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name string
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path string
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}{
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{name: "simple metric test", path: "metric_simple"},
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{name: "complex metric test", path: "metric_complex"},
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{name: "multi metric test", path: "metric_multi"},
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}
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queryHeader := []byte(`
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{
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"ignore_unavailable": true,
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"index": "testdb-2022.11.14",
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"search_type": "query_then_fetch"
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}
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`)
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requestSnapshots := findRequestSnapshots(t, "testdata_request")
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for _, test := range tt {
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t.Run(test.name, func(t *testing.T) {
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responseBytes := []byte(`{"responses":[]}`)
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queriesFileName := filepath.Join("testdata_request", test.path+".queries.json")
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queriesBytes, err := os.ReadFile(filepath.Clean(queriesFileName))
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require.NoError(t, err)
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var requestLines [][]byte
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for _, fileName := range requestSnapshots[test.path] {
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bytes, err := os.ReadFile(filepath.Clean(fileName))
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require.NoError(t, err)
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requestLines = append(requestLines, bytes)
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}
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require.True(t, len(requestLines) > 0, "requestLines must not be empty")
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result, err := queryDataTest(queriesBytes, responseBytes)
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require.NoError(t, err)
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reqLines := strings.Split(strings.TrimSpace(string(result.requestBytes)), "\n")
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require.Len(t, reqLines, len(requestLines)*2)
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for i, expectedRequestLine := range requestLines {
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actualRequestHeaderLine := reqLines[2*i]
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actualRequestLine := reqLines[2*i+1]
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require.JSONEq(t, string(queryHeader), actualRequestHeaderLine, fmt.Sprintf("invalid request-header at index: %v", i))
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require.JSONEq(t, string(expectedRequestLine), actualRequestLine, fmt.Sprintf("invalid request at index: %v", i))
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}
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})
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}
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}
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func TestResponseSnapshots(t *testing.T) {
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tt := []struct {
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name string
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path string
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}{
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{name: "simple metric test", path: "metric_simple"},
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{name: "complex metric test", path: "metric_complex"},
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{name: "multi metric test", path: "metric_multi"},
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}
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snapshotCount := findResponseSnapshotCounts(t, "testdata_response")
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for _, test := range tt {
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t.Run(test.name, func(t *testing.T) {
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responseFileName := filepath.Join("testdata_response", test.path+".response.json")
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responseBytes, err := os.ReadFile(filepath.Clean(responseFileName))
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require.NoError(t, err)
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queriesFileName := filepath.Join("testdata_response", test.path+".queries.json")
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queriesBytes, err := os.ReadFile(filepath.Clean(queriesFileName))
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require.NoError(t, err)
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result, err := queryDataTest(queriesBytes, responseBytes)
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require.NoError(t, err)
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// first we need to test that the number of items in `result.response.Responses`,
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// is exactly the same as the count of our response snapshot files
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// (this is so that we avoid situations where we provide more snapshot-files than
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// what is returned)
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expectedResponseCount := snapshotCount[test.path]
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require.True(t, expectedResponseCount > 0, "response snapshots not found")
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require.Len(t, result.response.Responses, expectedResponseCount)
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for refId, dataRes := range result.response.Responses {
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goldenFileName := fmt.Sprintf("%v.%v.golden", test.path, refId)
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// we make a copy of the variable to avoid this linter-warning:
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// "G601: Implicit memory aliasing in for loop."
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dataResCopy := dataRes
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experimental.CheckGoldenJSONResponse(t, "testdata_response", goldenFileName, &dataResCopy, false)
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}
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})
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}
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}
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@ -0,0 +1,52 @@
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[
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{
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"alias": "",
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"bucketAggs": [
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{
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"field": "label",
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"id": "4",
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"settings": {
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"min_doc_count": "1",
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"order": "desc",
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"orderBy": "_term",
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"size": "10"
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},
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"type": "terms"
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},
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{
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"field": "testtime",
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"id": "2",
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"settings": {
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"interval": "1m",
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"min_doc_count": "0",
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"timeZone": "utc",
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"trimEdges": "0"
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},
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"type": "date_histogram"
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}
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],
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"datasource": {
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"uid": "haha",
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"type": "elasticsearch"
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},
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"datasourceId": 42,
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"hide": true,
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"metrics": [
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{
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"field": "float",
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"id": "1",
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"type": "max"
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},
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{
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"field": "float",
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"id": "3",
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"type": "min"
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}
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],
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"query": "",
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"refId": "a",
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"timeField": "testtime",
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"intervalMs": 200,
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"maxDataPoints": 779
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}
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]
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@ -0,0 +1,53 @@
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{
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"aggs": {
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"4": {
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"aggs": {
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"2": {
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"aggs": {
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"1": {
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"max": {
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"field": "float"
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}
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},
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"3": {
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"min": {
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"field": "float"
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}
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}
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},
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"date_histogram": {
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"extended_bounds": {
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"max": 1668422625668,
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"min": 1668422437218
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},
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"field": "testtime",
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"fixed_interval": "1m",
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"format": "epoch_millis",
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"min_doc_count": 0
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}
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}
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},
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"terms": {
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"field": "label",
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"order": {
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"_key": "desc"
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},
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"size": 10
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}
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}
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},
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"query": {
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"bool": {
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"filter": {
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"range": {
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"testtime": {
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"format": "epoch_millis",
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"gte": 1668422437218,
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"lte": 1668422625668
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}
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}
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}
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}
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},
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"size": 0
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}
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@ -0,0 +1,41 @@
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[
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{
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"refId": "a",
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"datasource": { "uid": "haha", "type": "elasticsearch" },
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"datasourceId": 42,
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"query": "",
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"alias": "",
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"metrics": [{ "id": "1", "type": "max", "field": "float" }],
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"bucketAggs": [
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{
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"type": "date_histogram",
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"id": "2",
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"settings": { "interval": "auto" },
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"field": "testtime"
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}
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],
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"timeField": "testtime",
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"intervalMs": 30000,
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"maxDataPoints": 814
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},
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{
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"datasource": { "uid": "haha", "type": "elasticsearch" },
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"datasourceId": 42,
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"refId": "b",
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"hide": false,
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"query": "",
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"alias": "",
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"metrics": [{ "id": "1", "type": "min", "field": "float" }],
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"bucketAggs": [
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{
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"type": "date_histogram",
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"id": "2",
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"settings": { "interval": "auto" },
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"field": "testtime"
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}
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],
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"timeField": "testtime",
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"intervalMs": 30000,
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"maxDataPoints": 814
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}
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]
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@ -0,0 +1,37 @@
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{
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"size": 0,
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"query": {
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"bool": {
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"filter": {
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"range": {
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"testtime": {
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"gte": 1668422437218,
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"lte": 1668422625668,
|
||||
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},
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{
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},
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}
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||||
]
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||||
}
|
||||
|
|
@ -0,0 +1,45 @@
|
|||
[
|
||||
{
|
||||
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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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|
||||
"order": "desc",
|
||||
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|
||||
"size": "10"
|
||||
},
|
||||
"type": "terms"
|
||||
},
|
||||
{
|
||||
"field": "testtime",
|
||||
"id": "2",
|
||||
"settings": {
|
||||
"interval": "1m"
|
||||
},
|
||||
"type": "date_histogram"
|
||||
}
|
||||
],
|
||||
"datasource": {
|
||||
"type": "elasticsearch",
|
||||
"uid": "haha"
|
||||
},
|
||||
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||||
"expression": "",
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||||
"hide": true,
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||||
"intervalMs": 200,
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||||
"maxDataPoints": 1248,
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||||
"metrics": [
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||||
{
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||||
"id": "1",
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||||
"type": "count"
|
||||
}
|
||||
],
|
||||
"query": "",
|
||||
"refId": "a",
|
||||
"timeField": "testtime",
|
||||
"window": ""
|
||||
}
|
||||
]
|
||||
|
|
@ -0,0 +1,56 @@
|
|||
{
|
||||
"took": 7,
|
||||
"responses": [
|
||||
{
|
||||
"took": 7,
|
||||
"timed_out": false,
|
||||
"_shards": { "total": 1, "successful": 1, "skipped": 0, "failed": 0 },
|
||||
"hits": { "total": { "value": 255, "relation": "eq" }, "max_score": null, "hits": [] },
|
||||
"aggregations": {
|
||||
"3": {
|
||||
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|
||||
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|
||||
"buckets": [
|
||||
{
|
||||
"key": "val3",
|
||||
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|
||||
"2": {
|
||||
"buckets": [
|
||||
{ "key_as_string": "1668422400000", "key": 1668422400000, "doc_count": 0 },
|
||||
{ "key_as_string": "1668422460000", "key": 1668422460000, "doc_count": 27 },
|
||||
{ "key_as_string": "1668422520000", "key": 1668422520000, "doc_count": 21 },
|
||||
{ "key_as_string": "1668422580000", "key": 1668422580000, "doc_count": 31 }
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"key": "val2",
|
||||
"doc_count": 89,
|
||||
"2": {
|
||||
"buckets": [
|
||||
{ "key_as_string": "1668422400000", "key": 1668422400000, "doc_count": 0 },
|
||||
{ "key_as_string": "1668422460000", "key": 1668422460000, "doc_count": 28 },
|
||||
{ "key_as_string": "1668422520000", "key": 1668422520000, "doc_count": 22 },
|
||||
{ "key_as_string": "1668422580000", "key": 1668422580000, "doc_count": 39 }
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"key": "val1",
|
||||
"doc_count": 87,
|
||||
"2": {
|
||||
"buckets": [
|
||||
{ "key_as_string": "1668422400000", "key": 1668422400000, "doc_count": 0 },
|
||||
{ "key_as_string": "1668422460000", "key": 1668422460000, "doc_count": 26 },
|
||||
{ "key_as_string": "1668422520000", "key": 1668422520000, "doc_count": 20 },
|
||||
{ "key_as_string": "1668422580000", "key": 1668422580000, "doc_count": 41 }
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"status": 200
|
||||
}
|
||||
]
|
||||
}
|
||||
Loading…
Reference in New Issue