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Histogram: Remove obsolete work-around code
Signed-off-by: beorn7 <beorn@grafana.com>
This commit is contained in:
parent
bcc919cb19
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@ -513,188 +513,6 @@ func (api *API) queryRange(r *http.Request) (result apiFuncResult) {
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}, nil, res.Warnings, qry.Close}
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}
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// TODO: remove this when we have sparse histogram support in PromQL.
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// This is a hack to query sparse histogram for buckets.
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//func (api *API) queryRange(r *http.Request) (result apiFuncResult) {
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// start, err := parseTime(r.FormValue("start"))
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// if err != nil {
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// return invalidParamError(err, "start")
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// }
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// end, err := parseTime(r.FormValue("end"))
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// if err != nil {
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// return invalidParamError(err, "end")
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// }
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// if end.Before(start) {
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// return invalidParamError(errors.New("end timestamp must not be before start time"), "end")
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// }
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//
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// step, err := parseDuration(r.FormValue("step"))
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// if err != nil {
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// return invalidParamError(err, "step")
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// }
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//
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// if step <= 0 {
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// return invalidParamError(errors.New("zero or negative query resolution step widths are not accepted. Try a positive integer"), "step")
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// }
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//
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// // For safety, limit the number of returned points per timeseries.
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// // This is sufficient for 60s resolution for a week or 1h resolution for a year.
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// if end.Sub(start)/step > 11000 {
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// err := errors.New("exceeded maximum resolution of 11,000 points per timeseries. Try decreasing the query resolution (?step=XX)")
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// return apiFuncResult{nil, &apiError{errorBadData, err}, nil, nil}
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// }
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//
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// ctx := r.Context()
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// if to := r.FormValue("timeout"); to != "" {
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// var cancel context.CancelFunc
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// timeout, err := parseDuration(to)
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// if err != nil {
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// return invalidParamError(err, "timeout")
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// }
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//
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// ctx, cancel = context.WithTimeout(ctx, timeout)
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// defer cancel()
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// }
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//
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// expr, err := parser.ParseExpr(r.FormValue("query"))
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// if err != nil {
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// return apiFuncResult{nil, &apiError{errorBadData, err}, nil, nil}
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// }
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//
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// selectors := parser.ExtractSelectors(expr)
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// if len(selectors) < 1 {
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// return apiFuncResult{nil, nil, nil, nil}
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// }
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//
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// if len(selectors) > 1 {
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// return apiFuncResult{nil, &apiError{errorBadData, errors.New("need exactly 1 selector")}, nil, nil}
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// }
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//
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// hasRate, rateDuration := false, time.Duration(0)
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// parser.Inspect(expr, func(node parser.Node, path []parser.Node) error {
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// switch n := node.(type) {
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// case *parser.Call:
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// if n.Func.Name == "rate" {
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// hasRate = true
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// rateDuration = n.Args[0].(*parser.MatrixSelector).Range
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// return errors.New("stop it here")
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// }
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// }
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// return nil
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// })
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// var numRateSamples int
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// if hasRate {
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// numRateSamples = int(end.Sub(start)/step + 1)
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// if start.Add(time.Duration(numRateSamples-1) * step).After(end) {
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// numRateSamples--
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// }
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// start = start.Add(-rateDuration) // Adjusting for the first point lookback.
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// }
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//
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// q, err := api.Queryable.Querier(ctx, timestamp.FromTime(start), timestamp.FromTime(end))
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// if err != nil {
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// return apiFuncResult{nil, &apiError{errorExec, err}, nil, nil}
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// }
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//
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// res := promql.Matrix{}
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// ss := q.Select(true, nil, selectors[0]...)
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//
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// for ss.Next() {
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// resSeries := make(map[float64]promql.Series) // le -> series.
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//
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// s := ss.At()
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// it := s.Iterator()
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// for it.Next() { // Per histogram.
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// t, h := it.AtHistogram()
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// buckets := histogram.CumulativeExpandSparseHistogram(h)
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// for buckets.Next() {
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// // Every bucket is a different series with different "le".
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// b := buckets.At()
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// rs, ok := resSeries[b.Le]
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// if !ok {
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// rs = promql.Series{
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// Metric: append(
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// s.Labels(),
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// labels.Label{Name: "le", Value: fmt.Sprintf("%.16f", b.Le)}, // TODO: Set some precision for 'le'?
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// ),
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// }
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// sort.Sort(rs.Metric)
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// resSeries[b.Le] = rs
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// }
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//
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// rs.Points = append(rs.Points, promql.Point{
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// T: t,
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// V: float64(b.Count),
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// })
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// resSeries[b.Le] = rs
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// }
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// if buckets.Err() != nil {
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// return apiFuncResult{nil, &apiError{errorExec, buckets.Err()}, nil, nil}
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// }
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// }
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//
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// for _, rs := range resSeries {
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// res = append(res, rs)
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// }
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// }
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//
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// if hasRate {
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// newRes := make(promql.Matrix, len(res))
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// for i := range newRes {
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// newRes[i].Metric = res[i].Metric
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// points := make([]promql.Point, numRateSamples)
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//
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// rawPoints := res[i].Points
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//
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// startIdx, endIdx := 0, 0
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// for idx := range points {
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// pointTime := start.Add(time.Duration(idx) * step)
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// lookbackTime := pointTime.Add(-rateDuration)
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// points[idx].T = timestamp.FromTime(pointTime)
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// if len(rawPoints) == 0 {
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// continue
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// }
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//
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// for startIdx < len(rawPoints) && timestamp.Time(rawPoints[startIdx].T).Before(lookbackTime) {
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// startIdx++
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// }
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// if startIdx >= len(rawPoints) {
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// startIdx = len(rawPoints) - 1
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// }
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//
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// for endIdx < len(rawPoints) && timestamp.Time(rawPoints[endIdx].T).Before(pointTime) {
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// endIdx++
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// }
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// if endIdx >= len(rawPoints) {
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// endIdx = len(rawPoints) - 1
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// } else if timestamp.Time(rawPoints[endIdx].T).After(pointTime) && (len(rawPoints) == 1 || endIdx == 0) {
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// continue
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// } else {
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// endIdx--
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// }
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//
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// valDiff := rawPoints[endIdx].V - rawPoints[startIdx].V
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// timeDiffSeconds := float64(timestamp.Time(rawPoints[endIdx].T).Sub(timestamp.Time(rawPoints[startIdx].T))) / float64(time.Second)
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//
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// if timeDiffSeconds != 0 {
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// points[idx].V = valDiff / timeDiffSeconds
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// }
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// }
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//
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// newRes[i].Points = points
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// }
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//
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// res = newRes
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// }
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//
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// sort.Sort(res)
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//
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// return apiFuncResult{&queryData{
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// ResultType: res.Type(),
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// Result: res,
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// }, nil, nil, nil}
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//}
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func (api *API) queryExemplars(r *http.Request) apiFuncResult {
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start, err := parseTimeParam(r, "start", minTime)
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if err != nil {
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