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812 lines
24 KiB
812 lines
24 KiB
// Copyright 2017 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package remote
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import (
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"errors"
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"fmt"
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"io"
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"math"
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"net/http"
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"sort"
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"strings"
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"sync"
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"github.com/gogo/protobuf/proto"
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"github.com/golang/snappy"
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"github.com/prometheus/common/model"
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"github.com/prometheus/prometheus/model/exemplar"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/model/labels"
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"github.com/prometheus/prometheus/model/textparse"
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"github.com/prometheus/prometheus/prompb"
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"github.com/prometheus/prometheus/storage"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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"github.com/prometheus/prometheus/tsdb/chunks"
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)
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// decodeReadLimit is the maximum size of a read request body in bytes.
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const decodeReadLimit = 32 * 1024 * 1024
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type HTTPError struct {
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msg string
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status int
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}
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func (e HTTPError) Error() string {
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return e.msg
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}
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func (e HTTPError) Status() int {
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return e.status
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}
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// DecodeReadRequest reads a remote.Request from a http.Request.
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func DecodeReadRequest(r *http.Request) (*prompb.ReadRequest, error) {
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compressed, err := io.ReadAll(io.LimitReader(r.Body, decodeReadLimit))
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if err != nil {
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return nil, err
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}
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reqBuf, err := snappy.Decode(nil, compressed)
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if err != nil {
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return nil, err
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}
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var req prompb.ReadRequest
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if err := proto.Unmarshal(reqBuf, &req); err != nil {
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return nil, err
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}
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return &req, nil
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}
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// EncodeReadResponse writes a remote.Response to a http.ResponseWriter.
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func EncodeReadResponse(resp *prompb.ReadResponse, w http.ResponseWriter) error {
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data, err := proto.Marshal(resp)
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if err != nil {
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return err
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}
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compressed := snappy.Encode(nil, data)
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_, err = w.Write(compressed)
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return err
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}
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// ToQuery builds a Query proto.
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func ToQuery(from, to int64, matchers []*labels.Matcher, hints *storage.SelectHints) (*prompb.Query, error) {
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ms, err := toLabelMatchers(matchers)
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if err != nil {
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return nil, err
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}
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var rp *prompb.ReadHints
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if hints != nil {
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rp = &prompb.ReadHints{
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StartMs: hints.Start,
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EndMs: hints.End,
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StepMs: hints.Step,
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Func: hints.Func,
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Grouping: hints.Grouping,
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By: hints.By,
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RangeMs: hints.Range,
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}
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}
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return &prompb.Query{
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StartTimestampMs: from,
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EndTimestampMs: to,
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Matchers: ms,
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Hints: rp,
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}, nil
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}
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// ToQueryResult builds a QueryResult proto.
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func ToQueryResult(ss storage.SeriesSet, sampleLimit int) (*prompb.QueryResult, storage.Warnings, error) {
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numSamples := 0
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resp := &prompb.QueryResult{}
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var iter chunkenc.Iterator
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for ss.Next() {
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series := ss.At()
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iter = series.Iterator(iter)
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var (
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samples []prompb.Sample
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histograms []prompb.Histogram
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)
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for valType := iter.Next(); valType != chunkenc.ValNone; valType = iter.Next() {
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numSamples++
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if sampleLimit > 0 && numSamples > sampleLimit {
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return nil, ss.Warnings(), HTTPError{
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msg: fmt.Sprintf("exceeded sample limit (%d)", sampleLimit),
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status: http.StatusBadRequest,
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}
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}
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switch valType {
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case chunkenc.ValFloat:
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ts, val := iter.At()
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samples = append(samples, prompb.Sample{
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Timestamp: ts,
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Value: val,
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})
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case chunkenc.ValHistogram:
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ts, h := iter.AtHistogram()
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histograms = append(histograms, HistogramToHistogramProto(ts, h))
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case chunkenc.ValFloatHistogram:
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ts, fh := iter.AtFloatHistogram()
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histograms = append(histograms, FloatHistogramToHistogramProto(ts, fh))
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default:
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return nil, ss.Warnings(), fmt.Errorf("unrecognized value type: %s", valType)
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}
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}
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if err := iter.Err(); err != nil {
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return nil, ss.Warnings(), err
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}
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resp.Timeseries = append(resp.Timeseries, &prompb.TimeSeries{
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Labels: labelsToLabelsProto(series.Labels(), nil),
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Samples: samples,
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Histograms: histograms,
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})
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}
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return resp, ss.Warnings(), ss.Err()
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}
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// FromQueryResult unpacks and sorts a QueryResult proto.
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func FromQueryResult(sortSeries bool, res *prompb.QueryResult) storage.SeriesSet {
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series := make([]storage.Series, 0, len(res.Timeseries))
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for _, ts := range res.Timeseries {
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if err := validateLabelsAndMetricName(ts.Labels); err != nil {
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return errSeriesSet{err: err}
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}
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lbls := labelProtosToLabels(ts.Labels)
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series = append(series, &concreteSeries{labels: lbls, floats: ts.Samples, histograms: ts.Histograms})
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}
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if sortSeries {
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sort.Sort(byLabel(series))
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}
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return &concreteSeriesSet{
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series: series,
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}
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}
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// NegotiateResponseType returns first accepted response type that this server supports.
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// On the empty accepted list we assume that the SAMPLES response type was requested. This is to maintain backward compatibility.
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func NegotiateResponseType(accepted []prompb.ReadRequest_ResponseType) (prompb.ReadRequest_ResponseType, error) {
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if len(accepted) == 0 {
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accepted = []prompb.ReadRequest_ResponseType{prompb.ReadRequest_SAMPLES}
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}
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supported := map[prompb.ReadRequest_ResponseType]struct{}{
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prompb.ReadRequest_SAMPLES: {},
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prompb.ReadRequest_STREAMED_XOR_CHUNKS: {},
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}
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for _, resType := range accepted {
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if _, ok := supported[resType]; ok {
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return resType, nil
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}
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}
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return 0, fmt.Errorf("server does not support any of the requested response types: %v; supported: %v", accepted, supported)
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}
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// StreamChunkedReadResponses iterates over series, builds chunks and streams those to the caller.
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// It expects Series set with populated chunks.
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func StreamChunkedReadResponses(
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stream io.Writer,
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queryIndex int64,
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ss storage.ChunkSeriesSet,
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sortedExternalLabels []prompb.Label,
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maxBytesInFrame int,
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marshalPool *sync.Pool,
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) (storage.Warnings, error) {
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var (
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chks []prompb.Chunk
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lbls []prompb.Label
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iter chunks.Iterator
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)
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for ss.Next() {
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series := ss.At()
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iter = series.Iterator(iter)
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lbls = MergeLabels(labelsToLabelsProto(series.Labels(), lbls), sortedExternalLabels)
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maxDataLength := maxBytesInFrame
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for _, lbl := range lbls {
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maxDataLength -= lbl.Size()
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}
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frameBytesLeft := maxDataLength
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isNext := iter.Next()
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// Send at most one series per frame; series may be split over multiple frames according to maxBytesInFrame.
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for isNext {
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chk := iter.At()
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if chk.Chunk == nil {
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return ss.Warnings(), fmt.Errorf("StreamChunkedReadResponses: found not populated chunk returned by SeriesSet at ref: %v", chk.Ref)
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}
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// Cut the chunk.
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chks = append(chks, prompb.Chunk{
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MinTimeMs: chk.MinTime,
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MaxTimeMs: chk.MaxTime,
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Type: prompb.Chunk_Encoding(chk.Chunk.Encoding()),
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Data: chk.Chunk.Bytes(),
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})
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frameBytesLeft -= chks[len(chks)-1].Size()
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// We are fine with minor inaccuracy of max bytes per frame. The inaccuracy will be max of full chunk size.
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isNext = iter.Next()
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if frameBytesLeft > 0 && isNext {
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continue
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}
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resp := &prompb.ChunkedReadResponse{
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ChunkedSeries: []*prompb.ChunkedSeries{
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{Labels: lbls, Chunks: chks},
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},
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QueryIndex: queryIndex,
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}
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b, err := resp.PooledMarshal(marshalPool)
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if err != nil {
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return ss.Warnings(), fmt.Errorf("marshal ChunkedReadResponse: %w", err)
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}
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if _, err := stream.Write(b); err != nil {
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return ss.Warnings(), fmt.Errorf("write to stream: %w", err)
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}
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// We immediately flush the Write() so it is safe to return to the pool.
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marshalPool.Put(&b)
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chks = chks[:0]
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frameBytesLeft = maxDataLength
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}
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if err := iter.Err(); err != nil {
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return ss.Warnings(), err
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}
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}
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return ss.Warnings(), ss.Err()
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}
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// MergeLabels merges two sets of sorted proto labels, preferring those in
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// primary to those in secondary when there is an overlap.
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func MergeLabels(primary, secondary []prompb.Label) []prompb.Label {
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result := make([]prompb.Label, 0, len(primary)+len(secondary))
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i, j := 0, 0
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for i < len(primary) && j < len(secondary) {
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switch {
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case primary[i].Name < secondary[j].Name:
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result = append(result, primary[i])
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i++
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case primary[i].Name > secondary[j].Name:
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result = append(result, secondary[j])
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j++
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default:
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result = append(result, primary[i])
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i++
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j++
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}
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}
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for ; i < len(primary); i++ {
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result = append(result, primary[i])
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}
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for ; j < len(secondary); j++ {
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result = append(result, secondary[j])
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}
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return result
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}
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type byLabel []storage.Series
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func (a byLabel) Len() int { return len(a) }
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func (a byLabel) Swap(i, j int) { a[i], a[j] = a[j], a[i] }
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func (a byLabel) Less(i, j int) bool { return labels.Compare(a[i].Labels(), a[j].Labels()) < 0 }
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// errSeriesSet implements storage.SeriesSet, just returning an error.
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type errSeriesSet struct {
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err error
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}
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func (errSeriesSet) Next() bool {
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return false
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}
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func (errSeriesSet) At() storage.Series {
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return nil
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}
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func (e errSeriesSet) Err() error {
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return e.err
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}
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func (e errSeriesSet) Warnings() storage.Warnings { return nil }
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// concreteSeriesSet implements storage.SeriesSet.
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type concreteSeriesSet struct {
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cur int
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series []storage.Series
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}
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func (c *concreteSeriesSet) Next() bool {
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c.cur++
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return c.cur-1 < len(c.series)
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}
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func (c *concreteSeriesSet) At() storage.Series {
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return c.series[c.cur-1]
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}
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func (c *concreteSeriesSet) Err() error {
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return nil
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}
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func (c *concreteSeriesSet) Warnings() storage.Warnings { return nil }
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// concreteSeries implements storage.Series.
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type concreteSeries struct {
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labels labels.Labels
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floats []prompb.Sample
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histograms []prompb.Histogram
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}
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func (c *concreteSeries) Labels() labels.Labels {
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return c.labels.Copy()
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}
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func (c *concreteSeries) Iterator(it chunkenc.Iterator) chunkenc.Iterator {
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if csi, ok := it.(*concreteSeriesIterator); ok {
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csi.reset(c)
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return csi
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}
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return newConcreteSeriesIterator(c)
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}
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// concreteSeriesIterator implements storage.SeriesIterator.
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type concreteSeriesIterator struct {
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floatsCur int
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histogramsCur int
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curValType chunkenc.ValueType
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series *concreteSeries
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}
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func newConcreteSeriesIterator(series *concreteSeries) chunkenc.Iterator {
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return &concreteSeriesIterator{
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floatsCur: -1,
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histogramsCur: -1,
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curValType: chunkenc.ValNone,
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series: series,
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}
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}
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func (c *concreteSeriesIterator) reset(series *concreteSeries) {
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c.floatsCur = -1
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c.histogramsCur = -1
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c.curValType = chunkenc.ValNone
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c.series = series
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}
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// Seek implements storage.SeriesIterator.
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func (c *concreteSeriesIterator) Seek(t int64) chunkenc.ValueType {
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if c.floatsCur == -1 {
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c.floatsCur = 0
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}
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if c.histogramsCur == -1 {
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c.histogramsCur = 0
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}
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if c.floatsCur >= len(c.series.floats) && c.histogramsCur >= len(c.series.histograms) {
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return chunkenc.ValNone
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}
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// No-op check.
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if (c.curValType == chunkenc.ValFloat && c.series.floats[c.floatsCur].Timestamp >= t) ||
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((c.curValType == chunkenc.ValHistogram || c.curValType == chunkenc.ValFloatHistogram) && c.series.histograms[c.histogramsCur].Timestamp >= t) {
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return c.curValType
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}
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c.curValType = chunkenc.ValNone
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// Binary search between current position and end for both float and histograms samples.
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c.floatsCur += sort.Search(len(c.series.floats)-c.floatsCur, func(n int) bool {
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return c.series.floats[n+c.floatsCur].Timestamp >= t
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})
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c.histogramsCur += sort.Search(len(c.series.histograms)-c.histogramsCur, func(n int) bool {
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return c.series.histograms[n+c.histogramsCur].Timestamp >= t
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})
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switch {
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case c.floatsCur < len(c.series.floats) && c.histogramsCur < len(c.series.histograms):
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// If float samples and histogram samples have overlapping timestamps prefer the float samples.
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if c.series.floats[c.floatsCur].Timestamp <= c.series.histograms[c.histogramsCur].Timestamp {
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c.curValType = chunkenc.ValFloat
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} else {
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c.curValType = getHistogramValType(&c.series.histograms[c.histogramsCur])
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}
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// When the timestamps do not overlap the cursor for the non-selected sample type has advanced too
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// far; we decrement it back down here.
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if c.series.floats[c.floatsCur].Timestamp != c.series.histograms[c.histogramsCur].Timestamp {
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if c.curValType == chunkenc.ValFloat {
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c.histogramsCur--
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} else {
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c.floatsCur--
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}
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}
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case c.floatsCur < len(c.series.floats):
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c.curValType = chunkenc.ValFloat
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case c.histogramsCur < len(c.series.histograms):
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c.curValType = getHistogramValType(&c.series.histograms[c.histogramsCur])
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}
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return c.curValType
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}
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func getHistogramValType(h *prompb.Histogram) chunkenc.ValueType {
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if h.IsFloatHistogram() {
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return chunkenc.ValFloatHistogram
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}
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return chunkenc.ValHistogram
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}
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// At implements chunkenc.Iterator.
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func (c *concreteSeriesIterator) At() (t int64, v float64) {
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if c.curValType != chunkenc.ValFloat {
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panic("iterator is not on a float sample")
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}
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s := c.series.floats[c.floatsCur]
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return s.Timestamp, s.Value
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}
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// AtHistogram implements chunkenc.Iterator
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func (c *concreteSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
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if c.curValType != chunkenc.ValHistogram {
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panic("iterator is not on an integer histogram sample")
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}
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h := c.series.histograms[c.histogramsCur]
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return h.Timestamp, HistogramProtoToHistogram(h)
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}
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// AtFloatHistogram implements chunkenc.Iterator
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func (c *concreteSeriesIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) {
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switch c.curValType {
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case chunkenc.ValHistogram:
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fh := c.series.histograms[c.histogramsCur]
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return fh.Timestamp, HistogramProtoToFloatHistogram(fh)
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case chunkenc.ValFloatHistogram:
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fh := c.series.histograms[c.histogramsCur]
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return fh.Timestamp, FloatHistogramProtoToFloatHistogram(fh)
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default:
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panic("iterator is not on a histogram sample")
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}
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}
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// AtT implements chunkenc.Iterator.
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func (c *concreteSeriesIterator) AtT() int64 {
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if c.curValType == chunkenc.ValHistogram || c.curValType == chunkenc.ValFloatHistogram {
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return c.series.histograms[c.histogramsCur].Timestamp
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}
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return c.series.floats[c.floatsCur].Timestamp
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}
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const noTS = int64(math.MaxInt64)
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// Next implements chunkenc.Iterator.
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func (c *concreteSeriesIterator) Next() chunkenc.ValueType {
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peekFloatTS := noTS
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if c.floatsCur+1 < len(c.series.floats) {
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peekFloatTS = c.series.floats[c.floatsCur+1].Timestamp
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}
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peekHistTS := noTS
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if c.histogramsCur+1 < len(c.series.histograms) {
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peekHistTS = c.series.histograms[c.histogramsCur+1].Timestamp
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}
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c.curValType = chunkenc.ValNone
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switch {
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case peekFloatTS < peekHistTS:
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|
c.floatsCur++
|
|
c.curValType = chunkenc.ValFloat
|
|
case peekHistTS < peekFloatTS:
|
|
c.histogramsCur++
|
|
c.curValType = chunkenc.ValHistogram
|
|
case peekFloatTS == noTS && peekHistTS == noTS:
|
|
// This only happens when the iterator is exhausted; we set the cursors off the end to prevent
|
|
// Seek() from returning anything afterwards.
|
|
c.floatsCur = len(c.series.floats)
|
|
c.histogramsCur = len(c.series.histograms)
|
|
default:
|
|
// Prefer float samples to histogram samples if there's a conflict. We advance the cursor for histograms
|
|
// anyway otherwise the histogram sample will get selected on the next call to Next().
|
|
c.floatsCur++
|
|
c.histogramsCur++
|
|
c.curValType = chunkenc.ValFloat
|
|
}
|
|
return c.curValType
|
|
}
|
|
|
|
// Err implements chunkenc.Iterator.
|
|
func (c *concreteSeriesIterator) Err() error {
|
|
return nil
|
|
}
|
|
|
|
// validateLabelsAndMetricName validates the label names/values and metric names returned from remote read,
|
|
// also making sure that there are no labels with duplicate names
|
|
func validateLabelsAndMetricName(ls []prompb.Label) error {
|
|
for i, l := range ls {
|
|
if l.Name == labels.MetricName && !model.IsValidMetricName(model.LabelValue(l.Value)) {
|
|
return fmt.Errorf("invalid metric name: %v", l.Value)
|
|
}
|
|
if !model.LabelName(l.Name).IsValid() {
|
|
return fmt.Errorf("invalid label name: %v", l.Name)
|
|
}
|
|
if !model.LabelValue(l.Value).IsValid() {
|
|
return fmt.Errorf("invalid label value: %v", l.Value)
|
|
}
|
|
if i > 0 && l.Name == ls[i-1].Name {
|
|
return fmt.Errorf("duplicate label with name: %v", l.Name)
|
|
}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func toLabelMatchers(matchers []*labels.Matcher) ([]*prompb.LabelMatcher, error) {
|
|
pbMatchers := make([]*prompb.LabelMatcher, 0, len(matchers))
|
|
for _, m := range matchers {
|
|
var mType prompb.LabelMatcher_Type
|
|
switch m.Type {
|
|
case labels.MatchEqual:
|
|
mType = prompb.LabelMatcher_EQ
|
|
case labels.MatchNotEqual:
|
|
mType = prompb.LabelMatcher_NEQ
|
|
case labels.MatchRegexp:
|
|
mType = prompb.LabelMatcher_RE
|
|
case labels.MatchNotRegexp:
|
|
mType = prompb.LabelMatcher_NRE
|
|
default:
|
|
return nil, errors.New("invalid matcher type")
|
|
}
|
|
pbMatchers = append(pbMatchers, &prompb.LabelMatcher{
|
|
Type: mType,
|
|
Name: m.Name,
|
|
Value: m.Value,
|
|
})
|
|
}
|
|
return pbMatchers, nil
|
|
}
|
|
|
|
// FromLabelMatchers parses protobuf label matchers to Prometheus label matchers.
|
|
func FromLabelMatchers(matchers []*prompb.LabelMatcher) ([]*labels.Matcher, error) {
|
|
result := make([]*labels.Matcher, 0, len(matchers))
|
|
for _, matcher := range matchers {
|
|
var mtype labels.MatchType
|
|
switch matcher.Type {
|
|
case prompb.LabelMatcher_EQ:
|
|
mtype = labels.MatchEqual
|
|
case prompb.LabelMatcher_NEQ:
|
|
mtype = labels.MatchNotEqual
|
|
case prompb.LabelMatcher_RE:
|
|
mtype = labels.MatchRegexp
|
|
case prompb.LabelMatcher_NRE:
|
|
mtype = labels.MatchNotRegexp
|
|
default:
|
|
return nil, errors.New("invalid matcher type")
|
|
}
|
|
matcher, err := labels.NewMatcher(mtype, matcher.Name, matcher.Value)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
result = append(result, matcher)
|
|
}
|
|
return result, nil
|
|
}
|
|
|
|
func exemplarProtoToExemplar(ep prompb.Exemplar) exemplar.Exemplar {
|
|
timestamp := ep.Timestamp
|
|
|
|
return exemplar.Exemplar{
|
|
Labels: labelProtosToLabels(ep.Labels),
|
|
Value: ep.Value,
|
|
Ts: timestamp,
|
|
HasTs: timestamp != 0,
|
|
}
|
|
}
|
|
|
|
// HistogramProtoToHistogram extracts a (normal integer) Histogram from the
|
|
// provided proto message. The caller has to make sure that the proto message
|
|
// represents an integer histogram and not a float histogram, or it panics.
|
|
func HistogramProtoToHistogram(hp prompb.Histogram) *histogram.Histogram {
|
|
if hp.IsFloatHistogram() {
|
|
panic("HistogramProtoToHistogram called with a float histogram")
|
|
}
|
|
return &histogram.Histogram{
|
|
CounterResetHint: histogram.CounterResetHint(hp.ResetHint),
|
|
Schema: hp.Schema,
|
|
ZeroThreshold: hp.ZeroThreshold,
|
|
ZeroCount: hp.GetZeroCountInt(),
|
|
Count: hp.GetCountInt(),
|
|
Sum: hp.Sum,
|
|
PositiveSpans: spansProtoToSpans(hp.GetPositiveSpans()),
|
|
PositiveBuckets: hp.GetPositiveDeltas(),
|
|
NegativeSpans: spansProtoToSpans(hp.GetNegativeSpans()),
|
|
NegativeBuckets: hp.GetNegativeDeltas(),
|
|
}
|
|
}
|
|
|
|
// FloatHistogramProtoToFloatHistogram extracts a float Histogram from the
|
|
// provided proto message to a Float Histogram. The caller has to make sure that
|
|
// the proto message represents a float histogram and not an integer histogram,
|
|
// or it panics.
|
|
func FloatHistogramProtoToFloatHistogram(hp prompb.Histogram) *histogram.FloatHistogram {
|
|
if !hp.IsFloatHistogram() {
|
|
panic("FloatHistogramProtoToFloatHistogram called with an integer histogram")
|
|
}
|
|
return &histogram.FloatHistogram{
|
|
CounterResetHint: histogram.CounterResetHint(hp.ResetHint),
|
|
Schema: hp.Schema,
|
|
ZeroThreshold: hp.ZeroThreshold,
|
|
ZeroCount: hp.GetZeroCountFloat(),
|
|
Count: hp.GetCountFloat(),
|
|
Sum: hp.Sum,
|
|
PositiveSpans: spansProtoToSpans(hp.GetPositiveSpans()),
|
|
PositiveBuckets: hp.GetPositiveCounts(),
|
|
NegativeSpans: spansProtoToSpans(hp.GetNegativeSpans()),
|
|
NegativeBuckets: hp.GetNegativeCounts(),
|
|
}
|
|
}
|
|
|
|
// HistogramProtoToFloatHistogram extracts and converts a (normal integer) histogram from the provided proto message
|
|
// to a float histogram. The caller has to make sure that the proto message represents an integer histogram and not a
|
|
// float histogram, or it panics.
|
|
func HistogramProtoToFloatHistogram(hp prompb.Histogram) *histogram.FloatHistogram {
|
|
if hp.IsFloatHistogram() {
|
|
panic("HistogramProtoToFloatHistogram called with a float histogram")
|
|
}
|
|
return &histogram.FloatHistogram{
|
|
CounterResetHint: histogram.CounterResetHint(hp.ResetHint),
|
|
Schema: hp.Schema,
|
|
ZeroThreshold: hp.ZeroThreshold,
|
|
ZeroCount: float64(hp.GetZeroCountInt()),
|
|
Count: float64(hp.GetCountInt()),
|
|
Sum: hp.Sum,
|
|
PositiveSpans: spansProtoToSpans(hp.GetPositiveSpans()),
|
|
PositiveBuckets: deltasToCounts(hp.GetPositiveDeltas()),
|
|
NegativeSpans: spansProtoToSpans(hp.GetNegativeSpans()),
|
|
NegativeBuckets: deltasToCounts(hp.GetNegativeDeltas()),
|
|
}
|
|
}
|
|
|
|
func spansProtoToSpans(s []prompb.BucketSpan) []histogram.Span {
|
|
spans := make([]histogram.Span, len(s))
|
|
for i := 0; i < len(s); i++ {
|
|
spans[i] = histogram.Span{Offset: s[i].Offset, Length: s[i].Length}
|
|
}
|
|
|
|
return spans
|
|
}
|
|
|
|
func deltasToCounts(deltas []int64) []float64 {
|
|
counts := make([]float64, len(deltas))
|
|
var cur float64
|
|
for i, d := range deltas {
|
|
cur += float64(d)
|
|
counts[i] = cur
|
|
}
|
|
return counts
|
|
}
|
|
|
|
func HistogramToHistogramProto(timestamp int64, h *histogram.Histogram) prompb.Histogram {
|
|
return prompb.Histogram{
|
|
Count: &prompb.Histogram_CountInt{CountInt: h.Count},
|
|
Sum: h.Sum,
|
|
Schema: h.Schema,
|
|
ZeroThreshold: h.ZeroThreshold,
|
|
ZeroCount: &prompb.Histogram_ZeroCountInt{ZeroCountInt: h.ZeroCount},
|
|
NegativeSpans: spansToSpansProto(h.NegativeSpans),
|
|
NegativeDeltas: h.NegativeBuckets,
|
|
PositiveSpans: spansToSpansProto(h.PositiveSpans),
|
|
PositiveDeltas: h.PositiveBuckets,
|
|
ResetHint: prompb.Histogram_ResetHint(h.CounterResetHint),
|
|
Timestamp: timestamp,
|
|
}
|
|
}
|
|
|
|
func FloatHistogramToHistogramProto(timestamp int64, fh *histogram.FloatHistogram) prompb.Histogram {
|
|
return prompb.Histogram{
|
|
Count: &prompb.Histogram_CountFloat{CountFloat: fh.Count},
|
|
Sum: fh.Sum,
|
|
Schema: fh.Schema,
|
|
ZeroThreshold: fh.ZeroThreshold,
|
|
ZeroCount: &prompb.Histogram_ZeroCountFloat{ZeroCountFloat: fh.ZeroCount},
|
|
NegativeSpans: spansToSpansProto(fh.NegativeSpans),
|
|
NegativeCounts: fh.NegativeBuckets,
|
|
PositiveSpans: spansToSpansProto(fh.PositiveSpans),
|
|
PositiveCounts: fh.PositiveBuckets,
|
|
ResetHint: prompb.Histogram_ResetHint(fh.CounterResetHint),
|
|
Timestamp: timestamp,
|
|
}
|
|
}
|
|
|
|
func spansToSpansProto(s []histogram.Span) []prompb.BucketSpan {
|
|
spans := make([]prompb.BucketSpan, len(s))
|
|
for i := 0; i < len(s); i++ {
|
|
spans[i] = prompb.BucketSpan{Offset: s[i].Offset, Length: s[i].Length}
|
|
}
|
|
|
|
return spans
|
|
}
|
|
|
|
// LabelProtosToMetric unpack a []*prompb.Label to a model.Metric
|
|
func LabelProtosToMetric(labelPairs []*prompb.Label) model.Metric {
|
|
metric := make(model.Metric, len(labelPairs))
|
|
for _, l := range labelPairs {
|
|
metric[model.LabelName(l.Name)] = model.LabelValue(l.Value)
|
|
}
|
|
return metric
|
|
}
|
|
|
|
func labelProtosToLabels(labelPairs []prompb.Label) labels.Labels {
|
|
b := labels.ScratchBuilder{}
|
|
for _, l := range labelPairs {
|
|
b.Add(l.Name, l.Value)
|
|
}
|
|
b.Sort()
|
|
return b.Labels()
|
|
}
|
|
|
|
// labelsToLabelsProto transforms labels into prompb labels. The buffer slice
|
|
// will be used to avoid allocations if it is big enough to store the labels.
|
|
func labelsToLabelsProto(lbls labels.Labels, buf []prompb.Label) []prompb.Label {
|
|
result := buf[:0]
|
|
lbls.Range(func(l labels.Label) {
|
|
result = append(result, prompb.Label{
|
|
Name: l.Name,
|
|
Value: l.Value,
|
|
})
|
|
})
|
|
return result
|
|
}
|
|
|
|
// metricTypeToMetricTypeProto transforms a Prometheus metricType into prompb metricType. Since the former is a string we need to transform it to an enum.
|
|
func metricTypeToMetricTypeProto(t textparse.MetricType) prompb.MetricMetadata_MetricType {
|
|
mt := strings.ToUpper(string(t))
|
|
v, ok := prompb.MetricMetadata_MetricType_value[mt]
|
|
if !ok {
|
|
return prompb.MetricMetadata_UNKNOWN
|
|
}
|
|
|
|
return prompb.MetricMetadata_MetricType(v)
|
|
}
|
|
|
|
// DecodeWriteRequest from an io.Reader into a prompb.WriteRequest, handling
|
|
// snappy decompression.
|
|
func DecodeWriteRequest(r io.Reader) (*prompb.WriteRequest, error) {
|
|
compressed, err := io.ReadAll(r)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
reqBuf, err := snappy.Decode(nil, compressed)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
var req prompb.WriteRequest
|
|
if err := proto.Unmarshal(reqBuf, &req); err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
return &req, nil
|
|
}
|