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44ebbb8458
The specialized version of sample add to the ring: func addH(s hSample, buf []hSample, r *sampleRing) []hSample func addFH(s fhSample, buf []fhSample, r *sampleRing) []fhSample already correctly copy histogram samples from the reused hReader, fhReader buffers, but the generic version does not. This means that the data is overwritten on the next read if the sample ring has seen histogram and float samples at the same time and switched to generic mode. The `genericAdd` function (which was commented anyway) is by now quite different from the specialized functions so that this commit deletes it. Signed-off-by: György Krajcsovits <gyorgy.krajcsovits@grafana.com>
102 lines
2.2 KiB
Go
102 lines
2.2 KiB
Go
// Copyright 2023 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 chunks
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import (
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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)
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type Samples interface {
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Get(i int) Sample
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Len() int
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}
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type Sample interface {
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T() int64
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F() float64
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H() *histogram.Histogram
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FH() *histogram.FloatHistogram
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Type() chunkenc.ValueType
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Copy() Sample // Returns a deep copy.
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}
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type SampleSlice []Sample
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func (s SampleSlice) Get(i int) Sample { return s[i] }
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func (s SampleSlice) Len() int { return len(s) }
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type sample struct {
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t int64
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f float64
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h *histogram.Histogram
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fh *histogram.FloatHistogram
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}
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func (s sample) T() int64 {
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return s.t
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}
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func (s sample) F() float64 {
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return s.f
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}
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func (s sample) H() *histogram.Histogram {
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return s.h
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}
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func (s sample) FH() *histogram.FloatHistogram {
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return s.fh
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}
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func (s sample) Type() chunkenc.ValueType {
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switch {
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case s.h != nil:
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return chunkenc.ValHistogram
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case s.fh != nil:
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return chunkenc.ValFloatHistogram
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default:
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return chunkenc.ValFloat
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}
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}
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func (s sample) Copy() Sample {
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c := sample{t: s.t, f: s.f}
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if s.h != nil {
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c.h = s.h.Copy()
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}
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if s.fh != nil {
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c.fh = s.fh.Copy()
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}
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return c
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}
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// GenerateSamples starting at start and counting up numSamples.
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func GenerateSamples(start, numSamples int) []Sample {
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return generateSamples(start, numSamples, func(i int) Sample {
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return sample{
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t: int64(i),
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f: float64(i),
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}
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})
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}
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func generateSamples(start, numSamples int, gen func(int) Sample) []Sample {
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samples := make([]Sample, 0, numSamples)
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for i := start; i < start+numSamples; i++ {
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samples = append(samples, gen(i))
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}
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return samples
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}
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