mirror of
https://github.com/prometheus/prometheus
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10a82f87fd
The 'ToFloat' method on integer histograms currently allocates new memory each time it is called. This commit adds an optional *FloatHistogram parameter that can be used to reuse span and bucket slices. It is up to the caller to make sure the input float histogram is not used anymore after the call. Signed-off-by: Filip Petkovski <filip.petkovsky@gmail.com>
335 lines
8.6 KiB
Go
335 lines
8.6 KiB
Go
// 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 storage
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import (
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"math/rand"
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"testing"
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"github.com/stretchr/testify/require"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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"github.com/prometheus/prometheus/tsdb/tsdbutil"
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)
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func TestSampleRing(t *testing.T) {
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cases := []struct {
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input []int64
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delta int64
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size int
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}{
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{
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input: []int64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},
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delta: 2,
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size: 1,
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},
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{
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input: []int64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},
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delta: 2,
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size: 2,
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},
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{
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input: []int64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},
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delta: 7,
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size: 3,
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},
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{
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input: []int64{1, 2, 3, 4, 5, 16, 17, 18, 19, 20},
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delta: 7,
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size: 1,
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},
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{
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input: []int64{1, 2, 3, 4, 6},
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delta: 4,
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size: 4,
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},
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}
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for _, c := range cases {
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r := newSampleRing(c.delta, c.size, chunkenc.ValFloat)
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input := []fSample{}
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for _, t := range c.input {
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input = append(input, fSample{
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t: t,
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f: float64(rand.Intn(100)),
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})
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}
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for i, s := range input {
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r.add(s)
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buffered := r.samples()
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for _, sold := range input[:i] {
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found := false
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for _, bs := range buffered {
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if bs.T() == sold.t && bs.F() == sold.f {
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found = true
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break
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}
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}
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if found {
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require.GreaterOrEqual(t, sold.t, s.t-c.delta, "%d: unexpected sample %d in buffer; buffer %v", i, sold.t, buffered)
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} else {
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require.Less(t, sold.t, s.t-c.delta, "%d: expected sample %d to be in buffer but was not; buffer %v", i, sold.t, buffered)
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}
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}
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}
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}
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}
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func TestSampleRingMixed(t *testing.T) {
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h1 := tsdbutil.GenerateTestHistogram(1)
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h2 := tsdbutil.GenerateTestHistogram(2)
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// With ValNone as the preferred type, nothing should be initialized.
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r := newSampleRing(10, 2, chunkenc.ValNone)
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require.Zero(t, len(r.fBuf))
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require.Zero(t, len(r.hBuf))
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require.Zero(t, len(r.fhBuf))
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require.Zero(t, len(r.iBuf))
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// But then mixed adds should work as expected.
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r.addF(fSample{t: 1, f: 3.14})
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r.addH(hSample{t: 2, h: h1})
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it := r.iterator()
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require.Equal(t, chunkenc.ValFloat, it.Next())
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ts, f := it.At()
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require.Equal(t, int64(1), ts)
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require.Equal(t, 3.14, f)
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require.Equal(t, chunkenc.ValHistogram, it.Next())
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var h *histogram.Histogram
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ts, h = it.AtHistogram()
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require.Equal(t, int64(2), ts)
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require.Equal(t, h1, h)
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require.Equal(t, chunkenc.ValNone, it.Next())
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r.reset()
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it = r.iterator()
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require.Equal(t, chunkenc.ValNone, it.Next())
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r.addF(fSample{t: 3, f: 4.2})
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r.addH(hSample{t: 4, h: h2})
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it = r.iterator()
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require.Equal(t, chunkenc.ValFloat, it.Next())
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ts, f = it.At()
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require.Equal(t, int64(3), ts)
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require.Equal(t, 4.2, f)
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require.Equal(t, chunkenc.ValHistogram, it.Next())
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ts, h = it.AtHistogram()
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require.Equal(t, int64(4), ts)
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require.Equal(t, h2, h)
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require.Equal(t, chunkenc.ValNone, it.Next())
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}
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func TestBufferedSeriesIterator(t *testing.T) {
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var it *BufferedSeriesIterator
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bufferEq := func(exp []fSample) {
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var b []fSample
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bit := it.Buffer()
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for bit.Next() == chunkenc.ValFloat {
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t, f := bit.At()
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b = append(b, fSample{t: t, f: f})
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}
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require.Equal(t, exp, b, "buffer mismatch")
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}
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sampleEq := func(ets int64, ev float64) {
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ts, v := it.At()
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require.Equal(t, ets, ts, "timestamp mismatch")
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require.Equal(t, ev, v, "value mismatch")
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}
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prevSampleEq := func(ets int64, ev float64, eok bool) {
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s, ok := it.PeekBack(1)
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require.Equal(t, eok, ok, "exist mismatch")
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require.Equal(t, ets, s.T(), "timestamp mismatch")
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require.Equal(t, ev, s.F(), "value mismatch")
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}
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it = NewBufferIterator(NewListSeriesIterator(samples{
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fSample{t: 1, f: 2},
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fSample{t: 2, f: 3},
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fSample{t: 3, f: 4},
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fSample{t: 4, f: 5},
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fSample{t: 5, f: 6},
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fSample{t: 99, f: 8},
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fSample{t: 100, f: 9},
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fSample{t: 101, f: 10},
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}), 2)
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require.Equal(t, chunkenc.ValFloat, it.Seek(-123), "seek failed")
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sampleEq(1, 2)
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prevSampleEq(0, 0, false)
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bufferEq(nil)
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require.Equal(t, chunkenc.ValFloat, it.Next(), "next failed")
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sampleEq(2, 3)
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prevSampleEq(1, 2, true)
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bufferEq([]fSample{{t: 1, f: 2}})
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require.Equal(t, chunkenc.ValFloat, it.Next(), "next failed")
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require.Equal(t, chunkenc.ValFloat, it.Next(), "next failed")
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require.Equal(t, chunkenc.ValFloat, it.Next(), "next failed")
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sampleEq(5, 6)
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prevSampleEq(4, 5, true)
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bufferEq([]fSample{{t: 2, f: 3}, {t: 3, f: 4}, {t: 4, f: 5}})
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require.Equal(t, chunkenc.ValFloat, it.Seek(5), "seek failed")
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sampleEq(5, 6)
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prevSampleEq(4, 5, true)
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bufferEq([]fSample{{t: 2, f: 3}, {t: 3, f: 4}, {t: 4, f: 5}})
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require.Equal(t, chunkenc.ValFloat, it.Seek(101), "seek failed")
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sampleEq(101, 10)
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prevSampleEq(100, 9, true)
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bufferEq([]fSample{{t: 99, f: 8}, {t: 100, f: 9}})
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require.Equal(t, chunkenc.ValNone, it.Next(), "next succeeded unexpectedly")
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require.Equal(t, chunkenc.ValNone, it.Seek(1024), "seek succeeded unexpectedly")
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}
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// At() should not be called once Next() returns false.
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func TestBufferedSeriesIteratorNoBadAt(t *testing.T) {
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done := false
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m := &mockSeriesIterator{
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seek: func(int64) chunkenc.ValueType { return chunkenc.ValNone },
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at: func() (int64, float64) {
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require.False(t, done, "unexpectedly done")
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done = true
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return 0, 0
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},
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next: func() chunkenc.ValueType {
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if done {
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return chunkenc.ValNone
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}
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return chunkenc.ValFloat
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},
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err: func() error { return nil },
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}
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it := NewBufferIterator(m, 60)
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it.Next()
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it.Next()
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}
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func TestBufferedSeriesIteratorMixedHistograms(t *testing.T) {
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histograms := tsdbutil.GenerateTestHistograms(2)
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it := NewBufferIterator(NewListSeriesIterator(samples{
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fhSample{t: 1, fh: histograms[0].ToFloat(nil)},
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hSample{t: 2, h: histograms[1]},
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}), 2)
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require.Equal(t, chunkenc.ValNone, it.Seek(3))
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require.NoError(t, it.Err())
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buf := it.Buffer()
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require.Equal(t, chunkenc.ValFloatHistogram, buf.Next())
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_, fh := buf.AtFloatHistogram()
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require.Equal(t, histograms[0].ToFloat(nil), fh)
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require.Equal(t, chunkenc.ValHistogram, buf.Next())
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_, fh = buf.AtFloatHistogram()
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require.Equal(t, histograms[1].ToFloat(nil), fh)
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}
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func BenchmarkBufferedSeriesIterator(b *testing.B) {
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// Simulate a 5 minute rate.
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it := NewBufferIterator(newFakeSeriesIterator(int64(b.N), 30), 5*60)
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b.SetBytes(16)
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b.ReportAllocs()
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b.ResetTimer()
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for it.Next() != chunkenc.ValNone {
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// Scan everything.
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}
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require.NoError(b, it.Err())
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}
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type mockSeriesIterator struct {
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seek func(int64) chunkenc.ValueType
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at func() (int64, float64)
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next func() chunkenc.ValueType
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err func() error
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}
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func (m *mockSeriesIterator) Seek(t int64) chunkenc.ValueType { return m.seek(t) }
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func (m *mockSeriesIterator) At() (int64, float64) { return m.at() }
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func (m *mockSeriesIterator) Next() chunkenc.ValueType { return m.next() }
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func (m *mockSeriesIterator) Err() error { return m.err() }
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func (m *mockSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
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return 0, nil // Not really mocked.
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}
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func (m *mockSeriesIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) {
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return 0, nil // Not really mocked.
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}
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func (m *mockSeriesIterator) AtT() int64 {
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return 0 // Not really mocked.
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}
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type fakeSeriesIterator struct {
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nsamples int64
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step int64
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idx int64
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}
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func newFakeSeriesIterator(nsamples, step int64) *fakeSeriesIterator {
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return &fakeSeriesIterator{nsamples: nsamples, step: step, idx: -1}
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}
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func (it *fakeSeriesIterator) At() (int64, float64) {
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return it.idx * it.step, 123 // Value doesn't matter.
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}
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func (it *fakeSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
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return it.idx * it.step, &histogram.Histogram{} // Value doesn't matter.
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}
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func (it *fakeSeriesIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) {
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return it.idx * it.step, &histogram.FloatHistogram{} // Value doesn't matter.
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}
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func (it *fakeSeriesIterator) AtT() int64 {
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return it.idx * it.step
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}
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func (it *fakeSeriesIterator) Next() chunkenc.ValueType {
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it.idx++
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if it.idx >= it.nsamples {
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return chunkenc.ValNone
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}
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return chunkenc.ValFloat
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}
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func (it *fakeSeriesIterator) Seek(t int64) chunkenc.ValueType {
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it.idx = t / it.step
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if it.idx >= it.nsamples {
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return chunkenc.ValNone
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}
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return chunkenc.ValFloat
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}
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func (it *fakeSeriesIterator) Err() error { return nil }
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