mirror of
https://github.com/prometheus/prometheus.git
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7e42acd3b1
- Pick At... method via return value of Next/Seek. - Do not clobber returned buckets. - Add partial FloatHistogram suppert. Note that the promql package is now _only_ dealing with FloatHistograms, following the idea that PromQL only knows float values. As a byproduct, I have removed the histogramSeries metric. In my understanding, series can have both float and histogram samples, so that metric doesn't make sense anymore. As another byproduct, I have converged the sampleBuf and the histogramSampleBuf in memSeries into one. The sample type stored in the sampleBuf has been extended to also contain histograms even before this commit. Signed-off-by: beorn7 <beorn@grafana.com>
89 lines
2.5 KiB
Go
89 lines
2.5 KiB
Go
// Copyright 2021 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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"testing"
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"github.com/stretchr/testify/require"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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)
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func TestMemoizedSeriesIterator(t *testing.T) {
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// TODO(beorn7): Include histograms in testing.
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var it *MemoizedSeriesIterator
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sampleEq := func(ets int64, ev float64) {
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ts, v := it.Values()
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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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ts, v, _, _, ok := it.PeekPrev()
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require.Equal(t, eok, ok, "exist mismatch")
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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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it = NewMemoizedIterator(NewListSeriesIterator(samples{
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sample{t: 1, v: 2},
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sample{t: 2, v: 3},
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sample{t: 3, v: 4},
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sample{t: 4, v: 5},
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sample{t: 5, v: 6},
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sample{t: 99, v: 8},
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sample{t: 100, v: 9},
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sample{t: 101, v: 10},
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}), 2)
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require.Equal(t, it.Seek(-123), chunkenc.ValFloat, "seek failed")
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sampleEq(1, 2)
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prevSampleEq(0, 0, false)
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require.Equal(t, it.Next(), chunkenc.ValFloat, "next failed")
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sampleEq(2, 3)
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prevSampleEq(1, 2, true)
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require.Equal(t, it.Next(), chunkenc.ValFloat, "next failed")
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require.Equal(t, it.Next(), chunkenc.ValFloat, "next failed")
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require.Equal(t, it.Next(), chunkenc.ValFloat, "next failed")
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sampleEq(5, 6)
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prevSampleEq(4, 5, true)
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require.Equal(t, it.Seek(5), chunkenc.ValFloat, "seek failed")
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sampleEq(5, 6)
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prevSampleEq(4, 5, true)
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require.Equal(t, it.Seek(101), chunkenc.ValFloat, "seek failed")
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sampleEq(101, 10)
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prevSampleEq(100, 9, true)
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require.Equal(t, it.Next(), chunkenc.ValNone, "next succeeded unexpectedly")
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}
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func BenchmarkMemoizedSeriesIterator(b *testing.B) {
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// Simulate a 5 minute rate.
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it := NewMemoizedIterator(newFakeSeriesIterator(int64(b.N), 30), 5*60)
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b.SetBytes(int64(b.N * 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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