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48d25e6fe7
Rather than keeping the offset of each postings list, instead keep the nth offset of the offset of the posting list. As postings list offsets have always been sorted, we can then get to the closest entry before the one we want an iterate forwards. I haven't done much tuning on the 32 number, it was chosen to try not to read through more than a 4k page of data. Switch to a bulk interface for fetching postings. Use it to avoid having to re-read parts of the posting offset table when querying lots of it. For a index with what BenchmarkHeadPostingForMatchers uses RAM for r.postings drops from 3.79MB to 80.19kB or about 48x. Bytes allocated go down by 30%, and suprisingly CPU usage drops by 4-6% for typical queries too. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Block/n="1"-4 35231 36673 +4.09% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 563380 540627 -4.04% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 536782 534186 -0.48% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 533990 541550 +1.42% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113374598 117969608 +4.05% BenchmarkPostingsForMatchers/Block/i=~".+"-4 146329884 139651442 -4.56% BenchmarkPostingsForMatchers/Block/i=~""-4 50346510 44961127 -10.70% BenchmarkPostingsForMatchers/Block/i!=""-4 41261550 35356165 -14.31% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112544418 116904010 +3.87% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 112487086 116864918 +3.89% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 41094758 35457904 -13.72% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 41906372 36151473 -13.73% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 147262414 140424800 -4.64% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 28615629 27872072 -2.60% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 147117177 140462403 -4.52% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 175096826 167902298 -4.11% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Block/n="1"-4 4 6 +50.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 17 +13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 100010 100012 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 200069 200040 -0.01% BenchmarkPostingsForMatchers/Block/i=~""-4 200072 200045 -0.01% BenchmarkPostingsForMatchers/Block/i!=""-4 200070 200041 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 100013 100017 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 100017 100023 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 200073 200046 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 200075 200050 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 200074 200049 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 111165 111150 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 200078 200055 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 311282 311238 -0.01% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Block/n="1"-4 264 296 +12.12% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 520 552 +6.15% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1600461 1600482 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 24900801 17259077 -30.69% BenchmarkPostingsForMatchers/Block/i=~""-4 24900836 17259151 -30.69% BenchmarkPostingsForMatchers/Block/i!=""-4 24900760 17259048 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1600557 1600621 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1600717 1600813 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 24900856 17259176 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 24900952 17259304 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 24900993 17259333 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3788311 3142630 -17.04% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 24901137 17259509 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 28693086 20405680 -28.88% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
76 lines
1.8 KiB
Go
76 lines
1.8 KiB
Go
// Copyright 2019 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 index
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import (
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"testing"
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"github.com/prometheus/prometheus/util/testutil"
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)
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func TestPostingsStats(t *testing.T) {
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stats := &maxHeap{}
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max := 3000000
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heapLength := 10
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stats.init(heapLength)
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for i := 0; i < max; i++ {
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item := Stat{
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Name: "Label-da",
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Count: uint64(i),
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}
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stats.push(item)
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}
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stats.push(Stat{Name: "Stuff", Count: 3000000})
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data := stats.get()
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testutil.Equals(t, 10, len(data))
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for i := 0; i < heapLength; i++ {
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testutil.Equals(t, uint64(max-i), data[i].Count)
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}
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}
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func TestPostingsStats2(t *testing.T) {
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stats := &maxHeap{}
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heapLength := 10
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stats.init(heapLength)
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stats.push(Stat{Name: "Stuff", Count: 10})
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stats.push(Stat{Name: "Stuff", Count: 11})
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stats.push(Stat{Name: "Stuff", Count: 1})
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stats.push(Stat{Name: "Stuff", Count: 6})
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data := stats.get()
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testutil.Equals(t, 4, len(data))
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testutil.Equals(t, uint64(11), data[0].Count)
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}
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func BenchmarkPostingStatsMaxHep(b *testing.B) {
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stats := &maxHeap{}
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max := 9000000
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heapLength := 10
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b.ResetTimer()
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for n := 0; n < b.N; n++ {
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stats.init(heapLength)
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for i := 0; i < max; i++ {
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item := Stat{
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Name: "Label-da",
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Count: uint64(i),
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}
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stats.push(item)
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}
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stats.get()
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}
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}
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