prometheus/tsdb/querier.go

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2017-04-10 11:59:45 -07:00
// Copyright 2017 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package tsdb
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import (
"sort"
"strings"
"unicode/utf8"
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"github.com/pkg/errors"
"github.com/prometheus/prometheus/pkg/labels"
"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/tsdb/chunkenc"
"github.com/prometheus/prometheus/tsdb/chunks"
tsdb_errors "github.com/prometheus/prometheus/tsdb/errors"
"github.com/prometheus/prometheus/tsdb/index"
"github.com/prometheus/prometheus/tsdb/tombstones"
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)
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// querier aggregates querying results from time blocks within
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// a single partition.
type querier struct {
blocks []storage.Querier
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}
func (q *querier) LabelValues(n string) ([]string, storage.Warnings, error) {
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return q.lvals(q.blocks, n)
}
// LabelNames returns all the unique label names present querier blocks.
func (q *querier) LabelNames() ([]string, storage.Warnings, error) {
labelNamesMap := make(map[string]struct{})
var ws storage.Warnings
for _, b := range q.blocks {
names, w, err := b.LabelNames()
ws = append(ws, w...)
if err != nil {
return nil, ws, errors.Wrap(err, "LabelNames() from Querier")
}
for _, name := range names {
labelNamesMap[name] = struct{}{}
}
}
labelNames := make([]string, 0, len(labelNamesMap))
for name := range labelNamesMap {
labelNames = append(labelNames, name)
}
sort.Strings(labelNames)
return labelNames, ws, nil
}
func (q *querier) lvals(qs []storage.Querier, n string) ([]string, storage.Warnings, error) {
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if len(qs) == 0 {
return nil, nil, nil
}
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if len(qs) == 1 {
return qs[0].LabelValues(n)
}
l := len(qs) / 2
var ws storage.Warnings
s1, w, err := q.lvals(qs[:l], n)
ws = append(ws, w...)
if err != nil {
return nil, ws, err
}
s2, ws, err := q.lvals(qs[l:], n)
ws = append(ws, w...)
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if err != nil {
return nil, ws, err
}
return mergeStrings(s1, s2), ws, nil
}
func (q *querier) Select(p *storage.SelectParams, ms ...*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
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if len(q.blocks) != 1 {
return q.SelectSorted(p, ms...)
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
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}
// Sorting Head series is slow, and unneeded when only the
// Head is being queried. Sorting blocks is a noop.
return q.blocks[0].Select(p, ms...)
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
}
func (q *querier) SelectSorted(p *storage.SelectParams, ms ...*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
if len(q.blocks) == 0 {
return storage.EmptySeriesSet(), nil, nil
}
ss := make([]storage.SeriesSet, len(q.blocks))
var ws storage.Warnings
for i, b := range q.blocks {
s, w, err := b.SelectSorted(p, ms...)
ws = append(ws, w...)
if err != nil {
return nil, ws, err
}
ss[i] = s
}
return NewMergedSeriesSet(ss), ws, nil
}
func (q *querier) Close() error {
var merr tsdb_errors.MultiError
for _, bq := range q.blocks {
merr.Add(bq.Close())
}
return merr.Err()
}
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
// verticalQuerier aggregates querying results from time blocks within
// a single partition. The block time ranges can be overlapping.
type verticalQuerier struct {
querier
}
func (q *verticalQuerier) Select(p *storage.SelectParams, ms ...*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
return q.sel(p, q.blocks, ms)
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
}
func (q *verticalQuerier) SelectSorted(p *storage.SelectParams, ms ...*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
return q.sel(p, q.blocks, ms)
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
}
func (q *verticalQuerier) sel(p *storage.SelectParams, qs []storage.Querier, ms []*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
if len(qs) == 0 {
return storage.EmptySeriesSet(), nil, nil
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
}
if len(qs) == 1 {
return qs[0].SelectSorted(p, ms...)
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
}
l := len(qs) / 2
var ws storage.Warnings
a, w, err := q.sel(p, qs[:l], ms)
ws = append(ws, w...)
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
if err != nil {
return nil, ws, err
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
}
b, w, err := q.sel(p, qs[l:], ms)
ws = append(ws, w...)
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
if err != nil {
return nil, ws, err
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
}
return newMergedVerticalSeriesSet(a, b), ws, nil
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
}
2018-01-09 07:40:31 -08:00
// NewBlockQuerier returns a querier against the reader.
func NewBlockQuerier(b BlockReader, mint, maxt int64) (storage.Querier, error) {
indexr, err := b.Index()
if err != nil {
return nil, errors.Wrapf(err, "open index reader")
}
chunkr, err := b.Chunks()
if err != nil {
indexr.Close()
return nil, errors.Wrapf(err, "open chunk reader")
}
tombsr, err := b.Tombstones()
if err != nil {
indexr.Close()
chunkr.Close()
return nil, errors.Wrapf(err, "open tombstone reader")
}
return &blockQuerier{
mint: mint,
maxt: maxt,
index: indexr,
chunks: chunkr,
tombstones: tombsr,
}, nil
}
// blockQuerier provides querying access to a single block database.
type blockQuerier struct {
index IndexReader
chunks ChunkReader
tombstones tombstones.Reader
closed bool
mint, maxt int64
}
func (q *blockQuerier) Select(p *storage.SelectParams, ms ...*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
base, err := LookupChunkSeries(q.index, q.tombstones, ms...)
if err != nil {
return nil, nil, err
}
mint := q.mint
maxt := q.maxt
if p != nil {
mint = p.Start
maxt = p.End
}
return &blockSeriesSet{
set: &populatedChunkSeries{
set: base,
chunks: q.chunks,
mint: mint,
maxt: maxt,
},
mint: mint,
maxt: maxt,
}, nil, nil
}
func (q *blockQuerier) SelectSorted(p *storage.SelectParams, ms ...*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
base, err := LookupChunkSeriesSorted(q.index, q.tombstones, ms...)
if err != nil {
return nil, nil, err
}
mint := q.mint
maxt := q.maxt
if p != nil {
mint = p.Start
maxt = p.End
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
}
return &blockSeriesSet{
set: &populatedChunkSeries{
set: base,
chunks: q.chunks,
mint: mint,
maxt: maxt,
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
},
mint: mint,
maxt: maxt,
}, nil, nil
}
func (q *blockQuerier) LabelValues(name string) ([]string, storage.Warnings, error) {
res, err := q.index.LabelValues(name)
return res, nil, err
}
func (q *blockQuerier) LabelNames() ([]string, storage.Warnings, error) {
res, err := q.index.LabelNames()
return res, nil, err
}
func (q *blockQuerier) Close() error {
if q.closed {
return errors.New("block querier already closed")
}
var merr tsdb_errors.MultiError
merr.Add(q.index.Close())
merr.Add(q.chunks.Close())
merr.Add(q.tombstones.Close())
q.closed = true
return merr.Err()
}
// Bitmap used by func isRegexMetaCharacter to check whether a character needs to be escaped.
var regexMetaCharacterBytes [16]byte
// isRegexMetaCharacter reports whether byte b needs to be escaped.
func isRegexMetaCharacter(b byte) bool {
return b < utf8.RuneSelf && regexMetaCharacterBytes[b%16]&(1<<(b/16)) != 0
}
func init() {
for _, b := range []byte(`.+*?()|[]{}^$`) {
regexMetaCharacterBytes[b%16] |= 1 << (b / 16)
}
}
func findSetMatches(pattern string) []string {
// Return empty matches if the wrapper from Prometheus is missing.
if len(pattern) < 6 || pattern[:4] != "^(?:" || pattern[len(pattern)-2:] != ")$" {
return nil
}
escaped := false
sets := []*strings.Builder{{}}
for i := 4; i < len(pattern)-2; i++ {
if escaped {
switch {
case isRegexMetaCharacter(pattern[i]):
sets[len(sets)-1].WriteByte(pattern[i])
case pattern[i] == '\\':
sets[len(sets)-1].WriteByte('\\')
default:
return nil
}
escaped = false
} else {
switch {
case isRegexMetaCharacter(pattern[i]):
if pattern[i] == '|' {
sets = append(sets, &strings.Builder{})
} else {
return nil
}
case pattern[i] == '\\':
escaped = true
default:
sets[len(sets)-1].WriteByte(pattern[i])
}
}
}
matches := make([]string, 0, len(sets))
for _, s := range sets {
if s.Len() > 0 {
matches = append(matches, s.String())
}
}
return matches
}
// PostingsForMatchers assembles a single postings iterator against the index reader
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
// based on the given matchers. The resulting postings are not ordered by series.
func PostingsForMatchers(ix IndexReader, ms ...*labels.Matcher) (index.Postings, error) {
Be smarter in how we look at matchers. (#572) * Add unittests for PostingsForMatcher. * Selector methods are all stateless, don't need a reference. * Be smarter in how we look at matchers. Look at all matchers to see if a label can be empty. Optimise Not handling, so i!="2" is a simple lookup rather than an inverse postings list. All all the Withouts together, rather than having to subtract each from all postings. Change the pre-expand the postings logic to always do it before doing a Without only. Don't do that if it's already a list. The initial goal here was that the oft-seen pattern i=~"something.+",i!="foo",i!="bar" becomes more efficient. benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1"-4 5888 6160 +4.62% BenchmarkHeadPostingForMatchers/n="1",j="foo"-4 7190 6640 -7.65% BenchmarkHeadPostingForMatchers/j="foo",n="1"-4 6038 5923 -1.90% BenchmarkHeadPostingForMatchers/n="1",j!="foo"-4 6030884 4850525 -19.57% BenchmarkHeadPostingForMatchers/i=~".*"-4 887377940 230329137 -74.04% BenchmarkHeadPostingForMatchers/i=~".+"-4 490316101 319931758 -34.75% BenchmarkHeadPostingForMatchers/i=~""-4 594961991 130279313 -78.10% BenchmarkHeadPostingForMatchers/i!=""-4 537542388 318751015 -40.70% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo"-4 10460243 8565195 -18.12% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo"-4 44964267 8561546 -80.96% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo"-4 42244885 29137737 -31.03% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo"-4 35285834 32774584 -7.12% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo"-4 8951047 8379024 -6.39% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo"-4 63813335 30672688 -51.93% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo"-4 45381112 44924397 -1.01% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-04-09 03:59:45 -07:00
var its, notIts []index.Postings
// See which label must be non-empty.
// Optimization for case like {l=~".", l!="1"}.
Be smarter in how we look at matchers. (#572) * Add unittests for PostingsForMatcher. * Selector methods are all stateless, don't need a reference. * Be smarter in how we look at matchers. Look at all matchers to see if a label can be empty. Optimise Not handling, so i!="2" is a simple lookup rather than an inverse postings list. All all the Withouts together, rather than having to subtract each from all postings. Change the pre-expand the postings logic to always do it before doing a Without only. Don't do that if it's already a list. The initial goal here was that the oft-seen pattern i=~"something.+",i!="foo",i!="bar" becomes more efficient. benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1"-4 5888 6160 +4.62% BenchmarkHeadPostingForMatchers/n="1",j="foo"-4 7190 6640 -7.65% BenchmarkHeadPostingForMatchers/j="foo",n="1"-4 6038 5923 -1.90% BenchmarkHeadPostingForMatchers/n="1",j!="foo"-4 6030884 4850525 -19.57% BenchmarkHeadPostingForMatchers/i=~".*"-4 887377940 230329137 -74.04% BenchmarkHeadPostingForMatchers/i=~".+"-4 490316101 319931758 -34.75% BenchmarkHeadPostingForMatchers/i=~""-4 594961991 130279313 -78.10% BenchmarkHeadPostingForMatchers/i!=""-4 537542388 318751015 -40.70% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo"-4 10460243 8565195 -18.12% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo"-4 44964267 8561546 -80.96% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo"-4 42244885 29137737 -31.03% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo"-4 35285834 32774584 -7.12% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo"-4 8951047 8379024 -6.39% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo"-4 63813335 30672688 -51.93% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo"-4 45381112 44924397 -1.01% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-04-09 03:59:45 -07:00
labelMustBeSet := make(map[string]bool, len(ms))
for _, m := range ms {
if !m.Matches("") {
labelMustBeSet[m.Name] = true
Be smarter in how we look at matchers. (#572) * Add unittests for PostingsForMatcher. * Selector methods are all stateless, don't need a reference. * Be smarter in how we look at matchers. Look at all matchers to see if a label can be empty. Optimise Not handling, so i!="2" is a simple lookup rather than an inverse postings list. All all the Withouts together, rather than having to subtract each from all postings. Change the pre-expand the postings logic to always do it before doing a Without only. Don't do that if it's already a list. The initial goal here was that the oft-seen pattern i=~"something.+",i!="foo",i!="bar" becomes more efficient. benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1"-4 5888 6160 +4.62% BenchmarkHeadPostingForMatchers/n="1",j="foo"-4 7190 6640 -7.65% BenchmarkHeadPostingForMatchers/j="foo",n="1"-4 6038 5923 -1.90% BenchmarkHeadPostingForMatchers/n="1",j!="foo"-4 6030884 4850525 -19.57% BenchmarkHeadPostingForMatchers/i=~".*"-4 887377940 230329137 -74.04% BenchmarkHeadPostingForMatchers/i=~".+"-4 490316101 319931758 -34.75% BenchmarkHeadPostingForMatchers/i=~""-4 594961991 130279313 -78.10% BenchmarkHeadPostingForMatchers/i!=""-4 537542388 318751015 -40.70% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo"-4 10460243 8565195 -18.12% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo"-4 44964267 8561546 -80.96% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo"-4 42244885 29137737 -31.03% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo"-4 35285834 32774584 -7.12% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo"-4 8951047 8379024 -6.39% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo"-4 63813335 30672688 -51.93% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo"-4 45381112 44924397 -1.01% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-04-09 03:59:45 -07:00
}
}
for _, m := range ms {
if labelMustBeSet[m.Name] {
Be smarter in how we look at matchers. (#572) * Add unittests for PostingsForMatcher. * Selector methods are all stateless, don't need a reference. * Be smarter in how we look at matchers. Look at all matchers to see if a label can be empty. Optimise Not handling, so i!="2" is a simple lookup rather than an inverse postings list. All all the Withouts together, rather than having to subtract each from all postings. Change the pre-expand the postings logic to always do it before doing a Without only. Don't do that if it's already a list. The initial goal here was that the oft-seen pattern i=~"something.+",i!="foo",i!="bar" becomes more efficient. benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1"-4 5888 6160 +4.62% BenchmarkHeadPostingForMatchers/n="1",j="foo"-4 7190 6640 -7.65% BenchmarkHeadPostingForMatchers/j="foo",n="1"-4 6038 5923 -1.90% BenchmarkHeadPostingForMatchers/n="1",j!="foo"-4 6030884 4850525 -19.57% BenchmarkHeadPostingForMatchers/i=~".*"-4 887377940 230329137 -74.04% BenchmarkHeadPostingForMatchers/i=~".+"-4 490316101 319931758 -34.75% BenchmarkHeadPostingForMatchers/i=~""-4 594961991 130279313 -78.10% BenchmarkHeadPostingForMatchers/i!=""-4 537542388 318751015 -40.70% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo"-4 10460243 8565195 -18.12% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo"-4 44964267 8561546 -80.96% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo"-4 42244885 29137737 -31.03% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo"-4 35285834 32774584 -7.12% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo"-4 8951047 8379024 -6.39% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo"-4 63813335 30672688 -51.93% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo"-4 45381112 44924397 -1.01% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-04-09 03:59:45 -07:00
// If this matcher must be non-empty, we can be smarter.
matchesEmpty := m.Matches("")
isNot := m.Type == labels.MatchNotEqual || m.Type == labels.MatchNotRegexp
Be smarter in how we look at matchers. (#572) * Add unittests for PostingsForMatcher. * Selector methods are all stateless, don't need a reference. * Be smarter in how we look at matchers. Look at all matchers to see if a label can be empty. Optimise Not handling, so i!="2" is a simple lookup rather than an inverse postings list. All all the Withouts together, rather than having to subtract each from all postings. Change the pre-expand the postings logic to always do it before doing a Without only. Don't do that if it's already a list. The initial goal here was that the oft-seen pattern i=~"something.+",i!="foo",i!="bar" becomes more efficient. benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1"-4 5888 6160 +4.62% BenchmarkHeadPostingForMatchers/n="1",j="foo"-4 7190 6640 -7.65% BenchmarkHeadPostingForMatchers/j="foo",n="1"-4 6038 5923 -1.90% BenchmarkHeadPostingForMatchers/n="1",j!="foo"-4 6030884 4850525 -19.57% BenchmarkHeadPostingForMatchers/i=~".*"-4 887377940 230329137 -74.04% BenchmarkHeadPostingForMatchers/i=~".+"-4 490316101 319931758 -34.75% BenchmarkHeadPostingForMatchers/i=~""-4 594961991 130279313 -78.10% BenchmarkHeadPostingForMatchers/i!=""-4 537542388 318751015 -40.70% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo"-4 10460243 8565195 -18.12% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo"-4 44964267 8561546 -80.96% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo"-4 42244885 29137737 -31.03% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo"-4 35285834 32774584 -7.12% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo"-4 8951047 8379024 -6.39% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo"-4 63813335 30672688 -51.93% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo"-4 45381112 44924397 -1.01% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-04-09 03:59:45 -07:00
if isNot && matchesEmpty { // l!="foo"
// If the label can't be empty and is a Not and the inner matcher
// doesn't match empty, then subtract it out at the end.
inverse, err := m.Inverse()
if err != nil {
return nil, err
}
it, err := postingsForMatcher(ix, inverse)
Be smarter in how we look at matchers. (#572) * Add unittests for PostingsForMatcher. * Selector methods are all stateless, don't need a reference. * Be smarter in how we look at matchers. Look at all matchers to see if a label can be empty. Optimise Not handling, so i!="2" is a simple lookup rather than an inverse postings list. All all the Withouts together, rather than having to subtract each from all postings. Change the pre-expand the postings logic to always do it before doing a Without only. Don't do that if it's already a list. The initial goal here was that the oft-seen pattern i=~"something.+",i!="foo",i!="bar" becomes more efficient. benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1"-4 5888 6160 +4.62% BenchmarkHeadPostingForMatchers/n="1",j="foo"-4 7190 6640 -7.65% BenchmarkHeadPostingForMatchers/j="foo",n="1"-4 6038 5923 -1.90% BenchmarkHeadPostingForMatchers/n="1",j!="foo"-4 6030884 4850525 -19.57% BenchmarkHeadPostingForMatchers/i=~".*"-4 887377940 230329137 -74.04% BenchmarkHeadPostingForMatchers/i=~".+"-4 490316101 319931758 -34.75% BenchmarkHeadPostingForMatchers/i=~""-4 594961991 130279313 -78.10% BenchmarkHeadPostingForMatchers/i!=""-4 537542388 318751015 -40.70% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo"-4 10460243 8565195 -18.12% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo"-4 44964267 8561546 -80.96% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo"-4 42244885 29137737 -31.03% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo"-4 35285834 32774584 -7.12% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo"-4 8951047 8379024 -6.39% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo"-4 63813335 30672688 -51.93% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo"-4 45381112 44924397 -1.01% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-04-09 03:59:45 -07:00
if err != nil {
return nil, err
}
notIts = append(notIts, it)
} else if isNot && !matchesEmpty { // l!=""
// If the label can't be empty and is a Not, but the inner matcher can
// be empty we need to use inversePostingsForMatcher.
inverse, err := m.Inverse()
if err != nil {
return nil, err
}
it, err := inversePostingsForMatcher(ix, inverse)
Be smarter in how we look at matchers. (#572) * Add unittests for PostingsForMatcher. * Selector methods are all stateless, don't need a reference. * Be smarter in how we look at matchers. Look at all matchers to see if a label can be empty. Optimise Not handling, so i!="2" is a simple lookup rather than an inverse postings list. All all the Withouts together, rather than having to subtract each from all postings. Change the pre-expand the postings logic to always do it before doing a Without only. Don't do that if it's already a list. The initial goal here was that the oft-seen pattern i=~"something.+",i!="foo",i!="bar" becomes more efficient. benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1"-4 5888 6160 +4.62% BenchmarkHeadPostingForMatchers/n="1",j="foo"-4 7190 6640 -7.65% BenchmarkHeadPostingForMatchers/j="foo",n="1"-4 6038 5923 -1.90% BenchmarkHeadPostingForMatchers/n="1",j!="foo"-4 6030884 4850525 -19.57% BenchmarkHeadPostingForMatchers/i=~".*"-4 887377940 230329137 -74.04% BenchmarkHeadPostingForMatchers/i=~".+"-4 490316101 319931758 -34.75% BenchmarkHeadPostingForMatchers/i=~""-4 594961991 130279313 -78.10% BenchmarkHeadPostingForMatchers/i!=""-4 537542388 318751015 -40.70% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo"-4 10460243 8565195 -18.12% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo"-4 44964267 8561546 -80.96% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo"-4 42244885 29137737 -31.03% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo"-4 35285834 32774584 -7.12% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo"-4 8951047 8379024 -6.39% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo"-4 63813335 30672688 -51.93% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo"-4 45381112 44924397 -1.01% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-04-09 03:59:45 -07:00
if err != nil {
return nil, err
}
its = append(its, it)
} else { // l="a"
// Non-Not matcher, use normal postingsForMatcher.
it, err := postingsForMatcher(ix, m)
if err != nil {
return nil, err
}
its = append(its, it)
}
} else { // l=""
// If the matchers for a labelname selects an empty value, it selects all
// the series which don't have the label name set too. See:
// https://github.com/prometheus/prometheus/issues/3575 and
// https://github.com/prometheus/prometheus/pull/3578#issuecomment-351653555
it, err := inversePostingsForMatcher(ix, m)
if err != nil {
return nil, err
}
notIts = append(notIts, it)
}
}
// If there's nothing to subtract from, add in everything and remove the notIts later.
if len(its) == 0 && len(notIts) != 0 {
Reduce memory used by postings offset table. 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>
2019-12-05 10:27:40 -08:00
k, v := index.AllPostingsKey()
allPostings, err := ix.Postings(k, v)
if err != nil {
return nil, err
}
Be smarter in how we look at matchers. (#572) * Add unittests for PostingsForMatcher. * Selector methods are all stateless, don't need a reference. * Be smarter in how we look at matchers. Look at all matchers to see if a label can be empty. Optimise Not handling, so i!="2" is a simple lookup rather than an inverse postings list. All all the Withouts together, rather than having to subtract each from all postings. Change the pre-expand the postings logic to always do it before doing a Without only. Don't do that if it's already a list. The initial goal here was that the oft-seen pattern i=~"something.+",i!="foo",i!="bar" becomes more efficient. benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1"-4 5888 6160 +4.62% BenchmarkHeadPostingForMatchers/n="1",j="foo"-4 7190 6640 -7.65% BenchmarkHeadPostingForMatchers/j="foo",n="1"-4 6038 5923 -1.90% BenchmarkHeadPostingForMatchers/n="1",j!="foo"-4 6030884 4850525 -19.57% BenchmarkHeadPostingForMatchers/i=~".*"-4 887377940 230329137 -74.04% BenchmarkHeadPostingForMatchers/i=~".+"-4 490316101 319931758 -34.75% BenchmarkHeadPostingForMatchers/i=~""-4 594961991 130279313 -78.10% BenchmarkHeadPostingForMatchers/i!=""-4 537542388 318751015 -40.70% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo"-4 10460243 8565195 -18.12% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo"-4 44964267 8561546 -80.96% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo"-4 42244885 29137737 -31.03% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo"-4 35285834 32774584 -7.12% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo"-4 8951047 8379024 -6.39% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo"-4 63813335 30672688 -51.93% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo"-4 45381112 44924397 -1.01% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-04-09 03:59:45 -07:00
its = append(its, allPostings)
}
Be smarter in how we look at matchers. (#572) * Add unittests for PostingsForMatcher. * Selector methods are all stateless, don't need a reference. * Be smarter in how we look at matchers. Look at all matchers to see if a label can be empty. Optimise Not handling, so i!="2" is a simple lookup rather than an inverse postings list. All all the Withouts together, rather than having to subtract each from all postings. Change the pre-expand the postings logic to always do it before doing a Without only. Don't do that if it's already a list. The initial goal here was that the oft-seen pattern i=~"something.+",i!="foo",i!="bar" becomes more efficient. benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1"-4 5888 6160 +4.62% BenchmarkHeadPostingForMatchers/n="1",j="foo"-4 7190 6640 -7.65% BenchmarkHeadPostingForMatchers/j="foo",n="1"-4 6038 5923 -1.90% BenchmarkHeadPostingForMatchers/n="1",j!="foo"-4 6030884 4850525 -19.57% BenchmarkHeadPostingForMatchers/i=~".*"-4 887377940 230329137 -74.04% BenchmarkHeadPostingForMatchers/i=~".+"-4 490316101 319931758 -34.75% BenchmarkHeadPostingForMatchers/i=~""-4 594961991 130279313 -78.10% BenchmarkHeadPostingForMatchers/i!=""-4 537542388 318751015 -40.70% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo"-4 10460243 8565195 -18.12% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo"-4 44964267 8561546 -80.96% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo"-4 42244885 29137737 -31.03% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo"-4 35285834 32774584 -7.12% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo"-4 8951047 8379024 -6.39% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo"-4 63813335 30672688 -51.93% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo"-4 45381112 44924397 -1.01% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-04-09 03:59:45 -07:00
it := index.Intersect(its...)
for _, n := range notIts {
it = index.Without(it, n)
}
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
return it, nil
}
func postingsForMatcher(ix IndexReader, m *labels.Matcher) (index.Postings, error) {
Be smarter in how we look at matchers. (#572) * Add unittests for PostingsForMatcher. * Selector methods are all stateless, don't need a reference. * Be smarter in how we look at matchers. Look at all matchers to see if a label can be empty. Optimise Not handling, so i!="2" is a simple lookup rather than an inverse postings list. All all the Withouts together, rather than having to subtract each from all postings. Change the pre-expand the postings logic to always do it before doing a Without only. Don't do that if it's already a list. The initial goal here was that the oft-seen pattern i=~"something.+",i!="foo",i!="bar" becomes more efficient. benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1"-4 5888 6160 +4.62% BenchmarkHeadPostingForMatchers/n="1",j="foo"-4 7190 6640 -7.65% BenchmarkHeadPostingForMatchers/j="foo",n="1"-4 6038 5923 -1.90% BenchmarkHeadPostingForMatchers/n="1",j!="foo"-4 6030884 4850525 -19.57% BenchmarkHeadPostingForMatchers/i=~".*"-4 887377940 230329137 -74.04% BenchmarkHeadPostingForMatchers/i=~".+"-4 490316101 319931758 -34.75% BenchmarkHeadPostingForMatchers/i=~""-4 594961991 130279313 -78.10% BenchmarkHeadPostingForMatchers/i!=""-4 537542388 318751015 -40.70% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo"-4 10460243 8565195 -18.12% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo"-4 44964267 8561546 -80.96% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo"-4 42244885 29137737 -31.03% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo"-4 35285834 32774584 -7.12% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo"-4 8951047 8379024 -6.39% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo"-4 63813335 30672688 -51.93% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo"-4 45381112 44924397 -1.01% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-04-09 03:59:45 -07:00
// This method will not return postings for missing labels.
2017-04-05 05:14:30 -07:00
// Fast-path for equal matching.
if m.Type == labels.MatchEqual {
return ix.Postings(m.Name, m.Value)
2017-04-05 05:14:30 -07:00
}
// Fast-path for set matching.
if m.Type == labels.MatchRegexp {
setMatches := findSetMatches(m.GetRegexString())
if len(setMatches) > 0 {
Reduce memory used by postings offset table. 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>
2019-12-05 10:27:40 -08:00
sort.Strings(setMatches)
return ix.Postings(m.Name, setMatches...)
}
}
Replace StringTuples with []string Benchmarks show slight cpu/allocs improvements. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Head/n="1"-4 269978625 235305110 -12.84% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 129739974 121646193 -6.24% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 123826274 122056253 -1.43% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 126962188 130038235 +2.42% BenchmarkPostingsForMatchers/Head/i=~".*"-4 6423653989 5991126455 -6.73% BenchmarkPostingsForMatchers/Head/i=~".+"-4 6934647521 7033370634 +1.42% BenchmarkPostingsForMatchers/Head/i=~""-4 1177781285 1121497736 -4.78% BenchmarkPostingsForMatchers/Head/i!=""-4 7033680256 7246094991 +3.02% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 293702332 287440212 -2.13% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 307628268 307039964 -0.19% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 512247746 480003862 -6.29% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 361199794 367066917 +1.62% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 478863761 476037784 -0.59% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 103394659 102902098 -0.48% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 482552781 475453903 -1.47% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 559257389 589297047 +5.37% BenchmarkPostingsForMatchers/Block/n="1"-4 36492 37012 +1.42% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 557788 611903 +9.70% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 554443 573814 +3.49% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 553227 553826 +0.11% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113855090 111707221 -1.89% BenchmarkPostingsForMatchers/Block/i=~".+"-4 133994674 136520728 +1.89% BenchmarkPostingsForMatchers/Block/i=~""-4 38138091 36299898 -4.82% BenchmarkPostingsForMatchers/Block/i!=""-4 28861213 27396723 -5.07% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112699941 110853868 -1.64% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 113198026 111389742 -1.60% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 28994069 27363804 -5.62% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 29709406 28589223 -3.77% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 134695119 135736971 +0.77% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 26783286 25826928 -3.57% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 134733254 134116739 -0.46% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 160713937 158802768 -1.19% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Head/n="1"-4 36 36 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 38 38 +0.00% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 38 38 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 42 40 -4.76% BenchmarkPostingsForMatchers/Head/i=~".*"-4 61 59 -3.28% BenchmarkPostingsForMatchers/Head/i=~".+"-4 100088 100087 -0.00% BenchmarkPostingsForMatchers/Head/i=~""-4 100053 100051 -0.00% BenchmarkPostingsForMatchers/Head/i!=""-4 100087 100085 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 44 42 -4.55% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 50 48 -4.00% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 100076 100074 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 100077 100075 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 100077 100074 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 11167 11165 -0.02% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 100082 100080 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 111265 111261 -0.00% BenchmarkPostingsForMatchers/Block/n="1"-4 6 6 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 11 11 +0.00% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 11 11 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 13 -13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 12 10 -16.67% BenchmarkPostingsForMatchers/Block/i=~".+"-4 100040 100038 -0.00% BenchmarkPostingsForMatchers/Block/i=~""-4 100045 100043 -0.00% BenchmarkPostingsForMatchers/Block/i!=""-4 100041 100039 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 17 15 -11.76% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 23 21 -8.70% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 100046 100044 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 100050 100048 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 100049 100047 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 11150 11148 -0.02% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 100055 100053 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 111238 111234 -0.00% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Head/n="1"-4 10887816 10887817 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 5456648 5456648 +0.00% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 5456648 5456648 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 5456792 5456712 -0.00% BenchmarkPostingsForMatchers/Head/i=~".*"-4 258254408 258254328 -0.00% BenchmarkPostingsForMatchers/Head/i=~".+"-4 273912888 273912904 +0.00% BenchmarkPostingsForMatchers/Head/i=~""-4 17266680 17266600 -0.00% BenchmarkPostingsForMatchers/Head/i!=""-4 273912416 273912336 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 7062578 7062498 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 7062770 7062690 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 28152346 28152266 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 22721178 22721098 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 22721336 22721224 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 3623804 3623733 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 22721480 22721400 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 24816652 24816444 -0.00% BenchmarkPostingsForMatchers/Block/n="1"-4 296 296 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 424 424 +0.00% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 424 424 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 1544 1464 -5.18% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1606114 1606045 -0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 17264709 17264629 -0.00% BenchmarkPostingsForMatchers/Block/i=~""-4 17264780 17264696 -0.00% BenchmarkPostingsForMatchers/Block/i!=""-4 17264680 17264600 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1606253 1606165 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1606445 1606348 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 17264808 17264728 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 17264936 17264856 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 17264965 17264885 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3148262 3148182 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 17265141 17265061 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 20416944 20416784 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-01 03:38:01 -08:00
vals, err := ix.LabelValues(m.Name)
if err != nil {
return nil, err
}
var res []string
Replace StringTuples with []string Benchmarks show slight cpu/allocs improvements. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Head/n="1"-4 269978625 235305110 -12.84% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 129739974 121646193 -6.24% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 123826274 122056253 -1.43% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 126962188 130038235 +2.42% BenchmarkPostingsForMatchers/Head/i=~".*"-4 6423653989 5991126455 -6.73% BenchmarkPostingsForMatchers/Head/i=~".+"-4 6934647521 7033370634 +1.42% BenchmarkPostingsForMatchers/Head/i=~""-4 1177781285 1121497736 -4.78% BenchmarkPostingsForMatchers/Head/i!=""-4 7033680256 7246094991 +3.02% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 293702332 287440212 -2.13% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 307628268 307039964 -0.19% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 512247746 480003862 -6.29% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 361199794 367066917 +1.62% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 478863761 476037784 -0.59% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 103394659 102902098 -0.48% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 482552781 475453903 -1.47% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 559257389 589297047 +5.37% BenchmarkPostingsForMatchers/Block/n="1"-4 36492 37012 +1.42% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 557788 611903 +9.70% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 554443 573814 +3.49% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 553227 553826 +0.11% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113855090 111707221 -1.89% BenchmarkPostingsForMatchers/Block/i=~".+"-4 133994674 136520728 +1.89% BenchmarkPostingsForMatchers/Block/i=~""-4 38138091 36299898 -4.82% BenchmarkPostingsForMatchers/Block/i!=""-4 28861213 27396723 -5.07% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112699941 110853868 -1.64% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 113198026 111389742 -1.60% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 28994069 27363804 -5.62% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 29709406 28589223 -3.77% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 134695119 135736971 +0.77% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 26783286 25826928 -3.57% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 134733254 134116739 -0.46% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 160713937 158802768 -1.19% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Head/n="1"-4 36 36 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 38 38 +0.00% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 38 38 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 42 40 -4.76% BenchmarkPostingsForMatchers/Head/i=~".*"-4 61 59 -3.28% BenchmarkPostingsForMatchers/Head/i=~".+"-4 100088 100087 -0.00% BenchmarkPostingsForMatchers/Head/i=~""-4 100053 100051 -0.00% BenchmarkPostingsForMatchers/Head/i!=""-4 100087 100085 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 44 42 -4.55% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 50 48 -4.00% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 100076 100074 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 100077 100075 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 100077 100074 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 11167 11165 -0.02% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 100082 100080 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 111265 111261 -0.00% BenchmarkPostingsForMatchers/Block/n="1"-4 6 6 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 11 11 +0.00% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 11 11 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 13 -13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 12 10 -16.67% BenchmarkPostingsForMatchers/Block/i=~".+"-4 100040 100038 -0.00% BenchmarkPostingsForMatchers/Block/i=~""-4 100045 100043 -0.00% BenchmarkPostingsForMatchers/Block/i!=""-4 100041 100039 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 17 15 -11.76% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 23 21 -8.70% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 100046 100044 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 100050 100048 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 100049 100047 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 11150 11148 -0.02% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 100055 100053 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 111238 111234 -0.00% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Head/n="1"-4 10887816 10887817 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 5456648 5456648 +0.00% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 5456648 5456648 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 5456792 5456712 -0.00% BenchmarkPostingsForMatchers/Head/i=~".*"-4 258254408 258254328 -0.00% BenchmarkPostingsForMatchers/Head/i=~".+"-4 273912888 273912904 +0.00% BenchmarkPostingsForMatchers/Head/i=~""-4 17266680 17266600 -0.00% BenchmarkPostingsForMatchers/Head/i!=""-4 273912416 273912336 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 7062578 7062498 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 7062770 7062690 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 28152346 28152266 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 22721178 22721098 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 22721336 22721224 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 3623804 3623733 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 22721480 22721400 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 24816652 24816444 -0.00% BenchmarkPostingsForMatchers/Block/n="1"-4 296 296 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 424 424 +0.00% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 424 424 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 1544 1464 -5.18% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1606114 1606045 -0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 17264709 17264629 -0.00% BenchmarkPostingsForMatchers/Block/i=~""-4 17264780 17264696 -0.00% BenchmarkPostingsForMatchers/Block/i!=""-4 17264680 17264600 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1606253 1606165 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1606445 1606348 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 17264808 17264728 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 17264936 17264856 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 17264965 17264885 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3148262 3148182 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 17265141 17265061 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 20416944 20416784 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-01 03:38:01 -08:00
for _, val := range vals {
if m.Matches(val) {
res = append(res, val)
}
}
if len(res) == 0 {
return index.EmptyPostings(), nil
}
Reduce memory used by postings offset table. 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>
2019-12-05 10:27:40 -08:00
return ix.Postings(m.Name, res...)
}
// inversePostingsForMatcher returns the postings for the series with the label name set but not matching the matcher.
func inversePostingsForMatcher(ix IndexReader, m *labels.Matcher) (index.Postings, error) {
Replace StringTuples with []string Benchmarks show slight cpu/allocs improvements. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Head/n="1"-4 269978625 235305110 -12.84% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 129739974 121646193 -6.24% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 123826274 122056253 -1.43% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 126962188 130038235 +2.42% BenchmarkPostingsForMatchers/Head/i=~".*"-4 6423653989 5991126455 -6.73% BenchmarkPostingsForMatchers/Head/i=~".+"-4 6934647521 7033370634 +1.42% BenchmarkPostingsForMatchers/Head/i=~""-4 1177781285 1121497736 -4.78% BenchmarkPostingsForMatchers/Head/i!=""-4 7033680256 7246094991 +3.02% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 293702332 287440212 -2.13% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 307628268 307039964 -0.19% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 512247746 480003862 -6.29% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 361199794 367066917 +1.62% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 478863761 476037784 -0.59% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 103394659 102902098 -0.48% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 482552781 475453903 -1.47% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 559257389 589297047 +5.37% BenchmarkPostingsForMatchers/Block/n="1"-4 36492 37012 +1.42% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 557788 611903 +9.70% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 554443 573814 +3.49% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 553227 553826 +0.11% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113855090 111707221 -1.89% BenchmarkPostingsForMatchers/Block/i=~".+"-4 133994674 136520728 +1.89% BenchmarkPostingsForMatchers/Block/i=~""-4 38138091 36299898 -4.82% BenchmarkPostingsForMatchers/Block/i!=""-4 28861213 27396723 -5.07% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112699941 110853868 -1.64% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 113198026 111389742 -1.60% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 28994069 27363804 -5.62% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 29709406 28589223 -3.77% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 134695119 135736971 +0.77% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 26783286 25826928 -3.57% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 134733254 134116739 -0.46% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 160713937 158802768 -1.19% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Head/n="1"-4 36 36 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 38 38 +0.00% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 38 38 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 42 40 -4.76% BenchmarkPostingsForMatchers/Head/i=~".*"-4 61 59 -3.28% BenchmarkPostingsForMatchers/Head/i=~".+"-4 100088 100087 -0.00% BenchmarkPostingsForMatchers/Head/i=~""-4 100053 100051 -0.00% BenchmarkPostingsForMatchers/Head/i!=""-4 100087 100085 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 44 42 -4.55% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 50 48 -4.00% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 100076 100074 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 100077 100075 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 100077 100074 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 11167 11165 -0.02% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 100082 100080 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 111265 111261 -0.00% BenchmarkPostingsForMatchers/Block/n="1"-4 6 6 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 11 11 +0.00% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 11 11 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 13 -13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 12 10 -16.67% BenchmarkPostingsForMatchers/Block/i=~".+"-4 100040 100038 -0.00% BenchmarkPostingsForMatchers/Block/i=~""-4 100045 100043 -0.00% BenchmarkPostingsForMatchers/Block/i!=""-4 100041 100039 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 17 15 -11.76% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 23 21 -8.70% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 100046 100044 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 100050 100048 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 100049 100047 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 11150 11148 -0.02% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 100055 100053 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 111238 111234 -0.00% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Head/n="1"-4 10887816 10887817 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 5456648 5456648 +0.00% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 5456648 5456648 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 5456792 5456712 -0.00% BenchmarkPostingsForMatchers/Head/i=~".*"-4 258254408 258254328 -0.00% BenchmarkPostingsForMatchers/Head/i=~".+"-4 273912888 273912904 +0.00% BenchmarkPostingsForMatchers/Head/i=~""-4 17266680 17266600 -0.00% BenchmarkPostingsForMatchers/Head/i!=""-4 273912416 273912336 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 7062578 7062498 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 7062770 7062690 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 28152346 28152266 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 22721178 22721098 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 22721336 22721224 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 3623804 3623733 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 22721480 22721400 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 24816652 24816444 -0.00% BenchmarkPostingsForMatchers/Block/n="1"-4 296 296 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 424 424 +0.00% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 424 424 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 1544 1464 -5.18% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1606114 1606045 -0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 17264709 17264629 -0.00% BenchmarkPostingsForMatchers/Block/i=~""-4 17264780 17264696 -0.00% BenchmarkPostingsForMatchers/Block/i!=""-4 17264680 17264600 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1606253 1606165 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1606445 1606348 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 17264808 17264728 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 17264936 17264856 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 17264965 17264885 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3148262 3148182 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 17265141 17265061 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 20416944 20416784 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-01 03:38:01 -08:00
vals, err := ix.LabelValues(m.Name)
if err != nil {
return nil, err
}
var res []string
Replace StringTuples with []string Benchmarks show slight cpu/allocs improvements. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Head/n="1"-4 269978625 235305110 -12.84% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 129739974 121646193 -6.24% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 123826274 122056253 -1.43% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 126962188 130038235 +2.42% BenchmarkPostingsForMatchers/Head/i=~".*"-4 6423653989 5991126455 -6.73% BenchmarkPostingsForMatchers/Head/i=~".+"-4 6934647521 7033370634 +1.42% BenchmarkPostingsForMatchers/Head/i=~""-4 1177781285 1121497736 -4.78% BenchmarkPostingsForMatchers/Head/i!=""-4 7033680256 7246094991 +3.02% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 293702332 287440212 -2.13% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 307628268 307039964 -0.19% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 512247746 480003862 -6.29% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 361199794 367066917 +1.62% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 478863761 476037784 -0.59% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 103394659 102902098 -0.48% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 482552781 475453903 -1.47% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 559257389 589297047 +5.37% BenchmarkPostingsForMatchers/Block/n="1"-4 36492 37012 +1.42% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 557788 611903 +9.70% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 554443 573814 +3.49% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 553227 553826 +0.11% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113855090 111707221 -1.89% BenchmarkPostingsForMatchers/Block/i=~".+"-4 133994674 136520728 +1.89% BenchmarkPostingsForMatchers/Block/i=~""-4 38138091 36299898 -4.82% BenchmarkPostingsForMatchers/Block/i!=""-4 28861213 27396723 -5.07% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112699941 110853868 -1.64% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 113198026 111389742 -1.60% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 28994069 27363804 -5.62% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 29709406 28589223 -3.77% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 134695119 135736971 +0.77% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 26783286 25826928 -3.57% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 134733254 134116739 -0.46% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 160713937 158802768 -1.19% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Head/n="1"-4 36 36 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 38 38 +0.00% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 38 38 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 42 40 -4.76% BenchmarkPostingsForMatchers/Head/i=~".*"-4 61 59 -3.28% BenchmarkPostingsForMatchers/Head/i=~".+"-4 100088 100087 -0.00% BenchmarkPostingsForMatchers/Head/i=~""-4 100053 100051 -0.00% BenchmarkPostingsForMatchers/Head/i!=""-4 100087 100085 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 44 42 -4.55% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 50 48 -4.00% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 100076 100074 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 100077 100075 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 100077 100074 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 11167 11165 -0.02% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 100082 100080 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 111265 111261 -0.00% BenchmarkPostingsForMatchers/Block/n="1"-4 6 6 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 11 11 +0.00% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 11 11 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 13 -13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 12 10 -16.67% BenchmarkPostingsForMatchers/Block/i=~".+"-4 100040 100038 -0.00% BenchmarkPostingsForMatchers/Block/i=~""-4 100045 100043 -0.00% BenchmarkPostingsForMatchers/Block/i!=""-4 100041 100039 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 17 15 -11.76% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 23 21 -8.70% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 100046 100044 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 100050 100048 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 100049 100047 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 11150 11148 -0.02% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 100055 100053 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 111238 111234 -0.00% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Head/n="1"-4 10887816 10887817 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j="foo"-4 5456648 5456648 +0.00% BenchmarkPostingsForMatchers/Head/j="foo",n="1"-4 5456648 5456648 +0.00% BenchmarkPostingsForMatchers/Head/n="1",j!="foo"-4 5456792 5456712 -0.00% BenchmarkPostingsForMatchers/Head/i=~".*"-4 258254408 258254328 -0.00% BenchmarkPostingsForMatchers/Head/i=~".+"-4 273912888 273912904 +0.00% BenchmarkPostingsForMatchers/Head/i=~""-4 17266680 17266600 -0.00% BenchmarkPostingsForMatchers/Head/i!=""-4 273912416 273912336 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",j="foo"-4 7062578 7062498 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".*",i!="2",j="foo"-4 7062770 7062690 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!=""-4 28152346 28152266 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i!="",j="foo"-4 22721178 22721098 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",j="foo"-4 22721336 22721224 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~"1.+",j="foo"-4 3623804 3623733 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!="2",j="foo"-4 22721480 22721400 -0.00% BenchmarkPostingsForMatchers/Head/n="1",i=~".+",i!~"2.*",j="foo"-4 24816652 24816444 -0.00% BenchmarkPostingsForMatchers/Block/n="1"-4 296 296 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 424 424 +0.00% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 424 424 +0.00% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 1544 1464 -5.18% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1606114 1606045 -0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 17264709 17264629 -0.00% BenchmarkPostingsForMatchers/Block/i=~""-4 17264780 17264696 -0.00% BenchmarkPostingsForMatchers/Block/i!=""-4 17264680 17264600 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1606253 1606165 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1606445 1606348 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 17264808 17264728 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 17264936 17264856 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 17264965 17264885 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3148262 3148182 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 17265141 17265061 -0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 20416944 20416784 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-01 03:38:01 -08:00
for _, val := range vals {
if !m.Matches(val) {
res = append(res, val)
}
}
Reduce memory used by postings offset table. 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>
2019-12-05 10:27:40 -08:00
return ix.Postings(m.Name, res...)
}
func mergeStrings(a, b []string) []string {
maxl := len(a)
if len(b) > len(a) {
maxl = len(b)
}
res := make([]string, 0, maxl*10/9)
for len(a) > 0 && len(b) > 0 {
d := strings.Compare(a[0], b[0])
if d == 0 {
res = append(res, a[0])
a, b = a[1:], b[1:]
} else if d < 0 {
res = append(res, a[0])
a = a[1:]
} else if d > 0 {
res = append(res, b[0])
b = b[1:]
}
}
// Append all remaining elements.
res = append(res, a...)
res = append(res, b...)
return res
}
// mergedSeriesSet returns a series sets slice as a single series set. The input series sets
// must be sorted and sequential in time.
// TODO(bwplotka): Merge this with merge SeriesSet available in storage package.
type mergedSeriesSet struct {
all []storage.SeriesSet
buf []storage.SeriesSet // A buffer for keeping the order of SeriesSet slice during forwarding the SeriesSet.
ids []int // The indices of chosen SeriesSet for the current run.
done bool
err error
cur storage.Series
}
// TODO(bwplotka): Merge this with merge SeriesSet available in storage package.
func NewMergedSeriesSet(all []storage.SeriesSet) storage.SeriesSet {
if len(all) == 1 {
return all[0]
}
s := &mergedSeriesSet{all: all}
// Initialize first elements of all sets as Next() needs
// one element look-ahead.
s.nextAll()
if len(s.all) == 0 {
s.done = true
}
return s
}
func (s *mergedSeriesSet) At() storage.Series {
return s.cur
2016-12-13 06:26:58 -08:00
}
func (s *mergedSeriesSet) Err() error {
return s.err
}
// nextAll is to call Next() for all SeriesSet.
// Because the order of the SeriesSet slice will affect the results,
// we need to use an buffer slice to hold the order.
func (s *mergedSeriesSet) nextAll() {
s.buf = s.buf[:0]
for _, ss := range s.all {
if ss.Next() {
s.buf = append(s.buf, ss)
} else if ss.Err() != nil {
s.done = true
s.err = ss.Err()
break
}
}
s.all, s.buf = s.buf, s.all
}
2016-12-13 06:26:58 -08:00
// nextWithID is to call Next() for the SeriesSet with the indices of s.ids.
// Because the order of the SeriesSet slice will affect the results,
// we need to use an buffer slice to hold the order.
func (s *mergedSeriesSet) nextWithID() {
if len(s.ids) == 0 {
return
}
s.buf = s.buf[:0]
i1 := 0
i2 := 0
for i1 < len(s.all) {
if i2 < len(s.ids) && i1 == s.ids[i2] {
if !s.all[s.ids[i2]].Next() {
if s.all[s.ids[i2]].Err() != nil {
s.done = true
s.err = s.all[s.ids[i2]].Err()
break
}
i2++
i1++
continue
}
i2++
}
s.buf = append(s.buf, s.all[i1])
i1++
}
s.all, s.buf = s.buf, s.all
}
func (s *mergedSeriesSet) Next() bool {
if s.done {
return false
}
s.nextWithID()
if s.done {
return false
}
s.ids = s.ids[:0]
if len(s.all) == 0 {
s.done = true
return false
}
// Here we are looking for a set of series sets with the lowest labels,
// and we will cache their indexes in s.ids.
s.ids = append(s.ids, 0)
for i := 1; i < len(s.all); i++ {
cmp := labels.Compare(s.all[s.ids[0]].At().Labels(), s.all[i].At().Labels())
if cmp > 0 {
s.ids = s.ids[:1]
s.ids[0] = i
} else if cmp == 0 {
s.ids = append(s.ids, i)
}
}
if len(s.ids) > 1 {
series := make([]storage.Series, len(s.ids))
for i, idx := range s.ids {
series[i] = s.all[idx].At()
}
s.cur = &chainedSeries{series: series}
} else {
s.cur = s.all[s.ids[0]].At()
}
return true
}
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
type mergedVerticalSeriesSet struct {
a, b storage.SeriesSet
cur storage.Series
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
adone, bdone bool
}
// NewMergedVerticalSeriesSet takes two series sets as a single series set.
// The input series sets must be sorted and
// the time ranges of the series can be overlapping.
func NewMergedVerticalSeriesSet(a, b storage.SeriesSet) storage.SeriesSet {
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
return newMergedVerticalSeriesSet(a, b)
}
func newMergedVerticalSeriesSet(a, b storage.SeriesSet) *mergedVerticalSeriesSet {
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
s := &mergedVerticalSeriesSet{a: a, b: b}
// Initialize first elements of both sets as Next() needs
// one element look-ahead.
s.adone = !s.a.Next()
s.bdone = !s.b.Next()
return s
}
func (s *mergedVerticalSeriesSet) At() storage.Series {
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
return s.cur
}
func (s *mergedVerticalSeriesSet) Err() error {
if s.a.Err() != nil {
return s.a.Err()
}
return s.b.Err()
}
func (s *mergedVerticalSeriesSet) compare() int {
if s.adone {
return 1
}
if s.bdone {
return -1
}
return labels.Compare(s.a.At().Labels(), s.b.At().Labels())
}
func (s *mergedVerticalSeriesSet) Next() bool {
if s.adone && s.bdone || s.Err() != nil {
return false
}
d := s.compare()
// Both sets contain the current series. Chain them into a single one.
if d > 0 {
s.cur = s.b.At()
s.bdone = !s.b.Next()
} else if d < 0 {
s.cur = s.a.At()
s.adone = !s.a.Next()
} else {
s.cur = &verticalChainedSeries{series: []storage.Series{s.a.At(), s.b.At()}}
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
s.adone = !s.a.Next()
s.bdone = !s.b.Next()
}
return true
}
// baseChunkSeries loads the label set and chunk references for a postings
// list from an index. It filters out series that have labels set that should be unset.
type baseChunkSeries struct {
p index.Postings
index IndexReader
tombstones tombstones.Reader
lset labels.Labels
chks []chunks.Meta
intervals tombstones.Intervals
err error
}
// LookupChunkSeries retrieves all series for the given matchers and returns a ChunkSeriesSet
// over them. It drops chunks based on tombstones in the given reader.
func LookupChunkSeries(ir IndexReader, tr tombstones.Reader, ms ...*labels.Matcher) (storage.ChunkSeriesSet, error) {
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
return lookupChunkSeries(false, ir, tr, ms...)
}
// LookupChunkSeries retrieves all series for the given matchers and returns a ChunkSeriesSet
// over them. It drops chunks based on tombstones in the given reader. Series will be in order.
func LookupChunkSeriesSorted(ir IndexReader, tr tombstones.Reader, ms ...*labels.Matcher) (storage.ChunkSeriesSet, error) {
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
return lookupChunkSeries(true, ir, tr, ms...)
}
func lookupChunkSeries(sorted bool, ir IndexReader, tr tombstones.Reader, ms ...*labels.Matcher) (storage.ChunkSeriesSet, error) {
if tr == nil {
tr = tombstones.NewMemTombstones()
}
p, err := PostingsForMatchers(ir, ms...)
if err != nil {
return nil, err
}
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
if sorted {
p = ir.SortedPostings(p)
}
return &baseChunkSeries{
p: p,
index: ir,
tombstones: tr,
}, nil
}
func (s *baseChunkSeries) At() (labels.Labels, []chunks.Meta, tombstones.Intervals) {
return s.lset, s.chks, s.intervals
}
func (s *baseChunkSeries) Err() error { return s.err }
func (s *baseChunkSeries) Next() bool {
var (
lset = make(labels.Labels, len(s.lset))
chkMetas = make([]chunks.Meta, len(s.chks))
err error
)
for s.p.Next() {
ref := s.p.At()
if err := s.index.Series(ref, &lset, &chkMetas); err != nil {
// Postings may be stale. Skip if no underlying series exists.
if errors.Cause(err) == ErrNotFound {
continue
}
s.err = err
return false
}
s.lset = lset
s.chks = chkMetas
2017-11-13 04:32:24 -08:00
s.intervals, err = s.tombstones.Get(s.p.At())
if err != nil {
s.err = errors.Wrap(err, "get tombstones")
return false
}
if len(s.intervals) > 0 {
// Only those chunks that are not entirely deleted.
chks := make([]chunks.Meta, 0, len(s.chks))
for _, chk := range s.chks {
if !(tombstones.Interval{Mint: chk.MinTime, Maxt: chk.MaxTime}.IsSubrange(s.intervals)) {
chks = append(chks, chk)
}
}
s.chks = chks
}
return true
}
if err := s.p.Err(); err != nil {
s.err = err
}
return false
}
// populatedChunkSeries loads chunk data from a store for a set of series
// with known chunk references. It filters out chunks that do not fit the
// given time range.
type populatedChunkSeries struct {
set storage.ChunkSeriesSet
chunks ChunkReader
mint, maxt int64
err error
chks []chunks.Meta
lset labels.Labels
intervals tombstones.Intervals
}
func (s *populatedChunkSeries) At() (labels.Labels, []chunks.Meta, tombstones.Intervals) {
return s.lset, s.chks, s.intervals
}
func (s *populatedChunkSeries) Err() error { return s.err }
func (s *populatedChunkSeries) Next() bool {
for s.set.Next() {
lset, chks, dranges := s.set.At()
for len(chks) > 0 {
if chks[0].MaxTime >= s.mint {
break
}
chks = chks[1:]
}
// This is to delete in place while iterating.
for i, rlen := 0, len(chks); i < rlen; i++ {
j := i - (rlen - len(chks))
c := &chks[j]
// Break out at the first chunk that has no overlap with mint, maxt.
if c.MinTime > s.maxt {
chks = chks[:j]
break
}
c.Chunk, s.err = s.chunks.Chunk(c.Ref)
if s.err != nil {
// This means that the chunk has be garbage collected. Remove it from the list.
if s.err == ErrNotFound {
s.err = nil
// Delete in-place.
s.chks = append(chks[:j], chks[j+1:]...)
}
return false
}
}
if len(chks) == 0 {
continue
}
s.lset = lset
s.chks = chks
s.intervals = dranges
return true
}
if err := s.set.Err(); err != nil {
s.err = err
}
return false
}
// blockSeriesSet is a set of series from an inverted index query.
type blockSeriesSet struct {
set storage.ChunkSeriesSet
err error
cur storage.Series
mint, maxt int64
}
func (s *blockSeriesSet) Next() bool {
for s.set.Next() {
lset, chunks, dranges := s.set.At()
s.cur = &chunkSeries{
labels: lset,
chunks: chunks,
mint: s.mint,
maxt: s.maxt,
intervals: dranges,
}
2016-12-30 10:36:28 -08:00
return true
}
if s.set.Err() != nil {
s.err = s.set.Err()
}
return false
}
func (s *blockSeriesSet) At() storage.Series { return s.cur }
func (s *blockSeriesSet) Err() error { return s.err }
// chunkSeries is a series that is backed by a sequence of chunks holding
// time series data.
type chunkSeries struct {
2016-12-21 00:39:01 -08:00
labels labels.Labels
chunks []chunks.Meta // in-order chunk refs
mint, maxt int64
intervals tombstones.Intervals
}
2016-12-21 00:39:01 -08:00
func (s *chunkSeries) Labels() labels.Labels {
return s.labels
}
func (s *chunkSeries) Iterator() chunkenc.Iterator {
return newChunkSeriesIterator(s.chunks, s.intervals, s.mint, s.maxt)
}
// chainedSeries implements a series for a list of time-sorted series.
// They all must have the same labels.
type chainedSeries struct {
series []storage.Series
}
2016-12-21 00:39:01 -08:00
func (s *chainedSeries) Labels() labels.Labels {
return s.series[0].Labels()
}
func (s *chainedSeries) Iterator() chunkenc.Iterator {
return newChainedSeriesIterator(s.series...)
}
// chainedSeriesIterator implements a series iterator over a list
// of time-sorted, non-overlapping iterators.
type chainedSeriesIterator struct {
series []storage.Series // series in time order
i int
cur chunkenc.Iterator
}
func newChainedSeriesIterator(s ...storage.Series) *chainedSeriesIterator {
return &chainedSeriesIterator{
series: s,
i: 0,
cur: s[0].Iterator(),
}
}
func (it *chainedSeriesIterator) Seek(t int64) bool {
// We just scan the chained series sequentially as they are already
// pre-selected by relevant time and should be accessed sequentially anyway.
for i, s := range it.series[it.i:] {
cur := s.Iterator()
if !cur.Seek(t) {
continue
}
it.cur = cur
it.i += i
return true
}
return false
}
func (it *chainedSeriesIterator) Next() bool {
if it.cur.Next() {
return true
}
if err := it.cur.Err(); err != nil {
return false
}
if it.i == len(it.series)-1 {
return false
}
it.i++
it.cur = it.series[it.i].Iterator()
return it.Next()
}
2017-01-02 04:27:52 -08:00
func (it *chainedSeriesIterator) At() (t int64, v float64) {
return it.cur.At()
}
func (it *chainedSeriesIterator) Err() error {
return it.cur.Err()
}
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
// verticalChainedSeries implements a series for a list of time-sorted, time-overlapping series.
// They all must have the same labels.
type verticalChainedSeries struct {
series []storage.Series
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
}
func (s *verticalChainedSeries) Labels() labels.Labels {
return s.series[0].Labels()
}
func (s *verticalChainedSeries) Iterator() chunkenc.Iterator {
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
return newVerticalMergeSeriesIterator(s.series...)
}
// verticalMergeSeriesIterator implements a series iterator over a list
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
// of time-sorted, time-overlapping iterators.
type verticalMergeSeriesIterator struct {
a, b chunkenc.Iterator
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
aok, bok, initialized bool
curT int64
curV float64
}
func newVerticalMergeSeriesIterator(s ...storage.Series) chunkenc.Iterator {
Vertical query merging and compaction (#370) * Vertical series iterator Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Select overlapped blocks first in compactor Plan() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Added vertical compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Code cleanup and comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix tests Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Add benchmark for compaction Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Perform vertical compaction only when blocks are overlapping. Actions for vertical compaction: * Sorting chunk metas * Calling chunks.MergeOverlappingChunks on the chunks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for vertical compaction * BenchmarkNormalCompaction => BenchmarkCompaction * Moved the benchmark from db_test.go to compact_test.go Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Benchmark for query iterator and seek for non overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Vertical query merge only for overlapping blocks Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Simplify logging in Compact(...) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG.md Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Calculate overlapping inside populateBlock Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * MinTime and MaxTime for BlockReader. Using this to find overlapping blocks in populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Sort blocks w.r.t. MinTime in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping in LeveledCompactor.write() instead of returning bool Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Log about overlapping inside LeveledCompactor.populateBlock() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor createBlock to take optional []Series Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * review1 Signed-off-by: Krasi Georgiev <kgeorgie@redhat.com> * Updated CHANGELOG and minor nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * nits Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Updated CHANGELOG Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Refactor iterator and seek benchmarks for Querier. Also has as overlapping blocks. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Additional test case Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * genSeries takes optional labels. Updated BenchmarkQueryIterator and BenchmarkQuerySeek. Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Split genSeries into genSeries and populateSeries Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Check error in benchmark Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in> * Warn about overlapping blocks in reload() Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2019-02-14 05:29:41 -08:00
if len(s) == 1 {
return s[0].Iterator()
} else if len(s) == 2 {
return &verticalMergeSeriesIterator{
a: s[0].Iterator(),
b: s[1].Iterator(),
}
}
return &verticalMergeSeriesIterator{
a: s[0].Iterator(),
b: newVerticalMergeSeriesIterator(s[1:]...),
}
}
func (it *verticalMergeSeriesIterator) Seek(t int64) bool {
it.aok, it.bok = it.a.Seek(t), it.b.Seek(t)
it.initialized = true
return it.Next()
}
func (it *verticalMergeSeriesIterator) Next() bool {
if !it.initialized {
it.aok = it.a.Next()
it.bok = it.b.Next()
it.initialized = true
}
if !it.aok && !it.bok {
return false
}
if !it.aok {
it.curT, it.curV = it.b.At()
it.bok = it.b.Next()
return true
}
if !it.bok {
it.curT, it.curV = it.a.At()
it.aok = it.a.Next()
return true
}
acurT, acurV := it.a.At()
bcurT, bcurV := it.b.At()
if acurT < bcurT {
it.curT, it.curV = acurT, acurV
it.aok = it.a.Next()
} else if acurT > bcurT {
it.curT, it.curV = bcurT, bcurV
it.bok = it.b.Next()
} else {
it.curT, it.curV = bcurT, bcurV
it.aok = it.a.Next()
it.bok = it.b.Next()
}
return true
}
func (it *verticalMergeSeriesIterator) At() (t int64, v float64) {
return it.curT, it.curV
}
func (it *verticalMergeSeriesIterator) Err() error {
if it.a.Err() != nil {
return it.a.Err()
}
return it.b.Err()
}
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// chunkSeriesIterator implements a series iterator on top
// of a list of time-sorted, non-overlapping chunks.
type chunkSeriesIterator struct {
chunks []chunks.Meta
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i int
cur chunkenc.Iterator
bufDelIter *deletedIterator
maxt, mint int64
intervals tombstones.Intervals
2016-12-12 10:12:55 -08:00
}
func newChunkSeriesIterator(cs []chunks.Meta, dranges tombstones.Intervals, mint, maxt int64) *chunkSeriesIterator {
csi := &chunkSeriesIterator{
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chunks: cs,
i: 0,
mint: mint,
maxt: maxt,
intervals: dranges,
2016-12-12 10:12:55 -08:00
}
csi.resetCurIterator()
return csi
}
func (it *chunkSeriesIterator) resetCurIterator() {
if len(it.intervals) == 0 {
it.cur = it.chunks[it.i].Chunk.Iterator(it.cur)
return
}
if it.bufDelIter == nil {
it.bufDelIter = &deletedIterator{
intervals: it.intervals,
}
}
it.bufDelIter.it = it.chunks[it.i].Chunk.Iterator(it.bufDelIter.it)
it.cur = it.bufDelIter
2016-12-12 10:12:55 -08:00
}
func (it *chunkSeriesIterator) Seek(t int64) (ok bool) {
if t > it.maxt {
return false
}
// Seek to the first valid value after t.
if t < it.mint {
t = it.mint
}
2017-06-30 06:06:27 -07:00
for ; it.chunks[it.i].MaxTime < t; it.i++ {
if it.i == len(it.chunks)-1 {
return false
}
}
it.resetCurIterator()
for it.cur.Next() {
2017-01-02 04:27:52 -08:00
t0, _ := it.cur.At()
if t0 >= t {
return true
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}
}
return false
}
2017-01-02 04:27:52 -08:00
func (it *chunkSeriesIterator) At() (t int64, v float64) {
return it.cur.At()
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}
func (it *chunkSeriesIterator) Next() bool {
if it.cur.Next() {
t, _ := it.cur.At()
if t < it.mint {
if !it.Seek(it.mint) {
return false
}
t, _ = it.At()
return t <= it.maxt
}
if t > it.maxt {
return false
}
return true
2016-12-12 10:12:55 -08:00
}
if err := it.cur.Err(); err != nil {
return false
}
if it.i == len(it.chunks)-1 {
return false
}
it.i++
it.resetCurIterator()
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return it.Next()
}
func (it *chunkSeriesIterator) Err() error {
return it.cur.Err()
}
// deletedIterator wraps an Iterator and makes sure any deleted metrics are not
// returned.
type deletedIterator struct {
it chunkenc.Iterator
intervals tombstones.Intervals
}
func (it *deletedIterator) At() (int64, float64) {
return it.it.At()
}
func (it *deletedIterator) Seek(t int64) bool {
if it.it.Err() != nil {
return false
}
return it.it.Seek(t)
}
func (it *deletedIterator) Next() bool {
Outer:
for it.it.Next() {
ts, _ := it.it.At()
for _, tr := range it.intervals {
if tr.InBounds(ts) {
continue Outer
}
if ts <= tr.Maxt {
return true
}
it.intervals = it.intervals[1:]
}
return true
}
return false
}
func (it *deletedIterator) Err() error { return it.it.Err() }