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bleve/search/collector/topn.go

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// Copyright (c) 2014 Couchbase, Inc.
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//
// 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 collector
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import (
"context"
"reflect"
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"time"
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"github.com/blevesearch/bleve/index"
"github.com/blevesearch/bleve/search"
"github.com/blevesearch/bleve/size"
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)
var reflectStaticSizeTopNCollector int
func init() {
var coll TopNCollector
reflectStaticSizeTopNCollector = int(reflect.TypeOf(coll).Size())
}
topn collector switch approach based on size+skip we now use the slice store when size+skip <= 10 and use the heap store when size+skip > 10 here are the new perf numbers: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1150 ns/op 2304 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1417 ns/op 2304 B/op 18 allocs/op BenchmarkTop10of10Scores-4 1000000 2133 ns/op 2312 B/op 25 allocs/op BenchmarkTop10of25Scores-4 500000 3410 ns/op 2464 B/op 26 allocs/op BenchmarkTop10of50Scores-4 300000 5174 ns/op 2464 B/op 26 allocs/op BenchmarkTop10of10000Scores-4 5000 342955 ns/op 2488 B/op 26 allocs/op BenchmarkTop100of0Scores-4 300000 4796 ns/op 18320 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5160 ns/op 18352 B/op 19 allocs/op BenchmarkTop100of10Scores-4 200000 6354 ns/op 18408 B/op 26 allocs/op BenchmarkTop100of25Scores-4 200000 10023 ns/op 18568 B/op 41 allocs/op BenchmarkTop100of50Scores-4 100000 16821 ns/op 18832 B/op 66 allocs/op BenchmarkTop100of10000Scores-4 3000 508989 ns/op 19760 B/op 117 allocs/op BenchmarkTop1000of10000Scores-4 1000 1814198 ns/op 184768 B/op 1017 allocs/op BenchmarkTop10000of100000Scores-4 50 26623920 ns/op 1939592 B/op 19024 allocs/op BenchmarkTop10of100000Scores-4 500 3730204 ns/op 2496 B/op 26 allocs/op BenchmarkTop100of100000Scores-4 300 4057127 ns/op 19912 B/op 117 allocs/op BenchmarkTop1000of100000Scores-4 200 6390180 ns/op 186200 B/op 1017 allocs/op BenchmarkTop10000of1000000Scores-4 20 82785756 ns/op 1963897 B/op 19024 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 31.537s Previously with heap: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1216 ns/op 2288 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1593 ns/op 2320 B/op 19 allocs/op BenchmarkTop10of10Scores-4 500000 2734 ns/op 2376 B/op 26 allocs/op BenchmarkTop10of25Scores-4 300000 5077 ns/op 2520 B/op 27 allocs/op BenchmarkTop10of50Scores-4 200000 6875 ns/op 2528 B/op 27 allocs/op BenchmarkTop10of10000Scores-4 3000 351210 ns/op 2552 B/op 27 allocs/op BenchmarkTop100of0Scores-4 300000 4846 ns/op 18304 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5357 ns/op 18336 B/op 19 allocs/op BenchmarkTop100of10Scores-4 200000 6462 ns/op 18392 B/op 26 allocs/op BenchmarkTop100of25Scores-4 200000 10012 ns/op 18552 B/op 41 allocs/op BenchmarkTop100of50Scores-4 100000 17089 ns/op 18816 B/op 66 allocs/op BenchmarkTop100of10000Scores-4 3000 528193 ns/op 19744 B/op 117 allocs/op BenchmarkTop1000of10000Scores-4 1000 1859447 ns/op 184752 B/op 1017 allocs/op BenchmarkTop10000of100000Scores-4 50 28005664 ns/op 1939576 B/op 19024 allocs/op BenchmarkTop10of100000Scores-4 300 4120091 ns/op 2560 B/op 27 allocs/op BenchmarkTop100of100000Scores-4 300 4325227 ns/op 19896 B/op 117 allocs/op BenchmarkTop1000of100000Scores-4 200 6799804 ns/op 186184 B/op 1017 allocs/op BenchmarkTop10000of1000000Scores-4 20 88494230 ns/op 1963881 B/op 19024 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 30.198s Previously with slice: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1202 ns/op 2288 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1453 ns/op 2288 B/op 18 allocs/op BenchmarkTop10of10Scores-4 1000000 2162 ns/op 2296 B/op 25 allocs/op BenchmarkTop10of25Scores-4 500000 3420 ns/op 2448 B/op 26 allocs/op BenchmarkTop10of50Scores-4 300000 5336 ns/op 2448 B/op 26 allocs/op BenchmarkTop10of10000Scores-4 5000 356733 ns/op 2472 B/op 26 allocs/op BenchmarkTop100of0Scores-4 300000 4877 ns/op 18304 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5132 ns/op 18304 B/op 18 allocs/op BenchmarkTop100of10Scores-4 200000 5787 ns/op 18312 B/op 25 allocs/op BenchmarkTop100of25Scores-4 200000 8083 ns/op 18344 B/op 40 allocs/op BenchmarkTop100of50Scores-4 100000 14419 ns/op 18400 B/op 65 allocs/op BenchmarkTop100of10000Scores-4 2000 665401 ns/op 18848 B/op 116 allocs/op BenchmarkTop1000of10000Scores-4 100 15417063 ns/op 176560 B/op 1016 allocs/op BenchmarkTop10000of100000Scores-4 1 1860011022 ns/op 1857960 B/op 19023 allocs/op BenchmarkTop10of100000Scores-4 300 4099276 ns/op 2480 B/op 26 allocs/op BenchmarkTop100of100000Scores-4 300 4533645 ns/op 18984 B/op 116 allocs/op BenchmarkTop1000of100000Scores-4 50 30519235 ns/op 178008 B/op 1016 allocs/op BenchmarkTop10000of1000000Scores-4 1 3483977385 ns/op 1882072 B/op 19023 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 31.666s It appears that this sucessfully gets the best of both, in these particular benchmark sizes.
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type collectorStore interface {
// Add the document, and if the new store size exceeds the provided size
// the last element is removed and returned. If the size has not been
// exceeded, nil is returned.
AddNotExceedingSize(doc *search.DocumentMatch, size int) *search.DocumentMatch
Final(skip int, fixup collectorFixup) (search.DocumentMatchCollection, error)
}
// PreAllocSizeSkipCap will cap preallocation to this amount when
// size+skip exceeds this value
var PreAllocSizeSkipCap = 1000
type collectorCompare func(i, j *search.DocumentMatch) int
type collectorFixup func(d *search.DocumentMatch) error
// TopNCollector collects the top N hits, optionally skipping some results
type TopNCollector struct {
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size int
skip int
total uint64
maxScore float64
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took time.Duration
sort search.SortOrder
results search.DocumentMatchCollection
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facetsBuilder *search.FacetsBuilder
topn collector switch approach based on size+skip we now use the slice store when size+skip <= 10 and use the heap store when size+skip > 10 here are the new perf numbers: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1150 ns/op 2304 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1417 ns/op 2304 B/op 18 allocs/op BenchmarkTop10of10Scores-4 1000000 2133 ns/op 2312 B/op 25 allocs/op BenchmarkTop10of25Scores-4 500000 3410 ns/op 2464 B/op 26 allocs/op BenchmarkTop10of50Scores-4 300000 5174 ns/op 2464 B/op 26 allocs/op BenchmarkTop10of10000Scores-4 5000 342955 ns/op 2488 B/op 26 allocs/op BenchmarkTop100of0Scores-4 300000 4796 ns/op 18320 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5160 ns/op 18352 B/op 19 allocs/op BenchmarkTop100of10Scores-4 200000 6354 ns/op 18408 B/op 26 allocs/op BenchmarkTop100of25Scores-4 200000 10023 ns/op 18568 B/op 41 allocs/op BenchmarkTop100of50Scores-4 100000 16821 ns/op 18832 B/op 66 allocs/op BenchmarkTop100of10000Scores-4 3000 508989 ns/op 19760 B/op 117 allocs/op BenchmarkTop1000of10000Scores-4 1000 1814198 ns/op 184768 B/op 1017 allocs/op BenchmarkTop10000of100000Scores-4 50 26623920 ns/op 1939592 B/op 19024 allocs/op BenchmarkTop10of100000Scores-4 500 3730204 ns/op 2496 B/op 26 allocs/op BenchmarkTop100of100000Scores-4 300 4057127 ns/op 19912 B/op 117 allocs/op BenchmarkTop1000of100000Scores-4 200 6390180 ns/op 186200 B/op 1017 allocs/op BenchmarkTop10000of1000000Scores-4 20 82785756 ns/op 1963897 B/op 19024 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 31.537s Previously with heap: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1216 ns/op 2288 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1593 ns/op 2320 B/op 19 allocs/op BenchmarkTop10of10Scores-4 500000 2734 ns/op 2376 B/op 26 allocs/op BenchmarkTop10of25Scores-4 300000 5077 ns/op 2520 B/op 27 allocs/op BenchmarkTop10of50Scores-4 200000 6875 ns/op 2528 B/op 27 allocs/op BenchmarkTop10of10000Scores-4 3000 351210 ns/op 2552 B/op 27 allocs/op BenchmarkTop100of0Scores-4 300000 4846 ns/op 18304 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5357 ns/op 18336 B/op 19 allocs/op BenchmarkTop100of10Scores-4 200000 6462 ns/op 18392 B/op 26 allocs/op BenchmarkTop100of25Scores-4 200000 10012 ns/op 18552 B/op 41 allocs/op BenchmarkTop100of50Scores-4 100000 17089 ns/op 18816 B/op 66 allocs/op BenchmarkTop100of10000Scores-4 3000 528193 ns/op 19744 B/op 117 allocs/op BenchmarkTop1000of10000Scores-4 1000 1859447 ns/op 184752 B/op 1017 allocs/op BenchmarkTop10000of100000Scores-4 50 28005664 ns/op 1939576 B/op 19024 allocs/op BenchmarkTop10of100000Scores-4 300 4120091 ns/op 2560 B/op 27 allocs/op BenchmarkTop100of100000Scores-4 300 4325227 ns/op 19896 B/op 117 allocs/op BenchmarkTop1000of100000Scores-4 200 6799804 ns/op 186184 B/op 1017 allocs/op BenchmarkTop10000of1000000Scores-4 20 88494230 ns/op 1963881 B/op 19024 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 30.198s Previously with slice: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1202 ns/op 2288 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1453 ns/op 2288 B/op 18 allocs/op BenchmarkTop10of10Scores-4 1000000 2162 ns/op 2296 B/op 25 allocs/op BenchmarkTop10of25Scores-4 500000 3420 ns/op 2448 B/op 26 allocs/op BenchmarkTop10of50Scores-4 300000 5336 ns/op 2448 B/op 26 allocs/op BenchmarkTop10of10000Scores-4 5000 356733 ns/op 2472 B/op 26 allocs/op BenchmarkTop100of0Scores-4 300000 4877 ns/op 18304 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5132 ns/op 18304 B/op 18 allocs/op BenchmarkTop100of10Scores-4 200000 5787 ns/op 18312 B/op 25 allocs/op BenchmarkTop100of25Scores-4 200000 8083 ns/op 18344 B/op 40 allocs/op BenchmarkTop100of50Scores-4 100000 14419 ns/op 18400 B/op 65 allocs/op BenchmarkTop100of10000Scores-4 2000 665401 ns/op 18848 B/op 116 allocs/op BenchmarkTop1000of10000Scores-4 100 15417063 ns/op 176560 B/op 1016 allocs/op BenchmarkTop10000of100000Scores-4 1 1860011022 ns/op 1857960 B/op 19023 allocs/op BenchmarkTop10of100000Scores-4 300 4099276 ns/op 2480 B/op 26 allocs/op BenchmarkTop100of100000Scores-4 300 4533645 ns/op 18984 B/op 116 allocs/op BenchmarkTop1000of100000Scores-4 50 30519235 ns/op 178008 B/op 1016 allocs/op BenchmarkTop10000of1000000Scores-4 1 3483977385 ns/op 1882072 B/op 19023 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 31.666s It appears that this sucessfully gets the best of both, in these particular benchmark sizes.
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store collectorStore
needDocIds bool
neededFields []string
cachedScoring []bool
cachedDesc []bool
lowestMatchOutsideResults *search.DocumentMatch
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}
// CheckDoneEvery controls how frequently we check the context deadline
const CheckDoneEvery = uint64(1024)
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// NewTopNCollector builds a collector to find the top 'size' hits
// skipping over the first 'skip' hits
// ordering hits by the provided sort order
func NewTopNCollector(size int, skip int, sort search.SortOrder) *TopNCollector {
hc := &TopNCollector{size: size, skip: skip, sort: sort}
// pre-allocate space on the store to avoid reslicing
// unless the size + skip is too large, then cap it
// everything should still work, just reslices as necessary
backingSize := size + skip + 1
if size+skip > PreAllocSizeSkipCap {
backingSize = PreAllocSizeSkipCap + 1
}
topn collector switch approach based on size+skip we now use the slice store when size+skip <= 10 and use the heap store when size+skip > 10 here are the new perf numbers: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1150 ns/op 2304 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1417 ns/op 2304 B/op 18 allocs/op BenchmarkTop10of10Scores-4 1000000 2133 ns/op 2312 B/op 25 allocs/op BenchmarkTop10of25Scores-4 500000 3410 ns/op 2464 B/op 26 allocs/op BenchmarkTop10of50Scores-4 300000 5174 ns/op 2464 B/op 26 allocs/op BenchmarkTop10of10000Scores-4 5000 342955 ns/op 2488 B/op 26 allocs/op BenchmarkTop100of0Scores-4 300000 4796 ns/op 18320 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5160 ns/op 18352 B/op 19 allocs/op BenchmarkTop100of10Scores-4 200000 6354 ns/op 18408 B/op 26 allocs/op BenchmarkTop100of25Scores-4 200000 10023 ns/op 18568 B/op 41 allocs/op BenchmarkTop100of50Scores-4 100000 16821 ns/op 18832 B/op 66 allocs/op BenchmarkTop100of10000Scores-4 3000 508989 ns/op 19760 B/op 117 allocs/op BenchmarkTop1000of10000Scores-4 1000 1814198 ns/op 184768 B/op 1017 allocs/op BenchmarkTop10000of100000Scores-4 50 26623920 ns/op 1939592 B/op 19024 allocs/op BenchmarkTop10of100000Scores-4 500 3730204 ns/op 2496 B/op 26 allocs/op BenchmarkTop100of100000Scores-4 300 4057127 ns/op 19912 B/op 117 allocs/op BenchmarkTop1000of100000Scores-4 200 6390180 ns/op 186200 B/op 1017 allocs/op BenchmarkTop10000of1000000Scores-4 20 82785756 ns/op 1963897 B/op 19024 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 31.537s Previously with heap: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1216 ns/op 2288 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1593 ns/op 2320 B/op 19 allocs/op BenchmarkTop10of10Scores-4 500000 2734 ns/op 2376 B/op 26 allocs/op BenchmarkTop10of25Scores-4 300000 5077 ns/op 2520 B/op 27 allocs/op BenchmarkTop10of50Scores-4 200000 6875 ns/op 2528 B/op 27 allocs/op BenchmarkTop10of10000Scores-4 3000 351210 ns/op 2552 B/op 27 allocs/op BenchmarkTop100of0Scores-4 300000 4846 ns/op 18304 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5357 ns/op 18336 B/op 19 allocs/op BenchmarkTop100of10Scores-4 200000 6462 ns/op 18392 B/op 26 allocs/op BenchmarkTop100of25Scores-4 200000 10012 ns/op 18552 B/op 41 allocs/op BenchmarkTop100of50Scores-4 100000 17089 ns/op 18816 B/op 66 allocs/op BenchmarkTop100of10000Scores-4 3000 528193 ns/op 19744 B/op 117 allocs/op BenchmarkTop1000of10000Scores-4 1000 1859447 ns/op 184752 B/op 1017 allocs/op BenchmarkTop10000of100000Scores-4 50 28005664 ns/op 1939576 B/op 19024 allocs/op BenchmarkTop10of100000Scores-4 300 4120091 ns/op 2560 B/op 27 allocs/op BenchmarkTop100of100000Scores-4 300 4325227 ns/op 19896 B/op 117 allocs/op BenchmarkTop1000of100000Scores-4 200 6799804 ns/op 186184 B/op 1017 allocs/op BenchmarkTop10000of1000000Scores-4 20 88494230 ns/op 1963881 B/op 19024 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 30.198s Previously with slice: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1202 ns/op 2288 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1453 ns/op 2288 B/op 18 allocs/op BenchmarkTop10of10Scores-4 1000000 2162 ns/op 2296 B/op 25 allocs/op BenchmarkTop10of25Scores-4 500000 3420 ns/op 2448 B/op 26 allocs/op BenchmarkTop10of50Scores-4 300000 5336 ns/op 2448 B/op 26 allocs/op BenchmarkTop10of10000Scores-4 5000 356733 ns/op 2472 B/op 26 allocs/op BenchmarkTop100of0Scores-4 300000 4877 ns/op 18304 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5132 ns/op 18304 B/op 18 allocs/op BenchmarkTop100of10Scores-4 200000 5787 ns/op 18312 B/op 25 allocs/op BenchmarkTop100of25Scores-4 200000 8083 ns/op 18344 B/op 40 allocs/op BenchmarkTop100of50Scores-4 100000 14419 ns/op 18400 B/op 65 allocs/op BenchmarkTop100of10000Scores-4 2000 665401 ns/op 18848 B/op 116 allocs/op BenchmarkTop1000of10000Scores-4 100 15417063 ns/op 176560 B/op 1016 allocs/op BenchmarkTop10000of100000Scores-4 1 1860011022 ns/op 1857960 B/op 19023 allocs/op BenchmarkTop10of100000Scores-4 300 4099276 ns/op 2480 B/op 26 allocs/op BenchmarkTop100of100000Scores-4 300 4533645 ns/op 18984 B/op 116 allocs/op BenchmarkTop1000of100000Scores-4 50 30519235 ns/op 178008 B/op 1016 allocs/op BenchmarkTop10000of1000000Scores-4 1 3483977385 ns/op 1882072 B/op 19023 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 31.666s It appears that this sucessfully gets the best of both, in these particular benchmark sizes.
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if size+skip > 10 {
hc.store = newStoreHeap(backingSize, func(i, j *search.DocumentMatch) int {
return hc.sort.Compare(hc.cachedScoring, hc.cachedDesc, i, j)
})
} else {
hc.store = newStoreSlice(backingSize, func(i, j *search.DocumentMatch) int {
return hc.sort.Compare(hc.cachedScoring, hc.cachedDesc, i, j)
})
}
// these lookups traverse an interface, so do once up-front
if sort.RequiresDocID() {
hc.needDocIds = true
}
hc.neededFields = sort.RequiredFields()
hc.cachedScoring = sort.CacheIsScore()
hc.cachedDesc = sort.CacheDescending()
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return hc
}
func (hc *TopNCollector) Size() int {
sizeInBytes := reflectStaticSizeTopNCollector + size.SizeOfPtr
if hc.facetsBuilder != nil {
sizeInBytes += hc.facetsBuilder.Size()
}
for _, entry := range hc.neededFields {
sizeInBytes += len(entry) + size.SizeOfString
}
sizeInBytes += len(hc.cachedScoring) + len(hc.cachedDesc)
return sizeInBytes
}
// Collect goes to the index to find the matching documents
func (hc *TopNCollector) Collect(ctx context.Context, searcher search.Searcher, reader index.IndexReader) error {
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startTime := time.Now()
var err error
var next *search.DocumentMatch
// pre-allocate enough space in the DocumentMatchPool
// unless the size + skip is too large, then cap it
// everything should still work, just allocates DocumentMatches on demand
backingSize := hc.size + hc.skip + 1
if hc.size+hc.skip > PreAllocSizeSkipCap {
backingSize = PreAllocSizeSkipCap + 1
}
searchContext := &search.SearchContext{
DocumentMatchPool: search.NewDocumentMatchPool(backingSize+searcher.DocumentMatchPoolSize(), len(hc.sort)),
}
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select {
case <-ctx.Done():
return ctx.Err()
default:
next, err = searcher.Next(searchContext)
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}
for err == nil && next != nil {
if hc.total%CheckDoneEvery == 0 {
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select {
case <-ctx.Done():
return ctx.Err()
default:
}
}
err = hc.collectSingle(searchContext, reader, next)
if err != nil {
break
}
next, err = searcher.Next(searchContext)
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}
// compute search duration
hc.took = time.Since(startTime)
if err != nil {
return err
}
// finalize actual results
err = hc.finalizeResults(reader)
if err != nil {
return err
}
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return nil
}
var sortByScoreOpt = []string{"_score"}
func (hc *TopNCollector) collectSingle(ctx *search.SearchContext, reader index.IndexReader, d *search.DocumentMatch) error {
var err error
// visit field terms for features that require it (sort, facets)
if len(hc.neededFields) > 0 {
err = hc.visitFieldTerms(reader, d)
if err != nil {
return err
}
}
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// increment total hits
hc.total++
d.HitNumber = hc.total
// update max score
if d.Score > hc.maxScore {
hc.maxScore = d.Score
}
// see if we need to load ID (at this early stage, for example to sort on it)
if hc.needDocIds {
d.ID, err = reader.ExternalID(d.IndexInternalID)
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if err != nil {
return err
}
}
// compute this hits sort value
if len(hc.sort) == 1 && hc.cachedScoring[0] {
d.Sort = sortByScoreOpt
} else {
hc.sort.Value(d)
}
// optimization, we track lowest sorting hit already removed from heap
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// with this one comparison, we can avoid all heap operations if
// this hit would have been added and then immediately removed
if hc.lowestMatchOutsideResults != nil {
cmp := hc.sort.Compare(hc.cachedScoring, hc.cachedDesc, d, hc.lowestMatchOutsideResults)
if cmp >= 0 {
// this hit can't possibly be in the result set, so avoid heap ops
ctx.DocumentMatchPool.Put(d)
return nil
}
}
topn collector switch approach based on size+skip we now use the slice store when size+skip <= 10 and use the heap store when size+skip > 10 here are the new perf numbers: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1150 ns/op 2304 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1417 ns/op 2304 B/op 18 allocs/op BenchmarkTop10of10Scores-4 1000000 2133 ns/op 2312 B/op 25 allocs/op BenchmarkTop10of25Scores-4 500000 3410 ns/op 2464 B/op 26 allocs/op BenchmarkTop10of50Scores-4 300000 5174 ns/op 2464 B/op 26 allocs/op BenchmarkTop10of10000Scores-4 5000 342955 ns/op 2488 B/op 26 allocs/op BenchmarkTop100of0Scores-4 300000 4796 ns/op 18320 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5160 ns/op 18352 B/op 19 allocs/op BenchmarkTop100of10Scores-4 200000 6354 ns/op 18408 B/op 26 allocs/op BenchmarkTop100of25Scores-4 200000 10023 ns/op 18568 B/op 41 allocs/op BenchmarkTop100of50Scores-4 100000 16821 ns/op 18832 B/op 66 allocs/op BenchmarkTop100of10000Scores-4 3000 508989 ns/op 19760 B/op 117 allocs/op BenchmarkTop1000of10000Scores-4 1000 1814198 ns/op 184768 B/op 1017 allocs/op BenchmarkTop10000of100000Scores-4 50 26623920 ns/op 1939592 B/op 19024 allocs/op BenchmarkTop10of100000Scores-4 500 3730204 ns/op 2496 B/op 26 allocs/op BenchmarkTop100of100000Scores-4 300 4057127 ns/op 19912 B/op 117 allocs/op BenchmarkTop1000of100000Scores-4 200 6390180 ns/op 186200 B/op 1017 allocs/op BenchmarkTop10000of1000000Scores-4 20 82785756 ns/op 1963897 B/op 19024 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 31.537s Previously with heap: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1216 ns/op 2288 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1593 ns/op 2320 B/op 19 allocs/op BenchmarkTop10of10Scores-4 500000 2734 ns/op 2376 B/op 26 allocs/op BenchmarkTop10of25Scores-4 300000 5077 ns/op 2520 B/op 27 allocs/op BenchmarkTop10of50Scores-4 200000 6875 ns/op 2528 B/op 27 allocs/op BenchmarkTop10of10000Scores-4 3000 351210 ns/op 2552 B/op 27 allocs/op BenchmarkTop100of0Scores-4 300000 4846 ns/op 18304 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5357 ns/op 18336 B/op 19 allocs/op BenchmarkTop100of10Scores-4 200000 6462 ns/op 18392 B/op 26 allocs/op BenchmarkTop100of25Scores-4 200000 10012 ns/op 18552 B/op 41 allocs/op BenchmarkTop100of50Scores-4 100000 17089 ns/op 18816 B/op 66 allocs/op BenchmarkTop100of10000Scores-4 3000 528193 ns/op 19744 B/op 117 allocs/op BenchmarkTop1000of10000Scores-4 1000 1859447 ns/op 184752 B/op 1017 allocs/op BenchmarkTop10000of100000Scores-4 50 28005664 ns/op 1939576 B/op 19024 allocs/op BenchmarkTop10of100000Scores-4 300 4120091 ns/op 2560 B/op 27 allocs/op BenchmarkTop100of100000Scores-4 300 4325227 ns/op 19896 B/op 117 allocs/op BenchmarkTop1000of100000Scores-4 200 6799804 ns/op 186184 B/op 1017 allocs/op BenchmarkTop10000of1000000Scores-4 20 88494230 ns/op 1963881 B/op 19024 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 30.198s Previously with slice: go test -run=xxx -bench=. -benchmem BenchmarkTop10of0Scores-4 1000000 1202 ns/op 2288 B/op 15 allocs/op BenchmarkTop10of3Scores-4 1000000 1453 ns/op 2288 B/op 18 allocs/op BenchmarkTop10of10Scores-4 1000000 2162 ns/op 2296 B/op 25 allocs/op BenchmarkTop10of25Scores-4 500000 3420 ns/op 2448 B/op 26 allocs/op BenchmarkTop10of50Scores-4 300000 5336 ns/op 2448 B/op 26 allocs/op BenchmarkTop10of10000Scores-4 5000 356733 ns/op 2472 B/op 26 allocs/op BenchmarkTop100of0Scores-4 300000 4877 ns/op 18304 B/op 15 allocs/op BenchmarkTop100of3Scores-4 300000 5132 ns/op 18304 B/op 18 allocs/op BenchmarkTop100of10Scores-4 200000 5787 ns/op 18312 B/op 25 allocs/op BenchmarkTop100of25Scores-4 200000 8083 ns/op 18344 B/op 40 allocs/op BenchmarkTop100of50Scores-4 100000 14419 ns/op 18400 B/op 65 allocs/op BenchmarkTop100of10000Scores-4 2000 665401 ns/op 18848 B/op 116 allocs/op BenchmarkTop1000of10000Scores-4 100 15417063 ns/op 176560 B/op 1016 allocs/op BenchmarkTop10000of100000Scores-4 1 1860011022 ns/op 1857960 B/op 19023 allocs/op BenchmarkTop10of100000Scores-4 300 4099276 ns/op 2480 B/op 26 allocs/op BenchmarkTop100of100000Scores-4 300 4533645 ns/op 18984 B/op 116 allocs/op BenchmarkTop1000of100000Scores-4 50 30519235 ns/op 178008 B/op 1016 allocs/op BenchmarkTop10000of1000000Scores-4 1 3483977385 ns/op 1882072 B/op 19023 allocs/op PASS ok github.com/blevesearch/bleve/search/collector 31.666s It appears that this sucessfully gets the best of both, in these particular benchmark sizes.
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removed := hc.store.AddNotExceedingSize(d, hc.size+hc.skip)
if removed != nil {
if hc.lowestMatchOutsideResults == nil {
hc.lowestMatchOutsideResults = removed
} else {
cmp := hc.sort.Compare(hc.cachedScoring, hc.cachedDesc, removed, hc.lowestMatchOutsideResults)
if cmp < 0 {
tmp := hc.lowestMatchOutsideResults
hc.lowestMatchOutsideResults = removed
ctx.DocumentMatchPool.Put(tmp)
}
}
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}
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return nil
}
// visitFieldTerms is responsible for visiting the field terms of the
// search hit, and passing visited terms to the sort and facet builder
func (hc *TopNCollector) visitFieldTerms(reader index.IndexReader, d *search.DocumentMatch) error {
if hc.facetsBuilder != nil {
hc.facetsBuilder.StartDoc()
}
err := reader.DocumentVisitFieldTerms(d.IndexInternalID, hc.neededFields, func(field string, term []byte) {
if hc.facetsBuilder != nil {
hc.facetsBuilder.UpdateVisitor(field, term)
}
hc.sort.UpdateVisitor(field, term)
})
if hc.facetsBuilder != nil {
hc.facetsBuilder.EndDoc()
}
return err
}
// SetFacetsBuilder registers a facet builder for this collector
func (hc *TopNCollector) SetFacetsBuilder(facetsBuilder *search.FacetsBuilder) {
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hc.facetsBuilder = facetsBuilder
hc.neededFields = append(hc.neededFields, hc.facetsBuilder.RequiredFields()...)
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}
// finalizeResults starts with the heap containing the final top size+skip
// it now throws away the results to be skipped
// and does final doc id lookup (if necessary)
func (hc *TopNCollector) finalizeResults(r index.IndexReader) error {
var err error
hc.results, err = hc.store.Final(hc.skip, func(doc *search.DocumentMatch) error {
if doc.ID == "" {
// look up the id since we need it for lookup
var err error
doc.ID, err = r.ExternalID(doc.IndexInternalID)
if err != nil {
return err
}
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}
return nil
})
return err
}
// Results returns the collected hits
func (hc *TopNCollector) Results() search.DocumentMatchCollection {
return hc.results
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}
// Total returns the total number of hits
func (hc *TopNCollector) Total() uint64 {
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return hc.total
}
// MaxScore returns the maximum score seen across all the hits
func (hc *TopNCollector) MaxScore() float64 {
return hc.maxScore
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}
// Took returns the time spent collecting hits
func (hc *TopNCollector) Took() time.Duration {
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return hc.took
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}
// FacetResults returns the computed facets results
func (hc *TopNCollector) FacetResults() search.FacetResults {
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if hc.facetsBuilder != nil {
return hc.facetsBuilder.Results()
}
return search.FacetResults{}
}