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.
This commit is contained in:
parent
17e21be71a
commit
a4a34cc3b2
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@ -34,11 +34,20 @@ func newStoreHeap(cap int, compare collectorCompare) *collectStoreHeap {
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return rv
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}
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func (c *collectStoreHeap) Add(doc *search.DocumentMatch) {
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func (c *collectStoreHeap) AddNotExceedingSize(doc *search.DocumentMatch,
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size int) *search.DocumentMatch {
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c.add(doc)
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if c.Len() > size {
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return c.removeLast()
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}
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return nil
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}
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func (c *collectStoreHeap) add(doc *search.DocumentMatch) {
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heap.Push(c, doc)
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}
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func (c *collectStoreHeap) RemoveLast() *search.DocumentMatch {
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func (c *collectStoreHeap) removeLast() *search.DocumentMatch {
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return heap.Pop(c).(*search.DocumentMatch)
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}
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@ -34,7 +34,16 @@ func newStoreList(cap int, compare collectorCompare) *collectStoreList {
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return rv
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}
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func (c *collectStoreList) Add(doc *search.DocumentMatch) {
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func (c *collectStoreList) AddNotExceedingSize(doc *search.DocumentMatch,
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size int) *search.DocumentMatch {
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c.add(doc)
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if c.len() > size {
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return c.removeLast()
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}
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return nil
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}
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func (c *collectStoreList) add(doc *search.DocumentMatch) {
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for e := c.results.Front(); e != nil; e = e.Next() {
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curr := e.Value.(*search.DocumentMatch)
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if c.compare(doc, curr) >= 0 {
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@ -46,7 +55,7 @@ func (c *collectStoreList) Add(doc *search.DocumentMatch) {
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c.results.PushBack(doc)
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}
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func (c *collectStoreList) RemoveLast() *search.DocumentMatch {
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func (c *collectStoreList) removeLast() *search.DocumentMatch {
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return c.results.Remove(c.results.Front()).(*search.DocumentMatch)
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}
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@ -73,6 +82,6 @@ func (c *collectStoreList) Final(skip int, fixup collectorFixup) (search.Documen
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return search.DocumentMatchCollection{}, nil
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}
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func (c *collectStoreList) Len() int {
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func (c *collectStoreList) len() int {
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return c.results.Len()
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}
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@ -29,7 +29,16 @@ func newStoreSlice(cap int, compare collectorCompare) *collectStoreSlice {
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return rv
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}
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func (c *collectStoreSlice) Add(doc *search.DocumentMatch) {
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func (c *collectStoreSlice) AddNotExceedingSize(doc *search.DocumentMatch,
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size int) *search.DocumentMatch {
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c.add(doc)
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if c.len() > size {
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return c.removeLast()
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}
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return nil
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}
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func (c *collectStoreSlice) add(doc *search.DocumentMatch) {
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// find where to insert, starting at end (lowest)
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i := len(c.slice)
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for ; i > 0; i-- {
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@ -44,7 +53,7 @@ func (c *collectStoreSlice) Add(doc *search.DocumentMatch) {
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c.slice[i] = doc
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}
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func (c *collectStoreSlice) RemoveLast() *search.DocumentMatch {
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func (c *collectStoreSlice) removeLast() *search.DocumentMatch {
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var rv *search.DocumentMatch
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rv, c.slice = c.slice[len(c.slice)-1], c.slice[:len(c.slice)-1]
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return rv
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@ -63,6 +72,6 @@ func (c *collectStoreSlice) Final(skip int, fixup collectorFixup) (search.Docume
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return search.DocumentMatchCollection{}, nil
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}
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func (c *collectStoreSlice) Len() int {
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func (c *collectStoreSlice) len() int {
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return len(c.slice)
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}
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@ -22,6 +22,15 @@ import (
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"golang.org/x/net/context"
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)
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type collectorStore interface {
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// Add the document, and if the new store size exceeds the provided size
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// the last element is removed and returned. If the size has not been
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// exceeded, nil is returned.
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AddNotExceedingSize(doc *search.DocumentMatch, size int) *search.DocumentMatch
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Final(skip int, fixup collectorFixup) (search.DocumentMatchCollection, error)
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}
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// PreAllocSizeSkipCap will cap preallocation to this amount when
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// size+skip exceeds this value
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var PreAllocSizeSkipCap = 1000
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@ -41,7 +50,7 @@ type TopNCollector struct {
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results search.DocumentMatchCollection
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facetsBuilder *search.FacetsBuilder
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store *collectStoreHeap
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store collectorStore
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needDocIds bool
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neededFields []string
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@ -68,9 +77,15 @@ func NewTopNCollector(size int, skip int, sort search.SortOrder) *TopNCollector
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backingSize = PreAllocSizeSkipCap + 1
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}
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hc.store = newStoreHeap(backingSize, func(i, j *search.DocumentMatch) int {
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return hc.sort.Compare(hc.cachedScoring, hc.cachedDesc, i, j)
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})
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if size+skip > 10 {
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hc.store = newStoreHeap(backingSize, func(i, j *search.DocumentMatch) int {
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return hc.sort.Compare(hc.cachedScoring, hc.cachedDesc, i, j)
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})
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} else {
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hc.store = newStoreSlice(backingSize, func(i, j *search.DocumentMatch) int {
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return hc.sort.Compare(hc.cachedScoring, hc.cachedDesc, i, j)
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})
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}
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// these lookups traverse an interface, so do once up-front
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if sort.RequiresDocID() {
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@ -184,9 +199,8 @@ func (hc *TopNCollector) collectSingle(ctx *search.SearchContext, reader index.I
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}
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}
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hc.store.Add(d)
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if hc.store.Len() > hc.size+hc.skip {
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removed := hc.store.RemoveLast()
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removed := hc.store.AddNotExceedingSize(d, hc.size+hc.skip)
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if removed != nil {
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if hc.lowestMatchOutsideResults == nil {
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hc.lowestMatchOutsideResults = removed
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} else {
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