7e36109b3c
This API (unexported) will estimate the amount of memory needed to execute a search query over an index before the collector begins data collection. Sample estimates for certain queries: {Size: 10, BenchmarkUpsidedownSearchOverhead} ESTIMATE BENCHMEM TermQuery 4616 4796 MatchQuery 5210 5405 DisjunctionQuery (Match queries) 7700 8447 DisjunctionQuery (Term queries) 6514 6591 ConjunctionQuery (Match queries) 7524 8175 Nested disjunction query (disjunction of disjunctions) 10306 10708 …
158 lines
3.6 KiB
Go
158 lines
3.6 KiB
Go
// Copyright (c) 2014 Couchbase, Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package facet
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import (
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"reflect"
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"sort"
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"github.com/blevesearch/bleve/numeric"
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"github.com/blevesearch/bleve/search"
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"github.com/blevesearch/bleve/size"
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)
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var reflectStaticSizeNumericFacetBuilder int
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var reflectStaticSizenumericRange int
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func init() {
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var nfb NumericFacetBuilder
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reflectStaticSizeNumericFacetBuilder = int(reflect.TypeOf(nfb).Size())
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var nr numericRange
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reflectStaticSizenumericRange = int(reflect.TypeOf(nr).Size())
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}
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type numericRange struct {
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min *float64
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max *float64
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}
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type NumericFacetBuilder struct {
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size int
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field string
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termsCount map[string]int
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total int
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missing int
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ranges map[string]*numericRange
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sawValue bool
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}
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func NewNumericFacetBuilder(field string, size int) *NumericFacetBuilder {
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return &NumericFacetBuilder{
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size: size,
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field: field,
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termsCount: make(map[string]int),
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ranges: make(map[string]*numericRange, 0),
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}
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}
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func (fb *NumericFacetBuilder) Size() int {
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sizeInBytes := reflectStaticSizeNumericFacetBuilder + size.SizeOfPtr +
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len(fb.field)
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for k, _ := range fb.termsCount {
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sizeInBytes += size.SizeOfString + len(k) +
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size.SizeOfInt
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}
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for k, _ := range fb.ranges {
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sizeInBytes += size.SizeOfString + len(k) +
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size.SizeOfPtr + reflectStaticSizenumericRange
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}
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return sizeInBytes
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}
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func (fb *NumericFacetBuilder) AddRange(name string, min, max *float64) {
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r := numericRange{
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min: min,
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max: max,
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}
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fb.ranges[name] = &r
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}
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func (fb *NumericFacetBuilder) Field() string {
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return fb.field
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}
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func (fb *NumericFacetBuilder) UpdateVisitor(field string, term []byte) {
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if field == fb.field {
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fb.sawValue = true
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// only consider the values which are shifted 0
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prefixCoded := numeric.PrefixCoded(term)
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shift, err := prefixCoded.Shift()
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if err == nil && shift == 0 {
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i64, err := prefixCoded.Int64()
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if err == nil {
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f64 := numeric.Int64ToFloat64(i64)
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// look at each of the ranges for a match
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for rangeName, r := range fb.ranges {
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if (r.min == nil || f64 >= *r.min) && (r.max == nil || f64 < *r.max) {
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fb.termsCount[rangeName] = fb.termsCount[rangeName] + 1
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fb.total++
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}
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}
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}
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}
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}
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}
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func (fb *NumericFacetBuilder) StartDoc() {
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fb.sawValue = false
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}
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func (fb *NumericFacetBuilder) EndDoc() {
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if !fb.sawValue {
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fb.missing++
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}
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}
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func (fb *NumericFacetBuilder) Result() *search.FacetResult {
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rv := search.FacetResult{
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Field: fb.field,
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Total: fb.total,
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Missing: fb.missing,
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}
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rv.NumericRanges = make([]*search.NumericRangeFacet, 0, len(fb.termsCount))
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for term, count := range fb.termsCount {
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numericRange := fb.ranges[term]
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tf := &search.NumericRangeFacet{
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Name: term,
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Count: count,
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Min: numericRange.min,
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Max: numericRange.max,
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}
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rv.NumericRanges = append(rv.NumericRanges, tf)
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}
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sort.Sort(rv.NumericRanges)
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// we now have the list of the top N facets
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if fb.size < len(rv.NumericRanges) {
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rv.NumericRanges = rv.NumericRanges[:fb.size]
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}
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notOther := 0
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for _, nr := range rv.NumericRanges {
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notOther += nr.Count
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}
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rv.Other = fb.total - notOther
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return &rv
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}
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