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indexdata.go
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indexdata.go
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// Copyright 2016 Google Inc. All rights reserved.
//
// 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 zoekt
import (
"encoding/binary"
"errors"
"fmt"
"hash/crc64"
"log"
"math/bits"
"slices"
"unicode/utf8"
"github.com/sourcegraph/zoekt/query"
)
// indexData holds the pattern-independent data that we have to have
// in memory to search. Most of the memory is taken up by the ngram =>
// offset index.
type indexData struct {
symbols symbolData
file IndexFile
contentNgrams btreeIndex
newlinesStart uint32
newlinesIndex []uint32
docSectionsStart uint32
docSectionsIndex []uint32
runeDocSections []DocumentSection
// rune offset=>byte offset mapping, relative to the start of the content corpus
runeOffsets runeOffsetMap
// offsets of file contents; includes end of last file
boundariesStart uint32
boundaries []uint32
// rune offsets for the file content boundaries
fileEndRunes []uint32
fileNameContent []byte
fileNameIndex []uint32
fileNameNgrams btreeIndex
// fileEndSymbol[i] is the index of the first symbol for document i.
fileEndSymbol []uint32
// rune offset=>byte offset mapping, relative to the start of the filename corpus
fileNameRuneOffsets runeOffsetMap
// rune offsets for the file name boundaries
fileNameEndRunes []uint32
fileBranchMasks []uint64
// mask (power of 2) => name
branchNames []map[uint]string
// name => mask (power of 2)
branchIDs []map[string]uint
metaData IndexMetadata
repoMetaData []Repository
subRepos []uint32
subRepoPaths [][]string
// Checksums for all the files, at 8-byte intervals
checksums []byte
// languages for all the files.
languages []byte
// inverse of LanguageMap in metaData
languageMap map[uint16]string
repoListEntry []RepoListEntry
// repository indexes for all the files
repos []uint16
// Experimental: docID => rank vec
ranks [][]float64
// rawConfigMasks contains the encoded RawConfig for each repository
rawConfigMasks []uint8
}
type symbolData struct {
// symContent stores Symbol.Sym and Symbol.Parent.
// TODO we don't need to store Symbol.Sym.
symContent []byte
symIndex []byte
// symKindContent is an enum of sym.Kind and sym.ParentKind
symKindContent []byte
symKindIndex []uint32
// symMetadata is [4]uint32 0 Kind Parent ParentKind
symMetaData []byte
}
func uint32SliceAt(a []byte, n uint32) uint32 {
return binary.BigEndian.Uint32(a[n*4:])
}
func uint32SliceLen(a []byte) uint32 {
return uint32(len(a) / 4)
}
// parent returns index i of the parent enum
func (d *symbolData) parent(i uint32) []byte {
delta := uint32SliceAt(d.symIndex, 0)
start := uint32SliceAt(d.symIndex, i) - delta
var end uint32
if i+1 == uint32SliceLen(d.symIndex) {
end = uint32(len(d.symContent))
} else {
end = uint32SliceAt(d.symIndex, i+1) - delta
}
return d.symContent[start:end]
}
// kind returns index i of the kind enum
func (d *symbolData) kind(i uint32) []byte {
return d.symKindContent[d.symKindIndex[i]:d.symKindIndex[i+1]]
}
// data returns the symbol at index i
func (d *symbolData) data(i uint32) *Symbol {
size := uint32(4 * 4) // 4 uint32s
offset := i * size
if offset >= uint32(len(d.symMetaData)) {
return nil
}
metadata := d.symMetaData[offset : offset+size]
sym := &Symbol{}
key := uint32SliceAt(metadata, 1)
sym.Kind = string(d.kind(key))
key = uint32SliceAt(metadata, 2)
sym.Parent = string(d.parent(key))
key = uint32SliceAt(metadata, 3)
sym.ParentKind = string(d.kind(key))
return sym
}
func (d *indexData) getChecksum(idx uint32) []byte {
start := crc64.Size * idx
return d.checksums[start : start+crc64.Size]
}
func (d *indexData) getLanguage(idx uint32) uint16 {
if d.metaData.IndexFeatureVersion < 12 {
// older zoekt files had 8-bit language entries
return uint16(d.languages[idx])
}
// newer zoekt files have 16-bit language entries
return uint16(d.languages[idx*2]) | uint16(d.languages[idx*2+1])<<8
}
// calculates stats for files in the range [start, end).
func (d *indexData) calculateStatsForFileRange(start, end uint32) RepoStats {
if start >= end {
// An empty shard for an empty repository.
return RepoStats{
Shards: 1,
}
}
bytesContent := d.boundaries[end] - d.boundaries[start]
bytesFN := d.fileNameIndex[end] - d.fileNameIndex[start]
count, defaultCount, otherCount := d.calculateNewLinesStats(start, end)
// CR keegan for stefan: I think we may want to restructure RepoListEntry so
// that we don't change anything, except we have
// []Repository. Alternatively, things we can divide up we do (like
// here). Right now I don't like that these numbers are not true, especially
// after aggregation. For now I will move forward with this until we can
// chat more.
return RepoStats{
ContentBytes: int64(bytesContent) + int64(bytesFN),
Documents: int(end - start),
// CR keegan for stefan: our shard count is going to go out of whack,
// since we will aggregate these. So we will report more shards than are
// present on disk. What should we do?
Shards: 1,
// Sourcegraph specific
NewLinesCount: count,
DefaultBranchNewLinesCount: defaultCount,
OtherBranchesNewLinesCount: otherCount,
}
}
func (d *indexData) calculateStats() error {
d.repoListEntry = make([]RepoListEntry, 0, len(d.repoMetaData))
var start, end uint32
for repoID, md := range d.repoMetaData {
// determine the file range for repo i
for end < uint32(len(d.repos)) && d.repos[end] == uint16(repoID) {
end++
}
if start < end && d.repos[start] != uint16(repoID) {
return fmt.Errorf("shard documents out of order with respect to repositories: expected document %d to be part of repo %d", start, repoID)
}
d.repoListEntry = append(d.repoListEntry, RepoListEntry{
Repository: md,
IndexMetadata: d.metaData,
Stats: d.calculateStatsForFileRange(start, end),
})
start = end
}
// All repos in a compound shard share memoryUse. So we average out the
// memoryUse per shard in our reporting. This has the benefit that when you
// aggregate the IndexBytes you get back the actual memoryUse.
//
// TODO take into account tombstones for aggregation. Even better, adjust
// API to be shard centric not repo centric.
if len(d.repoListEntry) > 0 {
indexBytes := d.memoryUse()
indexBytesChunk := indexBytes / len(d.repoListEntry)
for i := range d.repoListEntry {
d.repoListEntry[i].Stats.IndexBytes = int64(indexBytesChunk)
indexBytes -= indexBytesChunk
}
d.repoListEntry[0].Stats.IndexBytes += int64(indexBytes)
}
return nil
}
// calculateNewLinesStats computes some Sourcegraph specific statistics for files
// in the range [start, end). These are not as efficient to calculate as the
// normal statistics. We experimentally measured about a 10% slower shard load
// time. However, we find these values very useful to track and computing them
// outside of load time introduces a lot of complexity.
func (d *indexData) calculateNewLinesStats(start, end uint32) (count, defaultCount, otherCount uint64) {
for i := start; i < end; i++ {
// branchMask is a bitmask of the branches for a document. Zoekt by
// convention represents the default branch as the lowest bit.
branchMask := d.fileBranchMasks[i]
isDefault := (branchMask & 1) == 1
others := uint64(bits.OnesCount64(branchMask >> 1))
// this is readNewlines but only reading the size of each section which
// corresponds to the number of newlines.
sec := simpleSection{
off: d.newlinesStart + d.newlinesIndex[i],
sz: d.newlinesIndex[i+1] - d.newlinesIndex[i],
}
// We are only reading the first varint which is the size. So we don't
// need to read more than MaxVarintLen64 bytes.
if sec.sz > binary.MaxVarintLen64 {
sec.sz = binary.MaxVarintLen64
}
blob, err := d.readSectionBlob(sec)
if err != nil {
log.Printf("error reading newline index for document %d on shard %s: %v", i, d.file.Name(), err)
continue
}
sz, _ := binary.Uvarint(blob)
count += sz
if isDefault {
defaultCount += sz
}
otherCount += (others * sz)
}
return
}
func (d *indexData) String() string {
return fmt.Sprintf("shard(%s)", d.file.Name())
}
// calculates an approximate size of indexData in memory in bytes.
func (d *indexData) memoryUse() int {
sz := 0
for _, a := range [][]uint32{
d.newlinesIndex, d.docSectionsIndex,
d.boundaries, d.fileNameIndex,
d.fileEndRunes, d.fileNameEndRunes,
d.fileEndSymbol, d.symbols.symKindIndex,
d.subRepos,
} {
sz += 4 * len(a)
}
sz += d.runeOffsets.sizeBytes()
sz += d.fileNameRuneOffsets.sizeBytes()
sz += len(d.languages)
sz += len(d.checksums)
sz += 2 * len(d.repos)
if len(d.ranks) > 0 {
sz += 8 * len(d.ranks) * len(d.ranks[0])
}
sz += 8 * len(d.runeDocSections)
sz += 8 * len(d.fileBranchMasks)
sz += d.contentNgrams.SizeBytes()
sz += d.fileNameNgrams.SizeBytes()
return sz
}
// findSelectiveNgrams returns two ngrams to pass to the distance iterator, chosen to
// produce a small file intersection. It finds the two lowest frequency ngrams, but avoids
// overlapping trigrams to keep their intersection as small as possible.
//
// Invariant: first will always have a smaller index than last.
func findSelectiveNgrams(ngramOffs []runeNgramOff, indexMap []int, frequencies []uint32) (first, last runeNgramOff) {
first, last = minFrequencyNgramOffsets(ngramOffs, frequencies)
// If the trigrams are overlapping, then try to shift one to reduce overlap.
// This is guaranteed to produce a smaller intersection.
if last.index-first.index < ngramSize {
newFirstIndex := max(last.index-ngramSize, 0)
if newFirstIndex != first.index {
first = ngramOffs[indexMap[newFirstIndex]]
}
newLastIndex := min(first.index+ngramSize, len(ngramOffs)-1)
if newLastIndex != last.index {
last = ngramOffs[indexMap[newLastIndex]]
}
}
return
}
const maxUInt32 = 0xffffffff
func minFrequencyNgramOffsets(ngramOffs []runeNgramOff, frequencies []uint32) (first, last runeNgramOff) {
// Find the two lowest frequency ngrams.
idx0, idx1 := 0, 0
min0, min1 := uint32(maxUInt32), uint32(maxUInt32)
for i, x := range frequencies {
if x <= min0 {
idx0, idx1 = i, idx0
min0, min1 = x, min0
} else if x <= min1 {
idx1 = i
min1 = x
}
}
first = ngramOffs[idx0]
last = ngramOffs[idx1]
// Ensure first appears before last as a helpful invariant.
if first.index > last.index {
last, first = first, last
}
return
}
func (data *indexData) ngrams(filename bool) btreeIndex {
if filename {
return data.fileNameNgrams
}
return data.contentNgrams
}
type ngramIterationResults struct {
matchIterator
caseSensitive bool
fileName bool
substrBytes []byte
substrLowered []byte
}
func (r *ngramIterationResults) String() string {
return fmt.Sprintf("wrapper(%v)", r.matchIterator)
}
func (r *ngramIterationResults) candidates() []*candidateMatch {
cs := r.matchIterator.candidates()
for _, c := range cs {
c.caseSensitive = r.caseSensitive
c.fileName = r.fileName
c.substrBytes = r.substrBytes
c.substrLowered = r.substrLowered
}
return cs
}
func (d *indexData) iterateNgrams(query *query.Substring) (*ngramIterationResults, error) {
str := query.Pattern
// Find the 2 least common ngrams from the string.
ngramOffs := splitNGrams([]byte(str))
// protect against accidental searching of empty strings
if len(ngramOffs) == 0 {
return nil, errors.New("iterateNgrams needs non empty string")
}
// PERF: Sort to increase the chances adjacent checks are in the same btree
// bucket (which can cause disk IO).
slices.SortFunc(ngramOffs, runeNgramOff.Compare)
frequencies := make([]uint32, 0, len(ngramOffs))
indexMap := make([]int, len(ngramOffs))
ngramLookups := 0
ngrams := d.ngrams(query.FileName)
for i, o := range ngramOffs {
var freq uint32
if query.CaseSensitive {
freq = ngrams.Get(o.ngram).sz
ngramLookups++
} else {
for _, v := range generateCaseNgrams(o.ngram) {
freq += ngrams.Get(v).sz
ngramLookups++
}
}
if freq == 0 {
return &ngramIterationResults{
matchIterator: &noMatchTree{
Why: "freq=0",
Stats: Stats{
NgramLookups: ngramLookups,
},
},
}, nil
}
frequencies = append(frequencies, freq)
indexMap[o.index] = i
}
first, last := findSelectiveNgrams(ngramOffs, indexMap, frequencies)
iter := &ngramDocIterator{
leftPad: uint32(first.index),
rightPad: uint32(utf8.RuneCountInString(str) - first.index),
ngramLookups: ngramLookups,
}
if query.FileName {
iter.ends = d.fileNameEndRunes
} else {
iter.ends = d.fileEndRunes
}
if first != last {
runeDist := uint32(last.index - first.index)
i, err := d.newDistanceTrigramIter(first.ngram, last.ngram, runeDist, query.CaseSensitive, query.FileName)
if err != nil {
return nil, err
}
iter.iter = i
} else {
hitIter, err := d.trigramHitIterator(last.ngram, query.CaseSensitive, query.FileName)
if err != nil {
return nil, err
}
iter.iter = hitIter
}
patBytes := []byte(query.Pattern)
lowerPatBytes := toLower(patBytes)
return &ngramIterationResults{
matchIterator: iter,
caseSensitive: query.CaseSensitive,
fileName: query.FileName,
substrBytes: patBytes,
substrLowered: lowerPatBytes,
}, nil
}
func (d *indexData) fileName(i uint32) []byte {
return d.fileNameContent[d.fileNameIndex[i]:d.fileNameIndex[i+1]]
}
func (d *indexData) numDocs() uint32 {
return uint32(len(d.fileBranchMasks))
}
func (s *indexData) Close() {
s.file.Close()
}
const (
rawConfigYes = 1
rawConfigNo = 2
)
// encodeRawConfig encodes a rawConfig map into a uint8 mask.
func encodeRawConfig(rawConfig map[string]string) uint8 {
var encoded uint8
for i, f := range []string{"public", "fork", "archived"} {
var e uint8
v, ok := rawConfig[f]
if ok && v == "1" {
e |= rawConfigYes
} else {
e |= rawConfigNo
}
encoded = encoded | e<<(2*i)
}
return encoded
}