fork of https://github.com/sourcegraph/zoekt
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Configure Feed

Select the types of activity you want to include in your feed.

1// Copyright 2016 Google Inc. All rights reserved. 2// 3// Licensed under the Apache License, Version 2.0 (the "License"); 4// you may not use this file except in compliance with the License. 5// You may obtain a copy of the License at 6// 7// http://www.apache.org/licenses/LICENSE-2.0 8// 9// Unless required by applicable law or agreed to in writing, software 10// distributed under the License is distributed on an "AS IS" BASIS, 11// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12// See the License for the specific language governing permissions and 13// limitations under the License. 14 15package index 16 17import ( 18 "encoding/binary" 19 "errors" 20 "fmt" 21 "hash/crc64" 22 "log" 23 "math" 24 "math/bits" 25 "slices" 26 "unicode/utf8" 27 28 "github.com/sourcegraph/zoekt" 29 "github.com/sourcegraph/zoekt/query" 30) 31 32// indexData holds the pattern-independent data that we have to have 33// in memory to search. Most of the memory is taken up by the ngram => 34// offset index. 35type indexData struct { 36 symbols symbolData 37 38 file IndexFile 39 40 contentNgrams btreeIndex 41 42 newlinesStart uint32 43 newlinesIndex []uint32 44 45 docSectionsStart uint32 46 docSectionsIndex []uint32 47 48 runeDocSections []DocumentSection 49 50 // rune offset=>byte offset mapping, relative to the start of the content corpus 51 runeOffsets runeOffsetMap 52 53 // offsets of file contents; includes end of last file 54 boundariesStart uint32 55 boundaries []uint32 56 57 // rune offsets for the file content boundaries 58 fileEndRunes []uint32 59 60 fileNameContent []byte 61 fileNameIndex []uint32 62 fileNameNgrams btreeIndex 63 64 // fileEndSymbol[i] is the index of the first symbol for document i. 65 fileEndSymbol []uint32 66 67 // rune offset=>byte offset mapping, relative to the start of the filename corpus 68 fileNameRuneOffsets runeOffsetMap 69 70 // rune offsets for the file name boundaries 71 fileNameEndRunes []uint32 72 73 fileBranchMasks []uint64 74 75 // mask (power of 2) => name 76 branchNames []map[uint]string 77 78 // name => mask (power of 2) 79 branchIDs []map[string]uint 80 81 metaData zoekt.IndexMetadata 82 repoMetaData []zoekt.Repository 83 84 subRepos []uint32 85 subRepoPaths [][]string 86 87 // Checksums for all the files, at 8-byte intervals 88 checksums []byte 89 90 // languages for all the files. 91 languages []byte 92 93 // inverse of LanguageMap in metaData 94 languageMap map[uint16]string 95 96 // file categories for all the files. 97 categories []byte 98 99 repoListEntry []zoekt.RepoListEntry 100 101 // repository indexes for all the files 102 repos []uint16 103 104 // rawConfigMasks contains the encoded RawConfig for each repository 105 rawConfigMasks []uint8 106} 107 108type symbolData struct { 109 // symContent stores Symbol.Sym and Symbol.Parent. 110 // TODO we don't need to store Symbol.Sym. 111 symContent []byte 112 symIndex []byte 113 // symKindContent is an enum of sym.Kind and sym.ParentKind 114 symKindContent []byte 115 symKindIndex []uint32 116 // symMetadata is [4]uint32 0 Kind Parent ParentKind 117 symMetaData []byte 118} 119 120func uint32SliceAt(a []byte, n uint32) uint32 { 121 return binary.BigEndian.Uint32(a[n*4:]) 122} 123 124func uint32SliceLen(a []byte) uint32 { 125 return uint32(len(a) / 4) 126} 127 128// parent returns index i of the parent enum 129func (d *symbolData) parent(i uint32) []byte { 130 delta := uint32SliceAt(d.symIndex, 0) 131 start := uint32SliceAt(d.symIndex, i) - delta 132 var end uint32 133 if i+1 == uint32SliceLen(d.symIndex) { 134 end = uint32(len(d.symContent)) 135 } else { 136 end = uint32SliceAt(d.symIndex, i+1) - delta 137 } 138 return d.symContent[start:end] 139} 140 141// kind returns index i of the kind enum 142func (d *symbolData) kind(i uint32) []byte { 143 return d.symKindContent[d.symKindIndex[i]:d.symKindIndex[i+1]] 144} 145 146// data returns the symbol at index i 147func (d *symbolData) data(i uint32) *zoekt.Symbol { 148 size := uint32(4 * 4) // 4 uint32s 149 offset := i * size 150 if offset >= uint32(len(d.symMetaData)) { 151 return nil 152 } 153 154 metadata := d.symMetaData[offset : offset+size] 155 sym := &zoekt.Symbol{} 156 key := uint32SliceAt(metadata, 1) 157 sym.Kind = string(d.kind(key)) 158 key = uint32SliceAt(metadata, 2) 159 sym.Parent = string(d.parent(key)) 160 key = uint32SliceAt(metadata, 3) 161 sym.ParentKind = string(d.kind(key)) 162 return sym 163} 164 165func (d *indexData) getChecksum(idx uint32) []byte { 166 start := crc64.Size * idx 167 return d.checksums[start : start+crc64.Size] 168} 169 170func (d *indexData) getLanguage(idx uint32) uint16 { 171 if d.metaData.IndexFeatureVersion < 12 { 172 // older zoekt files had 8-bit language entries 173 return uint16(d.languages[idx]) 174 } 175 // newer zoekt files have 16-bit language entries 176 return uint16(d.languages[idx*2]) | uint16(d.languages[idx*2+1])<<8 177} 178 179func (d *indexData) getCategory(idx uint32) FileCategory { 180 if len(d.categories) == 0 { 181 // This means we're reading an older index, so return 'missing' 182 return FileCategoryMissing 183 } 184 category, err := decodeCategory(d.categories[idx]) 185 if err != nil { 186 return FileCategoryMissing 187 } 188 return category 189} 190 191// calculates stats for files in the range [start, end). 192func (d *indexData) calculateStatsForFileRange(start, end uint32) zoekt.RepoStats { 193 if start >= end { 194 // An empty shard for an empty repository. 195 return zoekt.RepoStats{ 196 Shards: 1, 197 } 198 } 199 200 bytesContent := d.boundaries[end] - d.boundaries[start] 201 bytesFN := d.fileNameIndex[end] - d.fileNameIndex[start] 202 count, defaultCount, otherCount := d.calculateNewLinesStats(start, end) 203 204 // CR keegan for stefan: I think we may want to restructure RepoListEntry so 205 // that we don't change anything, except we have 206 // []Repository. Alternatively, things we can divide up we do (like 207 // here). Right now I don't like that these numbers are not true, especially 208 // after aggregation. For now I will move forward with this until we can 209 // chat more. 210 return zoekt.RepoStats{ 211 ContentBytes: int64(bytesContent) + int64(bytesFN), 212 Documents: int(end - start), 213 // CR keegan for stefan: our shard count is going to go out of whack, 214 // since we will aggregate these. So we will report more shards than are 215 // present on disk. What should we do? 216 Shards: 1, 217 218 // Sourcegraph specific 219 NewLinesCount: count, 220 DefaultBranchNewLinesCount: defaultCount, 221 OtherBranchesNewLinesCount: otherCount, 222 } 223} 224 225func (d *indexData) calculateStats() error { 226 d.repoListEntry = make([]zoekt.RepoListEntry, 0, len(d.repoMetaData)) 227 var start, end uint32 228 229 for repoID, md := range d.repoMetaData { 230 // determine the file range for repo i 231 for end < uint32(len(d.repos)) && d.repos[end] == uint16(repoID) { 232 end++ 233 } 234 if start < end && d.repos[start] != uint16(repoID) { 235 return fmt.Errorf("shard documents out of order with respect to repositories: expected document %d to be part of repo %d", start, repoID) 236 } 237 238 d.repoListEntry = append(d.repoListEntry, zoekt.RepoListEntry{ 239 Repository: md, 240 IndexMetadata: d.metaData, 241 Stats: d.calculateStatsForFileRange(start, end), 242 }) 243 start = end 244 } 245 246 // All repos in a compound shard share memoryUse. So we average out the 247 // memoryUse per shard in our reporting. This has the benefit that when you 248 // aggregate the IndexBytes you get back the actual memoryUse. 249 // 250 // TODO take into account tombstones for aggregation. Even better, adjust 251 // API to be shard centric not repo centric. 252 if len(d.repoListEntry) > 0 { 253 indexBytes := d.memoryUse() 254 indexBytesChunk := indexBytes / len(d.repoListEntry) 255 for i := range d.repoListEntry { 256 d.repoListEntry[i].Stats.IndexBytes = int64(indexBytesChunk) 257 indexBytes -= indexBytesChunk 258 } 259 d.repoListEntry[0].Stats.IndexBytes += int64(indexBytes) 260 } 261 262 return nil 263} 264 265// calculateNewLinesStats computes some Sourcegraph specific statistics for files 266// in the range [start, end). These are not as efficient to calculate as the 267// normal statistics. We experimentally measured about a 10% slower shard load 268// time. However, we find these values very useful to track and computing them 269// outside of load time introduces a lot of complexity. 270func (d *indexData) calculateNewLinesStats(start, end uint32) (count, defaultCount, otherCount uint64) { 271 for i := start; i < end; i++ { 272 // branchMask is a bitmask of the branches for a document. Zoekt by 273 // convention represents the default branch as the lowest bit. 274 branchMask := d.fileBranchMasks[i] 275 isDefault := (branchMask & 1) == 1 276 others := uint64(bits.OnesCount64(branchMask >> 1)) 277 278 // this is readNewlines but only reading the size of each section which 279 // corresponds to the number of newlines. 280 sec := simpleSection{ 281 off: d.newlinesStart + d.newlinesIndex[i], 282 sz: d.newlinesIndex[i+1] - d.newlinesIndex[i], 283 } 284 // We are only reading the first varint which is the size. So we don't 285 // need to read more than MaxVarintLen64 bytes. 286 if sec.sz > binary.MaxVarintLen64 { 287 sec.sz = binary.MaxVarintLen64 288 } 289 blob, err := d.readSectionBlob(sec) 290 if err != nil { 291 log.Printf("error reading newline index for document %d on shard %s: %v", i, d.file.Name(), err) 292 continue 293 } 294 sz, _ := binary.Uvarint(blob) 295 296 count += sz 297 if isDefault { 298 defaultCount += sz 299 } 300 otherCount += (others * sz) 301 } 302 303 return 304} 305 306func (d *indexData) String() string { 307 return fmt.Sprintf("shard(%s)", d.file.Name()) 308} 309 310// calculates an approximate size of indexData in memory in bytes. 311func (d *indexData) memoryUse() int { 312 sz := 0 313 for _, a := range [][]uint32{ 314 d.newlinesIndex, d.docSectionsIndex, 315 d.boundaries, d.fileNameIndex, 316 d.fileEndRunes, d.fileNameEndRunes, 317 d.fileEndSymbol, d.symbols.symKindIndex, 318 d.subRepos, 319 } { 320 sz += 4 * len(a) 321 } 322 sz += d.runeOffsets.sizeBytes() 323 sz += d.fileNameRuneOffsets.sizeBytes() 324 sz += len(d.languages) 325 sz += len(d.checksums) 326 sz += 2 * len(d.repos) 327 sz += 8 * len(d.runeDocSections) 328 sz += 8 * len(d.fileBranchMasks) 329 sz += d.contentNgrams.SizeBytes() 330 sz += d.fileNameNgrams.SizeBytes() 331 return sz 332} 333 334// findSelectiveNgrams returns two ngrams to pass to the distance iterator, chosen to 335// produce a small file intersection. It finds the two lowest frequency ngrams, but avoids 336// overlapping trigrams to keep their intersection as small as possible. 337// 338// Invariant: first will always have a smaller index than last. 339func findSelectiveNgrams(ngramOffs []runeNgramOff, indexMap []int, frequencies []uint32) (first, last runeNgramOff) { 340 first, last = minFrequencyNgramOffsets(ngramOffs, frequencies) 341 342 // If the trigrams are overlapping, then try to shift one to reduce overlap. 343 // This is guaranteed to produce a smaller intersection. 344 if last.index-first.index < ngramSize { 345 newFirstIndex := max(last.index-ngramSize, 0) 346 if newFirstIndex != first.index { 347 first = ngramOffs[indexMap[newFirstIndex]] 348 } 349 350 newLastIndex := min(first.index+ngramSize, len(ngramOffs)-1) 351 if newLastIndex != last.index { 352 last = ngramOffs[indexMap[newLastIndex]] 353 } 354 } 355 return 356} 357 358func minFrequencyNgramOffsets(ngramOffs []runeNgramOff, frequencies []uint32) (first, last runeNgramOff) { 359 // Find the two lowest frequency ngrams. 360 idx0, idx1 := 0, 0 361 min0, min1 := uint32(math.MaxUint32), uint32(math.MaxUint32) 362 for i, x := range frequencies { 363 if x <= min0 { 364 idx0, idx1 = i, idx0 365 min0, min1 = x, min0 366 } else if x <= min1 { 367 idx1 = i 368 min1 = x 369 } 370 } 371 372 first = ngramOffs[idx0] 373 last = ngramOffs[idx1] 374 375 // Ensure first appears before last as a helpful invariant. 376 if first.index > last.index { 377 last, first = first, last 378 } 379 return 380} 381 382func (data *indexData) ngrams(filename bool) btreeIndex { 383 if filename { 384 return data.fileNameNgrams 385 } 386 return data.contentNgrams 387} 388 389type ngramIterationResults struct { 390 matchIterator 391 392 caseSensitive bool 393 fileName bool 394 substrBytes []byte 395 substrLowered []byte 396} 397 398func (r *ngramIterationResults) String() string { 399 return fmt.Sprintf("wrapper(%v)", r.matchIterator) 400} 401 402func (r *ngramIterationResults) candidates() []*candidateMatch { 403 cs := r.matchIterator.candidates() 404 for _, c := range cs { 405 c.caseSensitive = r.caseSensitive 406 c.fileName = r.fileName 407 c.substrBytes = r.substrBytes 408 c.substrLowered = r.substrLowered 409 } 410 return cs 411} 412 413func (d *indexData) iterateNgrams(query *query.Substring) (*ngramIterationResults, error) { 414 str := query.Pattern 415 416 // Find the 2 least common ngrams from the string. 417 ngramOffs := splitNGrams([]byte(str)) 418 419 // protect against accidental searching of empty strings 420 if len(ngramOffs) == 0 { 421 return nil, errors.New("iterateNgrams needs non empty string") 422 } 423 424 // PERF: Sort to increase the chances adjacent checks are in the same btree 425 // bucket (which can cause disk IO). 426 slices.SortFunc(ngramOffs, runeNgramOff.Compare) 427 frequencies := make([]uint32, 0, len(ngramOffs)) 428 indexMap := make([]int, len(ngramOffs)) 429 ngramLookups := 0 430 ngrams := d.ngrams(query.FileName) 431 for i, o := range ngramOffs { 432 var freq uint32 433 if query.CaseSensitive { 434 freq = ngrams.Get(o.ngram).sz 435 ngramLookups++ 436 } else { 437 for _, v := range generateCaseNgrams(o.ngram) { 438 freq += ngrams.Get(v).sz 439 ngramLookups++ 440 } 441 } 442 443 if freq == 0 { 444 return &ngramIterationResults{ 445 matchIterator: &noMatchTree{ 446 Why: "freq=0", 447 Stats: zoekt.Stats{ 448 NgramLookups: ngramLookups, 449 }, 450 }, 451 }, nil 452 } 453 454 frequencies = append(frequencies, freq) 455 indexMap[o.index] = i 456 } 457 458 first, last := findSelectiveNgrams(ngramOffs, indexMap, frequencies) 459 460 iter := &ngramDocIterator{ 461 leftPad: uint32(first.index), 462 rightPad: uint32(utf8.RuneCountInString(str) - first.index), 463 ngramLookups: ngramLookups, 464 } 465 if query.FileName { 466 iter.ends = d.fileNameEndRunes 467 } else { 468 iter.ends = d.fileEndRunes 469 } 470 471 if first != last { 472 runeDist := uint32(last.index - first.index) 473 i, err := d.newDistanceTrigramIter(first.ngram, last.ngram, runeDist, query.CaseSensitive, query.FileName) 474 if err != nil { 475 return nil, err 476 } 477 478 iter.iter = i 479 } else { 480 hitIter, err := d.trigramHitIterator(last.ngram, query.CaseSensitive, query.FileName) 481 if err != nil { 482 return nil, err 483 } 484 iter.iter = hitIter 485 } 486 487 patBytes := []byte(query.Pattern) 488 lowerPatBytes := toLower(patBytes) 489 490 return &ngramIterationResults{ 491 matchIterator: iter, 492 caseSensitive: query.CaseSensitive, 493 fileName: query.FileName, 494 substrBytes: patBytes, 495 substrLowered: lowerPatBytes, 496 }, nil 497} 498 499func (d *indexData) fileName(i uint32) []byte { 500 return d.fileNameContent[d.fileNameIndex[i]:d.fileNameIndex[i+1]] 501} 502 503func (d *indexData) numDocs() uint32 { 504 return uint32(len(d.fileBranchMasks)) 505} 506 507func (s *indexData) Close() { 508 s.file.Close() 509} 510 511const ( 512 rawConfigYes = 1 513 rawConfigNo = 2 514) 515 516// encodeRawConfig encodes a rawConfig map into a uint8 mask. 517func encodeRawConfig(rawConfig map[string]string) uint8 { 518 var encoded uint8 519 for i, f := range []string{"public", "fork", "archived"} { 520 var e uint8 521 v, ok := rawConfig[f] 522 if ok && v == "1" { 523 e |= rawConfigYes 524 } else { 525 e |= rawConfigNo 526 } 527 encoded = encoded | e<<(2*i) 528 } 529 return encoded 530}