Commit 1e257aa
perf: omit postings-count read for fuzzy/regexp candidate collection
Fuzzy and regexp candidate collection iterate the field dictionary via the
levenshtein/regexp automaton and use only the term and edit distance —
DictEntry.Count is discarded. The segment iterator nonetheless read each
visited term's postings list to compute that count.
Add a termDictionaryOmitCount optional interface (AutomatonIteratorOmitCount)
and use it from the fuzzy and regexp field-dict constructors so the count
(and its per-term postings read) is skipped. This is opt-in per call site:
FieldDict / FieldDictPrefix / FieldDictRange still populate counts, since
faceting and public dictionary APIs rely on them.
The wiring uses a type assertion, so it degrades gracefully: with a zapx
that predates AutomatonIteratorOmitCount it falls back to the count-reading
path (TestFieldDictFuzzyAutomatonOmitsCount, added here, skips in that case).
The optimization activates once the zapx/v17 dependency is bumped to a
release that includes the omit-count iterator.
Benchmark (BenchmarkFuzzyCandidateCollection from the previous commit; scorch
index, 1000 terms / 3000 docs, fuzziness-2 query matching 280 candidates),
parent vs this commit, Apple M4 Pro, count=12 via benchstat:
sec/op 135.5µ -> 122.4µ -9.7% (p=0.000)
B/op 667.1Ki -> 659.9Ki -1.1% (p=0.000)
allocs/op 975 -> 691 -29.1% (p=0.000)
Combined with the previous commit: -15.0% sec/op, -30.1% allocs/op vs the
original candidate-collection path.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>1 parent c29f000 commit 1e257aa
3 files changed
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