Scoring: BM25STD scoring for prefix, suffix and fuzzy queries - #1350
Scoring: BM25STD scoring for prefix, suffix and fuzzy queries#1350boda26 wants to merge 8 commits into
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Included review availability: Your plan provides up to 2 included reviews per hour; 0 remain after this review. 📝 WalkthroughWalkthroughThe change adds BM25 scoring for prefix, suffix, fuzzy, and tag-prefix expansions. It carries per-term document frequencies, applies field-scoped lookups, resolves tag-prefix counts, and adds unit and integration coverage. ChangesExpansion scoring
Sequence Diagram(s)sequenceDiagram
participant Query
participant ResolveLeaves
participant ExpansionIndex
participant ScoreNode
Query->>ResolveLeaves: resolve text or tag-prefix expansion
ResolveLeaves->>ExpansionIndex: collect matching terms and document counts
ExpansionIndex-->>ResolveLeaves: return expansion data
ResolveLeaves->>ScoreNode: pass field-scoped expansion terms
ScoreNode-->>Query: return one matched BM25 contribution
Suggested reviewers: Priority: ⬆️ High Merge Risk: ⚪ Minimal · up to This change enables BM25 scoring for supported text expansions and tag-prefix queries. No concrete merge-blocking behavior or production impact is currently identified. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Inline comments:
In `@src/query/search.cc`:
- Around line 873-875: Update the tag-prefix handling in the query parsing flow
to normalize each prefix and deduplicate it with the existing seen-tracking
mechanism before appending to leaf.tag_prefixes. Preserve case-insensitive
behavior so equivalent spellings such as red* and RED* are scored only once,
matching exact tag-value handling.
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integration/test_scoring.pysrc/indexes/tag.ccsrc/indexes/tag.hsrc/indexes/text.ccsrc/indexes/text/fuzzy.hsrc/indexes/text/term.ccsrc/indexes/text/term.hsrc/query/predicate.ccsrc/query/search.cctesting/search_test.cc
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zackcam
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Looks mostly good to me, just a question on:
Line 874 records every prefix spelling without using seen. On a case-insensitive index, @cat:{red*|RED*} scores each matching value twice. Normalize and deduplicate prefix values before appending them to leaf.tag_prefixes, as exact tag values already do.
I think the AI is correct
Signed-off-by: Miles Song <bodasong@amazon.com>
Signed-off-by: Miles Song <bodasong@amazon.com>
Signed-off-by: Miles Song <bodasong@amazon.com>
Signed-off-by: Miles Song <bodasong@amazon.com>
…ify tag prefix matching Signed-off-by: Miles Song <bodasong@amazon.com>
…r both term and expansion Signed-off-by: Miles Song <bodasong@amazon.com>
Signed-off-by: Miles Song <bodasong@amazon.com>
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Inline comments:
In `@src/indexes/text.cc`:
- Line 255: Update PrefixPredicate::BuildTextIterator at
src/indexes/text.cc:255-255, SuffixPredicate::BuildTextIterator at
src/indexes/text.cc:286-286, and FuzzyPredicate::BuildTextIterator at
src/indexes/text.cc:308-308 to pass GetWeight() multiplied by
or_weight_multiplier to TermIterator, matching TermPredicate::BuildTextIterator
and preserving OR-group weighting.
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integration/test_scoring.pysrc/indexes/text.ccsrc/indexes/text/term.ccsrc/query/search.cctesting/search_test.cc
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Hi @boda26 👋 — flagging this as a P1 launch blocker for valkey-search 1.3 RC1. We're cutting the release branch the morning of Sept 14 (RC1 lands Sept 15), so all P1s need to be merged before then. First-pass reviewer: @neerajr0 — if your first-pass review is already done, please ignore this message; otherwise, please prioritize getting this PR reviewed. Second-pass reviewer: @allenss-amazon — please take a look/followup with the final review and merge once everything looks good. If anything is blocking merge (open changes, CI, design questions), drop a note here so we can unblock quickly. Board: #1346. Thanks so much! 🙏 |
Signed-off-by: Miles Song <bodasong@amazon.com>
Overview
Previously, term-expansion queries were not scored — prefix (
cat*), suffix(
*ing), fuzzy (%cat%), and tag prefix (@cat:{re*}) all contributed0to adocument's BM25STD score. This PR makes them produce real BM25STD scores on both
the in-iterator path (pure-text queries) and the extra-step path (combined
text + numeric/tag/negate queries), for text prefix/suffix/fuzzy and for
tag prefix.
Core contract
An expansion is scored on exactly one matched term/value's BM25 (its own IDF
single-representative behavior (
docs/redis_prefix_suffix_fuzzy_scoring.md).Which term wins is an unspecified, corpus-dependent union artifact, so the two
code paths may pick different representatives on a doc matching several terms;
both honor the one-term invariant. An explicit tag union (
{red|blue}) stillsums its members — only expansions pick one.
Changes by file
Text expansion scoring — in-iterator path
src/indexes/text/term.cc/term.h—TermIteratorgains aper_term_dtarg; in expansion mode it precomputes
per_term_idf_(one IDF per matchedterm) and
GetScore()contributes a single matched term's BM25 instead of thesummed-F exact/stem behavior.
src/indexes/text.cc—Prefix/Suffix/FuzzyBuildTextIteratorcollecteach matched term's document frequency (
GetKeyCount()) intoper_term_dt.src/indexes/text/fuzzy.h—FuzzySearch::Searchnow returns anExpansionstruct (
key_iterators+per_term_dt+postings).src/query/predicate.cc—FuzzyPredicate::Evaluateadapted to the newExpansionAPI.Text expansion scoring — extra-step path (combined queries)
src/query/search.cc—ResolvedLeafgainsexpansion_terms(posting listResolveLeavesdynamic_castsPrefix/Suffix/Fuzzy predicates and resolves their expansion terms;
ScoreNodecontributes the first expansion term whose posting contains the key. Fixes
combined queries like
cat* @rank:[0 100]that previously scored expansions 0.Tag prefix scoring
src/indexes/tag.h/tag.cc— newTag::GetPrefixMatchedValues(prefix):walks the rax subtree (mirroring
Tag::Search's prefix branch) and returns eachmatched value + its document count. The exact
GetTagValueDocCountprimitivestays exact — prefix values are no longer passed to it.
src/query/search.cc—ResolvedLeafgainstag_prefix_groups(one groupper
foo*query value, holding each expansion value's IDF).ResolveLeaves(kTag) routes
*-suffixed values toGetPrefixMatchedValues; exact values keepthe existing summed path.
ScoreNode(kTag) credits one matched value perprefix group, summed alongside exact values and other union members. F ≡ 1, as
for exact tag values.
Not implemented (no scoring)
@cat:{*llo},@cat:{*ll*}) — tag suffix/infixmatching itself is unimplemented (
tag.ccTODOb/357027854; no suffix triefor tags), so there is nothing to score. When that matching lands, such patterns
will fall through to the exact
GetTagValueDocCountbranch and score 0 until theexpansion routing here is extended.
@cat:{%hello%}) — not supported by Redis either (syntax erroron a tag field), so there is nothing to implement.
*cat*) —InfixPredicate::BuildTextIterator/EvaluatestillCHECK(false), so infix queries abort before scoring.Tests
testing/search_test.cc— in-iterator + extra-step tests for textprefix/suffix/fuzzy (single-match == exact term; multi-match == one term,
<sum), plus 3 tag-prefix tests (
TagPrefixSingleMatchEqualsExactValue,TagPrefixMultiMatchScoresOneValueNotSum,TagPrefixInCombinedQueryScored).integration/test_scoring.py—INDEX_PSF(text) andINDEX_TPX(tag) withWITHSUFFIXTRIEonidxMix. Group 15 covers text prefix/suffix/fuzzy; Group 16covers tag prefix (single-match == exact value; multi-match == one value and
<the union
{redis|redcap}; combined with numeric still scored). Tests assertself-consistent relationships against the suite's own exact scores rather than
pinning Redis numbers on multi-match docs (the representative pick can diverge).
Notes
total_docsto stay consistent withthe transiently-out-of-sync counters (same pattern as
ResolveLeaves).kContainsTag, so tag prefix scoring flows through theextra-step
ScoreTextQuery→ScoreNodepath (verified), same as combinedqueries.