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Functions: support local MATCH AGAINST Boolean expressions in release-8.5 - #11295
Backport local MATCH AGAINST from TiFlash #11111 so TiFlash on release-8.5 can evaluate Boolean full-text predicates pushed down by TiDB. The Tipb submodule points to 348fa94e54, the merge commit of Tipb #440.
Backport DAG decoding and evaluation for local MATCH AGAINST.
Use Unicode 17 token classification with Local MATCH protocol v2.
Route eligible STANDARD exact-term queries through collation keys.
Defer raw phrase tokenization until a filtered phrase matches and
reuse the raw tokens across clauses in the same document column.
Share built-in stopword lookup between STANDARD and NGRAM, adaptively cache
repeated short-token lookups, and skip long STANDARD tokens when
the collation guarantees they cannot match a built-in stopword.
Exact-term routing uses the block row count, effective query terms after analysis, and document tokens after analysis.
Rows in a block
Minimum query terms
Minimum tokens per document
128 or more
64
16
Fewer than 128
100
32
Check List
Passed 49 focused Local MATCH and collation unit tests with cached Debug build dependencies, including the block, term, and token boundaries.
Built Release binaries for the h124 comparisons and verified Local MATCH pushdown with TiDB 7b255e057f. Matching row IDs, MPP operators, predicate placement, and scan ranges agreed across the builds in each comparison. Plan checks ignored row estimates and statistics status.
40%–50% lower across seven STANDARD and NGRAM cases. The single-term control was +3.9%.
For 100 absent required terms on 1,000-token documents, P50 was 1,613.3 → 181.7 ms. The single-term control held at 148.1 ms.
100 → 64 query terms for blocks of at least 128 rows, 069b902965 → f4020aed9e
On 8,192-row scans, 33%–40% lower with about 5% unmatched rows and 86%–87% lower with all rows unmatched. The 128-row General CI first-token hit was +2.7%.
For that 128-row early hit, P50 was 18.44 → 18.18 ms and P95 was 20.64 → 20.95 ms.
256 → 128 rows for short documents, with a 100-term minimum
−41.4% on the 128-row required-term query that returned no matches.
P50 was 14.30 → 11.01 ms.
STANDARD stopword pruning, ddcae28611 → 702ae7030a
6.9%–8.7% lower with binary stopword collation and 16.2%–17.4% lower with General CI.
P50 fell in all four of those cases.
The benchmarks ran on an Intel Xeon Gold 6240 host using the same dedicated test cluster, TiDB build, and TiFlash proxy within each comparison. TiFlash used one query thread and the same four CPUs. CPU/query measures TiFlash process CPU time. SQL P50 measures end-to-end latency. The queries measured COUNT(*) and COALESCE(SUM(id), 0) over the MATCH predicate.
Full backport comparison with #11111 (776 SQL queries)
Compared #11111 merge commit 608fb566c3 with aa5dd2d0e2. TiFlash CPU/query fell 40%–50% across the seven STANDARD and NGRAM cases and 92%–93% for the two short-document exact-term cases. With 100 required terms absent from 1,000-token documents, SQL P50 went from 1613.3 ms to 181.7 ms. The single-term control used 3.9% more TiFlash CPU with SQL P50 at 148.1 ms in both builds.
Query
Stopword collation
TiFlash CPU/query, ms
SQL P50, ms
STANDARD prefix 3372*
utf8mb4_bin
166.2 → 94.2 (−43.3%)
149.4 → 84.9 (−43.2%)
STANDARD phrase "Bosch-337296"
utf8mb4_bin
324.8 → 180.5 (−44.4%)
283.8 → 153.1 (−46.0%)
STANDARD prefix 3372*
utf8mb4_general_ci
191.8 → 104.0 (−45.8%)
172.8 → 90.9 (−47.4%)
STANDARD phrase "Bosch-337296"
utf8mb4_general_ci
378.5 → 187.8 (−50.4%)
335.0 → 158.9 (−52.6%)
STANDARD prefix 3372*
utf8mb4_unicode_ci
228.5 → 137.5 (−39.8%)
201.7 → 122.4 (−39.3%)
NGRAM phrase "ernie.blick"
utf8mb4_bin
644.7 → 319.5 (−50.4%)
593.3 → 291.1 (−50.9%)
NGRAM phrase miss "zzzzz"
utf8mb4_bin
561.8 → 318.8 (−43.3%)
516.2 → 286.0 (−44.6%)
100 required terms, 1,000 tokens, all terms absent
Off
1740.5 → 194.0 (−88.9%)
1613.3 → 181.7 (−88.7%)
One required term, 1,000 tokens, absent
Off
162.3 → 168.5 (+3.9%)
148.1 → 148.1 (0.0%)
100 required terms, 16 tokens, 99 terms absent
Off
264.2 → 20.0 (−92.4%)
238.2 → 20.3 (−91.5%)
100 required terms, 31 tokens, 99 terms absent
Off
444.2 → 30.8 (−93.1%)
417.4 → 30.8 (−92.6%)
Four warmed rounds ran in A/B/B/A order for 776 timed queries. Each case ran 20 times per round, except the 100-term cases, which ran 10 times per round for 1,000-token documents and 12 times per round for short documents. Both builds returned the same complete matched row IDs. The MPP plans matched with estRows and statistics status excluded. The run resumed after a statistics-status change interrupted one round. Completed samples were retained.
The prefix and NGRAM cases used workspace_id = 1 on a 400,000-row synthetic corpus. The STANDARD phrase used workspace_id <= 2. Stopword collation is collation_server. Exact-term cases used utf8mb4_general_ci MATCH columns with stopwords disabled. The 1,000-token cases used id < 1000. Each short-document case scanned 8,192 rows and matched one of the 100 required terms in every row, so every row was rejected.
The candidate was linked from the ddcae28611 Release build with the Local MATCH implementation from aa5dd2d0e2. Its embedded build metadata reports ddcae28611.
Query-term threshold for large blocks (2,880 SQL queries)
Compared the 64-term threshold for blocks of at least 128 rows in f4020aed9e with the 100-term threshold in 069b902965 on h124. The benchmark used 64-term OR queries over 16-token documents in General CI and Unicode CI. Across both pairs, TiFlash CPU/query fell 33%–40% for 8,192-row scans with about 5% unmatched rows and 86%–87% when every row was unmatched.
For the 128-row General CI first-token hit, TiFlash CPU/query rose 2.7% in aggregate. SQL P50 moved from 18.44 to 18.18 ms and P95 from 20.64 to 20.95 ms. The 2,880 timed SQL queries returned identical matched row IDs and used equivalent MPP plans with the same actual scan counts. Function tests also verified the 127/128-row and 63/64-term routing boundaries.
Block-size threshold and 16-row control (3,840 and 3,200 SQL queries)
On h124, the initial 256-row threshold patch reduced TiFlash CPU/query by 93%–96% for 100 required terms over 16- and 31-token documents across three collations. Each document matched one term and was rejected. A separate 3,200-query rerun verified 16-row scans with matching results and MPP plans. For the 100-term early hit, SQL P50 was 16.59 → 16.74 ms and P95 was 18.67 → 18.70 ms.
The follow-up compared the 128- and 64-row thresholds with the 256-row threshold on h124. This comparison used the 100-term requirement for every block. The same synthetic fixture used 100 query terms and 16 tokens per document in the cases below. The required-term query matched one term per row and returned no rows.
SQL case
Candidate threshold
TiFlash CPU/query change
SQL P50
128-row scan, required terms
128
−41.4%
14.30 → 11.01 ms
128-row scan, OR first-token hit
128
+4.5%
10.48 → 10.45 ms
64-row scan, required terms
64
−23.0%
12.05 → 10.43 ms
The six rounds included 3,840 timed queries. Actual scan counts, matched row IDs, and MPP plans agreed across builds. The 128-row threshold improved the required-term case with similar early-hit P50. The 64-row threshold showed more variable early-hit CPU in the function benchmark.
STANDARD stopword pruning (960 SQL queries)
Compared 702ae7030a with its immediate parent ddcae28611. CPU/query fell 6.9%–8.7% in the binary cases and 16.2%–17.4% in the General CI cases. All four paired runs improved for those cases.
Query
Stopword collation
TiFlash CPU/query, ms
SQL P50, ms
STANDARD prefix 3372*
utf8mb4_bin
101.63 → 94.63 (−6.89%)
91.01 → 86.11 (−5.39%)
STANDARD phrase "Bosch-337296"
utf8mb4_bin
193.25 → 176.50 (−8.67%)
161.08 → 151.06 (−6.22%)
STANDARD prefix 3372*
utf8mb4_general_ci
122.75 → 102.88 (−16.19%)
108.05 → 90.68 (−16.07%)
STANDARD phrase "Bosch-337296"
utf8mb4_general_ci
221.75 → 183.13 (−17.42%)
192.58 → 156.57 (−18.70%)
STANDARD prefix control 3372*
utf8mb4_unicode_ci
133.63 → 135.50 (+1.40%)
119.76 → 121.16 (+1.16%)
NGRAM phrase control "ernie.blick"
utf8mb4_bin
328.00 → 316.25 (−3.58%)
302.11 → 291.52 (−3.51%)
The eight rounds ran in A/B/B/A/B/A/A/B order with 20 timed queries per case per round, for 960 timed queries. The corpus, row filters, and stopword settings were the same as in the corresponding cases above. A query timed out during readiness checking after one restart. That round was rerun and its incomplete samples were excluded. The two control cases also moved. The measured deltas apply to this workload.
Release note
TiFlash supports local MATCH AGAINST expression evaluation for queries pushed down by TiDB on release-8.5.
Summary by CodeRabbit
New Features
Added Boolean full-text search for string columns, supporting required, optional, and excluded terms, phrases, and prefixes. Search options include standard or n-gram analysis and built-in stopwords.
Bug Fixes
Corrected JSON string unquoting validity checks for non-scalar inputs.
Generate the unfiltered token stream only after a filtered phrase matches, and reuse it for later clauses in the same document column.
ref pingcap#10233
Signed-off-by: Zhigao Tong <tongzhigao@pingcap.com>
(cherry picked from commit 6304660)
Share the collation key table between STANDARD and NGRAM. Cache repeated short token results per block and stop probing when the initial hit rate is low.
Signed-off-by: Zhigao Tong <tongzhigao@pingcap.com>
(cherry picked from commit 0a7545bc01e2b9c29d743c40a0b163c972c5fb92)
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The changes add local_match_against_boolean, connect it to TiDB expression analysis and function registration, update the tipb reference, and change when json_unquote skips validity checking.
Changes: Boolean Full-Text Matching
Layer / File(s)
Summary
Matcher contract and text analysis dbms/src/Functions/FunctionsLocalMatchAgainst.h, dbms/src/Functions/FunctionsLocalMatchAgainst.cpp, dbms/src/Functions/LocalMatchAgainstTokenChars.h
The new matcher declares a registration entry point and test seam. It adds Unicode token classification and STANDARD and NGRAM analysis with stopword filtering and token-position tracking.
Boolean query compilation and evaluation dbms/src/Functions/FunctionsLocalMatchAgainst.cpp
The matcher adds collation-aware term, prefix, and phrase matching; Boolean clause evaluation; query validation; and eligible exact-term index construction.
Row evaluation and function registration dbms/src/Functions/FunctionsLocalMatchAgainst.cpp, dbms/src/Functions/registerFunctions.cpp
The function validates arguments and metadata, evaluates rows across document columns, handles NULL searches and documents, and selects indexed or linear matching. It is registered with the function factory.
sequenceDiagram
participant TiDBExpr
participant DAGUtils
participant DAGExpressionAnalyzerHelper
participant FunctionFactory
TiDBExpr->>DAGUtils: LocalMatchAgainstBoolean signature
DAGUtils->>DAGExpressionAnalyzerHelper: Map signature to local_match_against_boolean
DAGExpressionAnalyzerHelper->>FunctionFactory: Apply function with expression arguments and collator
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Possibly related issues
pingcap/tiflash#10233 tracks the full-text search feature that this pull request implements.
Possibly related PRs
pingcap/tiflash#11296: This PR cherry-picks the same Local MATCH AGAINST implementation onto master.
Suggested reviewers:windtalker
Pre-merge checks: 4
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Title check
The title names the main change: adding local MATCH AGAINST Boolean expression support to Functions for the release-8.5 backport. The changeset adds the local_match_against_boolean function, its DAG d…
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The description follows the repository template. It has a problem statement that links the backport source (TiFlash #11111), the Tipb submodule commit, and the master PR. It has a commit-message block…
Full details: Title check
Explanation
The title names the main change: adding local MATCH AGAINST Boolean expression support to Functions for the release-8.5 backport. The changeset adds the local_match_against_boolean function, its DAG decoding and registration, and a tokenizer header, which match the title. It is specific and reads clearly in history. It omits the Tipb submodule bump, which is minor.
Full details: Description check
Explanation
The description follows the repository template. It has a problem statement that links the backport source (TiFlash #11111), the Tipb submodule commit, and the master PR. It has a commit-message block describing the change and a checklist with test evidence (49 focused unit tests and h124 Release binary pushdown verification). It also has an extensive performance section and a release note. Several template items are not marked: the Side effects checkboxes (CPU and memory consumption, backward compatibility) and the Documentation checkboxes, including 'Contains experimental features' and 'Changes MySQL compatibility'. The Check List also has no explicit unit or integration test box checked, though the text describes tests. The description reports 49 tests, but the objectives summary says 48. The description is substantive and specific, so it is mostly complete. The status is PASS because the required sections are present and the unmarked items are non-critical.
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A rabbit checks each token’s trail Through NGRAM paths and phrases pale MUST clauses hold, SHOULD clauses gleam Stopwords drift out of the stream Boolean matches hop through rows While JSON checks where scalar flows
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Fix comments: Fix CodeRabbit comments on this PR
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Review comments at @dbms/src/Flash/Coprocessor/DAGExpressionAnalyzerHelper.cpp:
- Line 528: Update the Local MATCH path at analyzer->applyFunction to pass the
document-side matching collation instead of the result collation from
getCollatorFromExpr(expr). Add a DAG-level test where the result collation is
binary and the document collation is case-insensitive, verifying that searching
for “quick” matches “Quick”.
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Regenerate the character table from the TiDB release-8.5 Go toolchain, cover a newly classified BMP letter, and retain Local MATCH protocol version 2.
Signed-off-by: Zhigao Tong <tongzhigao@pingcap.com>
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Major · Preserve the version-2 token classification. · gtest_local_match_against.cpp:47
dbms/src/Functions/tests/gtest_local_match_against.cpp:47 Major · Data Integrity & Integration · Heavy lift
Preserve the version-2 token classification.
Version 2 specifies Unicode 15 classification. An older TiDB version-2 request can therefore produce different results: +foo matches foo\u088Fbar with Unicode 15, but not with this table.
Retain Unicode 15 for version 2. Coordinate a new protocol version with TiDB for Unicode 17.
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Review comment at @dbms/src/Functions/tests/gtest_local_match_against.cpp at line 47:
Preserve Unicode 15 token classification for version 2 wherever TiDB::ITiDBCollator::UTF8MB4_GENERAL_CI is used; do not switch version-2 behavior to the Unicode 17 table. Use Unicode 17 only through a new protocol version coordinated with TiDB.
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Review comments at @dbms/src/Functions/tests/gtest_local_match_against.cpp:
- Line 47: Preserve Unicode 15 token classification for version 2 wherever
TiDB::ITiDBCollator::UTF8MB4_GENERAL_CI is used; do not switch version-2
behavior to the Unicode 17 table. Use Unicode 17 only through a new protocol
version coordinated with TiDB.
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Skip collation key generation for STANDARD tokens longer than any built-in stopword. Use byte lengths for binary collations and code-point counts for General CI. Preserve weight-based matching for Unicode CI and cover multibyte and ignorable-weight cases.
Signed-off-by: Zhigao Tong <tongzhigao@pingcap.com>
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solotzg
changed the title
Functions: backport local MATCH AGAINST to release-8.5
Functions: support local MATCH AGAINST Boolean expressions in release-8.5
Nov 11, 2026
Use a 16-token threshold for blocks with at least 256 rows and verify the automatic route at the row, token, and query-term boundaries.
Signed-off-by: Zhigao Tong <tongzhigao@pingcap.com>
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What problem does this PR solve?
Issue Number: ref #10233
Backport local
MATCH AGAINSTfrom TiFlash #11111 so TiFlash onrelease-8.5can evaluate Boolean full-text predicates pushed down by TiDB. The Tipb submodule points to348fa94e54, the merge commit of Tipb #440.Ref #11296 for the corresponding master PR.
What is changed and how it works?
Exact-term routing uses the block row count, effective query terms after analysis, and document tokens after analysis.
Check List
7b255e057f. Matching row IDs, MPP operators, predicate placement, and scan ranges agreed across the builds in each comparison. Plan checks ignored row estimates and statistics status.Performance
aa5dd2d0e2069b902965→f4020aed9eddcae28611→702ae7030aThe benchmarks ran on an Intel Xeon Gold 6240 host using the same dedicated test cluster, TiDB build, and TiFlash proxy within each comparison. TiFlash used one query thread and the same four CPUs. CPU/query measures TiFlash process CPU time. SQL P50 measures end-to-end latency. The queries measured
COUNT(*)andCOALESCE(SUM(id), 0)over the MATCH predicate.Full backport comparison with #11111 (776 SQL queries)
Compared #11111 merge commit
608fb566c3withaa5dd2d0e2. TiFlash CPU/query fell 40%–50% across the seven STANDARD and NGRAM cases and 92%–93% for the two short-document exact-term cases. With 100 required terms absent from 1,000-token documents, SQL P50 went from 1613.3 ms to 181.7 ms. The single-term control used 3.9% more TiFlash CPU with SQL P50 at 148.1 ms in both builds.3372*utf8mb4_bin"Bosch-337296"utf8mb4_bin3372*utf8mb4_general_ci"Bosch-337296"utf8mb4_general_ci3372*utf8mb4_unicode_ci"ernie.blick"utf8mb4_bin"zzzzz"utf8mb4_binFour warmed rounds ran in A/B/B/A order for 776 timed queries. Each case ran 20 times per round, except the 100-term cases, which ran 10 times per round for 1,000-token documents and 12 times per round for short documents. Both builds returned the same complete matched row IDs. The MPP plans matched with
estRowsand statistics status excluded. The run resumed after a statistics-status change interrupted one round. Completed samples were retained.The prefix and NGRAM cases used
workspace_id = 1on a 400,000-row synthetic corpus. The STANDARD phrase usedworkspace_id <= 2. Stopword collation iscollation_server. Exact-term cases usedutf8mb4_general_ciMATCH columns with stopwords disabled. The 1,000-token cases usedid < 1000. Each short-document case scanned 8,192 rows and matched one of the 100 required terms in every row, so every row was rejected.The candidate was linked from the
ddcae28611Release build with the Local MATCH implementation fromaa5dd2d0e2. Its embedded build metadata reportsddcae28611.Query-term threshold for large blocks (2,880 SQL queries)
Compared the 64-term threshold for blocks of at least 128 rows in
f4020aed9ewith the 100-term threshold in069b902965on h124. The benchmark used 64-term OR queries over 16-token documents in General CI and Unicode CI. Across both pairs, TiFlash CPU/query fell 33%–40% for 8,192-row scans with about 5% unmatched rows and 86%–87% when every row was unmatched.For the 128-row General CI first-token hit, TiFlash CPU/query rose 2.7% in aggregate. SQL P50 moved from 18.44 to 18.18 ms and P95 from 20.64 to 20.95 ms. The 2,880 timed SQL queries returned identical matched row IDs and used equivalent MPP plans with the same actual scan counts. Function tests also verified the 127/128-row and 63/64-term routing boundaries.
Block-size threshold and 16-row control (3,840 and 3,200 SQL queries)
On h124, the initial 256-row threshold patch reduced TiFlash CPU/query by 93%–96% for 100 required terms over 16- and 31-token documents across three collations. Each document matched one term and was rejected. A separate 3,200-query rerun verified 16-row scans with matching results and MPP plans. For the 100-term early hit, SQL P50 was 16.59 → 16.74 ms and P95 was 18.67 → 18.70 ms.
The follow-up compared the 128- and 64-row thresholds with the 256-row threshold on h124. This comparison used the 100-term requirement for every block. The same synthetic fixture used 100 query terms and 16 tokens per document in the cases below. The required-term query matched one term per row and returned no rows.
The six rounds included 3,840 timed queries. Actual scan counts, matched row IDs, and MPP plans agreed across builds. The 128-row threshold improved the required-term case with similar early-hit P50. The 64-row threshold showed more variable early-hit CPU in the function benchmark.
STANDARD stopword pruning (960 SQL queries)
Compared
702ae7030awith its immediate parentddcae28611. CPU/query fell 6.9%–8.7% in the binary cases and 16.2%–17.4% in the General CI cases. All four paired runs improved for those cases.3372*utf8mb4_bin"Bosch-337296"utf8mb4_bin3372*utf8mb4_general_ci"Bosch-337296"utf8mb4_general_ci3372*utf8mb4_unicode_ci"ernie.blick"utf8mb4_binThe eight rounds ran in A/B/B/A/B/A/A/B order with 20 timed queries per case per round, for 960 timed queries. The corpus, row filters, and stopword settings were the same as in the corresponding cases above. A query timed out during readiness checking after one restart. That round was rerun and its incomplete samples were excluded. The two control cases also moved. The measured deltas apply to this workload.
Release note
Summary by CodeRabbit