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base: rust:main
Branches Tags
rust:main rust:paul.masurel/skip-first-doc-on-intersection rust:stuhood.lazy-scorers-blocks-upstream rust:paul.masurel/seek_into_the_danger_zone_result rust:paul.masurel/search_into_danger_zone_fastfield rust:stuhood.lazy-scorers-blocks rust:paradedb/fix-agg-validation rust:flatheadmill-geo rust:paradedb-paradedb/fix-overflow-issue rust:low_card_optimization rust:paul.masurel/clippy rust:qw-airmail-20250916 rust:unit-test-aggregation-sum-other rust:clippy-and-cleanups rust:trinity.pointard/opti-sstable-sorted-ords-to-term rust:release_0.24 rust:dependabot/cargo/rand-0.9.1 rust:dependabot/cargo/lru-0.14.0 rust:dependabot/cargo/fs4-0.13.1 rust:tagged-user-input-ast rust:1686a/parse-agg-res rust:dependabot/cargo/rand_distr-0.5.1 rust:issue/2411-adding-panic-handler-to-rayon-merge-thread-pool rust:dependabot/cargo/nom-8 rust:upgrade_deps rust:test_parser rust:dependabot/github_actions/codecov/codecov-action-5 rust:binggan-0.12.0 rust:agg_format rust:path_collector rust:test_order_bug rust:test_columnar_multi rust:columnar_optionalmask_in_multivalues rust:prefix-phrase-query-optim rust:tantivy-with-oneshot rust:update_example rust:store-reader-enumerate rust:document-deserialize-seed rust:check_doc_mem rust:experimental-do-not-merge rust:expdonotmerge rust:cherry-pick-vec-instead-of-btreemap rust:validate_length rust:raphael_bench_avx_filter rust:raphael_optim_memset2 rust:query-field-name-avoid-alloc rust:check_bug rust:missing_test rust:list_fields rust:block-cache-control rust:trinity--multilayer-sstable rust:tracing-tantivy2 rust:tracing-tantivy rust:index_writer_err rust:default_fast_field_tokenizer rust:fmassot/add-preserve-original-ascii-folding rust:numeric_with_str_col rust:straightforward-simplify rust:fmassot/fake-test-branch rust:fmassot/dynamic-tokenizer-poc-follow-up rust:fmassot/add-box-token-filter-and-refactor rust:dynamic-tokenizer-proof-of-concept rust:fmassot/add-box-tokenizer-and-token-filter rust:tokenizer-api-0.1.1 rust:addconversion rust:removed-extra-enum-alternative-for-datetime-precision rust:issue/1981-reproduce-bm25-bug rust:tokenizer_docs rust:merge-proptests rust:columnar-todo rust:quickwit-0.5 rust:remove-byteorder rust:remove_dyn rust:pr/alexcole/1855-inject-bm25-statistics rust:evance-expose-build-query-from-user-input-ast rust:missing-specialized-method-arcdyncolumn rust:fast-u64-range-query rust:0.19.2 rust:columnar-cli2 rust:trinity--pub-term-as-slice rust:typed-column3 rust:columnar-merge3 rust:columnar-merge-exploring-fn rust:use_columnar rust:typed-column2 rust:term_agg_bucket_limit rust:range rust:typed-column rust:columnar-main rust:forced-types rust:u128-columnar rust:use_stats rust:truncation_comment rust:0.19.1 rust:trinity/yoke-documents rust:column-handle rust:columnar-cli rust:columnar rust:revert-1711-sparse_dense_index rust:commit-changes rust:sparse_dense_index_headroom rust:optional_column rust:no-column-for-multivalued rust:fmassot--bench-hdfs-with-array rust:bugfix-position-broken rust:float rust:simplify rust:debug_time rust:sparse_codecs rust:fix_estimate rust:column-reader rust:column-reader-b rust:columnreader-simple rust:col-trait-refact rust:ip_fastfield rust:column-trait-2 rust:refact-dyn-column rust:column-trait rust:refact-codec-trait rust:pr/PSeitz/1485-1 rust:fastfieldcodec rust:termmap_per_field rust:fastfield-codecs-tests rust:rayon-indexing-writers rust:issue/1251 rust:index-bench rust:fix_open_bytes_index rust:warming rust:revert-1222-issue/1195 rust:add-random-bench-for-fast-field rust:wasm-friendly-exploratory rust:revert-1159-patch-1 rust:debug-position-panic-0.15.3 rust:fix-issue-1111 rust:remove_rand rust:unused-deps rust:hfb/phrase_match_slop rust:0.15.3 rust:expose-min-max-on-multi-fast-field-reader rust:revert-1094-expose-min-max-on-multi-fast-field-reader rust:hotfix-1088 rust:owned-bytes-instead-of-rawdoc rust:rihardsk-date-ranges rust:issue/997 rust:0.13.3 rust:fail-fast-store-checkpoint rust:debugging-store rust:issue/reproduce-897 rust:issue/969-reproduce rust:troublescooter-static rust:intermediate-mergeable-troublescooter rust:barrotsteindev-filter-collector-tpredicatevalue rust:issue/938b rust:issue/938 rust:barrotsteindev-filter-collector rust:issue/922 rust:issue/896 rust:quickfix-explain rust:slog rust:limit-random-seeks rust:0.13.1 rust:issue/866b rust:bugfix-unittest-macos rust:githubactions rust:fieldnorm_readers rust:blockwand rust:nodeffeatfails rust:removedaliveiterator rust:robyoung-introduce-offset-to-top-docs rust:specialization-of-foreach-for-union-scorer rust:elshize-bmw rust:cutt rust:nrt rust:storewriter-out rust:segment_writer_in_ram2 rust:polling rust:audunhalland-query-boost rust:poll-meta rust:segment_writer_in_ram rust:bundle rust:petr-tik-n662_footer_is_incompatible_impl rust:race-condition-in-tests rust:hotfix-0.10.3-issue681 rust:remove-tru rust:kkoziara-pre-tokenized-text rust:issue/681 rust:issue/680 rust:refactoring/field rust:updating/uuid rust:fix-bench rust:hotfix-656 rust:readd-macos-ci rust:incremental-search rust:crate-division rust:streamer-with-state rust:criterion rust:python-binding-changes rust:bump-version rust:gh-pages rust:issue/554 rust:perf/experimental-union-for_each rust:issue/526b rust:softcommits rust:0.9.1-hotfix rust:revert-521-fix-non-english-stemmers rust:issue/500-hotfix rust:hotfix/0.8.2 rust:issue/483 rust:bug/merge-deted rust:issue/407 rust:issue/457 rust:segment_fruits rust:doc rust:dds/lenient rust:issue/webasm rust:issue/396 rust:broken_collector_with_result rust:dss/automaton-weight-suggestion rust:wasm rust:common-crawl rust:tantivy-imhotep
rust:0.25.0 rust:0.22.1 rust:0.24.2 rust:0.24.1 rust:tantivy-query-grammar-v0.24.0 rust:tantivy-columnar-v0.5.0 rust:tantivy-bitpacker-v0.8.0 rust:ownedbytes-v0.9.0 rust:tantivy-stacker-v0.5.0 rust:tantivy-sstable-v0.5.0 rust:tantivy-common-v0.9.0 rust:tantivy-tokenizer-api-v0.5.0 rust:0.24 rust:qw-airmail-20250224-hotfix-merge-panic rust:qw-airmail-20250219-hotfix-merge-panic rust:qw-airmail-202406 rust:qw-airmail-20240611 rust:qw-airmail-20240606 rust:quickwit-rev rust:0.22.0 rust:tantivy-stacker-v0.3.0 rust:ownedbytes-v0.7.0 rust:tantivy-tokenizer-api-v0.3.0 rust:tantivy-columnar-v0.3.0 rust:tantivy-common-v0.7.0 rust:tantivy-query-grammar-v0.22.0 rust:tantivy-sstable-v0.3.0 rust:tantivy-bitpacker-v0.6.0 rust:0.21.1 rust:0.21 rust:0.20.2 rust:0.20.1 rust:0.20 rust:quickwit-0.5-rev rust:0.19.2 rust:0.19.1 rust:0.19 rust:0.18.1 rust:0.18 rust:0.17 rust:0.16.1 rust:0.15.3 rust:0.15.2 rust:0.15.1 rust:0.15 rust:0.14 rust:0.13.3 rust:0.13.2 rust:0.13.1 rust:0.13 rust:0.12 rust:0.11.3 rust:0.11.1 rust:0.11 rust:0.10.3 rust:0.1 rust:0.10.2 rust:0.10.1 rust:0.10.0 rust:0.9.1 rust:0.9 rust:0.8.2 rust:0.8.2b rust:0.8.1 rust:0.8.0 rust:0.7.2 rust:0.7.1 rust:0.7.0 rust:0.6.1 rust:0.6.0 rust:0.5.2 rust:0.5.1 rust:0.5.0 rust:0.4.3 rust:0.4.2 rust:0.4.0 rust:0.3.1 rust:0.3.0 rust:0.2.0
..
compare: rust:0.24.1
Branches Tags
rust:paul.masurel/skip-first-doc-on-intersection rust:main rust:stuhood.lazy-scorers-blocks-upstream rust:paul.masurel/seek_into_the_danger_zone_result rust:paul.masurel/search_into_danger_zone_fastfield rust:stuhood.lazy-scorers-blocks rust:paradedb/fix-agg-validation rust:flatheadmill-geo rust:paradedb-paradedb/fix-overflow-issue rust:low_card_optimization rust:paul.masurel/clippy rust:qw-airmail-20250916 rust:unit-test-aggregation-sum-other rust:clippy-and-cleanups rust:trinity.pointard/opti-sstable-sorted-ords-to-term rust:release_0.24 rust:dependabot/cargo/rand-0.9.1 rust:dependabot/cargo/lru-0.14.0 rust:dependabot/cargo/fs4-0.13.1 rust:tagged-user-input-ast rust:1686a/parse-agg-res rust:dependabot/cargo/rand_distr-0.5.1 rust:issue/2411-adding-panic-handler-to-rayon-merge-thread-pool rust:dependabot/cargo/nom-8 rust:upgrade_deps rust:test_parser rust:dependabot/github_actions/codecov/codecov-action-5 rust:binggan-0.12.0 rust:agg_format rust:path_collector rust:test_order_bug rust:test_columnar_multi rust:columnar_optionalmask_in_multivalues rust:prefix-phrase-query-optim rust:tantivy-with-oneshot rust:update_example rust:store-reader-enumerate rust:document-deserialize-seed rust:check_doc_mem rust:experimental-do-not-merge rust:expdonotmerge rust:cherry-pick-vec-instead-of-btreemap rust:validate_length rust:raphael_bench_avx_filter rust:raphael_optim_memset2 rust:query-field-name-avoid-alloc rust:check_bug rust:missing_test rust:list_fields rust:block-cache-control rust:trinity--multilayer-sstable rust:tracing-tantivy2 rust:tracing-tantivy rust:index_writer_err rust:default_fast_field_tokenizer rust:fmassot/add-preserve-original-ascii-folding rust:numeric_with_str_col rust:straightforward-simplify rust:fmassot/fake-test-branch rust:fmassot/dynamic-tokenizer-poc-follow-up rust:fmassot/add-box-token-filter-and-refactor rust:dynamic-tokenizer-proof-of-concept rust:fmassot/add-box-tokenizer-and-token-filter rust:tokenizer-api-0.1.1 rust:addconversion rust:removed-extra-enum-alternative-for-datetime-precision rust:issue/1981-reproduce-bm25-bug rust:tokenizer_docs rust:merge-proptests rust:columnar-todo rust:quickwit-0.5 rust:remove-byteorder rust:remove_dyn rust:pr/alexcole/1855-inject-bm25-statistics rust:evance-expose-build-query-from-user-input-ast rust:missing-specialized-method-arcdyncolumn rust:fast-u64-range-query rust:0.19.2 rust:columnar-cli2 rust:trinity--pub-term-as-slice rust:typed-column3 rust:columnar-merge3 rust:columnar-merge-exploring-fn rust:use_columnar rust:typed-column2 rust:term_agg_bucket_limit rust:range rust:typed-column rust:columnar-main rust:forced-types rust:u128-columnar rust:use_stats rust:truncation_comment rust:0.19.1 rust:trinity/yoke-documents rust:column-handle rust:columnar-cli rust:columnar rust:revert-1711-sparse_dense_index rust:commit-changes rust:sparse_dense_index_headroom rust:optional_column rust:no-column-for-multivalued rust:fmassot--bench-hdfs-with-array rust:bugfix-position-broken rust:float rust:simplify rust:debug_time rust:sparse_codecs rust:fix_estimate rust:column-reader rust:column-reader-b rust:columnreader-simple rust:col-trait-refact rust:ip_fastfield rust:column-trait-2 rust:refact-dyn-column rust:column-trait rust:refact-codec-trait rust:pr/PSeitz/1485-1 rust:fastfieldcodec rust:termmap_per_field rust:fastfield-codecs-tests rust:rayon-indexing-writers rust:issue/1251 rust:index-bench rust:fix_open_bytes_index rust:warming rust:revert-1222-issue/1195 rust:add-random-bench-for-fast-field rust:wasm-friendly-exploratory rust:revert-1159-patch-1 rust:debug-position-panic-0.15.3 rust:fix-issue-1111 rust:remove_rand rust:unused-deps rust:hfb/phrase_match_slop rust:0.15.3 rust:expose-min-max-on-multi-fast-field-reader rust:revert-1094-expose-min-max-on-multi-fast-field-reader rust:hotfix-1088 rust:owned-bytes-instead-of-rawdoc rust:rihardsk-date-ranges rust:issue/997 rust:0.13.3 rust:fail-fast-store-checkpoint rust:debugging-store rust:issue/reproduce-897 rust:issue/969-reproduce rust:troublescooter-static rust:intermediate-mergeable-troublescooter rust:barrotsteindev-filter-collector-tpredicatevalue rust:issue/938b rust:issue/938 rust:barrotsteindev-filter-collector rust:issue/922 rust:issue/896 rust:quickfix-explain rust:slog rust:limit-random-seeks rust:0.13.1 rust:issue/866b rust:bugfix-unittest-macos rust:githubactions rust:fieldnorm_readers rust:blockwand rust:nodeffeatfails rust:removedaliveiterator rust:robyoung-introduce-offset-to-top-docs rust:specialization-of-foreach-for-union-scorer rust:elshize-bmw rust:cutt rust:nrt rust:storewriter-out rust:segment_writer_in_ram2 rust:polling rust:audunhalland-query-boost rust:poll-meta rust:segment_writer_in_ram rust:bundle rust:petr-tik-n662_footer_is_incompatible_impl rust:race-condition-in-tests rust:hotfix-0.10.3-issue681 rust:remove-tru rust:kkoziara-pre-tokenized-text rust:issue/681 rust:issue/680 rust:refactoring/field rust:updating/uuid rust:fix-bench rust:hotfix-656 rust:readd-macos-ci rust:incremental-search rust:crate-division rust:streamer-with-state rust:criterion rust:python-binding-changes rust:bump-version rust:gh-pages rust:issue/554 rust:perf/experimental-union-for_each rust:issue/526b rust:softcommits rust:0.9.1-hotfix rust:revert-521-fix-non-english-stemmers rust:issue/500-hotfix rust:hotfix/0.8.2 rust:issue/483 rust:bug/merge-deted rust:issue/407 rust:issue/457 rust:segment_fruits rust:doc rust:dds/lenient rust:issue/webasm rust:issue/396 rust:broken_collector_with_result rust:dss/automaton-weight-suggestion rust:wasm rust:common-crawl rust:tantivy-imhotep
rust:0.25.0 rust:0.22.1 rust:0.24.2 rust:0.24.1 rust:tantivy-query-grammar-v0.24.0 rust:tantivy-columnar-v0.5.0 rust:tantivy-bitpacker-v0.8.0 rust:ownedbytes-v0.9.0 rust:tantivy-stacker-v0.5.0 rust:tantivy-sstable-v0.5.0 rust:tantivy-common-v0.9.0 rust:tantivy-tokenizer-api-v0.5.0 rust:0.24 rust:qw-airmail-20250224-hotfix-merge-panic rust:qw-airmail-20250219-hotfix-merge-panic rust:qw-airmail-202406 rust:qw-airmail-20240611 rust:qw-airmail-20240606 rust:quickwit-rev rust:0.22.0 rust:tantivy-stacker-v0.3.0 rust:ownedbytes-v0.7.0 rust:tantivy-tokenizer-api-v0.3.0 rust:tantivy-columnar-v0.3.0 rust:tantivy-common-v0.7.0 rust:tantivy-query-grammar-v0.22.0 rust:tantivy-sstable-v0.3.0 rust:tantivy-bitpacker-v0.6.0 rust:0.21.1 rust:0.21 rust:0.20.2 rust:0.20.1 rust:0.20 rust:quickwit-0.5-rev rust:0.19.2 rust:0.19.1 rust:0.19 rust:0.18.1 rust:0.18 rust:0.17 rust:0.16.1 rust:0.15.3 rust:0.15.2 rust:0.15.1 rust:0.15 rust:0.14 rust:0.13.3 rust:0.13.2 rust:0.13.1 rust:0.13 rust:0.12 rust:0.11.3 rust:0.11.1 rust:0.11 rust:0.10.3 rust:0.1 rust:0.10.2 rust:0.10.1 rust:0.10.0 rust:0.9.1 rust:0.9 rust:0.8.2 rust:0.8.2b rust:0.8.1 rust:0.8.0 rust:0.7.2 rust:0.7.1 rust:0.7.0 rust:0.6.1 rust:0.6.0 rust:0.5.2 rust:0.5.1 rust:0.5.0 rust:0.4.3 rust:0.4.2 rust:0.4.0 rust:0.3.1 rust:0.3.0 rust:0.2.0

3 Commits
main ... 0.24.1

Author SHA1 Message Date
Pascal Seitz
eb37dbee26 bump required rust version to 1.81 2025-04-22 09:50:40 +08:00
Pascal Seitz
c6e77d27c6 chore: Release 2025-04-09 16:58:45 +08:00
Pascal Seitz
db6587ed9b chore: Release 2025-04-09 16:57:04 +08:00
275 changed files with 5754 additions and 16916 deletions
Expand all files Collapse all files

4
.github/workflows/coverage.yml vendored
View File

@@ -15,11 +15,11 @@ jobs:
steps: steps:
- uses: actions/checkout@v4 - uses: actions/checkout@v4
- name: Install Rust - name: Install Rust
run: rustup toolchain install nightly-2025-12-01 --profile minimal --component llvm-tools-preview run: rustup toolchain install nightly-2024-07-01 --profile minimal --component llvm-tools-preview
- uses: Swatinem/rust-cache@v2 - uses: Swatinem/rust-cache@v2
- uses: taiki-e/install-action@cargo-llvm-cov - uses: taiki-e/install-action@cargo-llvm-cov
- name: Generate code coverage - name: Generate code coverage
run: cargo +nightly-2025-12-01 llvm-cov --all-features --workspace --doctests --lcov --output-path lcov.info run: cargo +nightly-2024-07-01 llvm-cov --all-features --workspace --doctests --lcov --output-path lcov.info
- name: Upload coverage to Codecov - name: Upload coverage to Codecov
uses: codecov/codecov-action@v3 uses: codecov/codecov-action@v3
continue-on-error: true continue-on-error: true

30
.github/workflows/test.yml vendored
View File

@@ -39,11 +39,11 @@ jobs:
- name: Check Formatting - name: Check Formatting
run: cargo +nightly fmt --all -- --check run: cargo +nightly fmt --all -- --check
- name: Check Stable Compilation - name: Check Stable Compilation
run: cargo build --all-features run: cargo build --all-features
- name: Check Bench Compilation - name: Check Bench Compilation
run: cargo +nightly bench --no-run --profile=dev --all-features run: cargo +nightly bench --no-run --profile=dev --all-features
@@ -59,10 +59,10 @@ jobs:
strategy: strategy:
matrix: matrix:
features: features: [
- { label: "all", flags: "mmap,stopwords,lz4-compression,zstd-compression,failpoints,stemmer" } { label: "all", flags: "mmap,stopwords,lz4-compression,zstd-compression,failpoints" },
- { label: "quickwit", flags: "mmap,quickwit,failpoints" } { label: "quickwit", flags: "mmap,quickwit,failpoints" }
- { label: "none", flags: "" } ]
name: test-${{ matrix.features.label}} name: test-${{ matrix.features.label}}
@@ -80,21 +80,7 @@ jobs:
- uses: Swatinem/rust-cache@v2 - uses: Swatinem/rust-cache@v2
- name: Run tests - name: Run tests
run: | run: cargo +stable nextest run --features ${{ matrix.features.flags }} --verbose --workspace
# if matrix.feature.flags is empty then run on --lib to avoid compiling examples
# (as most of them rely on mmap) otherwise run all
if [ -z "${{ matrix.features.flags }}" ]; then
cargo +stable nextest run --lib --no-default-features --verbose --workspace
else
cargo +stable nextest run --features ${{ matrix.features.flags }} --no-default-features --verbose --workspace
fi
- name: Run doctests - name: Run doctests
run: | run: cargo +stable test --doc --features ${{ matrix.features.flags }} --verbose --workspace
# if matrix.feature.flags is empty then run on --lib to avoid compiling examples
# (as most of them rely on mmap) otherwise run all
if [ -z "${{ matrix.features.flags }}" ]; then
echo "no doctest for no feature flag"
else
cargo +stable test --doc --features ${{ matrix.features.flags }} --verbose --workspace
fi

42
CHANGELOG.md
View File

@@ -1,34 +1,6 @@
Tantivy 0.25 Tantivy 0.23 - Unreleased
================================ ================================
Tantivy 0.23 will be backwards compatible with indices created with v0.22 and v0.21. The new minimum rust version will be 1.75.
## Bugfixes
- fix union performance regression in tantivy 0.24 [#2663](https://github.com/quickwit-oss/tantivy/pull/2663)(@PSeitz)
- make zstd optional in sstable [#2633](https://github.com/quickwit-oss/tantivy/pull/2633)(@Parth)
- Fix TopDocs::order_by_string_fast_field for asc order [#2672](https://github.com/quickwit-oss/tantivy/pull/2672)(@stuhood @PSeitz)
## Features/Improvements
- add docs/example and Vec<u32> values to sstable [#2660](https://github.com/quickwit-oss/tantivy/pull/2660)(@PSeitz)
- Add string fast field support to `TopDocs`. [#2642](https://github.com/quickwit-oss/tantivy/pull/2642)(@stuhood)
- update edition to 2024 [#2620](https://github.com/quickwit-oss/tantivy/pull/2620)(@PSeitz)
- Allow optional spaces between the field name and the value in the query parser [#2678](https://github.com/quickwit-oss/tantivy/pull/2678)(@Darkheir)
- Support mixed field types in query parser [#2676](https://github.com/quickwit-oss/tantivy/pull/2676)(@trinity-1686a)
- Add per-field size details [#2679](https://github.com/quickwit-oss/tantivy/pull/2679)(@fulmicoton)
Tantivy 0.24.2
================================
- Fix TopNComputer for reverse order. [#2672](https://github.com/quickwit-oss/tantivy/pull/2672)(@stuhood @PSeitz)
Affected queries are [order_by_fast_field](https://docs.rs/tantivy/latest/tantivy/collector/struct.TopDocs.html#method.order_by_fast_field) and
[order_by_u64_field](https://docs.rs/tantivy/latest/tantivy/collector/struct.TopDocs.html#method.order_by_u64_field)
for `Order::Asc`
Tantivy 0.24.1
================================
- Fix: bump required rust version to 1.81
Tantivy 0.24
================================
Tantivy 0.24 will be backwards compatible with indices created with v0.22 and v0.21. The new minimum rust version will be 1.75. Tantivy 0.23 will be skipped.
#### Bugfixes #### Bugfixes
- fix potential endless loop in merge [#2457](https://github.com/quickwit-oss/tantivy/pull/2457)(@PSeitz) - fix potential endless loop in merge [#2457](https://github.com/quickwit-oss/tantivy/pull/2457)(@PSeitz)
@@ -78,7 +50,7 @@ This will slightly increase space and access time. [#2439](https://github.com/qu
- **Store DateTime as nanoseconds in doc store** DateTime in the doc store was truncated to microseconds previously. This removes this truncation, while still keeping backwards compatibility. [#2486](https://github.com/quickwit-oss/tantivy/pull/2486)(@PSeitz) - **Store DateTime as nanoseconds in doc store** DateTime in the doc store was truncated to microseconds previously. This removes this truncation, while still keeping backwards compatibility. [#2486](https://github.com/quickwit-oss/tantivy/pull/2486)(@PSeitz)
- **Performance/Memory** - **Performace/Memory**
- lift clauses in LogicalAst for optimized ast during execution [#2449](https://github.com/quickwit-oss/tantivy/pull/2449)(@PSeitz) - lift clauses in LogicalAst for optimized ast during execution [#2449](https://github.com/quickwit-oss/tantivy/pull/2449)(@PSeitz)
- Use Vec instead of BTreeMap to back OwnedValue object [#2364](https://github.com/quickwit-oss/tantivy/pull/2364)(@fulmicoton) - Use Vec instead of BTreeMap to back OwnedValue object [#2364](https://github.com/quickwit-oss/tantivy/pull/2364)(@fulmicoton)
- Replace TantivyDocument with CompactDoc. CompactDoc is much smaller and provides similar performance. [#2402](https://github.com/quickwit-oss/tantivy/pull/2402)(@PSeitz) - Replace TantivyDocument with CompactDoc. CompactDoc is much smaller and provides similar performance. [#2402](https://github.com/quickwit-oss/tantivy/pull/2402)(@PSeitz)
@@ -108,14 +80,6 @@ This will slightly increase space and access time. [#2439](https://github.com/qu
- Fix trait bound of StoreReader::iter [#2360](https://github.com/quickwit-oss/tantivy/pull/2360)(@adamreichold) - Fix trait bound of StoreReader::iter [#2360](https://github.com/quickwit-oss/tantivy/pull/2360)(@adamreichold)
- remove read_postings_no_deletes [#2526](https://github.com/quickwit-oss/tantivy/pull/2526)(@PSeitz) - remove read_postings_no_deletes [#2526](https://github.com/quickwit-oss/tantivy/pull/2526)(@PSeitz)
Tantivy 0.22.1
================================
- Fix TopNComputer for reverse order. [#2672](https://github.com/quickwit-oss/tantivy/pull/2672)(@stuhood @PSeitz)
Affected queries are [order_by_fast_field](https://docs.rs/tantivy/latest/tantivy/collector/struct.TopDocs.html#method.order_by_fast_field) and
[order_by_u64_field](https://docs.rs/tantivy/latest/tantivy/collector/struct.TopDocs.html#method.order_by_u64_field)
for `Order::Asc`
Tantivy 0.22 Tantivy 0.22
================================ ================================

55
Cargo.toml
View File

@@ -1,6 +1,6 @@
[package] [package]
name = "tantivy" name = "tantivy"
version = "0.26.0" version = "0.24.1"
authors = ["Paul Masurel <paul.masurel@gmail.com>"] authors = ["Paul Masurel <paul.masurel@gmail.com>"]
license = "MIT" license = "MIT"
categories = ["database-implementations", "data-structures"] categories = ["database-implementations", "data-structures"]
@@ -11,7 +11,7 @@ repository = "https://github.com/quickwit-oss/tantivy"
readme = "README.md" readme = "README.md"
keywords = ["search", "information", "retrieval"] keywords = ["search", "information", "retrieval"]
edition = "2021" edition = "2021"
rust-version = "1.85" rust-version = "1.81"
exclude = ["benches/*.json", "benches/*.txt"] exclude = ["benches/*.json", "benches/*.txt"]
[dependencies] [dependencies]
@@ -33,11 +33,11 @@ tempfile = { version = "3.12.0", optional = true }
log = "0.4.16" log = "0.4.16"
serde = { version = "1.0.219", features = ["derive"] } serde = { version = "1.0.219", features = ["derive"] }
serde_json = "1.0.140" serde_json = "1.0.140"
fs4 = { version = "0.13.1", optional = true } fs4 = { version = "0.8.0", optional = true }
levenshtein_automata = "0.2.1" levenshtein_automata = "0.2.1"
uuid = { version = "1.0.0", features = ["v4", "serde"] } uuid = { version = "1.0.0", features = ["v4", "serde"] }
crossbeam-channel = "0.5.4" crossbeam-channel = "0.5.4"
rust-stemmers = { version = "1.2.0", optional = true } rust-stemmers = "1.2.0"
downcast-rs = "2.0.1" downcast-rs = "2.0.1"
bitpacking = { version = "0.9.2", default-features = false, features = [ bitpacking = { version = "0.9.2", default-features = false, features = [
"bitpacker4x", "bitpacker4x",
@@ -57,30 +57,29 @@ measure_time = "0.9.0"
arc-swap = "1.5.0" arc-swap = "1.5.0"
bon = "3.3.1" bon = "3.3.1"
columnar = { version = "0.6", path = "./columnar", package = "tantivy-columnar" } columnar = { version = "0.5", path = "./columnar", package = "tantivy-columnar" }
sstable = { version = "0.6", path = "./sstable", package = "tantivy-sstable", optional = true } sstable = { version = "0.5", path = "./sstable", package = "tantivy-sstable", optional = true }
stacker = { version = "0.6", path = "./stacker", package = "tantivy-stacker" } stacker = { version = "0.5", path = "./stacker", package = "tantivy-stacker" }
query-grammar = { version = "0.25.0", path = "./query-grammar", package = "tantivy-query-grammar" } query-grammar = { version = "0.24.0", path = "./query-grammar", package = "tantivy-query-grammar" }
tantivy-bitpacker = { version = "0.9", path = "./bitpacker" } tantivy-bitpacker = { version = "0.8", path = "./bitpacker" }
common = { version = "0.10", path = "./common/", package = "tantivy-common" } common = { version = "0.9", path = "./common/", package = "tantivy-common" }
tokenizer-api = { version = "0.6", path = "./tokenizer-api", package = "tantivy-tokenizer-api" } tokenizer-api = { version = "0.5", path = "./tokenizer-api", package = "tantivy-tokenizer-api" }
sketches-ddsketch = { version = "0.3.0", features = ["use_serde"] } sketches-ddsketch = { version = "0.3.0", features = ["use_serde"] }
hyperloglogplus = { version = "0.4.1", features = ["const-loop"] } hyperloglogplus = { version = "0.4.1", features = ["const-loop"] }
futures-util = { version = "0.3.28", optional = true } futures-util = { version = "0.3.28", optional = true }
futures-channel = { version = "0.3.28", optional = true } futures-channel = { version = "0.3.28", optional = true }
fnv = "1.0.7" fnv = "1.0.7"
typetag = "0.2.21"
[target.'cfg(windows)'.dependencies] [target.'cfg(windows)'.dependencies]
winapi = "0.3.9" winapi = "0.3.9"
[dev-dependencies] [dev-dependencies]
binggan = "0.14.2" binggan = "0.14.0"
rand = "0.8.5" rand = "0.8.5"
maplit = "1.0.2" maplit = "1.0.2"
matches = "0.1.9" matches = "0.1.9"
pretty_assertions = "1.2.1" pretty_assertions = "1.2.1"
proptest = "1.7.0" proptest = "1.0.0"
test-log = "0.2.10" test-log = "0.2.10"
futures = "0.3.21" futures = "0.3.21"
paste = "1.0.11" paste = "1.0.11"
@@ -88,7 +87,7 @@ more-asserts = "0.3.1"
rand_distr = "0.4.3" rand_distr = "0.4.3"
time = { version = "0.3.10", features = ["serde-well-known", "macros"] } time = { version = "0.3.10", features = ["serde-well-known", "macros"] }
postcard = { version = "1.0.4", features = [ postcard = { version = "1.0.4", features = [
"use-std", "use-std",
], default-features = false } ], default-features = false }
[target.'cfg(not(windows))'.dev-dependencies] [target.'cfg(not(windows))'.dev-dependencies]
@@ -113,17 +112,13 @@ debug-assertions = true
overflow-checks = true overflow-checks = true
[features] [features]
default = ["mmap", "stopwords", "lz4-compression", "columnar-zstd-compression", "stemmer"] default = ["mmap", "stopwords", "lz4-compression"]
stemmer = ["rust-stemmers"]
mmap = ["fs4", "tempfile", "memmap2"] mmap = ["fs4", "tempfile", "memmap2"]
stopwords = [] stopwords = []
lz4-compression = ["lz4_flex"] lz4-compression = ["lz4_flex"]
zstd-compression = ["zstd"] zstd-compression = ["zstd"]
# enable zstd-compression in columnar (and sstable)
columnar-zstd-compression = ["columnar/zstd-compression"]
failpoints = ["fail", "fail/failpoints"] failpoints = ["fail", "fail/failpoints"]
unstable = [] # useful for benches. unstable = [] # useful for benches.
@@ -169,23 +164,3 @@ harness = false
[[bench]] [[bench]]
name = "agg_bench" name = "agg_bench"
harness = false harness = false
[[bench]]
name = "exists_json"
harness = false
[[bench]]
name = "range_query"
harness = false
[[bench]]
name = "and_or_queries"
harness = false
[[bench]]
name = "range_queries"
harness = false
[[bench]]
name = "bool_queries_with_range"
harness = false

3
README.md
View File

@@ -23,6 +23,8 @@ performance for different types of queries/collections.
Your mileage WILL vary depending on the nature of queries and their load. Your mileage WILL vary depending on the nature of queries and their load.
<img src="doc/assets/images/searchbenchmark.png">
Details about the benchmark can be found at this [repository](https://github.com/quickwit-oss/search-benchmark-game). Details about the benchmark can be found at this [repository](https://github.com/quickwit-oss/search-benchmark-game).
## Features ## Features
@@ -123,7 +125,6 @@ You can also find other bindings on [GitHub](https://github.com/search?q=tantivy
- [seshat](https://github.com/matrix-org/seshat/): A matrix message database/indexer - [seshat](https://github.com/matrix-org/seshat/): A matrix message database/indexer
- [tantiny](https://github.com/baygeldin/tantiny): Tiny full-text search for Ruby - [tantiny](https://github.com/baygeldin/tantiny): Tiny full-text search for Ruby
- [lnx](https://github.com/lnx-search/lnx): adaptable, typo tolerant search engine with a REST API - [lnx](https://github.com/lnx-search/lnx): adaptable, typo tolerant search engine with a REST API
- [Bichon](https://github.com/rustmailer/bichon): A lightweight, high-performance Rust email archiver with WebUI
- and [more](https://github.com/search?q=tantivy)! - and [more](https://github.com/search?q=tantivy)!
### On average, how much faster is Tantivy compared to Lucene? ### On average, how much faster is Tantivy compared to Lucene?

27
RELEASE.md
View File

@@ -1,4 +1,4 @@
# Releasing a new Tantivy Version # Release a new Tantivy Version
## Steps ## Steps
@@ -10,29 +10,12 @@
6. Set git tag with new version 6. Set git tag with new version
[`cargo-release`](https://github.com/crate-ci/cargo-release) will help us with steps 1-5: In conjucation with `cargo-release` Steps 1-4 (I'm not sure if the change detection works):
Set new packages to version 0.0.0
Replace prev-tag-name Replace prev-tag-name
```bash ```bash
cargo release --workspace --no-publish -v --prev-tag-name 0.24 --push-remote origin minor --no-tag cargo release --workspace --no-publish -v --prev-tag-name 0.19 --push-remote origin minor --no-tag --execute
``` ```
`no-tag` or it will create tags for all the subpackages no-tag or it will create tags for all the subpackages
cargo release will _not_ ignore unchanged packages, but it will print warnings for them.
e.g. "warning: updating ownedbytes to 0.10.0 despite no changes made since tag 0.24"
We need to manually ignore these unchanged packages
```bash
cargo release --workspace --no-publish -v --prev-tag-name 0.24 --push-remote origin minor --no-tag --exclude tokenizer-api
```
Add `--execute` to actually publish the packages, otherwise it will only print the commands that would be run.
### Tag Version
```bash
git tag 0.25.0
git push upstream tag 0.25.0
```

2
TODO.txt
View File

@@ -10,7 +10,7 @@ rename FastFieldReaders::open to load
remove fast field reader remove fast field reader
find a way to unify the two DateTime. find a way to unify the two DateTime.
re-add type check in the filter wrapper readd type check in the filter wrapper
add unit test on columnar list columns. add unit test on columnar list columns.

248
benches/agg_bench.rs
View File

@@ -1,6 +1,5 @@
use binggan::plugins::PeakMemAllocPlugin; use binggan::plugins::PeakMemAllocPlugin;
use binggan::{black_box, InputGroup, PeakMemAlloc, INSTRUMENTED_SYSTEM}; use binggan::{black_box, InputGroup, PeakMemAlloc, INSTRUMENTED_SYSTEM};
use rand::distributions::WeightedIndex;
use rand::prelude::SliceRandom; use rand::prelude::SliceRandom;
use rand::rngs::StdRng; use rand::rngs::StdRng;
use rand::{Rng, SeedableRng}; use rand::{Rng, SeedableRng};
@@ -54,41 +53,26 @@ fn bench_agg(mut group: InputGroup<Index>) {
register!(group, stats_f64); register!(group, stats_f64);
register!(group, extendedstats_f64); register!(group, extendedstats_f64);
register!(group, percentiles_f64); register!(group, percentiles_f64);
register!(group, terms_7); register!(group, terms_few);
register!(group, terms_all_unique); register!(group, terms_many);
register!(group, terms_150_000);
register!(group, terms_many_top_1000); register!(group, terms_many_top_1000);
register!(group, terms_many_order_by_term); register!(group, terms_many_order_by_term);
register!(group, terms_many_with_top_hits); register!(group, terms_many_with_top_hits);
register!(group, terms_all_unique_with_avg_sub_agg);
register!(group, terms_many_with_avg_sub_agg); register!(group, terms_many_with_avg_sub_agg);
register!(group, terms_status_with_avg_sub_agg);
register!(group, terms_status_with_histogram);
register!(group, terms_zipf_1000);
register!(group, terms_zipf_1000_with_histogram);
register!(group, terms_zipf_1000_with_avg_sub_agg);
register!(group, terms_many_json_mixed_type_with_avg_sub_agg); register!(group, terms_many_json_mixed_type_with_avg_sub_agg);
register!(group, cardinality_agg); register!(group, cardinality_agg);
register!(group, terms_status_with_cardinality_agg); register!(group, terms_few_with_cardinality_agg);
register!(group, range_agg); register!(group, range_agg);
register!(group, range_agg_with_avg_sub_agg); register!(group, range_agg_with_avg_sub_agg);
register!(group, range_agg_with_term_agg_status); register!(group, range_agg_with_term_agg_few);
register!(group, range_agg_with_term_agg_many); register!(group, range_agg_with_term_agg_many);
register!(group, histogram); register!(group, histogram);
register!(group, histogram_hard_bounds); register!(group, histogram_hard_bounds);
register!(group, histogram_with_avg_sub_agg); register!(group, histogram_with_avg_sub_agg);
register!(group, histogram_with_term_agg_status);
register!(group, avg_and_range_with_avg_sub_agg); register!(group, avg_and_range_with_avg_sub_agg);
// Filter aggregation benchmarks
register!(group, filter_agg_all_query_count_agg);
register!(group, filter_agg_term_query_count_agg);
register!(group, filter_agg_all_query_with_sub_aggs);
register!(group, filter_agg_term_query_with_sub_aggs);
group.run(); group.run();
} }
@@ -139,12 +123,12 @@ fn extendedstats_f64(index: &Index) {
} }
fn percentiles_f64(index: &Index) { fn percentiles_f64(index: &Index) {
let agg_req = json!({ let agg_req = json!({
"mypercentiles": { "mypercentiles": {
"percentiles": { "percentiles": {
"field": "score_f64", "field": "score_f64",
"percents": [ 95, 99, 99.9 ] "percents": [ 95, 99, 99.9 ]
}
} }
}
}); });
execute_agg(index, agg_req); execute_agg(index, agg_req);
} }
@@ -159,10 +143,10 @@ fn cardinality_agg(index: &Index) {
}); });
execute_agg(index, agg_req); execute_agg(index, agg_req);
} }
fn terms_status_with_cardinality_agg(index: &Index) { fn terms_few_with_cardinality_agg(index: &Index) {
let agg_req = json!({ let agg_req = json!({
"my_texts": { "my_texts": {
"terms": { "field": "text_few_terms_status" }, "terms": { "field": "text_few_terms" },
"aggs": { "aggs": {
"cardinality": { "cardinality": {
"cardinality": { "cardinality": {
@@ -175,20 +159,13 @@ fn terms_status_with_cardinality_agg(index: &Index) {
execute_agg(index, agg_req); execute_agg(index, agg_req);
} }
fn terms_7(index: &Index) { fn terms_few(index: &Index) {
let agg_req = json!({ let agg_req = json!({
"my_texts": { "terms": { "field": "text_few_terms_status" } }, "my_texts": { "terms": { "field": "text_few_terms" } },
}); });
execute_agg(index, agg_req); execute_agg(index, agg_req);
} }
fn terms_all_unique(index: &Index) { fn terms_many(index: &Index) {
let agg_req = json!({
"my_texts": { "terms": { "field": "text_all_unique_terms" } },
});
execute_agg(index, agg_req);
}
fn terms_150_000(index: &Index) {
let agg_req = json!({ let agg_req = json!({
"my_texts": { "terms": { "field": "text_many_terms" } }, "my_texts": { "terms": { "field": "text_many_terms" } },
}); });
@@ -236,72 +213,6 @@ fn terms_many_with_avg_sub_agg(index: &Index) {
}); });
execute_agg(index, agg_req); execute_agg(index, agg_req);
} }
fn terms_all_unique_with_avg_sub_agg(index: &Index) {
let agg_req = json!({
"my_texts": {
"terms": { "field": "text_all_unique_terms" },
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
},
});
execute_agg(index, agg_req);
}
fn terms_status_with_histogram(index: &Index) {
let agg_req = json!({
"my_texts": {
"terms": { "field": "text_few_terms_status" },
"aggs": {
"histo": {"histogram": { "field": "score_f64", "interval": 10 }}
}
}
});
execute_agg(index, agg_req);
}
fn terms_zipf_1000_with_histogram(index: &Index) {
let agg_req = json!({
"my_texts": {
"terms": { "field": "text_1000_terms_zipf" },
"aggs": {
"histo": {"histogram": { "field": "score_f64", "interval": 10 }}
}
}
});
execute_agg(index, agg_req);
}
fn terms_status_with_avg_sub_agg(index: &Index) {
let agg_req = json!({
"my_texts": {
"terms": { "field": "text_few_terms_status" },
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
},
});
execute_agg(index, agg_req);
}
fn terms_zipf_1000_with_avg_sub_agg(index: &Index) {
let agg_req = json!({
"my_texts": {
"terms": { "field": "text_1000_terms_zipf" },
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
},
});
execute_agg(index, agg_req);
}
fn terms_zipf_1000(index: &Index) {
let agg_req = json!({
"my_texts": { "terms": { "field": "text_1000_terms_zipf" } },
});
execute_agg(index, agg_req);
}
fn terms_many_json_mixed_type_with_avg_sub_agg(index: &Index) { fn terms_many_json_mixed_type_with_avg_sub_agg(index: &Index) {
let agg_req = json!({ let agg_req = json!({
"my_texts": { "my_texts": {
@@ -357,7 +268,7 @@ fn range_agg_with_avg_sub_agg(index: &Index) {
execute_agg(index, agg_req); execute_agg(index, agg_req);
} }
fn range_agg_with_term_agg_status(index: &Index) { fn range_agg_with_term_agg_few(index: &Index) {
let agg_req = json!({ let agg_req = json!({
"rangef64": { "rangef64": {
"range": { "range": {
@@ -372,7 +283,7 @@ fn range_agg_with_term_agg_status(index: &Index) {
] ]
}, },
"aggs": { "aggs": {
"my_texts": { "terms": { "field": "text_few_terms_status" } }, "my_texts": { "terms": { "field": "text_few_terms" } },
} }
}, },
}); });
@@ -428,17 +339,6 @@ fn histogram_with_avg_sub_agg(index: &Index) {
}); });
execute_agg(index, agg_req); execute_agg(index, agg_req);
} }
fn histogram_with_term_agg_status(index: &Index) {
let agg_req = json!({
"rangef64": {
"histogram": { "field": "score_f64", "interval": 10 },
"aggs": {
"my_texts": { "terms": { "field": "text_few_terms_status" } }
}
}
});
execute_agg(index, agg_req);
}
fn avg_and_range_with_avg_sub_agg(index: &Index) { fn avg_and_range_with_avg_sub_agg(index: &Index) {
let agg_req = json!({ let agg_req = json!({
"rangef64": { "rangef64": {
@@ -478,13 +378,6 @@ fn get_collector(agg_req: Aggregations) -> AggregationCollector {
} }
fn get_test_index_bench(cardinality: Cardinality) -> tantivy::Result<Index> { fn get_test_index_bench(cardinality: Cardinality) -> tantivy::Result<Index> {
// Flag to use existing index
let reuse_index = std::env::var("REUSE_AGG_BENCH_INDEX").is_ok();
if reuse_index && std::path::Path::new("agg_bench").exists() {
return Index::open_in_dir("agg_bench");
}
// crreate dir
std::fs::create_dir_all("agg_bench")?;
let mut schema_builder = Schema::builder(); let mut schema_builder = Schema::builder();
let text_fieldtype = tantivy::schema::TextOptions::default() let text_fieldtype = tantivy::schema::TextOptions::default()
.set_indexing_options( .set_indexing_options(
@@ -493,47 +386,20 @@ fn get_test_index_bench(cardinality: Cardinality) -> tantivy::Result<Index> {
.set_stored(); .set_stored();
let text_field = schema_builder.add_text_field("text", text_fieldtype); let text_field = schema_builder.add_text_field("text", text_fieldtype);
let json_field = schema_builder.add_json_field("json", FAST); let json_field = schema_builder.add_json_field("json", FAST);
let text_field_all_unique_terms =
schema_builder.add_text_field("text_all_unique_terms", STRING | FAST);
let text_field_many_terms = schema_builder.add_text_field("text_many_terms", STRING | FAST); let text_field_many_terms = schema_builder.add_text_field("text_many_terms", STRING | FAST);
let text_field_few_terms_status = let text_field_few_terms = schema_builder.add_text_field("text_few_terms", STRING | FAST);
schema_builder.add_text_field("text_few_terms_status", STRING | FAST);
let text_field_1000_terms_zipf =
schema_builder.add_text_field("text_1000_terms_zipf", STRING | FAST);
let score_fieldtype = tantivy::schema::NumericOptions::default().set_fast(); let score_fieldtype = tantivy::schema::NumericOptions::default().set_fast();
let score_field = schema_builder.add_u64_field("score", score_fieldtype.clone()); let score_field = schema_builder.add_u64_field("score", score_fieldtype.clone());
let score_field_f64 = schema_builder.add_f64_field("score_f64", score_fieldtype.clone()); let score_field_f64 = schema_builder.add_f64_field("score_f64", score_fieldtype.clone());
let score_field_i64 = schema_builder.add_i64_field("score_i64", score_fieldtype); let score_field_i64 = schema_builder.add_i64_field("score_i64", score_fieldtype);
// use tmp dir let index = Index::create_from_tempdir(schema_builder.build())?;
let index = if reuse_index { let few_terms_data = ["INFO", "ERROR", "WARN", "DEBUG"];
Index::create_in_dir("agg_bench", schema_builder.build())?
} else {
Index::create_from_tempdir(schema_builder.build())?
};
// Approximate log proportions
let status_field_data = [
("INFO", 8000),
("ERROR", 300),
("WARN", 1200),
("DEBUG", 500),
("OK", 500),
("CRITICAL", 20),
("EMERGENCY", 1),
];
let log_level_distribution =
WeightedIndex::new(status_field_data.iter().map(|item| item.1)).unwrap();
let lg_norm = rand_distr::LogNormal::new(2.996f64, 0.979f64).unwrap(); let lg_norm = rand_distr::LogNormal::new(2.996f64, 0.979f64).unwrap();
let many_terms_data = (0..150_000) let many_terms_data = (0..150_000)
.map(|num| format!("author{num}")) .map(|num| format!("author{num}"))
.collect::<Vec<_>>(); .collect::<Vec<_>>();
// Prepare 1000 unique terms sampled using a Zipf distribution.
// Exponent ~1.1 approximates top-20 terms covering around ~20%.
let terms_1000: Vec<String> = (1..=1000).map(|i| format!("term_{i}")).collect();
let zipf_1000 = rand_distr::Zipf::new(1000, 1.1f64).unwrap();
{ {
let mut rng = StdRng::from_seed([1u8; 32]); let mut rng = StdRng::from_seed([1u8; 32]);
let mut index_writer = index.writer_with_num_threads(1, 200_000_000)?; let mut index_writer = index.writer_with_num_threads(1, 200_000_000)?;
@@ -543,25 +409,15 @@ fn get_test_index_bench(cardinality: Cardinality) -> tantivy::Result<Index> {
index_writer.add_document(doc!())?; index_writer.add_document(doc!())?;
} }
if cardinality == Cardinality::Multivalued { if cardinality == Cardinality::Multivalued {
let log_level_sample_a = status_field_data[log_level_distribution.sample(&mut rng)].0;
let log_level_sample_b = status_field_data[log_level_distribution.sample(&mut rng)].0;
let idx_a = zipf_1000.sample(&mut rng) as usize - 1;
let idx_b = zipf_1000.sample(&mut rng) as usize - 1;
let term_1000_a = &terms_1000[idx_a];
let term_1000_b = &terms_1000[idx_b];
index_writer.add_document(doc!( index_writer.add_document(doc!(
json_field => json!({"mixed_type": 10.0}), json_field => json!({"mixed_type": 10.0}),
json_field => json!({"mixed_type": 10.0}), json_field => json!({"mixed_type": 10.0}),
text_field => "cool", text_field => "cool",
text_field => "cool", text_field => "cool",
text_field_all_unique_terms => "cool",
text_field_all_unique_terms => "coolo",
text_field_many_terms => "cool", text_field_many_terms => "cool",
text_field_many_terms => "cool", text_field_many_terms => "cool",
text_field_few_terms_status => log_level_sample_a, text_field_few_terms => "cool",
text_field_few_terms_status => log_level_sample_b, text_field_few_terms => "cool",
text_field_1000_terms_zipf => term_1000_a.as_str(),
text_field_1000_terms_zipf => term_1000_b.as_str(),
score_field => 1u64, score_field => 1u64,
score_field => 1u64, score_field => 1u64,
score_field_f64 => lg_norm.sample(&mut rng), score_field_f64 => lg_norm.sample(&mut rng),
@@ -586,10 +442,8 @@ fn get_test_index_bench(cardinality: Cardinality) -> tantivy::Result<Index> {
index_writer.add_document(doc!( index_writer.add_document(doc!(
text_field => "cool", text_field => "cool",
json_field => json, json_field => json,
text_field_all_unique_terms => format!("unique_term_{}", rng.gen::<u64>()),
text_field_many_terms => many_terms_data.choose(&mut rng).unwrap().to_string(), text_field_many_terms => many_terms_data.choose(&mut rng).unwrap().to_string(),
text_field_few_terms_status => status_field_data[log_level_distribution.sample(&mut rng)].0, text_field_few_terms => few_terms_data.choose(&mut rng).unwrap().to_string(),
text_field_1000_terms_zipf => terms_1000[zipf_1000.sample(&mut rng) as usize - 1].as_str(),
score_field => val as u64, score_field => val as u64,
score_field_f64 => lg_norm.sample(&mut rng), score_field_f64 => lg_norm.sample(&mut rng),
score_field_i64 => val as i64, score_field_i64 => val as i64,
@@ -606,61 +460,3 @@ fn get_test_index_bench(cardinality: Cardinality) -> tantivy::Result<Index> {
Ok(index) Ok(index)
} }
// Filter aggregation benchmarks
fn filter_agg_all_query_count_agg(index: &Index) {
let agg_req = json!({
"filtered": {
"filter": "*",
"aggs": {
"count": { "value_count": { "field": "score" } }
}
}
});
execute_agg(index, agg_req);
}
fn filter_agg_term_query_count_agg(index: &Index) {
let agg_req = json!({
"filtered": {
"filter": "text:cool",
"aggs": {
"count": { "value_count": { "field": "score" } }
}
}
});
execute_agg(index, agg_req);
}
fn filter_agg_all_query_with_sub_aggs(index: &Index) {
let agg_req = json!({
"filtered": {
"filter": "*",
"aggs": {
"avg_score": { "avg": { "field": "score" } },
"stats_score": { "stats": { "field": "score_f64" } },
"terms_text": {
"terms": { "field": "text_few_terms_status" }
}
}
}
});
execute_agg(index, agg_req);
}
fn filter_agg_term_query_with_sub_aggs(index: &Index) {
let agg_req = json!({
"filtered": {
"filter": "text:cool",
"aggs": {
"avg_score": { "avg": { "field": "score" } },
"stats_score": { "stats": { "field": "score_f64" } },
"terms_text": {
"terms": { "field": "text_few_terms_status" }
}
}
}
});
execute_agg(index, agg_req);
}

218
benches/and_or_queries.rs
View File

@@ -1,218 +0,0 @@
// Benchmarks boolean conjunction queries using binggan.
//
// What’s measured:
// - Or and And queries with varying selectivity (only `Term` queries for now on leafs)
// - Nested AND/OR combinations (on multiple fields)
// - No-scoring path using the Count collector (focus on iterator/skip performance)
// - Top-K retrieval (k=10) using the TopDocs collector
//
// Corpus model:
// - Synthetic docs; each token a/b/c is independently included per doc
// - If none of a/b/c are included, emit a neutral filler token to keep doc length similar
//
// Notes:
// - After optimization, when scoring is disabled Tantivy reads doc-only postings
// (IndexRecordOption::Basic), avoiding frequency decoding overhead.
// - This bench isolates boolean iteration speed and intersection/union cost.
// - Use `cargo bench --bench boolean_conjunction` to run.
use binggan::{black_box, BenchGroup, BenchRunner};
use rand::prelude::*;
use rand::rngs::StdRng;
use rand::SeedableRng;
use tantivy::collector::sort_key::SortByStaticFastValue;
use tantivy::collector::{Collector, Count, TopDocs};
use tantivy::query::{Query, QueryParser};
use tantivy::schema::{Schema, FAST, TEXT};
use tantivy::{doc, Index, Order, ReloadPolicy, Searcher};
#[derive(Clone)]
struct BenchIndex {
#[allow(dead_code)]
index: Index,
searcher: Searcher,
query_parser: QueryParser,
}
/// Build a single index containing both fields (title, body) and
/// return two BenchIndex views:
/// - single_field: QueryParser defaults to only "body"
/// - multi_field: QueryParser defaults to ["title", "body"]
fn build_shared_indices(num_docs: usize, p_a: f32, p_b: f32, p_c: f32) -> (BenchIndex, BenchIndex) {
// Unified schema (two text fields)
let mut schema_builder = Schema::builder();
let f_title = schema_builder.add_text_field("title", TEXT);
let f_body = schema_builder.add_text_field("body", TEXT);
let f_score = schema_builder.add_u64_field("score", FAST);
let f_score2 = schema_builder.add_u64_field("score2", FAST);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema.clone());
// Populate index with stable RNG for reproducibility.
let mut rng = StdRng::from_seed([7u8; 32]);
// Populate: spread each present token 90/10 to body/title
{
let mut writer = index.writer_with_num_threads(1, 500_000_000).unwrap();
for _ in 0..num_docs {
let has_a = rng.gen_bool(p_a as f64);
let has_b = rng.gen_bool(p_b as f64);
let has_c = rng.gen_bool(p_c as f64);
let score = rng.gen_range(0u64..100u64);
let score2 = rng.gen_range(0u64..100_000u64);
let mut title_tokens: Vec<&str> = Vec::new();
let mut body_tokens: Vec<&str> = Vec::new();
if has_a {
if rng.gen_bool(0.1) {
title_tokens.push("a");
} else {
body_tokens.push("a");
}
}
if has_b {
if rng.gen_bool(0.1) {
title_tokens.push("b");
} else {
body_tokens.push("b");
}
}
if has_c {
if rng.gen_bool(0.1) {
title_tokens.push("c");
} else {
body_tokens.push("c");
}
}
if title_tokens.is_empty() && body_tokens.is_empty() {
body_tokens.push("z");
}
writer
.add_document(doc!(
f_title=>title_tokens.join(" "),
f_body=>body_tokens.join(" "),
f_score=>score,
f_score2=>score2,
))
.unwrap();
}
writer.commit().unwrap();
}
// Prepare reader/searcher once.
let reader = index
.reader_builder()
.reload_policy(ReloadPolicy::Manual)
.try_into()
.unwrap();
let searcher = reader.searcher();
// Build two query parsers with different default fields.
let qp_single = QueryParser::for_index(&index, vec![f_body]);
let qp_multi = QueryParser::for_index(&index, vec![f_title, f_body]);
let single_view = BenchIndex {
index: index.clone(),
searcher: searcher.clone(),
query_parser: qp_single,
};
let multi_view = BenchIndex {
index,
searcher,
query_parser: qp_multi,
};
(single_view, multi_view)
}
fn main() {
// Prepare corpora with varying selectivity. Build one index per corpus
// and derive two views (single-field vs multi-field) from it.
let scenarios = vec![
(
"N=1M, p(a)=5%, p(b)=1%, p(c)=15%".to_string(),
1_000_000,
0.05,
0.01,
0.15,
),
(
"N=1M, p(a)=1%, p(b)=1%, p(c)=15%".to_string(),
1_000_000,
0.01,
0.01,
0.15,
),
];
let queries = &["a", "+a +b", "+a +b +c", "a OR b", "a OR b OR c"];
let mut runner = BenchRunner::new();
for (label, n, pa, pb, pc) in scenarios {
let (single_view, multi_view) = build_shared_indices(n, pa, pb, pc);
for (view_name, bench_index) in [("single_field", single_view), ("multi_field", multi_view)]
{
// Single-field group: default field is body only
let mut group = runner.new_group();
group.set_name(format!("{} — {}", view_name, label));
for query_str in queries {
add_bench_task(&mut group, &bench_index, query_str, Count, "count");
add_bench_task(
&mut group,
&bench_index,
query_str,
TopDocs::with_limit(10).order_by_score(),
"top10",
);
add_bench_task(
&mut group,
&bench_index,
query_str,
TopDocs::with_limit(10).order_by_fast_field::<u64>("score", Order::Asc),
"top10_by_ff",
);
add_bench_task(
&mut group,
&bench_index,
query_str,
TopDocs::with_limit(10).order_by((
SortByStaticFastValue::<u64>::for_field("score"),
SortByStaticFastValue::<u64>::for_field("score2"),
)),
"top10_by_2ff",
);
}
group.run();
}
}
}
fn add_bench_task<C: Collector + 'static>(
bench_group: &mut BenchGroup,
bench_index: &BenchIndex,
query_str: &str,
collector: C,
collector_name: &str,
) {
let task_name = format!("{}_{}", query_str.replace(" ", "_"), collector_name);
let query = bench_index.query_parser.parse_query(query_str).unwrap();
let search_task = SearchTask {
searcher: bench_index.searcher.clone(),
collector,
query,
};
bench_group.register(task_name, move |_| black_box(search_task.run()));
}
struct SearchTask<C: Collector> {
searcher: Searcher,
collector: C,
query: Box<dyn Query>,
}
impl<C: Collector> SearchTask<C> {
#[inline(never)]
pub fn run(&self) -> usize {
self.searcher.search(&self.query, &self.collector).unwrap();
1
}
}

288
benches/bool_queries_with_range.rs
View File

@@ -1,288 +0,0 @@
use binggan::{black_box, BenchGroup, BenchRunner};
use rand::prelude::*;
use rand::rngs::StdRng;
use rand::SeedableRng;
use tantivy::collector::{Collector, Count, DocSetCollector, TopDocs};
use tantivy::query::{Query, QueryParser};
use tantivy::schema::{Schema, FAST, INDEXED, TEXT};
use tantivy::{doc, Index, Order, ReloadPolicy, Searcher};
#[derive(Clone)]
struct BenchIndex {
#[allow(dead_code)]
index: Index,
searcher: Searcher,
query_parser: QueryParser,
}
fn build_shared_indices(num_docs: usize, p_title_a: f32, distribution: &str) -> BenchIndex {
// Unified schema
let mut schema_builder = Schema::builder();
let f_title = schema_builder.add_text_field("title", TEXT);
let f_num_rand = schema_builder.add_u64_field("num_rand", INDEXED);
let f_num_asc = schema_builder.add_u64_field("num_asc", INDEXED);
let f_num_rand_fast = schema_builder.add_u64_field("num_rand_fast", INDEXED | FAST);
let f_num_asc_fast = schema_builder.add_u64_field("num_asc_fast", INDEXED | FAST);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema.clone());
// Populate index with stable RNG for reproducibility.
let mut rng = StdRng::from_seed([7u8; 32]);
{
let mut writer = index.writer_with_num_threads(1, 4_000_000_000).unwrap();
match distribution {
"dense" => {
for doc_id in 0..num_docs {
// Always add title to avoid empty documents
let title_token = if rng.gen_bool(p_title_a as f64) {
"a"
} else {
"b"
};
let num_rand = rng.gen_range(0u64..1000u64);
let num_asc = (doc_id / 10000) as u64;
writer
.add_document(doc!(
f_title=>title_token,
f_num_rand=>num_rand,
f_num_asc=>num_asc,
f_num_rand_fast=>num_rand,
f_num_asc_fast=>num_asc,
))
.unwrap();
}
}
"sparse" => {
for doc_id in 0..num_docs {
// Always add title to avoid empty documents
let title_token = if rng.gen_bool(p_title_a as f64) {
"a"
} else {
"b"
};
let num_rand = rng.gen_range(0u64..10000000u64);
let num_asc = doc_id as u64;
writer
.add_document(doc!(
f_title=>title_token,
f_num_rand=>num_rand,
f_num_asc=>num_asc,
f_num_rand_fast=>num_rand,
f_num_asc_fast=>num_asc,
))
.unwrap();
}
}
_ => {
panic!("Unsupported distribution type");
}
}
writer.commit().unwrap();
}
// Prepare reader/searcher once.
let reader = index
.reader_builder()
.reload_policy(ReloadPolicy::Manual)
.try_into()
.unwrap();
let searcher = reader.searcher();
// Build query parser for title field
let qp_title = QueryParser::for_index(&index, vec![f_title]);
BenchIndex {
index,
searcher,
query_parser: qp_title,
}
}
fn main() {
// Prepare corpora with varying scenarios
let scenarios = vec![
(
"dense and 99% a".to_string(),
10_000_000,
0.99,
"dense",
0,
9,
),
(
"dense and 99% a".to_string(),
10_000_000,
0.99,
"dense",
990,
999,
),
(
"sparse and 99% a".to_string(),
10_000_000,
0.99,
"sparse",
0,
9,
),
(
"sparse and 99% a".to_string(),
10_000_000,
0.99,
"sparse",
9_999_990,
9_999_999,
),
];
let mut runner = BenchRunner::new();
for (scenario_id, n, p_title_a, num_rand_distribution, range_low, range_high) in scenarios {
// Build index for this scenario
let bench_index = build_shared_indices(n, p_title_a, num_rand_distribution);
// Create benchmark group
let mut group = runner.new_group();
// Now set the name (this moves scenario_id)
group.set_name(scenario_id);
// Define all four field types
let field_names = ["num_rand", "num_asc", "num_rand_fast", "num_asc_fast"];
// Define the three terms we want to test with
let terms = ["a", "b", "z"];
// Generate all combinations of terms and field names
let mut queries = Vec::new();
for &term in &terms {
for &field_name in &field_names {
let query_str = format!(
"{} AND {}:[{} TO {}]",
term, field_name, range_low, range_high
);
queries.push((query_str, field_name.to_string()));
}
}
let query_str = format!(
"{}:[{} TO {}] AND {}:[{} TO {}]",
"num_rand_fast", range_low, range_high, "num_asc_fast", range_low, range_high
);
queries.push((query_str, "num_asc_fast".to_string()));
// Run all benchmark tasks for each query and its corresponding field name
for (query_str, field_name) in queries {
run_benchmark_tasks(&mut group, &bench_index, &query_str, &field_name);
}
group.run();
}
}
/// Run all benchmark tasks for a given query string and field name
fn run_benchmark_tasks(
bench_group: &mut BenchGroup,
bench_index: &BenchIndex,
query_str: &str,
field_name: &str,
) {
// Test count
add_bench_task(bench_group, bench_index, query_str, Count, "count");
// Test all results
add_bench_task(
bench_group,
bench_index,
query_str,
DocSetCollector,
"all results",
);
// Test top 100 by the field (if it's a FAST field)
if field_name.ends_with("_fast") {
// Ascending order
{
let collector_name = format!("top100_by_{}_asc", field_name);
let field_name_owned = field_name.to_string();
add_bench_task(
bench_group,
bench_index,
query_str,
TopDocs::with_limit(100).order_by_fast_field::<u64>(field_name_owned, Order::Asc),
&collector_name,
);
}
// Descending order
{
let collector_name = format!("top100_by_{}_desc", field_name);
let field_name_owned = field_name.to_string();
add_bench_task(
bench_group,
bench_index,
query_str,
TopDocs::with_limit(100).order_by_fast_field::<u64>(field_name_owned, Order::Desc),
&collector_name,
);
}
}
}
fn add_bench_task<C: Collector + 'static>(
bench_group: &mut BenchGroup,
bench_index: &BenchIndex,
query_str: &str,
collector: C,
collector_name: &str,
) {
let task_name = format!("{}_{}", query_str.replace(" ", "_"), collector_name);
let query = bench_index.query_parser.parse_query(query_str).unwrap();
let search_task = SearchTask {
searcher: bench_index.searcher.clone(),
collector,
query,
};
bench_group.register(task_name, move |_| black_box(search_task.run()));
}
struct SearchTask<C: Collector> {
searcher: Searcher,
collector: C,
query: Box<dyn Query>,
}
impl<C: Collector> SearchTask<C> {
#[inline(never)]
pub fn run(&self) -> usize {
let result = self.searcher.search(&self.query, &self.collector).unwrap();
if let Some(count) = (&result as &dyn std::any::Any).downcast_ref::<usize>() {
*count
} else if let Some(top_docs) = (&result as &dyn std::any::Any)
.downcast_ref::<Vec<(Option<u64>, tantivy::DocAddress)>>()
{
top_docs.len()
} else if let Some(top_docs) =
(&result as &dyn std::any::Any).downcast_ref::<Vec<(u64, tantivy::DocAddress)>>()
{
top_docs.len()
} else if let Some(doc_set) = (&result as &dyn std::any::Any)
.downcast_ref::<std::collections::HashSet<tantivy::DocAddress>>()
{
doc_set.len()
} else {
eprintln!(
"Unknown collector result type: {:?}",
std::any::type_name::<C::Fruit>()
);
0
}
}
}

69
benches/exists_json.rs
View File

@@ -1,69 +0,0 @@
use binggan::plugins::PeakMemAllocPlugin;
use binggan::{black_box, InputGroup, PeakMemAlloc, INSTRUMENTED_SYSTEM};
use serde_json::json;
use tantivy::collector::Count;
use tantivy::query::ExistsQuery;
use tantivy::schema::{Schema, FAST, TEXT};
use tantivy::{doc, Index};
#[global_allocator]
pub static GLOBAL: &PeakMemAlloc<std::alloc::System> = &INSTRUMENTED_SYSTEM;
fn main() {
let doc_count: usize = 500_000;
let subfield_counts: &[usize] = &[1, 2, 3, 4, 5, 6, 7, 8, 16, 256, 4096, 65536, 262144];
let indices: Vec<(String, Index)> = subfield_counts
.iter()
.map(|&sub_fields| {
(
format!("subfields={sub_fields}"),
build_index_with_json_subfields(doc_count, sub_fields),
)
})
.collect();
let mut group = InputGroup::new_with_inputs(indices);
group.add_plugin(PeakMemAllocPlugin::new(GLOBAL));
group.config().num_iter_group = Some(1);
group.config().num_iter_bench = Some(1);
group.register("exists_json", exists_json_union);
group.run();
}
fn exists_json_union(index: &Index) {
let reader = index.reader().expect("reader");
let searcher = reader.searcher();
let query = ExistsQuery::new("json".to_string(), true);
let count = searcher.search(&query, &Count).expect("exists search");
// Prevents optimizer from eliding the search
black_box(count);
}
fn build_index_with_json_subfields(num_docs: usize, num_subfields: usize) -> Index {
// Schema: single JSON field stored as FAST to support ExistsQuery.
let mut schema_builder = Schema::builder();
let json_field = schema_builder.add_json_field("json", TEXT | FAST);
let schema = schema_builder.build();
let index = Index::create_from_tempdir(schema).expect("create index");
{
let mut index_writer = index
.writer_with_num_threads(1, 200_000_000)
.expect("writer");
for i in 0..num_docs {
let sub = i % num_subfields;
// Only one subpath set per document; rotate subpaths so that
// no single subpath is full, but the union covers all docs.
let v = json!({ format!("field_{sub}"): i as u64 });
index_writer
.add_document(doc!(json_field => v))
.expect("add_document");
}
index_writer.commit().expect("commit");
}
index
}

365
benches/range_queries.rs
View File

@@ -1,365 +0,0 @@
use std::ops::Bound;
use binggan::{black_box, BenchGroup, BenchRunner};
use rand::prelude::*;
use rand::rngs::StdRng;
use rand::SeedableRng;
use tantivy::collector::{Count, DocSetCollector, TopDocs};
use tantivy::query::RangeQuery;
use tantivy::schema::{Schema, FAST, INDEXED};
use tantivy::{doc, Index, Order, ReloadPolicy, Searcher, Term};
#[derive(Clone)]
struct BenchIndex {
#[allow(dead_code)]
index: Index,
searcher: Searcher,
}
fn build_shared_indices(num_docs: usize, distribution: &str) -> BenchIndex {
// Schema with fast fields only
let mut schema_builder = Schema::builder();
let f_num_rand_fast = schema_builder.add_u64_field("num_rand_fast", INDEXED | FAST);
let f_num_asc_fast = schema_builder.add_u64_field("num_asc_fast", INDEXED | FAST);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema.clone());
// Populate index with stable RNG for reproducibility.
let mut rng = StdRng::from_seed([7u8; 32]);
{
let mut writer = index.writer_with_num_threads(1, 4_000_000_000).unwrap();
match distribution {
"dense" => {
for doc_id in 0..num_docs {
let num_rand = rng.gen_range(0u64..1000u64);
let num_asc = (doc_id / 10000) as u64;
writer
.add_document(doc!(
f_num_rand_fast=>num_rand,
f_num_asc_fast=>num_asc,
))
.unwrap();
}
}
"sparse" => {
for doc_id in 0..num_docs {
let num_rand = rng.gen_range(0u64..10000000u64);
let num_asc = doc_id as u64;
writer
.add_document(doc!(
f_num_rand_fast=>num_rand,
f_num_asc_fast=>num_asc,
))
.unwrap();
}
}
_ => {
panic!("Unsupported distribution type");
}
}
writer.commit().unwrap();
}
// Prepare reader/searcher once.
let reader = index
.reader_builder()
.reload_policy(ReloadPolicy::Manual)
.try_into()
.unwrap();
let searcher = reader.searcher();
BenchIndex { index, searcher }
}
fn main() {
// Prepare corpora with varying scenarios
let scenarios = vec![
// Dense distribution - random values in small range (0-999)
(
"dense_values_search_low_value_range".to_string(),
10_000_000,
"dense",
0,
9,
),
(
"dense_values_search_high_value_range".to_string(),
10_000_000,
"dense",
990,
999,
),
(
"dense_values_search_out_of_range".to_string(),
10_000_000,
"dense",
1000,
1002,
),
(
"sparse_values_search_low_value_range".to_string(),
10_000_000,
"sparse",
0,
9,
),
(
"sparse_values_search_high_value_range".to_string(),
10_000_000,
"sparse",
9_999_990,
9_999_999,
),
(
"sparse_values_search_out_of_range".to_string(),
10_000_000,
"sparse",
10_000_000,
10_000_002,
),
];
let mut runner = BenchRunner::new();
for (scenario_id, n, num_rand_distribution, range_low, range_high) in scenarios {
// Build index for this scenario
let bench_index = build_shared_indices(n, num_rand_distribution);
// Create benchmark group
let mut group = runner.new_group();
// Now set the name (this moves scenario_id)
group.set_name(scenario_id);
// Define fast field types
let field_names = ["num_rand_fast", "num_asc_fast"];
// Generate range queries for fast fields
for &field_name in &field_names {
// Create the range query
let field = bench_index.searcher.schema().get_field(field_name).unwrap();
let lower_term = Term::from_field_u64(field, range_low);
let upper_term = Term::from_field_u64(field, range_high);
let query = RangeQuery::new(Bound::Included(lower_term), Bound::Included(upper_term));
run_benchmark_tasks(
&mut group,
&bench_index,
query,
field_name,
range_low,
range_high,
);
}
group.run();
}
}
/// Run all benchmark tasks for a given range query and field name
fn run_benchmark_tasks(
bench_group: &mut BenchGroup,
bench_index: &BenchIndex,
query: RangeQuery,
field_name: &str,
range_low: u64,
range_high: u64,
) {
// Test count
add_bench_task_count(
bench_group,
bench_index,
query.clone(),
"count",
field_name,
range_low,
range_high,
);
// Test top 100 by the field (ascending order)
{
let collector_name = format!("top100_by_{}_asc", field_name);
let field_name_owned = field_name.to_string();
add_bench_task_top100_asc(
bench_group,
bench_index,
query.clone(),
&collector_name,
field_name,
range_low,
range_high,
field_name_owned,
);
}
// Test top 100 by the field (descending order)
{
let collector_name = format!("top100_by_{}_desc", field_name);
let field_name_owned = field_name.to_string();
add_bench_task_top100_desc(
bench_group,
bench_index,
query,
&collector_name,
field_name,
range_low,
range_high,
field_name_owned,
);
}
}
fn add_bench_task_count(
bench_group: &mut BenchGroup,
bench_index: &BenchIndex,
query: RangeQuery,
collector_name: &str,
field_name: &str,
range_low: u64,
range_high: u64,
) {
let task_name = format!(
"range_{}_[{} TO {}]_{}",
field_name, range_low, range_high, collector_name
);
let search_task = CountSearchTask {
searcher: bench_index.searcher.clone(),
query,
};
bench_group.register(task_name, move |_| black_box(search_task.run()));
}
fn add_bench_task_docset(
bench_group: &mut BenchGroup,
bench_index: &BenchIndex,
query: RangeQuery,
collector_name: &str,
field_name: &str,
range_low: u64,
range_high: u64,
) {
let task_name = format!(
"range_{}_[{} TO {}]_{}",
field_name, range_low, range_high, collector_name
);
let search_task = DocSetSearchTask {
searcher: bench_index.searcher.clone(),
query,
};
bench_group.register(task_name, move |_| black_box(search_task.run()));
}
fn add_bench_task_top100_asc(
bench_group: &mut BenchGroup,
bench_index: &BenchIndex,
query: RangeQuery,
collector_name: &str,
field_name: &str,
range_low: u64,
range_high: u64,
field_name_owned: String,
) {
let task_name = format!(
"range_{}_[{} TO {}]_{}",
field_name, range_low, range_high, collector_name
);
let search_task = Top100AscSearchTask {
searcher: bench_index.searcher.clone(),
query,
field_name: field_name_owned,
};
bench_group.register(task_name, move |_| black_box(search_task.run()));
}
fn add_bench_task_top100_desc(
bench_group: &mut BenchGroup,
bench_index: &BenchIndex,
query: RangeQuery,
collector_name: &str,
field_name: &str,
range_low: u64,
range_high: u64,
field_name_owned: String,
) {
let task_name = format!(
"range_{}_[{} TO {}]_{}",
field_name, range_low, range_high, collector_name
);
let search_task = Top100DescSearchTask {
searcher: bench_index.searcher.clone(),
query,
field_name: field_name_owned,
};
bench_group.register(task_name, move |_| black_box(search_task.run()));
}
struct CountSearchTask {
searcher: Searcher,
query: RangeQuery,
}
impl CountSearchTask {
#[inline(never)]
pub fn run(&self) -> usize {
self.searcher.search(&self.query, &Count).unwrap()
}
}
struct DocSetSearchTask {
searcher: Searcher,
query: RangeQuery,
}
impl DocSetSearchTask {
#[inline(never)]
pub fn run(&self) -> usize {
let result = self.searcher.search(&self.query, &DocSetCollector).unwrap();
result.len()
}
}
struct Top100AscSearchTask {
searcher: Searcher,
query: RangeQuery,
field_name: String,
}
impl Top100AscSearchTask {
#[inline(never)]
pub fn run(&self) -> usize {
let collector =
TopDocs::with_limit(100).order_by_fast_field::<u64>(&self.field_name, Order::Asc);
let result = self.searcher.search(&self.query, &collector).unwrap();
for (_score, doc_address) in &result {
let _doc: tantivy::TantivyDocument = self.searcher.doc(*doc_address).unwrap();
}
result.len()
}
}
struct Top100DescSearchTask {
searcher: Searcher,
query: RangeQuery,
field_name: String,
}
impl Top100DescSearchTask {
#[inline(never)]
pub fn run(&self) -> usize {
let collector =
TopDocs::with_limit(100).order_by_fast_field::<u64>(&self.field_name, Order::Desc);
let result = self.searcher.search(&self.query, &collector).unwrap();
for (_score, doc_address) in &result {
let _doc: tantivy::TantivyDocument = self.searcher.doc(*doc_address).unwrap();
}
result.len()
}
}

260
benches/range_query.rs
View File

@@ -1,260 +0,0 @@
use std::fmt::Display;
use std::net::Ipv6Addr;
use std::ops::RangeInclusive;
use binggan::plugins::PeakMemAllocPlugin;
use binggan::{black_box, BenchRunner, OutputValue, PeakMemAlloc, INSTRUMENTED_SYSTEM};
use columnar::MonotonicallyMappableToU128;
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
use tantivy::collector::{Count, TopDocs};
use tantivy::query::QueryParser;
use tantivy::schema::*;
use tantivy::{doc, Index};
#[global_allocator]
pub static GLOBAL: &PeakMemAlloc<std::alloc::System> = &INSTRUMENTED_SYSTEM;
fn main() {
bench_range_query();
}
fn bench_range_query() {
let index = get_index_0_to_100();
let mut runner = BenchRunner::new();
runner.add_plugin(PeakMemAllocPlugin::new(GLOBAL));
runner.set_name("range_query on u64");
let field_name_and_descr: Vec<_> = vec![
("id", "Single Valued Range Field"),
("ids", "Multi Valued Range Field"),
];
let range_num_hits = vec![
("90_percent", get_90_percent()),
("10_percent", get_10_percent()),
("1_percent", get_1_percent()),
];
test_range(&mut runner, &index, &field_name_and_descr, range_num_hits);
runner.set_name("range_query on ip");
let field_name_and_descr: Vec<_> = vec![
("ip", "Single Valued Range Field"),
("ips", "Multi Valued Range Field"),
];
let range_num_hits = vec![
("90_percent", get_90_percent_ip()),
("10_percent", get_10_percent_ip()),
("1_percent", get_1_percent_ip()),
];
test_range(&mut runner, &index, &field_name_and_descr, range_num_hits);
}
fn test_range<T: Display>(
runner: &mut BenchRunner,
index: &Index,
field_name_and_descr: &[(&str, &str)],
range_num_hits: Vec<(&str, RangeInclusive<T>)>,
) {
for (field, suffix) in field_name_and_descr {
let term_num_hits = vec![
("", ""),
("1_percent", "veryfew"),
("10_percent", "few"),
("90_percent", "most"),
];
let mut group = runner.new_group();
group.set_name(suffix);
// all intersect combinations
for (range_name, range) in &range_num_hits {
for (term_name, term) in &term_num_hits {
let index = &index;
let test_name = if term_name.is_empty() {
format!("id_range_hit_{}", range_name)
} else {
format!(
"id_range_hit_{}_intersect_with_term_{}",
range_name, term_name
)
};
group.register(test_name, move |_| {
let query = if term_name.is_empty() {
"".to_string()
} else {
format!("AND id_name:{}", term)
};
black_box(execute_query(field, range, &query, index));
});
}
}
group.run();
}
}
fn get_index_0_to_100() -> Index {
let mut rng = StdRng::from_seed([1u8; 32]);
let num_vals = 100_000;
let docs: Vec<_> = (0..num_vals)
.map(|_i| {
let id_name = if rng.gen_bool(0.01) {
"veryfew".to_string() // 1%
} else if rng.gen_bool(0.1) {
"few".to_string() // 9%
} else {
"most".to_string() // 90%
};
Doc {
id_name,
id: rng.gen_range(0..100),
// Multiply by 1000, so that we create most buckets in the compact space
// The benches depend on this range to select n-percent of elements with the
// methods below.
ip: Ipv6Addr::from_u128(rng.gen_range(0..100) * 1000),
}
})
.collect();
create_index_from_docs(&docs)
}
#[derive(Clone, Debug)]
pub struct Doc {
pub id_name: String,
pub id: u64,
pub ip: Ipv6Addr,
}
pub fn create_index_from_docs(docs: &[Doc]) -> Index {
let mut schema_builder = Schema::builder();
let id_u64_field = schema_builder.add_u64_field("id", INDEXED | STORED | FAST);
let ids_u64_field =
schema_builder.add_u64_field("ids", NumericOptions::default().set_fast().set_indexed());
let id_f64_field = schema_builder.add_f64_field("id_f64", INDEXED | STORED | FAST);
let ids_f64_field = schema_builder.add_f64_field(
"ids_f64",
NumericOptions::default().set_fast().set_indexed(),
);
let id_i64_field = schema_builder.add_i64_field("id_i64", INDEXED | STORED | FAST);
let ids_i64_field = schema_builder.add_i64_field(
"ids_i64",
NumericOptions::default().set_fast().set_indexed(),
);
let text_field = schema_builder.add_text_field("id_name", STRING | STORED);
let text_field2 = schema_builder.add_text_field("id_name_fast", STRING | STORED | FAST);
let ip_field = schema_builder.add_ip_addr_field("ip", FAST);
let ips_field = schema_builder.add_ip_addr_field("ips", FAST);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
{
let mut index_writer = index.writer_with_num_threads(1, 50_000_000).unwrap();
for doc in docs.iter() {
index_writer
.add_document(doc!(
ids_i64_field => doc.id as i64,
ids_i64_field => doc.id as i64,
ids_f64_field => doc.id as f64,
ids_f64_field => doc.id as f64,
ids_u64_field => doc.id,
ids_u64_field => doc.id,
id_u64_field => doc.id,
id_f64_field => doc.id as f64,
id_i64_field => doc.id as i64,
text_field => doc.id_name.to_string(),
text_field2 => doc.id_name.to_string(),
ips_field => doc.ip,
ips_field => doc.ip,
ip_field => doc.ip,
))
.unwrap();
}
index_writer.commit().unwrap();
}
index
}
fn get_90_percent() -> RangeInclusive<u64> {
0..=90
}
fn get_10_percent() -> RangeInclusive<u64> {
0..=10
}
fn get_1_percent() -> RangeInclusive<u64> {
10..=10
}
fn get_90_percent_ip() -> RangeInclusive<Ipv6Addr> {
let start = Ipv6Addr::from_u128(0);
let end = Ipv6Addr::from_u128(90 * 1000);
start..=end
}
fn get_10_percent_ip() -> RangeInclusive<Ipv6Addr> {
let start = Ipv6Addr::from_u128(0);
let end = Ipv6Addr::from_u128(10 * 1000);
start..=end
}
fn get_1_percent_ip() -> RangeInclusive<Ipv6Addr> {
let start = Ipv6Addr::from_u128(10 * 1000);
let end = Ipv6Addr::from_u128(10 * 1000);
start..=end
}
struct NumHits {
count: usize,
}
impl OutputValue for NumHits {
fn column_title() -> &'static str {
"NumHits"
}
fn format(&self) -> Option<String> {
Some(self.count.to_string())
}
}
fn execute_query<T: Display>(
field: &str,
id_range: &RangeInclusive<T>,
suffix: &str,
index: &Index,
) -> NumHits {
let gen_query_inclusive = |from: &T, to: &T| {
format!(
"{}:[{} TO {}] {}",
field,
&from.to_string(),
&to.to_string(),
suffix
)
};
let query = gen_query_inclusive(id_range.start(), id_range.end());
execute_query_(&query, index)
}
fn execute_query_(query: &str, index: &Index) -> NumHits {
let query_from_text = |text: &str| {
QueryParser::for_index(index, vec![])
.parse_query(text)
.unwrap()
};
let query = query_from_text(query);
let reader = index.reader().unwrap();
let searcher = reader.searcher();
let num_hits = searcher
.search(&query, &(TopDocs::with_limit(10).order_by_score(), Count))
.unwrap()
.1;
NumHits { count: num_hits }
}

4
bitpacker/Cargo.toml
View File

@@ -1,7 +1,7 @@
[package] [package]
name = "tantivy-bitpacker" name = "tantivy-bitpacker"
version = "0.9.0" version = "0.8.0"
edition = "2024" edition = "2021"
authors = ["Paul Masurel <paul.masurel@gmail.com>"] authors = ["Paul Masurel <paul.masurel@gmail.com>"]
license = "MIT" license = "MIT"
categories = [] categories = []

8
bitpacker/src/bitpacker.rs
View File

@@ -48,7 +48,7 @@ impl BitPacker {
pub fn flush<TWrite: io::Write + ?Sized>(&mut self, output: &mut TWrite) -> io::Result<()> { pub fn flush<TWrite: io::Write + ?Sized>(&mut self, output: &mut TWrite) -> io::Result<()> {
if self.mini_buffer_written > 0 { if self.mini_buffer_written > 0 {
let num_bytes = self.mini_buffer_written.div_ceil(8); let num_bytes = (self.mini_buffer_written + 7) / 8;
let bytes = self.mini_buffer.to_le_bytes(); let bytes = self.mini_buffer.to_le_bytes();
output.write_all(&bytes[..num_bytes])?; output.write_all(&bytes[..num_bytes])?;
self.mini_buffer_written = 0; self.mini_buffer_written = 0;
@@ -138,7 +138,7 @@ impl BitUnpacker {
// We use `usize` here to avoid overflow issues. // We use `usize` here to avoid overflow issues.
let end_bit_read = (end_idx as usize) * self.num_bits; let end_bit_read = (end_idx as usize) * self.num_bits;
let end_byte_read = end_bit_read.div_ceil(8); let end_byte_read = (end_bit_read + 7) / 8;
assert!( assert!(
end_byte_read <= data.len(), end_byte_read <= data.len(),
"Requested index is out of bounds." "Requested index is out of bounds."
@@ -258,7 +258,7 @@ mod test {
bitpacker.write(val, num_bits, &mut data).unwrap(); bitpacker.write(val, num_bits, &mut data).unwrap();
} }
bitpacker.close(&mut data).unwrap(); bitpacker.close(&mut data).unwrap();
assert_eq!(data.len(), ((num_bits as usize) * len).div_ceil(8)); assert_eq!(data.len(), ((num_bits as usize) * len + 7) / 8);
let bitunpacker = BitUnpacker::new(num_bits); let bitunpacker = BitUnpacker::new(num_bits);
(bitunpacker, vals, data) (bitunpacker, vals, data)
} }
@@ -304,7 +304,7 @@ mod test {
bitpacker.write(val, num_bits, &mut buffer).unwrap(); bitpacker.write(val, num_bits, &mut buffer).unwrap();
} }
bitpacker.flush(&mut buffer).unwrap(); bitpacker.flush(&mut buffer).unwrap();
assert_eq!(buffer.len(), (vals.len() * num_bits as usize).div_ceil(8)); assert_eq!(buffer.len(), (vals.len() * num_bits as usize + 7) / 8);
let bitunpacker = BitUnpacker::new(num_bits); let bitunpacker = BitUnpacker::new(num_bits);
let max_val = if num_bits == 64 { let max_val = if num_bits == 64 {
u64::MAX u64::MAX

8
bitpacker/src/blocked_bitpacker.rs
View File

@@ -1,6 +1,6 @@
use super::bitpacker::BitPacker; use super::bitpacker::BitPacker;
use super::compute_num_bits; use super::compute_num_bits;
use crate::{BitUnpacker, minmax}; use crate::{minmax, BitUnpacker};
const BLOCK_SIZE: usize = 128; const BLOCK_SIZE: usize = 128;
@@ -140,10 +140,10 @@ impl BlockedBitpacker {
pub fn iter(&self) -> impl Iterator<Item = u64> + '_ { pub fn iter(&self) -> impl Iterator<Item = u64> + '_ {
// todo performance: we could decompress a whole block and cache it instead // todo performance: we could decompress a whole block and cache it instead
let bitpacked_elems = self.offset_and_bits.len() * BLOCK_SIZE; let bitpacked_elems = self.offset_and_bits.len() * BLOCK_SIZE;
let iter = (0..bitpacked_elems)
(0..bitpacked_elems)
.map(move |idx| self.get(idx)) .map(move |idx| self.get(idx))
.chain(self.buffer.iter().cloned()) .chain(self.buffer.iter().cloned());
iter
} }
} }

27
bitpacker/src/filter_vec/avx2.rs
View File

@@ -19,7 +19,7 @@ fn u32_to_i32(val: u32) -> i32 {
#[inline] #[inline]
unsafe fn u32_to_i32_avx2(vals_u32x8s: DataType) -> DataType { unsafe fn u32_to_i32_avx2(vals_u32x8s: DataType) -> DataType {
const HIGHEST_BIT_MASK: DataType = from_u32x8([HIGHEST_BIT; NUM_LANES]); const HIGHEST_BIT_MASK: DataType = from_u32x8([HIGHEST_BIT; NUM_LANES]);
unsafe { op_xor(vals_u32x8s, HIGHEST_BIT_MASK) } op_xor(vals_u32x8s, HIGHEST_BIT_MASK)
} }
pub fn filter_vec_in_place(range: RangeInclusive<u32>, offset: u32, output: &mut Vec<u32>) { pub fn filter_vec_in_place(range: RangeInclusive<u32>, offset: u32, output: &mut Vec<u32>) {
@@ -66,19 +66,17 @@ unsafe fn filter_vec_avx2_aux(
]); ]);
const SHIFT: __m256i = from_u32x8([NUM_LANES as u32; NUM_LANES]); const SHIFT: __m256i = from_u32x8([NUM_LANES as u32; NUM_LANES]);
for _ in 0..num_words { for _ in 0..num_words {
unsafe { let word = load_unaligned(input);
let word = load_unaligned(input); let word = u32_to_i32_avx2(word);
let word = u32_to_i32_avx2(word); let keeper_bitset = compute_filter_bitset(word, range_simd.clone());
let keeper_bitset = compute_filter_bitset(word, range_simd.clone()); let added_len = keeper_bitset.count_ones();
let added_len = keeper_bitset.count_ones(); let filtered_doc_ids = compact(ids, keeper_bitset);
let filtered_doc_ids = compact(ids, keeper_bitset); store_unaligned(output_tail as *mut __m256i, filtered_doc_ids);
store_unaligned(output_tail as *mut __m256i, filtered_doc_ids); output_tail = output_tail.offset(added_len as isize);
output_tail = output_tail.offset(added_len as isize); ids = op_add(ids, SHIFT);
ids = op_add(ids, SHIFT); input = input.offset(1);
input = input.offset(1);
}
} }
unsafe { output_tail.offset_from(output) as usize } output_tail.offset_from(output) as usize
} }
#[inline] #[inline]
@@ -94,7 +92,8 @@ unsafe fn compute_filter_bitset(val: __m256i, range: std::ops::RangeInclusive<__
let too_low = op_greater(*range.start(), val); let too_low = op_greater(*range.start(), val);
let too_high = op_greater(val, *range.end()); let too_high = op_greater(val, *range.end());
let inside = op_or(too_low, too_high); let inside = op_or(too_low, too_high);
255 - std::arch::x86_64::_mm256_movemask_ps(_mm256_castsi256_ps(inside)) as u8 255 - std::arch::x86_64::_mm256_movemask_ps(std::mem::transmute::<DataType, __m256>(inside))
as u8
} }
union U8x32 { union U8x32 {

6
bitpacker/src/lib.rs
View File

@@ -33,7 +33,11 @@ pub use crate::blocked_bitpacker::BlockedBitpacker;
/// number of bits. /// number of bits.
pub fn compute_num_bits(n: u64) -> u8 { pub fn compute_num_bits(n: u64) -> u8 {
let amplitude = (64u32 - n.leading_zeros()) as u8; let amplitude = (64u32 - n.leading_zeros()) as u8;
if amplitude <= 64 - 8 { amplitude } else { 64 } if amplitude <= 64 - 8 {
amplitude
} else {
64
}
} }
/// Computes the (min, max) of an iterator of `PartialOrd` values. /// Computes the (min, max) of an iterator of `PartialOrd` values.

37
columnar/Cargo.toml
View File

@@ -1,7 +1,7 @@
[package] [package]
name = "tantivy-columnar" name = "tantivy-columnar"
version = "0.6.0" version = "0.5.0"
edition = "2024" edition = "2021"
license = "MIT" license = "MIT"
homepage = "https://github.com/quickwit-oss/tantivy" homepage = "https://github.com/quickwit-oss/tantivy"
repository = "https://github.com/quickwit-oss/tantivy" repository = "https://github.com/quickwit-oss/tantivy"
@@ -12,10 +12,10 @@ categories = ["database-implementations", "data-structures", "compression"]
itertools = "0.14.0" itertools = "0.14.0"
fastdivide = "0.4.0" fastdivide = "0.4.0"
stacker = { version= "0.6", path = "../stacker", package="tantivy-stacker"} stacker = { version= "0.5", path = "../stacker", package="tantivy-stacker"}
sstable = { version= "0.6", path = "../sstable", package = "tantivy-sstable" } sstable = { version= "0.5", path = "../sstable", package = "tantivy-sstable" }
common = { version= "0.10", path = "../common", package = "tantivy-common" } common = { version= "0.9", path = "../common", package = "tantivy-common" }
tantivy-bitpacker = { version= "0.9", path = "../bitpacker/" } tantivy-bitpacker = { version= "0.8", path = "../bitpacker/" }
serde = "1.0.152" serde = "1.0.152"
downcast-rs = "2.0.1" downcast-rs = "2.0.1"
@@ -33,29 +33,6 @@ harness = false
name = "bench_access" name = "bench_access"
harness = false harness = false
[[bench]]
name = "bench_first_vals"
harness = false
[[bench]]
name = "bench_values_u64"
harness = false
[[bench]]
name = "bench_values_u128"
harness = false
[[bench]]
name = "bench_create_column_values"
harness = false
[[bench]]
name = "bench_column_values_get"
harness = false
[[bench]]
name = "bench_optional_index"
harness = false
[features] [features]
zstd-compression = ["sstable/zstd-compression"] unstable = []

2
columnar/README.md
View File

@@ -73,7 +73,7 @@ The crate introduces the following concepts.
`Columnar` is an equivalent of a dataframe. `Columnar` is an equivalent of a dataframe.
It maps `column_key` to `Column`. It maps `column_key` to `Column`.
A `Column<T>` associates a `RowId` (u32) to any A `Column<T>` asssociates a `RowId` (u32) to any
number of values. number of values.
This is made possible by wrapping a `ColumnIndex` and a `ColumnValue` object. This is made possible by wrapping a `ColumnIndex` and a `ColumnValue` object.

5
columnar/benches/bench_access.rs
View File

@@ -1,4 +1,4 @@
use binggan::{InputGroup, black_box}; use binggan::{black_box, InputGroup};
use common::*; use common::*;
use tantivy_columnar::Column; use tantivy_columnar::Column;
@@ -19,7 +19,7 @@ fn main() {
let mut add_card = |card1: Card| { let mut add_card = |card1: Card| {
inputs.push(( inputs.push((
card1.to_string(), format!("{card1}"),
generate_columnar_and_open(card1, NUM_DOCS), generate_columnar_and_open(card1, NUM_DOCS),
)); ));
}; };
@@ -50,7 +50,6 @@ fn bench_group(mut runner: InputGroup<Column>) {
let mut buffer = vec![None; BLOCK_SIZE]; let mut buffer = vec![None; BLOCK_SIZE];
for i in (0..NUM_DOCS).step_by(BLOCK_SIZE) { for i in (0..NUM_DOCS).step_by(BLOCK_SIZE) {
// fill docs // fill docs
#[allow(clippy::needless_range_loop)]
for idx in 0..BLOCK_SIZE { for idx in 0..BLOCK_SIZE {
docs[idx] = idx as u32 + i; docs[idx] = idx as u32 + i;
} }

61
columnar/benches/bench_column_values_get.rs
View File

@@ -1,61 +0,0 @@
use std::sync::Arc;
use binggan::{InputGroup, black_box};
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
use tantivy_columnar::ColumnValues;
use tantivy_columnar::column_values::{CodecType, serialize_and_load_u64_based_column_values};
fn get_data() -> Vec<u64> {
let mut rng = StdRng::seed_from_u64(2u64);
let mut data: Vec<_> = (100..55_000_u64)
.map(|num| num + rng.r#gen::<u8>() as u64)
.collect();
data.push(99_000);
data.insert(1000, 2000);
data.insert(2000, 100);
data.insert(3000, 4100);
data.insert(4000, 100);
data.insert(5000, 800);
data
}
#[inline(never)]
fn value_iter() -> impl Iterator<Item = u64> {
0..20_000
}
type Col = Arc<dyn ColumnValues<u64>>;
fn main() {
let data = get_data();
let inputs: Vec<(String, Col)> = vec![
(
"bitpacked".to_string(),
serialize_and_load_u64_based_column_values(&data.as_slice(), &[CodecType::Bitpacked]),
),
(
"linear".to_string(),
serialize_and_load_u64_based_column_values(&data.as_slice(), &[CodecType::Linear]),
),
(
"blockwise_linear".to_string(),
serialize_and_load_u64_based_column_values(
&data.as_slice(),
&[CodecType::BlockwiseLinear],
),
),
];
let mut group: InputGroup<Col> = InputGroup::new_with_inputs(inputs);
group.register("fastfield_get", |col: &Col| {
let mut sum = 0u64;
for pos in value_iter() {
sum = sum.wrapping_add(col.get_val(pos as u32));
}
black_box(sum);
});
group.run();
}

44
columnar/benches/bench_create_column_values.rs
View File

@@ -1,44 +0,0 @@
use binggan::{InputGroup, black_box};
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
use tantivy_columnar::column_values::{CodecType, serialize_u64_based_column_values};
fn get_data() -> Vec<u64> {
let mut rng = StdRng::seed_from_u64(2u64);
let mut data: Vec<_> = (100..55_000_u64)
.map(|num| num + rng.r#gen::<u8>() as u64)
.collect();
data.push(99_000);
data.insert(1000, 2000);
data.insert(2000, 100);
data.insert(3000, 4100);
data.insert(4000, 100);
data.insert(5000, 800);
data
}
fn main() {
let data = get_data();
let mut group: InputGroup<(CodecType, Vec<u64>)> = InputGroup::new_with_inputs(vec![
(
"bitpacked codec".to_string(),
(CodecType::Bitpacked, data.clone()),
),
(
"linear codec".to_string(),
(CodecType::Linear, data.clone()),
),
(
"blockwise linear codec".to_string(),
(CodecType::BlockwiseLinear, data.clone()),
),
]);
group.register("serialize column_values", |data| {
let mut buffer = Vec::new();
serialize_u64_based_column_values(&data.1.as_slice(), &[data.0], &mut buffer).unwrap();
black_box(buffer.len());
});
group.run();
}

107
columnar/benches/bench_first_vals.rs
View File

@@ -1,9 +1,12 @@
#![feature(test)]
extern crate test;
use std::sync::Arc; use std::sync::Arc;
use binggan::{InputGroup, black_box};
use rand::prelude::*; use rand::prelude::*;
use tantivy_columnar::column_values::{CodecType, serialize_and_load_u64_based_column_values}; use tantivy_columnar::column_values::{serialize_and_load_u64_based_column_values, CodecType};
use tantivy_columnar::*; use tantivy_columnar::*;
use test::{black_box, Bencher};
struct Columns { struct Columns {
pub optional: Column, pub optional: Column,
@@ -65,38 +68,88 @@ pub fn serialize_and_load(column: &[u64], codec_type: CodecType) -> Arc<dyn Colu
serialize_and_load_u64_based_column_values(&column, &[codec_type]) serialize_and_load_u64_based_column_values(&column, &[codec_type])
} }
fn main() { fn run_bench_on_column_full_scan(b: &mut Bencher, column: Column) {
let Columns { let num_iter = black_box(NUM_VALUES);
optional, b.iter(|| {
full,
multi,
} = get_test_columns();
let inputs = vec![
("full".to_string(), full),
("optional".to_string(), optional),
("multi".to_string(), multi),
];
let mut group = InputGroup::new_with_inputs(inputs);
group.register("first_full_scan", |column| {
let mut sum = 0u64; let mut sum = 0u64;
for i in 0..NUM_VALUES as u32 { for i in 0..num_iter as u32 {
let val = column.first(i); let val = column.first(i);
sum += val.unwrap_or(0); sum += val.unwrap_or(0);
} }
black_box(sum); sum
}); });
}
group.register("first_block_single_calls", |column| { fn run_bench_on_column_block_fetch(b: &mut Bencher, column: Column) {
let mut block: Vec<Option<u64>> = vec![None; 64]; let mut block: Vec<Option<u64>> = vec![None; 64];
let fetch_docids = (0..64).collect::<Vec<_>>(); let fetch_docids = (0..64).collect::<Vec<_>>();
b.iter(move || {
column.first_vals(&fetch_docids, &mut block);
block[0]
});
}
fn run_bench_on_column_block_single_calls(b: &mut Bencher, column: Column) {
let mut block: Vec<Option<u64>> = vec![None; 64];
let fetch_docids = (0..64).collect::<Vec<_>>();
b.iter(move || {
for i in 0..fetch_docids.len() { for i in 0..fetch_docids.len() {
block[i] = column.first(fetch_docids[i]); block[i] = column.first(fetch_docids[i]);
} }
black_box(block[0]); block[0]
}); });
}
group.run();
/// Column first method
#[bench]
fn bench_get_first_on_full_column_full_scan(b: &mut Bencher) {
let column = get_test_columns().full;
run_bench_on_column_full_scan(b, column);
}
#[bench]
fn bench_get_first_on_optional_column_full_scan(b: &mut Bencher) {
let column = get_test_columns().optional;
run_bench_on_column_full_scan(b, column);
}
#[bench]
fn bench_get_first_on_multi_column_full_scan(b: &mut Bencher) {
let column = get_test_columns().multi;
run_bench_on_column_full_scan(b, column);
}
/// Block fetch column accessor
#[bench]
fn bench_get_block_first_on_optional_column(b: &mut Bencher) {
let column = get_test_columns().optional;
run_bench_on_column_block_fetch(b, column);
}
#[bench]
fn bench_get_block_first_on_multi_column(b: &mut Bencher) {
let column = get_test_columns().multi;
run_bench_on_column_block_fetch(b, column);
}
#[bench]
fn bench_get_block_first_on_full_column(b: &mut Bencher) {
let column = get_test_columns().full;
run_bench_on_column_block_fetch(b, column);
}
#[bench]
fn bench_get_block_first_on_optional_column_single_calls(b: &mut Bencher) {
let column = get_test_columns().optional;
run_bench_on_column_block_single_calls(b, column);
}
#[bench]
fn bench_get_block_first_on_multi_column_single_calls(b: &mut Bencher) {
let column = get_test_columns().multi;
run_bench_on_column_block_single_calls(b, column);
}
#[bench]
fn bench_get_block_first_on_full_column_single_calls(b: &mut Bencher) {
let column = get_test_columns().full;
run_bench_on_column_block_single_calls(b, column);
} }

2
columnar/benches/bench_merge.rs
View File

@@ -1,7 +1,7 @@
pub mod common; pub mod common;
use binggan::BenchRunner; use binggan::BenchRunner;
use common::{Card, generate_columnar_with_name}; use common::{generate_columnar_with_name, Card};
use tantivy_columnar::*; use tantivy_columnar::*;
const NUM_DOCS: u32 = 100_000; const NUM_DOCS: u32 = 100_000;

106
columnar/benches/bench_optional_index.rs
View File

@@ -1,106 +0,0 @@
use binggan::{InputGroup, black_box};
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
use tantivy_columnar::column_index::{OptionalIndex, Set};
const TOTAL_NUM_VALUES: u32 = 1_000_000;
fn gen_optional_index(fill_ratio: f64) -> OptionalIndex {
let mut rng: StdRng = StdRng::from_seed([1u8; 32]);
let vals: Vec<u32> = (0..TOTAL_NUM_VALUES)
.map(|_| rng.gen_bool(fill_ratio))
.enumerate()
.filter(|(_pos, val)| *val)
.map(|(pos, _)| pos as u32)
.collect();
OptionalIndex::for_test(TOTAL_NUM_VALUES, &vals)
}
fn random_range_iterator(
start: u32,
end: u32,
avg_step_size: u32,
avg_deviation: u32,
) -> impl Iterator<Item = u32> {
let mut rng: StdRng = StdRng::from_seed([1u8; 32]);
let mut current = start;
std::iter::from_fn(move || {
current += rng.gen_range(avg_step_size - avg_deviation..=avg_step_size + avg_deviation);
if current >= end { None } else { Some(current) }
})
}
fn n_percent_step_iterator(percent: f32, num_values: u32) -> impl Iterator<Item = u32> {
let ratio = percent / 100.0;
let step_size = (1f32 / ratio) as u32;
let deviation = step_size - 1;
random_range_iterator(0, num_values, step_size, deviation)
}
fn walk_over_data(codec: &OptionalIndex, avg_step_size: u32) -> Option<u32> {
walk_over_data_from_positions(
codec,
random_range_iterator(0, TOTAL_NUM_VALUES, avg_step_size, 0),
)
}
fn walk_over_data_from_positions(
codec: &OptionalIndex,
positions: impl Iterator<Item = u32>,
) -> Option<u32> {
let mut dense_idx: Option<u32> = None;
for idx in positions {
dense_idx = dense_idx.or(codec.rank_if_exists(idx));
}
dense_idx
}
fn main() {
// Build separate inputs for each fill ratio.
let inputs: Vec<(String, OptionalIndex)> = vec![
("fill=1%".to_string(), gen_optional_index(0.01)),
("fill=5%".to_string(), gen_optional_index(0.05)),
("fill=10%".to_string(), gen_optional_index(0.10)),
("fill=50%".to_string(), gen_optional_index(0.50)),
("fill=90%".to_string(), gen_optional_index(0.90)),
];
let mut group: InputGroup<OptionalIndex> = InputGroup::new_with_inputs(inputs);
// Translate orig->codec (rank_if_exists) with sampling
group.register("orig_to_codec_10pct_hit", |codec: &OptionalIndex| {
black_box(walk_over_data(codec, 100));
});
group.register("orig_to_codec_1pct_hit", |codec: &OptionalIndex| {
black_box(walk_over_data(codec, 1000));
});
group.register("orig_to_codec_full_scan", |codec: &OptionalIndex| {
black_box(walk_over_data_from_positions(codec, 0..TOTAL_NUM_VALUES));
});
// Translate codec->orig (select/select_batch) on sampled ranks
fn bench_translate_codec_to_orig_util(codec: &OptionalIndex, percent_hit: f32) {
let num_non_nulls = codec.num_non_nulls();
let idxs: Vec<u32> = if percent_hit == 100.0f32 {
(0..num_non_nulls).collect()
} else {
n_percent_step_iterator(percent_hit, num_non_nulls).collect()
};
let mut output = vec![0u32; idxs.len()];
output.copy_from_slice(&idxs[..]);
codec.select_batch(&mut output);
black_box(output);
}
group.register("codec_to_orig_0.005pct_hit", |codec: &OptionalIndex| {
bench_translate_codec_to_orig_util(codec, 0.005);
});
group.register("codec_to_orig_10pct_hit", |codec: &OptionalIndex| {
bench_translate_codec_to_orig_util(codec, 10.0);
});
group.register("codec_to_orig_full_scan", |codec: &OptionalIndex| {
bench_translate_codec_to_orig_util(codec, 100.0);
});
group.run();
}

112
columnar/benches/bench_values_u128.rs
View File

@@ -1,12 +1,15 @@
#![feature(test)]
use std::ops::RangeInclusive; use std::ops::RangeInclusive;
use std::sync::Arc; use std::sync::Arc;
use binggan::{InputGroup, black_box};
use common::OwnedBytes; use common::OwnedBytes;
use rand::rngs::StdRng; use rand::rngs::StdRng;
use rand::seq::SliceRandom; use rand::seq::SliceRandom;
use rand::{Rng, SeedableRng, random}; use rand::{random, Rng, SeedableRng};
use tantivy_columnar::ColumnValues; use tantivy_columnar::ColumnValues;
use test::Bencher;
extern crate test;
// TODO does this make sense for IPv6 ? // TODO does this make sense for IPv6 ?
fn generate_random() -> Vec<u64> { fn generate_random() -> Vec<u64> {
@@ -44,77 +47,78 @@ fn get_data_50percent_item() -> Vec<u128> {
} }
data.push(SINGLE_ITEM); data.push(SINGLE_ITEM);
data.shuffle(&mut rng); data.shuffle(&mut rng);
data.iter().map(|el| *el as u128).collect::<Vec<_>>() let data = data.iter().map(|el| *el as u128).collect::<Vec<_>>();
data
} }
fn main() { #[bench]
fn bench_intfastfield_getrange_u128_50percent_hit(b: &mut Bencher) {
let data = get_data_50percent_item(); let data = get_data_50percent_item();
let column_range = get_u128_column_from_data(&data); let column = get_u128_column_from_data(&data);
let column_random = get_u128_column_random();
struct Inputs { b.iter(|| {
data: Vec<u128>,
column_range: Arc<dyn ColumnValues<u128>>,
column_random: Arc<dyn ColumnValues<u128>>,
}
let inputs = Inputs {
data,
column_range,
column_random,
};
let mut group: InputGroup<Inputs> =
InputGroup::new_with_inputs(vec![("u128 benches".to_string(), inputs)]);
group.register(
"intfastfield_getrange_u128_50percent_hit",
|inp: &Inputs| {
let mut positions = Vec::new();
inp.column_range.get_row_ids_for_value_range(
*FIFTY_PERCENT_RANGE.start() as u128..=*FIFTY_PERCENT_RANGE.end() as u128,
0..inp.data.len() as u32,
&mut positions,
);
black_box(positions.len());
},
);
group.register("intfastfield_getrange_u128_single_hit", |inp: &Inputs| {
let mut positions = Vec::new(); let mut positions = Vec::new();
inp.column_range.get_row_ids_for_value_range( column.get_row_ids_for_value_range(
*FIFTY_PERCENT_RANGE.start() as u128..=*FIFTY_PERCENT_RANGE.end() as u128,
0..data.len() as u32,
&mut positions,
);
positions
});
}
#[bench]
fn bench_intfastfield_getrange_u128_single_hit(b: &mut Bencher) {
let data = get_data_50percent_item();
let column = get_u128_column_from_data(&data);
b.iter(|| {
let mut positions = Vec::new();
column.get_row_ids_for_value_range(
*SINGLE_ITEM_RANGE.start() as u128..=*SINGLE_ITEM_RANGE.end() as u128, *SINGLE_ITEM_RANGE.start() as u128..=*SINGLE_ITEM_RANGE.end() as u128,
0..inp.data.len() as u32, 0..data.len() as u32,
&mut positions, &mut positions,
); );
black_box(positions.len()); positions
}); });
}
group.register("intfastfield_getrange_u128_hit_all", |inp: &Inputs| { #[bench]
fn bench_intfastfield_getrange_u128_hit_all(b: &mut Bencher) {
let data = get_data_50percent_item();
let column = get_u128_column_from_data(&data);
b.iter(|| {
let mut positions = Vec::new(); let mut positions = Vec::new();
inp.column_range.get_row_ids_for_value_range( column.get_row_ids_for_value_range(0..=u128::MAX, 0..data.len() as u32, &mut positions);
0..=u128::MAX, positions
0..inp.data.len() as u32,
&mut positions,
);
black_box(positions.len());
}); });
}
// U128 RANGE END
group.register("intfastfield_scan_all_fflookup_u128", |inp: &Inputs| { #[bench]
fn bench_intfastfield_scan_all_fflookup_u128(b: &mut Bencher) {
let column = get_u128_column_random();
b.iter(|| {
let mut a = 0u128; let mut a = 0u128;
for i in 0u64..inp.column_random.num_vals() as u64 { for i in 0u64..column.num_vals() as u64 {
a += inp.column_random.get_val(i as u32); a += column.get_val(i as u32);
} }
black_box(a); a
}); });
}
group.register("intfastfield_jumpy_stride5_u128", |inp: &Inputs| { #[bench]
let n = inp.column_random.num_vals(); fn bench_intfastfield_jumpy_stride5_u128(b: &mut Bencher) {
let column = get_u128_column_random();
b.iter(|| {
let n = column.num_vals();
let mut a = 0u128; let mut a = 0u128;
for i in (0..n / 5).map(|val| val * 5) { for i in (0..n / 5).map(|val| val * 5) {
a += inp.column_random.get_val(i); a += column.get_val(i);
} }
black_box(a); a
}); });
group.run();
} }

246
columnar/benches/bench_values_u64.rs
View File

@@ -1,10 +1,13 @@
#![feature(test)]
extern crate test;
use std::ops::RangeInclusive; use std::ops::RangeInclusive;
use std::sync::Arc; use std::sync::Arc;
use binggan::{InputGroup, black_box};
use rand::prelude::*; use rand::prelude::*;
use tantivy_columnar::column_values::{CodecType, serialize_and_load_u64_based_column_values}; use tantivy_columnar::column_values::{serialize_and_load_u64_based_column_values, CodecType};
use tantivy_columnar::*; use tantivy_columnar::*;
use test::Bencher;
// Warning: this generates the same permutation at each call // Warning: this generates the same permutation at each call
fn generate_permutation() -> Vec<u64> { fn generate_permutation() -> Vec<u64> {
@@ -24,11 +27,37 @@ pub fn serialize_and_load(column: &[u64], codec_type: CodecType) -> Arc<dyn Colu
serialize_and_load_u64_based_column_values(&column, &[codec_type]) serialize_and_load_u64_based_column_values(&column, &[codec_type])
} }
#[bench]
fn bench_intfastfield_jumpy_veclookup(b: &mut Bencher) {
let permutation = generate_permutation();
let n = permutation.len();
b.iter(|| {
let mut a = 0u64;
for _ in 0..n {
a = permutation[a as usize];
}
a
});
}
#[bench]
fn bench_intfastfield_jumpy_fflookup_bitpacked(b: &mut Bencher) {
let permutation = generate_permutation();
let n = permutation.len();
let column: Arc<dyn ColumnValues<u64>> = serialize_and_load(&permutation, CodecType::Bitpacked);
b.iter(|| {
let mut a = 0u64;
for _ in 0..n {
a = column.get_val(a as u32);
}
a
});
}
const FIFTY_PERCENT_RANGE: RangeInclusive<u64> = 1..=50; const FIFTY_PERCENT_RANGE: RangeInclusive<u64> = 1..=50;
const SINGLE_ITEM: u64 = 90; const SINGLE_ITEM: u64 = 90;
const SINGLE_ITEM_RANGE: RangeInclusive<u64> = 90..=90; const SINGLE_ITEM_RANGE: RangeInclusive<u64> = 90..=90;
const ONE_PERCENT_ITEM_RANGE: RangeInclusive<u64> = 49..=49; const ONE_PERCENT_ITEM_RANGE: RangeInclusive<u64> = 49..=49;
fn get_data_50percent_item() -> Vec<u128> { fn get_data_50percent_item() -> Vec<u128> {
let mut rng = StdRng::from_seed([1u8; 32]); let mut rng = StdRng::from_seed([1u8; 32]);
@@ -40,122 +69,135 @@ fn get_data_50percent_item() -> Vec<u128> {
data.push(SINGLE_ITEM); data.push(SINGLE_ITEM);
data.shuffle(&mut rng); data.shuffle(&mut rng);
data.iter().map(|el| *el as u128).collect::<Vec<_>>() let data = data.iter().map(|el| *el as u128).collect::<Vec<_>>();
data
} }
type VecCol = (Vec<u64>, Arc<dyn ColumnValues<u64>>); // U64 RANGE START
#[bench]
fn bench_intfastfield_getrange_u64_50percent_hit(b: &mut Bencher) {
let data = get_data_50percent_item();
let data = data.iter().map(|el| *el as u64).collect::<Vec<_>>();
let column: Arc<dyn ColumnValues<u64>> = serialize_and_load(&data, CodecType::Bitpacked);
b.iter(|| {
let mut positions = Vec::new();
column.get_row_ids_for_value_range(
FIFTY_PERCENT_RANGE,
0..data.len() as u32,
&mut positions,
);
positions
});
}
fn bench_access() { #[bench]
fn bench_intfastfield_getrange_u64_1percent_hit(b: &mut Bencher) {
let data = get_data_50percent_item();
let data = data.iter().map(|el| *el as u64).collect::<Vec<_>>();
let column: Arc<dyn ColumnValues<u64>> = serialize_and_load(&data, CodecType::Bitpacked);
b.iter(|| {
let mut positions = Vec::new();
column.get_row_ids_for_value_range(
ONE_PERCENT_ITEM_RANGE,
0..data.len() as u32,
&mut positions,
);
positions
});
}
#[bench]
fn bench_intfastfield_getrange_u64_single_hit(b: &mut Bencher) {
let data = get_data_50percent_item();
let data = data.iter().map(|el| *el as u64).collect::<Vec<_>>();
let column: Arc<dyn ColumnValues<u64>> = serialize_and_load(&data, CodecType::Bitpacked);
b.iter(|| {
let mut positions = Vec::new();
column.get_row_ids_for_value_range(SINGLE_ITEM_RANGE, 0..data.len() as u32, &mut positions);
positions
});
}
#[bench]
fn bench_intfastfield_getrange_u64_hit_all(b: &mut Bencher) {
let data = get_data_50percent_item();
let data = data.iter().map(|el| *el as u64).collect::<Vec<_>>();
let column: Arc<dyn ColumnValues<u64>> = serialize_and_load(&data, CodecType::Bitpacked);
b.iter(|| {
let mut positions = Vec::new();
column.get_row_ids_for_value_range(0..=u64::MAX, 0..data.len() as u32, &mut positions);
positions
});
}
// U64 RANGE END
#[bench]
fn bench_intfastfield_stride7_vec(b: &mut Bencher) {
let permutation = generate_permutation(); let permutation = generate_permutation();
let column_perm: Arc<dyn ColumnValues<u64>> = let n = permutation.len();
serialize_and_load(&permutation, CodecType::Bitpacked); b.iter(|| {
let permutation_gcd = generate_permutation_gcd();
let column_perm_gcd: Arc<dyn ColumnValues<u64>> =
serialize_and_load(&permutation_gcd, CodecType::Bitpacked);
let mut group: InputGroup<VecCol> = InputGroup::new_with_inputs(vec![
(
"access".to_string(),
(permutation.clone(), column_perm.clone()),
),
(
"access_gcd".to_string(),
(permutation_gcd.clone(), column_perm_gcd.clone()),
),
]);
group.register("stride7_vec", |inp: &VecCol| {
let n = inp.0.len();
let mut a = 0u64; let mut a = 0u64;
for i in (0..n / 7).map(|val| val * 7) { for i in (0..n / 7).map(|val| val * 7) {
a += inp.0[i]; a += permutation[i as usize];
} }
black_box(a); a
}); });
}
group.register("fullscan_vec", |inp: &VecCol| { #[bench]
let mut a = 0u64; fn bench_intfastfield_stride7_fflookup(b: &mut Bencher) {
for i in 0..inp.0.len() { let permutation = generate_permutation();
a += inp.0[i]; let n = permutation.len();
} let column: Arc<dyn ColumnValues<u64>> = serialize_and_load(&permutation, CodecType::Bitpacked);
black_box(a); b.iter(|| {
}); let mut a = 0;
group.register("stride7_column_values", |inp: &VecCol| {
let n = inp.1.num_vals() as usize;
let mut a = 0u64;
for i in (0..n / 7).map(|val| val * 7) { for i in (0..n / 7).map(|val| val * 7) {
a += inp.1.get_val(i as u32); a += column.get_val(i as u32);
} }
black_box(a); a
}); });
}
group.register("fullscan_column_values", |inp: &VecCol| { #[bench]
fn bench_intfastfield_scan_all_fflookup(b: &mut Bencher) {
let permutation = generate_permutation();
let n = permutation.len();
let column: Arc<dyn ColumnValues<u64>> = serialize_and_load(&permutation, CodecType::Bitpacked);
let column_ref = column.as_ref();
b.iter(|| {
let mut a = 0u64;
for i in 0u32..n as u32 {
a += column_ref.get_val(i);
}
a
});
}
#[bench]
fn bench_intfastfield_scan_all_fflookup_gcd(b: &mut Bencher) {
let permutation = generate_permutation_gcd();
let n = permutation.len();
let column: Arc<dyn ColumnValues<u64>> = serialize_and_load(&permutation, CodecType::Bitpacked);
b.iter(|| {
let mut a = 0u64; let mut a = 0u64;
let n = inp.1.num_vals() as usize;
for i in 0..n { for i in 0..n {
a += inp.1.get_val(i as u32); a += column.get_val(i as u32);
} }
black_box(a); a
}); });
group.run();
} }
fn bench_range() { #[bench]
let data_50 = get_data_50percent_item(); fn bench_intfastfield_scan_all_vec(b: &mut Bencher) {
let data_u64 = data_50.iter().map(|el| *el as u64).collect::<Vec<_>>(); let permutation = generate_permutation();
let column_data: Arc<dyn ColumnValues<u64>> = b.iter(|| {
serialize_and_load(&data_u64, CodecType::Bitpacked); let mut a = 0u64;
for i in 0..permutation.len() {
let mut group: InputGroup<Arc<dyn ColumnValues<u64>>> = a += permutation[i as usize] as u64;
InputGroup::new_with_inputs(vec![("dist_50pct_item".to_string(), column_data.clone())]); }
a
group.register( });
"fastfield_getrange_u64_50percent_hit",
|col: &Arc<dyn ColumnValues<u64>>| {
let mut positions = Vec::new();
col.get_row_ids_for_value_range(FIFTY_PERCENT_RANGE, 0..col.num_vals(), &mut positions);
black_box(positions.len());
},
);
group.register(
"fastfield_getrange_u64_1percent_hit",
|col: &Arc<dyn ColumnValues<u64>>| {
let mut positions = Vec::new();
col.get_row_ids_for_value_range(
ONE_PERCENT_ITEM_RANGE,
0..col.num_vals(),
&mut positions,
);
black_box(positions.len());
},
);
group.register(
"fastfield_getrange_u64_single_hit",
|col: &Arc<dyn ColumnValues<u64>>| {
let mut positions = Vec::new();
col.get_row_ids_for_value_range(SINGLE_ITEM_RANGE, 0..col.num_vals(), &mut positions);
black_box(positions.len());
},
);
group.register(
"fastfield_getrange_u64_hit_all",
|col: &Arc<dyn ColumnValues<u64>>| {
let mut positions = Vec::new();
col.get_row_ids_for_value_range(0..=u64::MAX, 0..col.num_vals(), &mut positions);
black_box(positions.len());
},
);
group.run();
}
fn main() {
bench_access();
bench_range();
} }

12
columnar/src/block_accessor.rs
View File

@@ -29,20 +29,12 @@ impl<T: PartialOrd + Copy + std::fmt::Debug + Send + Sync + 'static + Default>
} }
} }
#[inline] #[inline]
pub fn fetch_block_with_missing( pub fn fetch_block_with_missing(&mut self, docs: &[u32], accessor: &Column<T>, missing: T) {
&mut self,
docs: &[u32],
accessor: &Column<T>,
missing: Option<T>,
) {
self.fetch_block(docs, accessor); self.fetch_block(docs, accessor);
// no missing values // no missing values
if accessor.index.get_cardinality().is_full() { if accessor.index.get_cardinality().is_full() {
return; return;
} }
let Some(missing) = missing else {
return;
};
// We can compare docid_cache length with docs to find missing docs // We can compare docid_cache length with docs to find missing docs
// For multi value columns we can't rely on the length and always need to scan // For multi value columns we can't rely on the length and always need to scan
@@ -74,7 +66,7 @@ impl<T: PartialOrd + Copy + std::fmt::Debug + Send + Sync + 'static + Default>
&'a self, &'a self,
docs: &'a [u32], docs: &'a [u32],
accessor: &Column<T>, accessor: &Column<T>,
) -> impl Iterator<Item = (DocId, T)> + 'a + use<'a, T> { ) -> impl Iterator<Item = (DocId, T)> + 'a {
if accessor.index.get_cardinality().is_full() { if accessor.index.get_cardinality().is_full() {
docs.iter().cloned().zip(self.val_cache.iter().cloned()) docs.iter().cloned().zip(self.val_cache.iter().cloned())
} else { } else {

2
columnar/src/column/dictionary_encoded.rs
View File

@@ -4,8 +4,8 @@ use std::{fmt, io};
use sstable::{Dictionary, VoidSSTable}; use sstable::{Dictionary, VoidSSTable};
use crate::RowId;
use crate::column::Column; use crate::column::Column;
use crate::RowId;
/// Dictionary encoded column. /// Dictionary encoded column.
/// ///

24
columnar/src/column/mod.rs
View File

@@ -9,14 +9,13 @@ use std::sync::Arc;
use common::BinarySerializable; use common::BinarySerializable;
pub use dictionary_encoded::{BytesColumn, StrColumn}; pub use dictionary_encoded::{BytesColumn, StrColumn};
pub use serialize::{ pub use serialize::{
open_column_bytes, open_column_str, open_column_u64, open_column_u128, open_column_bytes, open_column_str, open_column_u128, open_column_u128_as_compact_u64,
open_column_u128_as_compact_u64, serialize_column_mappable_to_u64, open_column_u64, serialize_column_mappable_to_u128, serialize_column_mappable_to_u64,
serialize_column_mappable_to_u128,
}; };
use crate::column_index::{ColumnIndex, Set}; use crate::column_index::{ColumnIndex, Set};
use crate::column_values::monotonic_mapping::StrictlyMonotonicMappingToInternal; use crate::column_values::monotonic_mapping::StrictlyMonotonicMappingToInternal;
use crate::column_values::{ColumnValues, monotonic_map_column}; use crate::column_values::{monotonic_map_column, ColumnValues};
use crate::{Cardinality, DocId, EmptyColumnValues, MonotonicallyMappableToU64, RowId}; use crate::{Cardinality, DocId, EmptyColumnValues, MonotonicallyMappableToU64, RowId};
#[derive(Clone)] #[derive(Clone)]
@@ -85,8 +84,8 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
} }
#[inline] #[inline]
pub fn first(&self, doc_id: DocId) -> Option<T> { pub fn first(&self, row_id: RowId) -> Option<T> {
self.values_for_doc(doc_id).next() self.values_for_doc(row_id).next()
} }
/// Load the first value for each docid in the provided slice. /// Load the first value for each docid in the provided slice.
@@ -114,7 +113,7 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
} }
} }
/// Translates a block of docids to row_ids. /// Translates a block of docis to row_ids.
/// ///
/// returns the row_ids and the matching docids on the same index /// returns the row_ids and the matching docids on the same index
/// e.g. /// e.g.
@@ -131,8 +130,6 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
self.index.docids_to_rowids(doc_ids, doc_ids_out, row_ids) self.index.docids_to_rowids(doc_ids, doc_ids_out, row_ids)
} }
/// Get an iterator over the values for the provided docid.
#[inline]
pub fn values_for_doc(&self, doc_id: DocId) -> impl Iterator<Item = T> + '_ { pub fn values_for_doc(&self, doc_id: DocId) -> impl Iterator<Item = T> + '_ {
self.index self.index
.value_row_ids(doc_id) .value_row_ids(doc_id)
@@ -160,6 +157,15 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
.select_batch_in_place(selected_docid_range.start, doc_ids); .select_batch_in_place(selected_docid_range.start, doc_ids);
} }
/// Fills the output vector with the (possibly multiple values that are associated_with
/// `row_id`.
///
/// This method clears the `output` vector.
pub fn fill_vals(&self, row_id: RowId, output: &mut Vec<T>) {
output.clear();
output.extend(self.values_for_doc(row_id));
}
pub fn first_or_default_col(self, default_value: T) -> Arc<dyn ColumnValues<T>> { pub fn first_or_default_col(self, default_value: T) -> Arc<dyn ColumnValues<T>> {
Arc::new(FirstValueWithDefault { Arc::new(FirstValueWithDefault {
column: self, column: self,

4
columnar/src/column/serialize.rs
View File

@@ -6,10 +6,10 @@ use common::OwnedBytes;
use sstable::Dictionary; use sstable::Dictionary;
use crate::column::{BytesColumn, Column}; use crate::column::{BytesColumn, Column};
use crate::column_index::{SerializableColumnIndex, serialize_column_index}; use crate::column_index::{serialize_column_index, SerializableColumnIndex};
use crate::column_values::{ use crate::column_values::{
CodecType, MonotonicallyMappableToU64, MonotonicallyMappableToU128,
load_u64_based_column_values, serialize_column_values_u128, serialize_u64_based_column_values, load_u64_based_column_values, serialize_column_values_u128, serialize_u64_based_column_values,
CodecType, MonotonicallyMappableToU128, MonotonicallyMappableToU64,
}; };
use crate::iterable::Iterable; use crate::iterable::Iterable;
use crate::{StrColumn, Version}; use crate::{StrColumn, Version};

4
columnar/src/column_index/merge/mod.rs
View File

@@ -99,9 +99,9 @@ mod tests {
use crate::column_index::merge::detect_cardinality; use crate::column_index::merge::detect_cardinality;
use crate::column_index::multivalued_index::{ use crate::column_index::multivalued_index::{
MultiValueIndex, open_multivalued_index, serialize_multivalued_index, open_multivalued_index, serialize_multivalued_index, MultiValueIndex,
}; };
use crate::column_index::{OptionalIndex, SerializableColumnIndex, merge_column_index}; use crate::column_index::{merge_column_index, OptionalIndex, SerializableColumnIndex};
use crate::{ use crate::{
Cardinality, ColumnIndex, MergeRowOrder, RowAddr, RowId, ShuffleMergeOrder, StackMergeOrder, Cardinality, ColumnIndex, MergeRowOrder, RowAddr, RowId, ShuffleMergeOrder, StackMergeOrder,
}; };

2
columnar/src/column_index/merge/shuffled.rs
View File

@@ -137,8 +137,8 @@ impl Iterable<u32> for ShuffledMultivaluedIndex<'_> {
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use super::*; use super::*;
use crate::RowAddr;
use crate::column_index::OptionalIndex; use crate::column_index::OptionalIndex;
use crate::RowAddr;
#[test] #[test]
fn test_integrate_num_vals_empty() { fn test_integrate_num_vals_empty() {

17
columnar/src/column_index/merge/stacked.rs
View File

@@ -1,8 +1,8 @@
use std::ops::Range; use std::ops::Range;
use crate::column_index::SerializableColumnIndex;
use crate::column_index::multivalued_index::{MultiValueIndex, SerializableMultivalueIndex}; use crate::column_index::multivalued_index::{MultiValueIndex, SerializableMultivalueIndex};
use crate::column_index::serialize::SerializableOptionalIndex; use crate::column_index::serialize::SerializableOptionalIndex;
use crate::column_index::SerializableColumnIndex;
use crate::iterable::Iterable; use crate::iterable::Iterable;
use crate::{Cardinality, ColumnIndex, RowId, StackMergeOrder}; use crate::{Cardinality, ColumnIndex, RowId, StackMergeOrder};
@@ -56,7 +56,7 @@ fn get_doc_ids_with_values<'a>(
ColumnIndex::Full => Box::new(doc_range), ColumnIndex::Full => Box::new(doc_range),
ColumnIndex::Optional(optional_index) => Box::new( ColumnIndex::Optional(optional_index) => Box::new(
optional_index optional_index
.iter_non_null_docs() .iter_docs()
.map(move |row| row + doc_range.start), .map(move |row| row + doc_range.start),
), ),
ColumnIndex::Multivalued(multivalued_index) => match multivalued_index { ColumnIndex::Multivalued(multivalued_index) => match multivalued_index {
@@ -73,7 +73,7 @@ fn get_doc_ids_with_values<'a>(
MultiValueIndex::MultiValueIndexV2(multivalued_index) => Box::new( MultiValueIndex::MultiValueIndexV2(multivalued_index) => Box::new(
multivalued_index multivalued_index
.optional_index .optional_index
.iter_non_null_docs() .iter_docs()
.map(move |row| row + doc_range.start), .map(move |row| row + doc_range.start),
), ),
}, },
@@ -105,11 +105,10 @@ fn get_num_values_iterator<'a>(
) -> Box<dyn Iterator<Item = u32> + 'a> { ) -> Box<dyn Iterator<Item = u32> + 'a> {
match column_index { match column_index {
ColumnIndex::Empty { .. } => Box::new(std::iter::empty()), ColumnIndex::Empty { .. } => Box::new(std::iter::empty()),
ColumnIndex::Full => Box::new(std::iter::repeat_n(1u32, num_docs as usize)), ColumnIndex::Full => Box::new(std::iter::repeat(1u32).take(num_docs as usize)),
ColumnIndex::Optional(optional_index) => Box::new(std::iter::repeat_n( ColumnIndex::Optional(optional_index) => {
1u32, Box::new(std::iter::repeat(1u32).take(optional_index.num_non_nulls() as usize))
optional_index.num_non_nulls() as usize, }
)),
ColumnIndex::Multivalued(multivalued_index) => Box::new( ColumnIndex::Multivalued(multivalued_index) => Box::new(
multivalued_index multivalued_index
.get_start_index_column() .get_start_index_column()
@@ -178,7 +177,7 @@ impl<'a> Iterable<RowId> for StackedOptionalIndex<'a> {
ColumnIndex::Full => Box::new(columnar_row_range), ColumnIndex::Full => Box::new(columnar_row_range),
ColumnIndex::Optional(optional_index) => Box::new( ColumnIndex::Optional(optional_index) => Box::new(
optional_index optional_index
.iter_non_null_docs() .iter_docs()
.map(move |row_id: RowId| columnar_row_range.start + row_id), .map(move |row_id: RowId| columnar_row_range.start + row_id),
), ),
ColumnIndex::Multivalued(_) => { ColumnIndex::Multivalued(_) => {

2
columnar/src/column_index/mod.rs
View File

@@ -14,7 +14,7 @@ pub use merge::merge_column_index;
pub(crate) use multivalued_index::SerializableMultivalueIndex; pub(crate) use multivalued_index::SerializableMultivalueIndex;
pub use optional_index::{OptionalIndex, Set}; pub use optional_index::{OptionalIndex, Set};
pub use serialize::{ pub use serialize::{
SerializableColumnIndex, SerializableOptionalIndex, open_column_index, serialize_column_index, open_column_index, serialize_column_index, SerializableColumnIndex, SerializableOptionalIndex,
}; };
use crate::column_index::multivalued_index::MultiValueIndex; use crate::column_index::multivalued_index::MultiValueIndex;

28
columnar/src/column_index/multivalued_index.rs
View File

@@ -8,7 +8,7 @@ use common::{CountingWriter, OwnedBytes};
use super::optional_index::{open_optional_index, serialize_optional_index}; use super::optional_index::{open_optional_index, serialize_optional_index};
use super::{OptionalIndex, SerializableOptionalIndex, Set}; use super::{OptionalIndex, SerializableOptionalIndex, Set};
use crate::column_values::{ use crate::column_values::{
CodecType, ColumnValues, load_u64_based_column_values, serialize_u64_based_column_values, load_u64_based_column_values, serialize_u64_based_column_values, CodecType, ColumnValues,
}; };
use crate::iterable::Iterable; use crate::iterable::Iterable;
use crate::{DocId, RowId, Version}; use crate::{DocId, RowId, Version};
@@ -215,32 +215,6 @@ impl MultiValueIndex {
} }
} }
/// Returns an iterator over document ids that have at least one value.
pub fn iter_non_null_docs(&self) -> Box<dyn Iterator<Item = DocId> + '_> {
match self {
MultiValueIndex::MultiValueIndexV1(idx) => {
let mut doc: DocId = 0u32;
let num_docs = idx.num_docs();
Box::new(std::iter::from_fn(move || {
// This is not the most efficient way to do this, but it's legacy code.
while doc < num_docs {
let cur = doc;
doc += 1;
let start = idx.start_index_column.get_val(cur);
let end = idx.start_index_column.get_val(cur + 1);
if end > start {
return Some(cur);
}
}
None
}))
}
MultiValueIndex::MultiValueIndexV2(idx) => {
Box::new(idx.optional_index.iter_non_null_docs())
}
}
}
/// Converts a list of ranks (row ids of values) in a 1:n index to the corresponding list of /// Converts a list of ranks (row ids of values) in a 1:n index to the corresponding list of
/// docids. Positions are converted inplace to docids. /// docids. Positions are converted inplace to docids.
/// ///

57
columnar/src/column_index/optional_index/mod.rs
View File

@@ -1,4 +1,4 @@
use std::io; use std::io::{self, Write};
use std::sync::Arc; use std::sync::Arc;
mod set; mod set;
@@ -7,11 +7,11 @@ mod set_block;
use common::{BinarySerializable, OwnedBytes, VInt}; use common::{BinarySerializable, OwnedBytes, VInt};
pub use set::{SelectCursor, Set, SetCodec}; pub use set::{SelectCursor, Set, SetCodec};
use set_block::{ use set_block::{
DENSE_BLOCK_NUM_BYTES, DenseBlock, DenseBlockCodec, SparseBlock, SparseBlockCodec, DenseBlock, DenseBlockCodec, SparseBlock, SparseBlockCodec, DENSE_BLOCK_NUM_BYTES,
}; };
use crate::iterable::Iterable; use crate::iterable::Iterable;
use crate::{DocId, RowId}; use crate::{DocId, InvalidData, RowId};
/// The threshold for for number of elements after which we switch to dense block encoding. /// The threshold for for number of elements after which we switch to dense block encoding.
/// ///
@@ -88,7 +88,7 @@ pub struct OptionalIndex {
impl Iterable<u32> for &OptionalIndex { impl Iterable<u32> for &OptionalIndex {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> { fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
Box::new(self.iter_non_null_docs()) Box::new(self.iter_docs())
} }
} }
@@ -259,13 +259,11 @@ impl Set<RowId> for OptionalIndex {
impl OptionalIndex { impl OptionalIndex {
pub fn for_test(num_rows: RowId, row_ids: &[RowId]) -> OptionalIndex { pub fn for_test(num_rows: RowId, row_ids: &[RowId]) -> OptionalIndex {
assert!( assert!(row_ids
row_ids .last()
.last() .copied()
.copied() .map(|last_row_id| last_row_id < num_rows)
.map(|last_row_id| last_row_id < num_rows) .unwrap_or(true));
.unwrap_or(true)
);
let mut buffer = Vec::new(); let mut buffer = Vec::new();
serialize_optional_index(&row_ids, num_rows, &mut buffer).unwrap(); serialize_optional_index(&row_ids, num_rows, &mut buffer).unwrap();
let bytes = OwnedBytes::new(buffer); let bytes = OwnedBytes::new(buffer);
@@ -280,9 +278,8 @@ impl OptionalIndex {
self.num_non_null_docs self.num_non_null_docs
} }
pub fn iter_non_null_docs(&self) -> impl Iterator<Item = RowId> + '_ { pub fn iter_docs(&self) -> impl Iterator<Item = RowId> + '_ {
// TODO optimize. We could iterate over the blocks directly. // TODO optimize
// We use the dense value ids and retrieve the doc ids via select.
let mut select_batch = self.select_cursor(); let mut select_batch = self.select_cursor();
(0..self.num_non_null_docs).map(move |rank| select_batch.select(rank)) (0..self.num_non_null_docs).map(move |rank| select_batch.select(rank))
} }
@@ -335,6 +332,38 @@ enum Block<'a> {
Sparse(SparseBlock<'a>), Sparse(SparseBlock<'a>),
} }
#[derive(Debug, Copy, Clone)]
enum OptionalIndexCodec {
Dense = 0,
Sparse = 1,
}
impl OptionalIndexCodec {
fn to_code(self) -> u8 {
self as u8
}
fn try_from_code(code: u8) -> Result<Self, InvalidData> {
match code {
0 => Ok(Self::Dense),
1 => Ok(Self::Sparse),
_ => Err(InvalidData),
}
}
}
impl BinarySerializable for OptionalIndexCodec {
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> io::Result<()> {
writer.write_all(&[self.to_code()])
}
fn deserialize<R: io::Read>(reader: &mut R) -> io::Result<Self> {
let optional_codec_code = u8::deserialize(reader)?;
let optional_codec = Self::try_from_code(optional_codec_code)?;
Ok(optional_codec)
}
}
fn serialize_optional_index_block(block_els: &[u16], out: &mut impl io::Write) -> io::Result<()> { fn serialize_optional_index_block(block_els: &[u16], out: &mut impl io::Write) -> io::Result<()> {
let is_sparse = is_sparse(block_els.len() as u32); let is_sparse = is_sparse(block_els.len() as u32);
if is_sparse { if is_sparse {

2
columnar/src/column_index/optional_index/set_block/dense.rs
View File

@@ -2,7 +2,7 @@ use std::io::{self, Write};
use common::BinarySerializable; use common::BinarySerializable;
use crate::column_index::optional_index::{ELEMENTS_PER_BLOCK, SelectCursor, Set, SetCodec}; use crate::column_index::optional_index::{SelectCursor, Set, SetCodec, ELEMENTS_PER_BLOCK};
#[inline(always)] #[inline(always)]
fn get_bit_at(input: u64, n: u16) -> bool { fn get_bit_at(input: u64, n: u16) -> bool {

2
columnar/src/column_index/optional_index/set_block/mod.rs
View File

@@ -1,7 +1,7 @@
mod dense; mod dense;
mod sparse; mod sparse;
pub use dense::{DENSE_BLOCK_NUM_BYTES, DenseBlock, DenseBlockCodec}; pub use dense::{DenseBlock, DenseBlockCodec, DENSE_BLOCK_NUM_BYTES};
pub use sparse::{SparseBlock, SparseBlockCodec}; pub use sparse::{SparseBlock, SparseBlockCodec};
#[cfg(test)] #[cfg(test)]

177
columnar/src/column_index/optional_index/tests.rs
View File

@@ -164,11 +164,7 @@ fn test_optional_index_large() {
fn test_optional_index_iter_aux(row_ids: &[RowId], num_rows: RowId) { fn test_optional_index_iter_aux(row_ids: &[RowId], num_rows: RowId) {
let optional_index = OptionalIndex::for_test(num_rows, row_ids); let optional_index = OptionalIndex::for_test(num_rows, row_ids);
assert_eq!(optional_index.num_docs(), num_rows); assert_eq!(optional_index.num_docs(), num_rows);
assert!( assert!(optional_index.iter_docs().eq(row_ids.iter().copied()));
optional_index
.iter_non_null_docs()
.eq(row_ids.iter().copied())
);
} }
#[test] #[test]
@@ -223,3 +219,174 @@ fn test_optional_index_for_tests() {
assert!(!optional_index.contains(3)); assert!(!optional_index.contains(3));
assert_eq!(optional_index.num_docs(), 4); assert_eq!(optional_index.num_docs(), 4);
} }
#[cfg(all(test, feature = "unstable"))]
mod bench {
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
use test::Bencher;
use super::*;
const TOTAL_NUM_VALUES: u32 = 1_000_000;
fn gen_bools(fill_ratio: f64) -> OptionalIndex {
let mut out = Vec::new();
let mut rng: StdRng = StdRng::from_seed([1u8; 32]);
let vals: Vec<RowId> = (0..TOTAL_NUM_VALUES)
.map(|_| rng.gen_bool(fill_ratio))
.enumerate()
.filter(|(_pos, val)| *val)
.map(|(pos, _)| pos as RowId)
.collect();
serialize_optional_index(&&vals[..], TOTAL_NUM_VALUES, &mut out).unwrap();
open_optional_index(OwnedBytes::new(out)).unwrap()
}
fn random_range_iterator(
start: u32,
end: u32,
avg_step_size: u32,
avg_deviation: u32,
) -> impl Iterator<Item = u32> {
let mut rng: StdRng = StdRng::from_seed([1u8; 32]);
let mut current = start;
std::iter::from_fn(move || {
current += rng.gen_range(avg_step_size - avg_deviation..=avg_step_size + avg_deviation);
if current >= end {
None
} else {
Some(current)
}
})
}
fn n_percent_step_iterator(percent: f32, num_values: u32) -> impl Iterator<Item = u32> {
let ratio = percent / 100.0;
let step_size = (1f32 / ratio) as u32;
let deviation = step_size - 1;
random_range_iterator(0, num_values, step_size, deviation)
}
fn walk_over_data(codec: &OptionalIndex, avg_step_size: u32) -> Option<u32> {
walk_over_data_from_positions(
codec,
random_range_iterator(0, TOTAL_NUM_VALUES, avg_step_size, 0),
)
}
fn walk_over_data_from_positions(
codec: &OptionalIndex,
positions: impl Iterator<Item = u32>,
) -> Option<u32> {
let mut dense_idx: Option<u32> = None;
for idx in positions {
dense_idx = dense_idx.or(codec.rank_if_exists(idx));
}
dense_idx
}
#[bench]
fn bench_translate_orig_to_codec_1percent_filled_10percent_hit(bench: &mut Bencher) {
let codec = gen_bools(0.01f64);
bench.iter(|| walk_over_data(&codec, 100));
}
#[bench]
fn bench_translate_orig_to_codec_5percent_filled_10percent_hit(bench: &mut Bencher) {
let codec = gen_bools(0.05f64);
bench.iter(|| walk_over_data(&codec, 100));
}
#[bench]
fn bench_translate_orig_to_codec_5percent_filled_1percent_hit(bench: &mut Bencher) {
let codec = gen_bools(0.05f64);
bench.iter(|| walk_over_data(&codec, 1000));
}
#[bench]
fn bench_translate_orig_to_codec_full_scan_1percent_filled(bench: &mut Bencher) {
let codec = gen_bools(0.01f64);
bench.iter(|| walk_over_data_from_positions(&codec, 0..TOTAL_NUM_VALUES));
}
#[bench]
fn bench_translate_orig_to_codec_full_scan_10percent_filled(bench: &mut Bencher) {
let codec = gen_bools(0.1f64);
bench.iter(|| walk_over_data_from_positions(&codec, 0..TOTAL_NUM_VALUES));
}
#[bench]
fn bench_translate_orig_to_codec_full_scan_90percent_filled(bench: &mut Bencher) {
let codec = gen_bools(0.9f64);
bench.iter(|| walk_over_data_from_positions(&codec, 0..TOTAL_NUM_VALUES));
}
#[bench]
fn bench_translate_orig_to_codec_10percent_filled_1percent_hit(bench: &mut Bencher) {
let codec = gen_bools(0.1f64);
bench.iter(|| walk_over_data(&codec, 100));
}
#[bench]
fn bench_translate_orig_to_codec_50percent_filled_1percent_hit(bench: &mut Bencher) {
let codec = gen_bools(0.5f64);
bench.iter(|| walk_over_data(&codec, 100));
}
#[bench]
fn bench_translate_orig_to_codec_90percent_filled_1percent_hit(bench: &mut Bencher) {
let codec = gen_bools(0.9f64);
bench.iter(|| walk_over_data(&codec, 100));
}
#[bench]
fn bench_translate_codec_to_orig_1percent_filled_0comma005percent_hit(bench: &mut Bencher) {
bench_translate_codec_to_orig_util(0.01f64, 0.005f32, bench);
}
#[bench]
fn bench_translate_codec_to_orig_10percent_filled_0comma005percent_hit(bench: &mut Bencher) {
bench_translate_codec_to_orig_util(0.1f64, 0.005f32, bench);
}
#[bench]
fn bench_translate_codec_to_orig_1percent_filled_10percent_hit(bench: &mut Bencher) {
bench_translate_codec_to_orig_util(0.01f64, 10f32, bench);
}
#[bench]
fn bench_translate_codec_to_orig_1percent_filled_full_scan(bench: &mut Bencher) {
bench_translate_codec_to_orig_util(0.01f64, 100f32, bench);
}
fn bench_translate_codec_to_orig_util(
percent_filled: f64,
percent_hit: f32,
bench: &mut Bencher,
) {
let codec = gen_bools(percent_filled);
let num_non_nulls = codec.num_non_nulls();
let idxs: Vec<u32> = if percent_hit == 100.0f32 {
(0..num_non_nulls).collect()
} else {
n_percent_step_iterator(percent_hit, num_non_nulls).collect()
};
let mut output = vec![0u32; idxs.len()];
bench.iter(|| {
output.copy_from_slice(&idxs[..]);
codec.select_batch(&mut output);
});
}
#[bench]
fn bench_translate_codec_to_orig_90percent_filled_0comma005percent_hit(bench: &mut Bencher) {
bench_translate_codec_to_orig_util(0.9f64, 0.005, bench);
}
#[bench]
fn bench_translate_codec_to_orig_90percent_filled_full_scan(bench: &mut Bencher) {
bench_translate_codec_to_orig_util(0.9f64, 100.0f32, bench);
}
}

4
columnar/src/column_index/serialize.rs
View File

@@ -3,11 +3,11 @@ use std::io::Write;
use common::{CountingWriter, OwnedBytes}; use common::{CountingWriter, OwnedBytes};
use super::OptionalIndex;
use super::multivalued_index::SerializableMultivalueIndex; use super::multivalued_index::SerializableMultivalueIndex;
use crate::column_index::ColumnIndex; use super::OptionalIndex;
use crate::column_index::multivalued_index::serialize_multivalued_index; use crate::column_index::multivalued_index::serialize_multivalued_index;
use crate::column_index::optional_index::serialize_optional_index; use crate::column_index::optional_index::serialize_optional_index;
use crate::column_index::ColumnIndex;
use crate::iterable::Iterable; use crate::iterable::Iterable;
use crate::{Cardinality, RowId, Version}; use crate::{Cardinality, RowId, Version};

139
columnar/src/column_values/bench.rs Normal file
View File

@@ -0,0 +1,139 @@
use std::sync::Arc;
use common::OwnedBytes;
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
use test::{self, Bencher};
use super::*;
use crate::column_values::u64_based::*;
fn get_data() -> Vec<u64> {
let mut rng = StdRng::seed_from_u64(2u64);
let mut data: Vec<_> = (100..55000_u64)
.map(|num| num + rng.gen::<u8>() as u64)
.collect();
data.push(99_000);
data.insert(1000, 2000);
data.insert(2000, 100);
data.insert(3000, 4100);
data.insert(4000, 100);
data.insert(5000, 800);
data
}
fn compute_stats(vals: impl Iterator<Item = u64>) -> ColumnStats {
let mut stats_collector = StatsCollector::default();
for val in vals {
stats_collector.collect(val);
}
stats_collector.stats()
}
#[inline(never)]
fn value_iter() -> impl Iterator<Item = u64> {
0..20_000
}
fn get_reader_for_bench<Codec: ColumnCodec>(data: &[u64]) -> Codec::ColumnValues {
let mut bytes = Vec::new();
let stats = compute_stats(data.iter().cloned());
let mut codec_serializer = Codec::estimator();
for val in data {
codec_serializer.collect(*val);
}
codec_serializer
.serialize(&stats, Box::new(data.iter().copied()).as_mut(), &mut bytes)
.unwrap();
Codec::load(OwnedBytes::new(bytes)).unwrap()
}
fn bench_get<Codec: ColumnCodec>(b: &mut Bencher, data: &[u64]) {
let col = get_reader_for_bench::<Codec>(data);
b.iter(|| {
let mut sum = 0u64;
for pos in value_iter() {
let val = col.get_val(pos as u32);
sum = sum.wrapping_add(val);
}
sum
});
}
#[inline(never)]
fn bench_get_dynamic_helper(b: &mut Bencher, col: Arc<dyn ColumnValues>) {
b.iter(|| {
let mut sum = 0u64;
for pos in value_iter() {
let val = col.get_val(pos as u32);
sum = sum.wrapping_add(val);
}
sum
});
}
fn bench_get_dynamic<Codec: ColumnCodec>(b: &mut Bencher, data: &[u64]) {
let col = Arc::new(get_reader_for_bench::<Codec>(data));
bench_get_dynamic_helper(b, col);
}
fn bench_create<Codec: ColumnCodec>(b: &mut Bencher, data: &[u64]) {
let stats = compute_stats(data.iter().cloned());
let mut bytes = Vec::new();
b.iter(|| {
bytes.clear();
let mut codec_serializer = Codec::estimator();
for val in data.iter().take(1024) {
codec_serializer.collect(*val);
}
codec_serializer.serialize(&stats, Box::new(data.iter().copied()).as_mut(), &mut bytes)
});
}
#[bench]
fn bench_fastfield_bitpack_create(b: &mut Bencher) {
let data: Vec<_> = get_data();
bench_create::<BitpackedCodec>(b, &data);
}
#[bench]
fn bench_fastfield_linearinterpol_create(b: &mut Bencher) {
let data: Vec<_> = get_data();
bench_create::<LinearCodec>(b, &data);
}
#[bench]
fn bench_fastfield_multilinearinterpol_create(b: &mut Bencher) {
let data: Vec<_> = get_data();
bench_create::<BlockwiseLinearCodec>(b, &data);
}
#[bench]
fn bench_fastfield_bitpack_get(b: &mut Bencher) {
let data: Vec<_> = get_data();
bench_get::<BitpackedCodec>(b, &data);
}
#[bench]
fn bench_fastfield_bitpack_get_dynamic(b: &mut Bencher) {
let data: Vec<_> = get_data();
bench_get_dynamic::<BitpackedCodec>(b, &data);
}
#[bench]
fn bench_fastfield_linearinterpol_get(b: &mut Bencher) {
let data: Vec<_> = get_data();
bench_get::<LinearCodec>(b, &data);
}
#[bench]
fn bench_fastfield_linearinterpol_get_dynamic(b: &mut Bencher) {
let data: Vec<_> = get_data();
bench_get_dynamic::<LinearCodec>(b, &data);
}
#[bench]
fn bench_fastfield_multilinearinterpol_get(b: &mut Bencher) {
let data: Vec<_> = get_data();
bench_get::<BlockwiseLinearCodec>(b, &data);
}
#[bench]
fn bench_fastfield_multilinearinterpol_get_dynamic(b: &mut Bencher) {
let data: Vec<_> = get_data();
bench_get_dynamic::<BlockwiseLinearCodec>(b, &data);
}

15
columnar/src/column_values/mod.rs
View File

@@ -26,13 +26,13 @@ mod monotonic_column;
pub(crate) use merge::MergedColumnValues; pub(crate) use merge::MergedColumnValues;
pub use stats::ColumnStats; pub use stats::ColumnStats;
pub use u64_based::{
ALL_U64_CODEC_TYPES, CodecType, load_u64_based_column_values,
serialize_and_load_u64_based_column_values, serialize_u64_based_column_values,
};
pub use u128_based::{ pub use u128_based::{
CompactSpaceU64Accessor, open_u128_as_compact_u64, open_u128_mapped, open_u128_as_compact_u64, open_u128_mapped, serialize_column_values_u128,
serialize_column_values_u128, CompactSpaceU64Accessor,
};
pub use u64_based::{
load_u64_based_column_values, serialize_and_load_u64_based_column_values,
serialize_u64_based_column_values, CodecType, ALL_U64_CODEC_TYPES,
}; };
pub use vec_column::VecColumn; pub use vec_column::VecColumn;
@@ -242,3 +242,6 @@ impl<T: Copy + PartialOrd + Debug + 'static> ColumnValues<T> for Arc<dyn ColumnV
.get_row_ids_for_value_range(range, doc_id_range, positions) .get_row_ids_for_value_range(range, doc_id_range, positions)
} }
} }
#[cfg(all(test, feature = "unstable"))]
mod bench;

4
columnar/src/column_values/monotonic_column.rs
View File

@@ -2,8 +2,8 @@ use std::fmt::Debug;
use std::marker::PhantomData; use std::marker::PhantomData;
use std::ops::{Range, RangeInclusive}; use std::ops::{Range, RangeInclusive};
use crate::ColumnValues;
use crate::column_values::monotonic_mapping::StrictlyMonotonicFn; use crate::column_values::monotonic_mapping::StrictlyMonotonicFn;
use crate::ColumnValues;
struct MonotonicMappingColumn<C, T, Input> { struct MonotonicMappingColumn<C, T, Input> {
from_column: C, from_column: C,
@@ -99,10 +99,10 @@ where
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use super::*; use super::*;
use crate::column_values::VecColumn;
use crate::column_values::monotonic_mapping::{ use crate::column_values::monotonic_mapping::{
StrictlyMonotonicMappingInverter, StrictlyMonotonicMappingToInternal, StrictlyMonotonicMappingInverter, StrictlyMonotonicMappingToInternal,
}; };
use crate::column_values::VecColumn;
#[test] #[test]
fn test_monotonic_mapping_iter() { fn test_monotonic_mapping_iter() {

2
columnar/src/column_values/monotonic_mapping_u128.rs
View File

@@ -1,7 +1,7 @@
use std::fmt::Debug; use std::fmt::Debug;
use std::net::Ipv6Addr; use std::net::Ipv6Addr;
/// Monotonic maps a value to u128 value space /// Montonic maps a value to u128 value space
/// Monotonic mapping enables `PartialOrd` on u128 space without conversion to original space. /// Monotonic mapping enables `PartialOrd` on u128 space without conversion to original space.
pub trait MonotonicallyMappableToU128: 'static + PartialOrd + Copy + Debug + Send + Sync { pub trait MonotonicallyMappableToU128: 'static + PartialOrd + Copy + Debug + Send + Sync {
/// Converts a value to u128. /// Converts a value to u128.

16
columnar/src/column_values/u128_based/compact_space/build_compact_space.rs
View File

@@ -185,10 +185,10 @@ impl CompactSpaceBuilder {
let mut covered_space = Vec::with_capacity(self.blanks.len()); let mut covered_space = Vec::with_capacity(self.blanks.len());
// beginning of the blanks // beginning of the blanks
if let Some(first_blank_start) = self.blanks.first().map(RangeInclusive::start) if let Some(first_blank_start) = self.blanks.first().map(RangeInclusive::start) {
&& *first_blank_start != 0 if *first_blank_start != 0 {
{ covered_space.push(0..=first_blank_start - 1);
covered_space.push(0..=first_blank_start - 1); }
} }
// Between the blanks // Between the blanks
@@ -202,10 +202,10 @@ impl CompactSpaceBuilder {
covered_space.extend(between_blanks); covered_space.extend(between_blanks);
// end of the blanks // end of the blanks
if let Some(last_blank_end) = self.blanks.last().map(RangeInclusive::end) if let Some(last_blank_end) = self.blanks.last().map(RangeInclusive::end) {
&& *last_blank_end != u128::MAX if *last_blank_end != u128::MAX {
{ covered_space.push(last_blank_end + 1..=u128::MAX);
covered_space.push(last_blank_end + 1..=u128::MAX); }
} }
if covered_space.is_empty() { if covered_space.is_empty() {

16
columnar/src/column_values/u128_based/compact_space/mod.rs
View File

@@ -24,8 +24,8 @@ use build_compact_space::get_compact_space;
use common::{BinarySerializable, CountingWriter, OwnedBytes, VInt, VIntU128}; use common::{BinarySerializable, CountingWriter, OwnedBytes, VInt, VIntU128};
use tantivy_bitpacker::{BitPacker, BitUnpacker}; use tantivy_bitpacker::{BitPacker, BitUnpacker};
use crate::RowId;
use crate::column_values::ColumnValues; use crate::column_values::ColumnValues;
use crate::RowId;
/// The cost per blank is quite hard actually, since blanks are delta encoded, the actual cost of /// The cost per blank is quite hard actually, since blanks are delta encoded, the actual cost of
/// blanks depends on the number of blanks. /// blanks depends on the number of blanks.
@@ -653,14 +653,12 @@ mod tests {
), ),
&[3] &[3]
); );
assert!( assert!(get_positions_for_value_range_helper(
get_positions_for_value_range_helper( &decomp,
&decomp, 99998u128..=99998u128,
99998u128..=99998u128, complete_range.clone()
complete_range.clone() )
) .is_empty());
.is_empty()
);
assert_eq!( assert_eq!(
&get_positions_for_value_range_helper( &get_positions_for_value_range_helper(
&decomp, &decomp,

6
columnar/src/column_values/u128_based/mod.rs
View File

@@ -130,11 +130,11 @@ pub fn open_u128_as_compact_u64(mut bytes: OwnedBytes) -> io::Result<Arc<dyn Col
#[cfg(test)] #[cfg(test)]
pub(crate) mod tests { pub(crate) mod tests {
use super::*; use super::*;
use crate::column_values::CodecType;
use crate::column_values::u64_based::{ use crate::column_values::u64_based::{
ALL_U64_CODEC_TYPES, serialize_and_load_u64_based_column_values, serialize_and_load_u64_based_column_values, serialize_u64_based_column_values,
serialize_u64_based_column_values, ALL_U64_CODEC_TYPES,
}; };
use crate::column_values::CodecType;
#[test] #[test]
fn test_serialize_deserialize_u128_header() { fn test_serialize_deserialize_u128_header() {

16
columnar/src/column_values/u64_based/bitpacked.rs
View File

@@ -4,7 +4,7 @@ use std::ops::{Range, RangeInclusive};
use common::{BinarySerializable, OwnedBytes}; use common::{BinarySerializable, OwnedBytes};
use fastdivide::DividerU64; use fastdivide::DividerU64;
use tantivy_bitpacker::{BitPacker, BitUnpacker, compute_num_bits}; use tantivy_bitpacker::{compute_num_bits, BitPacker, BitUnpacker};
use crate::column_values::u64_based::{ColumnCodec, ColumnCodecEstimator, ColumnStats}; use crate::column_values::u64_based::{ColumnCodec, ColumnCodecEstimator, ColumnStats};
use crate::{ColumnValues, RowId}; use crate::{ColumnValues, RowId};
@@ -23,7 +23,11 @@ const fn div_ceil(n: u64, q: NonZeroU64) -> u64 {
// copied from unstable rust standard library. // copied from unstable rust standard library.
let d = n / q.get(); let d = n / q.get();
let r = n % q.get(); let r = n % q.get();
if r > 0 { d + 1 } else { d } if r > 0 {
d + 1
} else {
d
}
} }
// The bitpacked codec applies a linear transformation `f` over data that are bitpacked. // The bitpacked codec applies a linear transformation `f` over data that are bitpacked.
@@ -41,6 +45,12 @@ fn transform_range_before_linear_transformation(
if range.is_empty() { if range.is_empty() {
return None; return None;
} }
if stats.min_value > *range.end() {
return None;
}
if stats.max_value < *range.start() {
return None;
}
let shifted_range = let shifted_range =
range.start().saturating_sub(stats.min_value)..=range.end().saturating_sub(stats.min_value); range.start().saturating_sub(stats.min_value)..=range.end().saturating_sub(stats.min_value);
let start_before_gcd_multiplication: u64 = div_ceil(*shifted_range.start(), stats.gcd); let start_before_gcd_multiplication: u64 = div_ceil(*shifted_range.start(), stats.gcd);
@@ -99,7 +109,7 @@ impl ColumnCodecEstimator for BitpackedCodecEstimator {
fn estimate(&self, stats: &ColumnStats) -> Option<u64> { fn estimate(&self, stats: &ColumnStats) -> Option<u64> {
let num_bits_per_value = num_bits(stats); let num_bits_per_value = num_bits(stats);
Some(stats.num_bytes() + (stats.num_rows as u64 * (num_bits_per_value as u64)).div_ceil(8)) Some(stats.num_bytes() + (stats.num_rows as u64 * (num_bits_per_value as u64) + 7) / 8)
} }
fn serialize( fn serialize(

4
columnar/src/column_values/u64_based/blockwise_linear.rs
View File

@@ -4,12 +4,12 @@ use std::{io, iter};
use common::{BinarySerializable, CountingWriter, DeserializeFrom, OwnedBytes}; use common::{BinarySerializable, CountingWriter, DeserializeFrom, OwnedBytes};
use fastdivide::DividerU64; use fastdivide::DividerU64;
use tantivy_bitpacker::{BitPacker, BitUnpacker, compute_num_bits}; use tantivy_bitpacker::{compute_num_bits, BitPacker, BitUnpacker};
use crate::MonotonicallyMappableToU64;
use crate::column_values::u64_based::line::Line; use crate::column_values::u64_based::line::Line;
use crate::column_values::u64_based::{ColumnCodec, ColumnCodecEstimator, ColumnStats}; use crate::column_values::u64_based::{ColumnCodec, ColumnCodecEstimator, ColumnStats};
use crate::column_values::{ColumnValues, VecColumn}; use crate::column_values::{ColumnValues, VecColumn};
use crate::MonotonicallyMappableToU64;
const BLOCK_SIZE: u32 = 512u32; const BLOCK_SIZE: u32 = 512u32;

4
columnar/src/column_values/u64_based/line.rs
View File

@@ -8,7 +8,7 @@ use crate::column_values::ColumnValues;
const MID_POINT: u64 = (1u64 << 32) - 1u64; const MID_POINT: u64 = (1u64 << 32) - 1u64;
/// `Line` describes a line function `y: ax + b` using integer /// `Line` describes a line function `y: ax + b` using integer
/// arithmetic. /// arithmetics.
/// ///
/// The slope is in fact a decimal split into a 32 bit integer value, /// The slope is in fact a decimal split into a 32 bit integer value,
/// and a 32-bit decimal value. /// and a 32-bit decimal value.
@@ -94,7 +94,7 @@ impl Line {
// `(i, ys[])`. // `(i, ys[])`.
// //
// The best intercept therefore has the form // The best intercept therefore has the form
// `y[i] - line.eval(i)` (using wrapping arithmetic). // `y[i] - line.eval(i)` (using wrapping arithmetics).
// In other words, the best intercept is one of the `y - Line::eval(ys[i])` // In other words, the best intercept is one of the `y - Line::eval(ys[i])`
// and our task is just to pick the one that minimizes our error. // and our task is just to pick the one that minimizes our error.
// //

10
columnar/src/column_values/u64_based/linear.rs
View File

@@ -1,13 +1,13 @@
use std::io; use std::io;
use common::{BinarySerializable, OwnedBytes}; use common::{BinarySerializable, OwnedBytes};
use tantivy_bitpacker::{BitPacker, BitUnpacker, compute_num_bits}; use tantivy_bitpacker::{compute_num_bits, BitPacker, BitUnpacker};
use super::ColumnValues;
use super::line::Line; use super::line::Line;
use crate::RowId; use super::ColumnValues;
use crate::column_values::VecColumn;
use crate::column_values::u64_based::{ColumnCodec, ColumnCodecEstimator, ColumnStats}; use crate::column_values::u64_based::{ColumnCodec, ColumnCodecEstimator, ColumnStats};
use crate::column_values::VecColumn;
use crate::RowId;
const HALF_SPACE: u64 = u64::MAX / 2; const HALF_SPACE: u64 = u64::MAX / 2;
const LINE_ESTIMATION_BLOCK_LEN: usize = 512; const LINE_ESTIMATION_BLOCK_LEN: usize = 512;
@@ -117,7 +117,7 @@ impl ColumnCodecEstimator for LinearCodecEstimator {
Some( Some(
stats.num_bytes() stats.num_bytes()
+ linear_params.num_bytes() + linear_params.num_bytes()
+ (num_bits as u64 * stats.num_rows as u64).div_ceil(8), + (num_bits as u64 * stats.num_rows as u64 + 7) / 8,
) )
} }

4
columnar/src/column_values/u64_based/mod.rs
View File

@@ -17,7 +17,7 @@ pub use crate::column_values::u64_based::bitpacked::BitpackedCodec;
pub use crate::column_values::u64_based::blockwise_linear::BlockwiseLinearCodec; pub use crate::column_values::u64_based::blockwise_linear::BlockwiseLinearCodec;
pub use crate::column_values::u64_based::linear::LinearCodec; pub use crate::column_values::u64_based::linear::LinearCodec;
pub use crate::column_values::u64_based::stats_collector::StatsCollector; pub use crate::column_values::u64_based::stats_collector::StatsCollector;
use crate::column_values::{ColumnStats, monotonic_map_column}; use crate::column_values::{monotonic_map_column, ColumnStats};
use crate::iterable::Iterable; use crate::iterable::Iterable;
use crate::{ColumnValues, MonotonicallyMappableToU64}; use crate::{ColumnValues, MonotonicallyMappableToU64};
@@ -52,7 +52,7 @@ pub trait ColumnCodecEstimator<T = u64>: 'static {
) -> io::Result<()>; ) -> io::Result<()>;
} }
/// A column codec describes a column serialization format. /// A column codec describes a colunm serialization format.
pub trait ColumnCodec<T: PartialOrd = u64> { pub trait ColumnCodec<T: PartialOrd = u64> {
/// Specialized `ColumnValues` type. /// Specialized `ColumnValues` type.
type ColumnValues: ColumnValues<T> + 'static; type ColumnValues: ColumnValues<T> + 'static;

4
columnar/src/column_values/u64_based/stats_collector.rs
View File

@@ -2,8 +2,8 @@ use std::num::NonZeroU64;
use fastdivide::DividerU64; use fastdivide::DividerU64;
use crate::RowId;
use crate::column_values::ColumnStats; use crate::column_values::ColumnStats;
use crate::RowId;
/// Compute the gcd of two non null numbers. /// Compute the gcd of two non null numbers.
/// ///
@@ -96,8 +96,8 @@ impl StatsCollector {
mod tests { mod tests {
use std::num::NonZeroU64; use std::num::NonZeroU64;
use crate::column_values::u64_based::stats_collector::{compute_gcd, StatsCollector};
use crate::column_values::u64_based::ColumnStats; use crate::column_values::u64_based::ColumnStats;
use crate::column_values::u64_based::stats_collector::{StatsCollector, compute_gcd};
fn compute_stats(vals: impl Iterator<Item = u64>) -> ColumnStats { fn compute_stats(vals: impl Iterator<Item = u64>) -> ColumnStats {
let mut stats_collector = StatsCollector::default(); let mut stats_collector = StatsCollector::default();

1
columnar/src/column_values/u64_based/tests.rs
View File

@@ -1,6 +1,5 @@
use proptest::prelude::*; use proptest::prelude::*;
use proptest::{prop_oneof, proptest}; use proptest::{prop_oneof, proptest};
use rand::Rng;
#[test] #[test]
fn test_serialize_and_load_simple() { fn test_serialize_and_load_simple() {

2
columnar/src/columnar/column_type.rs
View File

@@ -4,8 +4,8 @@ use std::net::Ipv6Addr;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use crate::InvalidData;
use crate::value::NumericalType; use crate::value::NumericalType;
use crate::InvalidData;
/// The column type represents the column type. /// The column type represents the column type.
/// Any changes need to be propagated to `COLUMN_TYPES`. /// Any changes need to be propagated to `COLUMN_TYPES`.

39
columnar/src/columnar/merge/mod.rs
View File

@@ -10,11 +10,11 @@ use std::sync::Arc;
pub use merge_mapping::{MergeRowOrder, ShuffleMergeOrder, StackMergeOrder}; pub use merge_mapping::{MergeRowOrder, ShuffleMergeOrder, StackMergeOrder};
use super::writer::ColumnarSerializer; use super::writer::ColumnarSerializer;
use crate::column::{serialize_column_mappable_to_u64, serialize_column_mappable_to_u128}; use crate::column::{serialize_column_mappable_to_u128, serialize_column_mappable_to_u64};
use crate::column_values::MergedColumnValues; use crate::column_values::MergedColumnValues;
use crate::columnar::ColumnarReader;
use crate::columnar::merge::merge_dict_column::merge_bytes_or_str_column; use crate::columnar::merge::merge_dict_column::merge_bytes_or_str_column;
use crate::columnar::writer::CompatibleNumericalTypes; use crate::columnar::writer::CompatibleNumericalTypes;
use crate::columnar::ColumnarReader;
use crate::dynamic_column::DynamicColumn; use crate::dynamic_column::DynamicColumn;
use crate::{ use crate::{
BytesColumn, Column, ColumnIndex, ColumnType, ColumnValues, DynamicColumnHandle, NumericalType, BytesColumn, Column, ColumnIndex, ColumnType, ColumnValues, DynamicColumnHandle, NumericalType,
@@ -144,17 +144,16 @@ fn merge_column(
let mut column_values: Vec<Option<Arc<dyn ColumnValues>>> = let mut column_values: Vec<Option<Arc<dyn ColumnValues>>> =
Vec::with_capacity(columns_to_merge.len()); Vec::with_capacity(columns_to_merge.len());
for (i, dynamic_column_opt) in columns_to_merge.into_iter().enumerate() { for (i, dynamic_column_opt) in columns_to_merge.into_iter().enumerate() {
match dynamic_column_opt.and_then(dynamic_column_to_u64_monotonic) { if let Some(Column { index: idx, values }) =
Some(Column { index: idx, values }) => { dynamic_column_opt.and_then(dynamic_column_to_u64_monotonic)
column_indexes.push(idx); {
column_values.push(Some(values)); column_indexes.push(idx);
} column_values.push(Some(values));
None => { } else {
column_indexes.push(ColumnIndex::Empty { column_indexes.push(ColumnIndex::Empty {
num_docs: num_docs_per_column[i], num_docs: num_docs_per_column[i],
}); });
column_values.push(None); column_values.push(None);
}
} }
} }
let merged_column_index = let merged_column_index =
@@ -254,13 +253,11 @@ impl GroupedColumns {
} }
// At the moment, only the numerical column type category has more than one possible // At the moment, only the numerical column type category has more than one possible
// column type. // column type.
assert!( assert!(self
self.columns .columns
.iter() .iter()
.flatten() .flatten()
.all(|el| ColumnTypeCategory::from(el.column_type()) .all(|el| ColumnTypeCategory::from(el.column_type()) == ColumnTypeCategory::Numerical));
== ColumnTypeCategory::Numerical)
);
merged_numerical_columns_type(self.columns.iter().flatten()).into() merged_numerical_columns_type(self.columns.iter().flatten()).into()
} }
} }
@@ -367,7 +364,7 @@ fn is_empty_after_merge(
ColumnIndex::Empty { .. } => true, ColumnIndex::Empty { .. } => true,
ColumnIndex::Full => alive_bitset.len() == 0, ColumnIndex::Full => alive_bitset.len() == 0,
ColumnIndex::Optional(optional_index) => { ColumnIndex::Optional(optional_index) => {
for doc in optional_index.iter_non_null_docs() { for doc in optional_index.iter_docs() {
if alive_bitset.contains(doc) { if alive_bitset.contains(doc) {
return false; return false;
} }

21
columnar/src/columnar/merge/term_merger.rs
View File

@@ -74,19 +74,18 @@ impl<'a> TermMerger<'a> {
/// False if there is none. /// False if there is none.
pub fn advance(&mut self) -> bool { pub fn advance(&mut self) -> bool {
self.advance_segments(); self.advance_segments();
match self.heap.pop() { if let Some(head) = self.heap.pop() {
Some(head) => { self.term_streams_with_segment.push(head);
self.term_streams_with_segment.push(head); while let Some(next_streamer) = self.heap.peek() {
while let Some(next_streamer) = self.heap.peek() { if self.term_streams_with_segment[0].terms.key() != next_streamer.terms.key() {
if self.term_streams_with_segment[0].terms.key() != next_streamer.terms.key() { break;
break;
}
let next_heap_it = self.heap.pop().unwrap(); // safe : we peeked beforehand
self.term_streams_with_segment.push(next_heap_it);
} }
true let next_heap_it = self.heap.pop().unwrap(); // safe : we peeked beforehand
self.term_streams_with_segment.push(next_heap_it);
} }
_ => false, true
} else {
false
} }
} }

2
columnar/src/columnar/merge/tests.rs
View File

@@ -3,7 +3,7 @@ use proptest::collection::vec;
use proptest::prelude::*; use proptest::prelude::*;
use super::*; use super::*;
use crate::columnar::{ColumnarReader, MergeRowOrder, StackMergeOrder, merge_columnar}; use crate::columnar::{merge_columnar, ColumnarReader, MergeRowOrder, StackMergeOrder};
use crate::{Cardinality, ColumnarWriter, DynamicColumn, HasAssociatedColumnType, RowId}; use crate::{Cardinality, ColumnarWriter, DynamicColumn, HasAssociatedColumnType, RowId};
fn make_columnar<T: Into<NumericalValue> + HasAssociatedColumnType + Copy>( fn make_columnar<T: Into<NumericalValue> + HasAssociatedColumnType + Copy>(

4
columnar/src/columnar/mod.rs
View File

@@ -5,9 +5,9 @@ mod reader;
mod writer; mod writer;
pub use column_type::{ColumnType, HasAssociatedColumnType}; pub use column_type::{ColumnType, HasAssociatedColumnType};
pub use format_version::{CURRENT_VERSION, Version}; pub use format_version::{Version, CURRENT_VERSION};
#[cfg(test)] #[cfg(test)]
pub(crate) use merge::ColumnTypeCategory; pub(crate) use merge::ColumnTypeCategory;
pub use merge::{MergeRowOrder, ShuffleMergeOrder, StackMergeOrder, merge_columnar}; pub use merge::{merge_columnar, MergeRowOrder, ShuffleMergeOrder, StackMergeOrder};
pub use reader::ColumnarReader; pub use reader::ColumnarReader;
pub use writer::ColumnarWriter; pub use writer::ColumnarWriter;

4
columnar/src/columnar/reader/mod.rs
View File

@@ -1,11 +1,11 @@
use std::{fmt, io, mem}; use std::{fmt, io, mem};
use common::BinarySerializable;
use common::file_slice::FileSlice; use common::file_slice::FileSlice;
use common::json_path_writer::JSON_PATH_SEGMENT_SEP; use common::json_path_writer::JSON_PATH_SEGMENT_SEP;
use common::BinarySerializable;
use sstable::{Dictionary, RangeSSTable}; use sstable::{Dictionary, RangeSSTable};
use crate::columnar::{ColumnType, format_version}; use crate::columnar::{format_version, ColumnType};
use crate::dynamic_column::DynamicColumnHandle; use crate::dynamic_column::DynamicColumnHandle;
use crate::{RowId, Version}; use crate::{RowId, Version};

2
columnar/src/columnar/writer/column_operation.rs
View File

@@ -244,7 +244,7 @@ impl SymbolValue for UnorderedId {
fn compute_num_bytes_for_u64(val: u64) -> usize { fn compute_num_bytes_for_u64(val: u64) -> usize {
let msb = (64u32 - val.leading_zeros()) as usize; let msb = (64u32 - val.leading_zeros()) as usize;
msb.div_ceil(8) (msb + 7) / 8
} }
fn encode_zig_zag(n: i64) -> u64 { fn encode_zig_zag(n: i64) -> u64 {

13
columnar/src/columnar/writer/column_writers.rs
View File

@@ -42,7 +42,7 @@ impl ColumnWriter {
&self, &self,
arena: &MemoryArena, arena: &MemoryArena,
buffer: &'a mut Vec<u8>, buffer: &'a mut Vec<u8>,
) -> impl Iterator<Item = ColumnOperation<V>> + 'a + use<'a, V> { ) -> impl Iterator<Item = ColumnOperation<V>> + 'a {
buffer.clear(); buffer.clear();
self.values.read_to_end(arena, buffer); self.values.read_to_end(arena, buffer);
let mut cursor: &[u8] = &buffer[..]; let mut cursor: &[u8] = &buffer[..];
@@ -104,10 +104,9 @@ pub(crate) struct NumericalColumnWriter {
impl NumericalColumnWriter { impl NumericalColumnWriter {
pub fn force_numerical_type(&mut self, numerical_type: NumericalType) { pub fn force_numerical_type(&mut self, numerical_type: NumericalType) {
assert!( assert!(self
self.compatible_numerical_types .compatible_numerical_types
.is_type_accepted(numerical_type) .is_type_accepted(numerical_type));
);
self.compatible_numerical_types = CompatibleNumericalTypes::StaticType(numerical_type); self.compatible_numerical_types = CompatibleNumericalTypes::StaticType(numerical_type);
} }
} }
@@ -212,7 +211,7 @@ impl NumericalColumnWriter {
self, self,
arena: &MemoryArena, arena: &MemoryArena,
buffer: &'a mut Vec<u8>, buffer: &'a mut Vec<u8>,
) -> impl Iterator<Item = ColumnOperation<NumericalValue>> + 'a + use<'a> { ) -> impl Iterator<Item = ColumnOperation<NumericalValue>> + 'a {
self.column_writer.operation_iterator(arena, buffer) self.column_writer.operation_iterator(arena, buffer)
} }
} }
@@ -256,7 +255,7 @@ impl StrOrBytesColumnWriter {
&self, &self,
arena: &MemoryArena, arena: &MemoryArena,
byte_buffer: &'a mut Vec<u8>, byte_buffer: &'a mut Vec<u8>,
) -> impl Iterator<Item = ColumnOperation<UnorderedId>> + 'a + use<'a> { ) -> impl Iterator<Item = ColumnOperation<UnorderedId>> + 'a {
self.column_writer.operation_iterator(arena, byte_buffer) self.column_writer.operation_iterator(arena, byte_buffer)
} }
} }

4
columnar/src/columnar/writer/mod.rs
View File

@@ -8,13 +8,13 @@ use std::net::Ipv6Addr;
use column_operation::ColumnOperation; use column_operation::ColumnOperation;
pub(crate) use column_writers::CompatibleNumericalTypes; pub(crate) use column_writers::CompatibleNumericalTypes;
use common::CountingWriter;
use common::json_path_writer::JSON_END_OF_PATH; use common::json_path_writer::JSON_END_OF_PATH;
use common::CountingWriter;
pub(crate) use serializer::ColumnarSerializer; pub(crate) use serializer::ColumnarSerializer;
use stacker::{Addr, ArenaHashMap, MemoryArena}; use stacker::{Addr, ArenaHashMap, MemoryArena};
use crate::column_index::{SerializableColumnIndex, SerializableOptionalIndex}; use crate::column_index::{SerializableColumnIndex, SerializableOptionalIndex};
use crate::column_values::{MonotonicallyMappableToU64, MonotonicallyMappableToU128}; use crate::column_values::{MonotonicallyMappableToU128, MonotonicallyMappableToU64};
use crate::columnar::column_type::ColumnType; use crate::columnar::column_type::ColumnType;
use crate::columnar::writer::column_writers::{ use crate::columnar::writer::column_writers::{
ColumnWriter, NumericalColumnWriter, StrOrBytesColumnWriter, ColumnWriter, NumericalColumnWriter, StrOrBytesColumnWriter,

4
columnar/src/columnar/writer/serializer.rs
View File

@@ -3,11 +3,11 @@ use std::io::Write;
use common::json_path_writer::JSON_END_OF_PATH; use common::json_path_writer::JSON_END_OF_PATH;
use common::{BinarySerializable, CountingWriter}; use common::{BinarySerializable, CountingWriter};
use sstable::RangeSSTable;
use sstable::value::RangeValueWriter; use sstable::value::RangeValueWriter;
use sstable::RangeSSTable;
use crate::RowId;
use crate::columnar::ColumnType; use crate::columnar::ColumnType;
use crate::RowId;
pub struct ColumnarSerializer<W: io::Write> { pub struct ColumnarSerializer<W: io::Write> {
wrt: CountingWriter<W>, wrt: CountingWriter<W>,

28
columnar/src/columnar/writer/value_index.rs
View File

@@ -1,6 +1,6 @@
use crate::RowId;
use crate::column_index::{SerializableMultivalueIndex, SerializableOptionalIndex}; use crate::column_index::{SerializableMultivalueIndex, SerializableOptionalIndex};
use crate::iterable::Iterable; use crate::iterable::Iterable;
use crate::RowId;
/// The `IndexBuilder` interprets a sequence of /// The `IndexBuilder` interprets a sequence of
/// calls of the form: /// calls of the form:
@@ -31,13 +31,12 @@ pub struct OptionalIndexBuilder {
impl OptionalIndexBuilder { impl OptionalIndexBuilder {
pub fn finish(&mut self, num_rows: RowId) -> impl Iterable<RowId> + '_ { pub fn finish(&mut self, num_rows: RowId) -> impl Iterable<RowId> + '_ {
debug_assert!( debug_assert!(self
self.docs .docs
.last() .last()
.copied() .copied()
.map(|last_doc| last_doc < num_rows) .map(|last_doc| last_doc < num_rows)
.unwrap_or(true) .unwrap_or(true));
);
&self.docs[..] &self.docs[..]
} }
@@ -49,13 +48,12 @@ impl OptionalIndexBuilder {
impl IndexBuilder for OptionalIndexBuilder { impl IndexBuilder for OptionalIndexBuilder {
#[inline(always)] #[inline(always)]
fn record_row(&mut self, doc: RowId) { fn record_row(&mut self, doc: RowId) {
debug_assert!( debug_assert!(self
self.docs .docs
.last() .last()
.copied() .copied()
.map(|prev_doc| doc > prev_doc) .map(|prev_doc| doc > prev_doc)
.unwrap_or(true) .unwrap_or(true));
);
self.docs.push(doc); self.docs.push(doc);
} }
} }

4
columnar/src/compat_tests.rs
View File

@@ -3,8 +3,8 @@ use std::path::PathBuf;
use itertools::Itertools; use itertools::Itertools;
use crate::{ use crate::{
CURRENT_VERSION, Cardinality, Column, ColumnarReader, DynamicColumn, StackMergeOrder, merge_columnar, Cardinality, Column, ColumnarReader, DynamicColumn, StackMergeOrder,
merge_columnar, CURRENT_VERSION,
}; };
const NUM_DOCS: u32 = u16::MAX as u32; const NUM_DOCS: u32 = u16::MAX as u32;

86
columnar/src/dynamic_column.rs
View File

@@ -3,11 +3,10 @@ use std::sync::Arc;
use std::{fmt, io}; use std::{fmt, io};
use common::file_slice::FileSlice; use common::file_slice::FileSlice;
use common::{ByteCount, DateTime, OwnedBytes}; use common::{ByteCount, DateTime, HasLen, OwnedBytes};
use serde::{Deserialize, Serialize};
use crate::column::{BytesColumn, Column, StrColumn}; use crate::column::{BytesColumn, Column, StrColumn};
use crate::column_values::{StrictlyMonotonicFn, monotonic_map_column}; use crate::column_values::{monotonic_map_column, StrictlyMonotonicFn};
use crate::columnar::ColumnType; use crate::columnar::ColumnType;
use crate::{Cardinality, ColumnIndex, ColumnValues, NumericalType, Version}; use crate::{Cardinality, ColumnIndex, ColumnValues, NumericalType, Version};
@@ -318,89 +317,10 @@ impl DynamicColumnHandle {
} }
pub fn num_bytes(&self) -> ByteCount { pub fn num_bytes(&self) -> ByteCount {
self.file_slice.num_bytes() self.file_slice.len().into()
}
/// Legacy helper returning the column space usage.
pub fn column_and_dictionary_num_bytes(&self) -> io::Result<ColumnSpaceUsage> {
self.space_usage()
}
/// Return the space usage of the column, optionally broken down by dictionary and column
/// values.
///
/// For dictionary encoded columns (strings and bytes), this splits the total footprint into
/// the dictionary and the remaining column data (including index and values).
/// For all other column types, the dictionary size is `None` and the column size
/// equals the total bytes.
pub fn space_usage(&self) -> io::Result<ColumnSpaceUsage> {
let total_num_bytes = self.num_bytes();
let dynamic_column = self.open()?;
let dictionary_num_bytes = match &dynamic_column {
DynamicColumn::Bytes(bytes_column) => bytes_column.dictionary().num_bytes(),
DynamicColumn::Str(str_column) => str_column.dictionary().num_bytes(),
_ => {
return Ok(ColumnSpaceUsage::new(self.num_bytes(), None));
}
};
assert!(dictionary_num_bytes <= total_num_bytes);
let column_num_bytes =
ByteCount::from(total_num_bytes.get_bytes() - dictionary_num_bytes.get_bytes());
Ok(ColumnSpaceUsage::new(
column_num_bytes,
Some(dictionary_num_bytes),
))
} }
pub fn column_type(&self) -> ColumnType { pub fn column_type(&self) -> ColumnType {
self.column_type self.column_type
} }
} }
/// Represents space usage of a column.
///
/// `column_num_bytes` tracks the column payload (index, values and footer).
/// For dictionary encoded columns, `dictionary_num_bytes` captures the dictionary footprint.
/// [`ColumnSpaceUsage::total_num_bytes`] returns the sum of both parts.
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct ColumnSpaceUsage {
column_num_bytes: ByteCount,
dictionary_num_bytes: Option<ByteCount>,
}
impl ColumnSpaceUsage {
pub(crate) fn new(
column_num_bytes: ByteCount,
dictionary_num_bytes: Option<ByteCount>,
) -> Self {
ColumnSpaceUsage {
column_num_bytes,
dictionary_num_bytes,
}
}
pub fn column_num_bytes(&self) -> ByteCount {
self.column_num_bytes
}
pub fn dictionary_num_bytes(&self) -> Option<ByteCount> {
self.dictionary_num_bytes
}
pub fn total_num_bytes(&self) -> ByteCount {
self.column_num_bytes + self.dictionary_num_bytes.unwrap_or_default()
}
/// Merge two space usage values by summing their components.
pub fn merge(&self, other: &ColumnSpaceUsage) -> ColumnSpaceUsage {
let dictionary_num_bytes = match (self.dictionary_num_bytes, other.dictionary_num_bytes) {
(Some(lhs), Some(rhs)) => Some(lhs + rhs),
(Some(val), None) | (None, Some(val)) => Some(val),
(None, None) => None,
};
ColumnSpaceUsage {
column_num_bytes: self.column_num_bytes + other.column_num_bytes,
dictionary_num_bytes,
}
}
}

13
columnar/src/lib.rs
View File

@@ -17,10 +17,15 @@
//! column. //! column.
//! - [column_values]: Stores the values of a column in a dense format. //! - [column_values]: Stores the values of a column in a dense format.
#![cfg_attr(all(feature = "unstable", test), feature(test))]
#[cfg(test)] #[cfg(test)]
#[macro_use] #[macro_use]
extern crate more_asserts; extern crate more_asserts;
#[cfg(all(test, feature = "unstable"))]
extern crate test;
use std::fmt::Display; use std::fmt::Display;
use std::io; use std::io;
@@ -39,16 +44,16 @@ pub use block_accessor::ColumnBlockAccessor;
pub use column::{BytesColumn, Column, StrColumn}; pub use column::{BytesColumn, Column, StrColumn};
pub use column_index::ColumnIndex; pub use column_index::ColumnIndex;
pub use column_values::{ pub use column_values::{
ColumnValues, EmptyColumnValues, MonotonicallyMappableToU64, MonotonicallyMappableToU128, ColumnValues, EmptyColumnValues, MonotonicallyMappableToU128, MonotonicallyMappableToU64,
}; };
pub use columnar::{ pub use columnar::{
CURRENT_VERSION, ColumnType, ColumnarReader, ColumnarWriter, HasAssociatedColumnType, merge_columnar, ColumnType, ColumnarReader, ColumnarWriter, HasAssociatedColumnType,
MergeRowOrder, ShuffleMergeOrder, StackMergeOrder, Version, merge_columnar, MergeRowOrder, ShuffleMergeOrder, StackMergeOrder, Version, CURRENT_VERSION,
}; };
use sstable::VoidSSTable; use sstable::VoidSSTable;
pub use value::{NumericalType, NumericalValue}; pub use value::{NumericalType, NumericalValue};
pub use self::dynamic_column::{ColumnSpaceUsage, DynamicColumn, DynamicColumnHandle}; pub use self::dynamic_column::{DynamicColumn, DynamicColumnHandle};
pub type RowId = u32; pub type RowId = u32;
pub type DocId = u32; pub type DocId = u32;

12
columnar/src/tests.rs
View File

@@ -60,7 +60,7 @@ fn test_dataframe_writer_bool() {
let DynamicColumn::Bool(bool_col) = dyn_bool_col else { let DynamicColumn::Bool(bool_col) = dyn_bool_col else {
panic!(); panic!();
}; };
let vals: Vec<Option<bool>> = (0..5).map(|doc_id| bool_col.first(doc_id)).collect(); let vals: Vec<Option<bool>> = (0..5).map(|row_id| bool_col.first(row_id)).collect();
assert_eq!(&vals, &[None, Some(false), None, Some(true), None,]); assert_eq!(&vals, &[None, Some(false), None, Some(true), None,]);
} }
@@ -108,7 +108,7 @@ fn test_dataframe_writer_ip_addr() {
let DynamicColumn::IpAddr(ip_col) = dyn_bool_col else { let DynamicColumn::IpAddr(ip_col) = dyn_bool_col else {
panic!(); panic!();
}; };
let vals: Vec<Option<Ipv6Addr>> = (0..5).map(|doc_id| ip_col.first(doc_id)).collect(); let vals: Vec<Option<Ipv6Addr>> = (0..5).map(|row_id| ip_col.first(row_id)).collect();
assert_eq!( assert_eq!(
&vals, &vals,
&[ &[
@@ -169,7 +169,7 @@ fn test_dictionary_encoded_str() {
let DynamicColumn::Str(str_col) = col_handles[0].open().unwrap() else { let DynamicColumn::Str(str_col) = col_handles[0].open().unwrap() else {
panic!(); panic!();
}; };
let index: Vec<Option<u64>> = (0..5).map(|doc_id| str_col.ords().first(doc_id)).collect(); let index: Vec<Option<u64>> = (0..5).map(|row_id| str_col.ords().first(row_id)).collect();
assert_eq!(index, &[None, Some(0), None, Some(2), Some(1)]); assert_eq!(index, &[None, Some(0), None, Some(2), Some(1)]);
assert_eq!(str_col.num_rows(), 5); assert_eq!(str_col.num_rows(), 5);
let mut term_buffer = String::new(); let mut term_buffer = String::new();
@@ -204,7 +204,7 @@ fn test_dictionary_encoded_bytes() {
panic!(); panic!();
}; };
let index: Vec<Option<u64>> = (0..5) let index: Vec<Option<u64>> = (0..5)
.map(|doc_id| bytes_col.ords().first(doc_id)) .map(|row_id| bytes_col.ords().first(row_id))
.collect(); .collect();
assert_eq!(index, &[None, Some(0), None, Some(2), Some(1)]); assert_eq!(index, &[None, Some(0), None, Some(2), Some(1)]);
assert_eq!(bytes_col.num_rows(), 5); assert_eq!(bytes_col.num_rows(), 5);
@@ -716,8 +716,8 @@ fn test_columnar_merging_number_columns() {
// TODO document edge case: required_columns incompatible with values. // TODO document edge case: required_columns incompatible with values.
#[allow(clippy::type_complexity)] #[allow(clippy::type_complexity)]
fn columnar_docs_and_remap() fn columnar_docs_and_remap(
-> impl Strategy<Value = (Vec<Vec<Vec<(&'static str, ColumnValue)>>>, Vec<RowAddr>)> { ) -> impl Strategy<Value = (Vec<Vec<Vec<(&'static str, ColumnValue)>>>, Vec<RowAddr>)> {
proptest::collection::vec(columnar_docs_strategy(), 2..=3).prop_flat_map( proptest::collection::vec(columnar_docs_strategy(), 2..=3).prop_flat_map(
|columnars_docs: Vec<Vec<Vec<(&str, ColumnValue)>>>| { |columnars_docs: Vec<Vec<Vec<(&str, ColumnValue)>>>| {
let row_addrs: Vec<RowAddr> = columnars_docs let row_addrs: Vec<RowAddr> = columnars_docs

76
columnar/src/value.rs
View File

@@ -1,5 +1,3 @@
use std::str::FromStr;
use common::DateTime; use common::DateTime;
use crate::InvalidData; use crate::InvalidData;
@@ -11,23 +9,6 @@ pub enum NumericalValue {
F64(f64), F64(f64),
} }
impl FromStr for NumericalValue {
type Err = ();
fn from_str(s: &str) -> Result<Self, ()> {
if let Ok(val_i64) = s.parse::<i64>() {
return Ok(val_i64.into());
}
if let Ok(val_u64) = s.parse::<u64>() {
return Ok(val_u64.into());
}
if let Ok(val_f64) = s.parse::<f64>() {
return Ok(NumericalValue::from(val_f64).normalize());
}
Err(())
}
}
impl NumericalValue { impl NumericalValue {
pub fn numerical_type(&self) -> NumericalType { pub fn numerical_type(&self) -> NumericalType {
match self { match self {
@@ -45,7 +26,7 @@ impl NumericalValue {
if val <= i64::MAX as u64 { if val <= i64::MAX as u64 {
NumericalValue::I64(val as i64) NumericalValue::I64(val as i64)
} else { } else {
NumericalValue::U64(val) NumericalValue::F64(val as f64)
} }
} }
NumericalValue::I64(val) => NumericalValue::I64(val), NumericalValue::I64(val) => NumericalValue::I64(val),
@@ -160,7 +141,6 @@ impl Coerce for DateTime {
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use super::NumericalType; use super::NumericalType;
use crate::NumericalValue;
#[test] #[test]
fn test_numerical_type_code() { fn test_numerical_type_code() {
@@ -173,58 +153,4 @@ mod tests {
} }
assert_eq!(num_numerical_type, 3); assert_eq!(num_numerical_type, 3);
} }
#[test]
fn test_parse_numerical() {
assert_eq!(
"123".parse::<NumericalValue>().unwrap(),
NumericalValue::I64(123)
);
assert_eq!(
"18446744073709551615".parse::<NumericalValue>().unwrap(),
NumericalValue::U64(18446744073709551615u64)
);
assert_eq!(
"1.0".parse::<NumericalValue>().unwrap(),
NumericalValue::I64(1i64)
);
assert_eq!(
"1.1".parse::<NumericalValue>().unwrap(),
NumericalValue::F64(1.1f64)
);
assert_eq!(
"-1.0".parse::<NumericalValue>().unwrap(),
NumericalValue::I64(-1i64)
);
}
#[test]
fn test_normalize_numerical() {
assert_eq!(
NumericalValue::from(1u64).normalize(),
NumericalValue::I64(1i64),
);
let limit_val = i64::MAX as u64 + 1u64;
assert_eq!(
NumericalValue::from(limit_val).normalize(),
NumericalValue::U64(limit_val),
);
assert_eq!(
NumericalValue::from(-1i64).normalize(),
NumericalValue::I64(-1i64),
);
assert_eq!(
NumericalValue::from(-2.0f64).normalize(),
NumericalValue::I64(-2i64),
);
assert_eq!(
NumericalValue::from(-2.1f64).normalize(),
NumericalValue::F64(-2.1f64),
);
let large_float = 2.0f64.powf(70.0f64);
assert_eq!(
NumericalValue::from(large_float).normalize(),
NumericalValue::F64(large_float),
);
}
} }

4
common/Cargo.toml
View File

@@ -1,9 +1,9 @@
[package] [package]
name = "tantivy-common" name = "tantivy-common"
version = "0.10.0" version = "0.9.0"
authors = ["Paul Masurel <paul@quickwit.io>", "Pascal Seitz <pascal@quickwit.io>"] authors = ["Paul Masurel <paul@quickwit.io>", "Pascal Seitz <pascal@quickwit.io>"]
license = "MIT" license = "MIT"
edition = "2024" edition = "2021"
description = "common traits and utility functions used by multiple tantivy subcrates" description = "common traits and utility functions used by multiple tantivy subcrates"
documentation = "https://docs.rs/tantivy_common/" documentation = "https://docs.rs/tantivy_common/"
homepage = "https://github.com/quickwit-oss/tantivy" homepage = "https://github.com/quickwit-oss/tantivy"

4
common/benches/bench.rs
View File

@@ -1,7 +1,7 @@
use binggan::{BenchRunner, black_box}; use binggan::{black_box, BenchRunner};
use rand::seq::IteratorRandom; use rand::seq::IteratorRandom;
use rand::thread_rng; use rand::thread_rng;
use tantivy_common::{BitSet, TinySet, serialize_vint_u32}; use tantivy_common::{serialize_vint_u32, BitSet, TinySet};
fn bench_vint() { fn bench_vint() {
let mut runner = BenchRunner::new(); let mut runner = BenchRunner::new();

10
common/src/bitset.rs
View File

@@ -181,17 +181,9 @@ pub struct BitSet {
len: u64, len: u64,
max_value: u32, max_value: u32,
} }
impl std::fmt::Debug for BitSet {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
f.debug_struct("BitSet")
.field("len", &self.len)
.field("max_value", &self.max_value)
.finish()
}
}
fn num_buckets(max_val: u32) -> u32 { fn num_buckets(max_val: u32) -> u32 {
max_val.div_ceil(64u32) (max_val + 63u32) / 64u32
} }
impl BitSet { impl BitSet {

16
common/src/bounds.rs
View File

@@ -65,11 +65,11 @@ pub fn transform_bound_inner_res<TFrom, TTo>(
) -> io::Result<Bound<TTo>> { ) -> io::Result<Bound<TTo>> {
use self::Bound::*; use self::Bound::*;
Ok(match bound { Ok(match bound {
Excluded(from_val) => match transform(from_val)? { Excluded(ref from_val) => match transform(from_val)? {
TransformBound::NewBound(new_val) => new_val, TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Excluded(new_val), TransformBound::Existing(new_val) => Excluded(new_val),
}, },
Included(from_val) => match transform(from_val)? { Included(ref from_val) => match transform(from_val)? {
TransformBound::NewBound(new_val) => new_val, TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Included(new_val), TransformBound::Existing(new_val) => Included(new_val),
}, },
@@ -85,11 +85,11 @@ pub fn transform_bound_inner<TFrom, TTo>(
) -> Bound<TTo> { ) -> Bound<TTo> {
use self::Bound::*; use self::Bound::*;
match bound { match bound {
Excluded(from_val) => match transform(from_val) { Excluded(ref from_val) => match transform(from_val) {
TransformBound::NewBound(new_val) => new_val, TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Excluded(new_val), TransformBound::Existing(new_val) => Excluded(new_val),
}, },
Included(from_val) => match transform(from_val) { Included(ref from_val) => match transform(from_val) {
TransformBound::NewBound(new_val) => new_val, TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Included(new_val), TransformBound::Existing(new_val) => Included(new_val),
}, },
@@ -111,8 +111,8 @@ pub fn map_bound<TFrom, TTo>(
) -> Bound<TTo> { ) -> Bound<TTo> {
use self::Bound::*; use self::Bound::*;
match bound { match bound {
Excluded(from_val) => Bound::Excluded(transform(from_val)), Excluded(ref from_val) => Bound::Excluded(transform(from_val)),
Included(from_val) => Bound::Included(transform(from_val)), Included(ref from_val) => Bound::Included(transform(from_val)),
Unbounded => Unbounded, Unbounded => Unbounded,
} }
} }
@@ -123,8 +123,8 @@ pub fn map_bound_res<TFrom, TTo, Err>(
) -> Result<Bound<TTo>, Err> { ) -> Result<Bound<TTo>, Err> {
use self::Bound::*; use self::Bound::*;
Ok(match bound { Ok(match bound {
Excluded(from_val) => Excluded(transform(from_val)?), Excluded(ref from_val) => Excluded(transform(from_val)?),
Included(from_val) => Included(transform(from_val)?), Included(ref from_val) => Included(transform(from_val)?),
Unbounded => Unbounded, Unbounded => Unbounded,
}) })
} }

4
common/src/file_slice.rs
View File

@@ -74,7 +74,7 @@ impl FileHandle for WrapFile {
{ {
use std::io::{Read, Seek}; use std::io::{Read, Seek};
let mut file = self.file.try_clone()?; // Clone the file to read from it separately let mut file = self.file.try_clone()?; // Clone the file to read from it separately
// Seek to the start position in the file // Seek to the start position in the file
file.seek(io::SeekFrom::Start(start as u64))?; file.seek(io::SeekFrom::Start(start as u64))?;
// Read the data into the buffer // Read the data into the buffer
file.read_exact(&mut buffer)?; file.read_exact(&mut buffer)?;
@@ -346,8 +346,8 @@ mod tests {
use std::sync::Arc; use std::sync::Arc;
use super::{FileHandle, FileSlice}; use super::{FileHandle, FileSlice};
use crate::HasLen;
use crate::file_slice::combine_ranges; use crate::file_slice::combine_ranges;
use crate::HasLen;
#[test] #[test]
fn test_file_slice() -> io::Result<()> { fn test_file_slice() -> io::Result<()> {

8
common/src/lib.rs
View File

@@ -22,7 +22,7 @@ pub use json_path_writer::JsonPathWriter;
pub use ownedbytes::{OwnedBytes, StableDeref}; pub use ownedbytes::{OwnedBytes, StableDeref};
pub use serialize::{BinarySerializable, DeserializeFrom, FixedSize}; pub use serialize::{BinarySerializable, DeserializeFrom, FixedSize};
pub use vint::{ pub use vint::{
VInt, VIntU128, read_u32_vint, read_u32_vint_no_advance, serialize_vint_u32, write_u32_vint, read_u32_vint, read_u32_vint_no_advance, serialize_vint_u32, write_u32_vint, VInt, VIntU128,
}; };
pub use writer::{AntiCallToken, CountingWriter, TerminatingWrite}; pub use writer::{AntiCallToken, CountingWriter, TerminatingWrite};
@@ -177,10 +177,8 @@ pub(crate) mod test {
#[test] #[test]
fn test_f64_order() { fn test_f64_order() {
assert!( assert!(!(f64_to_u64(f64::NEG_INFINITY)..f64_to_u64(f64::INFINITY))
!(f64_to_u64(f64::NEG_INFINITY)..f64_to_u64(f64::INFINITY)) .contains(&f64_to_u64(f64::NAN))); // nan is not a number
.contains(&f64_to_u64(f64::NAN))
); // nan is not a number
assert!(f64_to_u64(1.5) > f64_to_u64(1.0)); // same exponent, different mantissa assert!(f64_to_u64(1.5) > f64_to_u64(1.0)); // same exponent, different mantissa
assert!(f64_to_u64(2.0) > f64_to_u64(1.0)); // same mantissa, different exponent assert!(f64_to_u64(2.0) > f64_to_u64(1.0)); // same mantissa, different exponent
assert!(f64_to_u64(2.0) > f64_to_u64(1.5)); // different exponent and mantissa assert!(f64_to_u64(2.0) > f64_to_u64(1.5)); // different exponent and mantissa

6
common/src/vint.rs
View File

@@ -28,9 +28,7 @@ impl BinarySerializable for VIntU128 {
writer.write_all(&buffer) writer.write_all(&buffer)
} }
#[allow(clippy::unbuffered_bytes)]
fn deserialize<R: Read>(reader: &mut R) -> io::Result<Self> { fn deserialize<R: Read>(reader: &mut R) -> io::Result<Self> {
#[allow(clippy::unbuffered_bytes)]
let mut bytes = reader.bytes(); let mut bytes = reader.bytes();
let mut result = 0u128; let mut result = 0u128;
let mut shift = 0u64; let mut shift = 0u64;
@@ -197,9 +195,7 @@ impl BinarySerializable for VInt {
writer.write_all(&buffer[0..num_bytes]) writer.write_all(&buffer[0..num_bytes])
} }
#[allow(clippy::unbuffered_bytes)]
fn deserialize<R: Read>(reader: &mut R) -> io::Result<Self> { fn deserialize<R: Read>(reader: &mut R) -> io::Result<Self> {
#[allow(clippy::unbuffered_bytes)]
let mut bytes = reader.bytes(); let mut bytes = reader.bytes();
let mut result = 0u64; let mut result = 0u64;
let mut shift = 0u64; let mut shift = 0u64;
@@ -226,7 +222,7 @@ impl BinarySerializable for VInt {
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use super::{BinarySerializable, VInt, serialize_vint_u32}; use super::{serialize_vint_u32, BinarySerializable, VInt};
fn aux_test_vint(val: u64) { fn aux_test_vint(val: u64) {
let mut v = [14u8; 10]; let mut v = [14u8; 10];

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6
examples/basic_search.rs
View File

@@ -51,7 +51,7 @@ fn main() -> tantivy::Result<()> {
// Our second field is body. // Our second field is body.
// We want full-text search for it, but we do not // We want full-text search for it, but we do not
// need to be able to retrieve it // need to be able to be able to retrieve it
// for our application. // for our application.
// //
// We can make our index lighter by omitting the `STORED` flag. // We can make our index lighter by omitting the `STORED` flag.
@@ -208,7 +208,7 @@ fn main() -> tantivy::Result<()> {
// is the role of the `TopDocs` collector. // is the role of the `TopDocs` collector.
// We can now perform our query. // We can now perform our query.
let top_docs = searcher.search(&query, &TopDocs::with_limit(10).order_by_score())?; let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
// The actual documents still need to be // The actual documents still need to be
// retrieved from Tantivy's store. // retrieved from Tantivy's store.
@@ -226,7 +226,7 @@ fn main() -> tantivy::Result<()> {
let query = query_parser.parse_query("title:sea^20 body:whale^70")?; let query = query_parser.parse_query("title:sea^20 body:whale^70")?;
let (_score, doc_address) = searcher let (_score, doc_address) = searcher
.search(&query, &TopDocs::with_limit(1).order_by_score())? .search(&query, &TopDocs::with_limit(1))?
.into_iter() .into_iter()
.next() .next()
.unwrap(); .unwrap();

2
examples/custom_tokenizer.rs
View File

@@ -100,7 +100,7 @@ fn main() -> tantivy::Result<()> {
// here we want to get a hit on the 'ken' in Frankenstein // here we want to get a hit on the 'ken' in Frankenstein
let query = query_parser.parse_query("ken")?; let query = query_parser.parse_query("ken")?;
let top_docs = searcher.search(&query, &TopDocs::with_limit(10).order_by_score())?; let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
for (_, doc_address) in top_docs { for (_, doc_address) in top_docs {
let retrieved_doc: TantivyDocument = searcher.doc(doc_address)?; let retrieved_doc: TantivyDocument = searcher.doc(doc_address)?;

4
examples/date_time_field.rs
View File

@@ -50,14 +50,14 @@ fn main() -> tantivy::Result<()> {
{ {
// Simple exact search on the date // Simple exact search on the date
let query = query_parser.parse_query("occurred_at:\"2022-06-22T12:53:50.53Z\"")?; let query = query_parser.parse_query("occurred_at:\"2022-06-22T12:53:50.53Z\"")?;
let count_docs = searcher.search(&*query, &TopDocs::with_limit(5).order_by_score())?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(5))?;
assert_eq!(count_docs.len(), 1); assert_eq!(count_docs.len(), 1);
} }
{ {
// Range query on the date field // Range query on the date field
let query = query_parser let query = query_parser
.parse_query(r#"occurred_at:[2022-06-22T12:58:00Z TO 2022-06-23T00:00:00Z}"#)?; .parse_query(r#"occurred_at:[2022-06-22T12:58:00Z TO 2022-06-23T00:00:00Z}"#)?;
let count_docs = searcher.search(&*query, &TopDocs::with_limit(4).order_by_score())?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(4))?;
assert_eq!(count_docs.len(), 1); assert_eq!(count_docs.len(), 1);
for (_score, doc_address) in count_docs { for (_score, doc_address) in count_docs {
let retrieved_doc = searcher.doc::<TantivyDocument>(doc_address)?; let retrieved_doc = searcher.doc::<TantivyDocument>(doc_address)?;

2
examples/deleting_updating_documents.rs
View File

@@ -28,7 +28,7 @@ fn extract_doc_given_isbn(
// The second argument is here to tell we don't care about decoding positions, // The second argument is here to tell we don't care about decoding positions,
// or term frequencies. // or term frequencies.
let term_query = TermQuery::new(isbn_term.clone(), IndexRecordOption::Basic); let term_query = TermQuery::new(isbn_term.clone(), IndexRecordOption::Basic);
let top_docs = searcher.search(&term_query, &TopDocs::with_limit(1).order_by_score())?; let top_docs = searcher.search(&term_query, &TopDocs::with_limit(1))?;
if let Some((_score, doc_address)) = top_docs.first() { if let Some((_score, doc_address)) = top_docs.first() {
let doc = searcher.doc(*doc_address)?; let doc = searcher.doc(*doc_address)?;

212
examples/filter_aggregation.rs
View File

@@ -1,212 +0,0 @@
// # Filter Aggregation Example
//
// This example demonstrates filter aggregations - creating buckets of documents
// matching specific queries, with nested aggregations computed on each bucket.
//
// Filter aggregations are useful for computing metrics on different subsets of
// your data in a single query, like "average price overall + average price for
// electronics + count of in-stock items".
use serde_json::json;
use tantivy::aggregation::agg_req::Aggregations;
use tantivy::aggregation::AggregationCollector;
use tantivy::query::AllQuery;
use tantivy::schema::{Schema, FAST, INDEXED, TEXT};
use tantivy::{doc, Index};
fn main() -> tantivy::Result<()> {
// Create a simple product schema
let mut schema_builder = Schema::builder();
schema_builder.add_text_field("category", TEXT | FAST);
schema_builder.add_text_field("brand", TEXT | FAST);
schema_builder.add_u64_field("price", FAST);
schema_builder.add_f64_field("rating", FAST);
schema_builder.add_bool_field("in_stock", FAST | INDEXED);
let schema = schema_builder.build();
// Create index and add sample products
let index = Index::create_in_ram(schema.clone());
let mut writer = index.writer(50_000_000)?;
writer.add_document(doc!(
schema.get_field("category")? => "electronics",
schema.get_field("brand")? => "apple",
schema.get_field("price")? => 999u64,
schema.get_field("rating")? => 4.5f64,
schema.get_field("in_stock")? => true
))?;
writer.add_document(doc!(
schema.get_field("category")? => "electronics",
schema.get_field("brand")? => "samsung",
schema.get_field("price")? => 799u64,
schema.get_field("rating")? => 4.2f64,
schema.get_field("in_stock")? => true
))?;
writer.add_document(doc!(
schema.get_field("category")? => "clothing",
schema.get_field("brand")? => "nike",
schema.get_field("price")? => 120u64,
schema.get_field("rating")? => 4.1f64,
schema.get_field("in_stock")? => false
))?;
writer.add_document(doc!(
schema.get_field("category")? => "books",
schema.get_field("brand")? => "penguin",
schema.get_field("price")? => 25u64,
schema.get_field("rating")? => 4.8f64,
schema.get_field("in_stock")? => true
))?;
writer.commit()?;
let reader = index.reader()?;
let searcher = reader.searcher();
// Example 1: Basic filter with metric aggregation
println!("=== Example 1: Electronics average price ===");
let agg_req = json!({
"electronics": {
"filter": "category:electronics",
"aggs": {
"avg_price": { "avg": { "field": "price" } }
}
}
});
let agg: Aggregations = serde_json::from_value(agg_req)?;
let collector = AggregationCollector::from_aggs(agg, Default::default());
let result = searcher.search(&AllQuery, &collector)?;
let expected = json!({
"electronics": {
"doc_count": 2,
"avg_price": { "value": 899.0 }
}
});
assert_eq!(serde_json::to_value(&result)?, expected);
println!("{}\n", serde_json::to_string_pretty(&result)?);
// Example 2: Multiple independent filters
println!("=== Example 2: Multiple filters in one query ===");
let agg_req = json!({
"electronics": {
"filter": "category:electronics",
"aggs": { "avg_price": { "avg": { "field": "price" } } }
},
"in_stock": {
"filter": "in_stock:true",
"aggs": { "count": { "value_count": { "field": "brand" } } }
},
"high_rated": {
"filter": "rating:[4.5 TO *]",
"aggs": { "count": { "value_count": { "field": "brand" } } }
}
});
let agg: Aggregations = serde_json::from_value(agg_req)?;
let collector = AggregationCollector::from_aggs(agg, Default::default());
let result = searcher.search(&AllQuery, &collector)?;
let expected = json!({
"electronics": {
"doc_count": 2,
"avg_price": { "value": 899.0 }
},
"in_stock": {
"doc_count": 3,
"count": { "value": 3.0 }
},
"high_rated": {
"doc_count": 2,
"count": { "value": 2.0 }
}
});
assert_eq!(serde_json::to_value(&result)?, expected);
println!("{}\n", serde_json::to_string_pretty(&result)?);
// Example 3: Nested filters - progressive refinement
println!("=== Example 3: Nested filters ===");
let agg_req = json!({
"in_stock": {
"filter": "in_stock:true",
"aggs": {
"electronics": {
"filter": "category:electronics",
"aggs": {
"expensive": {
"filter": "price:[800 TO *]",
"aggs": {
"avg_rating": { "avg": { "field": "rating" } }
}
}
}
}
}
}
});
let agg: Aggregations = serde_json::from_value(agg_req)?;
let collector = AggregationCollector::from_aggs(agg, Default::default());
let result = searcher.search(&AllQuery, &collector)?;
let expected = json!({
"in_stock": {
"doc_count": 3, // apple, samsung, penguin
"electronics": {
"doc_count": 2, // apple, samsung
"expensive": {
"doc_count": 1, // only apple (999)
"avg_rating": { "value": 4.5 }
}
}
}
});
assert_eq!(serde_json::to_value(&result)?, expected);
println!("{}\n", serde_json::to_string_pretty(&result)?);
// Example 4: Filter with sub-aggregation (terms)
println!("=== Example 4: Filter with terms sub-aggregation ===");
let agg_req = json!({
"electronics": {
"filter": "category:electronics",
"aggs": {
"by_brand": {
"terms": { "field": "brand" },
"aggs": {
"avg_price": { "avg": { "field": "price" } }
}
}
}
}
});
let agg: Aggregations = serde_json::from_value(agg_req)?;
let collector = AggregationCollector::from_aggs(agg, Default::default());
let result = searcher.search(&AllQuery, &collector)?;
let expected = json!({
"electronics": {
"doc_count": 2,
"by_brand": {
"buckets": [
{
"key": "samsung",
"doc_count": 1,
"avg_price": { "value": 799.0 }
},
{
"key": "apple",
"doc_count": 1,
"avg_price": { "value": 999.0 }
}
],
"sum_other_doc_count": 0,
"doc_count_error_upper_bound": 0
}
}
});
assert_eq!(serde_json::to_value(&result)?, expected);
println!("{}", serde_json::to_string_pretty(&result)?);
Ok(())
}

3
examples/fuzzy_search.rs
View File

@@ -85,6 +85,7 @@ fn main() -> tantivy::Result<()> {
index_writer.add_document(doc!( index_writer.add_document(doc!(
title => "The Diary of a Young Girl", title => "The Diary of a Young Girl",
))?; ))?;
index_writer.commit()?;
// ### Committing // ### Committing
// //
@@ -145,7 +146,7 @@ fn main() -> tantivy::Result<()> {
let query = FuzzyTermQuery::new(term, 2, true); let query = FuzzyTermQuery::new(term, 2, true);
let (top_docs, count) = searcher let (top_docs, count) = searcher
.search(&query, &(TopDocs::with_limit(5).order_by_score(), Count)) .search(&query, &(TopDocs::with_limit(5), Count))
.unwrap(); .unwrap();
assert_eq!(count, 3); assert_eq!(count, 3);
assert_eq!(top_docs.len(), 3); assert_eq!(top_docs.len(), 3);

8
examples/ip_field.rs
View File

@@ -69,25 +69,25 @@ fn main() -> tantivy::Result<()> {
{ {
// Inclusive range queries // Inclusive range queries
let query = query_parser.parse_query("ip:[192.168.0.80 TO 192.168.0.100]")?; let query = query_parser.parse_query("ip:[192.168.0.80 TO 192.168.0.100]")?;
let count_docs = searcher.search(&*query, &TopDocs::with_limit(5).order_by_score())?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(5))?;
assert_eq!(count_docs.len(), 1); assert_eq!(count_docs.len(), 1);
} }
{ {
// Exclusive range queries // Exclusive range queries
let query = query_parser.parse_query("ip:{192.168.0.80 TO 192.168.1.100]")?; let query = query_parser.parse_query("ip:{192.168.0.80 TO 192.168.1.100]")?;
let count_docs = searcher.search(&*query, &TopDocs::with_limit(2).order_by_score())?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(2))?;
assert_eq!(count_docs.len(), 0); assert_eq!(count_docs.len(), 0);
} }
{ {
// Find docs with IP addresses smaller equal 192.168.1.100 // Find docs with IP addresses smaller equal 192.168.1.100
let query = query_parser.parse_query("ip:[* TO 192.168.1.100]")?; let query = query_parser.parse_query("ip:[* TO 192.168.1.100]")?;
let count_docs = searcher.search(&*query, &TopDocs::with_limit(2).order_by_score())?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(2))?;
assert_eq!(count_docs.len(), 2); assert_eq!(count_docs.len(), 2);
} }
{ {
// Find docs with IP addresses smaller than 192.168.1.100 // Find docs with IP addresses smaller than 192.168.1.100
let query = query_parser.parse_query("ip:[* TO 192.168.1.100}")?; let query = query_parser.parse_query("ip:[* TO 192.168.1.100}")?;
let count_docs = searcher.search(&*query, &TopDocs::with_limit(2).order_by_score())?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(2))?;
assert_eq!(count_docs.len(), 2); assert_eq!(count_docs.len(), 2);
} }

14
examples/json_field.rs
View File

@@ -59,12 +59,12 @@ fn main() -> tantivy::Result<()> {
let query_parser = QueryParser::for_index(&index, vec![event_type, attributes]); let query_parser = QueryParser::for_index(&index, vec![event_type, attributes]);
{ {
let query = query_parser.parse_query("target:submit-button")?; let query = query_parser.parse_query("target:submit-button")?;
let count_docs = searcher.search(&*query, &TopDocs::with_limit(2).order_by_score())?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(2))?;
assert_eq!(count_docs.len(), 2); assert_eq!(count_docs.len(), 2);
} }
{ {
let query = query_parser.parse_query("target:submit")?; let query = query_parser.parse_query("target:submit")?;
let count_docs = searcher.search(&*query, &TopDocs::with_limit(2).order_by_score())?; let count_docs = searcher.search(&*query, &TopDocs::with_limit(2))?;
assert_eq!(count_docs.len(), 2); assert_eq!(count_docs.len(), 2);
} }
{ {
@@ -74,33 +74,33 @@ fn main() -> tantivy::Result<()> {
} }
{ {
let query = query_parser.parse_query("click AND cart.product_id:133")?; let query = query_parser.parse_query("click AND cart.product_id:133")?;
let hits = searcher.search(&*query, &TopDocs::with_limit(2).order_by_score())?; let hits = searcher.search(&*query, &TopDocs::with_limit(2))?;
assert_eq!(hits.len(), 1); assert_eq!(hits.len(), 1);
} }
{ {
// The sub-fields in the json field marked as default field still need to be explicitly // The sub-fields in the json field marked as default field still need to be explicitly
// addressed // addressed
let query = query_parser.parse_query("click AND 133")?; let query = query_parser.parse_query("click AND 133")?;
let hits = searcher.search(&*query, &TopDocs::with_limit(2).order_by_score())?; let hits = searcher.search(&*query, &TopDocs::with_limit(2))?;
assert_eq!(hits.len(), 0); assert_eq!(hits.len(), 0);
} }
{ {
// Default json fields are ignored if they collide with the schema // Default json fields are ignored if they collide with the schema
let query = query_parser.parse_query("event_type:holiday-sale")?; let query = query_parser.parse_query("event_type:holiday-sale")?;
let hits = searcher.search(&*query, &TopDocs::with_limit(2).order_by_score())?; let hits = searcher.search(&*query, &TopDocs::with_limit(2))?;
assert_eq!(hits.len(), 0); assert_eq!(hits.len(), 0);
} }
// # Query via full attribute path // # Query via full attribute path
{ {
// This only searches in our schema's `event_type` field // This only searches in our schema's `event_type` field
let query = query_parser.parse_query("event_type:click")?; let query = query_parser.parse_query("event_type:click")?;
let hits = searcher.search(&*query, &TopDocs::with_limit(2).order_by_score())?; let hits = searcher.search(&*query, &TopDocs::with_limit(2))?;
assert_eq!(hits.len(), 2); assert_eq!(hits.len(), 2);
} }
{ {
// Default json fields can still be accessed by full path // Default json fields can still be accessed by full path
let query = query_parser.parse_query("attributes.event_type:holiday-sale")?; let query = query_parser.parse_query("attributes.event_type:holiday-sale")?;
let hits = searcher.search(&*query, &TopDocs::with_limit(2).order_by_score())?; let hits = searcher.search(&*query, &TopDocs::with_limit(2))?;
assert_eq!(hits.len(), 1); assert_eq!(hits.len(), 1);
} }
Ok(()) Ok(())

2
examples/phrase_prefix_search.rs
View File

@@ -63,7 +63,7 @@ fn main() -> Result<()> {
// but not "in the Gulf Stream". // but not "in the Gulf Stream".
let query = query_parser.parse_query("\"in the su\"*")?; let query = query_parser.parse_query("\"in the su\"*")?;
let top_docs = searcher.search(&query, &TopDocs::with_limit(10).order_by_score())?; let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
let mut titles = top_docs let mut titles = top_docs
.into_iter() .into_iter()
.map(|(_score, doc_address)| { .map(|(_score, doc_address)| {

6
examples/pre_tokenized_text.rs
View File

@@ -107,8 +107,7 @@ fn main() -> tantivy::Result<()> {
IndexRecordOption::Basic, IndexRecordOption::Basic,
); );
let (top_docs, count) = let (top_docs, count) = searcher.search(&query, &(TopDocs::with_limit(2), Count))?;
searcher.search(&query, &(TopDocs::with_limit(2).order_by_score(), Count))?;
assert_eq!(count, 2); assert_eq!(count, 2);
@@ -129,8 +128,7 @@ fn main() -> tantivy::Result<()> {
IndexRecordOption::Basic, IndexRecordOption::Basic,
); );
let (_top_docs, count) = let (_top_docs, count) = searcher.search(&query, &(TopDocs::with_limit(2), Count))?;
searcher.search(&query, &(TopDocs::with_limit(2).order_by_score(), Count))?;
assert_eq!(count, 0); assert_eq!(count, 0);

2
examples/snippet.rs
View File

@@ -50,7 +50,7 @@ fn main() -> tantivy::Result<()> {
let query_parser = QueryParser::for_index(&index, vec![title, body]); let query_parser = QueryParser::for_index(&index, vec![title, body]);
let query = query_parser.parse_query("sycamore spring")?; let query = query_parser.parse_query("sycamore spring")?;
let top_docs = searcher.search(&query, &TopDocs::with_limit(10).order_by_score())?; let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
let snippet_generator = SnippetGenerator::create(&searcher, &*query, body)?; let snippet_generator = SnippetGenerator::create(&searcher, &*query, body)?;

2
examples/stop_words.rs
View File

@@ -102,7 +102,7 @@ fn main() -> tantivy::Result<()> {
// stop words are applied on the query as well. // stop words are applied on the query as well.
// The following will be equivalent to `title:frankenstein` // The following will be equivalent to `title:frankenstein`
let query = query_parser.parse_query("title:\"the Frankenstein\"")?; let query = query_parser.parse_query("title:\"the Frankenstein\"")?;
let top_docs = searcher.search(&query, &TopDocs::with_limit(10).order_by_score())?; let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;
for (score, doc_address) in top_docs { for (score, doc_address) in top_docs {
let retrieved_doc: TantivyDocument = searcher.doc(doc_address)?; let retrieved_doc: TantivyDocument = searcher.doc(doc_address)?;

2
examples/warmer.rs
View File

@@ -164,7 +164,7 @@ fn main() -> tantivy::Result<()> {
move |doc_id: DocId| Reverse(price[doc_id as usize]) move |doc_id: DocId| Reverse(price[doc_id as usize])
}; };
let most_expensive_first = TopDocs::with_limit(10).order_by(score_by_price); let most_expensive_first = TopDocs::with_limit(10).custom_score(score_by_price);
let hits = searcher.search(&query, &most_expensive_first)?; let hits = searcher.search(&query, &most_expensive_first)?;
assert_eq!( assert_eq!(

6
query-grammar/Cargo.toml
View File

@@ -1,6 +1,6 @@
[package] [package]
name = "tantivy-query-grammar" name = "tantivy-query-grammar"
version = "0.25.0" version = "0.24.0"
authors = ["Paul Masurel <paul.masurel@gmail.com>"] authors = ["Paul Masurel <paul.masurel@gmail.com>"]
license = "MIT" license = "MIT"
categories = ["database-implementations", "data-structures"] categories = ["database-implementations", "data-structures"]
@@ -9,11 +9,9 @@ homepage = "https://github.com/quickwit-oss/tantivy"
repository = "https://github.com/quickwit-oss/tantivy" repository = "https://github.com/quickwit-oss/tantivy"
readme = "README.md" readme = "README.md"
keywords = ["search", "information", "retrieval"] keywords = ["search", "information", "retrieval"]
edition = "2024" edition = "2021"
[dependencies] [dependencies]
nom = "7" nom = "7"
serde = { version = "1.0.219", features = ["derive"] } serde = { version = "1.0.219", features = ["derive"] }
serde_json = "1.0.140" serde_json = "1.0.140"
ordered-float = "5.0.0"
fnv = "1.0.7"

26
query-grammar/src/infallible.rs
View File

@@ -117,22 +117,6 @@ where F: nom::Parser<I, (O, ErrorList), Infallible> {
} }
} }
pub(crate) fn terminated_infallible<I, O1, O2, F, G>(
mut first: F,
mut second: G,
) -> impl FnMut(I) -> JResult<I, O1>
where
F: nom::Parser<I, (O1, ErrorList), Infallible>,
G: nom::Parser<I, (O2, ErrorList), Infallible>,
{
move |input: I| {
let (input, (o1, mut err)) = first.parse(input)?;
let (input, (_, mut err2)) = second.parse(input)?;
err.append(&mut err2);
Ok((input, (o1, err)))
}
}
pub(crate) fn delimited_infallible<I, O1, O2, O3, F, G, H>( pub(crate) fn delimited_infallible<I, O1, O2, O3, F, G, H>(
mut first: F, mut first: F,
mut second: G, mut second: G,
@@ -202,19 +186,19 @@ macro_rules! tuple_trait_impl(
); );
macro_rules! tuple_trait_inner( macro_rules! tuple_trait_inner(
($it:tt, $self:expr_2021, $input:expr_2021, (), $error_list:expr_2021, $head:ident $($id:ident)+) => ({ ($it:tt, $self:expr, $input:expr, (), $error_list:expr, $head:ident $($id:ident)+) => ({
let (i, (o, mut err)) = $self.$it.parse($input.clone())?; let (i, (o, mut err)) = $self.$it.parse($input.clone())?;
$error_list.append(&mut err); $error_list.append(&mut err);
succ!($it, tuple_trait_inner!($self, i, ( o ), $error_list, $($id)+)) succ!($it, tuple_trait_inner!($self, i, ( o ), $error_list, $($id)+))
}); });
($it:tt, $self:expr_2021, $input:expr_2021, ($($parsed:tt)*), $error_list:expr_2021, $head:ident $($id:ident)+) => ({ ($it:tt, $self:expr, $input:expr, ($($parsed:tt)*), $error_list:expr, $head:ident $($id:ident)+) => ({
let (i, (o, mut err)) = $self.$it.parse($input.clone())?; let (i, (o, mut err)) = $self.$it.parse($input.clone())?;
$error_list.append(&mut err); $error_list.append(&mut err);
succ!($it, tuple_trait_inner!($self, i, ($($parsed)* , o), $error_list, $($id)+)) succ!($it, tuple_trait_inner!($self, i, ($($parsed)* , o), $error_list, $($id)+))
}); });
($it:tt, $self:expr_2021, $input:expr_2021, ($($parsed:tt)*), $error_list:expr_2021, $head:ident) => ({ ($it:tt, $self:expr, $input:expr, ($($parsed:tt)*), $error_list:expr, $head:ident) => ({
let (i, (o, mut err)) = $self.$it.parse($input.clone())?; let (i, (o, mut err)) = $self.$it.parse($input.clone())?;
$error_list.append(&mut err); $error_list.append(&mut err);
@@ -344,13 +328,13 @@ macro_rules! alt_trait_impl(
); );
macro_rules! alt_trait_inner( macro_rules! alt_trait_inner(
($it:tt, $self:expr_2021, $input:expr_2021, $head_cond:ident $head:ident, $($id_cond:ident $id:ident),+) => ( ($it:tt, $self:expr, $input:expr, $head_cond:ident $head:ident, $($id_cond:ident $id:ident),+) => (
match $self.$it.0.parse($input.clone()) { match $self.$it.0.parse($input.clone()) {
Err(_) => succ!($it, alt_trait_inner!($self, $input, $($id_cond $id),+)), Err(_) => succ!($it, alt_trait_inner!($self, $input, $($id_cond $id),+)),
Ok((input_left, _)) => Some($self.$it.1.parse(input_left)), Ok((input_left, _)) => Some($self.$it.1.parse(input_left)),
} }
); );
($it:tt, $self:expr_2021, $input:expr_2021, $head_cond:ident $head:ident) => ( ($it:tt, $self:expr, $input:expr, $head_cond:ident $head:ident) => (
None None
); );
); );

12
query-grammar/src/lib.rs
View File

@@ -31,17 +31,7 @@ pub fn parse_query_lenient(query: &str) -> (UserInputAst, Vec<LenientError>) {
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use crate::{UserInputAst, parse_query, parse_query_lenient}; use crate::{parse_query, parse_query_lenient};
#[test]
fn test_deduplication() {
let ast: UserInputAst = parse_query("a a").unwrap();
let json = serde_json::to_string(&ast).unwrap();
assert_eq!(
json,
r#"{"type":"bool","clauses":[[null,{"type":"literal","field_name":null,"phrase":"a","delimiter":"none","slop":0,"prefix":false}]]}"#
);
}
#[test] #[test]
fn test_parse_query_serialization() { fn test_parse_query_serialization() {

220
query-grammar/src/query_grammar.rs
View File

@@ -1,8 +1,6 @@
use std::borrow::Cow; use std::borrow::Cow;
use std::iter::once; use std::iter::once;
use fnv::FnvHashSet;
use nom::IResult;
use nom::branch::alt; use nom::branch::alt;
use nom::bytes::complete::tag; use nom::bytes::complete::tag;
use nom::character::complete::{ use nom::character::complete::{
@@ -12,11 +10,12 @@ use nom::combinator::{eof, map, map_res, opt, peek, recognize, value, verify};
use nom::error::{Error, ErrorKind}; use nom::error::{Error, ErrorKind};
use nom::multi::{many0, many1, separated_list0}; use nom::multi::{many0, many1, separated_list0};
use nom::sequence::{delimited, preceded, separated_pair, terminated, tuple}; use nom::sequence::{delimited, preceded, separated_pair, terminated, tuple};
use nom::IResult;
use super::user_input_ast::{UserInputAst, UserInputBound, UserInputLeaf, UserInputLiteral}; use super::user_input_ast::{UserInputAst, UserInputBound, UserInputLeaf, UserInputLiteral};
use crate::Occur;
use crate::infallible::*; use crate::infallible::*;
use crate::user_input_ast::Delimiter; use crate::user_input_ast::Delimiter;
use crate::Occur;
// Note: '-' char is only forbidden at the beginning of a field name, would be clearer to add it to // Note: '-' char is only forbidden at the beginning of a field name, would be clearer to add it to
// special characters. // special characters.
@@ -37,7 +36,7 @@ fn field_name(inp: &str) -> IResult<&str, String> {
alt((first_char, escape_sequence())), alt((first_char, escape_sequence())),
many0(alt((simple_char, escape_sequence(), char('\\')))), many0(alt((simple_char, escape_sequence(), char('\\')))),
)), )),
tuple((multispace0, char(':'), multispace0)), char(':'),
), ),
|(first_char, next)| once(first_char).chain(next).collect(), |(first_char, next)| once(first_char).chain(next).collect(),
)(inp) )(inp)
@@ -69,7 +68,7 @@ fn interpret_escape(source: &str) -> String {
/// Consume a word outside of any context. /// Consume a word outside of any context.
// TODO should support escape sequences // TODO should support escape sequences
fn word(inp: &str) -> IResult<&str, Cow<'_, str>> { fn word(inp: &str) -> IResult<&str, Cow<str>> {
map_res( map_res(
recognize(tuple(( recognize(tuple((
alt(( alt((
@@ -306,14 +305,15 @@ fn term_group_infallible(inp: &str) -> JResult<&str, UserInputAst> {
let (inp, (field_name, _, _, _)) = let (inp, (field_name, _, _, _)) =
tuple((field_name, multispace0, char('('), multispace0))(inp).expect("precondition failed"); tuple((field_name, multispace0, char('('), multispace0))(inp).expect("precondition failed");
delimited_infallible( let res = delimited_infallible(
nothing, nothing,
map(ast_infallible, |(mut ast, errors)| { map(ast_infallible, |(mut ast, errors)| {
ast.set_default_field(field_name.to_string()); ast.set_default_field(field_name.to_string());
(ast, errors) (ast, errors)
}), }),
opt_i_err(char(')'), "expected ')'"), opt_i_err(char(')'), "expected ')'"),
)(inp) )(inp);
res
} }
fn exists(inp: &str) -> IResult<&str, UserInputLeaf> { fn exists(inp: &str) -> IResult<&str, UserInputLeaf> {
@@ -367,10 +367,7 @@ fn literal(inp: &str) -> IResult<&str, UserInputAst> {
// something (a field name) got parsed before // something (a field name) got parsed before
alt(( alt((
map( map(
tuple(( tuple((opt(field_name), alt((range, set, exists, term_or_phrase)))),
opt(field_name),
alt((range, set, exists, regex, term_or_phrase)),
)),
|(field_name, leaf): (Option<String>, UserInputLeaf)| leaf.set_field(field_name).into(), |(field_name, leaf): (Option<String>, UserInputLeaf)| leaf.set_field(field_name).into(),
), ),
term_group, term_group,
@@ -392,10 +389,6 @@ fn literal_no_group_infallible(inp: &str) -> JResult<&str, Option<UserInputAst>>
value((), peek(one_of("{[><"))), value((), peek(one_of("{[><"))),
map(range_infallible, |(range, errs)| (Some(range), errs)), map(range_infallible, |(range, errs)| (Some(range), errs)),
), ),
(
value((), peek(one_of("/"))),
map(regex_infallible, |(regex, errs)| (Some(regex), errs)),
),
), ),
delimited_infallible(space0_infallible, term_or_phrase_infallible, nothing), delimited_infallible(space0_infallible, term_or_phrase_infallible, nothing),
), ),
@@ -696,61 +689,6 @@ fn set_infallible(mut inp: &str) -> JResult<&str, UserInputLeaf> {
} }
} }
fn regex(inp: &str) -> IResult<&str, UserInputLeaf> {
map(
terminated(
delimited(
char('/'),
many1(alt((preceded(char('\\'), char('/')), none_of("/")))),
char('/'),
),
peek(alt((multispace1, eof))),
),
|elements| UserInputLeaf::Regex {
field: None,
pattern: elements.into_iter().collect::<String>(),
},
)(inp)
}
fn regex_infallible(inp: &str) -> JResult<&str, UserInputLeaf> {
match terminated_infallible(
delimited_infallible(
opt_i_err(char('/'), "missing delimiter /"),
opt_i(many1(alt((preceded(char('\\'), char('/')), none_of("/"))))),
opt_i_err(char('/'), "missing delimiter /"),
),
opt_i_err(
peek(alt((multispace1, eof))),
"expected whitespace or end of input",
),
)(inp)
{
Ok((rest, (elements_part, errors))) => {
let pattern = match elements_part {
Some(elements_part) => elements_part.into_iter().collect(),
None => String::new(),
};
let res = UserInputLeaf::Regex {
field: None,
pattern,
};
Ok((rest, (res, errors)))
}
Err(e) => {
let errs = vec![LenientErrorInternal {
pos: inp.len(),
message: e.to_string(),
}];
let res = UserInputLeaf::Regex {
field: None,
pattern: String::new(),
};
Ok((inp, (res, errs)))
}
}
}
fn negate(expr: UserInputAst) -> UserInputAst { fn negate(expr: UserInputAst) -> UserInputAst {
expr.unary(Occur::MustNot) expr.unary(Occur::MustNot)
} }
@@ -758,17 +696,7 @@ fn negate(expr: UserInputAst) -> UserInputAst {
fn leaf(inp: &str) -> IResult<&str, UserInputAst> { fn leaf(inp: &str) -> IResult<&str, UserInputAst> {
alt(( alt((
delimited(char('('), ast, char(')')), delimited(char('('), ast, char(')')),
map( map(char('*'), |_| UserInputAst::from(UserInputLeaf::All)),
terminated(
char('*'),
peek(alt((
value((), multispace1),
value((), char(')')),
value((), eof),
))),
),
|_| UserInputAst::from(UserInputLeaf::All),
),
map(preceded(tuple((tag("NOT"), multispace1)), leaf), negate), map(preceded(tuple((tag("NOT"), multispace1)), leaf), negate),
literal, literal,
))(inp) ))(inp)
@@ -789,17 +717,7 @@ fn leaf_infallible(inp: &str) -> JResult<&str, Option<UserInputAst>> {
), ),
), ),
( (
value( value((), char('*')),
(),
terminated(
char('*'),
peek(alt((
value((), multispace1),
value((), char(')')),
value((), eof),
))),
),
),
map(nothing, |_| { map(nothing, |_| {
(Some(UserInputAst::from(UserInputLeaf::All)), Vec::new()) (Some(UserInputAst::from(UserInputLeaf::All)), Vec::new())
}), }),
@@ -835,7 +753,7 @@ fn boosted_leaf(inp: &str) -> IResult<&str, UserInputAst> {
tuple((leaf, fallible(boost))), tuple((leaf, fallible(boost))),
|(leaf, boost_opt)| match boost_opt { |(leaf, boost_opt)| match boost_opt {
Some(boost) if (boost - 1.0).abs() > f64::EPSILON => { Some(boost) if (boost - 1.0).abs() > f64::EPSILON => {
UserInputAst::Boost(Box::new(leaf), boost.into()) UserInputAst::Boost(Box::new(leaf), boost)
} }
_ => leaf, _ => leaf,
}, },
@@ -847,7 +765,7 @@ fn boosted_leaf_infallible(inp: &str) -> JResult<&str, Option<UserInputAst>> {
tuple_infallible((leaf_infallible, boost)), tuple_infallible((leaf_infallible, boost)),
|((leaf, boost_opt), error)| match boost_opt { |((leaf, boost_opt), error)| match boost_opt {
Some(boost) if (boost - 1.0).abs() > f64::EPSILON => ( Some(boost) if (boost - 1.0).abs() > f64::EPSILON => (
leaf.map(|leaf| UserInputAst::Boost(Box::new(leaf), boost.into())), leaf.map(|leaf| UserInputAst::Boost(Box::new(leaf), boost)),
error, error,
), ),
_ => (leaf, error), _ => (leaf, error),
@@ -1098,25 +1016,12 @@ pub fn parse_to_ast_lenient(query_str: &str) -> (UserInputAst, Vec<LenientError>
(rewrite_ast(res), errors) (rewrite_ast(res), errors)
} }
/// Removes unnecessary children clauses in AST
///
/// Motivated by [issue #1433](https://github.com/quickwit-oss/tantivy/issues/1433)
fn rewrite_ast(mut input: UserInputAst) -> UserInputAst { fn rewrite_ast(mut input: UserInputAst) -> UserInputAst {
if let UserInputAst::Clause(sub_clauses) = &mut input { if let UserInputAst::Clause(terms) = &mut input {
// call rewrite_ast recursively on children clauses if applicable for term in terms {
let mut new_clauses = Vec::with_capacity(sub_clauses.len());
for (occur, clause) in sub_clauses.drain(..) {
let rewritten_clause = rewrite_ast(clause);
new_clauses.push((occur, rewritten_clause));
}
*sub_clauses = new_clauses;
// remove duplicate child clauses
// e.g. (+a +b) OR (+c +d) OR (+a +b) => (+a +b) OR (+c +d)
let mut seen = FnvHashSet::default();
sub_clauses.retain(|term| seen.insert(term.clone()));
// Removes unnecessary children clauses in AST
//
// Motivated by [issue #1433](https://github.com/quickwit-oss/tantivy/issues/1433)
for term in sub_clauses {
rewrite_ast_clause(term); rewrite_ast_clause(term);
} }
} }
@@ -1125,7 +1030,7 @@ fn rewrite_ast(mut input: UserInputAst) -> UserInputAst {
fn rewrite_ast_clause(input: &mut (Option<Occur>, UserInputAst)) { fn rewrite_ast_clause(input: &mut (Option<Occur>, UserInputAst)) {
match input { match input {
(None, UserInputAst::Clause(clauses)) if clauses.len() == 1 => { (None, UserInputAst::Clause(ref mut clauses)) if clauses.len() == 1 => {
*input = clauses.pop().unwrap(); // safe because clauses.len() == 1 *input = clauses.pop().unwrap(); // safe because clauses.len() == 1
} }
_ => {} _ => {}
@@ -1378,10 +1283,6 @@ mod test {
super::field_name("~my~field:a"), super::field_name("~my~field:a"),
Ok(("a", "~my~field".to_string())) Ok(("a", "~my~field".to_string()))
); );
assert_eq!(
super::field_name(".my.field.name : a"),
Ok(("a", ".my.field.name".to_string()))
);
for special_char in SPECIAL_CHARS.iter() { for special_char in SPECIAL_CHARS.iter() {
let query = &format!("\\{special_char}my\\{special_char}field:a"); let query = &format!("\\{special_char}my\\{special_char}field:a");
assert_eq!( assert_eq!(
@@ -1475,7 +1376,7 @@ mod test {
#[test] #[test]
fn test_range_parser_lenient() { fn test_range_parser_lenient() {
let literal = |query| literal_infallible(query).unwrap().1.0.unwrap(); let literal = |query| literal_infallible(query).unwrap().1 .0.unwrap();
// same tests as non-lenient // same tests as non-lenient
let res = literal("title: <hello"); let res = literal("title: <hello");
@@ -1691,21 +1592,6 @@ mod test {
test_parse_query_to_ast_helper("abc:a b", "(*\"abc\":a *b)"); test_parse_query_to_ast_helper("abc:a b", "(*\"abc\":a *b)");
test_parse_query_to_ast_helper("abc:\"a b\"", "\"abc\":\"a b\""); test_parse_query_to_ast_helper("abc:\"a b\"", "\"abc\":\"a b\"");
test_parse_query_to_ast_helper("foo:[1 TO 5]", "\"foo\":[\"1\" TO \"5\"]"); test_parse_query_to_ast_helper("foo:[1 TO 5]", "\"foo\":[\"1\" TO \"5\"]");
// Phrase prefixed with *
test_parse_query_to_ast_helper("foo:(*A)", "\"foo\":*A");
test_parse_query_to_ast_helper("*A", "*A");
test_parse_query_to_ast_helper("(*A)", "*A");
test_parse_query_to_ast_helper("foo:(A OR B)", "(?\"foo\":A ?\"foo\":B)");
test_parse_query_to_ast_helper("foo:(A* OR B*)", "(?\"foo\":A* ?\"foo\":B*)");
test_parse_query_to_ast_helper("foo:(*A OR *B)", "(?\"foo\":*A ?\"foo\":*B)");
}
#[test]
fn test_parse_query_all() {
test_parse_query_to_ast_helper("*", "*");
test_parse_query_to_ast_helper("(*)", "*");
test_parse_query_to_ast_helper("(* )", "*");
} }
#[test] #[test]
@@ -1803,72 +1689,4 @@ mod test {
fn test_invalid_field() { fn test_invalid_field() {
test_is_parse_err(r#"!bc:def"#, "!bc:def"); test_is_parse_err(r#"!bc:def"#, "!bc:def");
} }
#[test]
fn test_regex_parser() {
let r = parse_to_ast(r#"a:/joh?n(ath[oa]n)/"#);
assert!(r.is_ok(), "Failed to parse custom query: {r:?}");
let (_, input) = r.unwrap();
match input {
UserInputAst::Leaf(leaf) => match leaf.as_ref() {
UserInputLeaf::Regex { field, pattern } => {
assert_eq!(field, &Some("a".to_string()));
assert_eq!(pattern, "joh?n(ath[oa]n)");
}
_ => panic!("Expected a regex leaf, got {leaf:?}"),
},
_ => panic!("Expected a leaf"),
}
let r = parse_to_ast(r#"a:/\\/cgi-bin\\/luci.*/"#);
assert!(r.is_ok(), "Failed to parse custom query: {r:?}");
let (_, input) = r.unwrap();
match input {
UserInputAst::Leaf(leaf) => match leaf.as_ref() {
UserInputLeaf::Regex { field, pattern } => {
assert_eq!(field, &Some("a".to_string()));
assert_eq!(pattern, "\\/cgi-bin\\/luci.*");
}
_ => panic!("Expected a regex leaf, got {leaf:?}"),
},
_ => panic!("Expected a leaf"),
}
}
#[test]
fn test_regex_parser_lenient() {
let literal = |query| literal_infallible(query).unwrap().1;
let (res, errs) = literal(r#"a:/joh?n(ath[oa]n)/"#);
let expected = UserInputLeaf::Regex {
field: Some("a".to_string()),
pattern: "joh?n(ath[oa]n)".to_string(),
}
.into();
assert_eq!(res.unwrap(), expected);
assert!(errs.is_empty(), "Expected no errors, got: {errs:?}");
let (res, errs) = literal("title:/joh?n(ath[oa]n)");
let expected = UserInputLeaf::Regex {
field: Some("title".to_string()),
pattern: "joh?n(ath[oa]n)".to_string(),
}
.into();
assert_eq!(res.unwrap(), expected);
assert_eq!(errs.len(), 1, "Expected 1 error, got: {errs:?}");
assert_eq!(
errs[0].message, "missing delimiter /",
"Unexpected error message",
);
}
#[test]
fn test_space_before_value() {
test_parse_query_to_ast_helper("field : a", r#""field":a"#);
test_parse_query_to_ast_helper("field: a", r#""field":a"#);
test_parse_query_to_ast_helper("field :a", r#""field":a"#);
test_parse_query_to_ast_helper(
"field : 'happy tax payer' AND other_field : 1",
r#"(+"field":'happy tax payer' +"other_field":1)"#,
);
}
} }

58
query-grammar/src/user_input_ast.rs
View File

@@ -5,7 +5,7 @@ use serde::Serialize;
use crate::Occur; use crate::Occur;
#[derive(PartialEq, Eq, Hash, Clone, Serialize)] #[derive(PartialEq, Clone, Serialize)]
#[serde(tag = "type")] #[serde(tag = "type")]
#[serde(rename_all = "snake_case")] #[serde(rename_all = "snake_case")]
pub enum UserInputLeaf { pub enum UserInputLeaf {
@@ -23,10 +23,6 @@ pub enum UserInputLeaf {
Exists { Exists {
field: String, field: String,
}, },
Regex {
field: Option<String>,
pattern: String,
},
} }
impl UserInputLeaf { impl UserInputLeaf {
@@ -50,13 +46,12 @@ impl UserInputLeaf {
UserInputLeaf::Exists { field: _ } => UserInputLeaf::Exists { UserInputLeaf::Exists { field: _ } => UserInputLeaf::Exists {
field: field.expect("Exist query without a field isn't allowed"), field: field.expect("Exist query without a field isn't allowed"),
}, },
UserInputLeaf::Regex { field: _, pattern } => UserInputLeaf::Regex { field, pattern },
} }
} }
pub(crate) fn set_default_field(&mut self, default_field: String) { pub(crate) fn set_default_field(&mut self, default_field: String) {
match self { match self {
UserInputLeaf::Literal(literal) if literal.field_name.is_none() => { UserInputLeaf::Literal(ref mut literal) if literal.field_name.is_none() => {
literal.field_name = Some(default_field) literal.field_name = Some(default_field)
} }
UserInputLeaf::All => { UserInputLeaf::All => {
@@ -64,8 +59,12 @@ impl UserInputLeaf {
field: default_field, field: default_field,
} }
} }
UserInputLeaf::Range { field, .. } if field.is_none() => *field = Some(default_field), UserInputLeaf::Range { ref mut field, .. } if field.is_none() => {
UserInputLeaf::Set { field, .. } if field.is_none() => *field = Some(default_field), *field = Some(default_field)
}
UserInputLeaf::Set { ref mut field, .. } if field.is_none() => {
*field = Some(default_field)
}
_ => (), // field was already set, do nothing _ => (), // field was already set, do nothing
} }
} }
@@ -76,11 +75,11 @@ impl Debug for UserInputLeaf {
match self { match self {
UserInputLeaf::Literal(literal) => literal.fmt(formatter), UserInputLeaf::Literal(literal) => literal.fmt(formatter),
UserInputLeaf::Range { UserInputLeaf::Range {
field, ref field,
lower, ref lower,
upper, ref upper,
} => { } => {
if let Some(field) = field { if let Some(ref field) = field {
// TODO properly escape field (in case of \") // TODO properly escape field (in case of \")
write!(formatter, "\"{field}\":")?; write!(formatter, "\"{field}\":")?;
} }
@@ -90,7 +89,7 @@ impl Debug for UserInputLeaf {
Ok(()) Ok(())
} }
UserInputLeaf::Set { field, elements } => { UserInputLeaf::Set { field, elements } => {
if let Some(field) = field { if let Some(ref field) = field {
// TODO properly escape field (in case of \") // TODO properly escape field (in case of \")
write!(formatter, "\"{field}\": ")?; write!(formatter, "\"{field}\": ")?;
} }
@@ -108,19 +107,11 @@ impl Debug for UserInputLeaf {
UserInputLeaf::Exists { field } => { UserInputLeaf::Exists { field } => {
write!(formatter, "$exists(\"{field}\")") write!(formatter, "$exists(\"{field}\")")
} }
UserInputLeaf::Regex { field, pattern } => {
if let Some(field) = field {
// TODO properly escape field (in case of \")
write!(formatter, "\"{field}\":")?;
}
// TODO properly escape pattern (in case of \")
write!(formatter, "/{pattern}/")
}
} }
} }
} }
#[derive(Copy, Clone, Eq, PartialEq, Hash, Debug, Serialize)] #[derive(Copy, Clone, Eq, PartialEq, Debug, Serialize)]
#[serde(rename_all = "snake_case")] #[serde(rename_all = "snake_case")]
pub enum Delimiter { pub enum Delimiter {
SingleQuotes, SingleQuotes,
@@ -128,7 +119,7 @@ pub enum Delimiter {
None, None,
} }
#[derive(PartialEq, Eq, Hash, Clone, Serialize)] #[derive(PartialEq, Clone, Serialize)]
#[serde(rename_all = "snake_case")] #[serde(rename_all = "snake_case")]
pub struct UserInputLiteral { pub struct UserInputLiteral {
pub field_name: Option<String>, pub field_name: Option<String>,
@@ -167,7 +158,7 @@ impl fmt::Debug for UserInputLiteral {
} }
} }
#[derive(PartialEq, Eq, Hash, Debug, Clone, Serialize)] #[derive(PartialEq, Debug, Clone, Serialize)]
#[serde(tag = "type", content = "value")] #[serde(tag = "type", content = "value")]
#[serde(rename_all = "snake_case")] #[serde(rename_all = "snake_case")]
pub enum UserInputBound { pub enum UserInputBound {
@@ -204,11 +195,11 @@ impl UserInputBound {
} }
} }
#[derive(PartialEq, Eq, Hash, Clone, Serialize)] #[derive(PartialEq, Clone, Serialize)]
#[serde(into = "UserInputAstSerde")] #[serde(into = "UserInputAstSerde")]
pub enum UserInputAst { pub enum UserInputAst {
Clause(Vec<(Option<Occur>, UserInputAst)>), Clause(Vec<(Option<Occur>, UserInputAst)>),
Boost(Box<UserInputAst>, ordered_float::OrderedFloat<f64>), Boost(Box<UserInputAst>, f64),
Leaf(Box<UserInputLeaf>), Leaf(Box<UserInputLeaf>),
} }
@@ -230,10 +221,9 @@ impl From<UserInputAst> for UserInputAstSerde {
fn from(ast: UserInputAst) -> Self { fn from(ast: UserInputAst) -> Self {
match ast { match ast {
UserInputAst::Clause(clause) => UserInputAstSerde::Bool { clauses: clause }, UserInputAst::Clause(clause) => UserInputAstSerde::Bool { clauses: clause },
UserInputAst::Boost(underlying, boost) => UserInputAstSerde::Boost { UserInputAst::Boost(underlying, boost) => {
underlying, UserInputAstSerde::Boost { underlying, boost }
boost: boost.into_inner(), }
},
UserInputAst::Leaf(leaf) => UserInputAstSerde::Leaf(leaf), UserInputAst::Leaf(leaf) => UserInputAstSerde::Leaf(leaf),
} }
} }
@@ -277,7 +267,7 @@ impl UserInputAst {
.iter_mut() .iter_mut()
.for_each(|(_, ast)| ast.set_default_field(field.clone())), .for_each(|(_, ast)| ast.set_default_field(field.clone())),
UserInputAst::Leaf(leaf) => leaf.set_default_field(field), UserInputAst::Leaf(leaf) => leaf.set_default_field(field),
UserInputAst::Boost(ast, _) => ast.set_default_field(field), UserInputAst::Boost(ref mut ast, _) => ast.set_default_field(field),
} }
} }
} }
@@ -392,7 +382,7 @@ mod tests {
#[test] #[test]
fn test_boost_serialization() { fn test_boost_serialization() {
let inner_ast = UserInputAst::Leaf(Box::new(UserInputLeaf::All)); let inner_ast = UserInputAst::Leaf(Box::new(UserInputLeaf::All));
let boost_ast = UserInputAst::Boost(Box::new(inner_ast), 2.5.into()); let boost_ast = UserInputAst::Boost(Box::new(inner_ast), 2.5);
let json = serde_json::to_string(&boost_ast).unwrap(); let json = serde_json::to_string(&boost_ast).unwrap();
assert_eq!( assert_eq!(
json, json,
@@ -419,7 +409,7 @@ mod tests {
}))), }))),
), ),
])), ])),
2.5.into(), 2.5,
); );
let json = serde_json::to_string(&boost_ast).unwrap(); let json = serde_json::to_string(&boost_ast).unwrap();
assert_eq!( assert_eq!(

7
src/aggregation/README.md
View File

@@ -20,16 +20,17 @@ Contains all metric aggregations, like average aggregation. Metric aggregations
#### agg_req #### agg_req
agg_req contains the users aggregation request. Deserialization from json is compatible with elasticsearch aggregation requests. agg_req contains the users aggregation request. Deserialization from json is compatible with elasticsearch aggregation requests.
#### agg_data #### agg_req_with_accessor
agg_data contains the users aggregation request enriched with fast field accessors etc, which are agg_req_with_accessor contains the users aggregation request enriched with fast field accessors etc, which are
used during collection. used during collection.
#### segment_agg_result #### segment_agg_result
segment_agg_result contains the aggregation result tree, which is used for collection of a segment. segment_agg_result contains the aggregation result tree, which is used for collection of a segment.
agg_data is passed during collection. The tree from agg_req_with_accessor is passed during collection.
#### intermediate_agg_result #### intermediate_agg_result
intermediate_agg_result contains the aggregation tree for merging with other trees. intermediate_agg_result contains the aggregation tree for merging with other trees.
#### agg_result #### agg_result
agg_result contains the final aggregation tree. agg_result contains the final aggregation tree.

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