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base: rust:test_columnar_multi
Branches Tags
rust:main rust:paul.masurel/seek_into_the_danger_zone_result rust:paul.masurel/skip-first-doc-on-intersection rust:paul.masurel/search_into_danger_zone_fastfield rust:bucket_id_agg 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:list_fields
Branches Tags
rust:paul.masurel/seek_into_the_danger_zone_result rust:paul.masurel/skip-first-doc-on-intersection rust:main rust:paul.masurel/search_into_danger_zone_fastfield rust:bucket_id_agg 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

1 Commits
test_colum ... list_field

Author SHA1 Message Date
Pascal Seitz
bb57e63522 Store List of Fields in Segment 
Fiels may be encoded in the columnar storage or in the inverted index
for JSON fields.
Add a new Segment file that contains the list of fields (schema +
encoded)
 2023-12-13 15:52:41 +08:00
217 changed files with 3246 additions and 7507 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-2024-04-10 --profile minimal --component llvm-tools-preview run: rustup toolchain install nightly-2023-09-10 --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-2024-04-10 llvm-cov --all-features --workspace --doctests --lcov --output-path lcov.info run: cargo +nightly-2023-09-10 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

62
CHANGELOG.md
View File

@@ -1,65 +1,3 @@
Tantivy 0.22
================================
Tantivy 0.22 will be able to read indices created with Tantivy 0.21.
#### Bugfixes
- Fix null byte handling in JSON paths (null bytes in json keys caused panic during indexing) [#2345](https://github.com/quickwit-oss/tantivy/pull/2345)(@PSeitz)
- Fix bug that can cause `get_docids_for_value_range` to panic. [#2295](https://github.com/quickwit-oss/tantivy/pull/2295)(@fulmicoton)
- Avoid 1 document indices by increase min memory to 15MB for indexing [#2176](https://github.com/quickwit-oss/tantivy/pull/2176)(@PSeitz)
- Fix merge panic for JSON fields [#2284](https://github.com/quickwit-oss/tantivy/pull/2284)(@PSeitz)
- Fix bug occuring when merging JSON object indexed with positions. [#2253](https://github.com/quickwit-oss/tantivy/pull/2253)(@fulmicoton)
- Fix empty DateHistogram gap bug [#2183](https://github.com/quickwit-oss/tantivy/pull/2183)(@PSeitz)
- Fix range query end check (fields with less than 1 value per doc are affected) [#2226](https://github.com/quickwit-oss/tantivy/pull/2226)(@PSeitz)
- Handle exclusive out of bounds ranges on fastfield range queries [#2174](https://github.com/quickwit-oss/tantivy/pull/2174)(@PSeitz)
#### Breaking API Changes
- rename ReloadPolicy onCommit to onCommitWithDelay [#2235](https://github.com/quickwit-oss/tantivy/pull/2235)(@giovannicuccu)
- Move exports from the root into modules [#2220](https://github.com/quickwit-oss/tantivy/pull/2220)(@PSeitz)
- Accept field name instead of `Field` in FilterCollector [#2196](https://github.com/quickwit-oss/tantivy/pull/2196)(@PSeitz)
- remove deprecated IntOptions and DateTime [#2353](https://github.com/quickwit-oss/tantivy/pull/2353)(@PSeitz)
#### Features/Improvements
- Tantivy documents as a trait: Index data directly without converting to tantivy types first [#2071](https://github.com/quickwit-oss/tantivy/pull/2071)(@ChillFish8)
- encode some part of posting list as -1 instead of direct values (smaller inverted indices) [#2185](https://github.com/quickwit-oss/tantivy/pull/2185)(@trinity-1686a)
- **Aggregation**
- Support to deserialize f64 from string [#2311](https://github.com/quickwit-oss/tantivy/pull/2311)(@PSeitz)
- Add a top_hits aggregator [#2198](https://github.com/quickwit-oss/tantivy/pull/2198)(@ditsuke)
- Support bool type in term aggregation [#2318](https://github.com/quickwit-oss/tantivy/pull/2318)(@PSeitz)
- Support ip adresses in term aggregation [#2319](https://github.com/quickwit-oss/tantivy/pull/2319)(@PSeitz)
- Support date type in term aggregation [#2172](https://github.com/quickwit-oss/tantivy/pull/2172)(@PSeitz)
- Support escaped dot when addressing field [#2250](https://github.com/quickwit-oss/tantivy/pull/2250)(@PSeitz)
- Add ExistsQuery to check documents that have a value [#2160](https://github.com/quickwit-oss/tantivy/pull/2160)(@imotov)
- Expose TopDocs::order_by_u64_field again [#2282](https://github.com/quickwit-oss/tantivy/pull/2282)(@ditsuke)
- **Memory/Performance**
- Faster TopN: replace BinaryHeap with TopNComputer [#2186](https://github.com/quickwit-oss/tantivy/pull/2186)(@PSeitz)
- reduce number of allocations during indexing [#2257](https://github.com/quickwit-oss/tantivy/pull/2257)(@PSeitz)
- Less Memory while indexing: docid deltas while indexing [#2249](https://github.com/quickwit-oss/tantivy/pull/2249)(@PSeitz)
- Faster indexing: use term hashmap in fastfield [#2243](https://github.com/quickwit-oss/tantivy/pull/2243)(@PSeitz)
- term hashmap remove copy in is_empty, unused unordered_id [#2229](https://github.com/quickwit-oss/tantivy/pull/2229)(@PSeitz)
- add method to fetch block of first values in columnar [#2330](https://github.com/quickwit-oss/tantivy/pull/2330)(@PSeitz)
- Faster aggregations: add fast path for full columns in fetch_block [#2328](https://github.com/quickwit-oss/tantivy/pull/2328)(@PSeitz)
- Faster sstable loading: use fst for sstable index [#2268](https://github.com/quickwit-oss/tantivy/pull/2268)(@trinity-1686a)
- **QueryParser**
- allow newline where we allow space in query parser [#2302](https://github.com/quickwit-oss/tantivy/pull/2302)(@trinity-1686a)
- allow some mixing of occur and bool in strict query parser [#2323](https://github.com/quickwit-oss/tantivy/pull/2323)(@trinity-1686a)
- handle * inside term in lenient query parser [#2228](https://github.com/quickwit-oss/tantivy/pull/2228)(@trinity-1686a)
- add support for exists query syntax in query parser [#2170](https://github.com/quickwit-oss/tantivy/pull/2170)(@trinity-1686a)
- Add shared search executor [#2312](https://github.com/quickwit-oss/tantivy/pull/2312)(@MochiXu)
- Truncate keys to u16::MAX in term hashmap [#2299](https://github.com/quickwit-oss/tantivy/pull/2299)(@PSeitz)
- report if a term matched when warming up posting list [#2309](https://github.com/quickwit-oss/tantivy/pull/2309)(@trinity-1686a)
- Support json fields in FuzzyTermQuery [#2173](https://github.com/quickwit-oss/tantivy/pull/2173)(@PingXia-at)
- Read list of fields encoded in term dictionary for JSON fields [#2184](https://github.com/quickwit-oss/tantivy/pull/2184)(@PSeitz)
- add collect_block to BoxableSegmentCollector [#2331](https://github.com/quickwit-oss/tantivy/pull/2331)(@PSeitz)
- expose collect_block buffer size [#2326](https://github.com/quickwit-oss/tantivy/pull/2326)(@PSeitz)
- Forward regex parser errors [#2288](https://github.com/quickwit-oss/tantivy/pull/2288)(@adamreichold)
- Make FacetCounts defaultable and cloneable. [#2322](https://github.com/quickwit-oss/tantivy/pull/2322)(@adamreichold)
- Derive Debug for SchemaBuilder [#2254](https://github.com/quickwit-oss/tantivy/pull/2254)(@GodTamIt)
- add missing inlines to tantivy options [#2245](https://github.com/quickwit-oss/tantivy/pull/2245)(@PSeitz)
Tantivy 0.21.1 Tantivy 0.21.1
================================ ================================
#### Bugfixes #### Bugfixes

68
Cargo.toml
View File

@@ -1,6 +1,6 @@
[package] [package]
name = "tantivy" name = "tantivy"
version = "0.23.0" version = "0.22.0-dev"
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"]
@@ -11,38 +11,34 @@ 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 = "1.63" rust-version = "1.62"
exclude = ["benches/*.json", "benches/*.txt"] exclude = ["benches/*.json", "benches/*.txt"]
[dependencies] [dependencies]
oneshot = "0.1.7" oneshot = "0.1.5"
base64 = "0.22.0" base64 = "0.21.0"
byteorder = "1.4.3" byteorder = "1.4.3"
crc32fast = "1.3.2" crc32fast = "1.3.2"
once_cell = "1.10.0" once_cell = "1.10.0"
regex = { version = "1.5.5", default-features = false, features = [ regex = { version = "1.5.5", default-features = false, features = ["std", "unicode"] }
"std",
"unicode",
] }
aho-corasick = "1.0" aho-corasick = "1.0"
tantivy-fst = "0.5" tantivy-fst = "0.5"
memmap2 = { version = "0.9.0", optional = true } memmap2 = { version = "0.9.0", optional = true }
lz4_flex = { version = "0.11", default-features = false, optional = true } lz4_flex = { version = "0.11", default-features = false, optional = true }
zstd = { version = "0.13", optional = true, default-features = false } zstd = { version = "0.13", default-features = false }
tempfile = { version = "3.3.0", optional = true } tempfile = { version = "3.3.0", optional = true }
log = "0.4.16" log = "0.4.16"
serde = { version = "1.0.136", features = ["derive"] } serde = { version = "1.0.136", features = ["derive"] }
serde_json = "1.0.79" serde_json = "1.0.79"
fs4 = { version = "0.8.0", optional = true } num_cpus = "1.13.1"
fs4 = { version = "0.7.0", 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 = "1.2.0" rust-stemmers = "1.2.0"
downcast-rs = "1.2.0" downcast-rs = "1.2.0"
bitpacking = { version = "0.9.2", default-features = false, features = [ bitpacking = { version = "0.9.2", default-features = false, features = ["bitpacker4x"] }
"bitpacker4x", census = "0.4.0"
] }
census = "0.4.2"
rustc-hash = "1.1.0" rustc-hash = "1.1.0"
thiserror = "1.0.30" thiserror = "1.0.30"
htmlescape = "0.3.1" htmlescape = "0.3.1"
@@ -52,18 +48,18 @@ smallvec = "1.8.0"
rayon = "1.5.2" rayon = "1.5.2"
lru = "0.12.0" lru = "0.12.0"
fastdivide = "0.4.0" fastdivide = "0.4.0"
itertools = "0.13.0" itertools = "0.12.0"
measure_time = "0.8.2" measure_time = "0.8.2"
arc-swap = "1.5.0" arc-swap = "1.5.0"
columnar = { version = "0.3", path = "./columnar", package = "tantivy-columnar" } columnar = { version= "0.2", path="./columnar", package ="tantivy-columnar" }
sstable = { version = "0.3", path = "./sstable", package = "tantivy-sstable", optional = true } sstable = { version= "0.2", path="./sstable", package ="tantivy-sstable", optional = true }
stacker = { version = "0.3", path = "./stacker", package = "tantivy-stacker" } stacker = { version= "0.2", path="./stacker", package ="tantivy-stacker" }
query-grammar = { version = "0.22.0", path = "./query-grammar", package = "tantivy-query-grammar" } query-grammar = { version= "0.21.0", path="./query-grammar", package = "tantivy-query-grammar" }
tantivy-bitpacker = { version = "0.6", path = "./bitpacker" } tantivy-bitpacker = { version= "0.5", path="./bitpacker" }
common = { version = "0.7", path = "./common/", package = "tantivy-common" } common = { version= "0.6", path = "./common/", package = "tantivy-common" }
tokenizer-api = { version = "0.3", path = "./tokenizer-api", package = "tantivy-tokenizer-api" } tokenizer-api = { version= "0.2", path="./tokenizer-api", package="tantivy-tokenizer-api" }
sketches-ddsketch = { version = "0.3.0", features = ["use_serde"] } sketches-ddsketch = { version = "0.2.1", features = ["use_serde"] }
futures-util = { version = "0.3.28", optional = true } futures-util = { version = "0.3.28", optional = true }
fnv = "1.0.7" fnv = "1.0.7"
@@ -71,7 +67,6 @@ fnv = "1.0.7"
winapi = "0.3.9" winapi = "0.3.9"
[dev-dependencies] [dev-dependencies]
binggan = "0.8.0"
rand = "0.8.5" rand = "0.8.5"
maplit = "1.0.2" maplit = "1.0.2"
matches = "0.1.9" matches = "0.1.9"
@@ -82,10 +77,6 @@ futures = "0.3.21"
paste = "1.0.11" paste = "1.0.11"
more-asserts = "0.3.1" 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"] }
postcard = { version = "1.0.4", features = [
"use-std",
], default-features = false }
[target.'cfg(not(windows))'.dev-dependencies] [target.'cfg(not(windows))'.dev-dependencies]
criterion = { version = "0.5", default-features = false } criterion = { version = "0.5", default-features = false }
@@ -114,29 +105,20 @@ mmap = ["fs4", "tempfile", "memmap2"]
stopwords = [] stopwords = []
lz4-compression = ["lz4_flex"] lz4-compression = ["lz4_flex"]
zstd-compression = ["zstd"] zstd-compression = []
failpoints = ["fail", "fail/failpoints"] failpoints = ["fail", "fail/failpoints"]
unstable = [] # useful for benches. unstable = [] # useful for benches.
quickwit = ["sstable", "futures-util"] quickwit = ["sstable", "futures-util"]
# Compares only the hash of a string when indexing data. # Compares only the hash of a string when indexing data.
# Increases indexing speed, but may lead to extremely rare missing terms, when there's a hash collision. # Increases indexing speed, but may lead to extremely rare missing terms, when there's a hash collision.
# Uses 64bit ahash. # Uses 64bit ahash.
compare_hash_only = ["stacker/compare_hash_only"] compare_hash_only = ["stacker/compare_hash_only"]
[workspace] [workspace]
members = [ members = ["query-grammar", "bitpacker", "common", "ownedbytes", "stacker", "sstable", "tokenizer-api", "columnar"]
"query-grammar",
"bitpacker",
"common",
"ownedbytes",
"stacker",
"sstable",
"tokenizer-api",
"columnar",
]
# Following the "fail" crate best practises, we isolate # Following the "fail" crate best practises, we isolate
# tests that define specific behavior in fail check points # tests that define specific behavior in fail check points
@@ -157,7 +139,3 @@ harness = false
[[bench]] [[bench]]
name = "index-bench" name = "index-bench"
harness = false harness = false
[[bench]]
name = "agg_bench"
harness = false

33
README.md
View File

@@ -5,18 +5,19 @@
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Crates.io](https://img.shields.io/crates/v/tantivy.svg)](https://crates.io/crates/tantivy) [![Crates.io](https://img.shields.io/crates/v/tantivy.svg)](https://crates.io/crates/tantivy)
<img src="https://tantivy-search.github.io/logo/tantivy-logo.png" alt="Tantivy, the fastest full-text search engine library written in Rust" height="250"> ![Tantivy](https://tantivy-search.github.io/logo/tantivy-logo.png)
## Fast full-text search engine library written in Rust **Tantivy** is a **full-text search engine library** written in Rust.
**If you are looking for an alternative to Elasticsearch or Apache Solr, check out [Quickwit](https://github.com/quickwit-oss/quickwit), our distributed search engine built on top of Tantivy.** It is closer to [Apache Lucene](https://lucene.apache.org/) than to [Elasticsearch](https://www.elastic.co/products/elasticsearch) or [Apache Solr](https://lucene.apache.org/solr/) in the sense it is not
an off-the-shelf search engine server, but rather a crate that can be used
Tantivy is closer to [Apache Lucene](https://lucene.apache.org/) than to [Elasticsearch](https://www.elastic.co/products/elasticsearch) or [Apache Solr](https://lucene.apache.org/solr/) in the sense it is not to build such a search engine.
an off-the-shelf search engine server, but rather a crate that can be used to build such a search engine.
Tantivy is, in fact, strongly inspired by Lucene's design. Tantivy is, in fact, strongly inspired by Lucene's design.
## Benchmark If you are looking for an alternative to Elasticsearch or Apache Solr, check out [Quickwit](https://github.com/quickwit-oss/quickwit), our search engine built on top of Tantivy.
# Benchmark
The following [benchmark](https://tantivy-search.github.io/bench/) breakdowns The following [benchmark](https://tantivy-search.github.io/bench/) breakdowns
performance for different types of queries/collections. performance for different types of queries/collections.
@@ -27,7 +28,7 @@ Your mileage WILL vary depending on the nature of queries and their load.
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
- Full-text search - Full-text search
- Configurable tokenizer (stemming available for 17 Latin languages) with third party support for Chinese ([tantivy-jieba](https://crates.io/crates/tantivy-jieba) and [cang-jie](https://crates.io/crates/cang-jie)), Japanese ([lindera](https://github.com/lindera-morphology/lindera-tantivy), [Vaporetto](https://crates.io/crates/vaporetto_tantivy), and [tantivy-tokenizer-tiny-segmenter](https://crates.io/crates/tantivy-tokenizer-tiny-segmenter)) and Korean ([lindera](https://github.com/lindera-morphology/lindera-tantivy) + [lindera-ko-dic-builder](https://github.com/lindera-morphology/lindera-ko-dic-builder)) - Configurable tokenizer (stemming available for 17 Latin languages) with third party support for Chinese ([tantivy-jieba](https://crates.io/crates/tantivy-jieba) and [cang-jie](https://crates.io/crates/cang-jie)), Japanese ([lindera](https://github.com/lindera-morphology/lindera-tantivy), [Vaporetto](https://crates.io/crates/vaporetto_tantivy), and [tantivy-tokenizer-tiny-segmenter](https://crates.io/crates/tantivy-tokenizer-tiny-segmenter)) and Korean ([lindera](https://github.com/lindera-morphology/lindera-tantivy) + [lindera-ko-dic-builder](https://github.com/lindera-morphology/lindera-ko-dic-builder))
@@ -53,11 +54,11 @@ Details about the benchmark can be found at this [repository](https://github.com
- Searcher Warmer API - Searcher Warmer API
- Cheesy logo with a horse - Cheesy logo with a horse
### Non-features ## Non-features
Distributed search is out of the scope of Tantivy, but if you are looking for this feature, check out [Quickwit](https://github.com/quickwit-oss/quickwit/). Distributed search is out of the scope of Tantivy, but if you are looking for this feature, check out [Quickwit](https://github.com/quickwit-oss/quickwit/).
## Getting started # Getting started
Tantivy works on stable Rust and supports Linux, macOS, and Windows. Tantivy works on stable Rust and supports Linux, macOS, and Windows.
@@ -67,7 +68,7 @@ index documents, and search via the CLI or a small server with a REST API.
It walks you through getting a Wikipedia search engine up and running in a few minutes. It walks you through getting a Wikipedia search engine up and running in a few minutes.
- [Reference doc for the last released version](https://docs.rs/tantivy/) - [Reference doc for the last released version](https://docs.rs/tantivy/)
## How can I support this project? # How can I support this project?
There are many ways to support this project. There are many ways to support this project.
@@ -78,16 +79,16 @@ There are many ways to support this project.
- Contribute code (you can join [our Discord server](https://discord.gg/MT27AG5EVE)) - Contribute code (you can join [our Discord server](https://discord.gg/MT27AG5EVE))
- Talk about Tantivy around you - Talk about Tantivy around you
## Contributing code # Contributing code
We use the GitHub Pull Request workflow: reference a GitHub ticket and/or include a comprehensive commit message when opening a PR. We use the GitHub Pull Request workflow: reference a GitHub ticket and/or include a comprehensive commit message when opening a PR.
Feel free to update CHANGELOG.md with your contribution. Feel free to update CHANGELOG.md with your contribution.
### Tokenizer ## Tokenizer
When implementing a tokenizer for tantivy depend on the `tantivy-tokenizer-api` crate. When implementing a tokenizer for tantivy depend on the `tantivy-tokenizer-api` crate.
### Clone and build locally ## Clone and build locally
Tantivy compiles on stable Rust. Tantivy compiles on stable Rust.
To check out and run tests, you can simply run: To check out and run tests, you can simply run:
@@ -98,7 +99,7 @@ cd tantivy
cargo test cargo test
``` ```
## Companies Using Tantivy # Companies Using Tantivy
<p align="left"> <p align="left">
<img align="center" src="doc/assets/images/etsy.png" alt="Etsy" height="25" width="auto" />&nbsp; <img align="center" src="doc/assets/images/etsy.png" alt="Etsy" height="25" width="auto" />&nbsp;
@@ -110,7 +111,7 @@ cargo test
<img align="center" src="doc/assets/images/element-dark-theme.png#gh-dark-mode-only" alt="Element.io" height="25" width="auto" /> <img align="center" src="doc/assets/images/element-dark-theme.png#gh-dark-mode-only" alt="Element.io" height="25" width="auto" />
</p> </p>
## FAQ # FAQ
### Can I use Tantivy in other languages? ### Can I use Tantivy in other languages?

419
benches/agg_bench.rs
View File

@@ -1,419 +0,0 @@
use binggan::{black_box, InputGroup, PeakMemAlloc, INSTRUMENTED_SYSTEM};
use rand::prelude::SliceRandom;
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
use rand_distr::Distribution;
use serde_json::json;
use tantivy::aggregation::agg_req::Aggregations;
use tantivy::aggregation::AggregationCollector;
use tantivy::query::{AllQuery, TermQuery};
use tantivy::schema::{IndexRecordOption, Schema, TextFieldIndexing, FAST, STRING};
use tantivy::{doc, Index, Term};
#[global_allocator]
pub static GLOBAL: &PeakMemAlloc<std::alloc::System> = &INSTRUMENTED_SYSTEM;
/// Mini macro to register a function via its name
/// runner.register("average_u64", move |index| average_u64(index));
macro_rules! register {
($runner:expr, $func:ident) => {
$runner.register(stringify!($func), move |index| $func(index))
};
}
fn main() {
let inputs = vec![
("full", get_test_index_bench(Cardinality::Full).unwrap()),
(
"dense",
get_test_index_bench(Cardinality::OptionalDense).unwrap(),
),
(
"sparse",
get_test_index_bench(Cardinality::OptionalSparse).unwrap(),
),
(
"multivalue",
get_test_index_bench(Cardinality::Multivalued).unwrap(),
),
];
bench_agg(InputGroup::new_with_inputs(inputs));
}
fn bench_agg(mut group: InputGroup<Index>) {
group.set_alloc(GLOBAL); // Set the peak mem allocator. This will enable peak memory reporting.
register!(group, average_u64);
register!(group, average_f64);
register!(group, average_f64_u64);
register!(group, stats_f64);
register!(group, extendedstats_f64);
register!(group, percentiles_f64);
register!(group, terms_few);
register!(group, terms_many);
register!(group, terms_many_order_by_term);
register!(group, terms_many_with_top_hits);
register!(group, terms_many_with_avg_sub_agg);
register!(group, terms_many_json_mixed_type_with_sub_agg_card);
register!(group, range_agg);
register!(group, range_agg_with_avg_sub_agg);
register!(group, range_agg_with_term_agg_few);
register!(group, range_agg_with_term_agg_many);
register!(group, histogram);
register!(group, histogram_hard_bounds);
register!(group, histogram_with_avg_sub_agg);
register!(group, avg_and_range_with_avg_sub_agg);
group.run();
}
fn exec_term_with_agg(index: &Index, agg_req: serde_json::Value) {
let agg_req: Aggregations = serde_json::from_value(agg_req).unwrap();
let reader = index.reader().unwrap();
let text_field = reader.searcher().schema().get_field("text").unwrap();
let term_query = TermQuery::new(
Term::from_field_text(text_field, "cool"),
IndexRecordOption::Basic,
);
let collector = get_collector(agg_req);
let searcher = reader.searcher();
black_box(searcher.search(&term_query, &collector).unwrap());
}
fn average_u64(index: &Index) {
let agg_req = json!({
"average": { "avg": { "field": "score", } }
});
exec_term_with_agg(index, agg_req)
}
fn average_f64(index: &Index) {
let agg_req = json!({
"average": { "avg": { "field": "score_f64", } }
});
exec_term_with_agg(index, agg_req)
}
fn average_f64_u64(index: &Index) {
let agg_req = json!({
"average_f64": { "avg": { "field": "score_f64" } },
"average": { "avg": { "field": "score" } },
});
exec_term_with_agg(index, agg_req)
}
fn stats_f64(index: &Index) {
let agg_req = json!({
"average_f64": { "stats": { "field": "score_f64", } }
});
exec_term_with_agg(index, agg_req)
}
fn extendedstats_f64(index: &Index) {
let agg_req = json!({
"extendedstats_f64": { "extended_stats": { "field": "score_f64", } }
});
exec_term_with_agg(index, agg_req)
}
fn percentiles_f64(index: &Index) {
let agg_req = json!({
"mypercentiles": {
"percentiles": {
"field": "score_f64",
"percents": [ 95, 99, 99.9 ]
}
}
});
execute_agg(index, agg_req);
}
fn terms_few(index: &Index) {
let agg_req = json!({
"my_texts": { "terms": { "field": "text_few_terms" } },
});
execute_agg(index, agg_req);
}
fn terms_many(index: &Index) {
let agg_req = json!({
"my_texts": { "terms": { "field": "text_many_terms" } },
});
execute_agg(index, agg_req);
}
fn terms_many_order_by_term(index: &Index) {
let agg_req = json!({
"my_texts": { "terms": { "field": "text_many_terms", "order": { "_key": "desc" } } },
});
execute_agg(index, agg_req);
}
fn terms_many_with_top_hits(index: &Index) {
let agg_req = json!({
"my_texts": {
"terms": { "field": "text_many_terms" },
"aggs": {
"top_hits": { "top_hits":
{
"sort": [
{ "score": "desc" }
],
"size": 2,
"doc_value_fields": ["score_f64"]
}
}
}
},
});
execute_agg(index, agg_req);
}
fn terms_many_with_avg_sub_agg(index: &Index) {
let agg_req = json!({
"my_texts": {
"terms": { "field": "text_many_terms" },
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
},
});
execute_agg(index, agg_req);
}
fn terms_many_json_mixed_type_with_sub_agg_card(index: &Index) {
let agg_req = json!({
"my_texts": {
"terms": { "field": "json.mixed_type" },
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
},
});
execute_agg(index, agg_req);
}
fn execute_agg(index: &Index, agg_req: serde_json::Value) {
let agg_req: Aggregations = serde_json::from_value(agg_req).unwrap();
let collector = get_collector(agg_req);
let reader = index.reader().unwrap();
let searcher = reader.searcher();
black_box(searcher.search(&AllQuery, &collector).unwrap());
}
fn range_agg(index: &Index) {
let agg_req = json!({
"range_f64": { "range": { "field": "score_f64", "ranges": [
{ "from": 3, "to": 7000 },
{ "from": 7000, "to": 20000 },
{ "from": 20000, "to": 30000 },
{ "from": 30000, "to": 40000 },
{ "from": 40000, "to": 50000 },
{ "from": 50000, "to": 60000 }
] } },
});
execute_agg(index, agg_req);
}
fn range_agg_with_avg_sub_agg(index: &Index) {
let agg_req = json!({
"rangef64": {
"range": {
"field": "score_f64",
"ranges": [
{ "from": 3, "to": 7000 },
{ "from": 7000, "to": 20000 },
{ "from": 20000, "to": 30000 },
{ "from": 30000, "to": 40000 },
{ "from": 40000, "to": 50000 },
{ "from": 50000, "to": 60000 }
]
},
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
},
});
execute_agg(index, agg_req);
}
fn range_agg_with_term_agg_few(index: &Index) {
let agg_req = json!({
"rangef64": {
"range": {
"field": "score_f64",
"ranges": [
{ "from": 3, "to": 7000 },
{ "from": 7000, "to": 20000 },
{ "from": 20000, "to": 30000 },
{ "from": 30000, "to": 40000 },
{ "from": 40000, "to": 50000 },
{ "from": 50000, "to": 60000 }
]
},
"aggs": {
"my_texts": { "terms": { "field": "text_few_terms" } },
}
},
});
execute_agg(index, agg_req);
}
fn range_agg_with_term_agg_many(index: &Index) {
let agg_req = json!({
"rangef64": {
"range": {
"field": "score_f64",
"ranges": [
{ "from": 3, "to": 7000 },
{ "from": 7000, "to": 20000 },
{ "from": 20000, "to": 30000 },
{ "from": 30000, "to": 40000 },
{ "from": 40000, "to": 50000 },
{ "from": 50000, "to": 60000 }
]
},
"aggs": {
"my_texts": { "terms": { "field": "text_many_terms" } },
}
},
});
execute_agg(index, agg_req);
}
fn histogram(index: &Index) {
let agg_req = json!({
"rangef64": {
"histogram": {
"field": "score_f64",
"interval": 100 // 1000 buckets
},
}
});
execute_agg(index, agg_req);
}
fn histogram_hard_bounds(index: &Index) {
let agg_req = json!({
"rangef64": { "histogram": { "field": "score_f64", "interval": 100, "hard_bounds": { "min": 1000, "max": 300000 } } },
});
execute_agg(index, agg_req);
}
fn histogram_with_avg_sub_agg(index: &Index) {
let agg_req = json!({
"rangef64": {
"histogram": { "field": "score_f64", "interval": 100 },
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
}
});
execute_agg(index, agg_req);
}
fn avg_and_range_with_avg_sub_agg(index: &Index) {
let agg_req = json!({
"rangef64": {
"range": {
"field": "score_f64",
"ranges": [
{ "from": 3, "to": 7000 },
{ "from": 7000, "to": 20000 },
{ "from": 20000, "to": 60000 }
]
},
"aggs": {
"average_in_range": { "avg": { "field": "score" } }
}
},
"average": { "avg": { "field": "score" } }
});
execute_agg(index, agg_req);
}
#[derive(Clone, Copy, Hash, Default, Debug, PartialEq, Eq, PartialOrd, Ord)]
enum Cardinality {
/// All documents contain exactly one value.
/// `Full` is the default for auto-detecting the Cardinality, since it is the most strict.
#[default]
Full = 0,
/// All documents contain at most one value.
OptionalDense = 1,
/// All documents may contain any number of values.
Multivalued = 2,
/// 1 / 20 documents has a value
OptionalSparse = 3,
}
fn get_collector(agg_req: Aggregations) -> AggregationCollector {
AggregationCollector::from_aggs(agg_req, Default::default())
}
fn get_test_index_bench(cardinality: Cardinality) -> tantivy::Result<Index> {
let mut schema_builder = Schema::builder();
let text_fieldtype = tantivy::schema::TextOptions::default()
.set_indexing_options(
TextFieldIndexing::default().set_index_option(IndexRecordOption::WithFreqs),
)
.set_stored();
let text_field = schema_builder.add_text_field("text", text_fieldtype);
let json_field = schema_builder.add_json_field("json", FAST);
let text_field_many_terms = schema_builder.add_text_field("text_many_terms", STRING | FAST);
let text_field_few_terms = schema_builder.add_text_field("text_few_terms", STRING | 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_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 index = Index::create_from_tempdir(schema_builder.build())?;
let few_terms_data = ["INFO", "ERROR", "WARN", "DEBUG"];
let lg_norm = rand_distr::LogNormal::new(2.996f64, 0.979f64).unwrap();
let many_terms_data = (0..150_000)
.map(|num| format!("author{num}"))
.collect::<Vec<_>>();
{
let mut rng = StdRng::from_seed([1u8; 32]);
let mut index_writer = index.writer_with_num_threads(1, 200_000_000)?;
// To make the different test cases comparable we just change one doc to force the
// cardinality
if cardinality == Cardinality::OptionalDense {
index_writer.add_document(doc!())?;
}
if cardinality == Cardinality::Multivalued {
index_writer.add_document(doc!(
json_field => json!({"mixed_type": 10.0}),
json_field => json!({"mixed_type": 10.0}),
text_field => "cool",
text_field => "cool",
text_field_many_terms => "cool",
text_field_many_terms => "cool",
text_field_few_terms => "cool",
text_field_few_terms => "cool",
score_field => 1u64,
score_field => 1u64,
score_field_f64 => lg_norm.sample(&mut rng),
score_field_f64 => lg_norm.sample(&mut rng),
score_field_i64 => 1i64,
score_field_i64 => 1i64,
))?;
}
let mut doc_with_value = 1_000_000;
if cardinality == Cardinality::OptionalSparse {
doc_with_value /= 20;
}
let _val_max = 1_000_000.0;
for _ in 0..doc_with_value {
let val: f64 = rng.gen_range(0.0..1_000_000.0);
let json = if rng.gen_bool(0.1) {
// 10% are numeric values
json!({ "mixed_type": val })
} else {
json!({"mixed_type": many_terms_data.choose(&mut rng).unwrap().to_string()})
};
index_writer.add_document(doc!(
text_field => "cool",
json_field => json,
text_field_many_terms => many_terms_data.choose(&mut rng).unwrap().to_string(),
text_field_few_terms => few_terms_data.choose(&mut rng).unwrap().to_string(),
score_field => val as u64,
score_field_f64 => lg_norm.sample(&mut rng),
score_field_i64 => val as i64,
))?;
if cardinality == Cardinality::OptionalSparse {
for _ in 0..20 {
index_writer.add_document(doc!(text_field => "cool"))?;
}
}
}
// writing the segment
index_writer.commit()?;
}
Ok(index)
}

14
benches/index-bench.rs
View File

@@ -18,7 +18,7 @@ fn benchmark(
benchmark_dynamic_json(b, input, schema, commit, parse_json) benchmark_dynamic_json(b, input, schema, commit, parse_json)
} else { } else {
_benchmark(b, input, schema, commit, parse_json, |schema, doc_json| { _benchmark(b, input, schema, commit, parse_json, |schema, doc_json| {
TantivyDocument::parse_json(schema, doc_json).unwrap() TantivyDocument::parse_json(&schema, doc_json).unwrap()
}) })
} }
} }
@@ -90,7 +90,8 @@ fn benchmark_dynamic_json(
) { ) {
let json_field = schema.get_field("json").unwrap(); let json_field = schema.get_field("json").unwrap();
_benchmark(b, input, schema, commit, parse_json, |_schema, doc_json| { _benchmark(b, input, schema, commit, parse_json, |_schema, doc_json| {
let json_val: serde_json::Value = serde_json::from_str(doc_json).unwrap(); let json_val: serde_json::Map<String, serde_json::Value> =
serde_json::from_str(doc_json).unwrap();
tantivy::doc!(json_field=>json_val) tantivy::doc!(json_field=>json_val)
}) })
} }
@@ -137,16 +138,15 @@ pub fn hdfs_index_benchmark(c: &mut Criterion) {
for (prefix, schema, is_dynamic) in benches { for (prefix, schema, is_dynamic) in benches {
for commit in [false, true] { for commit in [false, true] {
let suffix = if commit { "with-commit" } else { "no-commit" }; let suffix = if commit { "with-commit" } else { "no-commit" };
{ for parse_json in [false] {
let parse_json = false;
// for parse_json in [false, true] { // for parse_json in [false, true] {
let suffix = if parse_json { let suffix = if parse_json {
format!("{suffix}-with-json-parsing") format!("{}-with-json-parsing", suffix)
} else { } else {
suffix.to_string() format!("{}", suffix)
}; };
let bench_name = format!("{prefix}{suffix}"); let bench_name = format!("{}{}", prefix, suffix);
group.bench_function(bench_name, |b| { group.bench_function(bench_name, |b| {
benchmark(b, HDFS_LOGS, schema.clone(), commit, parse_json, is_dynamic) benchmark(b, HDFS_LOGS, schema.clone(), commit, parse_json, is_dynamic)
}); });

2
bitpacker/Cargo.toml
View File

@@ -1,6 +1,6 @@
[package] [package]
name = "tantivy-bitpacker" name = "tantivy-bitpacker"
version = "0.6.0" version = "0.5.0"
edition = "2021" edition = "2021"
authors = ["Paul Masurel <paul.masurel@gmail.com>"] authors = ["Paul Masurel <paul.masurel@gmail.com>"]
license = "MIT" license = "MIT"

1
bitpacker/src/bitpacker.rs
View File

@@ -1,3 +1,4 @@
use std::convert::TryInto;
use std::io; use std::io;
use std::ops::{Range, RangeInclusive}; use std::ops::{Range, RangeInclusive};

83
cliff.toml
View File

@@ -1,10 +1,6 @@
# configuration file for git-cliff{ pattern = "foo", replace = "bar"} # configuration file for git-cliff{ pattern = "foo", replace = "bar"}
# see https://github.com/orhun/git-cliff#configuration-file # see https://github.com/orhun/git-cliff#configuration-file
[remote.github]
owner = "quickwit-oss"
repo = "tantivy"
[changelog] [changelog]
# changelog header # changelog header
header = """ header = """
@@ -12,43 +8,15 @@ header = """
# template for the changelog body # template for the changelog body
# https://tera.netlify.app/docs/#introduction # https://tera.netlify.app/docs/#introduction
body = """ body = """
## What's Changed {% if version %}\
{{ version | trim_start_matches(pat="v") }} ({{ timestamp | date(format="%Y-%m-%d") }})
{%- if version %} in {{ version }}{%- endif -%} ==================
{% else %}\
## [unreleased]
{% endif %}\
{% for commit in commits %} {% for commit in commits %}
{% if commit.github.pr_title -%} - {% if commit.breaking %}[**breaking**] {% endif %}{{ commit.message | split(pat="\n") | first | trim | upper_first }}(@{{ commit.author.name }})\
{%- set commit_message = commit.github.pr_title -%} {% endfor %}
{%- else -%}
{%- set commit_message = commit.message -%}
{%- endif -%}
- {{ commit_message | split(pat="\n") | first | trim }}\
{% if commit.github.pr_number %} \
[#{{ commit.github.pr_number }}]({{ self::remote_url() }}/pull/{{ commit.github.pr_number }}){% if commit.github.username %}(@{{ commit.github.username }}){%- endif -%} \
{%- endif %}
{%- endfor -%}
{% if github.contributors | filter(attribute="is_first_time", value=true) | length != 0 %}
{% raw %}\n{% endraw -%}
## New Contributors
{%- endif %}\
{% for contributor in github.contributors | filter(attribute="is_first_time", value=true) %}
* @{{ contributor.username }} made their first contribution
{%- if contributor.pr_number %} in \
[#{{ contributor.pr_number }}]({{ self::remote_url() }}/pull/{{ contributor.pr_number }}) \
{%- endif %}
{%- endfor -%}
{% if version %}
{% if previous.version %}
**Full Changelog**: {{ self::remote_url() }}/compare/{{ previous.version }}...{{ version }}
{% endif %}
{% else -%}
{% raw %}\n{% endraw %}
{% endif %}
{%- macro remote_url() -%}
https://github.com/{{ remote.github.owner }}/{{ remote.github.repo }}
{%- endmacro -%}
""" """
# remove the leading and trailing whitespace from the template # remove the leading and trailing whitespace from the template
trim = true trim = true
@@ -57,24 +25,53 @@ footer = """
""" """
postprocessors = [ postprocessors = [
{ pattern = 'Paul Masurel', replace = "fulmicoton"}, # replace with github user
{ pattern = 'PSeitz', replace = "PSeitz"}, # replace with github user
{ pattern = 'Adam Reichold', replace = "adamreichold"}, # replace with github user
{ pattern = 'trinity-1686a', replace = "trinity-1686a"}, # replace with github user
{ pattern = 'Michael Kleen', replace = "mkleen"}, # replace with github user
{ pattern = 'Adrien Guillo', replace = "guilload"}, # replace with github user
{ pattern = 'François Massot', replace = "fmassot"}, # replace with github user
{ pattern = 'Naveen Aiathurai', replace = "naveenann"}, # replace with github user
{ pattern = '', replace = ""}, # replace with github user
] ]
[git] [git]
# parse the commits based on https://www.conventionalcommits.org # parse the commits based on https://www.conventionalcommits.org
# This is required or commit.message contains the whole commit message and not just the title # This is required or commit.message contains the whole commit message and not just the title
conventional_commits = false conventional_commits = true
# filter out the commits that are not conventional # filter out the commits that are not conventional
filter_unconventional = true filter_unconventional = false
# process each line of a commit as an individual commit # process each line of a commit as an individual commit
split_commits = false split_commits = false
# regex for preprocessing the commit messages # regex for preprocessing the commit messages
commit_preprocessors = [ commit_preprocessors = [
{ pattern = '\((\w+\s)?#([0-9]+)\)', replace = ""}, { pattern = '\((\w+\s)?#([0-9]+)\)', replace = "[#${2}](https://github.com/quickwit-oss/tantivy/issues/${2})"}, # replace issue numbers
] ]
#link_parsers = [ #link_parsers = [
#{ pattern = "#(\\d+)", href = "https://github.com/quickwit-oss/tantivy/pulls/$1"}, #{ pattern = "#(\\d+)", href = "https://github.com/quickwit-oss/tantivy/pulls/$1"},
#] #]
# regex for parsing and grouping commits # regex for parsing and grouping commits
commit_parsers = [
{ message = "^feat", group = "Features"},
{ message = "^fix", group = "Bug Fixes"},
{ message = "^doc", group = "Documentation"},
{ message = "^perf", group = "Performance"},
{ message = "^refactor", group = "Refactor"},
{ message = "^style", group = "Styling"},
{ message = "^test", group = "Testing"},
{ message = "^chore\\(release\\): prepare for", skip = true},
{ message = "(?i)clippy", skip = true},
{ message = "(?i)dependabot", skip = true},
{ message = "(?i)fmt", skip = true},
{ message = "(?i)bump", skip = true},
{ message = "(?i)readme", skip = true},
{ message = "(?i)comment", skip = true},
{ message = "(?i)spelling", skip = true},
{ message = "^chore", group = "Miscellaneous Tasks"},
{ body = ".*security", group = "Security"},
{ message = ".*", group = "Other", default_scope = "other"},
]
# protect breaking changes from being skipped due to matching a skipping commit_parser # protect breaking changes from being skipped due to matching a skipping commit_parser
protect_breaking_commits = false protect_breaking_commits = false
# filter out the commits that are not matched by commit parsers # filter out the commits that are not matched by commit parsers

19
columnar/Cargo.toml
View File

@@ -1,6 +1,6 @@
[package] [package]
name = "tantivy-columnar" name = "tantivy-columnar"
version = "0.3.0" version = "0.2.0"
edition = "2021" edition = "2021"
license = "MIT" license = "MIT"
homepage = "https://github.com/quickwit-oss/tantivy" homepage = "https://github.com/quickwit-oss/tantivy"
@@ -9,26 +9,19 @@ description = "column oriented storage for tantivy"
categories = ["database-implementations", "data-structures", "compression"] categories = ["database-implementations", "data-structures", "compression"]
[dependencies] [dependencies]
itertools = "0.13.0" itertools = "0.12.0"
fastdivide = "0.4.0" fastdivide = "0.4.0"
stacker = { version= "0.3", path = "../stacker", package="tantivy-stacker"} stacker = { version= "0.2", path = "../stacker", package="tantivy-stacker"}
sstable = { version= "0.3", path = "../sstable", package = "tantivy-sstable" } sstable = { version= "0.2", path = "../sstable", package = "tantivy-sstable" }
common = { version= "0.7", path = "../common", package = "tantivy-common" } common = { version= "0.6", path = "../common", package = "tantivy-common" }
tantivy-bitpacker = { version= "0.6", path = "../bitpacker/" } tantivy-bitpacker = { version= "0.5", path = "../bitpacker/" }
serde = "1.0.152" serde = "1.0.152"
downcast-rs = "1.2.0"
[dev-dependencies] [dev-dependencies]
proptest = "1" proptest = "1"
more-asserts = "0.3.1" more-asserts = "0.3.1"
rand = "0.8" rand = "0.8"
binggan = "0.8.1"
[[bench]]
name = "bench_merge"
harness = false
[features] [features]
unstable = [] unstable = []

155
columnar/benches/bench_first_vals.rs
View File

@@ -1,155 +0,0 @@
#![feature(test)]
extern crate test;
use std::sync::Arc;
use rand::prelude::*;
use tantivy_columnar::column_values::{serialize_and_load_u64_based_column_values, CodecType};
use tantivy_columnar::*;
use test::{black_box, Bencher};
struct Columns {
pub optional: Column,
pub full: Column,
pub multi: Column,
}
fn get_test_columns() -> Columns {
let data = generate_permutation();
let mut dataframe_writer = ColumnarWriter::default();
for (idx, val) in data.iter().enumerate() {
dataframe_writer.record_numerical(idx as u32, "full_values", NumericalValue::U64(*val));
if idx % 2 == 0 {
dataframe_writer.record_numerical(
idx as u32,
"optional_values",
NumericalValue::U64(*val),
);
}
dataframe_writer.record_numerical(idx as u32, "multi_values", NumericalValue::U64(*val));
dataframe_writer.record_numerical(idx as u32, "multi_values", NumericalValue::U64(*val));
}
let mut buffer: Vec<u8> = Vec::new();
dataframe_writer
.serialize(data.len() as u32, None, &mut buffer)
.unwrap();
let columnar = ColumnarReader::open(buffer).unwrap();
let cols: Vec<DynamicColumnHandle> = columnar.read_columns("optional_values").unwrap();
assert_eq!(cols.len(), 1);
let optional = cols[0].open_u64_lenient().unwrap().unwrap();
assert_eq!(optional.index.get_cardinality(), Cardinality::Optional);
let cols: Vec<DynamicColumnHandle> = columnar.read_columns("full_values").unwrap();
assert_eq!(cols.len(), 1);
let column_full = cols[0].open_u64_lenient().unwrap().unwrap();
assert_eq!(column_full.index.get_cardinality(), Cardinality::Full);
let cols: Vec<DynamicColumnHandle> = columnar.read_columns("multi_values").unwrap();
assert_eq!(cols.len(), 1);
let multi = cols[0].open_u64_lenient().unwrap().unwrap();
assert_eq!(multi.index.get_cardinality(), Cardinality::Multivalued);
Columns {
optional,
full: column_full,
multi,
}
}
const NUM_VALUES: u64 = 100_000;
fn generate_permutation() -> Vec<u64> {
let mut permutation: Vec<u64> = (0u64..NUM_VALUES).collect();
permutation.shuffle(&mut StdRng::from_seed([1u8; 32]));
permutation
}
pub fn serialize_and_load(column: &[u64], codec_type: CodecType) -> Arc<dyn ColumnValues<u64>> {
serialize_and_load_u64_based_column_values(&column, &[codec_type])
}
fn run_bench_on_column_full_scan(b: &mut Bencher, column: Column) {
let num_iter = black_box(NUM_VALUES);
b.iter(|| {
let mut sum = 0u64;
for i in 0..num_iter as u32 {
let val = column.first(i);
sum += val.unwrap_or(0);
}
sum
});
}
fn run_bench_on_column_block_fetch(b: &mut Bencher, column: Column) {
let mut block: Vec<Option<u64>> = vec![None; 64];
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() {
block[i] = column.first(fetch_docids[i]);
}
block[0]
});
}
/// 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);
}

97
columnar/benches/bench_merge.rs
View File

@@ -1,97 +0,0 @@
#![feature(test)]
extern crate test;
use core::fmt;
use std::fmt::{Display, Formatter};
use binggan::{black_box, BenchRunner};
use tantivy_columnar::*;
enum Card {
Multi,
Sparse,
Dense,
}
impl Display for Card {
fn fmt(&self, f: &mut Formatter) -> fmt::Result {
match self {
Card::Multi => write!(f, "multi"),
Card::Sparse => write!(f, "sparse"),
Card::Dense => write!(f, "dense"),
}
}
}
const NUM_DOCS: u32 = 1_000_000;
fn generate_columnar(card: Card, num_docs: u32) -> ColumnarReader {
use tantivy_columnar::ColumnarWriter;
let mut columnar_writer = ColumnarWriter::default();
match card {
Card::Multi => {
columnar_writer.record_numerical(0, "price", 10u64);
columnar_writer.record_numerical(0, "price", 10u64);
}
_ => {}
}
for i in 0..num_docs {
match card {
Card::Multi | Card::Sparse => {
if i % 8 == 0 {
columnar_writer.record_numerical(i, "price", i as u64);
}
}
Card::Dense => {
if i % 6 == 0 {
columnar_writer.record_numerical(i, "price", i as u64);
}
}
}
}
let mut wrt: Vec<u8> = Vec::new();
columnar_writer.serialize(num_docs, None, &mut wrt).unwrap();
ColumnarReader::open(wrt).unwrap()
}
fn main() {
let mut inputs = Vec::new();
let mut add_combo = |card1: Card, card2: Card| {
inputs.push((
format!("merge_{card1}_and_{card2}"),
vec![
generate_columnar(card1, NUM_DOCS),
generate_columnar(card2, NUM_DOCS),
],
));
};
add_combo(Card::Multi, Card::Multi);
add_combo(Card::Dense, Card::Dense);
add_combo(Card::Sparse, Card::Sparse);
add_combo(Card::Sparse, Card::Dense);
add_combo(Card::Multi, Card::Dense);
add_combo(Card::Multi, Card::Sparse);
let runner: BenchRunner = BenchRunner::new();
let mut group = runner.new_group();
for (input_name, columnar_readers) in inputs.iter() {
group.register_with_input(
input_name,
columnar_readers,
move |columnar_readers: &Vec<ColumnarReader>| {
let mut out = vec![];
let columnar_readers = columnar_readers.iter().collect::<Vec<_>>();
let merge_row_order = StackMergeOrder::stack(&columnar_readers[..]);
merge_columnar(&columnar_readers, &[], merge_row_order.into(), &mut out).unwrap();
black_box(out);
},
);
}
group.run();
}

0
columnar/benches/bench_values_u128.rs → columnar/benches/bench_u128.rs
View File

8
columnar/benches/bench_values_u64.rs → columnar/benches/bench_u64.rs
View File

@@ -16,6 +16,14 @@ fn generate_permutation() -> Vec<u64> {
permutation permutation
} }
fn generate_random() -> Vec<u64> {
let mut permutation: Vec<u64> = (0u64..100_000u64)
.map(|el| el + random::<u16>() as u64)
.collect();
permutation.shuffle(&mut StdRng::from_seed([1u8; 32]));
permutation
}
// Warning: this generates the same permutation at each call // Warning: this generates the same permutation at each call
fn generate_permutation_gcd() -> Vec<u64> { fn generate_permutation_gcd() -> Vec<u64> {
let mut permutation: Vec<u64> = (1u64..100_000u64).map(|el| el * 1000).collect(); let mut permutation: Vec<u64> = (1u64..100_000u64).map(|el| el * 1000).collect();

56
columnar/src/block_accessor.rs
View File

@@ -14,32 +14,20 @@ impl<T: PartialOrd + Copy + std::fmt::Debug + Send + Sync + 'static + Default>
ColumnBlockAccessor<T> ColumnBlockAccessor<T>
{ {
#[inline] #[inline]
pub fn fetch_block<'a>(&'a mut self, docs: &'a [u32], accessor: &Column<T>) { pub fn fetch_block(&mut self, docs: &[u32], accessor: &Column<T>) {
if accessor.index.get_cardinality().is_full() { self.docid_cache.clear();
self.val_cache.resize(docs.len(), T::default()); self.row_id_cache.clear();
accessor.values.get_vals(docs, &mut self.val_cache); accessor.row_ids_for_docs(docs, &mut self.docid_cache, &mut self.row_id_cache);
} else { self.val_cache.resize(self.row_id_cache.len(), T::default());
self.docid_cache.clear(); accessor
self.row_id_cache.clear(); .values
accessor.row_ids_for_docs(docs, &mut self.docid_cache, &mut self.row_id_cache); .get_vals(&self.row_id_cache, &mut self.val_cache);
self.val_cache.resize(self.row_id_cache.len(), T::default());
accessor
.values
.get_vals(&self.row_id_cache, &mut self.val_cache);
}
} }
#[inline] #[inline]
pub fn fetch_block_with_missing(&mut self, docs: &[u32], accessor: &Column<T>, missing: T) { pub fn fetch_block_with_missing(&mut self, docs: &[u32], accessor: &Column<T>, missing: T) {
self.fetch_block(docs, accessor); self.fetch_block(docs, accessor);
// no missing values // We can compare docid_cache with docs to find missing docs
if accessor.index.get_cardinality().is_full() { if docs.len() != self.docid_cache.len() || accessor.index.is_multivalue() {
return;
}
// 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
if accessor.index.get_cardinality().is_multivalue() || docs.len() != self.docid_cache.len()
{
self.missing_docids_cache.clear(); self.missing_docids_cache.clear();
find_missing_docs(docs, &self.docid_cache, |doc| { find_missing_docs(docs, &self.docid_cache, |doc| {
self.missing_docids_cache.push(doc); self.missing_docids_cache.push(doc);
@@ -56,25 +44,11 @@ impl<T: PartialOrd + Copy + std::fmt::Debug + Send + Sync + 'static + Default>
} }
#[inline] #[inline]
/// Returns an iterator over the docids and values pub fn iter_docid_vals(&self) -> impl Iterator<Item = (DocId, T)> + '_ {
/// The passed in `docs` slice needs to be the same slice that was passed to `fetch_block` or self.docid_cache
/// `fetch_block_with_missing`. .iter()
/// .cloned()
/// The docs is used if the column is full (each docs has exactly one value), otherwise the .zip(self.val_cache.iter().cloned())
/// internal docid vec is used for the iterator, which e.g. may contain duplicate docs.
pub fn iter_docid_vals<'a>(
&'a self,
docs: &'a [u32],
accessor: &Column<T>,
) -> impl Iterator<Item = (DocId, T)> + '_ {
if accessor.index.get_cardinality().is_full() {
docs.iter().cloned().zip(self.val_cache.iter().cloned())
} else {
self.docid_cache
.iter()
.cloned()
.zip(self.val_cache.iter().cloned())
}
} }
} }

46
columnar/src/column/mod.rs
View File

@@ -3,17 +3,17 @@ mod serialize;
use std::fmt::{self, Debug}; use std::fmt::{self, Debug};
use std::io::Write; use std::io::Write;
use std::ops::{Range, RangeInclusive}; use std::ops::{Deref, Range, RangeInclusive};
use std::sync::Arc; 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_u128, open_column_u128_as_compact_u64, open_column_bytes, open_column_str, open_column_u128, open_column_u64,
open_column_u64, serialize_column_mappable_to_u128, serialize_column_mappable_to_u64, serialize_column_mappable_to_u128, serialize_column_mappable_to_u64,
}; };
use crate::column_index::{ColumnIndex, Set}; use crate::column_index::ColumnIndex;
use crate::column_values::monotonic_mapping::StrictlyMonotonicMappingToInternal; use crate::column_values::monotonic_mapping::StrictlyMonotonicMappingToInternal;
use crate::column_values::{monotonic_map_column, ColumnValues}; use crate::column_values::{monotonic_map_column, ColumnValues};
use crate::{Cardinality, DocId, EmptyColumnValues, MonotonicallyMappableToU64, RowId}; use crate::{Cardinality, DocId, EmptyColumnValues, MonotonicallyMappableToU64, RowId};
@@ -83,36 +83,10 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
self.values.max_value() self.values.max_value()
} }
#[inline]
pub fn first(&self, row_id: RowId) -> Option<T> { pub fn first(&self, row_id: RowId) -> Option<T> {
self.values_for_doc(row_id).next() self.values_for_doc(row_id).next()
} }
/// Load the first value for each docid in the provided slice.
#[inline]
pub fn first_vals(&self, docids: &[DocId], output: &mut [Option<T>]) {
match &self.index {
ColumnIndex::Empty { .. } => {}
ColumnIndex::Full => self.values.get_vals_opt(docids, output),
ColumnIndex::Optional(optional_index) => {
for (i, docid) in docids.iter().enumerate() {
output[i] = optional_index
.rank_if_exists(*docid)
.map(|rowid| self.values.get_val(rowid));
}
}
ColumnIndex::Multivalued(multivalued_index) => {
for (i, docid) in docids.iter().enumerate() {
let range = multivalued_index.range(*docid);
let is_empty = range.start == range.end;
if !is_empty {
output[i] = Some(self.values.get_val(range.start));
}
}
}
}
}
/// Translates a block of docis 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
@@ -131,8 +105,7 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
} }
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.value_row_ids(doc_id)
.value_row_ids(doc_id)
.map(|value_row_id: RowId| self.values.get_val(value_row_id)) .map(|value_row_id: RowId| self.values.get_val(value_row_id))
} }
@@ -174,6 +147,14 @@ impl<T: PartialOrd + Copy + Debug + Send + Sync + 'static> Column<T> {
} }
} }
impl<T> Deref for Column<T> {
type Target = ColumnIndex;
fn deref(&self) -> &Self::Target {
&self.index
}
}
impl BinarySerializable for Cardinality { impl BinarySerializable for Cardinality {
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> std::io::Result<()> { fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> std::io::Result<()> {
self.to_code().serialize(writer) self.to_code().serialize(writer)
@@ -195,7 +176,6 @@ struct FirstValueWithDefault<T: Copy> {
impl<T: PartialOrd + Debug + Send + Sync + Copy + 'static> ColumnValues<T> impl<T: PartialOrd + Debug + Send + Sync + Copy + 'static> ColumnValues<T>
for FirstValueWithDefault<T> for FirstValueWithDefault<T>
{ {
#[inline(always)]
fn get_val(&self, idx: u32) -> T { fn get_val(&self, idx: u32) -> T {
self.column.first(idx).unwrap_or(self.default_value) self.column.first(idx).unwrap_or(self.default_value)
} }

20
columnar/src/column/serialize.rs
View File

@@ -76,26 +76,6 @@ pub fn open_column_u128<T: MonotonicallyMappableToU128>(
}) })
} }
/// Open the column as u64.
///
/// See [`open_u128_as_compact_u64`] for more details.
pub fn open_column_u128_as_compact_u64(bytes: OwnedBytes) -> io::Result<Column<u64>> {
let (body, column_index_num_bytes_payload) = bytes.rsplit(4);
let column_index_num_bytes = u32::from_le_bytes(
column_index_num_bytes_payload
.as_slice()
.try_into()
.unwrap(),
);
let (column_index_data, column_values_data) = body.split(column_index_num_bytes as usize);
let column_index = crate::column_index::open_column_index(column_index_data)?;
let column_values = crate::column_values::open_u128_as_compact_u64(column_values_data)?;
Ok(Column {
index: column_index,
values: column_values,
})
}
pub fn open_column_bytes(data: OwnedBytes) -> io::Result<BytesColumn> { pub fn open_column_bytes(data: OwnedBytes) -> io::Result<BytesColumn> {
let (body, dictionary_len_bytes) = data.rsplit(4); let (body, dictionary_len_bytes) = data.rsplit(4);
let dictionary_len = u32::from_le_bytes(dictionary_len_bytes.as_slice().try_into().unwrap()); let dictionary_len = u32::from_le_bytes(dictionary_len_bytes.as_slice().try_into().unwrap());

26
columnar/src/column_index/merge/mod.rs
View File

@@ -73,18 +73,14 @@ fn detect_cardinality(
pub fn merge_column_index<'a>( pub fn merge_column_index<'a>(
columns: &'a [ColumnIndex], columns: &'a [ColumnIndex],
merge_row_order: &'a MergeRowOrder, merge_row_order: &'a MergeRowOrder,
num_values: u32,
) -> SerializableColumnIndex<'a> { ) -> SerializableColumnIndex<'a> {
// For simplification, we do not try to detect whether the cardinality could be // For simplification, we do not try to detect whether the cardinality could be
// downgraded thanks to deletes. // downgraded thanks to deletes.
let cardinality_after_merge = detect_cardinality(columns, merge_row_order); let cardinality_after_merge = detect_cardinality(columns, merge_row_order);
match merge_row_order { match merge_row_order {
MergeRowOrder::Stack(stack_merge_order) => merge_column_index_stacked( MergeRowOrder::Stack(stack_merge_order) => {
columns, merge_column_index_stacked(columns, cardinality_after_merge, stack_merge_order)
cardinality_after_merge, }
stack_merge_order,
num_values,
),
MergeRowOrder::Shuffled(complex_merge_order) => { MergeRowOrder::Shuffled(complex_merge_order) => {
merge_column_index_shuffled(columns, cardinality_after_merge, complex_merge_order) merge_column_index_shuffled(columns, cardinality_after_merge, complex_merge_order)
} }
@@ -171,12 +167,8 @@ mod tests {
], ],
) )
.into(); .into();
let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order, 3); let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order);
let SerializableColumnIndex::Multivalued { let SerializableColumnIndex::Multivalued(start_index_iterable) = merged_column_index else {
indices: start_index_iterable,
..
} = merged_column_index
else {
panic!("Excpected a multivalued index") panic!("Excpected a multivalued index")
}; };
let start_indexes: Vec<RowId> = start_index_iterable.boxed_iter().collect(); let start_indexes: Vec<RowId> = start_index_iterable.boxed_iter().collect();
@@ -208,12 +200,8 @@ mod tests {
], ],
) )
.into(); .into();
let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order, 6); let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order);
let SerializableColumnIndex::Multivalued { let SerializableColumnIndex::Multivalued(start_index_iterable) = merged_column_index else {
indices: start_index_iterable,
..
} = merged_column_index
else {
panic!("Excpected a multivalued index") panic!("Excpected a multivalued index")
}; };
let start_indexes: Vec<RowId> = start_index_iterable.boxed_iter().collect(); let start_indexes: Vec<RowId> = start_index_iterable.boxed_iter().collect();

7
columnar/src/column_index/merge/shuffled.rs
View File

@@ -22,10 +22,7 @@ pub fn merge_column_index_shuffled<'a>(
Cardinality::Multivalued => { Cardinality::Multivalued => {
let multivalue_start_index = let multivalue_start_index =
merge_column_index_shuffled_multivalued(column_indexes, shuffle_merge_order); merge_column_index_shuffled_multivalued(column_indexes, shuffle_merge_order);
SerializableColumnIndex::Multivalued { SerializableColumnIndex::Multivalued(multivalue_start_index)
indices: multivalue_start_index,
stats: None,
}
} }
} }
} }
@@ -143,7 +140,7 @@ mod tests {
#[test] #[test]
fn test_merge_column_index_optional_shuffle() { fn test_merge_column_index_optional_shuffle() {
let optional_index: ColumnIndex = OptionalIndex::for_test(2, &[0]).into(); let optional_index: ColumnIndex = OptionalIndex::for_test(2, &[0]).into();
let column_indexes = [optional_index, ColumnIndex::Full]; let column_indexes = vec![optional_index, ColumnIndex::Full];
let row_addrs = vec![ let row_addrs = vec![
RowAddr { RowAddr {
segment_ord: 0u32, segment_ord: 0u32,

20
columnar/src/column_index/merge/stacked.rs
View File

@@ -1,8 +1,6 @@
use std::iter; use std::iter;
use std::num::NonZeroU64;
use crate::column_index::{SerializableColumnIndex, Set}; use crate::column_index::{SerializableColumnIndex, Set};
use crate::column_values::ColumnStats;
use crate::iterable::Iterable; use crate::iterable::Iterable;
use crate::{Cardinality, ColumnIndex, RowId, StackMergeOrder}; use crate::{Cardinality, ColumnIndex, RowId, StackMergeOrder};
@@ -14,7 +12,6 @@ pub fn merge_column_index_stacked<'a>(
columns: &'a [ColumnIndex], columns: &'a [ColumnIndex],
cardinality_after_merge: Cardinality, cardinality_after_merge: Cardinality,
stack_merge_order: &'a StackMergeOrder, stack_merge_order: &'a StackMergeOrder,
num_values: u32,
) -> SerializableColumnIndex<'a> { ) -> SerializableColumnIndex<'a> {
match cardinality_after_merge { match cardinality_after_merge {
Cardinality::Full => SerializableColumnIndex::Full, Cardinality::Full => SerializableColumnIndex::Full,
@@ -30,17 +27,7 @@ pub fn merge_column_index_stacked<'a>(
columns, columns,
stack_merge_order, stack_merge_order,
}; };
SerializableColumnIndex::Multivalued { SerializableColumnIndex::Multivalued(Box::new(stacked_multivalued_index))
indices: Box::new(stacked_multivalued_index),
stats: Some(ColumnStats {
gcd: NonZeroU64::new(1).unwrap(),
// The values in the multivalue index are the positions of the values
min_value: 0,
max_value: num_values as u64,
// This is num docs, but it starts at 0 so we need +1
num_rows: stack_merge_order.num_rows() + 1,
}),
}
} }
} }
} }
@@ -124,7 +111,10 @@ fn stack_multivalued_indexes<'a>(
let mut last_row_id = 0; let mut last_row_id = 0;
let mut current_it = multivalued_indexes.next(); let mut current_it = multivalued_indexes.next();
Box::new(std::iter::from_fn(move || loop { Box::new(std::iter::from_fn(move || loop {
if let Some(row_id) = current_it.as_mut()?.next() { let Some(multivalued_index) = current_it.as_mut() else {
return None;
};
if let Some(row_id) = multivalued_index.next() {
last_row_id = offset + row_id; last_row_id = offset + row_id;
return Some(last_row_id); return Some(last_row_id);
} }

16
columnar/src/column_index/mod.rs
View File

@@ -42,6 +42,10 @@ impl From<MultiValueIndex> for ColumnIndex {
} }
impl ColumnIndex { impl ColumnIndex {
#[inline]
pub fn is_multivalue(&self) -> bool {
matches!(self, ColumnIndex::Multivalued(_))
}
/// Returns the cardinality of the column index. /// Returns the cardinality of the column index.
/// ///
/// By convention, if the column contains no docs, we consider that it is /// By convention, if the column contains no docs, we consider that it is
@@ -122,18 +126,18 @@ impl ColumnIndex {
} }
} }
pub fn docid_range_to_rowids(&self, doc_id_range: Range<DocId>) -> Range<RowId> { pub fn docid_range_to_rowids(&self, doc_id: Range<DocId>) -> Range<RowId> {
match self { match self {
ColumnIndex::Empty { .. } => 0..0, ColumnIndex::Empty { .. } => 0..0,
ColumnIndex::Full => doc_id_range, ColumnIndex::Full => doc_id,
ColumnIndex::Optional(optional_index) => { ColumnIndex::Optional(optional_index) => {
let row_start = optional_index.rank(doc_id_range.start); let row_start = optional_index.rank(doc_id.start);
let row_end = optional_index.rank(doc_id_range.end); let row_end = optional_index.rank(doc_id.end);
row_start..row_end row_start..row_end
} }
ColumnIndex::Multivalued(multivalued_index) => { ColumnIndex::Multivalued(multivalued_index) => {
let end_docid = doc_id_range.end.min(multivalued_index.num_docs() - 1) + 1; let end_docid = doc_id.end.min(multivalued_index.num_docs() - 1) + 1;
let start_docid = doc_id_range.start.min(end_docid); let start_docid = doc_id.start.min(end_docid);
let row_start = multivalued_index.start_index_column.get_val(start_docid); let row_start = multivalued_index.start_index_column.get_val(start_docid);
let row_end = multivalued_index.start_index_column.get_val(end_docid); let row_end = multivalued_index.start_index_column.get_val(end_docid);

23
columnar/src/column_index/multivalued_index.rs
View File

@@ -6,29 +6,20 @@ use std::sync::Arc;
use common::OwnedBytes; use common::OwnedBytes;
use crate::column_values::{ use crate::column_values::{
load_u64_based_column_values, serialize_u64_based_column_values, load_u64_based_column_values, serialize_u64_based_column_values, CodecType, ColumnValues,
serialize_u64_with_codec_and_stats, CodecType, ColumnStats, ColumnValues,
}; };
use crate::iterable::Iterable; use crate::iterable::Iterable;
use crate::{DocId, RowId}; use crate::{DocId, RowId};
pub fn serialize_multivalued_index( pub fn serialize_multivalued_index(
multivalued_index: &dyn Iterable<RowId>, multivalued_index: &dyn Iterable<RowId>,
stats: Option<ColumnStats>,
output: &mut impl Write, output: &mut impl Write,
) -> io::Result<()> { ) -> io::Result<()> {
if let Some(stats) = stats { serialize_u64_based_column_values(
// TODO: Add something with higher compression that doesn't require a full scan upfront multivalued_index,
let estimator = CodecType::Bitpacked.estimator(); &[CodecType::Bitpacked, CodecType::Linear],
assert!(!estimator.requires_full_scan()); output,
serialize_u64_with_codec_and_stats(multivalued_index, estimator, stats, output)?; )?;
} else {
serialize_u64_based_column_values(
multivalued_index,
&[CodecType::Bitpacked, CodecType::Linear],
output,
)?;
}
Ok(()) Ok(())
} }
@@ -61,7 +52,7 @@ impl From<Arc<dyn ColumnValues<RowId>>> for MultiValueIndex {
impl MultiValueIndex { impl MultiValueIndex {
pub fn for_test(start_offsets: &[RowId]) -> MultiValueIndex { pub fn for_test(start_offsets: &[RowId]) -> MultiValueIndex {
let mut buffer = Vec::new(); let mut buffer = Vec::new();
serialize_multivalued_index(&start_offsets, None, &mut buffer).unwrap(); serialize_multivalued_index(&start_offsets, &mut buffer).unwrap();
let bytes = OwnedBytes::new(buffer); let bytes = OwnedBytes::new(buffer);
open_multivalued_index(bytes).unwrap() open_multivalued_index(bytes).unwrap()
} }

18
columnar/src/column_index/optional_index/mod.rs
View File

@@ -21,6 +21,8 @@ const DENSE_BLOCK_THRESHOLD: u32 =
const ELEMENTS_PER_BLOCK: u32 = u16::MAX as u32 + 1; const ELEMENTS_PER_BLOCK: u32 = u16::MAX as u32 + 1;
const BLOCK_SIZE: RowId = 1 << 16;
#[derive(Copy, Clone, Debug)] #[derive(Copy, Clone, Debug)]
struct BlockMeta { struct BlockMeta {
non_null_rows_before_block: u32, non_null_rows_before_block: u32,
@@ -107,8 +109,8 @@ struct RowAddr {
#[inline(always)] #[inline(always)]
fn row_addr_from_row_id(row_id: RowId) -> RowAddr { fn row_addr_from_row_id(row_id: RowId) -> RowAddr {
RowAddr { RowAddr {
block_id: (row_id / ELEMENTS_PER_BLOCK) as u16, block_id: (row_id / BLOCK_SIZE) as u16,
in_block_row_id: (row_id % ELEMENTS_PER_BLOCK) as u16, in_block_row_id: (row_id % BLOCK_SIZE) as u16,
} }
} }
@@ -183,20 +185,14 @@ impl Set<RowId> for OptionalIndex {
} }
} }
/// Any value doc_id is allowed.
/// In particular, doc_id = num_rows.
#[inline] #[inline]
fn rank(&self, doc_id: DocId) -> RowId { fn rank(&self, doc_id: DocId) -> RowId {
if doc_id >= self.num_docs() {
return self.num_non_nulls();
}
let RowAddr { let RowAddr {
block_id, block_id,
in_block_row_id, in_block_row_id,
} = row_addr_from_row_id(doc_id); } = row_addr_from_row_id(doc_id);
let block_meta = self.block_metas[block_id as usize]; let block_meta = self.block_metas[block_id as usize];
let block = self.block(block_meta); let block = self.block(block_meta);
let block_offset_row_id = match block { let block_offset_row_id = match block {
Block::Dense(dense_block) => dense_block.rank(in_block_row_id), Block::Dense(dense_block) => dense_block.rank(in_block_row_id),
Block::Sparse(sparse_block) => sparse_block.rank(in_block_row_id), Block::Sparse(sparse_block) => sparse_block.rank(in_block_row_id),
@@ -204,15 +200,13 @@ impl Set<RowId> for OptionalIndex {
block_meta.non_null_rows_before_block + block_offset_row_id block_meta.non_null_rows_before_block + block_offset_row_id
} }
/// Any value doc_id is allowed.
/// In particular, doc_id = num_rows.
#[inline] #[inline]
fn rank_if_exists(&self, doc_id: DocId) -> Option<RowId> { fn rank_if_exists(&self, doc_id: DocId) -> Option<RowId> {
let RowAddr { let RowAddr {
block_id, block_id,
in_block_row_id, in_block_row_id,
} = row_addr_from_row_id(doc_id); } = row_addr_from_row_id(doc_id);
let block_meta = *self.block_metas.get(block_id as usize)?; let block_meta = self.block_metas[block_id as usize];
let block = self.block(block_meta); let block = self.block(block_meta);
let block_offset_row_id = match block { let block_offset_row_id = match block {
Block::Dense(dense_block) => dense_block.rank_if_exists(in_block_row_id), Block::Dense(dense_block) => dense_block.rank_if_exists(in_block_row_id),
@@ -497,7 +491,7 @@ fn deserialize_optional_index_block_metadatas(
non_null_rows_before_block += num_non_null_rows; non_null_rows_before_block += num_non_null_rows;
} }
block_metas.resize( block_metas.resize(
((num_rows + ELEMENTS_PER_BLOCK - 1) / ELEMENTS_PER_BLOCK) as usize, ((num_rows + BLOCK_SIZE - 1) / BLOCK_SIZE) as usize,
BlockMeta { BlockMeta {
non_null_rows_before_block, non_null_rows_before_block,
start_byte_offset, start_byte_offset,

3
columnar/src/column_index/optional_index/set.rs
View File

@@ -39,8 +39,7 @@ pub trait Set<T> {
/// ///
/// # Panics /// # Panics
/// ///
/// May panic if rank is greater or equal to the number of /// May panic if rank is greater than the number of elements in the Set.
/// elements in the Set.
fn select(&self, rank: T) -> T; fn select(&self, rank: T) -> T;
/// Creates a brand new select cursor. /// Creates a brand new select cursor.

1
columnar/src/column_index/optional_index/set_block/dense.rs
View File

@@ -1,3 +1,4 @@
use std::convert::TryInto;
use std::io::{self, Write}; use std::io::{self, Write};
use common::BinarySerializable; use common::BinarySerializable;

35
columnar/src/column_index/optional_index/tests.rs
View File

@@ -1,31 +1,8 @@
use proptest::prelude::*; use proptest::prelude::{any, prop, *};
use proptest::strategy::Strategy;
use proptest::{prop_oneof, proptest}; use proptest::{prop_oneof, proptest};
use super::*; use super::*;
use crate::{ColumnarReader, ColumnarWriter, DynamicColumnHandle};
#[test]
fn test_optional_index_bug_2293() {
// tests for panic in docid_range_to_rowids for docid == num_docs
test_optional_index_with_num_docs(ELEMENTS_PER_BLOCK - 1);
test_optional_index_with_num_docs(ELEMENTS_PER_BLOCK);
test_optional_index_with_num_docs(ELEMENTS_PER_BLOCK + 1);
}
fn test_optional_index_with_num_docs(num_docs: u32) {
let mut dataframe_writer = ColumnarWriter::default();
dataframe_writer.record_numerical(100, "score", 80i64);
let mut buffer: Vec<u8> = Vec::new();
dataframe_writer
.serialize(num_docs, None, &mut buffer)
.unwrap();
let columnar = ColumnarReader::open(buffer).unwrap();
assert_eq!(columnar.num_columns(), 1);
let cols: Vec<DynamicColumnHandle> = columnar.read_columns("score").unwrap();
assert_eq!(cols.len(), 1);
let col = cols[0].open().unwrap();
col.column_index().docid_range_to_rowids(0..num_docs);
}
#[test] #[test]
fn test_dense_block_threshold() { fn test_dense_block_threshold() {
@@ -58,7 +35,7 @@ proptest! {
#[test] #[test]
fn test_with_random_sets_simple() { fn test_with_random_sets_simple() {
let vals = 10..ELEMENTS_PER_BLOCK * 2; let vals = 10..BLOCK_SIZE * 2;
let mut out: Vec<u8> = Vec::new(); let mut out: Vec<u8> = Vec::new();
serialize_optional_index(&vals, 100, &mut out).unwrap(); serialize_optional_index(&vals, 100, &mut out).unwrap();
let null_index = open_optional_index(OwnedBytes::new(out)).unwrap(); let null_index = open_optional_index(OwnedBytes::new(out)).unwrap();
@@ -194,7 +171,7 @@ fn test_optional_index_rank() {
test_optional_index_rank_aux(&[0u32, 1u32]); test_optional_index_rank_aux(&[0u32, 1u32]);
let mut block = Vec::new(); let mut block = Vec::new();
block.push(3u32); block.push(3u32);
block.extend((0..ELEMENTS_PER_BLOCK).map(|i| i + ELEMENTS_PER_BLOCK + 1)); block.extend((0..BLOCK_SIZE).map(|i| i + BLOCK_SIZE + 1));
test_optional_index_rank_aux(&block); test_optional_index_rank_aux(&block);
} }
@@ -208,8 +185,8 @@ fn test_optional_index_iter_empty_one() {
fn test_optional_index_iter_dense_block() { fn test_optional_index_iter_dense_block() {
let mut block = Vec::new(); let mut block = Vec::new();
block.push(3u32); block.push(3u32);
block.extend((0..ELEMENTS_PER_BLOCK).map(|i| i + ELEMENTS_PER_BLOCK + 1)); block.extend((0..BLOCK_SIZE).map(|i| i + BLOCK_SIZE + 1));
test_optional_index_iter_aux(&block, 3 * ELEMENTS_PER_BLOCK); test_optional_index_iter_aux(&block, 3 * BLOCK_SIZE);
} }
#[test] #[test]

19
columnar/src/column_index/serialize.rs
View File

@@ -6,7 +6,6 @@ use common::{CountingWriter, OwnedBytes};
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::column_index::ColumnIndex;
use crate::column_values::ColumnStats;
use crate::iterable::Iterable; use crate::iterable::Iterable;
use crate::{Cardinality, RowId}; use crate::{Cardinality, RowId};
@@ -16,12 +15,9 @@ pub enum SerializableColumnIndex<'a> {
non_null_row_ids: Box<dyn Iterable<RowId> + 'a>, non_null_row_ids: Box<dyn Iterable<RowId> + 'a>,
num_rows: RowId, num_rows: RowId,
}, },
Multivalued { // TODO remove the Arc<dyn> apart from serialization this is not
/// Iterator emitting the indices for the index // dynamic at all.
indices: Box<dyn Iterable<RowId> + 'a>, Multivalued(Box<dyn Iterable<RowId> + 'a>),
/// In the merge case we can precompute the column stats
stats: Option<ColumnStats>,
},
} }
impl<'a> SerializableColumnIndex<'a> { impl<'a> SerializableColumnIndex<'a> {
@@ -29,7 +25,7 @@ impl<'a> SerializableColumnIndex<'a> {
match self { match self {
SerializableColumnIndex::Full => Cardinality::Full, SerializableColumnIndex::Full => Cardinality::Full,
SerializableColumnIndex::Optional { .. } => Cardinality::Optional, SerializableColumnIndex::Optional { .. } => Cardinality::Optional,
SerializableColumnIndex::Multivalued { .. } => Cardinality::Multivalued, SerializableColumnIndex::Multivalued(_) => Cardinality::Multivalued,
} }
} }
} }
@@ -48,10 +44,9 @@ pub fn serialize_column_index(
non_null_row_ids, non_null_row_ids,
num_rows, num_rows,
} => serialize_optional_index(non_null_row_ids.as_ref(), num_rows, &mut output)?, } => serialize_optional_index(non_null_row_ids.as_ref(), num_rows, &mut output)?,
SerializableColumnIndex::Multivalued { SerializableColumnIndex::Multivalued(multivalued_index) => {
indices: multivalued_index, serialize_multivalued_index(&*multivalued_index, &mut output)?
stats, }
} => serialize_multivalued_index(&*multivalued_index, stats, &mut output)?,
} }
let column_index_num_bytes = output.written_bytes() as u32; let column_index_num_bytes = output.written_bytes() as u32;
Ok(column_index_num_bytes) Ok(column_index_num_bytes)

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

@@ -10,7 +10,7 @@ pub(crate) struct MergedColumnValues<'a, T> {
pub(crate) merge_row_order: &'a MergeRowOrder, pub(crate) merge_row_order: &'a MergeRowOrder,
} }
impl<'a, T: Copy + PartialOrd + Debug + 'static> Iterable<T> for MergedColumnValues<'a, T> { impl<'a, T: Copy + PartialOrd + Debug> Iterable<T> for MergedColumnValues<'a, T> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = T> + '_> { fn boxed_iter(&self) -> Box<dyn Iterator<Item = T> + '_> {
match self.merge_row_order { match self.merge_row_order {
MergeRowOrder::Stack(_) => Box::new( MergeRowOrder::Stack(_) => Box::new(

58
columnar/src/column_values/mod.rs
View File

@@ -10,7 +10,6 @@ use std::fmt::Debug;
use std::ops::{Range, RangeInclusive}; use std::ops::{Range, RangeInclusive};
use std::sync::Arc; use std::sync::Arc;
use downcast_rs::DowncastSync;
pub use monotonic_mapping::{MonotonicallyMappableToU64, StrictlyMonotonicFn}; pub use monotonic_mapping::{MonotonicallyMappableToU64, StrictlyMonotonicFn};
pub use monotonic_mapping_u128::MonotonicallyMappableToU128; pub use monotonic_mapping_u128::MonotonicallyMappableToU128;
@@ -26,14 +25,10 @@ mod monotonic_column;
pub(crate) use merge::MergedColumnValues; pub(crate) use merge::MergedColumnValues;
pub use stats::ColumnStats; pub use stats::ColumnStats;
pub use u128_based::{ pub use u128_based::{open_u128_mapped, serialize_column_values_u128};
open_u128_as_compact_u64, open_u128_mapped, serialize_column_values_u128,
CompactSpaceU64Accessor,
};
pub use u64_based::{ pub use u64_based::{
load_u64_based_column_values, serialize_and_load_u64_based_column_values, load_u64_based_column_values, serialize_and_load_u64_based_column_values,
serialize_u64_based_column_values, serialize_u64_with_codec_and_stats, CodecType, serialize_u64_based_column_values, CodecType, ALL_U64_CODEC_TYPES,
ALL_U64_CODEC_TYPES,
}; };
pub use vec_column::VecColumn; pub use vec_column::VecColumn;
@@ -46,7 +41,7 @@ use crate::RowId;
/// ///
/// Any methods with a default and specialized implementation need to be called in the /// Any methods with a default and specialized implementation need to be called in the
/// wrappers that implement the trait: Arc and MonotonicMappingColumn /// wrappers that implement the trait: Arc and MonotonicMappingColumn
pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync + DowncastSync { pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync {
/// Return the value associated with the given idx. /// Return the value associated with the given idx.
/// ///
/// This accessor should return as fast as possible. /// This accessor should return as fast as possible.
@@ -73,40 +68,11 @@ pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync + DowncastSync {
out_x4[3] = self.get_val(idx_x4[3]); out_x4[3] = self.get_val(idx_x4[3]);
} }
let out_and_idx_chunks = output let step_size = 4;
.chunks_exact_mut(4) let cutoff = indexes.len() - indexes.len() % step_size;
.into_remainder()
.iter_mut()
.zip(indexes.chunks_exact(4).remainder());
for (out, idx) in out_and_idx_chunks {
*out = self.get_val(*idx);
}
}
/// Allows to push down multiple fetch calls, to avoid dynamic dispatch overhead. for idx in cutoff..indexes.len() {
/// The slightly weird `Option<T>` in output allows pushdown to full columns. output[idx] = self.get_val(indexes[idx]);
///
/// idx and output should have the same length
///
/// # Panics
///
/// May panic if `idx` is greater than the column length.
fn get_vals_opt(&self, indexes: &[u32], output: &mut [Option<T>]) {
assert!(indexes.len() == output.len());
let out_and_idx_chunks = output.chunks_exact_mut(4).zip(indexes.chunks_exact(4));
for (out_x4, idx_x4) in out_and_idx_chunks {
out_x4[0] = Some(self.get_val(idx_x4[0]));
out_x4[1] = Some(self.get_val(idx_x4[1]));
out_x4[2] = Some(self.get_val(idx_x4[2]));
out_x4[3] = Some(self.get_val(idx_x4[3]));
}
let out_and_idx_chunks = output
.chunks_exact_mut(4)
.into_remainder()
.iter_mut()
.zip(indexes.chunks_exact(4).remainder());
for (out, idx) in out_and_idx_chunks {
*out = Some(self.get_val(*idx));
} }
} }
@@ -135,7 +101,7 @@ pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync + DowncastSync {
row_id_hits: &mut Vec<RowId>, row_id_hits: &mut Vec<RowId>,
) { ) {
let row_id_range = row_id_range.start..row_id_range.end.min(self.num_vals()); let row_id_range = row_id_range.start..row_id_range.end.min(self.num_vals());
for idx in row_id_range { for idx in row_id_range.start..row_id_range.end {
let val = self.get_val(idx); let val = self.get_val(idx);
if value_range.contains(&val) { if value_range.contains(&val) {
row_id_hits.push(idx); row_id_hits.push(idx);
@@ -173,7 +139,6 @@ pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync + DowncastSync {
Box::new((0..self.num_vals()).map(|idx| self.get_val(idx))) Box::new((0..self.num_vals()).map(|idx| self.get_val(idx)))
} }
} }
downcast_rs::impl_downcast!(sync ColumnValues<T> where T: PartialOrd);
/// Empty column of values. /// Empty column of values.
pub struct EmptyColumnValues; pub struct EmptyColumnValues;
@@ -196,17 +161,12 @@ impl<T: PartialOrd + Default> ColumnValues<T> for EmptyColumnValues {
} }
} }
impl<T: Copy + PartialOrd + Debug + 'static> ColumnValues<T> for Arc<dyn ColumnValues<T>> { impl<T: Copy + PartialOrd + Debug> ColumnValues<T> for Arc<dyn ColumnValues<T>> {
#[inline(always)] #[inline(always)]
fn get_val(&self, idx: u32) -> T { fn get_val(&self, idx: u32) -> T {
self.as_ref().get_val(idx) self.as_ref().get_val(idx)
} }
#[inline(always)]
fn get_vals_opt(&self, indexes: &[u32], output: &mut [Option<T>]) {
self.as_ref().get_vals_opt(indexes, output)
}
#[inline(always)] #[inline(always)]
fn min_value(&self) -> T { fn min_value(&self) -> T {
self.as_ref().min_value() self.as_ref().min_value()

18
columnar/src/column_values/monotonic_column.rs
View File

@@ -31,10 +31,10 @@ pub fn monotonic_map_column<C, T, Input, Output>(
monotonic_mapping: T, monotonic_mapping: T,
) -> impl ColumnValues<Output> ) -> impl ColumnValues<Output>
where where
C: ColumnValues<Input> + 'static, C: ColumnValues<Input>,
T: StrictlyMonotonicFn<Input, Output> + Send + Sync + 'static, T: StrictlyMonotonicFn<Input, Output> + Send + Sync,
Input: PartialOrd + Debug + Send + Sync + Clone + 'static, Input: PartialOrd + Debug + Send + Sync + Clone,
Output: PartialOrd + Debug + Send + Sync + Clone + 'static, Output: PartialOrd + Debug + Send + Sync + Clone,
{ {
MonotonicMappingColumn { MonotonicMappingColumn {
from_column, from_column,
@@ -45,10 +45,10 @@ where
impl<C, T, Input, Output> ColumnValues<Output> for MonotonicMappingColumn<C, T, Input> impl<C, T, Input, Output> ColumnValues<Output> for MonotonicMappingColumn<C, T, Input>
where where
C: ColumnValues<Input> + 'static, C: ColumnValues<Input>,
T: StrictlyMonotonicFn<Input, Output> + Send + Sync + 'static, T: StrictlyMonotonicFn<Input, Output> + Send + Sync,
Input: PartialOrd + Send + Debug + Sync + Clone + 'static, Input: PartialOrd + Send + Debug + Sync + Clone,
Output: PartialOrd + Send + Debug + Sync + Clone + 'static, Output: PartialOrd + Send + Debug + Sync + Clone,
{ {
#[inline(always)] #[inline(always)]
fn get_val(&self, idx: u32) -> Output { fn get_val(&self, idx: u32) -> Output {
@@ -107,7 +107,7 @@ mod tests {
#[test] #[test]
fn test_monotonic_mapping_iter() { fn test_monotonic_mapping_iter() {
let vals: Vec<u64> = (0..100u64).map(|el| el * 10).collect(); let vals: Vec<u64> = (0..100u64).map(|el| el * 10).collect();
let col = VecColumn::from(vals); let col = VecColumn::from(&vals);
let mapped = monotonic_map_column( let mapped = monotonic_map_column(
col, col,
StrictlyMonotonicMappingInverter::from(StrictlyMonotonicMappingToInternal::<i64>::new()), StrictlyMonotonicMappingInverter::from(StrictlyMonotonicMappingToInternal::<i64>::new()),

68
columnar/src/column_values/u128_based/compact_space/mod.rs
View File

@@ -22,7 +22,7 @@ mod build_compact_space;
use build_compact_space::get_compact_space; 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::{self, BitPacker, BitUnpacker};
use crate::column_values::ColumnValues; use crate::column_values::ColumnValues;
use crate::RowId; use crate::RowId;
@@ -148,7 +148,7 @@ impl CompactSpace {
.binary_search_by_key(&compact, |range_mapping| range_mapping.compact_start) .binary_search_by_key(&compact, |range_mapping| range_mapping.compact_start)
// Correctness: Overflow. The first range starts at compact space 0, the error from // Correctness: Overflow. The first range starts at compact space 0, the error from
// binary search can never be 0 // binary search can never be 0
.unwrap_or_else(|e| e - 1); .map_or_else(|e| e - 1, |v| v);
let range_mapping = &self.ranges_mapping[pos]; let range_mapping = &self.ranges_mapping[pos];
let diff = compact - range_mapping.compact_start; let diff = compact - range_mapping.compact_start;
@@ -292,63 +292,6 @@ impl BinarySerializable for IPCodecParams {
} }
} }
/// Exposes the compact space compressed values as u64.
///
/// This allows faster access to the values, as u64 is faster to work with than u128.
/// It also allows to handle u128 values like u64, via the `open_u64_lenient` as a uniform
/// access interface.
///
/// When converting from the internal u64 to u128 `compact_to_u128` can be used.
pub struct CompactSpaceU64Accessor(CompactSpaceDecompressor);
impl CompactSpaceU64Accessor {
pub(crate) fn open(data: OwnedBytes) -> io::Result<CompactSpaceU64Accessor> {
let decompressor = CompactSpaceU64Accessor(CompactSpaceDecompressor::open(data)?);
Ok(decompressor)
}
/// Convert a compact space value to u128
pub fn compact_to_u128(&self, compact: u32) -> u128 {
self.0.compact_to_u128(compact)
}
}
impl ColumnValues<u64> for CompactSpaceU64Accessor {
#[inline]
fn get_val(&self, doc: u32) -> u64 {
let compact = self.0.get_compact(doc);
compact as u64
}
fn min_value(&self) -> u64 {
self.0.u128_to_compact(self.0.min_value()).unwrap() as u64
}
fn max_value(&self) -> u64 {
self.0.u128_to_compact(self.0.max_value()).unwrap() as u64
}
fn num_vals(&self) -> u32 {
self.0.params.num_vals
}
#[inline]
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
Box::new(self.0.iter_compact().map(|el| el as u64))
}
#[inline]
fn get_row_ids_for_value_range(
&self,
value_range: RangeInclusive<u64>,
position_range: Range<u32>,
positions: &mut Vec<u32>,
) {
let value_range = self.0.compact_to_u128(*value_range.start() as u32)
..=self.0.compact_to_u128(*value_range.end() as u32);
self.0
.get_row_ids_for_value_range(value_range, position_range, positions)
}
}
impl ColumnValues<u128> for CompactSpaceDecompressor { impl ColumnValues<u128> for CompactSpaceDecompressor {
#[inline] #[inline]
fn get_val(&self, doc: u32) -> u128 { fn get_val(&self, doc: u32) -> u128 {
@@ -459,14 +402,9 @@ impl CompactSpaceDecompressor {
.map(|compact| self.compact_to_u128(compact)) .map(|compact| self.compact_to_u128(compact))
} }
#[inline]
pub fn get_compact(&self, idx: u32) -> u32 {
self.params.bit_unpacker.get(idx, &self.data) as u32
}
#[inline] #[inline]
pub fn get(&self, idx: u32) -> u128 { pub fn get(&self, idx: u32) -> u128 {
let compact = self.get_compact(idx); let compact = self.params.bit_unpacker.get(idx, &self.data) as u32;
self.compact_to_u128(compact) self.compact_to_u128(compact)
} }

21
columnar/src/column_values/u128_based/mod.rs
View File

@@ -6,9 +6,7 @@ use std::sync::Arc;
mod compact_space; mod compact_space;
use common::{BinarySerializable, OwnedBytes, VInt}; use common::{BinarySerializable, OwnedBytes, VInt};
pub use compact_space::{ use compact_space::{CompactSpaceCompressor, CompactSpaceDecompressor};
CompactSpaceCompressor, CompactSpaceDecompressor, CompactSpaceU64Accessor,
};
use crate::column_values::monotonic_map_column; use crate::column_values::monotonic_map_column;
use crate::column_values::monotonic_mapping::{ use crate::column_values::monotonic_mapping::{
@@ -110,23 +108,6 @@ pub fn open_u128_mapped<T: MonotonicallyMappableToU128 + Debug>(
StrictlyMonotonicMappingToInternal::<T>::new().into(); StrictlyMonotonicMappingToInternal::<T>::new().into();
Ok(Arc::new(monotonic_map_column(reader, inverted))) Ok(Arc::new(monotonic_map_column(reader, inverted)))
} }
/// Returns the u64 representation of the u128 data.
/// The internal representation of the data as u64 is useful for faster processing.
///
/// In order to convert to u128 back cast to `CompactSpaceU64Accessor` and call
/// `compact_to_u128`.
///
/// # Notice
/// In case there are new codecs added, check for usages of `CompactSpaceDecompressorU64` and
/// also handle the new codecs.
pub fn open_u128_as_compact_u64(mut bytes: OwnedBytes) -> io::Result<Arc<dyn ColumnValues<u64>>> {
let header = U128Header::deserialize(&mut bytes)?;
assert_eq!(header.codec_type, U128FastFieldCodecType::CompactSpace);
let reader = CompactSpaceU64Accessor::open(bytes)?;
Ok(Arc::new(reader))
}
#[cfg(test)] #[cfg(test)]
pub mod tests { pub mod tests {
use super::*; use super::*;

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

@@ -63,6 +63,7 @@ impl ColumnValues for BitpackedReader {
fn get_val(&self, doc: u32) -> u64 { fn get_val(&self, doc: u32) -> u64 {
self.stats.min_value + self.stats.gcd.get() * self.bit_unpacker.get(doc, &self.data) self.stats.min_value + self.stats.gcd.get() * self.bit_unpacker.get(doc, &self.data)
} }
#[inline] #[inline]
fn min_value(&self) -> u64 { fn min_value(&self) -> u64 {
self.stats.min_value self.stats.min_value
@@ -128,9 +129,6 @@ impl ColumnCodecEstimator for BitpackedCodecEstimator {
bit_packer.close(wrt)?; bit_packer.close(wrt)?;
Ok(()) Ok(())
} }
fn codec_type(&self) -> super::CodecType {
super::CodecType::Bitpacked
}
} }
pub struct BitpackedCodec; pub struct BitpackedCodec;

11
columnar/src/column_values/u64_based/blockwise_linear.rs
View File

@@ -63,10 +63,7 @@ impl BlockwiseLinearEstimator {
if self.block.is_empty() { if self.block.is_empty() {
return; return;
} }
let column = VecColumn::from(std::mem::take(&mut self.block)); let line = Line::train(&VecColumn::from(&self.block));
let line = Line::train(&column);
self.block = column.into();
let mut max_value = 0u64; let mut max_value = 0u64;
for (i, buffer_val) in self.block.iter().enumerate() { for (i, buffer_val) in self.block.iter().enumerate() {
let interpolated_val = line.eval(i as u32); let interpolated_val = line.eval(i as u32);
@@ -128,7 +125,7 @@ impl ColumnCodecEstimator for BlockwiseLinearEstimator {
*buffer_val = gcd_divider.divide(*buffer_val - stats.min_value); *buffer_val = gcd_divider.divide(*buffer_val - stats.min_value);
} }
let line = Line::train(&VecColumn::from(buffer.to_vec())); let line = Line::train(&VecColumn::from(&buffer));
assert!(!buffer.is_empty()); assert!(!buffer.is_empty());
@@ -163,10 +160,6 @@ impl ColumnCodecEstimator for BlockwiseLinearEstimator {
Ok(()) Ok(())
} }
fn codec_type(&self) -> super::CodecType {
super::CodecType::BlockwiseLinear
}
} }
pub struct BlockwiseLinearCodec; pub struct BlockwiseLinearCodec;

2
columnar/src/column_values/u64_based/line.rs
View File

@@ -184,7 +184,7 @@ mod tests {
} }
fn test_eval_max_err(ys: &[u64]) -> Option<u64> { fn test_eval_max_err(ys: &[u64]) -> Option<u64> {
let line = Line::train(&VecColumn::from(ys.to_vec())); let line = Line::train(&VecColumn::from(&ys));
ys.iter() ys.iter()
.enumerate() .enumerate()
.map(|(x, y)| y.wrapping_sub(line.eval(x as u32))) .map(|(x, y)| y.wrapping_sub(line.eval(x as u32)))

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

@@ -153,12 +153,6 @@ impl ColumnCodecEstimator for LinearCodecEstimator {
self.collect_before_line_estimation(value); self.collect_before_line_estimation(value);
} }
} }
fn requires_full_scan(&self) -> bool {
true
}
fn codec_type(&self) -> super::CodecType {
super::CodecType::Linear
}
} }
impl LinearCodecEstimator { impl LinearCodecEstimator {
@@ -179,9 +173,7 @@ impl LinearCodecEstimator {
fn collect_before_line_estimation(&mut self, value: u64) { fn collect_before_line_estimation(&mut self, value: u64) {
self.block.push(value); self.block.push(value);
if self.block.len() == LINE_ESTIMATION_BLOCK_LEN { if self.block.len() == LINE_ESTIMATION_BLOCK_LEN {
let column = VecColumn::from(std::mem::take(&mut self.block)); let line = Line::train(&VecColumn::from(&self.block));
let line = Line::train(&column);
self.block = column.into();
let block = std::mem::take(&mut self.block); let block = std::mem::take(&mut self.block);
for val in block { for val in block {
self.collect_after_line_estimation(&line, val); self.collect_after_line_estimation(&line, val);

39
columnar/src/column_values/u64_based/mod.rs
View File

@@ -37,11 +37,7 @@ pub trait ColumnCodecEstimator<T = u64>: 'static {
/// This method will be called for each element of the column during /// This method will be called for each element of the column during
/// `estimation`. /// `estimation`.
fn collect(&mut self, value: u64); fn collect(&mut self, value: u64);
/// Returns true if the estimator needs a full pass over the column before serialization /// Finalizes the first pass phase.
fn requires_full_scan(&self) -> bool {
false
}
fn codec_type(&self) -> CodecType;
fn finalize(&mut self) {} fn finalize(&mut self) {}
/// Returns an accurate estimation of the number of bytes that will /// Returns an accurate estimation of the number of bytes that will
/// be used to represent this column. /// be used to represent this column.
@@ -154,45 +150,34 @@ pub fn serialize_u64_based_column_values<T: MonotonicallyMappableToU64>(
wrt: &mut dyn Write, wrt: &mut dyn Write,
) -> io::Result<()> { ) -> io::Result<()> {
let mut stats_collector = StatsCollector::default(); let mut stats_collector = StatsCollector::default();
let mut estimators: Vec<Box<dyn ColumnCodecEstimator>> = Vec::with_capacity(codec_types.len()); let mut estimators: Vec<(CodecType, Box<dyn ColumnCodecEstimator>)> =
Vec::with_capacity(codec_types.len());
for &codec_type in codec_types { for &codec_type in codec_types {
estimators.push(codec_type.estimator()); estimators.push((codec_type, codec_type.estimator()));
} }
for val in vals.boxed_iter() { for val in vals.boxed_iter() {
let val_u64 = val.to_u64(); let val_u64 = val.to_u64();
stats_collector.collect(val_u64); stats_collector.collect(val_u64);
for estimator in &mut estimators { for (_, estimator) in &mut estimators {
estimator.collect(val_u64); estimator.collect(val_u64);
} }
} }
for estimator in &mut estimators { for (_, estimator) in &mut estimators {
estimator.finalize(); estimator.finalize();
} }
let stats = stats_collector.stats(); let stats = stats_collector.stats();
let (_, best_codec) = estimators let (_, best_codec, best_codec_estimator) = estimators
.into_iter() .into_iter()
.flat_map(|estimator| { .flat_map(|(codec_type, estimator)| {
let num_bytes = estimator.estimate(&stats)?; let num_bytes = estimator.estimate(&stats)?;
Some((num_bytes, estimator)) Some((num_bytes, codec_type, estimator))
}) })
.min_by_key(|(num_bytes, _)| *num_bytes) .min_by_key(|(num_bytes, _, _)| *num_bytes)
.ok_or_else(|| { .ok_or_else(|| {
io::Error::new(io::ErrorKind::InvalidData, "No available applicable codec.") io::Error::new(io::ErrorKind::InvalidData, "No available applicable codec.")
})?; })?;
serialize_u64_with_codec_and_stats(vals, best_codec, stats, wrt)?; best_codec.to_code().serialize(wrt)?;
Ok(()) best_codec_estimator.serialize(
}
/// Serializes a given column of u64-mapped values.
/// The codec estimator needs to be collected fully for the Line codec before calling this.
pub fn serialize_u64_with_codec_and_stats<T: MonotonicallyMappableToU64>(
vals: &dyn Iterable<T>,
codec: Box<dyn ColumnCodecEstimator>,
stats: ColumnStats,
wrt: &mut dyn Write,
) -> io::Result<()> {
codec.codec_type().to_code().serialize(wrt)?;
codec.serialize(
&stats, &stats,
&mut vals.boxed_iter().map(MonotonicallyMappableToU64::to_u64), &mut vals.boxed_iter().map(MonotonicallyMappableToU64::to_u64),
wrt, wrt,

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

@@ -1,4 +1,5 @@
use proptest::prelude::*; use proptest::prelude::*;
use proptest::strategy::Strategy;
use proptest::{prop_oneof, proptest}; use proptest::{prop_oneof, proptest};
#[test] #[test]

20
columnar/src/column_values/vec_column.rs
View File

@@ -4,14 +4,14 @@ use tantivy_bitpacker::minmax;
use crate::ColumnValues; use crate::ColumnValues;
/// VecColumn provides `Column` over a `Vec<T>`. /// VecColumn provides `Column` over a slice.
pub struct VecColumn<T = u64> { pub struct VecColumn<'a, T = u64> {
pub(crate) values: Vec<T>, pub(crate) values: &'a [T],
pub(crate) min_value: T, pub(crate) min_value: T,
pub(crate) max_value: T, pub(crate) max_value: T,
} }
impl<T: Copy + PartialOrd + Send + Sync + Debug + 'static> ColumnValues<T> for VecColumn<T> { impl<'a, T: Copy + PartialOrd + Send + Sync + Debug> ColumnValues<T> for VecColumn<'a, T> {
fn get_val(&self, position: u32) -> T { fn get_val(&self, position: u32) -> T {
self.values[position as usize] self.values[position as usize]
} }
@@ -37,8 +37,11 @@ impl<T: Copy + PartialOrd + Send + Sync + Debug + 'static> ColumnValues<T> for V
} }
} }
impl<T: Copy + PartialOrd + Default> From<Vec<T>> for VecColumn<T> { impl<'a, T: Copy + PartialOrd + Default, V> From<&'a V> for VecColumn<'a, T>
fn from(values: Vec<T>) -> Self { where V: AsRef<[T]> + ?Sized
{
fn from(values: &'a V) -> Self {
let values = values.as_ref();
let (min_value, max_value) = minmax(values.iter().copied()).unwrap_or_default(); let (min_value, max_value) = minmax(values.iter().copied()).unwrap_or_default();
Self { Self {
values, values,
@@ -47,8 +50,3 @@ impl<T: Copy + PartialOrd + Default> From<Vec<T>> for VecColumn<T> {
} }
} }
} }
impl From<VecColumn> for Vec<u64> {
fn from(column: VecColumn) -> Self {
column.values
}
}

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

@@ -58,7 +58,7 @@ impl ColumnType {
self == &ColumnType::DateTime self == &ColumnType::DateTime
} }
pub(crate) fn try_from_code(code: u8) -> Result<ColumnType, InvalidData> { pub fn try_from_code(code: u8) -> Result<ColumnType, InvalidData> {
COLUMN_TYPES.get(code as usize).copied().ok_or(InvalidData) COLUMN_TYPES.get(code as usize).copied().ok_or(InvalidData)
} }
} }

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

@@ -3,7 +3,7 @@ mod merge_mapping;
mod term_merger; mod term_merger;
use std::collections::{BTreeMap, HashSet}; use std::collections::{BTreeMap, HashSet};
use std::io::{self}; use std::io;
use std::net::Ipv6Addr; use std::net::Ipv6Addr;
use std::sync::Arc; use std::sync::Arc;
@@ -156,15 +156,8 @@ fn merge_column(
column_values.push(None); column_values.push(None);
} }
} }
let num_values: u32 = column_values let merged_column_index =
.iter() crate::column_index::merge_column_index(&column_indexes[..], merge_row_order);
.map(|vals| vals.as_ref().map(|idx| idx.num_vals()).unwrap_or(0))
.sum();
let merged_column_index = crate::column_index::merge_column_index(
&column_indexes[..],
merge_row_order,
num_values,
);
let merge_column_values = MergedColumnValues { let merge_column_values = MergedColumnValues {
column_indexes: &column_indexes[..], column_indexes: &column_indexes[..],
column_values: &column_values[..], column_values: &column_values[..],
@@ -190,15 +183,8 @@ fn merge_column(
} }
} }
let num_values: u32 = column_values let merged_column_index =
.iter() crate::column_index::merge_column_index(&column_indexes[..], merge_row_order);
.map(|vals| vals.as_ref().map(|idx| idx.num_vals()).unwrap_or(0))
.sum();
let merged_column_index = crate::column_index::merge_column_index(
&column_indexes[..],
merge_row_order,
num_values,
);
let merge_column_values = MergedColumnValues { let merge_column_values = MergedColumnValues {
column_indexes: &column_indexes[..], column_indexes: &column_indexes[..],
column_values: &column_values, column_values: &column_values,
@@ -228,19 +214,8 @@ fn merge_column(
} }
} }
} }
let num_values: u32 = bytes_columns let merged_column_index =
.iter() crate::column_index::merge_column_index(&column_indexes[..], merge_row_order);
.map(|vals| {
vals.as_ref()
.map(|idx| idx.term_ord_column.values.num_vals())
.unwrap_or(0)
})
.sum();
let merged_column_index = crate::column_index::merge_column_index(
&column_indexes[..],
merge_row_order,
num_values,
);
merge_bytes_or_str_column(merged_column_index, &bytes_columns, merge_row_order, wrt)?; merge_bytes_or_str_column(merged_column_index, &bytes_columns, merge_row_order, wrt)?;
} }
} }

4
columnar/src/columnar/merge/tests.rs
View File

@@ -1,3 +1,7 @@
use std::collections::BTreeMap;
use itertools::Itertools;
use super::*; use super::*;
use crate::{Cardinality, ColumnarWriter, HasAssociatedColumnType, RowId}; use crate::{Cardinality, ColumnarWriter, HasAssociatedColumnType, RowId};

128
columnar/src/columnar/writer/mod.rs
View File

@@ -13,7 +13,9 @@ pub(crate) use serializer::ColumnarSerializer;
use stacker::{Addr, ArenaHashMap, MemoryArena}; use stacker::{Addr, ArenaHashMap, MemoryArena};
use crate::column_index::SerializableColumnIndex; use crate::column_index::SerializableColumnIndex;
use crate::column_values::{MonotonicallyMappableToU128, MonotonicallyMappableToU64}; use crate::column_values::{
ColumnValues, MonotonicallyMappableToU128, MonotonicallyMappableToU64, VecColumn,
};
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,
@@ -59,6 +61,22 @@ pub struct ColumnarWriter {
buffers: SpareBuffers, buffers: SpareBuffers,
} }
#[inline]
fn mutate_or_create_column<V, TMutator>(
arena_hash_map: &mut ArenaHashMap,
column_name: &str,
updater: TMutator,
) where
V: Copy + 'static,
TMutator: FnMut(Option<V>) -> V,
{
assert!(
!column_name.as_bytes().contains(&0u8),
"key may not contain the 0 byte"
);
arena_hash_map.mutate_or_create(column_name.as_bytes(), updater);
}
impl ColumnarWriter { impl ColumnarWriter {
pub fn mem_usage(&self) -> usize { pub fn mem_usage(&self) -> usize {
self.arena.mem_usage() self.arena.mem_usage()
@@ -159,8 +177,9 @@ impl ColumnarWriter {
}, },
&mut self.dictionaries, &mut self.dictionaries,
); );
hash_map.mutate_or_create( mutate_or_create_column(
column_name.as_bytes(), hash_map,
column_name,
|column_opt: Option<StrOrBytesColumnWriter>| { |column_opt: Option<StrOrBytesColumnWriter>| {
let mut column_writer = if let Some(column_writer) = column_opt { let mut column_writer = if let Some(column_writer) = column_opt {
column_writer column_writer
@@ -175,21 +194,24 @@ impl ColumnarWriter {
); );
} }
ColumnType::Bool => { ColumnType::Bool => {
self.bool_field_hash_map.mutate_or_create( mutate_or_create_column(
column_name.as_bytes(), &mut self.bool_field_hash_map,
column_name,
|column_opt: Option<ColumnWriter>| column_opt.unwrap_or_default(), |column_opt: Option<ColumnWriter>| column_opt.unwrap_or_default(),
); );
} }
ColumnType::DateTime => { ColumnType::DateTime => {
self.datetime_field_hash_map.mutate_or_create( mutate_or_create_column(
column_name.as_bytes(), &mut self.datetime_field_hash_map,
column_name,
|column_opt: Option<ColumnWriter>| column_opt.unwrap_or_default(), |column_opt: Option<ColumnWriter>| column_opt.unwrap_or_default(),
); );
} }
ColumnType::I64 | ColumnType::F64 | ColumnType::U64 => { ColumnType::I64 | ColumnType::F64 | ColumnType::U64 => {
let numerical_type = column_type.numerical_type().unwrap(); let numerical_type = column_type.numerical_type().unwrap();
self.numerical_field_hash_map.mutate_or_create( mutate_or_create_column(
column_name.as_bytes(), &mut self.numerical_field_hash_map,
column_name,
|column_opt: Option<NumericalColumnWriter>| { |column_opt: Option<NumericalColumnWriter>| {
let mut column: NumericalColumnWriter = column_opt.unwrap_or_default(); let mut column: NumericalColumnWriter = column_opt.unwrap_or_default();
column.force_numerical_type(numerical_type); column.force_numerical_type(numerical_type);
@@ -197,8 +219,9 @@ impl ColumnarWriter {
}, },
); );
} }
ColumnType::IpAddr => self.ip_addr_field_hash_map.mutate_or_create( ColumnType::IpAddr => mutate_or_create_column(
column_name.as_bytes(), &mut self.ip_addr_field_hash_map,
column_name,
|column_opt: Option<ColumnWriter>| column_opt.unwrap_or_default(), |column_opt: Option<ColumnWriter>| column_opt.unwrap_or_default(),
), ),
} }
@@ -211,8 +234,9 @@ impl ColumnarWriter {
numerical_value: T, numerical_value: T,
) { ) {
let (hash_map, arena) = (&mut self.numerical_field_hash_map, &mut self.arena); let (hash_map, arena) = (&mut self.numerical_field_hash_map, &mut self.arena);
hash_map.mutate_or_create( mutate_or_create_column(
column_name.as_bytes(), hash_map,
column_name,
|column_opt: Option<NumericalColumnWriter>| { |column_opt: Option<NumericalColumnWriter>| {
let mut column: NumericalColumnWriter = column_opt.unwrap_or_default(); let mut column: NumericalColumnWriter = column_opt.unwrap_or_default();
column.record_numerical_value(doc, numerical_value.into(), arena); column.record_numerical_value(doc, numerical_value.into(), arena);
@@ -222,6 +246,10 @@ impl ColumnarWriter {
} }
pub fn record_ip_addr(&mut self, doc: RowId, column_name: &str, ip_addr: Ipv6Addr) { pub fn record_ip_addr(&mut self, doc: RowId, column_name: &str, ip_addr: Ipv6Addr) {
assert!(
!column_name.as_bytes().contains(&0u8),
"key may not contain the 0 byte"
);
let (hash_map, arena) = (&mut self.ip_addr_field_hash_map, &mut self.arena); let (hash_map, arena) = (&mut self.ip_addr_field_hash_map, &mut self.arena);
hash_map.mutate_or_create( hash_map.mutate_or_create(
column_name.as_bytes(), column_name.as_bytes(),
@@ -235,30 +263,24 @@ impl ColumnarWriter {
pub fn record_bool(&mut self, doc: RowId, column_name: &str, val: bool) { pub fn record_bool(&mut self, doc: RowId, column_name: &str, val: bool) {
let (hash_map, arena) = (&mut self.bool_field_hash_map, &mut self.arena); let (hash_map, arena) = (&mut self.bool_field_hash_map, &mut self.arena);
hash_map.mutate_or_create( mutate_or_create_column(hash_map, column_name, |column_opt: Option<ColumnWriter>| {
column_name.as_bytes(), let mut column: ColumnWriter = column_opt.unwrap_or_default();
|column_opt: Option<ColumnWriter>| { column.record(doc, val, arena);
let mut column: ColumnWriter = column_opt.unwrap_or_default(); column
column.record(doc, val, arena); });
column
},
);
} }
pub fn record_datetime(&mut self, doc: RowId, column_name: &str, datetime: common::DateTime) { pub fn record_datetime(&mut self, doc: RowId, column_name: &str, datetime: common::DateTime) {
let (hash_map, arena) = (&mut self.datetime_field_hash_map, &mut self.arena); let (hash_map, arena) = (&mut self.datetime_field_hash_map, &mut self.arena);
hash_map.mutate_or_create( mutate_or_create_column(hash_map, column_name, |column_opt: Option<ColumnWriter>| {
column_name.as_bytes(), let mut column: ColumnWriter = column_opt.unwrap_or_default();
|column_opt: Option<ColumnWriter>| { column.record(
let mut column: ColumnWriter = column_opt.unwrap_or_default(); doc,
column.record( NumericalValue::I64(datetime.into_timestamp_nanos()),
doc, arena,
NumericalValue::I64(datetime.into_timestamp_nanos()), );
arena, column
); });
column
},
);
} }
pub fn record_str(&mut self, doc: RowId, column_name: &str, value: &str) { pub fn record_str(&mut self, doc: RowId, column_name: &str, value: &str) {
@@ -283,6 +305,10 @@ impl ColumnarWriter {
} }
pub fn record_bytes(&mut self, doc: RowId, column_name: &str, value: &[u8]) { pub fn record_bytes(&mut self, doc: RowId, column_name: &str, value: &[u8]) {
assert!(
!column_name.as_bytes().contains(&0u8),
"key may not contain the 0 byte"
);
let (hash_map, arena, dictionaries) = ( let (hash_map, arena, dictionaries) = (
&mut self.bytes_field_hash_map, &mut self.bytes_field_hash_map,
&mut self.arena, &mut self.arena,
@@ -307,7 +333,7 @@ impl ColumnarWriter {
num_docs: RowId, num_docs: RowId,
old_to_new_row_ids: Option<&[RowId]>, old_to_new_row_ids: Option<&[RowId]>,
wrt: &mut dyn io::Write, wrt: &mut dyn io::Write,
) -> io::Result<()> { ) -> io::Result<Vec<(String, ColumnType)>> {
let mut serializer = ColumnarSerializer::new(wrt); let mut serializer = ColumnarSerializer::new(wrt);
let mut columns: Vec<(&[u8], ColumnType, Addr)> = self let mut columns: Vec<(&[u8], ColumnType, Addr)> = self
.numerical_field_hash_map .numerical_field_hash_map
@@ -348,7 +374,9 @@ impl ColumnarWriter {
let (arena, buffers, dictionaries) = (&self.arena, &mut self.buffers, &self.dictionaries); let (arena, buffers, dictionaries) = (&self.arena, &mut self.buffers, &self.dictionaries);
let mut symbol_byte_buffer: Vec<u8> = Vec::new(); let mut symbol_byte_buffer: Vec<u8> = Vec::new();
for (column_name, column_type, addr) in columns { for (column_name, column_type, addr) in columns.iter() {
let column_type = *column_type;
let addr = *addr;
match column_type { match column_type {
ColumnType::Bool => { ColumnType::Bool => {
let column_writer: ColumnWriter = self.bool_field_hash_map.read(addr); let column_writer: ColumnWriter = self.bool_field_hash_map.read(addr);
@@ -459,7 +487,15 @@ impl ColumnarWriter {
}; };
} }
serializer.finalize(num_docs)?; serializer.finalize(num_docs)?;
Ok(()) Ok(columns
.into_iter()
.map(|(column_name, column_type, _)| {
(
String::from_utf8_lossy(column_name).to_string(),
column_type,
)
})
.collect())
} }
} }
@@ -619,7 +655,10 @@ fn send_to_serialize_column_mappable_to_u128<
value_index_builders: &mut PreallocatedIndexBuilders, value_index_builders: &mut PreallocatedIndexBuilders,
values: &mut Vec<T>, values: &mut Vec<T>,
mut wrt: impl io::Write, mut wrt: impl io::Write,
) -> io::Result<()> { ) -> io::Result<()>
where
for<'a> VecColumn<'a, T>: ColumnValues<T>,
{
values.clear(); values.clear();
// TODO: split index and values // TODO: split index and values
let serializable_column_index = match cardinality { let serializable_column_index = match cardinality {
@@ -644,10 +683,7 @@ fn send_to_serialize_column_mappable_to_u128<
let multivalued_index_builder = value_index_builders.borrow_multivalued_index_builder(); let multivalued_index_builder = value_index_builders.borrow_multivalued_index_builder();
consume_operation_iterator(op_iterator, multivalued_index_builder, values); consume_operation_iterator(op_iterator, multivalued_index_builder, values);
let multivalued_index = multivalued_index_builder.finish(num_rows); let multivalued_index = multivalued_index_builder.finish(num_rows);
SerializableColumnIndex::Multivalued { SerializableColumnIndex::Multivalued(Box::new(multivalued_index))
indices: Box::new(multivalued_index),
stats: Default::default(), // TODO: implement stats for u128
}
} }
}; };
crate::column::serialize_column_mappable_to_u128( crate::column::serialize_column_mappable_to_u128(
@@ -675,7 +711,10 @@ fn send_to_serialize_column_mappable_to_u64(
value_index_builders: &mut PreallocatedIndexBuilders, value_index_builders: &mut PreallocatedIndexBuilders,
values: &mut Vec<u64>, values: &mut Vec<u64>,
mut wrt: impl io::Write, mut wrt: impl io::Write,
) -> io::Result<()> { ) -> io::Result<()>
where
for<'a> VecColumn<'a, u64>: ColumnValues<u64>,
{
values.clear(); values.clear();
let serializable_column_index = match cardinality { let serializable_column_index = match cardinality {
Cardinality::Full => { Cardinality::Full => {
@@ -702,10 +741,7 @@ fn send_to_serialize_column_mappable_to_u64(
if sort_values_within_row { if sort_values_within_row {
sort_values_within_row_in_place(multivalued_index, values); sort_values_within_row_in_place(multivalued_index, values);
} }
SerializableColumnIndex::Multivalued { SerializableColumnIndex::Multivalued(Box::new(multivalued_index))
indices: Box::new(multivalued_index),
stats: None,
}
} }
}; };
crate::column::serialize_column_mappable_to_u64( crate::column::serialize_column_mappable_to_u64(

10
columnar/src/columnar/writer/serializer.rs
View File

@@ -18,12 +18,7 @@ pub struct ColumnarSerializer<W: io::Write> {
/// code. /// code.
fn prepare_key(key: &[u8], column_type: ColumnType, buffer: &mut Vec<u8>) { fn prepare_key(key: &[u8], column_type: ColumnType, buffer: &mut Vec<u8>) {
buffer.clear(); buffer.clear();
// Convert 0 bytes to '0' string, as 0 bytes are reserved for the end of the path. buffer.extend_from_slice(key);
if key.contains(&0u8) {
buffer.extend(key.iter().map(|&b| if b == 0 { b'0' } else { b }));
} else {
buffer.extend_from_slice(key);
}
buffer.push(0u8); buffer.push(0u8);
buffer.push(column_type.to_code()); buffer.push(column_type.to_code());
} }
@@ -101,13 +96,14 @@ impl<'a, W: io::Write> io::Write for ColumnSerializer<'a, W> {
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use super::*; use super::*;
use crate::columnar::column_type::ColumnType;
#[test] #[test]
fn test_prepare_key_bytes() { fn test_prepare_key_bytes() {
let mut buffer: Vec<u8> = b"somegarbage".to_vec(); let mut buffer: Vec<u8> = b"somegarbage".to_vec();
prepare_key(b"root\0child", ColumnType::Str, &mut buffer); prepare_key(b"root\0child", ColumnType::Str, &mut buffer);
assert_eq!(buffer.len(), 12); assert_eq!(buffer.len(), 12);
assert_eq!(&buffer[..10], b"root0child"); assert_eq!(&buffer[..10], b"root\0child");
assert_eq!(buffer[10], 0u8); assert_eq!(buffer[10], 0u8);
assert_eq!(buffer[11], ColumnType::Str.to_code()); assert_eq!(buffer[11], ColumnType::Str.to_code());
} }

14
columnar/src/dynamic_column.rs
View File

@@ -8,7 +8,7 @@ use common::{ByteCount, DateTime, HasLen, OwnedBytes};
use crate::column::{BytesColumn, Column, StrColumn}; use crate::column::{BytesColumn, Column, StrColumn};
use crate::column_values::{monotonic_map_column, StrictlyMonotonicFn}; use crate::column_values::{monotonic_map_column, StrictlyMonotonicFn};
use crate::columnar::ColumnType; use crate::columnar::ColumnType;
use crate::{Cardinality, ColumnIndex, ColumnValues, NumericalType}; use crate::{Cardinality, ColumnIndex, NumericalType};
#[derive(Clone)] #[derive(Clone)]
pub enum DynamicColumn { pub enum DynamicColumn {
@@ -247,12 +247,7 @@ impl DynamicColumnHandle {
} }
/// Returns the `u64` fast field reader reader associated with `fields` of types /// Returns the `u64` fast field reader reader associated with `fields` of types
/// Str, u64, i64, f64, bool, ip, or datetime. /// Str, u64, i64, f64, bool, or datetime.
///
/// Notice that for IpAddr, the fastfield reader will return the u64 representation of the
/// IpAddr.
/// In order to convert to u128 back cast to `CompactSpaceU64Accessor` and call
/// `compact_to_u128`.
/// ///
/// If not, the fastfield reader will returns the u64-value associated with the original /// If not, the fastfield reader will returns the u64-value associated with the original
/// FastValue. /// FastValue.
@@ -263,10 +258,7 @@ impl DynamicColumnHandle {
let column: BytesColumn = crate::column::open_column_bytes(column_bytes)?; let column: BytesColumn = crate::column::open_column_bytes(column_bytes)?;
Ok(Some(column.term_ord_column)) Ok(Some(column.term_ord_column))
} }
ColumnType::IpAddr => { ColumnType::IpAddr => Ok(None),
let column = crate::column::open_column_u128_as_compact_u64(column_bytes)?;
Ok(Some(column))
}
ColumnType::Bool ColumnType::Bool
| ColumnType::I64 | ColumnType::I64
| ColumnType::U64 | ColumnType::U64

3
columnar/src/lib.rs
View File

@@ -113,9 +113,6 @@ impl Cardinality {
pub fn is_multivalue(&self) -> bool { pub fn is_multivalue(&self) -> bool {
matches!(self, Cardinality::Multivalued) matches!(self, Cardinality::Multivalued)
} }
pub fn is_full(&self) -> bool {
matches!(self, Cardinality::Full)
}
pub(crate) fn to_code(self) -> u8 { pub(crate) fn to_code(self) -> u8 {
self as u8 self as u8
} }

59
columnar/src/tests.rs
View File

@@ -738,22 +738,35 @@ proptest! {
#![proptest_config(ProptestConfig::with_cases(1000))] #![proptest_config(ProptestConfig::with_cases(1000))]
#[test] #[test]
fn test_columnar_merge_proptest(columnar_docs in proptest::collection::vec(columnar_docs_strategy(), 2..=3)) { fn test_columnar_merge_proptest(columnar_docs in proptest::collection::vec(columnar_docs_strategy(), 2..=3)) {
test_columnar_docs(columnar_docs); let columnar_readers: Vec<ColumnarReader> = columnar_docs.iter()
.map(|docs| build_columnar(&docs[..]))
.collect::<Vec<_>>();
let columnar_readers_arr: Vec<&ColumnarReader> = columnar_readers.iter().collect();
let mut output: Vec<u8> = Vec::new();
let stack_merge_order = StackMergeOrder::stack(&columnar_readers_arr[..]).into();
crate::merge_columnar(&columnar_readers_arr[..], &[], stack_merge_order, &mut output).unwrap();
let merged_columnar = ColumnarReader::open(output).unwrap();
let concat_rows: Vec<Vec<(&'static str, ColumnValue)>> = columnar_docs.iter().flatten().cloned().collect();
let expected_merged_columnar = build_columnar(&concat_rows[..]);
assert_columnar_eq_strict(&merged_columnar, &expected_merged_columnar);
} }
} }
fn test_columnar_docs(columnar_docs: Vec<Vec<Vec<(&'static str, ColumnValue)>>>) { #[test]
fn test_columnar_merging_empty_columnar() {
let columnar_docs: Vec<Vec<Vec<(&str, ColumnValue)>>> =
vec![vec![], vec![vec![("c1", ColumnValue::Str("a"))]]];
let columnar_readers: Vec<ColumnarReader> = columnar_docs let columnar_readers: Vec<ColumnarReader> = columnar_docs
.iter() .iter()
.map(|docs| build_columnar(&docs[..])) .map(|docs| build_columnar(&docs[..]))
.collect::<Vec<_>>(); .collect::<Vec<_>>();
let columnar_readers_arr: Vec<&ColumnarReader> = columnar_readers.iter().collect(); let columnar_readers_arr: Vec<&ColumnarReader> = columnar_readers.iter().collect();
let mut output: Vec<u8> = Vec::new(); let mut output: Vec<u8> = Vec::new();
let stack_merge_order = StackMergeOrder::stack(&columnar_readers_arr[..]).into(); let stack_merge_order = StackMergeOrder::stack(&columnar_readers_arr[..]);
crate::merge_columnar( crate::merge_columnar(
&columnar_readers_arr[..], &columnar_readers_arr[..],
&[], &[],
stack_merge_order, crate::MergeRowOrder::Stack(stack_merge_order),
&mut output, &mut output,
) )
.unwrap(); .unwrap();
@@ -764,24 +777,6 @@ fn test_columnar_docs(columnar_docs: Vec<Vec<Vec<(&'static str, ColumnValue)>>>)
assert_columnar_eq_strict(&merged_columnar, &expected_merged_columnar); assert_columnar_eq_strict(&merged_columnar, &expected_merged_columnar);
} }
#[test]
fn test_columnar_merging_empty_columnar() {
let columnar_docs: Vec<Vec<Vec<(&str, ColumnValue)>>> =
vec![vec![], vec![vec![("c1", ColumnValue::Str("a"))]]];
test_columnar_docs(columnar_docs);
}
#[test]
fn test_columnar_merging_simple() {
let columnar_docs: Vec<Vec<Vec<(&str, ColumnValue)>>> = vec![
vec![],
vec![vec![
("c1", ColumnValue::Numerical(0u64.into())),
("c1", ColumnValue::Numerical(0u64.into())),
]],
];
test_columnar_docs(columnar_docs);
}
#[test] #[test]
fn test_columnar_merging_number_columns() { fn test_columnar_merging_number_columns() {
let columnar_docs: Vec<Vec<Vec<(&str, ColumnValue)>>> = vec![ let columnar_docs: Vec<Vec<Vec<(&str, ColumnValue)>>> = vec![
@@ -798,7 +793,25 @@ fn test_columnar_merging_number_columns() {
vec![("c2", ColumnValue::Numerical(u64::MAX.into()))], vec![("c2", ColumnValue::Numerical(u64::MAX.into()))],
], ],
]; ];
test_columnar_docs(columnar_docs); let columnar_readers: Vec<ColumnarReader> = columnar_docs
.iter()
.map(|docs| build_columnar(&docs[..]))
.collect::<Vec<_>>();
let columnar_readers_arr: Vec<&ColumnarReader> = columnar_readers.iter().collect();
let mut output: Vec<u8> = Vec::new();
let stack_merge_order = StackMergeOrder::stack(&columnar_readers_arr[..]);
crate::merge_columnar(
&columnar_readers_arr[..],
&[],
crate::MergeRowOrder::Stack(stack_merge_order),
&mut output,
)
.unwrap();
let merged_columnar = ColumnarReader::open(output).unwrap();
let concat_rows: Vec<Vec<(&'static str, ColumnValue)>> =
columnar_docs.iter().flatten().cloned().collect();
let expected_merged_columnar = build_columnar(&concat_rows[..]);
assert_columnar_eq_strict(&merged_columnar, &expected_merged_columnar);
} }
// TODO add non trivial remap and merge // TODO add non trivial remap and merge

7
common/Cargo.toml
View File

@@ -1,6 +1,6 @@
[package] [package]
name = "tantivy-common" name = "tantivy-common"
version = "0.7.0" version = "0.6.0"
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 = "2021" edition = "2021"
@@ -14,7 +14,7 @@ repository = "https://github.com/quickwit-oss/tantivy"
[dependencies] [dependencies]
byteorder = "1.4.3" byteorder = "1.4.3"
ownedbytes = { version= "0.7", path="../ownedbytes" } ownedbytes = { version= "0.6", path="../ownedbytes" }
async-trait = "0.1" async-trait = "0.1"
time = { version = "0.3.10", features = ["serde-well-known"] } time = { version = "0.3.10", features = ["serde-well-known"] }
serde = { version = "1.0.136", features = ["derive"] } serde = { version = "1.0.136", features = ["derive"] }
@@ -22,6 +22,3 @@ serde = { version = "1.0.136", features = ["derive"] }
[dev-dependencies] [dev-dependencies]
proptest = "1.0.0" proptest = "1.0.0"
rand = "0.8.4" rand = "0.8.4"
[features]
unstable = [] # useful for benches.

5
common/src/bitset.rs
View File

@@ -1,11 +1,12 @@
use std::convert::TryInto;
use std::io::Write; use std::io::Write;
use std::{fmt, io}; use std::{fmt, io, u64};
use ownedbytes::OwnedBytes; use ownedbytes::OwnedBytes;
use crate::ByteCount; use crate::ByteCount;
#[derive(Clone, Copy, Eq, PartialEq)] #[derive(Clone, Copy, Eq, PartialEq, Hash)]
pub struct TinySet(u64); pub struct TinySet(u64);
impl fmt::Debug for TinySet { impl fmt::Debug for TinySet {

7
common/src/datetime.rs
View File

@@ -1,3 +1,5 @@
#![allow(deprecated)]
use std::fmt; use std::fmt;
use std::io::{Read, Write}; use std::io::{Read, Write};
@@ -25,6 +27,9 @@ pub enum DateTimePrecision {
Nanoseconds, Nanoseconds,
} }
#[deprecated(since = "0.20.0", note = "Use `DateTimePrecision` instead")]
pub type DatePrecision = DateTimePrecision;
/// A date/time value with nanoseconds precision. /// A date/time value with nanoseconds precision.
/// ///
/// This timestamp does not carry any explicit time zone information. /// This timestamp does not carry any explicit time zone information.
@@ -35,7 +40,7 @@ pub enum DateTimePrecision {
/// All constructors and conversions are provided as explicit /// All constructors and conversions are provided as explicit
/// functions and not by implementing any `From`/`Into` traits /// functions and not by implementing any `From`/`Into` traits
/// to prevent unintended usage. /// to prevent unintended usage.
#[derive(Clone, Default, Copy, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)] #[derive(Clone, Default, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
pub struct DateTime { pub struct DateTime {
// Timestamp in nanoseconds. // Timestamp in nanoseconds.
pub(crate) timestamp_nanos: i64, pub(crate) timestamp_nanos: i64,

36
common/src/json_path_writer.rs
View File

@@ -5,12 +5,6 @@ pub const JSON_PATH_SEGMENT_SEP: u8 = 1u8;
pub const JSON_PATH_SEGMENT_SEP_STR: &str = pub const JSON_PATH_SEGMENT_SEP_STR: &str =
unsafe { std::str::from_utf8_unchecked(&[JSON_PATH_SEGMENT_SEP]) }; unsafe { std::str::from_utf8_unchecked(&[JSON_PATH_SEGMENT_SEP]) };
/// Separates the json path and the value in
/// a JSON term binary representation.
pub const JSON_END_OF_PATH: u8 = 0u8;
pub const JSON_END_OF_PATH_STR: &str =
unsafe { std::str::from_utf8_unchecked(&[JSON_END_OF_PATH]) };
/// Create a new JsonPathWriter, that creates flattened json paths for tantivy. /// Create a new JsonPathWriter, that creates flattened json paths for tantivy.
#[derive(Clone, Debug, Default)] #[derive(Clone, Debug, Default)]
pub struct JsonPathWriter { pub struct JsonPathWriter {
@@ -20,14 +14,6 @@ pub struct JsonPathWriter {
} }
impl JsonPathWriter { impl JsonPathWriter {
pub fn with_expand_dots(expand_dots: bool) -> Self {
JsonPathWriter {
path: String::new(),
indices: Vec::new(),
expand_dots,
}
}
pub fn new() -> Self { pub fn new() -> Self {
JsonPathWriter { JsonPathWriter {
path: String::new(), path: String::new(),
@@ -53,8 +39,8 @@ impl JsonPathWriter {
pub fn push(&mut self, segment: &str) { pub fn push(&mut self, segment: &str) {
let len_path = self.path.len(); let len_path = self.path.len();
self.indices.push(len_path); self.indices.push(len_path);
if self.indices.len() > 1 { if !self.path.is_empty() {
self.path.push(JSON_PATH_SEGMENT_SEP as char); self.path.push_str(JSON_PATH_SEGMENT_SEP_STR);
} }
self.path.push_str(segment); self.path.push_str(segment);
if self.expand_dots { if self.expand_dots {
@@ -69,12 +55,6 @@ impl JsonPathWriter {
} }
} }
/// Set the end of JSON path marker.
#[inline]
pub fn set_end(&mut self) {
self.path.push_str(JSON_END_OF_PATH_STR);
}
/// Remove the last segment. Does nothing if the path is empty. /// Remove the last segment. Does nothing if the path is empty.
#[inline] #[inline]
pub fn pop(&mut self) { pub fn pop(&mut self) {
@@ -111,7 +91,6 @@ mod tests {
#[test] #[test]
fn json_path_writer_test() { fn json_path_writer_test() {
let mut writer = JsonPathWriter::new(); let mut writer = JsonPathWriter::new();
writer.set_expand_dots(false);
writer.push("root"); writer.push("root");
assert_eq!(writer.as_str(), "root"); assert_eq!(writer.as_str(), "root");
@@ -130,15 +109,4 @@ mod tests {
writer.push("k8s.node.id"); writer.push("k8s.node.id");
assert_eq!(writer.as_str(), "root\u{1}k8s\u{1}node\u{1}id"); assert_eq!(writer.as_str(), "root\u{1}k8s\u{1}node\u{1}id");
} }
#[test]
fn test_json_path_expand_dots_enabled_pop_segment() {
let mut json_writer = JsonPathWriter::with_expand_dots(true);
json_writer.push("hello");
assert_eq!(json_writer.as_str(), "hello");
json_writer.push("color.hue");
assert_eq!(json_writer.as_str(), "hello\x01color\x01hue");
json_writer.pop();
assert_eq!(json_writer.as_str(), "hello");
}
} }

4
common/src/lib.rs
View File

@@ -9,12 +9,14 @@ mod byte_count;
mod datetime; mod datetime;
pub mod file_slice; pub mod file_slice;
mod group_by; mod group_by;
pub mod json_path_writer; mod json_path_writer;
mod serialize; mod serialize;
mod vint; mod vint;
mod writer; mod writer;
pub use bitset::*; pub use bitset::*;
pub use byte_count::ByteCount; pub use byte_count::ByteCount;
#[allow(deprecated)]
pub use datetime::DatePrecision;
pub use datetime::{DateTime, DateTimePrecision}; pub use datetime::{DateTime, DateTimePrecision};
pub use group_by::GroupByIteratorExtended; pub use group_by::GroupByIteratorExtended;
pub use json_path_writer::JsonPathWriter; pub use json_path_writer::JsonPathWriter;

3
common/src/serialize.rs
View File

@@ -290,7 +290,8 @@ impl<'a> BinarySerializable for Cow<'a, [u8]> {
#[cfg(test)] #[cfg(test)]
pub mod test { pub mod test {
use super::*; use super::{VInt, *};
use crate::serialize::BinarySerializable;
pub fn fixed_size_test<O: BinarySerializable + FixedSize + Default>() { pub fn fixed_size_test<O: BinarySerializable + FixedSize + Default>() {
let mut buffer = Vec::new(); let mut buffer = Vec::new();
O::default().serialize(&mut buffer).unwrap(); O::default().serialize(&mut buffer).unwrap();

2
common/src/vint.rs
View File

@@ -151,7 +151,7 @@ pub fn read_u32_vint_no_advance(data: &[u8]) -> (u32, usize) {
(result, vlen) (result, vlen)
} }
/// Write a `u32` as a vint payload. /// Write a `u32` as a vint payload.
pub fn write_u32_vint<W: io::Write + ?Sized>(val: u32, writer: &mut W) -> io::Result<()> { pub fn write_u32_vint<W: io::Write>(val: u32, writer: &mut W) -> io::Result<()> {
let mut buf = [0u8; 8]; let mut buf = [0u8; 8];
let data = serialize_vint_u32(val, &mut buf); let data = serialize_vint_u32(val, &mut buf);
writer.write_all(data) writer.write_all(data)

3
examples/custom_collector.rs
View File

@@ -11,10 +11,9 @@ use columnar::Column;
// --- // ---
// Importing tantivy... // Importing tantivy...
use tantivy::collector::{Collector, SegmentCollector}; use tantivy::collector::{Collector, SegmentCollector};
use tantivy::index::SegmentReader;
use tantivy::query::QueryParser; use tantivy::query::QueryParser;
use tantivy::schema::{Schema, FAST, INDEXED, TEXT}; use tantivy::schema::{Schema, FAST, INDEXED, TEXT};
use tantivy::{doc, Index, IndexWriter, Score}; use tantivy::{doc, Index, IndexWriter, Score, SegmentReader};
#[derive(Default)] #[derive(Default)]
struct Stats { struct Stats {

14
examples/date_time_field.rs
View File

@@ -4,7 +4,7 @@
use tantivy::collector::TopDocs; use tantivy::collector::TopDocs;
use tantivy::query::QueryParser; use tantivy::query::QueryParser;
use tantivy::schema::{DateOptions, Document, Schema, Value, INDEXED, STORED, STRING}; use tantivy::schema::{DateOptions, Document, OwnedValue, Schema, INDEXED, STORED, STRING};
use tantivy::{Index, IndexWriter, TantivyDocument}; use tantivy::{Index, IndexWriter, TantivyDocument};
fn main() -> tantivy::Result<()> { fn main() -> tantivy::Result<()> {
@@ -13,7 +13,7 @@ fn main() -> tantivy::Result<()> {
let opts = DateOptions::from(INDEXED) let opts = DateOptions::from(INDEXED)
.set_stored() .set_stored()
.set_fast() .set_fast()
.set_precision(tantivy::schema::DateTimePrecision::Seconds); .set_precision(tantivy::DateTimePrecision::Seconds);
// Add `occurred_at` date field type // Add `occurred_at` date field type
let occurred_at = schema_builder.add_date_field("occurred_at", opts); let occurred_at = schema_builder.add_date_field("occurred_at", opts);
let event_type = schema_builder.add_text_field("event", STRING | STORED); let event_type = schema_builder.add_text_field("event", STRING | STORED);
@@ -61,12 +61,10 @@ fn main() -> tantivy::Result<()> {
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)?;
assert!(retrieved_doc assert!(matches!(
.get_first(occurred_at) retrieved_doc.get_first(occurred_at),
.unwrap() Some(OwnedValue::Date(_))
.as_value() ));
.as_datetime()
.is_some(),);
assert_eq!( assert_eq!(
retrieved_doc.to_json(&schema), retrieved_doc.to_json(&schema),
r#"{"event":["comment"],"occurred_at":["2022-06-22T13:00:00.22Z"]}"# r#"{"event":["comment"],"occurred_at":["2022-06-22T13:00:00.22Z"]}"#

5
examples/faceted_search_with_tweaked_score.rs
View File

@@ -51,7 +51,7 @@ fn main() -> tantivy::Result<()> {
let reader = index.reader()?; let reader = index.reader()?;
let searcher = reader.searcher(); let searcher = reader.searcher();
{ {
let facets = [ let facets = vec![
Facet::from("/ingredient/egg"), Facet::from("/ingredient/egg"),
Facet::from("/ingredient/oil"), Facet::from("/ingredient/oil"),
Facet::from("/ingredient/garlic"), Facet::from("/ingredient/garlic"),
@@ -94,8 +94,9 @@ fn main() -> tantivy::Result<()> {
.doc::<TantivyDocument>(*doc_id) .doc::<TantivyDocument>(*doc_id)
.unwrap() .unwrap()
.get_first(title) .get_first(title)
.and_then(|v| v.as_str().map(|el| el.to_string())) .and_then(|v| v.as_str())
.unwrap() .unwrap()
.to_owned()
}) })
.collect(); .collect();
assert_eq!(titles, vec!["Fried egg", "Egg rolls"]); assert_eq!(titles, vec!["Fried egg", "Egg rolls"]);

4
examples/index_from_multiple_threads.rs
View File

@@ -61,7 +61,7 @@ fn main() -> tantivy::Result<()> {
debris of the winter’s flooding; and sycamores with mottled, white, recumbent \ debris of the winter’s flooding; and sycamores with mottled, white, recumbent \
limbs and branches that arch over the pool" limbs and branches that arch over the pool"
))?; ))?;
println!("add doc {i} from thread 1 - opstamp {opstamp}"); println!("add doc {} from thread 1 - opstamp {}", i, opstamp);
thread::sleep(Duration::from_millis(20)); thread::sleep(Duration::from_millis(20));
} }
Result::<(), TantivyError>::Ok(()) Result::<(), TantivyError>::Ok(())
@@ -82,7 +82,7 @@ fn main() -> tantivy::Result<()> {
body => "Some great book description..." body => "Some great book description..."
))? ))?
}; };
println!("add doc {i} from thread 2 - opstamp {opstamp}"); println!("add doc {} from thread 2 - opstamp {}", i, opstamp);
thread::sleep(Duration::from_millis(10)); thread::sleep(Duration::from_millis(10));
} }
Result::<(), TantivyError>::Ok(()) Result::<(), TantivyError>::Ok(())

3
examples/iterating_docs_and_positions.rs
View File

@@ -7,11 +7,10 @@
// the list of documents containing a term, getting // the list of documents containing a term, getting
// its term frequency, and accessing its positions. // its term frequency, and accessing its positions.
use tantivy::postings::Postings;
// --- // ---
// Importing tantivy... // Importing tantivy...
use tantivy::schema::*; use tantivy::schema::*;
use tantivy::{doc, DocSet, Index, IndexWriter, TERMINATED}; use tantivy::{doc, DocSet, Index, IndexWriter, Postings, TERMINATED};
fn main() -> tantivy::Result<()> { fn main() -> tantivy::Result<()> {
// We first create a schema for the sake of the // We first create a schema for the sake of the

3
examples/warmer.rs
View File

@@ -3,11 +3,10 @@ use std::collections::{HashMap, HashSet};
use std::sync::{Arc, RwLock, Weak}; use std::sync::{Arc, RwLock, Weak};
use tantivy::collector::TopDocs; use tantivy::collector::TopDocs;
use tantivy::index::SegmentId;
use tantivy::query::QueryParser; use tantivy::query::QueryParser;
use tantivy::schema::{Schema, FAST, TEXT}; use tantivy::schema::{Schema, FAST, TEXT};
use tantivy::{ use tantivy::{
doc, DocAddress, DocId, Index, IndexWriter, Opstamp, Searcher, SearcherGeneration, doc, DocAddress, DocId, Index, IndexWriter, Opstamp, Searcher, SearcherGeneration, SegmentId,
SegmentReader, Warmer, SegmentReader, Warmer,
}; };

2
ownedbytes/Cargo.toml
View File

@@ -1,7 +1,7 @@
[package] [package]
authors = ["Paul Masurel <paul@quickwit.io>", "Pascal Seitz <pascal@quickwit.io>"] authors = ["Paul Masurel <paul@quickwit.io>", "Pascal Seitz <pascal@quickwit.io>"]
name = "ownedbytes" name = "ownedbytes"
version = "0.7.0" version = "0.6.0"
edition = "2021" edition = "2021"
description = "Expose data as static slice" description = "Expose data as static slice"
license = "MIT" license = "MIT"

1
ownedbytes/src/lib.rs
View File

@@ -1,3 +1,4 @@
use std::convert::TryInto;
use std::ops::{Deref, Range}; use std::ops::{Deref, Range};
use std::sync::Arc; use std::sync::Arc;
use std::{fmt, io}; use std::{fmt, io};

2
query-grammar/Cargo.toml
View File

@@ -1,6 +1,6 @@
[package] [package]
name = "tantivy-query-grammar" name = "tantivy-query-grammar"
version = "0.22.0" version = "0.21.0"
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"]

6
query-grammar/src/infallible.rs
View File

@@ -81,8 +81,8 @@ where
T: InputTakeAtPosition + Clone, T: InputTakeAtPosition + Clone,
<T as InputTakeAtPosition>::Item: AsChar + Clone, <T as InputTakeAtPosition>::Item: AsChar + Clone,
{ {
opt_i(nom::character::complete::multispace0)(input) opt_i(nom::character::complete::space0)(input)
.map(|(left, (spaces, errors))| (left, (spaces.expect("multispace0 can't fail"), errors))) .map(|(left, (spaces, errors))| (left, (spaces.expect("space0 can't fail"), errors)))
} }
pub(crate) fn space1_infallible<T>(input: T) -> JResult<T, Option<T>> pub(crate) fn space1_infallible<T>(input: T) -> JResult<T, Option<T>>
@@ -90,7 +90,7 @@ where
T: InputTakeAtPosition + Clone + InputLength, T: InputTakeAtPosition + Clone + InputLength,
<T as InputTakeAtPosition>::Item: AsChar + Clone, <T as InputTakeAtPosition>::Item: AsChar + Clone,
{ {
opt_i(nom::character::complete::multispace1)(input).map(|(left, (spaces, mut errors))| { opt_i(nom::character::complete::space1)(input).map(|(left, (spaces, mut errors))| {
if spaces.is_none() { if spaces.is_none() {
errors.push(LenientErrorInternal { errors.push(LenientErrorInternal {
pos: left.input_len(), pos: left.input_len(),

435
query-grammar/src/query_grammar.rs
View File

@@ -1,14 +1,13 @@
use std::borrow::Cow;
use std::iter::once; use std::iter::once;
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::{
anychar, char, digit1, multispace0, multispace1, none_of, one_of, satisfy, u32, anychar, char, digit1, none_of, one_of, satisfy, space0, space1, u32,
}; };
use nom::combinator::{eof, map, map_res, opt, peek, recognize, value, verify}; 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, separated_list1};
use nom::sequence::{delimited, preceded, separated_pair, terminated, tuple}; use nom::sequence::{delimited, preceded, separated_pair, terminated, tuple};
use nom::IResult; use nom::IResult;
@@ -20,7 +19,7 @@ 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.
const SPECIAL_CHARS: &[char] = &[ const SPECIAL_CHARS: &[char] = &[
'+', '^', '`', ':', '{', '}', '"', '\'', '[', ']', '(', ')', '!', '\\', '*', ' ', '+', '^', '`', ':', '{', '}', '"', '[', ']', '(', ')', '!', '\\', '*', ' ',
]; ];
/// consume a field name followed by colon. Return the field name with escape sequence /// consume a field name followed by colon. Return the field name with escape sequence
@@ -42,92 +41,36 @@ fn field_name(inp: &str) -> IResult<&str, String> {
)(inp) )(inp)
} }
const ESCAPE_IN_WORD: &[char] = &['^', '`', ':', '{', '}', '"', '\'', '[', ']', '(', ')', '\\'];
fn interpret_escape(source: &str) -> String {
let mut res = String::with_capacity(source.len());
let mut in_escape = false;
let require_escape = |c: char| c.is_whitespace() || ESCAPE_IN_WORD.contains(&c) || c == '-';
for c in source.chars() {
if in_escape {
if !require_escape(c) {
// we re-add the escape sequence
res.push('\\');
}
res.push(c);
in_escape = false;
} else if c == '\\' {
in_escape = true;
} else {
res.push(c);
}
}
res
}
/// 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, &str> {
map_res( map_res(
recognize(tuple(( recognize(tuple((
alt(( satisfy(|c| {
preceded(char('\\'), anychar), !c.is_whitespace()
satisfy(|c| !c.is_whitespace() && !ESCAPE_IN_WORD.contains(&c) && c != '-'), && !['-', '^', '`', ':', '{', '}', '"', '[', ']', '(', ')'].contains(&c)
)), }),
many0(alt(( many0(satisfy(|c: char| {
preceded(char('\\'), anychar), !c.is_whitespace() && ![':', '^', '{', '}', '"', '[', ']', '(', ')'].contains(&c)
satisfy(|c: char| !c.is_whitespace() && !ESCAPE_IN_WORD.contains(&c)), })),
))),
))), ))),
|s| match s { |s| match s {
"OR" | "AND" | "NOT" | "IN" => Err(Error::new(inp, ErrorKind::Tag)), "OR" | "AND" | "NOT" | "IN" => Err(Error::new(inp, ErrorKind::Tag)),
s if s.contains('\\') => Ok(Cow::Owned(interpret_escape(s))), _ => Ok(s),
s => Ok(Cow::Borrowed(s)),
}, },
)(inp) )(inp)
} }
fn word_infallible( fn word_infallible(delimiter: &str) -> impl Fn(&str) -> JResult<&str, Option<&str>> + '_ {
delimiter: &str, |inp| {
emit_error: bool, opt_i_err(
) -> impl Fn(&str) -> JResult<&str, Option<Cow<str>>> + '_ { preceded(
// emit error is set when receiving an unescaped `:` should emit an error space0,
recognize(many1(satisfy(|c| {
move |inp| { !c.is_whitespace() && !delimiter.contains(c)
map( }))),
opt_i_err(
preceded(
multispace0,
recognize(many1(alt((
preceded(char::<&str, _>('\\'), anychar),
satisfy(|c| !c.is_whitespace() && !delimiter.contains(c)),
)))),
),
"expected word",
), ),
|(opt_s, mut errors)| match opt_s { "expected word",
Some(s) => {
if emit_error
&& (s
.as_bytes()
.windows(2)
.any(|window| window[0] != b'\\' && window[1] == b':')
|| s.starts_with(':'))
{
errors.push(LenientErrorInternal {
pos: inp.len(),
message: "parsed possible invalid field as term".to_string(),
});
}
if s.contains('\\') {
(Some(Cow::Owned(interpret_escape(s))), errors)
} else {
(Some(Cow::Borrowed(s)), errors)
}
}
None => (None, errors),
},
)(inp) )(inp)
} }
} }
@@ -216,7 +159,7 @@ fn simple_term_infallible(
(value((), char('\'')), simple_quotes), (value((), char('\'')), simple_quotes),
), ),
// numbers are parsed with words in this case, as we allow string starting with a - // numbers are parsed with words in this case, as we allow string starting with a -
map(word_infallible(delimiter, true), |(text, errors)| { map(word_infallible(delimiter), |(text, errors)| {
(text.map(|text| (Delimiter::None, text.to_string())), errors) (text.map(|text| (Delimiter::None, text.to_string())), errors)
}), }),
)(inp) )(inp)
@@ -275,14 +218,27 @@ fn term_or_phrase_infallible(inp: &str) -> JResult<&str, Option<UserInputLeaf>>
} }
fn term_group(inp: &str) -> IResult<&str, UserInputAst> { fn term_group(inp: &str) -> IResult<&str, UserInputAst> {
let occur_symbol = alt((
value(Occur::MustNot, char('-')),
value(Occur::Must, char('+')),
));
map( map(
tuple(( tuple((
terminated(field_name, multispace0), terminated(field_name, space0),
delimited(tuple((char('('), multispace0)), ast, char(')')), delimited(
tuple((char('('), space0)),
separated_list0(space1, tuple((opt(occur_symbol), term_or_phrase))),
char(')'),
),
)), )),
|(field_name, mut ast)| { |(field_name, terms)| {
ast.set_default_field(field_name); UserInputAst::Clause(
ast terms
.into_iter()
.map(|(occur, leaf)| (occur, leaf.set_field(Some(field_name.clone())).into()))
.collect(),
)
}, },
)(inp) )(inp)
} }
@@ -294,7 +250,7 @@ fn term_group_precond(inp: &str) -> IResult<&str, (), ()> {
(), (),
peek(tuple(( peek(tuple((
field_name, field_name,
multispace0, space0,
char('('), // when we are here, we know it can't be anything but a term group char('('), // when we are here, we know it can't be anything but a term group
))), ))),
)(inp) )(inp)
@@ -302,18 +258,46 @@ fn term_group_precond(inp: &str) -> IResult<&str, (), ()> {
} }
fn term_group_infallible(inp: &str) -> JResult<&str, UserInputAst> { fn term_group_infallible(inp: &str) -> JResult<&str, UserInputAst> {
let (inp, (field_name, _, _, _)) = let (mut inp, (field_name, _, _, _)) =
tuple((field_name, multispace0, char('('), multispace0))(inp).expect("precondition failed"); tuple((field_name, space0, char('('), space0))(inp).expect("precondition failed");
let res = delimited_infallible( let mut terms = Vec::new();
nothing, let mut errs = Vec::new();
map(ast_infallible, |(mut ast, errors)| {
ast.set_default_field(field_name.to_string()); let mut first_round = true;
(ast, errors) loop {
}), let mut space_error = if first_round {
opt_i_err(char(')'), "expected ')'"), first_round = false;
)(inp); Vec::new()
res } else {
let (rest, (_, err)) = space1_infallible(inp)?;
inp = rest;
err
};
if inp.is_empty() {
errs.push(LenientErrorInternal {
pos: inp.len(),
message: "missing )".to_string(),
});
break Ok((inp, (UserInputAst::Clause(terms), errs)));
}
if let Some(inp) = inp.strip_prefix(')') {
break Ok((inp, (UserInputAst::Clause(terms), errs)));
}
// only append missing space error if we did not reach the end of group
errs.append(&mut space_error);
// here we do the assumption term_or_phrase_infallible always consume something if the
// first byte is not `)` or ' '. If it did not, we would end up looping.
let (rest, ((occur, leaf), mut err)) =
tuple_infallible((occur_symbol, term_or_phrase_infallible))(inp)?;
errs.append(&mut err);
if let Some(leaf) = leaf {
terms.push((occur, leaf.set_field(Some(field_name.clone())).into()));
}
inp = rest;
}
} }
fn exists(inp: &str) -> IResult<&str, UserInputLeaf> { fn exists(inp: &str) -> IResult<&str, UserInputLeaf> {
@@ -321,7 +305,7 @@ fn exists(inp: &str) -> IResult<&str, UserInputLeaf> {
UserInputLeaf::Exists { UserInputLeaf::Exists {
field: String::new(), field: String::new(),
}, },
tuple((multispace0, char('*'))), tuple((space0, char('*'))),
)(inp) )(inp)
} }
@@ -330,7 +314,7 @@ fn exists_precond(inp: &str) -> IResult<&str, (), ()> {
(), (),
peek(tuple(( peek(tuple((
field_name, field_name,
multispace0, space0,
char('*'), // when we are here, we know it can't be anything but a exists char('*'), // when we are here, we know it can't be anything but a exists
))), ))),
)(inp) )(inp)
@@ -339,7 +323,7 @@ fn exists_precond(inp: &str) -> IResult<&str, (), ()> {
fn exists_infallible(inp: &str) -> JResult<&str, UserInputAst> { fn exists_infallible(inp: &str) -> JResult<&str, UserInputAst> {
let (inp, (field_name, _, _)) = let (inp, (field_name, _, _)) =
tuple((field_name, multispace0, char('*')))(inp).expect("precondition failed"); tuple((field_name, space0, char('*')))(inp).expect("precondition failed");
let exists = UserInputLeaf::Exists { field: field_name }.into(); let exists = UserInputLeaf::Exists { field: field_name }.into();
Ok((inp, (exists, Vec::new()))) Ok((inp, (exists, Vec::new())))
@@ -365,7 +349,7 @@ fn literal_no_group_infallible(inp: &str) -> JResult<&str, Option<UserInputAst>>
alt_infallible( alt_infallible(
( (
( (
value((), tuple((tag("IN"), multispace0, char('[')))), value((), tuple((tag("IN"), space0, char('[')))),
map(set_infallible, |(set, errs)| (Some(set), errs)), map(set_infallible, |(set, errs)| (Some(set), errs)),
), ),
( (
@@ -379,6 +363,15 @@ fn literal_no_group_infallible(inp: &str) -> JResult<&str, Option<UserInputAst>>
|((field_name, _, leaf), mut errors)| { |((field_name, _, leaf), mut errors)| {
( (
leaf.map(|leaf| { leaf.map(|leaf| {
if matches!(&leaf, UserInputLeaf::Literal(literal)
if literal.phrase.contains(':') && literal.delimiter == Delimiter::None)
&& field_name.is_none()
{
errors.push(LenientErrorInternal {
pos: inp.len(),
message: "parsed possible invalid field as term".to_string(),
});
}
if matches!(&leaf, UserInputLeaf::Literal(literal) if matches!(&leaf, UserInputLeaf::Literal(literal)
if literal.phrase == "NOT" && literal.delimiter == Delimiter::None) if literal.phrase == "NOT" && literal.delimiter == Delimiter::None)
&& field_name.is_none() && field_name.is_none()
@@ -437,8 +430,8 @@ fn range(inp: &str) -> IResult<&str, UserInputLeaf> {
// check for unbounded range in the form of <5, <=10, >5, >=5 // check for unbounded range in the form of <5, <=10, >5, >=5
let elastic_unbounded_range = map( let elastic_unbounded_range = map(
tuple(( tuple((
preceded(multispace0, alt((tag(">="), tag("<="), tag("<"), tag(">")))), preceded(space0, alt((tag(">="), tag("<="), tag("<"), tag(">")))),
preceded(multispace0, range_term_val()), preceded(space0, range_term_val()),
)), )),
|(comparison_sign, bound)| match comparison_sign { |(comparison_sign, bound)| match comparison_sign {
">=" => (UserInputBound::Inclusive(bound), UserInputBound::Unbounded), ">=" => (UserInputBound::Inclusive(bound), UserInputBound::Unbounded),
@@ -451,7 +444,7 @@ fn range(inp: &str) -> IResult<&str, UserInputLeaf> {
); );
let lower_bound = map( let lower_bound = map(
separated_pair(one_of("{["), multispace0, range_term_val()), separated_pair(one_of("{["), space0, range_term_val()),
|(boundary_char, lower_bound)| { |(boundary_char, lower_bound)| {
if lower_bound == "*" { if lower_bound == "*" {
UserInputBound::Unbounded UserInputBound::Unbounded
@@ -464,7 +457,7 @@ fn range(inp: &str) -> IResult<&str, UserInputLeaf> {
); );
let upper_bound = map( let upper_bound = map(
separated_pair(range_term_val(), multispace0, one_of("}]")), separated_pair(range_term_val(), space0, one_of("}]")),
|(upper_bound, boundary_char)| { |(upper_bound, boundary_char)| {
if upper_bound == "*" { if upper_bound == "*" {
UserInputBound::Unbounded UserInputBound::Unbounded
@@ -476,11 +469,8 @@ fn range(inp: &str) -> IResult<&str, UserInputLeaf> {
}, },
); );
let lower_to_upper = separated_pair( let lower_to_upper =
lower_bound, separated_pair(lower_bound, tuple((space1, tag("TO"), space1)), upper_bound);
tuple((multispace1, tag("TO"), multispace1)),
upper_bound,
);
map( map(
alt((elastic_unbounded_range, lower_to_upper)), alt((elastic_unbounded_range, lower_to_upper)),
@@ -497,20 +487,17 @@ fn range_infallible(inp: &str) -> JResult<&str, UserInputLeaf> {
tuple_infallible(( tuple_infallible((
opt_i(anychar), opt_i(anychar),
space0_infallible, space0_infallible,
word_infallible("]}", false), word_infallible("]}"),
space1_infallible, space1_infallible,
opt_i_err( opt_i_err(
terminated(tag("TO"), alt((value((), multispace1), value((), eof)))), terminated(tag("TO"), alt((value((), space1), value((), eof)))),
"missing keyword TO", "missing keyword TO",
), ),
word_infallible("]}", false), word_infallible("]}"),
opt_i_err(one_of("]}"), "missing range delimiter"), opt_i_err(one_of("]}"), "missing range delimiter"),
)), )),
|( |((lower_bound_kind, _space0, lower, _space1, to, upper, upper_bound_kind), errs)| {
(lower_bound_kind, _multispace0, lower, _multispace1, to, upper, upper_bound_kind), let lower_bound = match (lower_bound_kind, lower) {
errs,
)| {
let lower_bound = match (lower_bound_kind, lower.as_deref()) {
(_, Some("*")) => UserInputBound::Unbounded, (_, Some("*")) => UserInputBound::Unbounded,
(_, None) => UserInputBound::Unbounded, (_, None) => UserInputBound::Unbounded,
// if it is some, TO was actually the bound (i.e. [TO TO something]) // if it is some, TO was actually the bound (i.e. [TO TO something])
@@ -519,7 +506,7 @@ fn range_infallible(inp: &str) -> JResult<&str, UserInputLeaf> {
(Some('{'), Some(bound)) => UserInputBound::Exclusive(bound.to_string()), (Some('{'), Some(bound)) => UserInputBound::Exclusive(bound.to_string()),
_ => unreachable!("precondition failed, range did not start with [ or {{"), _ => unreachable!("precondition failed, range did not start with [ or {{"),
}; };
let upper_bound = match (upper_bound_kind, upper.as_deref()) { let upper_bound = match (upper_bound_kind, upper) {
(_, Some("*")) => UserInputBound::Unbounded, (_, Some("*")) => UserInputBound::Unbounded,
(_, None) => UserInputBound::Unbounded, (_, None) => UserInputBound::Unbounded,
(Some(']'), Some(bound)) => UserInputBound::Inclusive(bound.to_string()), (Some(']'), Some(bound)) => UserInputBound::Inclusive(bound.to_string()),
@@ -536,7 +523,7 @@ fn range_infallible(inp: &str) -> JResult<&str, UserInputLeaf> {
( (
( (
value((), tag(">=")), value((), tag(">=")),
map(word_infallible("", false), |(bound, err)| { map(word_infallible(""), |(bound, err)| {
( (
( (
bound bound
@@ -550,7 +537,7 @@ fn range_infallible(inp: &str) -> JResult<&str, UserInputLeaf> {
), ),
( (
value((), tag("<=")), value((), tag("<=")),
map(word_infallible("", false), |(bound, err)| { map(word_infallible(""), |(bound, err)| {
( (
( (
UserInputBound::Unbounded, UserInputBound::Unbounded,
@@ -564,7 +551,7 @@ fn range_infallible(inp: &str) -> JResult<&str, UserInputLeaf> {
), ),
( (
value((), tag(">")), value((), tag(">")),
map(word_infallible("", false), |(bound, err)| { map(word_infallible(""), |(bound, err)| {
( (
( (
bound bound
@@ -578,7 +565,7 @@ fn range_infallible(inp: &str) -> JResult<&str, UserInputLeaf> {
), ),
( (
value((), tag("<")), value((), tag("<")),
map(word_infallible("", false), |(bound, err)| { map(word_infallible(""), |(bound, err)| {
( (
( (
UserInputBound::Unbounded, UserInputBound::Unbounded,
@@ -609,10 +596,10 @@ fn range_infallible(inp: &str) -> JResult<&str, UserInputLeaf> {
fn set(inp: &str) -> IResult<&str, UserInputLeaf> { fn set(inp: &str) -> IResult<&str, UserInputLeaf> {
map( map(
preceded( preceded(
tuple((multispace0, tag("IN"), multispace1)), tuple((space0, tag("IN"), space1)),
delimited( delimited(
tuple((char('['), multispace0)), tuple((char('['), space0)),
separated_list0(multispace1, map(simple_term, |(_, term)| term)), separated_list0(space1, map(simple_term, |(_, term)| term)),
char(']'), char(']'),
), ),
), ),
@@ -680,7 +667,7 @@ fn leaf(inp: &str) -> IResult<&str, UserInputAst> {
alt(( alt((
delimited(char('('), ast, char(')')), delimited(char('('), ast, char(')')),
map(char('*'), |_| UserInputAst::from(UserInputLeaf::All)), map(char('*'), |_| UserInputAst::from(UserInputLeaf::All)),
map(preceded(tuple((tag("NOT"), multispace1)), leaf), negate), map(preceded(tuple((tag("NOT"), space1)), leaf), negate),
literal, literal,
))(inp) ))(inp)
} }
@@ -793,23 +780,27 @@ fn binary_operand(inp: &str) -> IResult<&str, BinaryOperand> {
} }
fn aggregate_binary_expressions( fn aggregate_binary_expressions(
left: (Option<Occur>, UserInputAst), left: UserInputAst,
others: Vec<(Option<BinaryOperand>, Option<Occur>, UserInputAst)>, others: Vec<(BinaryOperand, UserInputAst)>,
) -> Result<UserInputAst, LenientErrorInternal> { ) -> UserInputAst {
let mut leafs = Vec::with_capacity(others.len() + 1); let mut dnf: Vec<Vec<UserInputAst>> = vec![vec![left]];
leafs.push((None, left.0, Some(left.1))); for (operator, operand_ast) in others {
leafs.extend( match operator {
others BinaryOperand::And => {
.into_iter() if let Some(last) = dnf.last_mut() {
.map(|(operand, occur, ast)| (operand, occur, Some(ast))), last.push(operand_ast);
); }
// the parameters we pass should statically guarantee we can't get errors }
// (no prefix BinaryOperand is provided) BinaryOperand::Or => {
let (res, mut errors) = aggregate_infallible_expressions(leafs); dnf.push(vec![operand_ast]);
if errors.is_empty() { }
Ok(res) }
}
if dnf.len() == 1 {
UserInputAst::and(dnf.into_iter().next().unwrap()) //< safe
} else { } else {
Err(errors.swap_remove(0)) let conjunctions = dnf.into_iter().map(UserInputAst::and).collect();
UserInputAst::or(conjunctions)
} }
} }
@@ -825,10 +816,30 @@ fn aggregate_infallible_expressions(
return (UserInputAst::empty_query(), err); return (UserInputAst::empty_query(), err);
} }
let use_operand = leafs.iter().any(|(operand, _, _)| operand.is_some());
let all_operand = leafs
.iter()
.skip(1)
.all(|(operand, _, _)| operand.is_some());
let early_operand = leafs let early_operand = leafs
.iter() .iter()
.take(1) .take(1)
.all(|(operand, _, _)| operand.is_some()); .all(|(operand, _, _)| operand.is_some());
let use_occur = leafs.iter().any(|(_, occur, _)| occur.is_some());
if use_operand && use_occur {
err.push(LenientErrorInternal {
pos: 0,
message: "Use of mixed occur and boolean operator".to_string(),
});
}
if use_operand && !all_operand {
err.push(LenientErrorInternal {
pos: 0,
message: "Missing boolean operator".to_string(),
});
}
if early_operand { if early_operand {
err.push(LenientErrorInternal { err.push(LenientErrorInternal {
@@ -855,15 +866,7 @@ fn aggregate_infallible_expressions(
Some(BinaryOperand::And) => Some(Occur::Must), Some(BinaryOperand::And) => Some(Occur::Must),
_ => Some(Occur::Should), _ => Some(Occur::Should),
}; };
if occur == &Some(Occur::MustNot) && default_op == Some(Occur::Should) { clauses.push(vec![(occur.or(default_op), ast.clone())]);
// if occur is MustNot *and* operation is OR, we synthetize a ShouldNot
clauses.push(vec![(
Some(Occur::Should),
ast.clone().unary(Occur::MustNot),
)])
} else {
clauses.push(vec![(occur.or(default_op), ast.clone())]);
}
} }
None => { None => {
let default_op = match next_operator { let default_op = match next_operator {
@@ -871,15 +874,7 @@ fn aggregate_infallible_expressions(
Some(BinaryOperand::Or) => Some(Occur::Should), Some(BinaryOperand::Or) => Some(Occur::Should),
None => None, None => None,
}; };
if occur == &Some(Occur::MustNot) && default_op == Some(Occur::Should) { clauses.push(vec![(occur.or(default_op), ast.clone())])
// if occur is MustNot *and* operation is OR, we synthetize a ShouldNot
clauses.push(vec![(
Some(Occur::Should),
ast.clone().unary(Occur::MustNot),
)])
} else {
clauses.push(vec![(occur.or(default_op), ast.clone())])
}
} }
} }
} }
@@ -896,12 +891,7 @@ fn aggregate_infallible_expressions(
} }
} }
Some(BinaryOperand::Or) => { Some(BinaryOperand::Or) => {
if last_occur == Some(Occur::MustNot) { clauses.push(vec![(last_occur.or(Some(Occur::Should)), last_ast)]);
// if occur is MustNot *and* operation is OR, we synthetize a ShouldNot
clauses.push(vec![(Some(Occur::Should), last_ast.unary(Occur::MustNot))]);
} else {
clauses.push(vec![(last_occur.or(Some(Occur::Should)), last_ast)]);
}
} }
None => clauses.push(vec![(last_occur, last_ast)]), None => clauses.push(vec![(last_occur, last_ast)]),
} }
@@ -927,29 +917,35 @@ fn aggregate_infallible_expressions(
} }
} }
fn operand_leaf(inp: &str) -> IResult<&str, (Option<BinaryOperand>, Option<Occur>, UserInputAst)> { fn operand_leaf(inp: &str) -> IResult<&str, (BinaryOperand, UserInputAst)> {
map( tuple((
tuple(( terminated(binary_operand, space0),
terminated(opt(binary_operand), multispace0), terminated(boosted_leaf, space0),
terminated(occur_leaf, multispace0), ))(inp)
)),
|(operand, (occur, ast))| (operand, occur, ast),
)(inp)
} }
fn ast(inp: &str) -> IResult<&str, UserInputAst> { fn ast(inp: &str) -> IResult<&str, UserInputAst> {
let boolean_expr = map_res( let boolean_expr = map(
separated_pair(occur_leaf, multispace1, many1(operand_leaf)), separated_pair(boosted_leaf, space1, many1(operand_leaf)),
|(left, right)| aggregate_binary_expressions(left, right), |(left, right)| aggregate_binary_expressions(left, right),
); );
let single_leaf = map(occur_leaf, |(occur, ast)| { let whitespace_separated_leaves = map(separated_list1(space1, occur_leaf), |subqueries| {
if occur == Some(Occur::MustNot) { if subqueries.len() == 1 {
ast.unary(Occur::MustNot) let (occur_opt, ast) = subqueries.into_iter().next().unwrap();
match occur_opt.unwrap_or(Occur::Should) {
Occur::Must | Occur::Should => ast,
Occur::MustNot => UserInputAst::Clause(vec![(Some(Occur::MustNot), ast)]),
}
} else { } else {
ast UserInputAst::Clause(subqueries.into_iter().collect())
} }
}); });
delimited(multispace0, alt((boolean_expr, single_leaf)), multispace0)(inp)
delimited(
space0,
alt((boolean_expr, whitespace_separated_leaves)),
space0,
)(inp)
} }
fn ast_infallible(inp: &str) -> JResult<&str, UserInputAst> { fn ast_infallible(inp: &str) -> JResult<&str, UserInputAst> {
@@ -973,7 +969,7 @@ fn ast_infallible(inp: &str) -> JResult<&str, UserInputAst> {
} }
pub fn parse_to_ast(inp: &str) -> IResult<&str, UserInputAst> { pub fn parse_to_ast(inp: &str) -> IResult<&str, UserInputAst> {
map(delimited(multispace0, opt(ast), eof), |opt_ast| { map(delimited(space0, opt(ast), eof), |opt_ast| {
rewrite_ast(opt_ast.unwrap_or_else(UserInputAst::empty_query)) rewrite_ast(opt_ast.unwrap_or_else(UserInputAst::empty_query))
})(inp) })(inp)
} }
@@ -1149,43 +1145,24 @@ mod test {
#[test] #[test]
fn test_parse_query_to_ast_binary_op() { fn test_parse_query_to_ast_binary_op() {
test_parse_query_to_ast_helper("a AND b", "(+a +b)"); test_parse_query_to_ast_helper("a AND b", "(+a +b)");
test_parse_query_to_ast_helper("a\nAND b", "(+a +b)");
test_parse_query_to_ast_helper("a OR b", "(?a ?b)"); test_parse_query_to_ast_helper("a OR b", "(?a ?b)");
test_parse_query_to_ast_helper("a OR b AND c", "(?a ?(+b +c))"); test_parse_query_to_ast_helper("a OR b AND c", "(?a ?(+b +c))");
test_parse_query_to_ast_helper("a AND b AND c", "(+a +b +c)"); test_parse_query_to_ast_helper("a AND b AND c", "(+a +b +c)");
test_parse_query_to_ast_helper("a OR b aaa", "(?a ?b *aaa)"); test_is_parse_err("a OR b aaa", "(?a ?b *aaa)");
test_parse_query_to_ast_helper("a AND b aaa", "(?(+a +b) *aaa)"); test_is_parse_err("a AND b aaa", "(?(+a +b) *aaa)");
test_parse_query_to_ast_helper("aaa a OR b ", "(*aaa ?a ?b)"); test_is_parse_err("aaa a OR b ", "(*aaa ?a ?b)");
test_parse_query_to_ast_helper("aaa ccc a OR b ", "(*aaa *ccc ?a ?b)"); test_is_parse_err("aaa ccc a OR b ", "(*aaa *ccc ?a ?b)");
test_parse_query_to_ast_helper("aaa a AND b ", "(*aaa ?(+a +b))"); test_is_parse_err("aaa a AND b ", "(*aaa ?(+a +b))");
test_parse_query_to_ast_helper("aaa ccc a AND b ", "(*aaa *ccc ?(+a +b))"); test_is_parse_err("aaa ccc a AND b ", "(*aaa *ccc ?(+a +b))");
} }
#[test] #[test]
fn test_parse_mixed_bool_occur() { fn test_parse_mixed_bool_occur() {
test_parse_query_to_ast_helper("+a OR +b", "(+a +b)"); test_is_parse_err("a OR b +aaa", "(?a ?b +aaa)");
test_is_parse_err("a AND b -aaa", "(?(+a +b) -aaa)");
test_parse_query_to_ast_helper("a AND -b", "(+a -b)"); test_is_parse_err("+a OR +b aaa", "(+a +b *aaa)");
test_parse_query_to_ast_helper("-a AND b", "(-a +b)"); test_is_parse_err("-a AND -b aaa", "(?(-a -b) *aaa)");
test_parse_query_to_ast_helper("a AND NOT b", "(+a +(-b))"); test_is_parse_err("-aaa +ccc -a OR b ", "(-aaa +ccc -a ?b)");
test_parse_query_to_ast_helper("NOT a AND b", "(+(-a) +b)");
test_parse_query_to_ast_helper("a AND NOT b AND c", "(+a +(-b) +c)");
test_parse_query_to_ast_helper("a AND -b AND c", "(+a -b +c)");
test_parse_query_to_ast_helper("a OR -b", "(?a ?(-b))");
test_parse_query_to_ast_helper("-a OR b", "(?(-a) ?b)");
test_parse_query_to_ast_helper("a OR NOT b", "(?a ?(-b))");
test_parse_query_to_ast_helper("NOT a OR b", "(?(-a) ?b)");
test_parse_query_to_ast_helper("a OR NOT b OR c", "(?a ?(-b) ?c)");
test_parse_query_to_ast_helper("a OR -b OR c", "(?a ?(-b) ?c)");
test_parse_query_to_ast_helper("a OR b +aaa", "(?a ?b +aaa)");
test_parse_query_to_ast_helper("a AND b -aaa", "(?(+a +b) -aaa)");
test_parse_query_to_ast_helper("+a OR +b aaa", "(+a +b *aaa)");
test_parse_query_to_ast_helper("-a AND -b aaa", "(?(-a -b) *aaa)");
test_parse_query_to_ast_helper("-aaa +ccc -a OR b ", "(-aaa +ccc ?(-a) ?b)");
} }
#[test] #[test]
@@ -1205,12 +1182,6 @@ mod test {
test_parse_query_to_ast_helper("weight: <= 70", "\"weight\":{\"*\" TO \"70\"]"); test_parse_query_to_ast_helper("weight: <= 70", "\"weight\":{\"*\" TO \"70\"]");
test_parse_query_to_ast_helper("weight: <= 70.5", "\"weight\":{\"*\" TO \"70.5\"]"); test_parse_query_to_ast_helper("weight: <= 70.5", "\"weight\":{\"*\" TO \"70.5\"]");
test_parse_query_to_ast_helper(">a", "{\"a\" TO \"*\"}");
test_parse_query_to_ast_helper(">=a", "[\"a\" TO \"*\"}");
test_parse_query_to_ast_helper("<a", "{\"*\" TO \"a\"}");
test_parse_query_to_ast_helper("<=a", "{\"*\" TO \"a\"]");
test_parse_query_to_ast_helper("<=bsd", "{\"*\" TO \"bsd\"]");
} }
#[test] #[test]
@@ -1481,18 +1452,8 @@ mod test {
#[test] #[test]
fn test_parse_query_term_group() { fn test_parse_query_term_group() {
test_parse_query_to_ast_helper(r#"field:(abc)"#, r#""field":abc"#); test_parse_query_to_ast_helper(r#"field:(abc)"#, r#"(*"field":abc)"#);
test_parse_query_to_ast_helper(r#"field:(+a -"b c")"#, r#"(+"field":a -"field":"b c")"#); test_parse_query_to_ast_helper(r#"field:(+a -"b c")"#, r#"(+"field":a -"field":"b c")"#);
test_parse_query_to_ast_helper(r#"field:(a AND "b c")"#, r#"(+"field":a +"field":"b c")"#);
test_parse_query_to_ast_helper(r#"field:(a OR "b c")"#, r#"(?"field":a ?"field":"b c")"#);
test_parse_query_to_ast_helper(
r#"field:(a OR (b AND c))"#,
r#"(?"field":a ?(+"field":b +"field":c))"#,
);
test_parse_query_to_ast_helper(
r#"field:(a [b TO c])"#,
r#"(*"field":a *"field":["b" TO "c"])"#,
);
test_is_parse_err(r#"field:(+a -"b c""#, r#"(+"field":a -"field":"b c")"#); test_is_parse_err(r#"field:(+a -"b c""#, r#"(+"field":a -"field":"b c")"#);
} }
@@ -1644,21 +1605,5 @@ mod test {
r#"myfield:'hello\"happy\'tax'"#, r#"myfield:'hello\"happy\'tax'"#,
r#""myfield":'hello"happy'tax'"#, r#""myfield":'hello"happy'tax'"#,
); );
// we don't process escape sequence for chars which don't require it
test_parse_query_to_ast_helper(r#"abc\*"#, r#"abc\*"#);
}
#[test]
fn test_queries_with_colons() {
test_parse_query_to_ast_helper(r#""abc:def""#, r#""abc:def""#);
test_parse_query_to_ast_helper(r#"'abc:def'"#, r#"'abc:def'"#);
test_parse_query_to_ast_helper(r#"abc\:def"#, r#"abc:def"#);
test_parse_query_to_ast_helper(r#""abc\:def""#, r#""abc:def""#);
test_parse_query_to_ast_helper(r#"'abc\:def'"#, r#"'abc:def'"#);
}
#[test]
fn test_invalid_field() {
test_is_parse_err(r#"!bc:def"#, "!bc:def");
} }
} }

30
query-grammar/src/user_input_ast.rs
View File

@@ -44,26 +44,6 @@ impl UserInputLeaf {
}, },
} }
} }
pub(crate) fn set_default_field(&mut self, default_field: String) {
match self {
UserInputLeaf::Literal(ref mut literal) if literal.field_name.is_none() => {
literal.field_name = Some(default_field)
}
UserInputLeaf::All => {
*self = UserInputLeaf::Exists {
field: default_field,
}
}
UserInputLeaf::Range { ref mut field, .. } if field.is_none() => {
*field = Some(default_field)
}
UserInputLeaf::Set { ref mut field, .. } if field.is_none() => {
*field = Some(default_field)
}
_ => (), // field was already set, do nothing
}
}
} }
impl Debug for UserInputLeaf { impl Debug for UserInputLeaf {
@@ -225,16 +205,6 @@ impl UserInputAst {
pub fn or(asts: Vec<UserInputAst>) -> UserInputAst { pub fn or(asts: Vec<UserInputAst>) -> UserInputAst {
UserInputAst::compose(Occur::Should, asts) UserInputAst::compose(Occur::Should, asts)
} }
pub(crate) fn set_default_field(&mut self, field: String) {
match self {
UserInputAst::Clause(clauses) => clauses
.iter_mut()
.for_each(|(_, ast)| ast.set_default_field(field.clone())),
UserInputAst::Leaf(leaf) => leaf.set_default_field(field),
UserInputAst::Boost(ref mut ast, _) => ast.set_default_field(field),
}
}
} }
impl From<UserInputLiteral> for UserInputLeaf { impl From<UserInputLiteral> for UserInputLeaf {

550
src/aggregation/agg_bench.rs Normal file
View File

@@ -0,0 +1,550 @@
#[cfg(all(test, feature = "unstable"))]
mod bench {
use rand::prelude::SliceRandom;
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
use rand_distr::Distribution;
use serde_json::json;
use test::{self, Bencher};
use crate::aggregation::agg_req::Aggregations;
use crate::aggregation::AggregationCollector;
use crate::query::{AllQuery, TermQuery};
use crate::schema::{IndexRecordOption, Schema, TextFieldIndexing, FAST, STRING};
use crate::{Index, Term};
#[derive(Clone, Copy, Hash, Default, Debug, PartialEq, Eq, PartialOrd, Ord)]
enum Cardinality {
/// All documents contain exactly one value.
/// `Full` is the default for auto-detecting the Cardinality, since it is the most strict.
#[default]
Full = 0,
/// All documents contain at most one value.
Optional = 1,
/// All documents may contain any number of values.
Multivalued = 2,
/// 1 / 20 documents has a value
Sparse = 3,
}
fn get_collector(agg_req: Aggregations) -> AggregationCollector {
AggregationCollector::from_aggs(agg_req, Default::default())
}
fn get_test_index_bench(cardinality: Cardinality) -> crate::Result<Index> {
let mut schema_builder = Schema::builder();
let text_fieldtype = crate::schema::TextOptions::default()
.set_indexing_options(
TextFieldIndexing::default().set_index_option(IndexRecordOption::WithFreqs),
)
.set_stored();
let text_field = schema_builder.add_text_field("text", text_fieldtype);
let json_field = schema_builder.add_json_field("json", FAST);
let text_field_many_terms = schema_builder.add_text_field("text_many_terms", STRING | FAST);
let text_field_few_terms = schema_builder.add_text_field("text_few_terms", STRING | FAST);
let score_fieldtype = crate::schema::NumericOptions::default().set_fast();
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_i64 = schema_builder.add_i64_field("score_i64", score_fieldtype);
let index = Index::create_from_tempdir(schema_builder.build())?;
let few_terms_data = ["INFO", "ERROR", "WARN", "DEBUG"];
let lg_norm = rand_distr::LogNormal::new(2.996f64, 0.979f64).unwrap();
let many_terms_data = (0..150_000)
.map(|num| format!("author{}", num))
.collect::<Vec<_>>();
{
let mut rng = StdRng::from_seed([1u8; 32]);
let mut index_writer = index.writer_with_num_threads(1, 200_000_000)?;
// To make the different test cases comparable we just change one doc to force the
// cardinality
if cardinality == Cardinality::Optional {
index_writer.add_document(doc!())?;
}
if cardinality == Cardinality::Multivalued {
index_writer.add_document(doc!(
json_field => json!({"mixed_type": 10.0}),
json_field => json!({"mixed_type": 10.0}),
text_field => "cool",
text_field => "cool",
text_field_many_terms => "cool",
text_field_many_terms => "cool",
text_field_few_terms => "cool",
text_field_few_terms => "cool",
score_field => 1u64,
score_field => 1u64,
score_field_f64 => lg_norm.sample(&mut rng),
score_field_f64 => lg_norm.sample(&mut rng),
score_field_i64 => 1i64,
score_field_i64 => 1i64,
))?;
}
let mut doc_with_value = 1_000_000;
if cardinality == Cardinality::Sparse {
doc_with_value /= 20;
}
let _val_max = 1_000_000.0;
for _ in 0..doc_with_value {
let val: f64 = rng.gen_range(0.0..1_000_000.0);
let json = if rng.gen_bool(0.1) {
// 10% are numeric values
json!({ "mixed_type": val })
} else {
json!({"mixed_type": many_terms_data.choose(&mut rng).unwrap().to_string()})
};
index_writer.add_document(doc!(
text_field => "cool",
json_field => json,
text_field_many_terms => many_terms_data.choose(&mut rng).unwrap().to_string(),
text_field_few_terms => few_terms_data.choose(&mut rng).unwrap().to_string(),
score_field => val as u64,
score_field_f64 => lg_norm.sample(&mut rng),
score_field_i64 => val as i64,
))?;
if cardinality == Cardinality::Sparse {
for _ in 0..20 {
index_writer.add_document(doc!(text_field => "cool"))?;
}
}
}
// writing the segment
index_writer.commit()?;
}
Ok(index)
}
use paste::paste;
#[macro_export]
macro_rules! bench_all_cardinalities {
( $x:ident ) => {
paste! {
#[bench]
fn $x(b: &mut Bencher) {
[<$x _card>](b, Cardinality::Full)
}
#[bench]
fn [<$x _opt>](b: &mut Bencher) {
[<$x _card>](b, Cardinality::Optional)
}
#[bench]
fn [<$x _multi>](b: &mut Bencher) {
[<$x _card>](b, Cardinality::Multivalued)
}
#[bench]
fn [<$x _sparse>](b: &mut Bencher) {
[<$x _card>](b, Cardinality::Sparse)
}
}
};
}
bench_all_cardinalities!(bench_aggregation_average_u64);
fn bench_aggregation_average_u64_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
let text_field = reader.searcher().schema().get_field("text").unwrap();
b.iter(|| {
let term_query = TermQuery::new(
Term::from_field_text(text_field, "cool"),
IndexRecordOption::Basic,
);
let agg_req_1: Aggregations = serde_json::from_value(json!({
"average": { "avg": { "field": "score", } }
}))
.unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&term_query, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_stats_f64);
fn bench_aggregation_stats_f64_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
let text_field = reader.searcher().schema().get_field("text").unwrap();
b.iter(|| {
let term_query = TermQuery::new(
Term::from_field_text(text_field, "cool"),
IndexRecordOption::Basic,
);
let agg_req_1: Aggregations = serde_json::from_value(json!({
"average_f64": { "stats": { "field": "score_f64", } }
}))
.unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&term_query, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_average_f64);
fn bench_aggregation_average_f64_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
let text_field = reader.searcher().schema().get_field("text").unwrap();
b.iter(|| {
let term_query = TermQuery::new(
Term::from_field_text(text_field, "cool"),
IndexRecordOption::Basic,
);
let agg_req_1: Aggregations = serde_json::from_value(json!({
"average_f64": { "avg": { "field": "score_f64", } }
}))
.unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&term_query, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_percentiles_f64);
fn bench_aggregation_percentiles_f64_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req_str = r#"
{
"mypercentiles": {
"percentiles": {
"field": "score_f64",
"percents": [ 95, 99, 99.9 ]
}
}
} "#;
let agg_req_1: Aggregations = serde_json::from_str(agg_req_str).unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_average_u64_and_f64);
fn bench_aggregation_average_u64_and_f64_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
let text_field = reader.searcher().schema().get_field("text").unwrap();
b.iter(|| {
let term_query = TermQuery::new(
Term::from_field_text(text_field, "cool"),
IndexRecordOption::Basic,
);
let agg_req_1: Aggregations = serde_json::from_value(json!({
"average_f64": { "avg": { "field": "score_f64" } },
"average": { "avg": { "field": "score" } },
}))
.unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&term_query, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_terms_few);
fn bench_aggregation_terms_few_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req: Aggregations = serde_json::from_value(json!({
"my_texts": { "terms": { "field": "text_few_terms" } },
}))
.unwrap();
let collector = get_collector(agg_req);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_terms_many_with_sub_agg);
fn bench_aggregation_terms_many_with_sub_agg_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req: Aggregations = serde_json::from_value(json!({
"my_texts": {
"terms": { "field": "text_many_terms" },
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
},
}))
.unwrap();
let collector = get_collector(agg_req);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_terms_many_json_mixed_type_with_sub_agg);
fn bench_aggregation_terms_many_json_mixed_type_with_sub_agg_card(
b: &mut Bencher,
cardinality: Cardinality,
) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req: Aggregations = serde_json::from_value(json!({
"my_texts": {
"terms": { "field": "json.mixed_type" },
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
},
}))
.unwrap();
let collector = get_collector(agg_req);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_terms_many2);
fn bench_aggregation_terms_many2_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req: Aggregations = serde_json::from_value(json!({
"my_texts": { "terms": { "field": "text_many_terms" } },
}))
.unwrap();
let collector = get_collector(agg_req);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_terms_many_order_by_term);
fn bench_aggregation_terms_many_order_by_term_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req: Aggregations = serde_json::from_value(json!({
"my_texts": { "terms": { "field": "text_many_terms", "order": { "_key": "desc" } } },
}))
.unwrap();
let collector = get_collector(agg_req);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_range_only);
fn bench_aggregation_range_only_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req_1: Aggregations = serde_json::from_value(json!({
"range_f64": { "range": { "field": "score_f64", "ranges": [
{ "from": 3, "to": 7000 },
{ "from": 7000, "to": 20000 },
{ "from": 20000, "to": 30000 },
{ "from": 30000, "to": 40000 },
{ "from": 40000, "to": 50000 },
{ "from": 50000, "to": 60000 }
] } },
}))
.unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_range_with_avg);
fn bench_aggregation_range_with_avg_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req_1: Aggregations = serde_json::from_value(json!({
"rangef64": {
"range": {
"field": "score_f64",
"ranges": [
{ "from": 3, "to": 7000 },
{ "from": 7000, "to": 20000 },
{ "from": 20000, "to": 30000 },
{ "from": 30000, "to": 40000 },
{ "from": 40000, "to": 50000 },
{ "from": 50000, "to": 60000 }
]
},
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
},
}))
.unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
// hard bounds has a different algorithm, because it actually limits collection range
//
bench_all_cardinalities!(bench_aggregation_histogram_only_hard_bounds);
fn bench_aggregation_histogram_only_hard_bounds_card(
b: &mut Bencher,
cardinality: Cardinality,
) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req_1: Aggregations = serde_json::from_value(json!({
"rangef64": { "histogram": { "field": "score_f64", "interval": 100, "hard_bounds": { "min": 1000, "max": 300000 } } },
}))
.unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_histogram_with_avg);
fn bench_aggregation_histogram_with_avg_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req_1: Aggregations = serde_json::from_value(json!({
"rangef64": {
"histogram": { "field": "score_f64", "interval": 100 },
"aggs": {
"average_f64": { "avg": { "field": "score_f64" } }
}
}
}))
.unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_histogram_only);
fn bench_aggregation_histogram_only_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
b.iter(|| {
let agg_req_1: Aggregations = serde_json::from_value(json!({
"rangef64": {
"histogram": {
"field": "score_f64",
"interval": 100 // 1000 buckets
},
}
}))
.unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&AllQuery, &collector).unwrap()
});
}
bench_all_cardinalities!(bench_aggregation_avg_and_range_with_avg);
fn bench_aggregation_avg_and_range_with_avg_card(b: &mut Bencher, cardinality: Cardinality) {
let index = get_test_index_bench(cardinality).unwrap();
let reader = index.reader().unwrap();
let text_field = reader.searcher().schema().get_field("text").unwrap();
b.iter(|| {
let term_query = TermQuery::new(
Term::from_field_text(text_field, "cool"),
IndexRecordOption::Basic,
);
let agg_req_1: Aggregations = serde_json::from_value(json!({
"rangef64": {
"range": {
"field": "score_f64",
"ranges": [
{ "from": 3, "to": 7000 },
{ "from": 7000, "to": 20000 },
{ "from": 20000, "to": 60000 }
]
},
"aggs": {
"average_in_range": { "avg": { "field": "score" } }
}
},
"average": { "avg": { "field": "score" } }
}))
.unwrap();
let collector = get_collector(agg_req_1);
let searcher = reader.searcher();
searcher.search(&term_query, &collector).unwrap()
});
}
}

22
src/aggregation/agg_limits.rs
View File

@@ -81,11 +81,10 @@ impl AggregationLimits {
} }
} }
pub(crate) fn add_memory_consumed(&self, add_num_bytes: u64) -> crate::Result<()> { pub(crate) fn add_memory_consumed(&self, num_bytes: u64) -> crate::Result<()> {
let prev_value = self self.memory_consumption
.memory_consumption .fetch_add(num_bytes, Ordering::Relaxed);
.fetch_add(add_num_bytes, Ordering::Relaxed); validate_memory_consumption(&self.memory_consumption, self.memory_limit)?;
validate_memory_consumption(prev_value + add_num_bytes, self.memory_limit)?;
Ok(()) Ok(())
} }
@@ -95,11 +94,11 @@ impl AggregationLimits {
} }
fn validate_memory_consumption( fn validate_memory_consumption(
memory_consumption: u64, memory_consumption: &AtomicU64,
memory_limit: ByteCount, memory_limit: ByteCount,
) -> Result<(), AggregationError> { ) -> Result<(), AggregationError> {
// Load the estimated memory consumed by the aggregations // Load the estimated memory consumed by the aggregations
let memory_consumed: ByteCount = memory_consumption.into(); let memory_consumed: ByteCount = memory_consumption.load(Ordering::Relaxed).into();
if memory_consumed > memory_limit { if memory_consumed > memory_limit {
return Err(AggregationError::MemoryExceeded { return Err(AggregationError::MemoryExceeded {
limit: memory_limit, limit: memory_limit,
@@ -119,11 +118,10 @@ pub struct ResourceLimitGuard {
} }
impl ResourceLimitGuard { impl ResourceLimitGuard {
pub(crate) fn add_memory_consumed(&self, add_num_bytes: u64) -> crate::Result<()> { pub(crate) fn add_memory_consumed(&self, num_bytes: u64) -> crate::Result<()> {
let prev_value = self self.memory_consumption
.memory_consumption .fetch_add(num_bytes, Ordering::Relaxed);
.fetch_add(add_num_bytes, Ordering::Relaxed); validate_memory_consumption(&self.memory_consumption, self.memory_limit)?;
validate_memory_consumption(prev_value + add_num_bytes, self.memory_limit)?;
Ok(()) Ok(())
} }
} }

53
src/aggregation/agg_req.rs
View File

@@ -34,8 +34,8 @@ use super::bucket::{
DateHistogramAggregationReq, HistogramAggregation, RangeAggregation, TermsAggregation, DateHistogramAggregationReq, HistogramAggregation, RangeAggregation, TermsAggregation,
}; };
use super::metric::{ use super::metric::{
AverageAggregation, CountAggregation, ExtendedStatsAggregation, MaxAggregation, MinAggregation, AverageAggregation, CountAggregation, MaxAggregation, MinAggregation,
PercentilesAggregationReq, StatsAggregation, SumAggregation, TopHitsAggregation, PercentilesAggregationReq, StatsAggregation, SumAggregation,
}; };
/// The top-level aggregation request structure, which contains [`Aggregation`] and their user /// The top-level aggregation request structure, which contains [`Aggregation`] and their user
@@ -93,12 +93,7 @@ impl Aggregation {
} }
fn get_fast_field_names(&self, fast_field_names: &mut HashSet<String>) { fn get_fast_field_names(&self, fast_field_names: &mut HashSet<String>) {
fast_field_names.extend( fast_field_names.insert(self.agg.get_fast_field_name().to_string());
self.agg
.get_fast_field_names()
.iter()
.map(|s| s.to_string()),
);
fast_field_names.extend(get_fast_field_names(&self.sub_aggregation)); fast_field_names.extend(get_fast_field_names(&self.sub_aggregation));
} }
} }
@@ -146,39 +141,29 @@ pub enum AggregationVariants {
/// extracted values. /// extracted values.
#[serde(rename = "stats")] #[serde(rename = "stats")]
Stats(StatsAggregation), Stats(StatsAggregation),
/// Computes a collection of estended statistics (`min`, `max`, `sum`, `count`, `avg`,
/// `sum_of_squares`, `variance`, `variance_sampling`, `std_deviation`,
/// `std_deviation_sampling`) over the extracted values.
#[serde(rename = "extended_stats")]
ExtendedStats(ExtendedStatsAggregation),
/// Computes the sum of the extracted values. /// Computes the sum of the extracted values.
#[serde(rename = "sum")] #[serde(rename = "sum")]
Sum(SumAggregation), Sum(SumAggregation),
/// Computes the sum of the extracted values. /// Computes the sum of the extracted values.
#[serde(rename = "percentiles")] #[serde(rename = "percentiles")]
Percentiles(PercentilesAggregationReq), Percentiles(PercentilesAggregationReq),
/// Finds the top k values matching some order
#[serde(rename = "top_hits")]
TopHits(TopHitsAggregation),
} }
impl AggregationVariants { impl AggregationVariants {
/// Returns the name of the fields used by the aggregation. /// Returns the name of the field used by the aggregation.
pub fn get_fast_field_names(&self) -> Vec<&str> { pub fn get_fast_field_name(&self) -> &str {
match self { match self {
AggregationVariants::Terms(terms) => vec![terms.field.as_str()], AggregationVariants::Terms(terms) => terms.field.as_str(),
AggregationVariants::Range(range) => vec![range.field.as_str()], AggregationVariants::Range(range) => range.field.as_str(),
AggregationVariants::Histogram(histogram) => vec![histogram.field.as_str()], AggregationVariants::Histogram(histogram) => histogram.field.as_str(),
AggregationVariants::DateHistogram(histogram) => vec![histogram.field.as_str()], AggregationVariants::DateHistogram(histogram) => histogram.field.as_str(),
AggregationVariants::Average(avg) => vec![avg.field_name()], AggregationVariants::Average(avg) => avg.field_name(),
AggregationVariants::Count(count) => vec![count.field_name()], AggregationVariants::Count(count) => count.field_name(),
AggregationVariants::Max(max) => vec![max.field_name()], AggregationVariants::Max(max) => max.field_name(),
AggregationVariants::Min(min) => vec![min.field_name()], AggregationVariants::Min(min) => min.field_name(),
AggregationVariants::Stats(stats) => vec![stats.field_name()], AggregationVariants::Stats(stats) => stats.field_name(),
AggregationVariants::ExtendedStats(extended_stats) => vec![extended_stats.field_name()], AggregationVariants::Sum(sum) => sum.field_name(),
AggregationVariants::Sum(sum) => vec![sum.field_name()], AggregationVariants::Percentiles(per) => per.field_name(),
AggregationVariants::Percentiles(per) => vec![per.field_name()],
AggregationVariants::TopHits(top_hits) => top_hits.field_names(),
} }
} }
@@ -203,12 +188,6 @@ impl AggregationVariants {
_ => None, _ => None,
} }
} }
pub(crate) fn as_top_hits(&self) -> Option<&TopHitsAggregation> {
match &self {
AggregationVariants::TopHits(top_hits) => Some(top_hits),
_ => None,
}
}
pub(crate) fn as_percentile(&self) -> Option<&PercentilesAggregationReq> { pub(crate) fn as_percentile(&self) -> Option<&PercentilesAggregationReq> {
match &self { match &self {

198
src/aggregation/agg_req_with_accessor.rs
View File

@@ -1,9 +1,6 @@
//! This will enhance the request tree with access to the fastfield and metadata. //! This will enhance the request tree with access to the fastfield and metadata.
use std::collections::HashMap; use columnar::{Column, ColumnBlockAccessor, ColumnType, StrColumn};
use std::io;
use columnar::{Column, ColumnBlockAccessor, ColumnType, DynamicColumn, StrColumn};
use super::agg_limits::ResourceLimitGuard; use super::agg_limits::ResourceLimitGuard;
use super::agg_req::{Aggregation, AggregationVariants, Aggregations}; use super::agg_req::{Aggregation, AggregationVariants, Aggregations};
@@ -11,14 +8,13 @@ use super::bucket::{
DateHistogramAggregationReq, HistogramAggregation, RangeAggregation, TermsAggregation, DateHistogramAggregationReq, HistogramAggregation, RangeAggregation, TermsAggregation,
}; };
use super::metric::{ use super::metric::{
AverageAggregation, CountAggregation, ExtendedStatsAggregation, MaxAggregation, MinAggregation, AverageAggregation, CountAggregation, MaxAggregation, MinAggregation, StatsAggregation,
StatsAggregation, SumAggregation, SumAggregation,
}; };
use super::segment_agg_result::AggregationLimits; use super::segment_agg_result::AggregationLimits;
use super::VecWithNames; use super::VecWithNames;
use crate::aggregation::{f64_to_fastfield_u64, Key}; use crate::aggregation::{f64_to_fastfield_u64, Key};
use crate::index::SegmentReader; use crate::SegmentReader;
use crate::SegmentOrdinal;
#[derive(Default)] #[derive(Default)]
pub(crate) struct AggregationsWithAccessor { pub(crate) struct AggregationsWithAccessor {
@@ -36,7 +32,6 @@ impl AggregationsWithAccessor {
} }
pub struct AggregationWithAccessor { pub struct AggregationWithAccessor {
pub(crate) segment_ordinal: SegmentOrdinal,
/// In general there can be buckets without fast field access, e.g. buckets that are created /// In general there can be buckets without fast field access, e.g. buckets that are created
/// based on search terms. That is not that case currently, but eventually this needs to be /// based on search terms. That is not that case currently, but eventually this needs to be
/// Option or moved. /// Option or moved.
@@ -49,16 +44,10 @@ pub struct AggregationWithAccessor {
pub(crate) limits: ResourceLimitGuard, pub(crate) limits: ResourceLimitGuard,
pub(crate) column_block_accessor: ColumnBlockAccessor<u64>, pub(crate) column_block_accessor: ColumnBlockAccessor<u64>,
/// Used for missing term aggregation, which checks all columns for existence. /// Used for missing term aggregation, which checks all columns for existence.
/// And also for `top_hits` aggregation, which may sort on multiple fields.
/// By convention the missing aggregation is chosen, when this property is set /// By convention the missing aggregation is chosen, when this property is set
/// (instead bein set in `agg`). /// (instead bein set in `agg`).
/// If this needs to used by other aggregations, we need to refactor this. /// If this needs to used by other aggregations, we need to refactor this.
// NOTE: we can make all other aggregations use this instead of the `accessor` and `field_type` pub(crate) accessors: Vec<Column<u64>>,
// (making them obsolete) But will it have a performance impact?
pub(crate) accessors: Vec<(Column<u64>, ColumnType)>,
/// Map field names to all associated column accessors.
/// This field is used for `docvalue_fields`, which is currently only supported for `top_hits`.
pub(crate) value_accessors: HashMap<String, Vec<DynamicColumn>>,
pub(crate) agg: Aggregation, pub(crate) agg: Aggregation,
} }
@@ -68,55 +57,19 @@ impl AggregationWithAccessor {
agg: &Aggregation, agg: &Aggregation,
sub_aggregation: &Aggregations, sub_aggregation: &Aggregations,
reader: &SegmentReader, reader: &SegmentReader,
segment_ordinal: SegmentOrdinal,
limits: AggregationLimits, limits: AggregationLimits,
) -> crate::Result<Vec<AggregationWithAccessor>> { ) -> crate::Result<Vec<AggregationWithAccessor>> {
let mut agg = agg.clone(); let add_agg_with_accessor = |accessor: Column<u64>,
let add_agg_with_accessor = |agg: &Aggregation,
accessor: Column<u64>,
column_type: ColumnType, column_type: ColumnType,
aggs: &mut Vec<AggregationWithAccessor>| aggs: &mut Vec<AggregationWithAccessor>|
-> crate::Result<()> { -> crate::Result<()> {
let res = AggregationWithAccessor { let res = AggregationWithAccessor {
segment_ordinal,
accessor, accessor,
accessors: Default::default(), accessors: Vec::new(),
value_accessors: Default::default(),
field_type: column_type, field_type: column_type,
sub_aggregation: get_aggs_with_segment_accessor_and_validate( sub_aggregation: get_aggs_with_segment_accessor_and_validate(
sub_aggregation, sub_aggregation,
reader, reader,
segment_ordinal,
&limits,
)?,
agg: agg.clone(),
limits: limits.new_guard(),
missing_value_for_accessor: None,
str_dict_column: None,
column_block_accessor: Default::default(),
};
aggs.push(res);
Ok(())
};
let add_agg_with_accessors = |agg: &Aggregation,
accessors: Vec<(Column<u64>, ColumnType)>,
aggs: &mut Vec<AggregationWithAccessor>,
value_accessors: HashMap<String, Vec<DynamicColumn>>|
-> crate::Result<()> {
let (accessor, field_type) = accessors.first().expect("at least one accessor");
let res = AggregationWithAccessor {
segment_ordinal,
// TODO: We should do away with the `accessor` field altogether
accessor: accessor.clone(),
value_accessors,
field_type: *field_type,
accessors,
sub_aggregation: get_aggs_with_segment_accessor_and_validate(
sub_aggregation,
reader,
segment_ordinal,
&limits, &limits,
)?, )?,
agg: agg.clone(), agg: agg.clone(),
@@ -131,36 +84,32 @@ impl AggregationWithAccessor {
let mut res: Vec<AggregationWithAccessor> = Vec::new(); let mut res: Vec<AggregationWithAccessor> = Vec::new();
use AggregationVariants::*; use AggregationVariants::*;
match &agg.agg {
match agg.agg {
Range(RangeAggregation { Range(RangeAggregation {
field: ref field_name, field: field_name, ..
..
}) => { }) => {
let (accessor, column_type) = let (accessor, column_type) =
get_ff_reader(reader, field_name, Some(get_numeric_or_date_column_types()))?; get_ff_reader(reader, field_name, Some(get_numeric_or_date_column_types()))?;
add_agg_with_accessor(&agg, accessor, column_type, &mut res)?; add_agg_with_accessor(accessor, column_type, &mut res)?;
} }
Histogram(HistogramAggregation { Histogram(HistogramAggregation {
field: ref field_name, field: field_name, ..
..
}) => { }) => {
let (accessor, column_type) = let (accessor, column_type) =
get_ff_reader(reader, field_name, Some(get_numeric_or_date_column_types()))?; get_ff_reader(reader, field_name, Some(get_numeric_or_date_column_types()))?;
add_agg_with_accessor(&agg, accessor, column_type, &mut res)?; add_agg_with_accessor(accessor, column_type, &mut res)?;
} }
DateHistogram(DateHistogramAggregationReq { DateHistogram(DateHistogramAggregationReq {
field: ref field_name, field: field_name, ..
..
}) => { }) => {
let (accessor, column_type) = let (accessor, column_type) =
// Only DateTime is supported for DateHistogram // Only DateTime is supported for DateHistogram
get_ff_reader(reader, field_name, Some(&[ColumnType::DateTime]))?; get_ff_reader(reader, field_name, Some(&[ColumnType::DateTime]))?;
add_agg_with_accessor(&agg, accessor, column_type, &mut res)?; add_agg_with_accessor(accessor, column_type, &mut res)?;
} }
Terms(TermsAggregation { Terms(TermsAggregation {
field: ref field_name, field: field_name,
ref missing, missing,
.. ..
}) => { }) => {
let str_dict_column = reader.fast_fields().str(field_name)?; let str_dict_column = reader.fast_fields().str(field_name)?;
@@ -170,9 +119,9 @@ impl AggregationWithAccessor {
ColumnType::F64, ColumnType::F64,
ColumnType::Str, ColumnType::Str,
ColumnType::DateTime, ColumnType::DateTime,
ColumnType::Bool,
ColumnType::IpAddr,
// ColumnType::Bytes Unsupported // ColumnType::Bytes Unsupported
// ColumnType::Bool Unsupported
// ColumnType::IpAddr Unsupported
]; ];
// In case the column is empty we want the shim column to match the missing type // In case the column is empty we want the shim column to match the missing type
@@ -213,11 +162,24 @@ impl AggregationWithAccessor {
let column_and_types = let column_and_types =
get_all_ff_reader_or_empty(reader, field_name, None, fallback_type)?; get_all_ff_reader_or_empty(reader, field_name, None, fallback_type)?;
let accessors = column_and_types let accessors: Vec<Column> =
.iter() column_and_types.iter().map(|(a, _)| a.clone()).collect();
.map(|c_t| (c_t.0.clone(), c_t.1)) let agg_wit_acc = AggregationWithAccessor {
.collect(); missing_value_for_accessor: None,
add_agg_with_accessors(&agg, accessors, &mut res, Default::default())?; accessor: accessors[0].clone(),
accessors,
field_type: ColumnType::U64,
sub_aggregation: get_aggs_with_segment_accessor_and_validate(
sub_aggregation,
reader,
&limits,
)?,
agg: agg.clone(),
str_dict_column: str_dict_column.clone(),
limits: limits.new_guard(),
column_block_accessor: Default::default(),
};
res.push(agg_wit_acc);
} }
for (accessor, column_type) in column_and_types { for (accessor, column_type) in column_and_types {
@@ -227,25 +189,21 @@ impl AggregationWithAccessor {
missing.clone() missing.clone()
}; };
let missing_value_for_accessor = if let Some(missing) = let missing_value_for_accessor =
missing_value_term_agg.as_ref() if let Some(missing) = missing_value_term_agg.as_ref() {
{ get_missing_val(column_type, missing, agg.agg.get_fast_field_name())?
get_missing_val(column_type, missing, agg.agg.get_fast_field_names()[0])? } else {
} else { None
None };
};
let agg = AggregationWithAccessor { let agg = AggregationWithAccessor {
segment_ordinal,
missing_value_for_accessor, missing_value_for_accessor,
accessor, accessor,
accessors: Default::default(), accessors: Vec::new(),
value_accessors: Default::default(),
field_type: column_type, field_type: column_type,
sub_aggregation: get_aggs_with_segment_accessor_and_validate( sub_aggregation: get_aggs_with_segment_accessor_and_validate(
sub_aggregation, sub_aggregation,
reader, reader,
segment_ordinal,
&limits, &limits,
)?, )?,
agg: agg.clone(), agg: agg.clone(),
@@ -257,67 +215,34 @@ impl AggregationWithAccessor {
} }
} }
Average(AverageAggregation { Average(AverageAggregation {
field: ref field_name, field: field_name, ..
..
}) })
| Count(CountAggregation { | Count(CountAggregation {
field: ref field_name, field: field_name, ..
..
}) })
| Max(MaxAggregation { | Max(MaxAggregation {
field: ref field_name, field: field_name, ..
..
}) })
| Min(MinAggregation { | Min(MinAggregation {
field: ref field_name, field: field_name, ..
..
}) })
| Stats(StatsAggregation { | Stats(StatsAggregation {
field: ref field_name, field: field_name, ..
..
})
| ExtendedStats(ExtendedStatsAggregation {
field: ref field_name,
..
}) })
| Sum(SumAggregation { | Sum(SumAggregation {
field: ref field_name, field: field_name, ..
..
}) => { }) => {
let (accessor, column_type) = let (accessor, column_type) =
get_ff_reader(reader, field_name, Some(get_numeric_or_date_column_types()))?; get_ff_reader(reader, field_name, Some(get_numeric_or_date_column_types()))?;
add_agg_with_accessor(&agg, accessor, column_type, &mut res)?; add_agg_with_accessor(accessor, column_type, &mut res)?;
} }
Percentiles(ref percentiles) => { Percentiles(percentiles) => {
let (accessor, column_type) = get_ff_reader( let (accessor, column_type) = get_ff_reader(
reader, reader,
percentiles.field_name(), percentiles.field_name(),
Some(get_numeric_or_date_column_types()), Some(get_numeric_or_date_column_types()),
)?; )?;
add_agg_with_accessor(&agg, accessor, column_type, &mut res)?; add_agg_with_accessor(accessor, column_type, &mut res)?;
}
TopHits(ref mut top_hits) => {
top_hits.validate_and_resolve_field_names(reader.fast_fields().columnar())?;
let accessors: Vec<(Column<u64>, ColumnType)> = top_hits
.field_names()
.iter()
.map(|field| {
get_ff_reader(reader, field, Some(get_numeric_or_date_column_types()))
})
.collect::<crate::Result<_>>()?;
let value_accessors = top_hits
.value_field_names()
.iter()
.map(|field_name| {
Ok((
field_name.to_string(),
get_dynamic_columns(reader, field_name)?,
))
})
.collect::<crate::Result<_>>()?;
add_agg_with_accessors(&agg, accessors, &mut res, value_accessors)?;
} }
}; };
@@ -339,8 +264,8 @@ fn get_missing_val(
} }
_ => { _ => {
return Err(crate::TantivyError::InvalidArgument(format!( return Err(crate::TantivyError::InvalidArgument(format!(
"Missing value {missing:?} for field {field_name} is not supported for column \ "Missing value {:?} for field {} is not supported for column type {:?}",
type {column_type:?}" missing, field_name, column_type
))); )));
} }
}; };
@@ -359,7 +284,6 @@ fn get_numeric_or_date_column_types() -> &'static [ColumnType] {
pub(crate) fn get_aggs_with_segment_accessor_and_validate( pub(crate) fn get_aggs_with_segment_accessor_and_validate(
aggs: &Aggregations, aggs: &Aggregations,
reader: &SegmentReader, reader: &SegmentReader,
segment_ordinal: SegmentOrdinal,
limits: &AggregationLimits, limits: &AggregationLimits,
) -> crate::Result<AggregationsWithAccessor> { ) -> crate::Result<AggregationsWithAccessor> {
let mut aggss = Vec::new(); let mut aggss = Vec::new();
@@ -368,7 +292,6 @@ pub(crate) fn get_aggs_with_segment_accessor_and_validate(
agg, agg,
agg.sub_aggregation(), agg.sub_aggregation(),
reader, reader,
segment_ordinal,
limits.clone(), limits.clone(),
)?; )?;
for agg in aggs { for agg in aggs {
@@ -398,19 +321,6 @@ fn get_ff_reader(
Ok(ff_field_with_type) Ok(ff_field_with_type)
} }
fn get_dynamic_columns(
reader: &SegmentReader,
field_name: &str,
) -> crate::Result<Vec<columnar::DynamicColumn>> {
let ff_fields = reader.fast_fields().dynamic_column_handles(field_name)?;
let cols = ff_fields
.iter()
.map(|h| h.open())
.collect::<io::Result<_>>()?;
assert!(!ff_fields.is_empty(), "field {field_name} not found");
Ok(cols)
}
/// Get all fast field reader or empty as default. /// Get all fast field reader or empty as default.
/// ///
/// Is guaranteed to return at least one column. /// Is guaranteed to return at least one column.

14
src/aggregation/agg_result.rs
View File

@@ -8,9 +8,7 @@ use rustc_hash::FxHashMap;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use super::bucket::GetDocCount; use super::bucket::GetDocCount;
use super::metric::{ use super::metric::{PercentilesMetricResult, SingleMetricResult, Stats};
ExtendedStats, PercentilesMetricResult, SingleMetricResult, Stats, TopHitsMetricResult,
};
use super::{AggregationError, Key}; use super::{AggregationError, Key};
use crate::TantivyError; use crate::TantivyError;
@@ -90,14 +88,10 @@ pub enum MetricResult {
Min(SingleMetricResult), Min(SingleMetricResult),
/// Stats metric result. /// Stats metric result.
Stats(Stats), Stats(Stats),
/// ExtendedStats metric result.
ExtendedStats(Box<ExtendedStats>),
/// Sum metric result. /// Sum metric result.
Sum(SingleMetricResult), Sum(SingleMetricResult),
/// Percentiles metric result. /// Sum metric result.
Percentiles(PercentilesMetricResult), Percentiles(PercentilesMetricResult),
/// Top hits metric result
TopHits(TopHitsMetricResult),
} }
impl MetricResult { impl MetricResult {
@@ -108,14 +102,10 @@ impl MetricResult {
MetricResult::Max(max) => Ok(max.value), MetricResult::Max(max) => Ok(max.value),
MetricResult::Min(min) => Ok(min.value), MetricResult::Min(min) => Ok(min.value),
MetricResult::Stats(stats) => stats.get_value(agg_property), MetricResult::Stats(stats) => stats.get_value(agg_property),
MetricResult::ExtendedStats(extended_stats) => extended_stats.get_value(agg_property),
MetricResult::Sum(sum) => Ok(sum.value), MetricResult::Sum(sum) => Ok(sum.value),
MetricResult::Percentiles(_) => Err(TantivyError::AggregationError( MetricResult::Percentiles(_) => Err(TantivyError::AggregationError(
AggregationError::InvalidRequest("percentiles can't be used to order".to_string()), AggregationError::InvalidRequest("percentiles can't be used to order".to_string()),
)), )),
MetricResult::TopHits(_) => Err(TantivyError::AggregationError(
AggregationError::InvalidRequest("top_hits can't be used to order".to_string()),
)),
} }
} }
} }

69
src/aggregation/agg_tests.rs
View File

@@ -4,7 +4,6 @@ use crate::aggregation::agg_req::{Aggregation, Aggregations};
use crate::aggregation::agg_result::AggregationResults; use crate::aggregation::agg_result::AggregationResults;
use crate::aggregation::buf_collector::DOC_BLOCK_SIZE; use crate::aggregation::buf_collector::DOC_BLOCK_SIZE;
use crate::aggregation::collector::AggregationCollector; use crate::aggregation::collector::AggregationCollector;
use crate::aggregation::intermediate_agg_result::IntermediateAggregationResults;
use crate::aggregation::segment_agg_result::AggregationLimits; use crate::aggregation::segment_agg_result::AggregationLimits;
use crate::aggregation::tests::{get_test_index_2_segments, get_test_index_from_values_and_terms}; use crate::aggregation::tests::{get_test_index_2_segments, get_test_index_from_values_and_terms};
use crate::aggregation::DistributedAggregationCollector; use crate::aggregation::DistributedAggregationCollector;
@@ -67,22 +66,6 @@ fn test_aggregation_flushing(
} }
} }
}, },
"top_hits_test":{
"terms": {
"field": "string_id"
},
"aggs": {
"bucketsL2": {
"top_hits": {
"size": 2,
"sort": [
{ "score": "asc" }
],
"docvalue_fields": ["score"]
}
}
}
},
"histogram_test":{ "histogram_test":{
"histogram": { "histogram": {
"field": "score", "field": "score",
@@ -125,16 +108,6 @@ fn test_aggregation_flushing(
let searcher = reader.searcher(); let searcher = reader.searcher();
let intermediate_agg_result = searcher.search(&AllQuery, &collector).unwrap(); let intermediate_agg_result = searcher.search(&AllQuery, &collector).unwrap();
// Test postcard roundtrip serialization
let intermediate_agg_result_bytes = postcard::to_allocvec(&intermediate_agg_result).expect(
"Postcard Serialization failed, flatten etc. is not supported in the intermediate \
result",
);
let intermediate_agg_result: IntermediateAggregationResults =
postcard::from_bytes(&intermediate_agg_result_bytes)
.expect("Post deserialization failed");
intermediate_agg_result intermediate_agg_result
.into_final_result(agg_req, &Default::default()) .into_final_result(agg_req, &Default::default())
.unwrap() .unwrap()
@@ -614,9 +587,6 @@ fn test_aggregation_on_json_object() {
let schema = schema_builder.build(); let schema = schema_builder.build();
let index = Index::create_in_ram(schema); let index = Index::create_in_ram(schema);
let mut index_writer: IndexWriter = index.writer_for_tests().unwrap(); let mut index_writer: IndexWriter = index.writer_for_tests().unwrap();
index_writer
.add_document(doc!(json => json!({"color": "red"})))
.unwrap();
index_writer index_writer
.add_document(doc!(json => json!({"color": "red"}))) .add_document(doc!(json => json!({"color": "red"})))
.unwrap(); .unwrap();
@@ -644,8 +614,8 @@ fn test_aggregation_on_json_object() {
&serde_json::json!({ &serde_json::json!({
"jsonagg": { "jsonagg": {
"buckets": [ "buckets": [
{"doc_count": 2, "key": "red"},
{"doc_count": 1, "key": "blue"}, {"doc_count": 1, "key": "blue"},
{"doc_count": 1, "key": "red"}
], ],
"doc_count_error_upper_bound": 0, "doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0 "sum_other_doc_count": 0
@@ -667,9 +637,6 @@ fn test_aggregation_on_nested_json_object() {
index_writer index_writer
.add_document(doc!(json => json!({"color.dot": "blue", "color": {"nested":"blue"} }))) .add_document(doc!(json => json!({"color.dot": "blue", "color": {"nested":"blue"} })))
.unwrap(); .unwrap();
index_writer
.add_document(doc!(json => json!({"color.dot": "blue", "color": {"nested":"blue"} })))
.unwrap();
index_writer.commit().unwrap(); index_writer.commit().unwrap();
let reader = index.reader().unwrap(); let reader = index.reader().unwrap();
let searcher = reader.searcher(); let searcher = reader.searcher();
@@ -697,7 +664,7 @@ fn test_aggregation_on_nested_json_object() {
&serde_json::json!({ &serde_json::json!({
"jsonagg1": { "jsonagg1": {
"buckets": [ "buckets": [
{"doc_count": 2, "key": "blue"}, {"doc_count": 1, "key": "blue"},
{"doc_count": 1, "key": "red"} {"doc_count": 1, "key": "red"}
], ],
"doc_count_error_upper_bound": 0, "doc_count_error_upper_bound": 0,
@@ -705,7 +672,7 @@ fn test_aggregation_on_nested_json_object() {
}, },
"jsonagg2": { "jsonagg2": {
"buckets": [ "buckets": [
{"doc_count": 2, "key": "blue"}, {"doc_count": 1, "key": "blue"},
{"doc_count": 1, "key": "red"} {"doc_count": 1, "key": "red"}
], ],
"doc_count_error_upper_bound": 0, "doc_count_error_upper_bound": 0,
@@ -843,38 +810,29 @@ fn test_aggregation_on_json_object_mixed_types() {
let mut index_writer: IndexWriter = index.writer_for_tests().unwrap(); let mut index_writer: IndexWriter = index.writer_for_tests().unwrap();
// => Segment with all values numeric // => Segment with all values numeric
index_writer index_writer
.add_document(doc!(json => json!({"mixed_type": 10.0, "mixed_price": 10.0}))) .add_document(doc!(json => json!({"mixed_type": 10.0})))
.unwrap(); .unwrap();
index_writer.commit().unwrap(); index_writer.commit().unwrap();
// => Segment with all values text // => Segment with all values text
index_writer index_writer
.add_document(doc!(json => json!({"mixed_type": "blue", "mixed_price": 5.0}))) .add_document(doc!(json => json!({"mixed_type": "blue"})))
.unwrap();
index_writer
.add_document(doc!(json => json!({"mixed_type": "blue", "mixed_price": 5.0})))
.unwrap();
index_writer
.add_document(doc!(json => json!({"mixed_type": "blue", "mixed_price": 5.0})))
.unwrap(); .unwrap();
index_writer.commit().unwrap(); index_writer.commit().unwrap();
// => Segment with all boolen // => Segment with all boolen
index_writer index_writer
.add_document(doc!(json => json!({"mixed_type": true, "mixed_price": "no_price"}))) .add_document(doc!(json => json!({"mixed_type": true})))
.unwrap(); .unwrap();
index_writer.commit().unwrap(); index_writer.commit().unwrap();
// => Segment with mixed values // => Segment with mixed values
index_writer index_writer
.add_document(doc!(json => json!({"mixed_type": "red", "mixed_price": 1.0}))) .add_document(doc!(json => json!({"mixed_type": "red"})))
.unwrap(); .unwrap();
index_writer index_writer
.add_document(doc!(json => json!({"mixed_type": "red", "mixed_price": 1.0}))) .add_document(doc!(json => json!({"mixed_type": -20.5})))
.unwrap(); .unwrap();
index_writer index_writer
.add_document(doc!(json => json!({"mixed_type": -20.5, "mixed_price": -20.5}))) .add_document(doc!(json => json!({"mixed_type": true})))
.unwrap();
index_writer
.add_document(doc!(json => json!({"mixed_type": true, "mixed_price": "no_price"})))
.unwrap(); .unwrap();
index_writer.commit().unwrap(); index_writer.commit().unwrap();
@@ -888,7 +846,7 @@ fn test_aggregation_on_json_object_mixed_types() {
"order": { "min_price": "desc" } "order": { "min_price": "desc" }
}, },
"aggs": { "aggs": {
"min_price": { "min": { "field": "json.mixed_price" } } "min_price": { "min": { "field": "json.mixed_type" } }
} }
}, },
"rangeagg": { "rangeagg": {
@@ -912,7 +870,6 @@ fn test_aggregation_on_json_object_mixed_types() {
let aggregation_results = searcher.search(&AllQuery, &aggregation_collector).unwrap(); let aggregation_results = searcher.search(&AllQuery, &aggregation_collector).unwrap();
let aggregation_res_json = serde_json::to_value(aggregation_results).unwrap(); let aggregation_res_json = serde_json::to_value(aggregation_results).unwrap();
use pretty_assertions::assert_eq;
assert_eq!( assert_eq!(
&aggregation_res_json, &aggregation_res_json,
&serde_json::json!({ &serde_json::json!({
@@ -927,10 +884,10 @@ fn test_aggregation_on_json_object_mixed_types() {
"termagg": { "termagg": {
"buckets": [ "buckets": [
{ "doc_count": 1, "key": 10.0, "min_price": { "value": 10.0 } }, { "doc_count": 1, "key": 10.0, "min_price": { "value": 10.0 } },
{ "doc_count": 3, "key": "blue", "min_price": { "value": 5.0 } },
{ "doc_count": 2, "key": "red", "min_price": { "value": 1.0 } },
{ "doc_count": 1, "key": -20.5, "min_price": { "value": -20.5 } }, { "doc_count": 1, "key": -20.5, "min_price": { "value": -20.5 } },
{ "doc_count": 2, "key": 1.0, "key_as_string": "true", "min_price": { "value": null } }, // TODO bool is also not yet handled in aggregation
{ "doc_count": 1, "key": "blue", "min_price": { "value": null } },
{ "doc_count": 1, "key": "red", "min_price": { "value": null } },
], ],
"sum_other_doc_count": 0 "sum_other_doc_count": 0
} }

21
src/aggregation/bucket/histogram/date_histogram.rs
View File

@@ -1,7 +1,7 @@
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use super::{HistogramAggregation, HistogramBounds}; use super::{HistogramAggregation, HistogramBounds};
use crate::aggregation::*; use crate::aggregation::AggregationError;
/// DateHistogramAggregation is similar to `HistogramAggregation`, but it can only be used with date /// DateHistogramAggregation is similar to `HistogramAggregation`, but it can only be used with date
/// type. /// type.
@@ -307,7 +307,6 @@ pub mod tests {
) -> crate::Result<Index> { ) -> crate::Result<Index> {
let mut schema_builder = Schema::builder(); let mut schema_builder = Schema::builder();
schema_builder.add_date_field("date", FAST); schema_builder.add_date_field("date", FAST);
schema_builder.add_json_field("mixed", FAST);
schema_builder.add_text_field("text", FAST | STRING); schema_builder.add_text_field("text", FAST | STRING);
schema_builder.add_text_field("text2", FAST | STRING); schema_builder.add_text_field("text2", FAST | STRING);
let schema = schema_builder.build(); let schema = schema_builder.build();
@@ -352,10 +351,8 @@ pub mod tests {
let docs = vec![ let docs = vec![
vec![r#"{ "date": "2015-01-01T12:10:30Z", "text": "aaa" }"#], vec![r#"{ "date": "2015-01-01T12:10:30Z", "text": "aaa" }"#],
vec![r#"{ "date": "2015-01-01T11:11:30Z", "text": "bbb" }"#], vec![r#"{ "date": "2015-01-01T11:11:30Z", "text": "bbb" }"#],
vec![r#"{ "date": "2015-01-01T11:11:30Z", "text": "bbb" }"#],
vec![r#"{ "date": "2015-01-02T00:00:00Z", "text": "bbb" }"#], vec![r#"{ "date": "2015-01-02T00:00:00Z", "text": "bbb" }"#],
vec![r#"{ "date": "2015-01-06T00:00:00Z", "text": "ccc" }"#], vec![r#"{ "date": "2015-01-06T00:00:00Z", "text": "ccc" }"#],
vec![r#"{ "date": "2015-01-06T00:00:00Z", "text": "ccc" }"#],
]; ];
let index = get_test_index_from_docs(merge_segments, &docs).unwrap(); let index = get_test_index_from_docs(merge_segments, &docs).unwrap();
@@ -384,7 +381,7 @@ pub mod tests {
{ {
"key_as_string" : "2015-01-01T00:00:00Z", "key_as_string" : "2015-01-01T00:00:00Z",
"key" : 1420070400000.0, "key" : 1420070400000.0,
"doc_count" : 6 "doc_count" : 4
} }
] ]
} }
@@ -422,15 +419,15 @@ pub mod tests {
{ {
"key_as_string" : "2015-01-01T00:00:00Z", "key_as_string" : "2015-01-01T00:00:00Z",
"key" : 1420070400000.0, "key" : 1420070400000.0,
"doc_count" : 6, "doc_count" : 4,
"texts": { "texts": {
"buckets": [ "buckets": [
{ {
"doc_count": 3, "doc_count": 2,
"key": "bbb" "key": "bbb"
}, },
{ {
"doc_count": 2, "doc_count": 1,
"key": "ccc" "key": "ccc"
}, },
{ {
@@ -469,7 +466,7 @@ pub mod tests {
"sales_over_time": { "sales_over_time": {
"buckets": [ "buckets": [
{ {
"doc_count": 3, "doc_count": 2,
"key": 1420070400000.0, "key": 1420070400000.0,
"key_as_string": "2015-01-01T00:00:00Z" "key_as_string": "2015-01-01T00:00:00Z"
}, },
@@ -494,7 +491,7 @@ pub mod tests {
"key_as_string": "2015-01-05T00:00:00Z" "key_as_string": "2015-01-05T00:00:00Z"
}, },
{ {
"doc_count": 2, "doc_count": 1,
"key": 1420502400000.0, "key": 1420502400000.0,
"key_as_string": "2015-01-06T00:00:00Z" "key_as_string": "2015-01-06T00:00:00Z"
} }
@@ -535,7 +532,7 @@ pub mod tests {
"key_as_string": "2014-12-31T00:00:00Z" "key_as_string": "2014-12-31T00:00:00Z"
}, },
{ {
"doc_count": 3, "doc_count": 2,
"key": 1420070400000.0, "key": 1420070400000.0,
"key_as_string": "2015-01-01T00:00:00Z" "key_as_string": "2015-01-01T00:00:00Z"
}, },
@@ -560,7 +557,7 @@ pub mod tests {
"key_as_string": "2015-01-05T00:00:00Z" "key_as_string": "2015-01-05T00:00:00Z"
}, },
{ {
"doc_count": 2, "doc_count": 1,
"key": 1420502400000.0, "key": 1420502400000.0,
"key_as_string": "2015-01-06T00:00:00Z" "key_as_string": "2015-01-06T00:00:00Z"
}, },

54
src/aggregation/bucket/histogram/histogram.rs
View File

@@ -1,5 +1,8 @@
use std::cmp::Ordering; use std::cmp::Ordering;
use std::fmt::Display;
use columnar::ColumnType;
use itertools::Itertools;
use rustc_hash::FxHashMap; use rustc_hash::FxHashMap;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use tantivy_bitpacker::minmax; use tantivy_bitpacker::minmax;
@@ -15,9 +18,9 @@ use crate::aggregation::intermediate_agg_result::{
IntermediateHistogramBucketEntry, IntermediateHistogramBucketEntry,
}; };
use crate::aggregation::segment_agg_result::{ use crate::aggregation::segment_agg_result::{
build_segment_agg_collector, SegmentAggregationCollector, build_segment_agg_collector, AggregationLimits, SegmentAggregationCollector,
}; };
use crate::aggregation::*; use crate::aggregation::{f64_from_fastfield_u64, format_date};
use crate::TantivyError; use crate::TantivyError;
/// Histogram is a bucket aggregation, where buckets are created dynamically for given `interval`. /// Histogram is a bucket aggregation, where buckets are created dynamically for given `interval`.
@@ -70,7 +73,6 @@ pub struct HistogramAggregation {
pub field: String, pub field: String,
/// The interval to chunk your data range. Each bucket spans a value range of [0..interval). /// The interval to chunk your data range. Each bucket spans a value range of [0..interval).
/// Must be a positive value. /// Must be a positive value.
#[serde(deserialize_with = "deserialize_f64")]
pub interval: f64, pub interval: f64,
/// Intervals implicitly defines an absolute grid of buckets `[interval * k, interval * (k + /// Intervals implicitly defines an absolute grid of buckets `[interval * k, interval * (k +
/// 1))`. /// 1))`.
@@ -83,7 +85,6 @@ pub struct HistogramAggregation {
/// fall into the buckets with the key 0 and 10. /// fall into the buckets with the key 0 and 10.
/// With offset 5 and interval 10, they would both fall into the bucket with they key 5 and the /// With offset 5 and interval 10, they would both fall into the bucket with they key 5 and the
/// range [5..15) /// range [5..15)
#[serde(default, deserialize_with = "deserialize_option_f64")]
pub offset: Option<f64>, pub offset: Option<f64>,
/// The minimum number of documents in a bucket to be returned. Defaults to 0. /// The minimum number of documents in a bucket to be returned. Defaults to 0.
pub min_doc_count: Option<u64>, pub min_doc_count: Option<u64>,
@@ -307,10 +308,7 @@ impl SegmentAggregationCollector for SegmentHistogramCollector {
.column_block_accessor .column_block_accessor
.fetch_block(docs, &bucket_agg_accessor.accessor); .fetch_block(docs, &bucket_agg_accessor.accessor);
for (doc, val) in bucket_agg_accessor for (doc, val) in bucket_agg_accessor.column_block_accessor.iter_docid_vals() {
.column_block_accessor
.iter_docid_vals(docs, &bucket_agg_accessor.accessor)
{
let val = self.f64_from_fastfield_u64(val); let val = self.f64_from_fastfield_u64(val);
let bucket_pos = get_bucket_pos(val); let bucket_pos = get_bucket_pos(val);
@@ -331,11 +329,9 @@ impl SegmentAggregationCollector for SegmentHistogramCollector {
} }
let mem_delta = self.get_memory_consumption() - mem_pre; let mem_delta = self.get_memory_consumption() - mem_pre;
if mem_delta > 0 { bucket_agg_accessor
bucket_agg_accessor .limits
.limits .add_memory_consumed(mem_delta as u64)?;
.add_memory_consumed(mem_delta as u64)?;
}
Ok(()) Ok(())
} }
@@ -599,12 +595,11 @@ mod tests {
use serde_json::Value; use serde_json::Value;
use super::*; use super::*;
use crate::aggregation::agg_result::AggregationResults; use crate::aggregation::agg_req::Aggregations;
use crate::aggregation::tests::{ use crate::aggregation::tests::{
exec_request, exec_request_with_query, exec_request_with_query_and_memory_limit, exec_request, exec_request_with_query, exec_request_with_query_and_memory_limit,
get_test_index_2_segments, get_test_index_from_values, get_test_index_with_num_docs, get_test_index_2_segments, get_test_index_from_values, get_test_index_with_num_docs,
}; };
use crate::query::AllQuery;
#[test] #[test]
fn histogram_test_crooked_values() -> crate::Result<()> { fn histogram_test_crooked_values() -> crate::Result<()> {
@@ -1356,35 +1351,6 @@ mod tests {
}) })
); );
Ok(())
}
#[test]
fn test_aggregation_histogram_empty_index() -> crate::Result<()> {
// test index without segments
let values = vec![];
let index = get_test_index_from_values(false, &values)?;
let agg_req_1: Aggregations = serde_json::from_value(json!({
"myhisto": {
"histogram": {
"field": "score",
"interval": 10.0
},
}
}))
.unwrap();
let collector = AggregationCollector::from_aggs(agg_req_1, Default::default());
let reader = index.reader()?;
let searcher = reader.searcher();
let agg_res: AggregationResults = searcher.search(&AllQuery, &collector).unwrap();
let res: Value = serde_json::from_str(&serde_json::to_string(&agg_res)?)?;
// Make sure the result structure is correct
assert_eq!(res["myhisto"]["buckets"].as_array().unwrap().len(), 0);
Ok(()) Ok(())
} }
} }

11
src/aggregation/bucket/mod.rs
View File

@@ -28,7 +28,6 @@ mod term_agg;
mod term_missing_agg; mod term_missing_agg;
use std::collections::HashMap; use std::collections::HashMap;
use std::fmt;
pub use histogram::*; pub use histogram::*;
pub use range::*; pub use range::*;
@@ -73,12 +72,12 @@ impl From<&str> for OrderTarget {
} }
} }
impl fmt::Display for OrderTarget { impl ToString for OrderTarget {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { fn to_string(&self) -> String {
match self { match self {
OrderTarget::Key => f.write_str("_key"), OrderTarget::Key => "_key".to_string(),
OrderTarget::Count => f.write_str("_count"), OrderTarget::Count => "_count".to_string(),
OrderTarget::SubAggregation(agg) => agg.fmt(f), OrderTarget::SubAggregation(agg) => agg.to_string(),
} }
} }
} }

24
src/aggregation/bucket/range.rs
View File

@@ -1,6 +1,7 @@
use std::fmt::Debug; use std::fmt::Debug;
use std::ops::Range; use std::ops::Range;
use columnar::{ColumnType, MonotonicallyMappableToU64};
use rustc_hash::FxHashMap; use rustc_hash::FxHashMap;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
@@ -13,7 +14,9 @@ use crate::aggregation::intermediate_agg_result::{
use crate::aggregation::segment_agg_result::{ use crate::aggregation::segment_agg_result::{
build_segment_agg_collector, SegmentAggregationCollector, build_segment_agg_collector, SegmentAggregationCollector,
}; };
use crate::aggregation::*; use crate::aggregation::{
f64_from_fastfield_u64, f64_to_fastfield_u64, format_date, Key, SerializedKey,
};
use crate::TantivyError; use crate::TantivyError;
/// Provide user-defined buckets to aggregate on. /// Provide user-defined buckets to aggregate on.
@@ -69,19 +72,11 @@ pub struct RangeAggregationRange {
pub key: Option<String>, pub key: Option<String>,
/// The from range value, which is inclusive in the range. /// The from range value, which is inclusive in the range.
/// `None` equals to an open ended interval. /// `None` equals to an open ended interval.
#[serde( #[serde(skip_serializing_if = "Option::is_none", default)]
skip_serializing_if = "Option::is_none",
default,
deserialize_with = "deserialize_option_f64"
)]
pub from: Option<f64>, pub from: Option<f64>,
/// The to range value, which is not inclusive in the range. /// The to range value, which is not inclusive in the range.
/// `None` equals to an open ended interval. /// `None` equals to an open ended interval.
#[serde( #[serde(skip_serializing_if = "Option::is_none", default)]
skip_serializing_if = "Option::is_none",
default,
deserialize_with = "deserialize_option_f64"
)]
pub to: Option<f64>, pub to: Option<f64>,
} }
@@ -235,10 +230,7 @@ impl SegmentAggregationCollector for SegmentRangeCollector {
.column_block_accessor .column_block_accessor
.fetch_block(docs, &bucket_agg_accessor.accessor); .fetch_block(docs, &bucket_agg_accessor.accessor);
for (doc, val) in bucket_agg_accessor for (doc, val) in bucket_agg_accessor.column_block_accessor.iter_docid_vals() {
.column_block_accessor
.iter_docid_vals(docs, &bucket_agg_accessor.accessor)
{
let bucket_pos = self.get_bucket_pos(val); let bucket_pos = self.get_bucket_pos(val);
let bucket = &mut self.buckets[bucket_pos]; let bucket = &mut self.buckets[bucket_pos];
@@ -449,6 +441,7 @@ pub(crate) fn range_to_key(range: &Range<u64>, field_type: &ColumnType) -> crate
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use columnar::MonotonicallyMappableToU64;
use serde_json::Value; use serde_json::Value;
use super::*; use super::*;
@@ -457,6 +450,7 @@ mod tests {
exec_request, exec_request_with_query, get_test_index_2_segments, exec_request, exec_request_with_query, get_test_index_2_segments,
get_test_index_with_num_docs, get_test_index_with_num_docs,
}; };
use crate::aggregation::AggregationLimits;
pub fn get_collector_from_ranges( pub fn get_collector_from_ranges(
ranges: Vec<RangeAggregationRange>, ranges: Vec<RangeAggregationRange>,

171
src/aggregation/bucket/term_agg.rs
View File

@@ -1,10 +1,6 @@
use std::fmt::Debug; use std::fmt::Debug;
use std::net::Ipv6Addr;
use columnar::column_values::CompactSpaceU64Accessor; use columnar::{BytesColumn, ColumnType, MonotonicallyMappableToU64, StrColumn};
use columnar::{
BytesColumn, ColumnType, MonotonicallyMappableToU128, MonotonicallyMappableToU64, StrColumn,
};
use rustc_hash::FxHashMap; use rustc_hash::FxHashMap;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
@@ -103,14 +99,23 @@ pub struct TermsAggregation {
#[serde(skip_serializing_if = "Option::is_none", default)] #[serde(skip_serializing_if = "Option::is_none", default)]
pub size: Option<u32>, pub size: Option<u32>,
/// To get more accurate results, we fetch more than `size` from each segment. /// Unused by tantivy.
///
/// Since tantivy doesn't know shards, this parameter is merely there to be used by consumers
/// of tantivy. shard_size is the number of terms returned by each shard.
/// The default value in elasticsearch is size * 1.5 + 10.
///
/// Should never be smaller than size.
#[serde(skip_serializing_if = "Option::is_none", default)]
#[serde(alias = "shard_size")]
pub split_size: Option<u32>,
/// The get more accurate results, we fetch more than `size` from each segment.
/// ///
/// Increasing this value is will increase the cost for more accuracy. /// Increasing this value is will increase the cost for more accuracy.
/// ///
/// Defaults to 10 * size. /// Defaults to 10 * size.
#[serde(skip_serializing_if = "Option::is_none", default)] #[serde(skip_serializing_if = "Option::is_none", default)]
#[serde(alias = "shard_size")]
#[serde(alias = "split_size")]
pub segment_size: Option<u32>, pub segment_size: Option<u32>,
/// If you set the `show_term_doc_count_error` parameter to true, the terms aggregation will /// If you set the `show_term_doc_count_error` parameter to true, the terms aggregation will
@@ -251,7 +256,7 @@ pub struct SegmentTermCollector {
term_buckets: TermBuckets, term_buckets: TermBuckets,
req: TermsAggregationInternal, req: TermsAggregationInternal,
blueprint: Option<Box<dyn SegmentAggregationCollector>>, blueprint: Option<Box<dyn SegmentAggregationCollector>>,
column_type: ColumnType, field_type: ColumnType,
accessor_idx: usize, accessor_idx: usize,
} }
@@ -310,10 +315,7 @@ impl SegmentAggregationCollector for SegmentTermCollector {
} }
// has subagg // has subagg
if let Some(blueprint) = self.blueprint.as_ref() { if let Some(blueprint) = self.blueprint.as_ref() {
for (doc, term_id) in bucket_agg_accessor for (doc, term_id) in bucket_agg_accessor.column_block_accessor.iter_docid_vals() {
.column_block_accessor
.iter_docid_vals(docs, &bucket_agg_accessor.accessor)
{
let sub_aggregations = self let sub_aggregations = self
.term_buckets .term_buckets
.sub_aggs .sub_aggs
@@ -324,11 +326,9 @@ impl SegmentAggregationCollector for SegmentTermCollector {
} }
let mem_delta = self.get_memory_consumption() - mem_pre; let mem_delta = self.get_memory_consumption() - mem_pre;
if mem_delta > 0 { bucket_agg_accessor
bucket_agg_accessor .limits
.limits .add_memory_consumed(mem_delta as u64)?;
.add_memory_consumed(mem_delta as u64)?;
}
Ok(()) Ok(())
} }
@@ -355,9 +355,10 @@ impl SegmentTermCollector {
field_type: ColumnType, field_type: ColumnType,
accessor_idx: usize, accessor_idx: usize,
) -> crate::Result<Self> { ) -> crate::Result<Self> {
if field_type == ColumnType::Bytes { if field_type == ColumnType::Bytes || field_type == ColumnType::Bool {
return Err(TantivyError::InvalidArgument(format!( return Err(TantivyError::InvalidArgument(format!(
"terms aggregation is not supported for column type {field_type:?}" "terms aggregation is not supported for column type {:?}",
field_type
))); )));
} }
let term_buckets = TermBuckets::default(); let term_buckets = TermBuckets::default();
@@ -388,7 +389,7 @@ impl SegmentTermCollector {
req: TermsAggregationInternal::from_req(req), req: TermsAggregationInternal::from_req(req),
term_buckets, term_buckets,
blueprint, blueprint,
column_type: field_type, field_type,
accessor_idx, accessor_idx,
}) })
} }
@@ -465,7 +466,7 @@ impl SegmentTermCollector {
Ok(intermediate_entry) Ok(intermediate_entry)
}; };
if self.column_type == ColumnType::Str { if self.field_type == ColumnType::Str {
let term_dict = agg_with_accessor let term_dict = agg_with_accessor
.str_dict_column .str_dict_column
.as_ref() .as_ref()
@@ -530,55 +531,28 @@ impl SegmentTermCollector {
}); });
} }
} }
} else if self.column_type == ColumnType::DateTime { } else if self.field_type == ColumnType::DateTime {
for (val, doc_count) in entries { for (val, doc_count) in entries {
let intermediate_entry = into_intermediate_bucket_entry(val, doc_count)?; let intermediate_entry = into_intermediate_bucket_entry(val, doc_count)?;
let val = i64::from_u64(val); let val = i64::from_u64(val);
let date = format_date(val)?; let date = format_date(val)?;
dict.insert(IntermediateKey::Str(date), intermediate_entry); dict.insert(IntermediateKey::Str(date), intermediate_entry);
} }
} else if self.column_type == ColumnType::Bool {
for (val, doc_count) in entries {
let intermediate_entry = into_intermediate_bucket_entry(val, doc_count)?;
let val = bool::from_u64(val);
dict.insert(IntermediateKey::Bool(val), intermediate_entry);
}
} else if self.column_type == ColumnType::IpAddr {
let compact_space_accessor = agg_with_accessor
.accessor
.values
.clone()
.downcast_arc::<CompactSpaceU64Accessor>()
.map_err(|_| {
TantivyError::AggregationError(
crate::aggregation::AggregationError::InternalError(
"Type mismatch: Could not downcast to CompactSpaceU64Accessor"
.to_string(),
),
)
})?;
for (val, doc_count) in entries {
let intermediate_entry = into_intermediate_bucket_entry(val, doc_count)?;
let val: u128 = compact_space_accessor.compact_to_u128(val as u32);
let val = Ipv6Addr::from_u128(val);
dict.insert(IntermediateKey::IpAddr(val), intermediate_entry);
}
} else { } else {
for (val, doc_count) in entries { for (val, doc_count) in entries {
let intermediate_entry = into_intermediate_bucket_entry(val, doc_count)?; let intermediate_entry = into_intermediate_bucket_entry(val, doc_count)?;
let val = f64_from_fastfield_u64(val, &self.column_type); let val = f64_from_fastfield_u64(val, &self.field_type);
dict.insert(IntermediateKey::F64(val), intermediate_entry); dict.insert(IntermediateKey::F64(val), intermediate_entry);
} }
}; };
Ok(IntermediateBucketResult::Terms { Ok(IntermediateBucketResult::Terms(
buckets: IntermediateTermBucketResult { IntermediateTermBucketResult {
entries: dict, entries: dict,
sum_other_doc_count, sum_other_doc_count,
doc_count_error_upper_bound: term_doc_count_before_cutoff, doc_count_error_upper_bound: term_doc_count_before_cutoff,
}, },
}) ))
} }
} }
@@ -616,9 +590,6 @@ pub(crate) fn cut_off_buckets<T: GetDocCount + Debug>(
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use std::net::IpAddr;
use std::str::FromStr;
use common::DateTime; use common::DateTime;
use time::{Date, Month}; use time::{Date, Month};
@@ -629,7 +600,7 @@ mod tests {
}; };
use crate::aggregation::AggregationLimits; use crate::aggregation::AggregationLimits;
use crate::indexer::NoMergePolicy; use crate::indexer::NoMergePolicy;
use crate::schema::{IntoIpv6Addr, Schema, FAST, STRING}; use crate::schema::{Schema, FAST, STRING};
use crate::{Index, IndexWriter}; use crate::{Index, IndexWriter};
#[test] #[test]
@@ -1211,9 +1182,9 @@ mod tests {
assert_eq!(res["my_texts"]["buckets"][0]["key"], "terma"); assert_eq!(res["my_texts"]["buckets"][0]["key"], "terma");
assert_eq!(res["my_texts"]["buckets"][0]["doc_count"], 4); assert_eq!(res["my_texts"]["buckets"][0]["doc_count"], 4);
assert_eq!(res["my_texts"]["buckets"][1]["key"], "termb"); assert_eq!(res["my_texts"]["buckets"][1]["key"], "termc");
assert_eq!(res["my_texts"]["buckets"][1]["doc_count"], 0); assert_eq!(res["my_texts"]["buckets"][1]["doc_count"], 0);
assert_eq!(res["my_texts"]["buckets"][2]["key"], "termc"); assert_eq!(res["my_texts"]["buckets"][2]["key"], "termb");
assert_eq!(res["my_texts"]["buckets"][2]["doc_count"], 0); assert_eq!(res["my_texts"]["buckets"][2]["doc_count"], 0);
assert_eq!(res["my_texts"]["sum_other_doc_count"], 0); assert_eq!(res["my_texts"]["sum_other_doc_count"], 0);
assert_eq!(res["my_texts"]["doc_count_error_upper_bound"], 0); assert_eq!(res["my_texts"]["doc_count_error_upper_bound"], 0);
@@ -1394,7 +1365,7 @@ mod tests {
#[test] #[test]
fn terms_aggregation_different_tokenizer_on_ff_test() -> crate::Result<()> { fn terms_aggregation_different_tokenizer_on_ff_test() -> crate::Result<()> {
let terms = vec!["Hello Hello", "Hallo Hallo", "Hallo Hallo"]; let terms = vec!["Hello Hello", "Hallo Hallo"];
let index = get_test_index_from_terms(true, &[terms])?; let index = get_test_index_from_terms(true, &[terms])?;
@@ -1412,7 +1383,7 @@ mod tests {
println!("{}", serde_json::to_string_pretty(&res).unwrap()); println!("{}", serde_json::to_string_pretty(&res).unwrap());
assert_eq!(res["my_texts"]["buckets"][0]["key"], "Hallo Hallo"); assert_eq!(res["my_texts"]["buckets"][0]["key"], "Hallo Hallo");
assert_eq!(res["my_texts"]["buckets"][0]["doc_count"], 2); assert_eq!(res["my_texts"]["buckets"][0]["doc_count"], 1);
assert_eq!(res["my_texts"]["buckets"][1]["key"], "Hello Hello"); assert_eq!(res["my_texts"]["buckets"][1]["key"], "Hello Hello");
assert_eq!(res["my_texts"]["buckets"][1]["doc_count"], 1); assert_eq!(res["my_texts"]["buckets"][1]["doc_count"], 1);
@@ -1923,80 +1894,4 @@ mod tests {
Ok(()) Ok(())
} }
#[test]
fn terms_aggregation_bool() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
let field = schema_builder.add_bool_field("bool_field", FAST);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
{
let mut writer = index.writer_with_num_threads(1, 15_000_000)?;
writer.add_document(doc!(field=>true))?;
writer.add_document(doc!(field=>false))?;
writer.add_document(doc!(field=>true))?;
writer.commit()?;
}
let agg_req: Aggregations = serde_json::from_value(json!({
"my_bool": {
"terms": {
"field": "bool_field"
},
}
}))
.unwrap();
let res = exec_request_with_query(agg_req, &index, None)?;
assert_eq!(res["my_bool"]["buckets"][0]["key"], 1.0);
assert_eq!(res["my_bool"]["buckets"][0]["key_as_string"], "true");
assert_eq!(res["my_bool"]["buckets"][0]["doc_count"], 2);
assert_eq!(res["my_bool"]["buckets"][1]["key"], 0.0);
assert_eq!(res["my_bool"]["buckets"][1]["key_as_string"], "false");
assert_eq!(res["my_bool"]["buckets"][1]["doc_count"], 1);
assert_eq!(res["my_bool"]["buckets"][2]["key"], serde_json::Value::Null);
Ok(())
}
#[test]
fn terms_aggregation_ip_addr() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
let field = schema_builder.add_ip_addr_field("ip_field", FAST);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
{
let mut writer = index.writer_with_num_threads(1, 15_000_000)?;
// IpV6 loopback
writer.add_document(doc!(field=>IpAddr::from_str("::1").unwrap().into_ipv6_addr()))?;
writer.add_document(doc!(field=>IpAddr::from_str("::1").unwrap().into_ipv6_addr()))?;
// IpV4
writer.add_document(
doc!(field=>IpAddr::from_str("127.0.0.1").unwrap().into_ipv6_addr()),
)?;
writer.commit()?;
}
let agg_req: Aggregations = serde_json::from_value(json!({
"my_bool": {
"terms": {
"field": "ip_field"
},
}
}))
.unwrap();
let res = exec_request_with_query(agg_req, &index, None)?;
// print as json
// println!("{}", serde_json::to_string_pretty(&res).unwrap());
assert_eq!(res["my_bool"]["buckets"][0]["key"], "::1");
assert_eq!(res["my_bool"]["buckets"][0]["doc_count"], 2);
assert_eq!(res["my_bool"]["buckets"][1]["key"], "127.0.0.1");
assert_eq!(res["my_bool"]["buckets"][1]["doc_count"], 1);
assert_eq!(res["my_bool"]["buckets"][2]["key"], serde_json::Value::Null);
Ok(())
}
} }

17
src/aggregation/bucket/term_missing_agg.rs
View File

@@ -73,13 +73,11 @@ impl SegmentAggregationCollector for TermMissingAgg {
entries.insert(missing.into(), missing_entry); entries.insert(missing.into(), missing_entry);
let bucket = IntermediateBucketResult::Terms { let bucket = IntermediateBucketResult::Terms(IntermediateTermBucketResult {
buckets: IntermediateTermBucketResult { entries,
entries, sum_other_doc_count: 0,
sum_other_doc_count: 0, doc_count_error_upper_bound: 0,
doc_count_error_upper_bound: 0, });
},
};
results.push(name, IntermediateAggregationResult::Bucket(bucket))?; results.push(name, IntermediateAggregationResult::Bucket(bucket))?;
@@ -92,10 +90,7 @@ impl SegmentAggregationCollector for TermMissingAgg {
agg_with_accessor: &mut AggregationsWithAccessor, agg_with_accessor: &mut AggregationsWithAccessor,
) -> crate::Result<()> { ) -> crate::Result<()> {
let agg = &mut agg_with_accessor.aggs.values[self.accessor_idx]; let agg = &mut agg_with_accessor.aggs.values[self.accessor_idx];
let has_value = agg let has_value = agg.accessors.iter().any(|acc| acc.index.has_value(doc));
.accessors
.iter()
.any(|(acc, _)| acc.index.has_value(doc));
if !has_value { if !has_value {
self.missing_count += 1; self.missing_count += 1;
if let Some(sub_agg) = self.sub_agg.as_mut() { if let Some(sub_agg) = self.sub_agg.as_mut() {

24
src/aggregation/collector.rs
View File

@@ -8,8 +8,7 @@ use super::segment_agg_result::{
}; };
use crate::aggregation::agg_req_with_accessor::get_aggs_with_segment_accessor_and_validate; use crate::aggregation::agg_req_with_accessor::get_aggs_with_segment_accessor_and_validate;
use crate::collector::{Collector, SegmentCollector}; use crate::collector::{Collector, SegmentCollector};
use crate::index::SegmentReader; use crate::{DocId, SegmentReader, TantivyError};
use crate::{DocId, SegmentOrdinal, TantivyError};
/// The default max bucket count, before the aggregation fails. /// The default max bucket count, before the aggregation fails.
pub const DEFAULT_BUCKET_LIMIT: u32 = 65000; pub const DEFAULT_BUCKET_LIMIT: u32 = 65000;
@@ -65,15 +64,10 @@ impl Collector for DistributedAggregationCollector {
fn for_segment( fn for_segment(
&self, &self,
segment_local_id: crate::SegmentOrdinal, _segment_local_id: crate::SegmentOrdinal,
reader: &crate::SegmentReader, reader: &crate::SegmentReader,
) -> crate::Result<Self::Child> { ) -> crate::Result<Self::Child> {
AggregationSegmentCollector::from_agg_req_and_reader( AggregationSegmentCollector::from_agg_req_and_reader(&self.agg, reader, &self.limits)
&self.agg,
reader,
segment_local_id,
&self.limits,
)
} }
fn requires_scoring(&self) -> bool { fn requires_scoring(&self) -> bool {
@@ -95,15 +89,10 @@ impl Collector for AggregationCollector {
fn for_segment( fn for_segment(
&self, &self,
segment_local_id: crate::SegmentOrdinal, _segment_local_id: crate::SegmentOrdinal,
reader: &crate::SegmentReader, reader: &crate::SegmentReader,
) -> crate::Result<Self::Child> { ) -> crate::Result<Self::Child> {
AggregationSegmentCollector::from_agg_req_and_reader( AggregationSegmentCollector::from_agg_req_and_reader(&self.agg, reader, &self.limits)
&self.agg,
reader,
segment_local_id,
&self.limits,
)
} }
fn requires_scoring(&self) -> bool { fn requires_scoring(&self) -> bool {
@@ -146,11 +135,10 @@ impl AggregationSegmentCollector {
pub fn from_agg_req_and_reader( pub fn from_agg_req_and_reader(
agg: &Aggregations, agg: &Aggregations,
reader: &SegmentReader, reader: &SegmentReader,
segment_ordinal: SegmentOrdinal,
limits: &AggregationLimits, limits: &AggregationLimits,
) -> crate::Result<Self> { ) -> crate::Result<Self> {
let mut aggs_with_accessor = let mut aggs_with_accessor =
get_aggs_with_segment_accessor_and_validate(agg, reader, segment_ordinal, limits)?; get_aggs_with_segment_accessor_and_validate(agg, reader, limits)?;
let result = let result =
BufAggregationCollector::new(build_segment_agg_collector(&mut aggs_with_accessor)?); BufAggregationCollector::new(build_segment_agg_collector(&mut aggs_with_accessor)?);
Ok(AggregationSegmentCollector { Ok(AggregationSegmentCollector {

78
src/aggregation/intermediate_agg_result.rs
View File

@@ -5,7 +5,6 @@
use std::cmp::Ordering; use std::cmp::Ordering;
use std::collections::hash_map::Entry; use std::collections::hash_map::Entry;
use std::hash::Hash; use std::hash::Hash;
use std::net::Ipv6Addr;
use columnar::ColumnType; use columnar::ColumnType;
use itertools::Itertools; use itertools::Itertools;
@@ -19,8 +18,8 @@ use super::bucket::{
GetDocCount, Order, OrderTarget, RangeAggregation, TermsAggregation, GetDocCount, Order, OrderTarget, RangeAggregation, TermsAggregation,
}; };
use super::metric::{ use super::metric::{
IntermediateAverage, IntermediateCount, IntermediateExtendedStats, IntermediateMax, IntermediateAverage, IntermediateCount, IntermediateMax, IntermediateMin, IntermediateStats,
IntermediateMin, IntermediateStats, IntermediateSum, PercentilesCollector, TopHitsTopNComputer, IntermediateSum, PercentilesCollector,
}; };
use super::segment_agg_result::AggregationLimits; use super::segment_agg_result::AggregationLimits;
use super::{format_date, AggregationError, Key, SerializedKey}; use super::{format_date, AggregationError, Key, SerializedKey};
@@ -42,10 +41,6 @@ pub struct IntermediateAggregationResults {
/// This might seem redundant with `Key`, but the point is to have a different /// This might seem redundant with `Key`, but the point is to have a different
/// Serialize implementation. /// Serialize implementation.
pub enum IntermediateKey { pub enum IntermediateKey {
/// Ip Addr key
IpAddr(Ipv6Addr),
/// Bool key
Bool(bool),
/// String key /// String key
Str(String), Str(String),
/// `f64` key /// `f64` key
@@ -63,16 +58,7 @@ impl From<IntermediateKey> for Key {
fn from(value: IntermediateKey) -> Self { fn from(value: IntermediateKey) -> Self {
match value { match value {
IntermediateKey::Str(s) => Self::Str(s), IntermediateKey::Str(s) => Self::Str(s),
IntermediateKey::IpAddr(s) => {
// Prefer to use the IPv4 representation if possible
if let Some(ip) = s.to_ipv4_mapped() {
Self::Str(ip.to_string())
} else {
Self::Str(s.to_string())
}
}
IntermediateKey::F64(f) => Self::F64(f), IntermediateKey::F64(f) => Self::F64(f),
IntermediateKey::Bool(f) => Self::F64(f as u64 as f64),
} }
} }
} }
@@ -85,8 +71,6 @@ impl std::hash::Hash for IntermediateKey {
match self { match self {
IntermediateKey::Str(text) => text.hash(state), IntermediateKey::Str(text) => text.hash(state),
IntermediateKey::F64(val) => val.to_bits().hash(state), IntermediateKey::F64(val) => val.to_bits().hash(state),
IntermediateKey::Bool(val) => val.hash(state),
IntermediateKey::IpAddr(val) => val.hash(state),
} }
} }
} }
@@ -182,9 +166,9 @@ impl IntermediateAggregationResults {
pub(crate) fn empty_from_req(req: &Aggregation) -> IntermediateAggregationResult { pub(crate) fn empty_from_req(req: &Aggregation) -> IntermediateAggregationResult {
use AggregationVariants::*; use AggregationVariants::*;
match req.agg { match req.agg {
Terms(_) => IntermediateAggregationResult::Bucket(IntermediateBucketResult::Terms { Terms(_) => IntermediateAggregationResult::Bucket(IntermediateBucketResult::Terms(
buckets: Default::default(), Default::default(),
}), )),
Range(_) => IntermediateAggregationResult::Bucket(IntermediateBucketResult::Range( Range(_) => IntermediateAggregationResult::Bucket(IntermediateBucketResult::Range(
Default::default(), Default::default(),
)), )),
@@ -215,18 +199,12 @@ pub(crate) fn empty_from_req(req: &Aggregation) -> IntermediateAggregationResult
Stats(_) => IntermediateAggregationResult::Metric(IntermediateMetricResult::Stats( Stats(_) => IntermediateAggregationResult::Metric(IntermediateMetricResult::Stats(
IntermediateStats::default(), IntermediateStats::default(),
)), )),
ExtendedStats(_) => IntermediateAggregationResult::Metric(
IntermediateMetricResult::ExtendedStats(IntermediateExtendedStats::default()),
),
Sum(_) => IntermediateAggregationResult::Metric(IntermediateMetricResult::Sum( Sum(_) => IntermediateAggregationResult::Metric(IntermediateMetricResult::Sum(
IntermediateSum::default(), IntermediateSum::default(),
)), )),
Percentiles(_) => IntermediateAggregationResult::Metric( Percentiles(_) => IntermediateAggregationResult::Metric(
IntermediateMetricResult::Percentiles(PercentilesCollector::default()), IntermediateMetricResult::Percentiles(PercentilesCollector::default()),
), ),
TopHits(ref req) => IntermediateAggregationResult::Metric(
IntermediateMetricResult::TopHits(TopHitsTopNComputer::new(req)),
),
} }
} }
@@ -285,12 +263,8 @@ pub enum IntermediateMetricResult {
Min(IntermediateMin), Min(IntermediateMin),
/// Intermediate stats result. /// Intermediate stats result.
Stats(IntermediateStats), Stats(IntermediateStats),
/// Intermediate stats result.
ExtendedStats(IntermediateExtendedStats),
/// Intermediate sum result. /// Intermediate sum result.
Sum(IntermediateSum), Sum(IntermediateSum),
/// Intermediate top_hits result
TopHits(TopHitsTopNComputer),
} }
impl IntermediateMetricResult { impl IntermediateMetricResult {
@@ -311,9 +285,6 @@ impl IntermediateMetricResult {
IntermediateMetricResult::Stats(intermediate_stats) => { IntermediateMetricResult::Stats(intermediate_stats) => {
MetricResult::Stats(intermediate_stats.finalize()) MetricResult::Stats(intermediate_stats.finalize())
} }
IntermediateMetricResult::ExtendedStats(intermediate_stats) => {
MetricResult::ExtendedStats(intermediate_stats.finalize())
}
IntermediateMetricResult::Sum(intermediate_sum) => { IntermediateMetricResult::Sum(intermediate_sum) => {
MetricResult::Sum(intermediate_sum.finalize().into()) MetricResult::Sum(intermediate_sum.finalize().into())
} }
@@ -321,13 +292,9 @@ impl IntermediateMetricResult {
percentiles percentiles
.into_final_result(req.agg.as_percentile().expect("unexpected metric type")), .into_final_result(req.agg.as_percentile().expect("unexpected metric type")),
), ),
IntermediateMetricResult::TopHits(top_hits) => {
MetricResult::TopHits(top_hits.into_final_result())
}
} }
} }
// TODO: this is our top-of-the-chain fruit merge mech
fn merge_fruits(&mut self, other: IntermediateMetricResult) -> crate::Result<()> { fn merge_fruits(&mut self, other: IntermediateMetricResult) -> crate::Result<()> {
match (self, other) { match (self, other) {
( (
@@ -354,12 +321,6 @@ impl IntermediateMetricResult {
) => { ) => {
stats_left.merge_fruits(stats_right); stats_left.merge_fruits(stats_right);
} }
(
IntermediateMetricResult::ExtendedStats(extended_stats_left),
IntermediateMetricResult::ExtendedStats(extended_stats_right),
) => {
extended_stats_left.merge_fruits(extended_stats_right);
}
(IntermediateMetricResult::Sum(sum_left), IntermediateMetricResult::Sum(sum_right)) => { (IntermediateMetricResult::Sum(sum_left), IntermediateMetricResult::Sum(sum_right)) => {
sum_left.merge_fruits(sum_right); sum_left.merge_fruits(sum_right);
} }
@@ -369,9 +330,6 @@ impl IntermediateMetricResult {
) => { ) => {
left.merge_fruits(right)?; left.merge_fruits(right)?;
} }
(IntermediateMetricResult::TopHits(left), IntermediateMetricResult::TopHits(right)) => {
left.merge_fruits(right)?;
}
_ => { _ => {
panic!("incompatible fruit types in tree or missing merge_fruits handler"); panic!("incompatible fruit types in tree or missing merge_fruits handler");
} }
@@ -393,14 +351,11 @@ pub enum IntermediateBucketResult {
Histogram { Histogram {
/// The column_type of the underlying `Column` is DateTime /// The column_type of the underlying `Column` is DateTime
is_date_agg: bool, is_date_agg: bool,
/// The histogram buckets /// The buckets
buckets: Vec<IntermediateHistogramBucketEntry>, buckets: Vec<IntermediateHistogramBucketEntry>,
}, },
/// Term aggregation /// Term aggregation
Terms { Terms(IntermediateTermBucketResult),
/// The term buckets
buckets: IntermediateTermBucketResult,
},
} }
impl IntermediateBucketResult { impl IntermediateBucketResult {
@@ -477,7 +432,7 @@ impl IntermediateBucketResult {
}; };
Ok(BucketResult::Histogram { buckets }) Ok(BucketResult::Histogram { buckets })
} }
IntermediateBucketResult::Terms { buckets: terms } => terms.into_final_result( IntermediateBucketResult::Terms(terms) => terms.into_final_result(
req.agg req.agg
.as_term() .as_term()
.expect("unexpected aggregation, expected term aggregation"), .expect("unexpected aggregation, expected term aggregation"),
@@ -490,12 +445,8 @@ impl IntermediateBucketResult {
fn merge_fruits(&mut self, other: IntermediateBucketResult) -> crate::Result<()> { fn merge_fruits(&mut self, other: IntermediateBucketResult) -> crate::Result<()> {
match (self, other) { match (self, other) {
( (
IntermediateBucketResult::Terms { IntermediateBucketResult::Terms(term_res_left),
buckets: term_res_left, IntermediateBucketResult::Terms(term_res_right),
},
IntermediateBucketResult::Terms {
buckets: term_res_right,
},
) => { ) => {
merge_maps(&mut term_res_left.entries, term_res_right.entries)?; merge_maps(&mut term_res_left.entries, term_res_right.entries)?;
term_res_left.sum_other_doc_count += term_res_right.sum_other_doc_count; term_res_left.sum_other_doc_count += term_res_right.sum_other_doc_count;
@@ -579,15 +530,8 @@ impl IntermediateTermBucketResult {
.into_iter() .into_iter()
.filter(|bucket| bucket.1.doc_count as u64 >= req.min_doc_count) .filter(|bucket| bucket.1.doc_count as u64 >= req.min_doc_count)
.map(|(key, entry)| { .map(|(key, entry)| {
let key_as_string = match key {
IntermediateKey::Bool(key) => {
let val = if key { "true" } else { "false" };
Some(val.to_string())
}
_ => None,
};
Ok(BucketEntry { Ok(BucketEntry {
key_as_string, key_as_string: None,
key: key.into(), key: key.into(),
doc_count: entry.doc_count as u64, doc_count: entry.doc_count as u64,
sub_aggregation: entry sub_aggregation: entry

73
src/aggregation/metric/average.rs
View File

@@ -2,8 +2,7 @@ use std::fmt::Debug;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use super::*; use super::{IntermediateStats, SegmentStatsCollector};
use crate::aggregation::*;
/// A single-value metric aggregation that computes the average of numeric values that are /// A single-value metric aggregation that computes the average of numeric values that are
/// extracted from the aggregated documents. /// extracted from the aggregated documents.
@@ -25,7 +24,7 @@ pub struct AverageAggregation {
/// By default they will be ignored but it is also possible to treat them as if they had a /// By default they will be ignored but it is also possible to treat them as if they had a
/// value. Examples in JSON format: /// value. Examples in JSON format:
/// { "field": "my_numbers", "missing": "10.0" } /// { "field": "my_numbers", "missing": "10.0" }
#[serde(default, deserialize_with = "deserialize_option_f64")] #[serde(default)]
pub missing: Option<f64>, pub missing: Option<f64>,
} }
@@ -66,71 +65,3 @@ impl IntermediateAverage {
self.stats.finalize().avg self.stats.finalize().avg
} }
} }
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn deserialization_with_missing_test1() {
let json = r#"{
"field": "score",
"missing": "10.0"
}"#;
let avg: AverageAggregation = serde_json::from_str(json).unwrap();
assert_eq!(avg.field, "score");
assert_eq!(avg.missing, Some(10.0));
// no dot
let json = r#"{
"field": "score",
"missing": "10"
}"#;
let avg: AverageAggregation = serde_json::from_str(json).unwrap();
assert_eq!(avg.field, "score");
assert_eq!(avg.missing, Some(10.0));
// from value
let avg: AverageAggregation = serde_json::from_value(json!({
"field": "score_f64",
"missing": 10u64,
}))
.unwrap();
assert_eq!(avg.missing, Some(10.0));
// from value
let avg: AverageAggregation = serde_json::from_value(json!({
"field": "score_f64",
"missing": 10u32,
}))
.unwrap();
assert_eq!(avg.missing, Some(10.0));
let avg: AverageAggregation = serde_json::from_value(json!({
"field": "score_f64",
"missing": 10i8,
}))
.unwrap();
assert_eq!(avg.missing, Some(10.0));
}
#[test]
fn deserialization_with_missing_test_fail() {
let json = r#"{
"field": "score",
"missing": "a"
}"#;
let avg: Result<AverageAggregation, _> = serde_json::from_str(json);
assert!(avg.is_err());
assert!(avg
.unwrap_err()
.to_string()
.contains("Failed to parse f64 from string: \"a\""));
// Disallow NaN
let json = r#"{
"field": "score",
"missing": "NaN"
}"#;
let avg: Result<AverageAggregation, _> = serde_json::from_str(json);
assert!(avg.is_err());
assert!(avg.unwrap_err().to_string().contains("NaN"));
}
}

5
src/aggregation/metric/count.rs
View File

@@ -2,8 +2,7 @@ use std::fmt::Debug;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use super::*; use super::{IntermediateStats, SegmentStatsCollector};
use crate::aggregation::*;
/// A single-value metric aggregation that counts the number of values that are /// A single-value metric aggregation that counts the number of values that are
/// extracted from the aggregated documents. /// extracted from the aggregated documents.
@@ -25,7 +24,7 @@ pub struct CountAggregation {
/// By default they will be ignored but it is also possible to treat them as if they had a /// By default they will be ignored but it is also possible to treat them as if they had a
/// value. Examples in JSON format: /// value. Examples in JSON format:
/// { "field": "my_numbers", "missing": "10.0" } /// { "field": "my_numbers", "missing": "10.0" }
#[serde(default, deserialize_with = "deserialize_option_f64")] #[serde(default)]
pub missing: Option<f64>, pub missing: Option<f64>,
} }

1181
src/aggregation/metric/extended_stats.rs
View File

File diff suppressed because it is too large Load Diff

5
src/aggregation/metric/max.rs
View File

@@ -2,8 +2,7 @@ use std::fmt::Debug;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use super::*; use super::{IntermediateStats, SegmentStatsCollector};
use crate::aggregation::*;
/// A single-value metric aggregation that computes the maximum of numeric values that are /// A single-value metric aggregation that computes the maximum of numeric values that are
/// extracted from the aggregated documents. /// extracted from the aggregated documents.
@@ -25,7 +24,7 @@ pub struct MaxAggregation {
/// By default they will be ignored but it is also possible to treat them as if they had a /// By default they will be ignored but it is also possible to treat them as if they had a
/// value. Examples in JSON format: /// value. Examples in JSON format:
/// { "field": "my_numbers", "missing": "10.0" } /// { "field": "my_numbers", "missing": "10.0" }
#[serde(default, deserialize_with = "deserialize_option_f64")] #[serde(default)]
pub missing: Option<f64>, pub missing: Option<f64>,
} }

5
src/aggregation/metric/min.rs
View File

@@ -2,8 +2,7 @@ use std::fmt::Debug;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use super::*; use super::{IntermediateStats, SegmentStatsCollector};
use crate::aggregation::*;
/// A single-value metric aggregation that computes the minimum of numeric values that are /// A single-value metric aggregation that computes the minimum of numeric values that are
/// extracted from the aggregated documents. /// extracted from the aggregated documents.
@@ -25,7 +24,7 @@ pub struct MinAggregation {
/// By default they will be ignored but it is also possible to treat them as if they had a /// By default they will be ignored but it is also possible to treat them as if they had a
/// value. Examples in JSON format: /// value. Examples in JSON format:
/// { "field": "my_numbers", "missing": "10.0" } /// { "field": "my_numbers", "missing": "10.0" }
#[serde(default, deserialize_with = "deserialize_option_f64")] #[serde(default)]
pub missing: Option<f64>, pub missing: Option<f64>,
} }

31
src/aggregation/metric/mod.rs
View File

@@ -18,19 +18,13 @@
mod average; mod average;
mod count; mod count;
mod extended_stats;
mod max; mod max;
mod min; mod min;
mod percentiles; mod percentiles;
mod stats; mod stats;
mod sum; mod sum;
mod top_hits;
use std::collections::HashMap;
pub use average::*; pub use average::*;
pub use count::*; pub use count::*;
pub use extended_stats::*;
pub use max::*; pub use max::*;
pub use min::*; pub use min::*;
pub use percentiles::*; pub use percentiles::*;
@@ -38,9 +32,6 @@ use rustc_hash::FxHashMap;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
pub use stats::*; pub use stats::*;
pub use sum::*; pub use sum::*;
pub use top_hits::*;
use crate::schema::OwnedValue;
/// Single-metric aggregations use this common result structure. /// Single-metric aggregations use this common result structure.
/// ///
@@ -90,28 +81,6 @@ pub struct PercentilesMetricResult {
pub values: PercentileValues, pub values: PercentileValues,
} }
/// The top_hits metric results entry
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
pub struct TopHitsVecEntry {
/// The sort values of the document, depending on the sort criteria in the request.
pub sort: Vec<Option<u64>>,
/// Search results, for queries that include field retrieval requests
/// (`docvalue_fields`).
#[serde(rename = "docvalue_fields")]
#[serde(skip_serializing_if = "HashMap::is_empty")]
pub doc_value_fields: HashMap<String, OwnedValue>,
}
/// The top_hits metric aggregation results a list of top hits by sort criteria.
///
/// The main reason for wrapping it in `hits` is to match elasticsearch output structure.
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
pub struct TopHitsMetricResult {
/// The result of the top_hits metric.
pub hits: Vec<TopHitsVecEntry>,
}
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use crate::aggregation::agg_req::Aggregations; use crate::aggregation::agg_req::Aggregations;

11
src/aggregation/metric/percentiles.rs
View File

@@ -1,5 +1,6 @@
use std::fmt::Debug; use std::fmt::Debug;
use columnar::ColumnType;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use super::*; use super::*;
@@ -10,7 +11,7 @@ use crate::aggregation::intermediate_agg_result::{
IntermediateAggregationResult, IntermediateAggregationResults, IntermediateMetricResult, IntermediateAggregationResult, IntermediateAggregationResults, IntermediateMetricResult,
}; };
use crate::aggregation::segment_agg_result::SegmentAggregationCollector; use crate::aggregation::segment_agg_result::SegmentAggregationCollector;
use crate::aggregation::*; use crate::aggregation::{f64_from_fastfield_u64, f64_to_fastfield_u64, AggregationError};
use crate::{DocId, TantivyError}; use crate::{DocId, TantivyError};
/// # Percentiles /// # Percentiles
@@ -83,11 +84,7 @@ pub struct PercentilesAggregationReq {
/// By default they will be ignored but it is also possible to treat them as if they had a /// By default they will be ignored but it is also possible to treat them as if they had a
/// value. Examples in JSON format: /// value. Examples in JSON format:
/// { "field": "my_numbers", "missing": "10.0" } /// { "field": "my_numbers", "missing": "10.0" }
#[serde( #[serde(skip_serializing_if = "Option::is_none", default)]
skip_serializing_if = "Option::is_none",
default,
deserialize_with = "deserialize_option_f64"
)]
pub missing: Option<f64>, pub missing: Option<f64>,
} }
fn default_percentiles() -> &'static [f64] { fn default_percentiles() -> &'static [f64] {
@@ -136,6 +133,7 @@ pub(crate) struct SegmentPercentilesCollector {
field_type: ColumnType, field_type: ColumnType,
pub(crate) percentiles: PercentilesCollector, pub(crate) percentiles: PercentilesCollector,
pub(crate) accessor_idx: usize, pub(crate) accessor_idx: usize,
val_cache: Vec<u64>,
missing: Option<u64>, missing: Option<u64>,
} }
@@ -245,6 +243,7 @@ impl SegmentPercentilesCollector {
field_type, field_type,
percentiles: PercentilesCollector::new(), percentiles: PercentilesCollector::new(),
accessor_idx, accessor_idx,
val_cache: Default::default(),
missing, missing,
}) })
} }

61
src/aggregation/metric/stats.rs
View File

@@ -1,5 +1,4 @@
use std::fmt::Debug; use columnar::ColumnType;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use super::*; use super::*;
@@ -10,7 +9,7 @@ use crate::aggregation::intermediate_agg_result::{
IntermediateAggregationResult, IntermediateAggregationResults, IntermediateMetricResult, IntermediateAggregationResult, IntermediateAggregationResults, IntermediateMetricResult,
}; };
use crate::aggregation::segment_agg_result::SegmentAggregationCollector; use crate::aggregation::segment_agg_result::SegmentAggregationCollector;
use crate::aggregation::*; use crate::aggregation::{f64_from_fastfield_u64, f64_to_fastfield_u64};
use crate::{DocId, TantivyError}; use crate::{DocId, TantivyError};
/// A multi-value metric aggregation that computes a collection of statistics on numeric values that /// A multi-value metric aggregation that computes a collection of statistics on numeric values that
@@ -34,7 +33,7 @@ pub struct StatsAggregation {
/// By default they will be ignored but it is also possible to treat them as if they had a /// By default they will be ignored but it is also possible to treat them as if they had a
/// value. Examples in JSON format: /// value. Examples in JSON format:
/// { "field": "my_numbers", "missing": "10.0" } /// { "field": "my_numbers", "missing": "10.0" }
#[serde(default, deserialize_with = "deserialize_option_f64")] #[serde(default)]
pub missing: Option<f64>, pub missing: Option<f64>,
} }
@@ -87,15 +86,13 @@ impl Stats {
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)] #[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
pub struct IntermediateStats { pub struct IntermediateStats {
/// The number of extracted values. /// The number of extracted values.
pub(crate) count: u64, count: u64,
/// The sum of the extracted values. /// The sum of the extracted values.
pub(crate) sum: f64, sum: f64,
/// delta for sum needed for [Kahan algorithm for summation](https://en.wikipedia.org/wiki/Kahan_summation_algorithm)
pub(crate) delta: f64,
/// The min value. /// The min value.
pub(crate) min: f64, min: f64,
/// The max value. /// The max value.
pub(crate) max: f64, max: f64,
} }
impl Default for IntermediateStats { impl Default for IntermediateStats {
@@ -103,7 +100,6 @@ impl Default for IntermediateStats {
Self { Self {
count: 0, count: 0,
sum: 0.0, sum: 0.0,
delta: 0.0,
min: f64::MAX, min: f64::MAX,
max: f64::MIN, max: f64::MIN,
} }
@@ -114,13 +110,7 @@ impl IntermediateStats {
/// Merges the other stats intermediate result into self. /// Merges the other stats intermediate result into self.
pub fn merge_fruits(&mut self, other: IntermediateStats) { pub fn merge_fruits(&mut self, other: IntermediateStats) {
self.count += other.count; self.count += other.count;
self.sum += other.sum;
// kahan algorithm for sum
let y = other.sum - (self.delta + other.delta);
let t = self.sum + y;
self.delta = (t - self.sum) - y;
self.sum = t;
self.min = self.min.min(other.min); self.min = self.min.min(other.min);
self.max = self.max.max(other.max); self.max = self.max.max(other.max);
} }
@@ -152,15 +142,9 @@ impl IntermediateStats {
} }
#[inline] #[inline]
pub(in crate::aggregation::metric) fn collect(&mut self, value: f64) { fn collect(&mut self, value: f64) {
self.count += 1; self.count += 1;
self.sum += value;
// kahan algorithm for sum
let y = value - self.delta;
let t = self.sum + y;
self.delta = (t - self.sum) - y;
self.sum = t;
self.min = self.min.min(value); self.min = self.min.min(value);
self.max = self.max.max(value); self.max = self.max.max(value);
} }
@@ -305,6 +289,7 @@ impl SegmentAggregationCollector for SegmentStatsCollector {
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use serde_json::Value; use serde_json::Value;
use crate::aggregation::agg_req::{Aggregation, Aggregations}; use crate::aggregation::agg_req::{Aggregation, Aggregations};
@@ -595,30 +580,6 @@ mod tests {
}) })
); );
// From string
let agg_req: Aggregations = serde_json::from_value(json!({
"my_stats": {
"stats": {
"field": "json.partially_empty",
"missing": "0.0"
},
}
}))
.unwrap();
let res = exec_request_with_query(agg_req, &index, None)?;
assert_eq!(
res["my_stats"],
json!({
"avg": 2.5,
"count": 4,
"max": 10.0,
"min": 0.0,
"sum": 10.0
})
);
Ok(()) Ok(())
} }

5
src/aggregation/metric/sum.rs
View File

@@ -2,8 +2,7 @@ use std::fmt::Debug;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use super::*; use super::{IntermediateStats, SegmentStatsCollector};
use crate::aggregation::*;
/// A single-value metric aggregation that sums up numeric values that are /// A single-value metric aggregation that sums up numeric values that are
/// extracted from the aggregated documents. /// extracted from the aggregated documents.
@@ -25,7 +24,7 @@ pub struct SumAggregation {
/// By default they will be ignored but it is also possible to treat them as if they had a /// By default they will be ignored but it is also possible to treat them as if they had a
/// value. Examples in JSON format: /// value. Examples in JSON format:
/// { "field": "my_numbers", "missing": "10.0" } /// { "field": "my_numbers", "missing": "10.0" }
#[serde(default, deserialize_with = "deserialize_option_f64")] #[serde(default)]
pub missing: Option<f64>, pub missing: Option<f64>,
} }

916
src/aggregation/metric/top_hits.rs
View File

@@ -1,916 +0,0 @@
use std::collections::HashMap;
use std::net::Ipv6Addr;
use columnar::{Column, ColumnType, ColumnarReader, DynamicColumn};
use common::json_path_writer::JSON_PATH_SEGMENT_SEP_STR;
use common::DateTime;
use regex::Regex;
use serde::ser::SerializeMap;
use serde::{Deserialize, Deserializer, Serialize, Serializer};
use super::{TopHitsMetricResult, TopHitsVecEntry};
use crate::aggregation::bucket::Order;
use crate::aggregation::intermediate_agg_result::{
IntermediateAggregationResult, IntermediateMetricResult,
};
use crate::aggregation::segment_agg_result::SegmentAggregationCollector;
use crate::aggregation::AggregationError;
use crate::collector::TopNComputer;
use crate::schema::OwnedValue;
use crate::{DocAddress, DocId, SegmentOrdinal};
/// # Top Hits
///
/// The top hits aggregation is a useful tool to answer questions like:
/// - "What are the most recent posts by each author?"
/// - "What are the most popular items in each category?"
///
/// It does so by keeping track of the most relevant document being aggregated,
/// in terms of a sort criterion that can consist of multiple fields and their
/// sort-orders (ascending or descending).
///
/// `top_hits` should not be used as a top-level aggregation. It is intended to be
/// used as a sub-aggregation, inside a `terms` aggregation or a `filters` aggregation,
/// for example.
///
/// Note that this aggregator does not return the actual document addresses, but
/// rather a list of the values of the fields that were requested to be retrieved.
/// These values can be specified in the `docvalue_fields` parameter, which can include
/// a list of fast fields to be retrieved. At the moment, only fast fields are supported
/// but it is possible that we support the `fields` parameter to retrieve any stored
/// field in the future.
///
/// The following example demonstrates a request for the top_hits aggregation:
/// ```JSON
/// {
/// "aggs": {
/// "top_authors": {
/// "terms": {
/// "field": "author",
/// "size": 5
/// }
/// },
/// "aggs": {
/// "top_hits": {
/// "size": 2,
/// "from": 0
/// "sort": [
/// { "date": "desc" }
/// ]
/// "docvalue_fields": ["date", "title", "iden"]
/// }
/// }
/// }
/// ```
///
/// This request will return an object containing the top two documents, sorted
/// by the `date` field in descending order. You can also sort by multiple fields, which
/// helps to resolve ties. The aggregation object for each bucket will look like:
/// ```JSON
/// {
/// "hits": [
/// {
/// "score": [<time_u64>],
/// "docvalue_fields": {
/// "date": "<date_RFC3339>",
/// "title": "<title>",
/// "iden": "<iden>"
/// }
/// },
/// {
/// "score": [<time_u64>]
/// "docvalue_fields": {
/// "date": "<date_RFC3339>",
/// "title": "<title>",
/// "iden": "<iden>"
/// }
/// }
/// ]
/// }
/// ```
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Default)]
pub struct TopHitsAggregation {
sort: Vec<KeyOrder>,
size: usize,
from: Option<usize>,
#[serde(rename = "docvalue_fields")]
#[serde(default)]
doc_value_fields: Vec<String>,
// Not supported
_source: Option<serde_json::Value>,
fields: Option<serde_json::Value>,
script_fields: Option<serde_json::Value>,
highlight: Option<serde_json::Value>,
explain: Option<serde_json::Value>,
version: Option<serde_json::Value>,
}
#[derive(Debug, Clone, PartialEq, Default)]
struct KeyOrder {
field: String,
order: Order,
}
impl Serialize for KeyOrder {
fn serialize<S: Serializer>(&self, serializer: S) -> Result<S::Ok, S::Error> {
let KeyOrder { field, order } = self;
let mut map = serializer.serialize_map(Some(1))?;
map.serialize_entry(field, order)?;
map.end()
}
}
impl<'de> Deserialize<'de> for KeyOrder {
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where D: Deserializer<'de> {
let mut key_order = <HashMap<String, Order>>::deserialize(deserializer)?.into_iter();
let (field, order) = key_order.next().ok_or(serde::de::Error::custom(
"Expected exactly one key-value pair in sort parameter of top_hits, found none",
))?;
if key_order.next().is_some() {
return Err(serde::de::Error::custom(format!(
"Expected exactly one key-value pair in sort parameter of top_hits, found \
{key_order:?}"
)));
}
Ok(Self { field, order })
}
}
// Tranform a glob (`pattern*`, for example) into a regex::Regex (`^pattern.*$`)
fn globbed_string_to_regex(glob: &str) -> Result<Regex, crate::TantivyError> {
// Replace `*` glob with `.*` regex
let sanitized = format!("^{}$", regex::escape(glob).replace(r"\*", ".*"));
Regex::new(&sanitized.replace('*', ".*")).map_err(|e| {
crate::TantivyError::SchemaError(format!("Invalid regex '{glob}' in docvalue_fields: {e}"))
})
}
fn use_doc_value_fields_err(parameter: &str) -> crate::Result<()> {
Err(crate::TantivyError::AggregationError(
AggregationError::InvalidRequest(format!(
"The `{parameter}` parameter is not supported, only `docvalue_fields` is supported in \
`top_hits` aggregation"
)),
))
}
fn unsupported_err(parameter: &str) -> crate::Result<()> {
Err(crate::TantivyError::AggregationError(
AggregationError::InvalidRequest(format!(
"The `{parameter}` parameter is not supported in the `top_hits` aggregation"
)),
))
}
impl TopHitsAggregation {
/// Validate and resolve field retrieval parameters
pub fn validate_and_resolve_field_names(
&mut self,
reader: &ColumnarReader,
) -> crate::Result<()> {
if self._source.is_some() {
use_doc_value_fields_err("_source")?;
}
if self.fields.is_some() {
use_doc_value_fields_err("fields")?;
}
if self.script_fields.is_some() {
use_doc_value_fields_err("script_fields")?;
}
if self.explain.is_some() {
unsupported_err("explain")?;
}
if self.highlight.is_some() {
unsupported_err("highlight")?;
}
if self.version.is_some() {
unsupported_err("version")?;
}
self.doc_value_fields = self
.doc_value_fields
.iter()
.map(|field| {
if !field.contains('*')
&& reader
.iter_columns()?
.any(|(name, _)| name.as_str() == field)
{
return Ok(vec![field.to_owned()]);
}
let pattern = globbed_string_to_regex(field)?;
let fields = reader
.iter_columns()?
.map(|(name, _)| {
// normalize path from internal fast field repr
name.replace(JSON_PATH_SEGMENT_SEP_STR, ".")
})
.filter(|name| pattern.is_match(name))
.collect::<Vec<_>>();
assert!(
!fields.is_empty(),
"No fields matched the glob '{field}' in docvalue_fields"
);
Ok(fields)
})
.collect::<crate::Result<Vec<_>>>()?
.into_iter()
.flatten()
.collect();
Ok(())
}
/// Return fields accessed by the aggregator, in order.
pub fn field_names(&self) -> Vec<&str> {
self.sort
.iter()
.map(|KeyOrder { field, .. }| field.as_str())
.collect()
}
/// Return fields accessed by the aggregator's value retrieval.
pub fn value_field_names(&self) -> Vec<&str> {
self.doc_value_fields.iter().map(|s| s.as_str()).collect()
}
fn get_document_field_data(
&self,
accessors: &HashMap<String, Vec<DynamicColumn>>,
doc_id: DocId,
) -> HashMap<String, FastFieldValue> {
let doc_value_fields = self
.doc_value_fields
.iter()
.map(|field| {
let accessors = accessors
.get(field)
.unwrap_or_else(|| panic!("field '{field}' not found in accessors"));
let values: Vec<FastFieldValue> = accessors
.iter()
.flat_map(|accessor| match accessor {
DynamicColumn::U64(accessor) => accessor
.values_for_doc(doc_id)
.map(FastFieldValue::U64)
.collect::<Vec<_>>(),
DynamicColumn::I64(accessor) => accessor
.values_for_doc(doc_id)
.map(FastFieldValue::I64)
.collect::<Vec<_>>(),
DynamicColumn::F64(accessor) => accessor
.values_for_doc(doc_id)
.map(FastFieldValue::F64)
.collect::<Vec<_>>(),
DynamicColumn::Bytes(accessor) => accessor
.term_ords(doc_id)
.map(|term_ord| {
let mut buffer = vec![];
assert!(
accessor
.ord_to_bytes(term_ord, &mut buffer)
.expect("could not read term dictionary"),
"term corresponding to term_ord does not exist"
);
FastFieldValue::Bytes(buffer)
})
.collect::<Vec<_>>(),
DynamicColumn::Str(accessor) => accessor
.term_ords(doc_id)
.map(|term_ord| {
let mut buffer = vec![];
assert!(
accessor
.ord_to_bytes(term_ord, &mut buffer)
.expect("could not read term dictionary"),
"term corresponding to term_ord does not exist"
);
FastFieldValue::Str(String::from_utf8(buffer).unwrap())
})
.collect::<Vec<_>>(),
DynamicColumn::Bool(accessor) => accessor
.values_for_doc(doc_id)
.map(FastFieldValue::Bool)
.collect::<Vec<_>>(),
DynamicColumn::IpAddr(accessor) => accessor
.values_for_doc(doc_id)
.map(FastFieldValue::IpAddr)
.collect::<Vec<_>>(),
DynamicColumn::DateTime(accessor) => accessor
.values_for_doc(doc_id)
.map(FastFieldValue::Date)
.collect::<Vec<_>>(),
})
.collect();
(field.to_owned(), FastFieldValue::Array(values))
})
.collect();
doc_value_fields
}
}
/// A retrieved value from a fast field.
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub enum FastFieldValue {
/// The str type is used for any text information.
Str(String),
/// Unsigned 64-bits Integer `u64`
U64(u64),
/// Signed 64-bits Integer `i64`
I64(i64),
/// 64-bits Float `f64`
F64(f64),
/// Bool value
Bool(bool),
/// Date/time with nanoseconds precision
Date(DateTime),
/// Arbitrarily sized byte array
Bytes(Vec<u8>),
/// IpV6 Address. Internally there is no IpV4, it needs to be converted to `Ipv6Addr`.
IpAddr(Ipv6Addr),
/// A list of values.
Array(Vec<Self>),
}
impl From<FastFieldValue> for OwnedValue {
fn from(value: FastFieldValue) -> Self {
match value {
FastFieldValue::Str(s) => OwnedValue::Str(s),
FastFieldValue::U64(u) => OwnedValue::U64(u),
FastFieldValue::I64(i) => OwnedValue::I64(i),
FastFieldValue::F64(f) => OwnedValue::F64(f),
FastFieldValue::Bool(b) => OwnedValue::Bool(b),
FastFieldValue::Date(d) => OwnedValue::Date(d),
FastFieldValue::Bytes(b) => OwnedValue::Bytes(b),
FastFieldValue::IpAddr(ip) => OwnedValue::IpAddr(ip),
FastFieldValue::Array(a) => {
OwnedValue::Array(a.into_iter().map(OwnedValue::from).collect())
}
}
}
}
/// Holds a fast field value in its u64 representation, and the order in which it should be sorted.
#[derive(Clone, Serialize, Deserialize, Debug)]
struct DocValueAndOrder {
/// A fast field value in its u64 representation.
value: Option<u64>,
/// Sort order for the value
order: Order,
}
impl Ord for DocValueAndOrder {
fn cmp(&self, other: &Self) -> std::cmp::Ordering {
let invert = |cmp: std::cmp::Ordering| match self.order {
Order::Asc => cmp,
Order::Desc => cmp.reverse(),
};
match (self.value, other.value) {
(Some(self_value), Some(other_value)) => invert(self_value.cmp(&other_value)),
(Some(_), None) => std::cmp::Ordering::Greater,
(None, Some(_)) => std::cmp::Ordering::Less,
(None, None) => std::cmp::Ordering::Equal,
}
}
}
impl PartialOrd for DocValueAndOrder {
fn partial_cmp(&self, other: &Self) -> Option<std::cmp::Ordering> {
Some(self.cmp(other))
}
}
impl PartialEq for DocValueAndOrder {
fn eq(&self, other: &Self) -> bool {
self.value.cmp(&other.value) == std::cmp::Ordering::Equal
}
}
impl Eq for DocValueAndOrder {}
#[derive(Clone, Serialize, Deserialize, Debug)]
struct DocSortValuesAndFields {
sorts: Vec<DocValueAndOrder>,
#[serde(rename = "docvalue_fields")]
#[serde(skip_serializing_if = "HashMap::is_empty")]
doc_value_fields: HashMap<String, FastFieldValue>,
}
impl Ord for DocSortValuesAndFields {
fn cmp(&self, other: &Self) -> std::cmp::Ordering {
for (self_feature, other_feature) in self.sorts.iter().zip(other.sorts.iter()) {
let cmp = self_feature.cmp(other_feature);
if cmp != std::cmp::Ordering::Equal {
return cmp;
}
}
std::cmp::Ordering::Equal
}
}
impl PartialOrd for DocSortValuesAndFields {
fn partial_cmp(&self, other: &Self) -> Option<std::cmp::Ordering> {
Some(self.cmp(other))
}
}
impl PartialEq for DocSortValuesAndFields {
fn eq(&self, other: &Self) -> bool {
self.cmp(other) == std::cmp::Ordering::Equal
}
}
impl Eq for DocSortValuesAndFields {}
/// The TopHitsCollector used for collecting over segments and merging results.
#[derive(Clone, Serialize, Deserialize, Debug)]
pub struct TopHitsTopNComputer {
req: TopHitsAggregation,
top_n: TopNComputer<DocSortValuesAndFields, DocAddress, false>,
}
impl std::cmp::PartialEq for TopHitsTopNComputer {
fn eq(&self, _other: &Self) -> bool {
false
}
}
impl TopHitsTopNComputer {
/// Create a new TopHitsCollector
pub fn new(req: &TopHitsAggregation) -> Self {
Self {
top_n: TopNComputer::new(req.size + req.from.unwrap_or(0)),
req: req.clone(),
}
}
fn collect(&mut self, features: DocSortValuesAndFields, doc: DocAddress) {
self.top_n.push(features, doc);
}
pub(crate) fn merge_fruits(&mut self, other_fruit: Self) -> crate::Result<()> {
for doc in other_fruit.top_n.into_vec() {
self.collect(doc.feature, doc.doc);
}
Ok(())
}
/// Finalize by converting self into the final result form
pub fn into_final_result(self) -> TopHitsMetricResult {
let mut hits: Vec<TopHitsVecEntry> = self
.top_n
.into_sorted_vec()
.into_iter()
.map(|doc| TopHitsVecEntry {
sort: doc.feature.sorts.iter().map(|f| f.value).collect(),
doc_value_fields: doc
.feature
.doc_value_fields
.into_iter()
.map(|(k, v)| (k, v.into()))
.collect(),
})
.collect();
// Remove the first `from` elements
// Truncating from end would be more efficient, but we need to truncate from the front
// because `into_sorted_vec` gives us a descending order because of the inverted
// `Ord` semantics of the heap elements.
hits.drain(..self.req.from.unwrap_or(0));
TopHitsMetricResult { hits }
}
}
#[derive(Clone, Debug)]
pub(crate) struct TopHitsSegmentCollector {
segment_ordinal: SegmentOrdinal,
accessor_idx: usize,
top_n: TopNComputer<Vec<DocValueAndOrder>, DocAddress, false>,
}
impl TopHitsSegmentCollector {
pub fn from_req(
req: &TopHitsAggregation,
accessor_idx: usize,
segment_ordinal: SegmentOrdinal,
) -> Self {
Self {
top_n: TopNComputer::new(req.size + req.from.unwrap_or(0)),
segment_ordinal,
accessor_idx,
}
}
fn into_top_hits_collector(
self,
value_accessors: &HashMap<String, Vec<DynamicColumn>>,
req: &TopHitsAggregation,
) -> TopHitsTopNComputer {
let mut top_hits_computer = TopHitsTopNComputer::new(req);
let top_results = self.top_n.into_vec();
for res in top_results {
let doc_value_fields = req.get_document_field_data(value_accessors, res.doc.doc_id);
top_hits_computer.collect(
DocSortValuesAndFields {
sorts: res.feature,
doc_value_fields,
},
res.doc,
);
}
top_hits_computer
}
/// TODO add a specialized variant for a single sort field
fn collect_with(
&mut self,
doc_id: crate::DocId,
req: &TopHitsAggregation,
accessors: &[(Column<u64>, ColumnType)],
) -> crate::Result<()> {
let sorts: Vec<DocValueAndOrder> = req
.sort
.iter()
.enumerate()
.map(|(idx, KeyOrder { order, .. })| {
let order = *order;
let value = accessors
.get(idx)
.expect("could not find field in accessors")
.0
.values_for_doc(doc_id)
.next();
DocValueAndOrder { value, order }
})
.collect();
self.top_n.push(
sorts,
DocAddress {
segment_ord: self.segment_ordinal,
doc_id,
},
);
Ok(())
}
}
impl SegmentAggregationCollector for TopHitsSegmentCollector {
fn add_intermediate_aggregation_result(
self: Box<Self>,
agg_with_accessor: &crate::aggregation::agg_req_with_accessor::AggregationsWithAccessor,
results: &mut crate::aggregation::intermediate_agg_result::IntermediateAggregationResults,
) -> crate::Result<()> {
let name = agg_with_accessor.aggs.keys[self.accessor_idx].to_string();
let value_accessors = &agg_with_accessor.aggs.values[self.accessor_idx].value_accessors;
let tophits_req = &agg_with_accessor.aggs.values[self.accessor_idx]
.agg
.agg
.as_top_hits()
.expect("aggregation request must be of type top hits");
let intermediate_result = IntermediateMetricResult::TopHits(
self.into_top_hits_collector(value_accessors, tophits_req),
);
results.push(
name,
IntermediateAggregationResult::Metric(intermediate_result),
)
}
/// TODO: Consider a caching layer to reduce the call overhead
fn collect(
&mut self,
doc_id: crate::DocId,
agg_with_accessor: &mut crate::aggregation::agg_req_with_accessor::AggregationsWithAccessor,
) -> crate::Result<()> {
let tophits_req = &agg_with_accessor.aggs.values[self.accessor_idx]
.agg
.agg
.as_top_hits()
.expect("aggregation request must be of type top hits");
let accessors = &agg_with_accessor.aggs.values[self.accessor_idx].accessors;
self.collect_with(doc_id, tophits_req, accessors)?;
Ok(())
}
fn collect_block(
&mut self,
docs: &[crate::DocId],
agg_with_accessor: &mut crate::aggregation::agg_req_with_accessor::AggregationsWithAccessor,
) -> crate::Result<()> {
let tophits_req = &agg_with_accessor.aggs.values[self.accessor_idx]
.agg
.agg
.as_top_hits()
.expect("aggregation request must be of type top hits");
let accessors = &agg_with_accessor.aggs.values[self.accessor_idx].accessors;
// TODO: Consider getting fields with the column block accessor.
for doc in docs {
self.collect_with(*doc, tophits_req, accessors)?;
}
Ok(())
}
}
#[cfg(test)]
mod tests {
use common::DateTime;
use pretty_assertions::assert_eq;
use serde_json::Value;
use time::macros::datetime;
use super::{DocSortValuesAndFields, DocValueAndOrder, Order};
use crate::aggregation::agg_req::Aggregations;
use crate::aggregation::agg_result::AggregationResults;
use crate::aggregation::bucket::tests::get_test_index_from_docs;
use crate::aggregation::tests::get_test_index_from_values;
use crate::aggregation::AggregationCollector;
use crate::collector::ComparableDoc;
use crate::query::AllQuery;
use crate::schema::OwnedValue;
fn invert_order(cmp_feature: DocValueAndOrder) -> DocValueAndOrder {
let DocValueAndOrder { value, order } = cmp_feature;
let order = match order {
Order::Asc => Order::Desc,
Order::Desc => Order::Asc,
};
DocValueAndOrder { value, order }
}
fn collector_with_capacity(capacity: usize) -> super::TopHitsTopNComputer {
super::TopHitsTopNComputer {
top_n: super::TopNComputer::new(capacity),
req: Default::default(),
}
}
fn invert_order_features(mut cmp_features: DocSortValuesAndFields) -> DocSortValuesAndFields {
cmp_features.sorts = cmp_features
.sorts
.into_iter()
.map(invert_order)
.collect::<Vec<_>>();
cmp_features
}
#[test]
fn test_comparable_doc_feature() -> crate::Result<()> {
let small = DocValueAndOrder {
value: Some(1),
order: Order::Asc,
};
let big = DocValueAndOrder {
value: Some(2),
order: Order::Asc,
};
let none = DocValueAndOrder {
value: None,
order: Order::Asc,
};
assert!(small < big);
assert!(none < small);
assert!(none < big);
let small = invert_order(small);
let big = invert_order(big);
let none = invert_order(none);
assert!(small > big);
assert!(none < small);
assert!(none < big);
Ok(())
}
#[test]
fn test_comparable_doc_features() -> crate::Result<()> {
let features_1 = DocSortValuesAndFields {
sorts: vec![DocValueAndOrder {
value: Some(1),
order: Order::Asc,
}],
doc_value_fields: Default::default(),
};
let features_2 = DocSortValuesAndFields {
sorts: vec![DocValueAndOrder {
value: Some(2),
order: Order::Asc,
}],
doc_value_fields: Default::default(),
};
assert!(features_1 < features_2);
assert!(invert_order_features(features_1.clone()) > invert_order_features(features_2));
Ok(())
}
#[test]
fn test_aggregation_top_hits_empty_index() -> crate::Result<()> {
let values = vec![];
let index = get_test_index_from_values(false, &values)?;
let d: Aggregations = serde_json::from_value(json!({
"top_hits_req": {
"top_hits": {
"size": 2,
"sort": [
{ "date": "desc" }
],
"from": 0,
}
}
}))
.unwrap();
let collector = AggregationCollector::from_aggs(d, Default::default());
let reader = index.reader()?;
let searcher = reader.searcher();
let agg_res: AggregationResults = searcher.search(&AllQuery, &collector).unwrap();
let res: Value = serde_json::from_str(
&serde_json::to_string(&agg_res).expect("JSON serialization failed"),
)
.expect("JSON parsing failed");
assert_eq!(
res,
json!({
"top_hits_req": {
"hits": []
}
})
);
Ok(())
}
#[test]
fn test_top_hits_collector_single_feature() -> crate::Result<()> {
let docs = vec![
ComparableDoc::<_, _, false> {
doc: crate::DocAddress {
segment_ord: 0,
doc_id: 0,
},
feature: DocSortValuesAndFields {
sorts: vec![DocValueAndOrder {
value: Some(1),
order: Order::Asc,
}],
doc_value_fields: Default::default(),
},
},
ComparableDoc {
doc: crate::DocAddress {
segment_ord: 0,
doc_id: 2,
},
feature: DocSortValuesAndFields {
sorts: vec![DocValueAndOrder {
value: Some(3),
order: Order::Asc,
}],
doc_value_fields: Default::default(),
},
},
ComparableDoc {
doc: crate::DocAddress {
segment_ord: 0,
doc_id: 1,
},
feature: DocSortValuesAndFields {
sorts: vec![DocValueAndOrder {
value: Some(5),
order: Order::Asc,
}],
doc_value_fields: Default::default(),
},
},
];
let mut collector = collector_with_capacity(3);
for doc in docs.clone() {
collector.collect(doc.feature, doc.doc);
}
let res = collector.into_final_result();
assert_eq!(
res,
super::TopHitsMetricResult {
hits: vec![
super::TopHitsVecEntry {
sort: vec![docs[0].feature.sorts[0].value],
doc_value_fields: Default::default(),
},
super::TopHitsVecEntry {
sort: vec![docs[1].feature.sorts[0].value],
doc_value_fields: Default::default(),
},
super::TopHitsVecEntry {
sort: vec![docs[2].feature.sorts[0].value],
doc_value_fields: Default::default(),
},
]
}
);
Ok(())
}
fn test_aggregation_top_hits(merge_segments: bool) -> crate::Result<()> {
let docs = vec![
vec![
r#"{ "date": "2015-01-02T00:00:00Z", "text": "bbb", "text2": "bbb", "mixed": { "dyn_arr": [1, "2"] } }"#,
r#"{ "date": "2017-06-15T00:00:00Z", "text": "ccc", "text2": "ddd", "mixed": { "dyn_arr": [3, "4"] } }"#,
],
vec![
r#"{ "text": "aaa", "text2": "bbb", "date": "2018-01-02T00:00:00Z", "mixed": { "dyn_arr": ["9", 8] } }"#,
r#"{ "text": "aaa", "text2": "bbb", "date": "2016-01-02T00:00:00Z", "mixed": { "dyn_arr": ["7", 6] } }"#,
],
];
let index = get_test_index_from_docs(merge_segments, &docs)?;
let d: Aggregations = serde_json::from_value(json!({
"top_hits_req": {
"top_hits": {
"size": 2,
"sort": [
{ "date": "desc" }
],
"from": 1,
"docvalue_fields": [
"date",
"tex*",
"mixed.*",
],
}
}
}))?;
let collector = AggregationCollector::from_aggs(d, Default::default());
let reader = index.reader()?;
let searcher = reader.searcher();
let agg_res =
serde_json::to_value(searcher.search(&AllQuery, &collector).unwrap()).unwrap();
let date_2017 = datetime!(2017-06-15 00:00:00 UTC);
let date_2016 = datetime!(2016-01-02 00:00:00 UTC);
assert_eq!(
agg_res["top_hits_req"],
json!({
"hits": [
{
"sort": [common::i64_to_u64(date_2017.unix_timestamp_nanos() as i64)],
"docvalue_fields": {
"date": [ OwnedValue::Date(DateTime::from_utc(date_2017)) ],
"text": [ "ccc" ],
"text2": [ "ddd" ],
"mixed.dyn_arr": [ 3, "4" ],
}
},
{
"sort": [common::i64_to_u64(date_2016.unix_timestamp_nanos() as i64)],
"docvalue_fields": {
"date": [ OwnedValue::Date(DateTime::from_utc(date_2016)) ],
"text": [ "aaa" ],
"text2": [ "bbb" ],
"mixed.dyn_arr": [ 6, "7" ],
}
}
]
}),
);
Ok(())
}
#[test]
fn test_aggregation_top_hits_single_segment() -> crate::Result<()> {
test_aggregation_top_hits(true)
}
#[test]
fn test_aggregation_top_hits_multi_segment() -> crate::Result<()> {
test_aggregation_top_hits(false)
}
}

105
src/aggregation/mod.rs
View File

@@ -143,7 +143,7 @@ use std::fmt::Display;
#[cfg(test)] #[cfg(test)]
mod agg_tests; mod agg_tests;
use core::fmt; mod agg_bench;
pub use agg_limits::AggregationLimits; pub use agg_limits::AggregationLimits;
pub use collector::{ pub use collector::{
@@ -154,105 +154,7 @@ use columnar::{ColumnType, MonotonicallyMappableToU64};
pub(crate) use date::format_date; pub(crate) use date::format_date;
pub use error::AggregationError; pub use error::AggregationError;
use itertools::Itertools; use itertools::Itertools;
use serde::de::{self, Visitor}; use serde::{Deserialize, Serialize};
use serde::{Deserialize, Deserializer, Serialize};
fn parse_str_into_f64<E: de::Error>(value: &str) -> Result<f64, E> {
let parsed = value
.parse::<f64>()
.map_err(|_err| de::Error::custom(format!("Failed to parse f64 from string: {value:?}")))?;
// Check if the parsed value is NaN or infinity
if parsed.is_nan() || parsed.is_infinite() {
Err(de::Error::custom(format!(
"Value is not a valid f64 (NaN or Infinity): {value:?}"
)))
} else {
Ok(parsed)
}
}
/// deserialize Option<f64> from string or float
pub(crate) fn deserialize_option_f64<'de, D>(deserializer: D) -> Result<Option<f64>, D::Error>
where D: Deserializer<'de> {
struct StringOrFloatVisitor;
impl<'de> Visitor<'de> for StringOrFloatVisitor {
type Value = Option<f64>;
fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {
formatter.write_str("a string or a float")
}
fn visit_str<E>(self, value: &str) -> Result<Self::Value, E>
where E: de::Error {
parse_str_into_f64(value).map(Some)
}
fn visit_f64<E>(self, value: f64) -> Result<Self::Value, E>
where E: de::Error {
Ok(Some(value))
}
fn visit_i64<E>(self, value: i64) -> Result<Self::Value, E>
where E: de::Error {
Ok(Some(value as f64))
}
fn visit_u64<E>(self, value: u64) -> Result<Self::Value, E>
where E: de::Error {
Ok(Some(value as f64))
}
fn visit_none<E>(self) -> Result<Self::Value, E>
where E: de::Error {
Ok(None)
}
fn visit_unit<E>(self) -> Result<Self::Value, E>
where E: de::Error {
Ok(None)
}
}
deserializer.deserialize_any(StringOrFloatVisitor)
}
/// deserialize f64 from string or float
pub(crate) fn deserialize_f64<'de, D>(deserializer: D) -> Result<f64, D::Error>
where D: Deserializer<'de> {
struct StringOrFloatVisitor;
impl<'de> Visitor<'de> for StringOrFloatVisitor {
type Value = f64;
fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {
formatter.write_str("a string or a float")
}
fn visit_str<E>(self, value: &str) -> Result<Self::Value, E>
where E: de::Error {
parse_str_into_f64(value)
}
fn visit_f64<E>(self, value: f64) -> Result<Self::Value, E>
where E: de::Error {
Ok(value)
}
fn visit_i64<E>(self, value: i64) -> Result<Self::Value, E>
where E: de::Error {
Ok(value as f64)
}
fn visit_u64<E>(self, value: u64) -> Result<Self::Value, E>
where E: de::Error {
Ok(value as f64)
}
}
deserializer.deserialize_any(StringOrFloatVisitor)
}
/// Represents an associative array `(key => values)` in a very efficient manner. /// Represents an associative array `(key => values)` in a very efficient manner.
#[derive(PartialEq, Serialize, Deserialize)] #[derive(PartialEq, Serialize, Deserialize)]
@@ -379,7 +281,6 @@ pub(crate) fn f64_from_fastfield_u64(val: u64, field_type: &ColumnType) -> f64 {
ColumnType::U64 => val as f64, ColumnType::U64 => val as f64,
ColumnType::I64 | ColumnType::DateTime => i64::from_u64(val) as f64, ColumnType::I64 | ColumnType::DateTime => i64::from_u64(val) as f64,
ColumnType::F64 => f64::from_u64(val), ColumnType::F64 => f64::from_u64(val),
ColumnType::Bool => val as f64,
_ => { _ => {
panic!("unexpected type {field_type:?}. This should not happen") panic!("unexpected type {field_type:?}. This should not happen")
} }
@@ -400,7 +301,6 @@ pub(crate) fn f64_to_fastfield_u64(val: f64, field_type: &ColumnType) -> Option<
ColumnType::U64 => Some(val as u64), ColumnType::U64 => Some(val as u64),
ColumnType::I64 | ColumnType::DateTime => Some((val as i64).to_u64()), ColumnType::I64 | ColumnType::DateTime => Some((val as i64).to_u64()),
ColumnType::F64 => Some(val.to_u64()), ColumnType::F64 => Some(val.to_u64()),
ColumnType::Bool => Some(val as u64),
_ => None, _ => None,
} }
} }
@@ -414,6 +314,7 @@ mod tests {
use time::OffsetDateTime; use time::OffsetDateTime;
use super::agg_req::Aggregations; use super::agg_req::Aggregations;
use super::segment_agg_result::AggregationLimits;
use super::*; use super::*;
use crate::indexer::NoMergePolicy; use crate::indexer::NoMergePolicy;
use crate::query::{AllQuery, TermQuery}; use crate::query::{AllQuery, TermQuery};

11
src/aggregation/segment_agg_result.rs
View File

@@ -11,12 +11,11 @@ use super::agg_req_with_accessor::{AggregationWithAccessor, AggregationsWithAcce
use super::bucket::{SegmentHistogramCollector, SegmentRangeCollector, SegmentTermCollector}; use super::bucket::{SegmentHistogramCollector, SegmentRangeCollector, SegmentTermCollector};
use super::intermediate_agg_result::IntermediateAggregationResults; use super::intermediate_agg_result::IntermediateAggregationResults;
use super::metric::{ use super::metric::{
AverageAggregation, CountAggregation, ExtendedStatsAggregation, MaxAggregation, MinAggregation, AverageAggregation, CountAggregation, MaxAggregation, MinAggregation,
SegmentPercentilesCollector, SegmentStatsCollector, SegmentStatsType, StatsAggregation, SegmentPercentilesCollector, SegmentStatsCollector, SegmentStatsType, StatsAggregation,
SumAggregation, SumAggregation,
}; };
use crate::aggregation::bucket::TermMissingAgg; use crate::aggregation::bucket::TermMissingAgg;
use crate::aggregation::metric::{SegmentExtendedStatsCollector, TopHitsSegmentCollector};
pub(crate) trait SegmentAggregationCollector: CollectorClone + Debug { pub(crate) trait SegmentAggregationCollector: CollectorClone + Debug {
fn add_intermediate_aggregation_result( fn add_intermediate_aggregation_result(
@@ -148,9 +147,6 @@ pub(crate) fn build_single_agg_segment_collector(
accessor_idx, accessor_idx,
*missing, *missing,
))), ))),
ExtendedStats(ExtendedStatsAggregation { missing, sigma, .. }) => Ok(Box::new(
SegmentExtendedStatsCollector::from_req(req.field_type, *sigma, accessor_idx, *missing),
)),
Sum(SumAggregation { missing, .. }) => Ok(Box::new(SegmentStatsCollector::from_req( Sum(SumAggregation { missing, .. }) => Ok(Box::new(SegmentStatsCollector::from_req(
req.field_type, req.field_type,
SegmentStatsType::Sum, SegmentStatsType::Sum,
@@ -164,11 +160,6 @@ pub(crate) fn build_single_agg_segment_collector(
accessor_idx, accessor_idx,
)?, )?,
)), )),
TopHits(top_hits_req) => Ok(Box::new(TopHitsSegmentCollector::from_req(
top_hits_req,
accessor_idx,
req.segment_ordinal,
))),
} }
} }

11
src/collector/facet_collector.rs
View File

@@ -1,7 +1,7 @@
use std::cmp::Ordering; use std::cmp::Ordering;
use std::collections::{btree_map, BTreeMap, BTreeSet, BinaryHeap}; use std::collections::{btree_map, BTreeMap, BTreeSet, BinaryHeap};
use std::io;
use std::ops::Bound; use std::ops::Bound;
use std::{io, u64, usize};
use crate::collector::{Collector, SegmentCollector}; use crate::collector::{Collector, SegmentCollector};
use crate::fastfield::FacetReader; use crate::fastfield::FacetReader;
@@ -410,7 +410,6 @@ impl SegmentCollector for FacetSegmentCollector {
/// Intermediary result of the `FacetCollector` that stores /// Intermediary result of the `FacetCollector` that stores
/// the facet counts for all the segments. /// the facet counts for all the segments.
#[derive(Default, Clone)]
pub struct FacetCounts { pub struct FacetCounts {
facet_counts: BTreeMap<Facet, u64>, facet_counts: BTreeMap<Facet, u64>,
} }
@@ -494,7 +493,7 @@ mod tests {
use super::{FacetCollector, FacetCounts}; use super::{FacetCollector, FacetCounts};
use crate::collector::facet_collector::compress_mapping; use crate::collector::facet_collector::compress_mapping;
use crate::collector::Count; use crate::collector::Count;
use crate::index::Index; use crate::core::Index;
use crate::query::{AllQuery, QueryParser, TermQuery}; use crate::query::{AllQuery, QueryParser, TermQuery};
use crate::schema::{Facet, FacetOptions, IndexRecordOption, Schema, TantivyDocument}; use crate::schema::{Facet, FacetOptions, IndexRecordOption, Schema, TantivyDocument};
use crate::{IndexWriter, Term}; use crate::{IndexWriter, Term};
@@ -598,7 +597,7 @@ mod tests {
let mid = n % 4; let mid = n % 4;
n /= 4; n /= 4;
let leaf = n % 5; let leaf = n % 5;
Facet::from(&format!("/top{top}/mid{mid}/leaf{leaf}")) Facet::from(&format!("/top{}/mid{}/leaf{}", top, mid, leaf))
}) })
.collect(); .collect();
for i in 0..num_facets * 10 { for i in 0..num_facets * 10 {
@@ -737,7 +736,7 @@ mod tests {
vec![("a", 10), ("b", 100), ("c", 7), ("d", 12), ("e", 21)] vec![("a", 10), ("b", 100), ("c", 7), ("d", 12), ("e", 21)]
.into_iter() .into_iter()
.flat_map(|(c, count)| { .flat_map(|(c, count)| {
let facet = Facet::from(&format!("/facet/{c}")); let facet = Facet::from(&format!("/facet/{}", c));
let doc = doc!(facet_field => facet); let doc = doc!(facet_field => facet);
iter::repeat(doc).take(count) iter::repeat(doc).take(count)
}) })
@@ -785,7 +784,7 @@ mod tests {
let docs: Vec<TantivyDocument> = vec![("b", 2), ("a", 2), ("c", 4)] let docs: Vec<TantivyDocument> = vec![("b", 2), ("a", 2), ("c", 4)]
.into_iter() .into_iter()
.flat_map(|(c, count)| { .flat_map(|(c, count)| {
let facet = Facet::from(&format!("/facet/{c}")); let facet = Facet::from(&format!("/facet/{}", c));
let doc = doc!(facet_field => facet); let doc = doc!(facet_field => facet);
iter::repeat(doc).take(count) iter::repeat(doc).take(count)
}) })

2
src/collector/histogram_collector.rs
View File

@@ -160,7 +160,7 @@ mod tests {
use super::{add_vecs, HistogramCollector, HistogramComputer}; use super::{add_vecs, HistogramCollector, HistogramComputer};
use crate::schema::{Schema, FAST}; use crate::schema::{Schema, FAST};
use crate::time::{Date, Month}; use crate::time::{Date, Month};
use crate::{query, DateTime, Index}; use crate::{doc, query, DateTime, Index};
#[test] #[test]
fn test_add_histograms_simple() { fn test_add_histograms_simple() {

5
src/collector/mod.rs
View File

@@ -97,7 +97,6 @@ pub use self::multi_collector::{FruitHandle, MultiCollector, MultiFruit};
mod top_collector; mod top_collector;
mod top_score_collector; mod top_score_collector;
pub use self::top_collector::ComparableDoc;
pub use self::top_score_collector::{TopDocs, TopNComputer}; pub use self::top_score_collector::{TopDocs, TopNComputer};
mod custom_score_top_collector; mod custom_score_top_collector;
@@ -274,10 +273,6 @@ pub trait SegmentCollector: 'static {
fn collect(&mut self, doc: DocId, score: Score); fn collect(&mut self, doc: DocId, score: Score);
/// The query pushes the scored document to the collector via this method. /// The query pushes the scored document to the collector via this method.
/// This method is used when the collector does not require scoring.
///
/// See [`COLLECT_BLOCK_BUFFER_LEN`](crate::COLLECT_BLOCK_BUFFER_LEN) for the
/// buffer size passed to the collector.
fn collect_block(&mut self, docs: &[DocId]) { fn collect_block(&mut self, docs: &[DocId]) {
for doc in docs { for doc in docs {
self.collect(*doc, 0.0); self.collect(*doc, 0.0);

16
src/collector/multi_collector.rs
View File

@@ -52,16 +52,10 @@ impl<TCollector: Collector> Collector for CollectorWrapper<TCollector> {
impl SegmentCollector for Box<dyn BoxableSegmentCollector> { impl SegmentCollector for Box<dyn BoxableSegmentCollector> {
type Fruit = Box<dyn Fruit>; type Fruit = Box<dyn Fruit>;
#[inline]
fn collect(&mut self, doc: u32, score: Score) { fn collect(&mut self, doc: u32, score: Score) {
self.as_mut().collect(doc, score); self.as_mut().collect(doc, score);
} }
#[inline]
fn collect_block(&mut self, docs: &[DocId]) {
self.as_mut().collect_block(docs);
}
fn harvest(self) -> Box<dyn Fruit> { fn harvest(self) -> Box<dyn Fruit> {
BoxableSegmentCollector::harvest_from_box(self) BoxableSegmentCollector::harvest_from_box(self)
} }
@@ -69,11 +63,6 @@ impl SegmentCollector for Box<dyn BoxableSegmentCollector> {
pub trait BoxableSegmentCollector { pub trait BoxableSegmentCollector {
fn collect(&mut self, doc: u32, score: Score); fn collect(&mut self, doc: u32, score: Score);
fn collect_block(&mut self, docs: &[DocId]) {
for &doc in docs {
self.collect(doc, 0.0);
}
}
fn harvest_from_box(self: Box<Self>) -> Box<dyn Fruit>; fn harvest_from_box(self: Box<Self>) -> Box<dyn Fruit>;
} }
@@ -82,14 +71,9 @@ pub struct SegmentCollectorWrapper<TSegmentCollector: SegmentCollector>(TSegment
impl<TSegmentCollector: SegmentCollector> BoxableSegmentCollector impl<TSegmentCollector: SegmentCollector> BoxableSegmentCollector
for SegmentCollectorWrapper<TSegmentCollector> for SegmentCollectorWrapper<TSegmentCollector>
{ {
#[inline]
fn collect(&mut self, doc: u32, score: Score) { fn collect(&mut self, doc: u32, score: Score) {
self.0.collect(doc, score); self.0.collect(doc, score);
} }
#[inline]
fn collect_block(&mut self, docs: &[DocId]) {
self.0.collect_block(docs);
}
fn harvest_from_box(self: Box<Self>) -> Box<dyn Fruit> { fn harvest_from_box(self: Box<Self>) -> Box<dyn Fruit> {
Box::new(self.0.harvest()) Box::new(self.0.harvest())

6
src/collector/tests.rs
View File

@@ -1,11 +1,15 @@
use columnar::{BytesColumn, Column}; use columnar::{BytesColumn, Column};
use super::*; use super::*;
use crate::collector::{Count, FilterCollector, TopDocs};
use crate::core::SegmentReader;
use crate::query::{AllQuery, QueryParser}; use crate::query::{AllQuery, QueryParser};
use crate::schema::{Schema, FAST, TEXT}; use crate::schema::{Schema, FAST, TEXT};
use crate::time::format_description::well_known::Rfc3339; use crate::time::format_description::well_known::Rfc3339;
use crate::time::OffsetDateTime; use crate::time::OffsetDateTime;
use crate::{DateTime, DocAddress, Index, Searcher, TantivyDocument}; use crate::{
doc, DateTime, DocAddress, DocId, Index, Score, Searcher, SegmentOrdinal, TantivyDocument,
};
pub const TEST_COLLECTOR_WITH_SCORE: TestCollector = TestCollector { pub const TEST_COLLECTOR_WITH_SCORE: TestCollector = TestCollector {
compute_score: true, compute_score: true,

50
src/collector/top_collector.rs
View File

@@ -1,59 +1,47 @@
use std::cmp::Ordering; use std::cmp::Ordering;
use std::marker::PhantomData; use std::marker::PhantomData;
use serde::{Deserialize, Serialize};
use super::top_score_collector::TopNComputer; use super::top_score_collector::TopNComputer;
use crate::index::SegmentReader; use crate::{DocAddress, DocId, SegmentOrdinal, SegmentReader};
use crate::{DocAddress, DocId, SegmentOrdinal};
/// Contains a feature (field, score, etc.) of a document along with the document address. /// Contains a feature (field, score, etc.) of a document along with the document address.
/// ///
/// It guarantees stable sorting: in case of a tie on the feature, the document /// It has a custom implementation of `PartialOrd` that reverses the order. This is because the
/// address is used. /// default Rust heap is a max heap, whereas a min heap is needed.
/// ///
/// The REVERSE_ORDER generic parameter controls whether the by-feature order /// Additionally, it guarantees stable sorting: in case of a tie on the feature, the document
/// should be reversed, which is useful for achieving for example largest-first /// address is used.
/// semantics without having to wrap the feature in a `Reverse`.
/// ///
/// WARNING: equality is not what you would expect here. /// WARNING: equality is not what you would expect here.
/// Two elements are equal if their feature is equal, and regardless of whether `doc` /// Two elements are equal if their feature is equal, and regardless of whether `doc`
/// is equal. This should be perfectly fine for this usage, but let's make sure this /// is equal. This should be perfectly fine for this usage, but let's make sure this
/// struct is never public. /// struct is never public.
#[derive(Clone, Default, Serialize, Deserialize)] pub(crate) struct ComparableDoc<T, D> {
pub struct ComparableDoc<T, D, const REVERSE_ORDER: bool = false> {
/// The feature of the document. In practice, this is
/// is any type that implements `PartialOrd`.
pub feature: T, pub feature: T,
/// The document address. In practice, this is any
/// type that implements `PartialOrd`, and is guaranteed
/// to be unique for each document.
pub doc: D, pub doc: D,
} }
impl<T: std::fmt::Debug, D: std::fmt::Debug, const R: bool> std::fmt::Debug impl<T: std::fmt::Debug, D: std::fmt::Debug> std::fmt::Debug for ComparableDoc<T, D> {
for ComparableDoc<T, D, R>
{
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct(format!("ComparableDoc<_, _ {R}").as_str()) f.debug_struct("ComparableDoc")
.field("feature", &self.feature) .field("feature", &self.feature)
.field("doc", &self.doc) .field("doc", &self.doc)
.finish() .finish()
} }
} }
impl<T: PartialOrd, D: PartialOrd, const R: bool> PartialOrd for ComparableDoc<T, D, R> { impl<T: PartialOrd, D: PartialOrd> PartialOrd for ComparableDoc<T, D> {
fn partial_cmp(&self, other: &Self) -> Option<Ordering> { fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
Some(self.cmp(other)) Some(self.cmp(other))
} }
} }
impl<T: PartialOrd, D: PartialOrd, const R: bool> Ord for ComparableDoc<T, D, R> { impl<T: PartialOrd, D: PartialOrd> Ord for ComparableDoc<T, D> {
#[inline] #[inline]
fn cmp(&self, other: &Self) -> Ordering { fn cmp(&self, other: &Self) -> Ordering {
let by_feature = self // Reversed to make BinaryHeap work as a min-heap
let by_feature = other
.feature .feature
.partial_cmp(&other.feature) .partial_cmp(&self.feature)
.map(|ord| if R { ord.reverse() } else { ord })
.unwrap_or(Ordering::Equal); .unwrap_or(Ordering::Equal);
let lazy_by_doc_address = || self.doc.partial_cmp(&other.doc).unwrap_or(Ordering::Equal); let lazy_by_doc_address = || self.doc.partial_cmp(&other.doc).unwrap_or(Ordering::Equal);
@@ -65,13 +53,13 @@ impl<T: PartialOrd, D: PartialOrd, const R: bool> Ord for ComparableDoc<T, D, R>
} }
} }
impl<T: PartialOrd, D: PartialOrd, const R: bool> PartialEq for ComparableDoc<T, D, R> { impl<T: PartialOrd, D: PartialOrd> PartialEq for ComparableDoc<T, D> {
fn eq(&self, other: &Self) -> bool { fn eq(&self, other: &Self) -> bool {
self.cmp(other) == Ordering::Equal self.cmp(other) == Ordering::Equal
} }
} }
impl<T: PartialOrd, D: PartialOrd, const R: bool> Eq for ComparableDoc<T, D, R> {} impl<T: PartialOrd, D: PartialOrd> Eq for ComparableDoc<T, D> {}
pub(crate) struct TopCollector<T> { pub(crate) struct TopCollector<T> {
pub limit: usize, pub limit: usize,
@@ -111,10 +99,10 @@ where T: PartialOrd + Clone
if self.limit == 0 { if self.limit == 0 {
return Ok(Vec::new()); return Ok(Vec::new());
} }
let mut top_collector: TopNComputer<_, _> = TopNComputer::new(self.limit + self.offset); let mut top_collector = TopNComputer::new(self.limit + self.offset);
for child_fruit in children { for child_fruit in children {
for (feature, doc) in child_fruit { for (feature, doc) in child_fruit {
top_collector.push(feature, doc); top_collector.push(ComparableDoc { feature, doc });
} }
} }
@@ -155,8 +143,6 @@ where T: PartialOrd + Clone
/// The theoretical complexity for collecting the top `K` out of `n` documents /// The theoretical complexity for collecting the top `K` out of `n` documents
/// is `O(n + K)`. /// is `O(n + K)`.
pub(crate) struct TopSegmentCollector<T> { pub(crate) struct TopSegmentCollector<T> {
/// We reverse the order of the feature in order to
/// have top-semantics instead of bottom semantics.
topn_computer: TopNComputer<T, DocId>, topn_computer: TopNComputer<T, DocId>,
segment_ord: u32, segment_ord: u32,
} }
@@ -194,7 +180,7 @@ impl<T: PartialOrd + Clone> TopSegmentCollector<T> {
/// will compare the lowest scoring item with the given one and keep whichever is greater. /// will compare the lowest scoring item with the given one and keep whichever is greater.
#[inline] #[inline]
pub fn collect(&mut self, doc: DocId, feature: T) { pub fn collect(&mut self, doc: DocId, feature: T) {
self.topn_computer.push(feature, doc); self.topn_computer.push(ComparableDoc { feature, doc });
} }
} }

177
src/collector/top_score_collector.rs
View File

@@ -3,8 +3,6 @@ use std::marker::PhantomData;
use std::sync::Arc; use std::sync::Arc;
use columnar::ColumnValues; use columnar::ColumnValues;
use serde::de::DeserializeOwned;
use serde::{Deserialize, Serialize};
use super::Collector; use super::Collector;
use crate::collector::custom_score_top_collector::CustomScoreTopCollector; use crate::collector::custom_score_top_collector::CustomScoreTopCollector;
@@ -311,7 +309,7 @@ impl TopDocs {
/// ///
/// To comfortably work with `u64`s, `i64`s, `f64`s, or `date`s, please refer to /// To comfortably work with `u64`s, `i64`s, `f64`s, or `date`s, please refer to
/// the [.order_by_fast_field(...)](TopDocs::order_by_fast_field) method. /// the [.order_by_fast_field(...)](TopDocs::order_by_fast_field) method.
pub fn order_by_u64_field( fn order_by_u64_field(
self, self,
field: impl ToString, field: impl ToString,
order: Order, order: Order,
@@ -665,7 +663,7 @@ impl Collector for TopDocs {
reader: &SegmentReader, reader: &SegmentReader,
) -> crate::Result<<Self::Child as SegmentCollector>::Fruit> { ) -> crate::Result<<Self::Child as SegmentCollector>::Fruit> {
let heap_len = self.0.limit + self.0.offset; let heap_len = self.0.limit + self.0.offset;
let mut top_n: TopNComputer<_, _> = TopNComputer::new(heap_len); let mut top_n = TopNComputer::new(heap_len);
if let Some(alive_bitset) = reader.alive_bitset() { if let Some(alive_bitset) = reader.alive_bitset() {
let mut threshold = Score::MIN; let mut threshold = Score::MIN;
@@ -674,13 +672,21 @@ impl Collector for TopDocs {
if alive_bitset.is_deleted(doc) { if alive_bitset.is_deleted(doc) {
return threshold; return threshold;
} }
top_n.push(score, doc); let doc = ComparableDoc {
feature: score,
doc,
};
top_n.push(doc);
threshold = top_n.threshold.unwrap_or(Score::MIN); threshold = top_n.threshold.unwrap_or(Score::MIN);
threshold threshold
})?; })?;
} else { } else {
weight.for_each_pruning(Score::MIN, reader, &mut |doc, score| { weight.for_each_pruning(Score::MIN, reader, &mut |doc, score| {
top_n.push(score, doc); let doc = ComparableDoc {
feature: score,
doc,
};
top_n.push(doc);
top_n.threshold.unwrap_or(Score::MIN) top_n.threshold.unwrap_or(Score::MIN)
})?; })?;
} }
@@ -719,78 +725,17 @@ impl SegmentCollector for TopScoreSegmentCollector {
/// Fast TopN Computation /// Fast TopN Computation
/// ///
/// Capacity of the vec is 2 * top_n.
/// The buffer is truncated to the top_n elements when it reaches the capacity of the Vec.
/// That means capacity has special meaning and should be carried over when cloning or serializing.
///
/// For TopN == 0, it will be relative expensive. /// For TopN == 0, it will be relative expensive.
#[derive(Serialize, Deserialize)] pub struct TopNComputer<Score, DocId> {
#[serde(from = "TopNComputerDeser<Score, D, REVERSE_ORDER>")] buffer: Vec<ComparableDoc<Score, DocId>>,
pub struct TopNComputer<Score, D, const REVERSE_ORDER: bool = true> {
/// The buffer reverses sort order to get top-semantics instead of bottom-semantics
buffer: Vec<ComparableDoc<Score, D, REVERSE_ORDER>>,
top_n: usize, top_n: usize,
pub(crate) threshold: Option<Score>, pub(crate) threshold: Option<Score>,
} }
impl<Score: std::fmt::Debug, D, const REVERSE_ORDER: bool> std::fmt::Debug impl<Score, DocId> TopNComputer<Score, DocId>
for TopNComputer<Score, D, REVERSE_ORDER>
{
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("TopNComputer")
.field("buffer_len", &self.buffer.len())
.field("top_n", &self.top_n)
.field("current_threshold", &self.threshold)
.finish()
}
}
// Intermediate struct for TopNComputer for deserialization, to keep vec capacity
#[derive(Deserialize)]
struct TopNComputerDeser<Score, D, const REVERSE_ORDER: bool> {
buffer: Vec<ComparableDoc<Score, D, REVERSE_ORDER>>,
top_n: usize,
threshold: Option<Score>,
}
// Custom clone to keep capacity
impl<Score: Clone, D: Clone, const REVERSE_ORDER: bool> Clone
for TopNComputer<Score, D, REVERSE_ORDER>
{
fn clone(&self) -> Self {
let mut buffer_clone = Vec::with_capacity(self.buffer.capacity());
buffer_clone.extend(self.buffer.iter().cloned());
TopNComputer {
buffer: buffer_clone,
top_n: self.top_n,
threshold: self.threshold.clone(),
}
}
}
impl<Score, D, const R: bool> From<TopNComputerDeser<Score, D, R>> for TopNComputer<Score, D, R> {
fn from(mut value: TopNComputerDeser<Score, D, R>) -> Self {
let expected_cap = value.top_n.max(1) * 2;
let current_cap = value.buffer.capacity();
if current_cap < expected_cap {
value.buffer.reserve_exact(expected_cap - current_cap);
} else {
value.buffer.shrink_to(expected_cap);
}
TopNComputer {
buffer: value.buffer,
top_n: value.top_n,
threshold: value.threshold,
}
}
}
impl<Score, D, const R: bool> TopNComputer<Score, D, R>
where where
Score: PartialOrd + Clone, Score: PartialOrd + Clone,
D: Serialize + DeserializeOwned + Ord + Clone, DocId: Ord + Clone,
{ {
/// Create a new `TopNComputer`. /// Create a new `TopNComputer`.
/// Internally it will allocate a buffer of size `2 * top_n`. /// Internally it will allocate a buffer of size `2 * top_n`.
@@ -803,12 +748,10 @@ where
} }
} }
/// Push a new document to the top n.
/// If the document is below the current threshold, it will be ignored.
#[inline] #[inline]
pub fn push(&mut self, feature: Score, doc: D) { pub(crate) fn push(&mut self, doc: ComparableDoc<Score, DocId>) {
if let Some(last_median) = self.threshold.clone() { if let Some(last_median) = self.threshold.clone() {
if feature < last_median { if doc.feature < last_median {
return; return;
} }
} }
@@ -823,7 +766,7 @@ where
let uninit = self.buffer.spare_capacity_mut(); let uninit = self.buffer.spare_capacity_mut();
// This cannot panic, because we truncate_median will at least remove one element, since // This cannot panic, because we truncate_median will at least remove one element, since
// the min capacity is 2. // the min capacity is 2.
uninit[0].write(ComparableDoc { doc, feature }); uninit[0].write(doc);
// This is safe because it would panic in the line above // This is safe because it would panic in the line above
unsafe { unsafe {
self.buffer.set_len(self.buffer.len() + 1); self.buffer.set_len(self.buffer.len() + 1);
@@ -842,24 +785,13 @@ where
median_score median_score
} }
/// Returns the top n elements in sorted order. pub(crate) fn into_sorted_vec(mut self) -> Vec<ComparableDoc<Score, DocId>> {
pub fn into_sorted_vec(mut self) -> Vec<ComparableDoc<Score, D, R>> {
if self.buffer.len() > self.top_n { if self.buffer.len() > self.top_n {
self.truncate_top_n(); self.truncate_top_n();
} }
self.buffer.sort_unstable(); self.buffer.sort_unstable();
self.buffer self.buffer
} }
/// Returns the top n elements in stored order.
/// Useful if you do not need the elements in sorted order,
/// for example when merging the results of multiple segments.
pub fn into_vec(mut self) -> Vec<ComparableDoc<Score, D, R>> {
if self.buffer.len() > self.top_n {
self.truncate_top_n();
}
self.buffer
}
} }
#[cfg(test)] #[cfg(test)]
@@ -871,10 +803,7 @@ mod tests {
use crate::schema::{Field, Schema, FAST, STORED, TEXT}; use crate::schema::{Field, Schema, FAST, STORED, TEXT};
use crate::time::format_description::well_known::Rfc3339; use crate::time::format_description::well_known::Rfc3339;
use crate::time::OffsetDateTime; use crate::time::OffsetDateTime;
use crate::{ use crate::{DateTime, DocAddress, DocId, Index, IndexWriter, Order, Score, SegmentReader};
assert_nearly_equals, DateTime, DocAddress, DocId, Index, IndexWriter, Order, Score,
SegmentReader,
};
fn make_index() -> crate::Result<Index> { fn make_index() -> crate::Result<Index> {
let mut schema_builder = Schema::builder(); let mut schema_builder = Schema::builder();
@@ -896,44 +825,49 @@ mod tests {
crate::assert_nearly_equals!(result.0, expected.0); crate::assert_nearly_equals!(result.0, expected.0);
} }
} }
#[test]
fn test_topn_computer_serde() {
let computer: TopNComputer<u32, u32> = TopNComputer::new(1);
let computer_ser = serde_json::to_string(&computer).unwrap();
let mut computer: TopNComputer<u32, u32> = serde_json::from_str(&computer_ser).unwrap();
computer.push(1u32, 5u32);
computer.push(1u32, 0u32);
computer.push(1u32, 7u32);
assert_eq!(
computer.into_sorted_vec(),
&[ComparableDoc {
feature: 1u32,
doc: 0u32,
},]
);
}
#[test] #[test]
fn test_empty_topn_computer() { fn test_empty_topn_computer() {
let mut computer: TopNComputer<u32, u32> = TopNComputer::new(0); let mut computer: TopNComputer<u32, u32> = TopNComputer::new(0);
computer.push(1u32, 1u32); computer.push(ComparableDoc {
computer.push(1u32, 2u32); feature: 1u32,
computer.push(1u32, 3u32); doc: 1u32,
});
computer.push(ComparableDoc {
feature: 1u32,
doc: 2u32,
});
computer.push(ComparableDoc {
feature: 1u32,
doc: 3u32,
});
assert!(computer.into_sorted_vec().is_empty()); assert!(computer.into_sorted_vec().is_empty());
} }
#[test] #[test]
fn test_topn_computer() { fn test_topn_computer() {
let mut computer: TopNComputer<u32, u32> = TopNComputer::new(2); let mut computer: TopNComputer<u32, u32> = TopNComputer::new(2);
computer.push(1u32, 1u32); computer.push(ComparableDoc {
computer.push(2u32, 2u32); feature: 1u32,
computer.push(3u32, 3u32); doc: 1u32,
computer.push(2u32, 4u32); });
computer.push(1u32, 5u32); computer.push(ComparableDoc {
feature: 2u32,
doc: 2u32,
});
computer.push(ComparableDoc {
feature: 3u32,
doc: 3u32,
});
computer.push(ComparableDoc {
feature: 2u32,
doc: 4u32,
});
computer.push(ComparableDoc {
feature: 1u32,
doc: 5u32,
});
assert_eq!( assert_eq!(
computer.into_sorted_vec(), computer.into_sorted_vec(),
&[ &[
@@ -955,7 +889,10 @@ mod tests {
let mut computer: TopNComputer<u32, u32> = TopNComputer::new(top_n); let mut computer: TopNComputer<u32, u32> = TopNComputer::new(top_n);
for _ in 0..1 + top_n * 2 { for _ in 0..1 + top_n * 2 {
computer.push(1u32, 1u32); computer.push(ComparableDoc {
feature: 1u32,
doc: 1u32,
});
} }
let _vals = computer.into_sorted_vec(); let _vals = computer.into_sorted_vec();
} }

113
src/core/executor.rs
View File

@@ -1,25 +1,19 @@
use std::sync::Arc; use rayon::{ThreadPool, ThreadPoolBuilder};
#[cfg(feature = "quickwit")]
use futures_util::{future::Either, FutureExt};
use crate::TantivyError; use crate::TantivyError;
/// Executor makes it possible to run tasks in single thread or /// Search executor whether search request are single thread or multithread.
/// in a thread pool. ///
#[derive(Clone)] /// We don't expose Rayon thread pool directly here for several reasons.
///
/// First dependency hell. It is not a good idea to expose the
/// API of a dependency, knowing it might conflict with a different version
/// used by the client. Second, we may stop using rayon in the future.
pub enum Executor { pub enum Executor {
/// Single thread variant of an Executor /// Single thread variant of an Executor
SingleThread, SingleThread,
/// Thread pool variant of an Executor /// Thread pool variant of an Executor
ThreadPool(Arc<rayon::ThreadPool>), ThreadPool(ThreadPool),
}
#[cfg(feature = "quickwit")]
impl From<Arc<rayon::ThreadPool>> for Executor {
fn from(thread_pool: Arc<rayon::ThreadPool>) -> Self {
Executor::ThreadPool(thread_pool)
}
} }
impl Executor { impl Executor {
@@ -30,11 +24,11 @@ impl Executor {
/// Creates an Executor that dispatches the tasks in a thread pool. /// Creates an Executor that dispatches the tasks in a thread pool.
pub fn multi_thread(num_threads: usize, prefix: &'static str) -> crate::Result<Executor> { pub fn multi_thread(num_threads: usize, prefix: &'static str) -> crate::Result<Executor> {
let pool = rayon::ThreadPoolBuilder::new() let pool = ThreadPoolBuilder::new()
.num_threads(num_threads) .num_threads(num_threads)
.thread_name(move |num| format!("{prefix}{num}")) .thread_name(move |num| format!("{prefix}{num}"))
.build()?; .build()?;
Ok(Executor::ThreadPool(Arc::new(pool))) Ok(Executor::ThreadPool(pool))
} }
/// Perform a map in the thread pool. /// Perform a map in the thread pool.
@@ -97,36 +91,11 @@ impl Executor {
} }
} }
} }
/// Spawn a task on the pool, returning a future completing on task success.
///
/// If the task panic, returns `Err(())`.
#[cfg(feature = "quickwit")]
pub fn spawn_blocking<T: Send + 'static>(
&self,
cpu_intensive_task: impl FnOnce() -> T + Send + 'static,
) -> impl std::future::Future<Output = Result<T, ()>> {
match self {
Executor::SingleThread => Either::Left(std::future::ready(Ok(cpu_intensive_task()))),
Executor::ThreadPool(pool) => {
let (sender, receiver) = oneshot::channel();
pool.spawn(|| {
if sender.is_closed() {
return;
}
let task_result = cpu_intensive_task();
let _ = sender.send(task_result);
});
let res = receiver.map(|res| res.map_err(|_| ()));
Either::Right(res)
}
}
}
} }
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use super::Executor; use super::Executor;
#[test] #[test]
@@ -178,62 +147,4 @@ mod tests {
assert_eq!(result[i], i * 2); assert_eq!(result[i], i * 2);
} }
} }
#[cfg(feature = "quickwit")]
#[test]
fn test_cancel_cpu_intensive_tasks() {
use std::sync::atomic::{AtomicU64, Ordering};
use std::sync::Arc;
let counter: Arc<AtomicU64> = Default::default();
let other_counter: Arc<AtomicU64> = Default::default();
let mut futures = Vec::new();
let mut other_futures = Vec::new();
let (tx, rx) = crossbeam_channel::bounded::<()>(0);
let rx = Arc::new(rx);
let executor = Executor::multi_thread(3, "search-test").unwrap();
for _ in 0..1000 {
let counter_clone: Arc<AtomicU64> = counter.clone();
let other_counter_clone: Arc<AtomicU64> = other_counter.clone();
let rx_clone = rx.clone();
let rx_clone2 = rx.clone();
let fut = executor.spawn_blocking(move || {
counter_clone.fetch_add(1, Ordering::SeqCst);
let _ = rx_clone.recv();
});
futures.push(fut);
let other_fut = executor.spawn_blocking(move || {
other_counter_clone.fetch_add(1, Ordering::SeqCst);
let _ = rx_clone2.recv();
});
other_futures.push(other_fut);
}
// We execute 100 futures.
for _ in 0..100 {
tx.send(()).unwrap();
}
let counter_val = counter.load(Ordering::SeqCst);
let other_counter_val = other_counter.load(Ordering::SeqCst);
assert!(counter_val >= 30);
assert!(other_counter_val >= 30);
drop(other_futures);
// We execute 100 futures.
for _ in 0..100 {
tx.send(()).unwrap();
}
let counter_val2 = counter.load(Ordering::SeqCst);
assert!(counter_val2 >= counter_val + 100 - 6);
let other_counter_val2 = other_counter.load(Ordering::SeqCst);
assert!(other_counter_val2 <= other_counter_val + 6);
}
} }

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