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123 Commits

Author SHA1 Message Date
Pascal Seitz
a3175f5341 bump to 0.24.2 2025-07-17 10:44:54 +08:00
Pascal Seitz
203b0eebf1 Fix TopNComputer for reverse order 2025-07-17 10:40:01 +08:00
Pascal Seitz
eb37dbee26 bump required rust version to 1.81 2025-04-22 09:50:40 +08:00
Pascal Seitz
c6e77d27c6 chore: Release 2025-04-09 16:58:45 +08:00
Pascal Seitz
db6587ed9b chore: Release 2025-04-09 16:57:04 +08:00
Paul Masurel
3fa90e70e2 Merge pull request #2618 from quickwit-oss/release_tantivy
fix tantivy-query-grammar version
2025-04-09 09:54:09 +02:00
Pascal Seitz
6ab4102253 fix tantivy-query-grammar version 2025-04-09 14:35:23 +08:00
PSeitz
11c6329ca5 temp unbump version (#2501)
temp unbump to 0.22 for easier release with `cargo release`
2025-04-09 08:09:41 +02:00
PSeitz
ab8bb93928 update changelog (#2617) 2025-04-09 03:31:30 +02:00
PSeitz
2b668bd2bf readability improvement on executor (#2615) 2025-04-08 18:28:49 +02:00
Paul Masurel
97a7137ef8 Merge pull request #2606 from katlim-br/add_serde_serialize
Add serde json serialize to UserInputAst
2025-04-03 15:57:03 +02:00
Kat Lim Ruiz
ffa7cdf397 agreed with Remi, about the final json structure, having "type" tag and using "clauses" is more accurate 2025-04-03 08:35:16 -05:00
Kat Lim Ruiz
caf1275e60 Merge pull request #1 from quickwit-oss/tagged-user-input-ast
Tag UserInputAst
2025-04-03 08:30:07 -05:00
Remi Dettai
fb12b7be28 Tag UserInputAst 2025-04-03 10:07:34 +02:00
Kat Lim Ruiz
6f77083493 create more complex unit test 2025-04-02 18:06:20 -05:00
Kat Lim Ruiz
cd7745da7a set Leaf untagged, leave clause and boost the same (with own property) 2025-04-02 17:52:18 -05:00
Kat Lim Ruiz
eb8304dee9 remove untitled file 2025-04-02 08:47:58 -05:00
Kat Lim Ruiz
e5638112a9 all json should be snake_case 2025-04-02 08:45:33 -05:00
Kat Lim Ruiz
81110152fb add unit test for unbounded 2025-04-01 18:08:04 -05:00
Kat Lim Ruiz
ae88a7ece5 add tag type and content value to UserInputBound 2025-04-01 18:06:40 -05:00
Kat Lim Ruiz
bdd5f80fd9 add clause unit test 2025-04-01 18:04:19 -05:00
Kat Lim Ruiz
3f62ef22e5 set tag=type only for Leaf 2025-04-01 17:52:36 -05:00
Kat Lim Ruiz
8102e19e48 set Error as serializable because is part of the possible outcomes (however, I think using this empty Error struct is not a good pattern) 2025-04-01 17:43:24 -05:00
Kat Lim Ruiz
175c853ea7 add serialization test for LenientError 2025-04-01 17:38:23 -05:00
Kat Lim Ruiz
c992cf3f37 Revert "set all enum to be snake_case when serializing"
This reverts commit 83f6c2f265.
2025-04-01 17:27:28 -05:00
Kat Lim Ruiz
83f6c2f265 set all enum to be snake_case when serializing 2025-04-01 17:13:04 -05:00
Kat Lim Ruiz
17bf8aa092 Merge branch 'quickwit-oss:main' into add_serde_serialize 2025-04-01 08:32:08 -05:00
trinity-1686a
6fc0e96ff8 Merge pull request #2610 from quickwit-oss/fix-compilation-stability
Fix compilation stability
2025-04-01 10:45:58 +02:00
Remi Dettai
06d2dcf469 Further fix type inference tests 2025-04-01 09:52:22 +02:00
Remi Dettai
b681ec9335 Fix compilation stability 2025-04-01 09:33:33 +02:00
Kat Lim Ruiz
da2ff5712a fix fmt nightly 2025-03-31 08:21:54 -05:00
Kat Lim Ruiz
18da402e27 cargo fmt 2025-03-30 22:10:38 -05:00
Kat Lim Ruiz
18ae3ffe94 uniformize root cargo.toml 2025-03-30 21:55:51 -05:00
Kat Lim Ruiz
0a37b7acaa update to latest serde and serde_json (and follow the pattern to use patch versions) 2025-03-30 11:35:58 -05:00
Kat Lim Ruiz
1a9fd885dd allow LenientError to be serializable too 2025-03-30 11:26:20 -05:00
Kat Lim Ruiz
3e660905a7 unit test parse_query_lenient 2025-03-30 11:22:22 -05:00
Kat Lim Ruiz
0c2b984cb4 add tests 2025-03-30 11:12:15 -05:00
Kat Lim Ruiz
a69b1c609c add error to be debuggable 2025-03-30 11:12:12 -05:00
Kat Lim Ruiz
8d4a6fcaba deserialize is not needed 2025-03-30 11:11:55 -05:00
Kat Lim Ruiz
feced4762f update root cargo.toml 2025-03-30 11:01:22 -05:00
Kat Lim Ruiz
0149317c5a set 0.23 2025-03-30 10:55:48 -05:00
Kat Lim Ruiz
3fcb6f9597 add unit tests 2025-03-30 10:41:43 -05:00
Kat Lim Ruiz
388fcd763b add serde, and allow UserInputAst to be json serialized/deserialized 2025-03-30 10:36:43 -05:00
trinity-1686a
e488f9e6a2 Merge pull request #2598 from quickwit-oss/1686a/agg-key-eq
fix invalid impl of Eq on Key
2025-03-14 15:24:31 +01:00
trinity Pointard
9426d5be7b fix agg Key PartialEq impl 2025-03-14 14:57:45 +01:00
PSeitz
d5d2d41264 merge column: small refactors (#2579)
* merge column: small refactors

* make ord dependency more explicit

* add columnar merge crashtest proptest

* fix naming
2025-03-07 18:52:34 +08:00
Paul Masurel
80f5f1ecd4 Merge pull request #2586 from quickwit-oss/issue/2577-get_batch_multiply_overflow
follow up on the fix of multiply with overflow
2025-03-05 11:17:12 +01:00
Paul Masurel
519e5d2ed1 clippy warnings 2025-03-05 11:15:06 +01:00
Paul Masurel
df2d52a84e follow up on the fix of multiply with overflow 2025-03-05 11:15:05 +01:00
Paul Masurel
371dba9414 Merge pull request #2591 from quickwit-oss/cargo-fmt
Cargo fmt
2025-03-05 11:08:06 +01:00
Paul Masurel
0afabad494 Cargo fmt 2025-03-05 11:07:46 +01:00
Remi Dettai
89b052cd42 Catch panics during merges (#2582)
* Adding panic handler for the rayon merge thread pool

* Return panic message in error

---------

Co-authored-by: Paul Masurel <paul.masurel@datadoghq.com>
2025-03-05 10:36:48 +01:00
SteveLauC
c48c649436 refactor: use std AtomicU64 and remove wrapper (#2585) 2025-02-24 03:56:15 +01:00
Paul Masurel
58c0739953 Merge pull request #2581 from quickwit-oss/merge_dict_column_repro
use usize in bitpacker
2025-02-21 10:53:07 +09:00
Pascal Seitz
e7daf69de9 use usize in bitpacker
use usize in bitpacker to enable larger columns in the columnar store

Godbolt comparison with u32 vs u64 for get access: https://godbolt.org/z/cjf7nenYP

Add a mini-tool to inspect columnar files created by tantivy. (very basic functionality which can be extended later)
2025-02-20 15:39:10 +01:00
trinity-1686a
f060e86bc6 Merge pull request #2578 from quickwit-oss/1686a/buildable-histo-agg
make DateHistogramAggregationReq buildable
2025-02-18 15:30:54 +01:00
trinity Pointard
0368162ef0 make DateHistogramAggregationReq buildable 2025-02-18 11:45:24 +01:00
trinity-1686a
e843c71015 Merge pull request #2568 from quickwit-oss/trinity/wildcard-query-parser
allow term starting with wildcard in query parser
2025-02-12 16:47:25 +01:00
trinity Pointard
5cea16ef9f improve handling of spcial char after exist query 2025-01-22 16:04:31 +01:00
dependabot[bot]
4aa8cd2470 Update downcast-rs requirement from 1.2.1 to 2.0.1 (#2566)
Updates the requirements on [downcast-rs](https://github.com/marcianx/downcast-rs) to permit the latest version.
- [Changelog](https://github.com/marcianx/downcast-rs/blob/master/CHANGELOG.md)
- [Commits](https://github.com/marcianx/downcast-rs/compare/v1.2.1...v2.0.1)

---
updated-dependencies:
- dependency-name: downcast-rs
  dependency-type: direct:production
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2025-01-22 10:32:24 +01:00
trinity Pointard
4d4ee1b0ac allow term starting with wildcard in query parser 2025-01-15 10:27:48 +01:00
dependabot[bot]
43c89b4360 Update itertools requirement from 0.13.0 to 0.14.0 (#2563)
Updates the requirements on [itertools](https://github.com/rust-itertools/itertools) to permit the latest version.
- [Changelog](https://github.com/rust-itertools/itertools/blob/master/CHANGELOG.md)
- [Commits](https://github.com/rust-itertools/itertools/compare/v0.13.0...v0.14.0)

---
updated-dependencies:
- dependency-name: itertools
  dependency-type: direct:production
...

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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2025-01-08 17:11:46 +01:00
trinity-1686a
d281ca3e65 Merge pull request #2559 from quickwit-oss/trinity/sstable-partial-automaton
allow warming partially an sstable for an automaton
2025-01-08 16:35:35 +01:00
trinity Pointard
be17daf658 split iterator 2025-01-08 16:24:34 +01:00
trinity Pointard
6ca84a61fa make termdict always clone 2025-01-08 16:19:54 +01:00
trinity Pointard
037d12c9c9 fix deadlocking on automaton warmup 2025-01-06 11:58:58 +01:00
Remi Dettai
71cf19870b Exist queries match subpath fields (#2558)
* Exist queries match subpath fields

* Make subpath check optional

* Add async subpath listing
2025-01-06 10:17:39 +01:00
trinity Pointard
175a529c41 use executor for cpu-heavy sstable decompression for automaton 2025-01-03 19:14:07 +01:00
trinity Pointard
fe0c7c5408 change rangebound style 2025-01-02 11:56:05 +01:00
Harrison Burt
148594f0f9 Improve IndexWriter customisation via builder (#2562)
* Improve `IndexWriter` customisation via builder

* Remove change noise from PR

* Correct documentation

* Resolve comments and add test
2025-01-02 09:43:22 +01:00
dependabot[bot]
8edb439440 Update rustc-hash requirement from 1.1.0 to 2.1.0 (#2551)
---
updated-dependencies:
- dependency-name: rustc-hash
  dependency-type: direct:production
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2024-12-26 10:25:05 +01:00
trinity Pointard
dfff5f3bcb rename merge_holes_under => merge_holes_under_bytes 2024-12-23 16:17:44 +01:00
trinity-1686a
ebf4d84553 add comment about cpu-intensive operation in async context 2024-12-20 12:23:49 +01:00
trinity-1686a
42efc7f7c8 clippy 2024-12-20 11:00:11 +01:00
trinity-1686a
192395c311 attempt at simplifying can_block_match_automaton 2024-12-20 10:25:38 +01:00
trinity-1686a
a1447cc9c2 remove breaking change in sstable public api 2024-12-19 17:30:05 +01:00
trinity-1686a
c39d91f827 Merge pull request #2547 from quickwit-oss/trinity/count-str
add support for counting non integer in aggregation
2024-12-17 15:27:30 +01:00
trinity Pointard
32b6e9711b add tests 2024-12-13 16:06:24 +01:00
trinity-1686a
24c5dc2398 allow warming up automaton 2024-12-10 13:32:12 +01:00
trinity-1686a
9e2ddec4b3 merge adjacent block when building delta for automaton 2024-12-10 13:32:12 +01:00
trinity-1686a
1f6a8e74bb support iterating over partially loaded sstable 2024-12-10 13:32:12 +01:00
trinity-1686a
7e901f523b get iter for blocks of sstable matching automaton 2024-12-10 13:32:12 +01:00
trinity-1686a
3c30a41c14 add helper to figure if block can match automaton 2024-12-10 13:32:12 +01:00
dependabot[bot]
0f99d4f420 Update measure_time requirement from 0.8.2 to 0.9.0 (#2557)
---
updated-dependencies:
- dependency-name: measure_time
  dependency-type: direct:production
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Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-12-09 21:39:01 +01:00
Pierre Barre
6e02c5cb25 Make NUM_MERGE_THREADS configurable (#2535)
* Make `NUM_MERGE_THREADS` configurable

* Remove unused import

* Reword comment src/index/index.rs

Co-authored-by: PSeitz <PSeitz@users.noreply.github.com>

---------

Co-authored-by: PSeitz <PSeitz@users.noreply.github.com>
2024-12-09 16:53:11 +08:00
PSeitz
876a579e5d queryparser: add field respecification test (#2550) 2024-12-02 14:17:12 +01:00
PSeitz
4c52499622 clippy (#2549) 2024-11-29 16:08:21 +08:00
trinity-1686a
0bac391291 add support for counting non integer in aggregation 2024-11-28 19:52:47 +01:00
PSeitz
52d4e81e70 update CHANGELOG (#2546) 2024-11-27 20:49:35 +08:00
dependabot[bot]
c71ea7b2ef Update thiserror requirement from 1.0.30 to 2.0.1 (#2542)
Updates the requirements on [thiserror](https://github.com/dtolnay/thiserror) to permit the latest version.
- [Release notes](https://github.com/dtolnay/thiserror/releases)
- [Commits](https://github.com/dtolnay/thiserror/compare/1.0.30...2.0.1)

---
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- dependency-name: thiserror
  dependency-type: direct:production
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2024-11-09 08:08:34 +08:00
Paul Masurel
c35a782747 Updating rustc-hash and clippy fixes (#2532)
* Updating rustc-hash and clippy fixes

* fix terms_aggregation_min_doc_count_special_case

---------

Co-authored-by: Pascal Seitz <pascal.seitz@gmail.com>
2024-11-01 13:46:26 +08:00
dependabot[bot]
c66af2c0a9 Update binggan requirement from 0.12.0 to 0.14.0 (#2530)
* Update binggan requirement from 0.12.0 to 0.14.0

---
updated-dependencies:
- dependency-name: binggan
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

* fix build

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Pascal Seitz <pascal.seitz@gmail.com>
2024-10-24 09:41:35 +08:00
Joan Antoni RE
f9ac055847 Fix some links in architecture docs (#2528) 2024-10-23 21:06:54 +09:00
PSeitz
21d057059e clippy (#2527)
* clippy

* clippy

* clippy

* clippy

* convert allow to expect and remove unused

* cargo fmt

* cleanup

* export sample

* clippy
2024-10-22 09:26:54 +08:00
PSeitz
dca508b4ca remove read_postings_no_deletes (#2526)
closes #2525
2024-10-22 09:52:43 +09:00
PSeitz
aebae9965d add RegexPhraseQuery (#2516)
* add RegexPhraseQuery

RegexPhraseQuery supports phrase queries with regex. It supports regex
and wildcards. E.g. a query with wildcards:
"b* b* wolf" matches "big bad wolf"
Slop is supported as well:
"b* wolf"~2 matches "big bad wolf"

Regex queries may match a lot of terms where we still need to
keep track which term hit to load the positions.
The phrase query algorithm groups terms by their frequency
together in the union to prefilter groups early.

This PR comes with some new datastructures:

SimpleUnion - A union docset for a list of docsets. It doesn't do any
caching and is therefore well suited for datasets with lots of skipping.
(phrase search, but intersections in general)

LoadedPostings - Like SegmentPostings, but all docs and positions are loaded in
memory. SegmentPostings uses 1840 bytes per instance with its caches,
which is equivalent to 460 docids.
LoadedPostings is used for terms which have less than 100 docs.
LoadedPostings is only used to reduce memory consumption.

BitSetPostingUnion - Creates a `Posting` that uses the bitset for docid
hits and the docsets for positions. The BitSet is the precalculated
union of the docsets
In the RegexPhraseQuery there is a size limit of 512 docsets per PreAggregatedUnion,
before creating a new one.

Renamed Union to BufferedUnionScorer
Added proptests to test different union types.

* cleanup

* use Box instead of Vec

* use RefCell instead of term_freq(&mut)

* remove wildcard mode

* move RefCell to outer

* clippy
2024-10-21 18:29:17 +08:00
Marvin
e7e3e3f44c make casing in docs more consistent (#2524)
* make casing in docs more consistent

* more

* lowercase tantivy
2024-10-21 17:59:41 +09:00
PSeitz
2f2db16ec1 store DateTime as nanoseconds in doc store (#2486)
* store DateTime as nanoseconds in doc store

The doc store DateTime was truncated to microseconds previously. This
removes this truncation, while still keeping backwards compatibility.

This is done by adding the trait `ConfigurableBinarySerializable`, which
works like `BinarySerializable`, but with a config that allows de/serialize
as different date time precision currently.

bump version format to 7.
add compat test to check the date time truncation.

* remove configurable binary serialize, add enum for doc store version

* test doc store version ord
2024-10-18 10:50:20 +08:00
Paul Masurel
d152e29687 Fixed citation (#2523) 2024-10-17 10:19:50 +09:00
Paul Masurel
285bcc25c9 Added citation.cff (#2522) 2024-10-17 09:43:35 +09:00
PSeitz
7b65ad922d use binggan for stacker bench (#2492)
* use binggan for stacker bench

```
alice (num terms: 174693)
hashmap                    Memory: 1.3 MB     Avg: 367.19 MiB/s (-1.34%)    Median: 368.10 MiB/s (-1.34%)    [378.75 MiB/s .. 352.81 MiB/s]
hasmap with postings       Memory: 2.4 MB     Avg: 237.29 MiB/s (-2.19%)    Median: 240.22 MiB/s (-1.61%)    [248.26 MiB/s .. 210.66 MiB/s]
fxhashmap ref postings     Memory: 2.9 MB     Avg: 171.94 MiB/s (-3.22%)    Median: 174.13 MiB/s (-2.69%)    [185.94 MiB/s .. 152.43 MiB/s]
fxhasmap owned postings    Memory: 3.5 MB     Avg: 96.993 MiB/s (-4.20%)    Median: 97.410 MiB/s (-4.48%)    [102.78 MiB/s .. 82.745 MiB/s]
numbers unique 100k
hashmap                 Memory: 5.2 MB     Avg: 334.17 MiB/s (-3.06%)    Median: 352.61 MiB/s (+0.77%)    [362.60 MiB/s .. 213.03 MiB/s]
hasmap with postings    Memory: 6.3 MB     Avg: 316.96 MiB/s (-0.02%)    Median: 325.16 MiB/s (-0.04%)    [338.36 MiB/s .. 218.60 MiB/s]
zipfs numbers 100k
hashmap                 Memory: 1.3 MB     Avg: 1.2342 GiB/s (+2.87%)    Median: 1.2677 GiB/s (+4.66%)    [1.3130 GiB/s .. 915.93 MiB/s]
hasmap with postings    Memory: 2.4 MB     Avg: 485.16 MiB/s (+2.68%)    Median: 494.70 MiB/s (+4.42%)    [505.31 MiB/s .. 413.14 MiB/s]
numbers unique 1mio
hashmap                 Memory: 35.7 MB     Avg: 169.68 MiB/s (-1.08%)    Median: 166.80 MiB/s (-3.87%)    [201.33 MiB/s .. 154.26 MiB/s]
hasmap with postings    Memory: 39.8 MB     Avg: 149.49 MiB/s (-3.07%)    Median: 150.85 MiB/s (-1.45%)    [160.76 MiB/s .. 130.94 MiB/s]
zipfs numbers 1mio
hashmap                 Memory: 1.3 MB     Avg: 1.2185 GiB/s (-2.33%)     Median: 1.2291 GiB/s (-2.33%)     [1.2905 GiB/s .. 1.0742 GiB/s]
hasmap with postings    Memory: 5.5 MB     Avg: 358.43 MiB/s (-11.63%)    Median: 356.95 MiB/s (-12.85%)    [444.94 MiB/s .. 302.46 MiB/s]
numbers unique 2mio
hashmap                 Memory: 70.3 MB     Avg: 163.65 MiB/s (+8.37%)    Median: 162.83 MiB/s (+8.80%)    [190.20 MiB/s .. 144.70 MiB/s]
hasmap with postings    Memory: 78.6 MB     Avg: 148.00 MiB/s (+7.75%)    Median: 151.53 MiB/s (+9.11%)    [166.92 MiB/s .. 120.09 MiB/s]
zipfs numbers 2mio
hashmap                 Memory: 1.3 MB     Avg: 1.2535 GiB/s (+2.59%)    Median: 1.2654 GiB/s (+0.36%)    [1.2938 GiB/s .. 1.0592 GiB/s]
hasmap with postings    Memory: 9.7 MB     Avg: 377.96 MiB/s (-4.94%)    Median: 381.82 MiB/s (-3.67%)    [426.14 MiB/s .. 335.66 MiB/s]
numbers unique 5mio
hashmap                 Memory: 277.9 MB     Avg: 121.30 MiB/s (+2.00%)    Median: 121.99 MiB/s (+2.99%)    [132.51 MiB/s .. 110.32 MiB/s]
hasmap with postings    Memory: 295.7 MB     Avg: 114.23 MiB/s (+2.13%)    Median: 115.26 MiB/s (+2.94%)    [124.08 MiB/s .. 103.38 MiB/s]
zipfs numbers 5mio
hashmap                 Memory: 1.3 MB      Avg: 1.2326 GiB/s (+0.63%)    Median: 1.2400 GiB/s (+0.71%)    [1.2755 GiB/s .. 1.0923 GiB/s]
hasmap with postings    Memory: 25.4 MB     Avg: 360.49 MiB/s (+1.07%)    Median: 363.44 MiB/s (+1.27%)    [404.88 MiB/s .. 300.38 MiB/s]
```

* rename bench

* update binggan

* rename to HASHMAP_CAPACITY
2024-10-16 11:41:33 +08:00
dependabot[bot]
99be20cedd Update binggan requirement from 0.10.0 to 0.12.0 (#2519)
* Update binggan requirement from 0.10.0 to 0.12.0

---
updated-dependencies:
- dependency-name: binggan
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

* fix build

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Pascal Seitz <pascal.seitz@gmail.com>
2024-10-16 11:36:04 +08:00
Bruce Mitchener
5f026901b8 Update MSRV to 1.75 (#2515)
This is required by the `fs4` dependency. There are other
things that need something later than 1.66.

Both quickwit and the Python binding already require something
newer.
2024-10-16 10:32:16 +08:00
baishen
6dfa2df06f fix OwnedBytes debug panic (#2512) 2024-10-16 10:31:40 +08:00
Bruce Mitchener
c17e513377 Reduce typo count. (#2510) 2024-10-10 09:55:37 +08:00
PSeitz
2f5a269c70 update packages (#2500)
fixes some warnings
2024-09-25 17:46:18 +08:00
PSeitz
50532260e3 update changelog (#2496) 2024-09-25 10:28:53 +08:00
Tri
8bd6eb06e6 feat: make SegmentMeta.with_max_doc public (#2499)
* chore: add container

* feat: make max doc editable externally

* chore: expose another method

* chore: remove comments

* remove unused devcontainer

* chore: manually match nightly format

* chore: change weird formating

* revert format change

* fix: format with nightly
2024-09-23 12:39:36 +08:00
PSeitz
55b0b52457 Fix AggregationLimits (#2495)
* change AggregationLimits behavior

This fixes an issue encountered with the current behaviour of
AggregationLimits.
Previously we had AggregationLimits and RessourceLimitGuard, which both
track the memory, but only RessourceLimitGuard released memory when
dropped, while AggregationLimits did not.

This PR changes AggregationLimits to be a guard itself and removes the
RessourceLimitGuard.

* rename AggregationLimits to AggregationLimitsGuard
2024-09-17 14:25:47 +08:00
dependabot[bot]
56fc56c5b9 Update binggan requirement from 0.8.0 to 0.10.0 (#2493)
* Update binggan requirement from 0.8.0 to 0.10.0

---
updated-dependencies:
- dependency-name: binggan
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

* update PR

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Pascal Seitz <pascal.seitz@gmail.com>
2024-09-10 14:26:06 +08:00
trinity-1686a
85395d942a fix clippy lints from 1.80-1.81 (#2488)
* fix some clippy lints

* fix clippy::doc_lazy_continuation

* fix some lints for 1.82
2024-09-05 14:33:05 +02:00
PSeitz
a206c3ccd3 add compat tests (#2485) 2024-09-04 18:26:57 +08:00
Chaya
dc5d31c116 grammar and misspellings (#2483)
* grammar

* grammar

* misspelling
2024-09-04 12:45:31 +08:00
gezihuzi
95a4ddea3e Fix: Improve collapse_overlapped_ranges function (#2474)
* Fix: Improve collapse_overlapped_ranges function

- Refactor into separate sort_and_deduplicate_ranges and merge_overlapping_ranges functions
- Enhance sorting to consider both start and end of ranges
- Optimize merging logic to handle adjacent ranges
- Add comprehensive examples in function documentation
- Ensure proper handling of duplicate and unsorted input ranges
- Improve overall efficiency and readability of range collapsing algorithm

* move debug_assert

---------

Co-authored-by: PSeitz <PSeitz@users.noreply.github.com>
2024-09-04 12:39:13 +08:00
trinity-1686a
ab5125d3dc remove unused trait bounds and outdated doc comment (#2478) 2024-09-03 16:31:51 +02:00
trinity-1686a
9f81d59ecd make find_field_with_default return json fields without path (#2476)
* make find_field_with_default return json fields without path

* add tests for find_field_with_default
2024-08-19 15:25:29 +02:00
PSeitz
c71ec8086d add FastFieldRangeQuery, rename (#2477)
* add FastFieldRangeQuery, rename

* remove Query impl
2024-08-19 09:02:00 +02:00
PSeitz
27be6aed91 lift clauses in LogicalAst (#2449)
(a OR b) OR (c OR d) can be simplified to (a OR b OR c OR d)
(a AND b) AND (c AND d) can be simplified to (a AND b AND c AND d)

This directly affects how queries are executed

remove unused SumWithCoordsCombiner
the number of fields is unused and private
2024-08-14 19:21:26 +02:00
PSeitz
3d1c4b313a support ff range queries on json fields (#2456)
* support ff range queries on json fields

* fix term date truncation

* use inverted index range query for phrase prefix queries

* rename to InvertedIndexRangeQuery

* fix column filter, add mixed column test
2024-08-02 00:06:50 +08:00
PSeitz
0d4e319965 add Key::I64 and Key::U64 variants in aggregation (#2468)
* add Key::I64 and Key::U64 variants in aggregation

Currently all `Key` numerical values are returned as f64. This causes problems in some
cases with the precision and the way f64 is serialized.

This PR adds `Key::I64` and `Key::U64` variants and uses them in the term
aggregation.

* add clarification comment
2024-07-31 20:29:32 +08:00
PSeitz
75dc3eb298 extend custom order deserialization (#2451)
allow arrays
improve validation
closes https://github.com/quickwit-oss/tantivy/issues/2435
2024-07-30 18:36:08 +08:00
PSeitz
3f6d225086 fix potential endless loop in merge (#2457)
avoid single segments lists without deletes as merge candidates, as they will be moved
to a merge operation and filtered for merging in the next
consider_merge_options call. In rare cases this may end up in a endless
merge loop where only single segments where nothing is to be done are
merged.
2024-07-30 16:37:20 +08:00
PSeitz
d8843c608c make FastFieldRangeWeight::new pub (#2460) 2024-07-29 10:39:27 +08:00
245 changed files with 7601 additions and 2907 deletions

View File

@@ -46,7 +46,7 @@ The file of a segment has the format
```segment-id . ext```
The extension signals which data structure (or [`SegmentComponent`](src/core/segment_component.rs)) is stored in the file.
The extension signals which data structure (or [`SegmentComponent`](src/index/segment_component.rs)) is stored in the file.
A small `meta.json` file is in charge of keeping track of the list of segments, as well as the schema.
@@ -102,7 +102,7 @@ but users can extend tantivy with their own implementation.
Tantivy's document follows a very strict schema, decided before building any index.
The schema defines all of the fields that the indexes [`Document`](src/schema/document.rs) may and should contain, their types (`text`, `i64`, `u64`, `Date`, ...) as well as how it should be indexed / represented in tantivy.
The schema defines all of the fields that the indexes [`Document`](src/schema/document/mod.rs) may and should contain, their types (`text`, `i64`, `u64`, `Date`, ...) as well as how it should be indexed / represented in tantivy.
Depending on the type of the field, you can decide to

View File

@@ -1,3 +1,85 @@
Tantivy 0.23 - Unreleased
================================
Tantivy 0.23 will be backwards compatible with indices created with v0.22 and v0.21. The new minimum rust version will be 1.75.
#### Bugfixes
- fix potential endless loop in merge [#2457](https://github.com/quickwit-oss/tantivy/pull/2457)(@PSeitz)
- fix bug that causes out-of-order sstable key. [#2445](https://github.com/quickwit-oss/tantivy/pull/2445)(@fulmicoton)
- fix ReferenceValue API flaw [#2372](https://github.com/quickwit-oss/tantivy/pull/2372)(@PSeitz)
- fix `OwnedBytes` debug panic [#2512](https://github.com/quickwit-oss/tantivy/pull/2512)(@b41sh)
- catch panics during merges [#2582](https://github.com/quickwit-oss/tantivy/pull/2582)(@rdettai)
- switch from u32 to usize in bitpacker. This enables multivalued columns larger than 4GB, which crashed during merge before. [#2581](https://github.com/quickwit-oss/tantivy/pull/2581) [#2586](https://github.com/quickwit-oss/tantivy/pull/2586)(@fulmicoton-dd @PSeitz)
#### Breaking API Changes
- remove index sorting [#2434](https://github.com/quickwit-oss/tantivy/pull/2434)(@PSeitz)
#### Features/Improvements
- **Aggregation**
- Support for cardinality aggregation [#2337](https://github.com/quickwit-oss/tantivy/pull/2337) [#2446](https://github.com/quickwit-oss/tantivy/pull/2446) (@raphaelcoeffic @PSeitz)
- Support for extended stats aggregation [#2247](https://github.com/quickwit-oss/tantivy/pull/2247)(@giovannicuccu)
- Add Key::I64 and Key::U64 variants in aggregation to avoid f64 precision issues [#2468](https://github.com/quickwit-oss/tantivy/pull/2468)(@PSeitz)
- Faster term aggregation fetch terms [#2447](https://github.com/quickwit-oss/tantivy/pull/2447)(@PSeitz)
- Improve custom order deserialization [#2451](https://github.com/quickwit-oss/tantivy/pull/2451)(@PSeitz)
- Change AggregationLimits behavior [#2495](https://github.com/quickwit-oss/tantivy/pull/2495)(@PSeitz)
- lower contention on AggregationLimits [#2394](https://github.com/quickwit-oss/tantivy/pull/2394)(@PSeitz)
- fix postcard compatibility for top_hits, add postcard test [#2346](https://github.com/quickwit-oss/tantivy/pull/2346)(@PSeitz)
- reduce top hits memory consumption [#2426](https://github.com/quickwit-oss/tantivy/pull/2426)(@PSeitz)
- check unsupported parameters top_hits [#2351](https://github.com/quickwit-oss/tantivy/pull/2351)(@PSeitz)
- Change AggregationLimits to AggregationLimitsGuard [#2495](https://github.com/quickwit-oss/tantivy/pull/2495)(@PSeitz)
- add support for counting non integer in aggregation [#2547](https://github.com/quickwit-oss/tantivy/pull/2547)(@trinity-1686a)
- **Range Queries**
- Support fast field range queries on json fields [#2456](https://github.com/quickwit-oss/tantivy/pull/2456)(@PSeitz)
- Add support for str fast field range query [#2460](https://github.com/quickwit-oss/tantivy/pull/2460) [#2452](https://github.com/quickwit-oss/tantivy/pull/2452) [#2453](https://github.com/quickwit-oss/tantivy/pull/2453)(@PSeitz)
- modify fastfield range query heuristic [#2375](https://github.com/quickwit-oss/tantivy/pull/2375)(@trinity-1686a)
- add FastFieldRangeQuery for explicit range queries on fast field (for `RangeQuery` it is autodetected) [#2477](https://github.com/quickwit-oss/tantivy/pull/2477)(@PSeitz)
- add format backwards-compatibility tests [#2485](https://github.com/quickwit-oss/tantivy/pull/2485)(@PSeitz)
- add columnar format compatibility tests [#2433](https://github.com/quickwit-oss/tantivy/pull/2433)(@PSeitz)
- Improved snippet ranges algorithm [#2474](https://github.com/quickwit-oss/tantivy/pull/2474)(@gezihuzi)
- make find_field_with_default return json fields without path [#2476](https://github.com/quickwit-oss/tantivy/pull/2476)(@trinity-1686a)
- Make `BooleanQuery` support `minimum_number_should_match` [#2405](https://github.com/quickwit-oss/tantivy/pull/2405)(@LebranceBW)
- Make `NUM_MERGE_THREADS` configurable [#2535](https://github.com/quickwit-oss/tantivy/pull/2535)(@Barre)
- **RegexPhraseQuery**
`RegexPhraseQuery` supports phrase queries with regex. E.g. query "b.* b.* wolf" matches "big bad wolf". Slop is supported as well: "b.* wolf"~2 matches "big bad wolf" [#2516](https://github.com/quickwit-oss/tantivy/pull/2516)(@PSeitz)
- **Optional Index in Multivalue Columnar Index**
For mostly empty multivalued indices there was a large overhead during creation when iterating all docids (merge case).
This is alleviated by placing an optional index in the multivalued index to mark documents that have values.
This will slightly increase space and access time. [#2439](https://github.com/quickwit-oss/tantivy/pull/2439)(@PSeitz)
- **Store DateTime as nanoseconds in doc store** DateTime in the doc store was truncated to microseconds previously. This removes this truncation, while still keeping backwards compatibility. [#2486](https://github.com/quickwit-oss/tantivy/pull/2486)(@PSeitz)
- **Performace/Memory**
- lift clauses in LogicalAst for optimized ast during execution [#2449](https://github.com/quickwit-oss/tantivy/pull/2449)(@PSeitz)
- Use Vec instead of BTreeMap to back OwnedValue object [#2364](https://github.com/quickwit-oss/tantivy/pull/2364)(@fulmicoton)
- Replace TantivyDocument with CompactDoc. CompactDoc is much smaller and provides similar performance. [#2402](https://github.com/quickwit-oss/tantivy/pull/2402)(@PSeitz)
- Recycling buffer in PrefixPhraseScorer [#2443](https://github.com/quickwit-oss/tantivy/pull/2443)(@fulmicoton)
- **Json Type**
- JSON supports now all values on the root level. Previously an object was required. This enables support for flat mixed types. allow more JSON values, fix i64 special case [#2383](https://github.com/quickwit-oss/tantivy/pull/2383)(@PSeitz)
- add json path constructor to term [#2367](https://github.com/quickwit-oss/tantivy/pull/2367)(@PSeitz)
- **QueryParser**
- fix de-escaping too much in query parser [#2427](https://github.com/quickwit-oss/tantivy/pull/2427)(@trinity-1686a)
- improve query parser [#2416](https://github.com/quickwit-oss/tantivy/pull/2416)(@trinity-1686a)
- Support field grouping `title:(return AND "pink panther")` [#2333](https://github.com/quickwit-oss/tantivy/pull/2333)(@trinity-1686a)
- allow term starting with wildcard [#2568](https://github.com/quickwit-oss/tantivy/pull/2568)(@trinity-1686a)
- Exist queries match subpath fields [#2558](https://github.com/quickwit-oss/tantivy/pull/2558)(@rdettai)
- add access benchmark for columnar [#2432](https://github.com/quickwit-oss/tantivy/pull/2432)(@PSeitz)
- extend indexwriter proptests [#2342](https://github.com/quickwit-oss/tantivy/pull/2342)(@PSeitz)
- add bench & test for columnar merging [#2428](https://github.com/quickwit-oss/tantivy/pull/2428)(@PSeitz)
- Change in Executor API [#2391](https://github.com/quickwit-oss/tantivy/pull/2391)(@fulmicoton)
- Removed usage of num_cpus [#2387](https://github.com/quickwit-oss/tantivy/pull/2387)(@fulmicoton)
- use bingang for agg and stacker benchmark [#2378](https://github.com/quickwit-oss/tantivy/pull/2378)[#2492](https://github.com/quickwit-oss/tantivy/pull/2492)(@PSeitz)
- cleanup top level exports [#2382](https://github.com/quickwit-oss/tantivy/pull/2382)(@PSeitz)
- make convert_to_fast_value_and_append_to_json_term pub [#2370](https://github.com/quickwit-oss/tantivy/pull/2370)(@PSeitz)
- remove JsonTermWriter [#2238](https://github.com/quickwit-oss/tantivy/pull/2238)(@PSeitz)
- validate sort by field type [#2336](https://github.com/quickwit-oss/tantivy/pull/2336)(@PSeitz)
- Fix trait bound of StoreReader::iter [#2360](https://github.com/quickwit-oss/tantivy/pull/2360)(@adamreichold)
- remove read_postings_no_deletes [#2526](https://github.com/quickwit-oss/tantivy/pull/2526)(@PSeitz)
Tantivy 0.22
================================
@@ -8,7 +90,7 @@ Tantivy 0.22 will be able to read indices created with Tantivy 0.21.
- 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 bug occurring 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)
@@ -26,7 +108,7 @@ Tantivy 0.22 will be able to read indices created with Tantivy 0.21.
- 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 ip addresses 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)
@@ -116,7 +198,7 @@ Tantivy 0.20
- Add PhrasePrefixQuery [#1842](https://github.com/quickwit-oss/tantivy/issues/1842) (@trinity-1686a)
- Add `coerce` option for text and numbers types (convert the value instead of returning an error during indexing) [#1904](https://github.com/quickwit-oss/tantivy/issues/1904) (@PSeitz)
- Add regex tokenizer [#1759](https://github.com/quickwit-oss/tantivy/issues/1759)(@mkleen)
- Move tokenizer API to seperate crate. Having a seperate crate with a stable API will allow us to use tokenizers with different tantivy versions. [#1767](https://github.com/quickwit-oss/tantivy/issues/1767) (@PSeitz)
- Move tokenizer API to separate crate. Having a separate crate with a stable API will allow us to use tokenizers with different tantivy versions. [#1767](https://github.com/quickwit-oss/tantivy/issues/1767) (@PSeitz)
- **Columnar crate**: New fast field handling (@fulmicoton @PSeitz) [#1806](https://github.com/quickwit-oss/tantivy/issues/1806)[#1809](https://github.com/quickwit-oss/tantivy/issues/1809)
- Support for fast fields with optional values. Previously tantivy supported only single-valued and multi-value fast fields. The encoding of optional fast fields is now very compact.
- Fast field Support for JSON (schemaless fast fields). Support multiple types on the same column. [#1876](https://github.com/quickwit-oss/tantivy/issues/1876) (@fulmicoton)
@@ -163,13 +245,13 @@ Tantivy 0.20
- Auto downgrade index record option, instead of vint error [#1857](https://github.com/quickwit-oss/tantivy/issues/1857) (@PSeitz)
- Enable range query on fast field for u64 compatible types [#1762](https://github.com/quickwit-oss/tantivy/issues/1762) (@PSeitz) [#1876]
- sstable
- Isolating sstable and stacker in independant crates. [#1718](https://github.com/quickwit-oss/tantivy/issues/1718) (@fulmicoton)
- Isolating sstable and stacker in independent crates. [#1718](https://github.com/quickwit-oss/tantivy/issues/1718) (@fulmicoton)
- New sstable format [#1943](https://github.com/quickwit-oss/tantivy/issues/1943)[#1953](https://github.com/quickwit-oss/tantivy/issues/1953) (@trinity-1686a)
- Use DeltaReader directly to implement Dictionnary::ord_to_term [#1928](https://github.com/quickwit-oss/tantivy/issues/1928) (@trinity-1686a)
- Use DeltaReader directly to implement Dictionnary::term_ord [#1925](https://github.com/quickwit-oss/tantivy/issues/1925) (@trinity-1686a)
- Add seperate tokenizer manager for fast fields [#2019](https://github.com/quickwit-oss/tantivy/issues/2019) (@PSeitz)
- Use DeltaReader directly to implement Dictionary::ord_to_term [#1928](https://github.com/quickwit-oss/tantivy/issues/1928) (@trinity-1686a)
- Use DeltaReader directly to implement Dictionary::term_ord [#1925](https://github.com/quickwit-oss/tantivy/issues/1925) (@trinity-1686a)
- Add separate tokenizer manager for fast fields [#2019](https://github.com/quickwit-oss/tantivy/issues/2019) (@PSeitz)
- Make construction of LevenshteinAutomatonBuilder for FuzzyTermQuery instances lazy. [#1756](https://github.com/quickwit-oss/tantivy/issues/1756) (@adamreichold)
- Added support for madvise when opening an mmaped Index [#2036](https://github.com/quickwit-oss/tantivy/issues/2036) (@fulmicoton)
- Added support for madvise when opening an mmapped Index [#2036](https://github.com/quickwit-oss/tantivy/issues/2036) (@fulmicoton)
- Rename `DatePrecision` to `DateTimePrecision` [#2051](https://github.com/quickwit-oss/tantivy/issues/2051) (@guilload)
- Query Parser
- Quotation mark can now be used for phrase queries. [#2050](https://github.com/quickwit-oss/tantivy/issues/2050) (@fulmicoton)
@@ -208,7 +290,7 @@ Tantivy 0.19
- Add support for phrase slop in query language [#1393](https://github.com/quickwit-oss/tantivy/pull/1393) (@saroh)
- Aggregation
- Add aggregation support for date type [#1693](https://github.com/quickwit-oss/tantivy/pull/1693)(@PSeitz)
- Add support for keyed parameter in range and histgram aggregations [#1424](https://github.com/quickwit-oss/tantivy/pull/1424) (@k-yomo)
- Add support for keyed parameter in range and histogram aggregations [#1424](https://github.com/quickwit-oss/tantivy/pull/1424) (@k-yomo)
- Add aggregation bucket limit [#1363](https://github.com/quickwit-oss/tantivy/pull/1363) (@PSeitz)
- Faster indexing
- [#1610](https://github.com/quickwit-oss/tantivy/pull/1610) (@PSeitz)
@@ -651,7 +733,7 @@ Tantivy 0.4.0
- Raise the limit of number of fields (previously 256 fields) (@fulmicoton)
- Removed u32 fields. They are replaced by u64 and i64 fields (#65) (@fulmicoton)
- Optimized skip in SegmentPostings (#130) (@lnicola)
- Replacing rustc_serialize by serde. Kudos to @KodrAus and @lnicola
- Replacing rustc_serialize by serde. Kudos to benchmark@KodrAus and @lnicola
- Using error-chain (@KodrAus)
- QueryParser: (@fulmicoton)
- Explicit error returned when searched for a term that is not indexed

10
CITATION.cff Normal file
View File

@@ -0,0 +1,10 @@
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- alias: Quickwit Inc.
website: "https://quickwit.io"
title: "tantivy"
version: 0.22.0
doi: 10.5281/zenodo.13942948
date-released: 2024-10-17
url: "https://github.com/quickwit-oss/tantivy"

View File

@@ -1,6 +1,6 @@
[package]
name = "tantivy"
version = "0.23.0"
version = "0.24.2"
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
license = "MIT"
categories = ["database-implementations", "data-structures"]
@@ -11,7 +11,7 @@ repository = "https://github.com/quickwit-oss/tantivy"
readme = "README.md"
keywords = ["search", "information", "retrieval"]
edition = "2021"
rust-version = "1.66"
rust-version = "1.81"
exclude = ["benches/*.json", "benches/*.txt"]
[dependencies]
@@ -29,50 +29,52 @@ tantivy-fst = "0.5"
memmap2 = { version = "0.9.0", optional = true }
lz4_flex = { version = "0.11", default-features = false, optional = true }
zstd = { version = "0.13", optional = true, default-features = false }
tempfile = { version = "3.3.0", optional = true }
tempfile = { version = "3.12.0", optional = true }
log = "0.4.16"
serde = { version = "1.0.136", features = ["derive"] }
serde_json = "1.0.79"
serde = { version = "1.0.219", features = ["derive"] }
serde_json = "1.0.140"
fs4 = { version = "0.8.0", optional = true }
levenshtein_automata = "0.2.1"
uuid = { version = "1.0.0", features = ["v4", "serde"] }
crossbeam-channel = "0.5.4"
rust-stemmers = "1.2.0"
downcast-rs = "1.2.1"
downcast-rs = "2.0.1"
bitpacking = { version = "0.9.2", default-features = false, features = [
"bitpacker4x",
] }
census = "0.4.2"
rustc-hash = "1.1.0"
thiserror = "1.0.30"
rustc-hash = "2.0.0"
thiserror = "2.0.1"
htmlescape = "0.3.1"
fail = { version = "0.5.0", optional = true }
time = { version = "0.3.10", features = ["serde-well-known"] }
time = { version = "0.3.35", features = ["serde-well-known"] }
smallvec = "1.8.0"
rayon = "1.5.2"
lru = "0.12.0"
fastdivide = "0.4.0"
itertools = "0.13.0"
measure_time = "0.8.2"
itertools = "0.14.0"
measure_time = "0.9.0"
arc-swap = "1.5.0"
bon = "3.3.1"
columnar = { version = "0.3", path = "./columnar", package = "tantivy-columnar" }
sstable = { version = "0.3", path = "./sstable", package = "tantivy-sstable", optional = true }
stacker = { version = "0.3", path = "./stacker", package = "tantivy-stacker" }
query-grammar = { version = "0.22.0", path = "./query-grammar", package = "tantivy-query-grammar" }
tantivy-bitpacker = { version = "0.6", path = "./bitpacker" }
common = { version = "0.7", path = "./common/", package = "tantivy-common" }
tokenizer-api = { version = "0.3", path = "./tokenizer-api", package = "tantivy-tokenizer-api" }
columnar = { version = "0.5", path = "./columnar", package = "tantivy-columnar" }
sstable = { version = "0.5", path = "./sstable", package = "tantivy-sstable", optional = true }
stacker = { version = "0.5", path = "./stacker", package = "tantivy-stacker" }
query-grammar = { version = "0.24.0", path = "./query-grammar", package = "tantivy-query-grammar" }
tantivy-bitpacker = { version = "0.8", path = "./bitpacker" }
common = { version = "0.9", path = "./common/", package = "tantivy-common" }
tokenizer-api = { version = "0.5", path = "./tokenizer-api", package = "tantivy-tokenizer-api" }
sketches-ddsketch = { version = "0.3.0", features = ["use_serde"] }
hyperloglogplus = { version = "0.4.1", features = ["const-loop"] }
futures-util = { version = "0.3.28", optional = true }
futures-channel = { version = "0.3.28", optional = true }
fnv = "1.0.7"
[target.'cfg(windows)'.dependencies]
winapi = "0.3.9"
[dev-dependencies]
binggan = "0.8.0"
binggan = "0.14.0"
rand = "0.8.5"
maplit = "1.0.2"
matches = "0.1.9"
@@ -120,7 +122,7 @@ zstd-compression = ["zstd"]
failpoints = ["fail", "fail/failpoints"]
unstable = [] # useful for benches.
quickwit = ["sstable", "futures-util"]
quickwit = ["sstable", "futures-util", "futures-channel"]
# 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.

View File

@@ -1,7 +1,7 @@
Make schema_builder API fluent.
fix doc serialization and prevent compression problems
u64 , etc. shoudl return Resutl<Option> now that we support optional missing a column is really not an error
u64 , etc. should return Result<Option> now that we support optional missing a column is really not an error
remove fastfield codecs
ditch the first_or_default trick. if it is still useful, improve its implementation.
rename FastFieldReaders::open to load

View File

@@ -1,3 +1,4 @@
use binggan::plugins::PeakMemAllocPlugin;
use binggan::{black_box, InputGroup, PeakMemAlloc, INSTRUMENTED_SYSTEM};
use rand::prelude::SliceRandom;
use rand::rngs::StdRng;
@@ -17,7 +18,9 @@ pub static GLOBAL: &PeakMemAlloc<std::alloc::System> = &INSTRUMENTED_SYSTEM;
/// runner.register("average_u64", move |index| average_u64(index));
macro_rules! register {
($runner:expr, $func:ident) => {
$runner.register(stringify!($func), move |index| $func(index))
$runner.register(stringify!($func), move |index| {
$func(index);
})
};
}
@@ -42,7 +45,8 @@ fn main() {
}
fn bench_agg(mut group: InputGroup<Index>) {
group.set_alloc(GLOBAL); // Set the peak mem allocator. This will enable peak memory reporting.
group.add_plugin(PeakMemAllocPlugin::new(GLOBAL));
register!(group, average_u64);
register!(group, average_f64);
register!(group, average_f64_u64);

View File

@@ -1,6 +1,6 @@
[package]
name = "tantivy-bitpacker"
version = "0.6.0"
version = "0.8.0"
edition = "2021"
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
license = "MIT"

View File

@@ -65,7 +65,7 @@ impl BitPacker {
#[derive(Clone, Debug, Default, Copy)]
pub struct BitUnpacker {
num_bits: u32,
num_bits: usize,
mask: u64,
}
@@ -83,7 +83,7 @@ impl BitUnpacker {
(1u64 << num_bits) - 1u64
};
BitUnpacker {
num_bits: u32::from(num_bits),
num_bits: usize::from(num_bits),
mask,
}
}
@@ -94,14 +94,14 @@ impl BitUnpacker {
#[inline]
pub fn get(&self, idx: u32, data: &[u8]) -> u64 {
let addr_in_bits = idx * self.num_bits;
let addr = (addr_in_bits >> 3) as usize;
let addr_in_bits = idx as usize * self.num_bits;
let addr = addr_in_bits >> 3;
if addr + 8 > data.len() {
if self.num_bits == 0 {
return 0;
}
let bit_shift = addr_in_bits & 7;
return self.get_slow_path(addr, bit_shift, data);
return self.get_slow_path(addr, bit_shift as u32, data);
}
let bit_shift = addr_in_bits & 7;
let bytes: [u8; 8] = (&data[addr..addr + 8]).try_into().unwrap();
@@ -134,12 +134,13 @@ impl BitUnpacker {
"Bitwidth must be <= 32 to use this method."
);
let end_idx = start_idx + output.len() as u32;
let end_idx: u32 = start_idx + output.len() as u32;
let end_bit_read = end_idx * self.num_bits;
// We use `usize` here to avoid overflow issues.
let end_bit_read = (end_idx as usize) * self.num_bits;
let end_byte_read = (end_bit_read + 7) / 8;
assert!(
end_byte_read as usize <= data.len(),
end_byte_read <= data.len(),
"Requested index is out of bounds."
);
@@ -159,24 +160,24 @@ impl BitUnpacker {
// We want the start of the fast track to start align with bytes.
// A sufficient condition is to start with an idx that is a multiple of 8,
// so highway start is the closest multiple of 8 that is >= start_idx.
let entrance_ramp_len = 8 - (start_idx % 8) % 8;
let entrance_ramp_len: u32 = 8 - (start_idx % 8) % 8;
let highway_start: u32 = start_idx + entrance_ramp_len;
if highway_start + BitPacker1x::BLOCK_LEN as u32 > end_idx {
if highway_start + (BitPacker1x::BLOCK_LEN as u32) > end_idx {
// We don't have enough values to have even a single block of highway.
// Let's just supply the values the simple way.
get_batch_ramp(start_idx, output);
return;
}
let num_blocks: u32 = (end_idx - highway_start) / BitPacker1x::BLOCK_LEN as u32;
let num_blocks: usize = (end_idx - highway_start) as usize / BitPacker1x::BLOCK_LEN;
// Entrance ramp
get_batch_ramp(start_idx, &mut output[..entrance_ramp_len as usize]);
// Highway
let mut offset = (highway_start * self.num_bits) as usize / 8;
let mut offset = (highway_start as usize * self.num_bits) / 8;
let mut output_cursor = (highway_start - start_idx) as usize;
for _ in 0..num_blocks {
offset += BitPacker1x.decompress(
@@ -188,7 +189,7 @@ impl BitUnpacker {
}
// Exit ramp
let highway_end = highway_start + num_blocks * BitPacker1x::BLOCK_LEN as u32;
let highway_end: u32 = highway_start + (num_blocks * BitPacker1x::BLOCK_LEN) as u32;
get_batch_ramp(highway_end, &mut output[output_cursor..]);
}
@@ -368,9 +369,9 @@ mod test {
for start_idx in 0u32..32u32 {
output.resize(len, 0);
bitunpacker.get_batch_u32s(start_idx, &buffer, &mut output);
for i in 0..len {
for (i, output_byte) in output.iter().enumerate() {
let expected = (start_idx + i as u32) & mask;
assert_eq!(output[i], expected);
assert_eq!(*output_byte, expected);
}
}
}

View File

@@ -34,7 +34,7 @@ struct BlockedBitpackerEntryMetaData {
impl BlockedBitpackerEntryMetaData {
fn new(offset: u64, num_bits: u8, base_value: u64) -> Self {
let encoded = offset | (num_bits as u64) << (64 - 8);
let encoded = offset | (u64::from(num_bits) << (64 - 8));
Self {
encoded,
base_value,

View File

@@ -35,8 +35,8 @@ const IMPLS: [FilterImplPerInstructionSet; 2] = [
const IMPLS: [FilterImplPerInstructionSet; 1] = [FilterImplPerInstructionSet::Scalar];
impl FilterImplPerInstructionSet {
#[allow(unused_variables)]
#[inline]
#[allow(unused_variables)] // on non-x86_64, code is unused.
fn from(code: u8) -> FilterImplPerInstructionSet {
#[cfg(target_arch = "x86_64")]
if code == FilterImplPerInstructionSet::AVX2 as u8 {

View File

@@ -16,14 +16,14 @@ body = """
{%- if version %} in {{ version }}{%- endif -%}
{% for commit in commits %}
{% if commit.github.pr_title -%}
{%- set commit_message = commit.github.pr_title -%}
{% if commit.remote.pr_title -%}
{%- set commit_message = commit.remote.pr_title -%}
{%- 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 -%} \
{% if commit.remote.pr_number %} \
[#{{ commit.remote.pr_number }}]({{ self::remote_url() }}/pull/{{ commit.remote.pr_number }}){% if commit.remote.username %}(@{{ commit.remote.username }}){%- endif -%} \
{%- endif %}
{%- endfor -%}

View File

@@ -1,6 +1,6 @@
[package]
name = "tantivy-columnar"
version = "0.3.0"
version = "0.5.0"
edition = "2021"
license = "MIT"
homepage = "https://github.com/quickwit-oss/tantivy"
@@ -9,21 +9,21 @@ description = "column oriented storage for tantivy"
categories = ["database-implementations", "data-structures", "compression"]
[dependencies]
itertools = "0.13.0"
itertools = "0.14.0"
fastdivide = "0.4.0"
stacker = { version= "0.3", path = "../stacker", package="tantivy-stacker"}
sstable = { version= "0.3", path = "../sstable", package = "tantivy-sstable" }
common = { version= "0.7", path = "../common", package = "tantivy-common" }
tantivy-bitpacker = { version= "0.6", path = "../bitpacker/" }
stacker = { version= "0.5", path = "../stacker", package="tantivy-stacker"}
sstable = { version= "0.5", path = "../sstable", package = "tantivy-sstable" }
common = { version= "0.9", path = "../common", package = "tantivy-common" }
tantivy-bitpacker = { version= "0.8", path = "../bitpacker/" }
serde = "1.0.152"
downcast-rs = "1.2.0"
downcast-rs = "2.0.1"
[dev-dependencies]
proptest = "1"
more-asserts = "0.3.1"
rand = "0.8"
binggan = "0.8.1"
binggan = "0.14.0"
[[bench]]
name = "bench_merge"

View File

@@ -31,7 +31,7 @@ restriction on 50% of the values (e.g. a 64-bit hash). On the other hand, a lot
# Columnar format
This columnar format may have more than one column (with different types) associated to the same `column_name` (see [Coercion rules](#coercion-rules) above).
The `(column_name, columne_type)` couple however uniquely identifies a column.
The `(column_name, column_type)` couple however uniquely identifies a column.
That couple is serialized as a column `column_key`. The format of that key is:
`[column_name][ZERO_BYTE][column_type_header: u8]`

View File

@@ -1,6 +1,6 @@
pub mod common;
use binggan::{black_box, BenchRunner};
use binggan::BenchRunner;
use common::{generate_columnar_with_name, Card};
use tantivy_columnar::*;
@@ -29,7 +29,7 @@ fn main() {
add_combo(Card::Multi, Card::Dense);
add_combo(Card::Multi, Card::Sparse);
let runner: BenchRunner = BenchRunner::new();
let mut runner: BenchRunner = BenchRunner::new();
let mut group = runner.new_group();
for (input_name, columnar_readers) in inputs.iter() {
group.register_with_input(
@@ -41,7 +41,7 @@ fn main() {
let merge_row_order = StackMergeOrder::stack(&columnar_readers[..]);
merge_columnar(&columnar_readers, &[], merge_row_order.into(), &mut out).unwrap();
black_box(out);
Some(out.len() as u64)
},
);
}

View File

@@ -0,0 +1,18 @@
[package]
name = "tantivy-columnar-inspect"
version = "0.1.0"
edition = "2021"
license = "MIT"
[dependencies]
tantivy = {path="../..", package="tantivy"}
columnar = {path="../", package="tantivy-columnar"}
common = {path="../../common", package="tantivy-common"}
[workspace]
members = []
[profile.release]
debug = true
#debug-assertions = true
#overflow-checks = true

View File

@@ -0,0 +1,54 @@
use columnar::ColumnarReader;
use common::file_slice::{FileSlice, WrapFile};
use std::io;
use std::path::Path;
use tantivy::directory::footer::Footer;
fn main() -> io::Result<()> {
println!("Opens a columnar file written by tantivy and validates it.");
let path = std::env::args().nth(1).unwrap();
let path = Path::new(&path);
println!("Reading {:?}", path);
let _reader = open_and_validate_columnar(path.to_str().unwrap())?;
Ok(())
}
pub fn validate_columnar_reader(reader: &ColumnarReader) {
let num_rows = reader.num_rows();
println!("num_rows: {}", num_rows);
let columns = reader.list_columns().unwrap();
println!("num columns: {:?}", columns.len());
for (col_name, dynamic_column_handle) in columns {
let col = dynamic_column_handle.open().unwrap();
match col {
columnar::DynamicColumn::Bool(_)
| columnar::DynamicColumn::I64(_)
| columnar::DynamicColumn::U64(_)
| columnar::DynamicColumn::F64(_)
| columnar::DynamicColumn::IpAddr(_)
| columnar::DynamicColumn::DateTime(_)
| columnar::DynamicColumn::Bytes(_) => {}
columnar::DynamicColumn::Str(str_column) => {
let num_vals = str_column.ords().values.num_vals();
let num_terms_dict = str_column.num_terms() as u64;
let max_ord = str_column.ords().values.iter().max().unwrap_or_default();
println!("{col_name:35} num_vals {num_vals:10} \t num_terms_dict {num_terms_dict:8} max_ord: {max_ord:8}",);
for ord in str_column.ords().values.iter() {
assert!(ord < num_terms_dict);
}
}
}
}
}
/// Opens a columnar file that was written by tantivy and validates it.
pub fn open_and_validate_columnar(path: &str) -> io::Result<ColumnarReader> {
let wrap_file = WrapFile::new(std::fs::File::open(path)?)?;
let slice = FileSlice::new(std::sync::Arc::new(wrap_file));
let (_footer, slice) = Footer::extract_footer(slice.clone()).unwrap();
let reader = ColumnarReader::open(slice).unwrap();
validate_columnar_reader(&reader);
Ok(reader)
}

View File

@@ -10,7 +10,7 @@
# Perf and Size
* remove alloc in `ord_to_term`
+ multivaued range queries restrat frm the beginning all of the time.
+ multivaued range queries restart from the beginning all of the time.
* re-add ZSTD compression for dictionaries
no systematic monotonic mapping
consider removing multilinear
@@ -30,7 +30,7 @@ investigate if should have better errors? io::Error is overused at the moment.
rename rank/select in unit tests
Review the public API via cargo doc
go through TODOs
remove all doc_id occurences -> row_id
remove all doc_id occurrences -> row_id
use the rank & select naming in unit tests branch.
multi-linear -> blockwise
linear codec -> simply a multiplication for the index column
@@ -43,5 +43,5 @@ isolate u128_based and uniform naming
# Other
fix enhance column-cli
# Santa claus
# Santa Claus
autodetect datetime ipaddr, plug customizable tokenizer.

View File

@@ -66,7 +66,7 @@ impl<T: PartialOrd + Copy + std::fmt::Debug + Send + Sync + 'static + Default>
&'a self,
docs: &'a [u32],
accessor: &Column<T>,
) -> impl Iterator<Item = (DocId, T)> + '_ {
) -> impl Iterator<Item = (DocId, T)> + 'a {
if accessor.index.get_cardinality().is_full() {
docs.iter().cloned().zip(self.val_cache.iter().cloned())
} else {
@@ -139,7 +139,7 @@ mod tests {
missing_docs.push(missing_doc);
});
assert_eq!(missing_docs, vec![]);
assert_eq!(missing_docs, Vec::<u32>::new());
}
#[test]

View File

@@ -173,7 +173,7 @@ mod tests {
.into();
let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order);
let SerializableColumnIndex::Multivalued(start_index_iterable) = merged_column_index else {
panic!("Excpected a multivalued index")
panic!("Expected a multivalued index")
};
let mut output = Vec::new();
serialize_multivalued_index(&start_index_iterable, &mut output).unwrap();
@@ -211,7 +211,7 @@ mod tests {
let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order);
let SerializableColumnIndex::Multivalued(start_index_iterable) = merged_column_index else {
panic!("Excpected a multivalued index")
panic!("Expected a multivalued index")
};
let mut output = Vec::new();
serialize_multivalued_index(&start_index_iterable, &mut output).unwrap();

View File

@@ -58,7 +58,7 @@ struct ShuffledIndex<'a> {
merge_order: &'a ShuffleMergeOrder,
}
impl<'a> Iterable<u32> for ShuffledIndex<'a> {
impl Iterable<u32> for ShuffledIndex<'_> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
Box::new(
self.merge_order
@@ -127,7 +127,7 @@ fn integrate_num_vals(num_vals: impl Iterator<Item = u32>) -> impl Iterator<Item
)
}
impl<'a> Iterable<u32> for ShuffledMultivaluedIndex<'a> {
impl Iterable<u32> for ShuffledMultivaluedIndex<'_> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
let num_vals_per_row = iter_num_values(self.column_indexes, self.merge_order);
Box::new(integrate_num_vals(num_vals_per_row))

View File

@@ -56,7 +56,7 @@ fn get_doc_ids_with_values<'a>(
ColumnIndex::Full => Box::new(doc_range),
ColumnIndex::Optional(optional_index) => Box::new(
optional_index
.iter_rows()
.iter_docs()
.map(move |row| row + doc_range.start),
),
ColumnIndex::Multivalued(multivalued_index) => match multivalued_index {
@@ -73,7 +73,7 @@ fn get_doc_ids_with_values<'a>(
MultiValueIndex::MultiValueIndexV2(multivalued_index) => Box::new(
multivalued_index
.optional_index
.iter_rows()
.iter_docs()
.map(move |row| row + doc_range.start),
),
},
@@ -123,7 +123,7 @@ fn get_num_values_iterator<'a>(
}
}
impl<'a> Iterable<u32> for StackedStartOffsets<'a> {
impl Iterable<u32> for StackedStartOffsets<'_> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
let num_values_it = (0..self.column_indexes.len()).flat_map(|columnar_id| {
let num_docs = self.stack_merge_order.columnar_range(columnar_id).len() as u32;
@@ -177,7 +177,7 @@ impl<'a> Iterable<RowId> for StackedOptionalIndex<'a> {
ColumnIndex::Full => Box::new(columnar_row_range),
ColumnIndex::Optional(optional_index) => Box::new(
optional_index
.iter_rows()
.iter_docs()
.map(move |row_id: RowId| columnar_row_range.start + row_id),
),
ColumnIndex::Multivalued(_) => {

View File

@@ -28,7 +28,7 @@ pub enum ColumnIndex {
Full,
Optional(OptionalIndex),
/// In addition, at index num_rows, an extra value is added
/// containing the overal number of values.
/// containing the overall number of values.
Multivalued(MultiValueIndex),
}

View File

@@ -80,23 +80,23 @@ impl BlockVariant {
/// index is the block index. For each block `byte_start` and `offset` is computed.
#[derive(Clone)]
pub struct OptionalIndex {
num_rows: RowId,
num_non_null_rows: RowId,
num_docs: RowId,
num_non_null_docs: RowId,
block_data: OwnedBytes,
block_metas: Arc<[BlockMeta]>,
}
impl<'a> Iterable<u32> for &'a OptionalIndex {
impl Iterable<u32> for &OptionalIndex {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
Box::new(self.iter_rows())
Box::new(self.iter_docs())
}
}
impl std::fmt::Debug for OptionalIndex {
fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
f.debug_struct("OptionalIndex")
.field("num_rows", &self.num_rows)
.field("num_non_null_rows", &self.num_non_null_rows)
.field("num_docs", &self.num_docs)
.field("num_non_null_docs", &self.num_non_null_docs)
.finish_non_exhaustive()
}
}
@@ -123,7 +123,7 @@ enum BlockSelectCursor<'a> {
Sparse(<SparseBlock<'a> as Set<u16>>::SelectCursor<'a>),
}
impl<'a> BlockSelectCursor<'a> {
impl BlockSelectCursor<'_> {
fn select(&mut self, rank: u16) -> u16 {
match self {
BlockSelectCursor::Dense(dense_select_cursor) => dense_select_cursor.select(rank),
@@ -141,7 +141,7 @@ pub struct OptionalIndexSelectCursor<'a> {
num_null_rows_before_block: RowId,
}
impl<'a> OptionalIndexSelectCursor<'a> {
impl OptionalIndexSelectCursor<'_> {
fn search_and_load_block(&mut self, rank: RowId) {
if rank < self.current_block_end_rank {
// we are already in the right block
@@ -165,7 +165,7 @@ impl<'a> OptionalIndexSelectCursor<'a> {
}
}
impl<'a> SelectCursor<RowId> for OptionalIndexSelectCursor<'a> {
impl SelectCursor<RowId> for OptionalIndexSelectCursor<'_> {
fn select(&mut self, rank: RowId) -> RowId {
self.search_and_load_block(rank);
let index_in_block = (rank - self.num_null_rows_before_block) as u16;
@@ -174,7 +174,9 @@ impl<'a> SelectCursor<RowId> for OptionalIndexSelectCursor<'a> {
}
impl Set<RowId> for OptionalIndex {
type SelectCursor<'b> = OptionalIndexSelectCursor<'b> where Self: 'b;
type SelectCursor<'b>
= OptionalIndexSelectCursor<'b>
where Self: 'b;
// Check if value at position is not null.
#[inline]
fn contains(&self, row_id: RowId) -> bool {
@@ -269,17 +271,17 @@ impl OptionalIndex {
}
pub fn num_docs(&self) -> RowId {
self.num_rows
self.num_docs
}
pub fn num_non_nulls(&self) -> RowId {
self.num_non_null_rows
self.num_non_null_docs
}
pub fn iter_rows(&self) -> impl Iterator<Item = RowId> + '_ {
pub fn iter_docs(&self) -> impl Iterator<Item = RowId> + '_ {
// TODO optimize
let mut select_batch = self.select_cursor();
(0..self.num_non_null_rows).map(move |rank| select_batch.select(rank))
(0..self.num_non_null_docs).map(move |rank| select_batch.select(rank))
}
pub fn select_batch(&self, ranks: &mut [RowId]) {
let mut select_cursor = self.select_cursor();
@@ -503,7 +505,7 @@ fn deserialize_optional_index_block_metadatas(
non_null_rows_before_block += num_non_null_rows;
}
block_metas.resize(
((num_rows + ELEMENTS_PER_BLOCK - 1) / ELEMENTS_PER_BLOCK) as usize,
num_rows.div_ceil(ELEMENTS_PER_BLOCK) as usize,
BlockMeta {
non_null_rows_before_block,
start_byte_offset,
@@ -517,15 +519,15 @@ pub fn open_optional_index(bytes: OwnedBytes) -> io::Result<OptionalIndex> {
let (mut bytes, num_non_empty_blocks_bytes) = bytes.rsplit(2);
let num_non_empty_block_bytes =
u16::from_le_bytes(num_non_empty_blocks_bytes.as_slice().try_into().unwrap());
let num_rows = VInt::deserialize_u64(&mut bytes)? as u32;
let num_docs = VInt::deserialize_u64(&mut bytes)? as u32;
let block_metas_num_bytes =
num_non_empty_block_bytes as usize * SERIALIZED_BLOCK_META_NUM_BYTES;
let (block_data, block_metas) = bytes.rsplit(block_metas_num_bytes);
let (block_metas, num_non_null_rows) =
deserialize_optional_index_block_metadatas(block_metas.as_slice(), num_rows);
let (block_metas, num_non_null_docs) =
deserialize_optional_index_block_metadatas(block_metas.as_slice(), num_docs);
let optional_index = OptionalIndex {
num_rows,
num_non_null_rows,
num_docs,
num_non_null_docs,
block_data,
block_metas: block_metas.into(),
};

View File

@@ -23,7 +23,6 @@ fn set_bit_at(input: &mut u64, n: u16) {
///
/// When translating a dense index to the original index, we can use the offset to find the correct
/// block. Direct computation is not possible, but we can employ a linear or binary search.
const ELEMENTS_PER_MINI_BLOCK: u16 = 64;
const MINI_BLOCK_BITVEC_NUM_BYTES: usize = 8;
const MINI_BLOCK_OFFSET_NUM_BYTES: usize = 2;
@@ -109,7 +108,7 @@ pub struct DenseBlockSelectCursor<'a> {
dense_block: DenseBlock<'a>,
}
impl<'a> SelectCursor<u16> for DenseBlockSelectCursor<'a> {
impl SelectCursor<u16> for DenseBlockSelectCursor<'_> {
#[inline]
fn select(&mut self, rank: u16) -> u16 {
self.block_id = self
@@ -123,7 +122,9 @@ impl<'a> SelectCursor<u16> for DenseBlockSelectCursor<'a> {
}
impl<'a> Set<u16> for DenseBlock<'a> {
type SelectCursor<'b> = DenseBlockSelectCursor<'a> where Self: 'b;
type SelectCursor<'b>
= DenseBlockSelectCursor<'a>
where Self: 'b;
#[inline(always)]
fn contains(&self, el: u16) -> bool {
@@ -173,7 +174,7 @@ impl<'a> Set<u16> for DenseBlock<'a> {
}
}
impl<'a> DenseBlock<'a> {
impl DenseBlock<'_> {
#[inline]
fn mini_block(&self, mini_block_id: u16) -> DenseMiniBlock {
let data_start_pos = mini_block_id as usize * MINI_BLOCK_NUM_BYTES;

View File

@@ -31,8 +31,10 @@ impl<'a> SelectCursor<u16> for SparseBlock<'a> {
}
}
impl<'a> Set<u16> for SparseBlock<'a> {
type SelectCursor<'b> = Self where Self: 'b;
impl Set<u16> for SparseBlock<'_> {
type SelectCursor<'b>
= Self
where Self: 'b;
#[inline(always)]
fn contains(&self, el: u16) -> bool {
@@ -67,7 +69,7 @@ fn get_u16(data: &[u8], byte_position: usize) -> u16 {
u16::from_le_bytes(bytes)
}
impl<'a> SparseBlock<'a> {
impl SparseBlock<'_> {
#[inline(always)]
fn value_at_idx(&self, data: &[u8], idx: u16) -> u16 {
let start_offset: usize = idx as usize * 2;
@@ -80,7 +82,7 @@ impl<'a> SparseBlock<'a> {
}
#[inline]
#[allow(clippy::comparison_chain)]
#[expect(clippy::comparison_chain)]
// Looks for the element in the block. Returns the positions if found.
fn binary_search(&self, target: u16) -> Result<u16, u16> {
let data = &self.0;

View File

@@ -110,8 +110,8 @@ fn test_null_index(data: &[bool]) {
.map(|(pos, _val)| pos as u32)
.collect();
let mut select_iter = null_index.select_cursor();
for i in 0..orig_idx_with_value.len() {
assert_eq!(select_iter.select(i as u32), orig_idx_with_value[i]);
for (i, expected) in orig_idx_with_value.iter().enumerate() {
assert_eq!(select_iter.select(i as u32), *expected);
}
let step_size = (orig_idx_with_value.len() / 100).max(1);
@@ -164,7 +164,7 @@ fn test_optional_index_large() {
fn test_optional_index_iter_aux(row_ids: &[RowId], num_rows: RowId) {
let optional_index = OptionalIndex::for_test(num_rows, row_ids);
assert_eq!(optional_index.num_docs(), num_rows);
assert!(optional_index.iter_rows().eq(row_ids.iter().copied()));
assert!(optional_index.iter_docs().eq(row_ids.iter().copied()));
}
#[test]

View File

@@ -31,7 +31,7 @@ pub enum SerializableColumnIndex<'a> {
Multivalued(SerializableMultivalueIndex<'a>),
}
impl<'a> SerializableColumnIndex<'a> {
impl SerializableColumnIndex<'_> {
pub fn get_cardinality(&self) -> Cardinality {
match self {
SerializableColumnIndex::Full => Cardinality::Full,

View File

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

View File

@@ -184,7 +184,7 @@ impl CompactSpaceBuilder {
let mut covered_space = Vec::with_capacity(self.blanks.len());
// begining of the blanks
// beginning of the blanks
if let Some(first_blank_start) = self.blanks.first().map(RangeInclusive::start) {
if *first_blank_start != 0 {
covered_space.push(0..=first_blank_start - 1);

View File

@@ -128,7 +128,7 @@ pub fn open_u128_as_compact_u64(mut bytes: OwnedBytes) -> io::Result<Arc<dyn Col
}
#[cfg(test)]
pub mod tests {
pub(crate) mod tests {
use super::*;
use crate::column_values::u64_based::{
serialize_and_load_u64_based_column_values, serialize_u64_based_column_values,

View File

@@ -39,7 +39,7 @@ impl BinarySerializable for Block {
}
fn compute_num_blocks(num_vals: u32) -> u32 {
(num_vals + BLOCK_SIZE - 1) / BLOCK_SIZE
num_vals.div_ceil(BLOCK_SIZE)
}
pub struct BlockwiseLinearEstimator {

View File

@@ -122,12 +122,11 @@ impl Line {
line
}
/// Returns a line that attemps to approximate a function
/// Returns a line that attempts to approximate a function
/// f: i in 0..[ys.num_vals()) -> ys[i].
///
/// - The approximation is always lower than the actual value.
/// Or more rigorously, formally `f(i).wrapping_sub(ys[i])` is small
/// for any i in [0..ys.len()).
/// - The approximation is always lower than the actual value. Or more rigorously, formally
/// `f(i).wrapping_sub(ys[i])` is small for any i in [0..ys.len()).
/// - It computes without panicking for any value of it.
///
/// This function is only invariable by translation if all of the

View File

@@ -3,7 +3,7 @@ use std::io::{self, Write};
use common::{BitSet, CountingWriter, ReadOnlyBitSet};
use sstable::{SSTable, Streamer, TermOrdinal, VoidSSTable};
use super::term_merger::TermMerger;
use super::term_merger::{TermMerger, TermsWithSegmentOrd};
use crate::column::serialize_column_mappable_to_u64;
use crate::column_index::SerializableColumnIndex;
use crate::iterable::Iterable;
@@ -39,7 +39,7 @@ struct RemappedTermOrdinalsValues<'a> {
merge_row_order: &'a MergeRowOrder,
}
impl<'a> Iterable for RemappedTermOrdinalsValues<'a> {
impl Iterable for RemappedTermOrdinalsValues<'_> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
match self.merge_row_order {
MergeRowOrder::Stack(_) => self.boxed_iter_stacked(),
@@ -50,7 +50,7 @@ impl<'a> Iterable for RemappedTermOrdinalsValues<'a> {
}
}
impl<'a> RemappedTermOrdinalsValues<'a> {
impl RemappedTermOrdinalsValues<'_> {
fn boxed_iter_stacked(&self) -> Box<dyn Iterator<Item = u64> + '_> {
let iter = self
.bytes_columns
@@ -126,14 +126,17 @@ fn serialize_merged_dict(
let mut term_ord_mapping = TermOrdinalMapping::default();
let mut field_term_streams = Vec::new();
for column_opt in bytes_columns.iter() {
for (segment_ord, column_opt) in bytes_columns.iter().enumerate() {
if let Some(column) = column_opt {
term_ord_mapping.add_segment(column.dictionary.num_terms());
let terms: Streamer<VoidSSTable> = column.dictionary.stream()?;
field_term_streams.push(terms);
field_term_streams.push(TermsWithSegmentOrd { terms, segment_ord });
} else {
term_ord_mapping.add_segment(0);
field_term_streams.push(Streamer::empty());
field_term_streams.push(TermsWithSegmentOrd {
terms: Streamer::empty(),
segment_ord,
});
}
}
@@ -191,6 +194,7 @@ fn serialize_merged_dict(
#[derive(Default, Debug)]
struct TermOrdinalMapping {
/// Contains the new term ordinals for each segment.
per_segment_new_term_ordinals: Vec<Vec<TermOrdinal>>,
}
@@ -205,6 +209,6 @@ impl TermOrdinalMapping {
}
fn get_segment(&self, segment_ord: u32) -> &[TermOrdinal] {
&(self.per_segment_new_term_ordinals[segment_ord as usize])[..]
&self.per_segment_new_term_ordinals[segment_ord as usize]
}
}

View File

@@ -26,7 +26,7 @@ impl StackMergeOrder {
let mut cumulated_row_ids: Vec<RowId> = Vec::with_capacity(columnars.len());
let mut cumulated_row_id = 0;
for columnar in columnars {
cumulated_row_id += columnar.num_rows();
cumulated_row_id += columnar.num_docs();
cumulated_row_ids.push(cumulated_row_id);
}
StackMergeOrder { cumulated_row_ids }

View File

@@ -25,7 +25,7 @@ use crate::{
/// After merge, all columns belonging to the same category are coerced to
/// the same column type.
///
/// In practise, today, only Numerical colummns are coerced into one type today.
/// In practise, today, only Numerical columns are coerced into one type today.
///
/// See also [README.md].
///
@@ -63,11 +63,10 @@ impl From<ColumnType> for ColumnTypeCategory {
/// `require_columns` makes it possible to ensure that some columns will be present in the
/// resulting columnar. When a required column is a numerical column type, one of two things can
/// happen:
/// - If the required column type is compatible with all of the input columnar, the resulsting
/// merged
/// columnar will simply coerce the input column and use the required column type.
/// - If the required column type is incompatible with one of the input columnar, the merged
/// will fail with an InvalidData error.
/// - If the required column type is compatible with all of the input columnar, the resulting merged
/// columnar will simply coerce the input column and use the required column type.
/// - If the required column type is incompatible with one of the input columnar, the merged will
/// fail with an InvalidData error.
///
/// `merge_row_order` makes it possible to remove or reorder row in the resulting
/// `Columnar` table.
@@ -81,13 +80,12 @@ pub fn merge_columnar(
output: &mut impl io::Write,
) -> io::Result<()> {
let mut serializer = ColumnarSerializer::new(output);
let num_rows_per_columnar = columnar_readers
let num_docs_per_columnar = columnar_readers
.iter()
.map(|reader| reader.num_rows())
.map(|reader| reader.num_docs())
.collect::<Vec<u32>>();
let columns_to_merge =
group_columns_for_merge(columnar_readers, required_columns, &merge_row_order)?;
let columns_to_merge = group_columns_for_merge(columnar_readers, required_columns)?;
for res in columns_to_merge {
let ((column_name, _column_type_category), grouped_columns) = res;
let grouped_columns = grouped_columns.open(&merge_row_order)?;
@@ -95,15 +93,18 @@ pub fn merge_columnar(
continue;
}
let column_type = grouped_columns.column_type_after_merge();
let column_type_after_merge = grouped_columns.column_type_after_merge();
let mut columns = grouped_columns.columns;
coerce_columns(column_type, &mut columns)?;
// Make sure the number of columns is the same as the number of columnar readers.
// Or num_docs_per_columnar would be incorrect.
assert_eq!(columns.len(), columnar_readers.len());
coerce_columns(column_type_after_merge, &mut columns)?;
let mut column_serializer =
serializer.start_serialize_column(column_name.as_bytes(), column_type);
serializer.start_serialize_column(column_name.as_bytes(), column_type_after_merge);
merge_column(
column_type,
&num_rows_per_columnar,
column_type_after_merge,
&num_docs_per_columnar,
columns,
&merge_row_order,
&mut column_serializer,
@@ -129,7 +130,7 @@ fn dynamic_column_to_u64_monotonic(dynamic_column: DynamicColumn) -> Option<Colu
fn merge_column(
column_type: ColumnType,
num_docs_per_column: &[u32],
columns: Vec<Option<DynamicColumn>>,
columns_to_merge: Vec<Option<DynamicColumn>>,
merge_row_order: &MergeRowOrder,
wrt: &mut impl io::Write,
) -> io::Result<()> {
@@ -139,10 +140,10 @@ fn merge_column(
| ColumnType::F64
| ColumnType::DateTime
| ColumnType::Bool => {
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns.len());
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns_to_merge.len());
let mut column_values: Vec<Option<Arc<dyn ColumnValues>>> =
Vec::with_capacity(columns.len());
for (i, dynamic_column_opt) in columns.into_iter().enumerate() {
Vec::with_capacity(columns_to_merge.len());
for (i, dynamic_column_opt) in columns_to_merge.into_iter().enumerate() {
if let Some(Column { index: idx, values }) =
dynamic_column_opt.and_then(dynamic_column_to_u64_monotonic)
{
@@ -165,10 +166,10 @@ fn merge_column(
serialize_column_mappable_to_u64(merged_column_index, &merge_column_values, wrt)?;
}
ColumnType::IpAddr => {
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns.len());
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns_to_merge.len());
let mut column_values: Vec<Option<Arc<dyn ColumnValues<Ipv6Addr>>>> =
Vec::with_capacity(columns.len());
for (i, dynamic_column_opt) in columns.into_iter().enumerate() {
Vec::with_capacity(columns_to_merge.len());
for (i, dynamic_column_opt) in columns_to_merge.into_iter().enumerate() {
if let Some(DynamicColumn::IpAddr(Column { index: idx, values })) =
dynamic_column_opt
{
@@ -193,9 +194,10 @@ fn merge_column(
serialize_column_mappable_to_u128(merged_column_index, &merge_column_values, wrt)?;
}
ColumnType::Bytes | ColumnType::Str => {
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns.len());
let mut bytes_columns: Vec<Option<BytesColumn>> = Vec::with_capacity(columns.len());
for (i, dynamic_column_opt) in columns.into_iter().enumerate() {
let mut column_indexes: Vec<ColumnIndex> = Vec::with_capacity(columns_to_merge.len());
let mut bytes_columns: Vec<Option<BytesColumn>> =
Vec::with_capacity(columns_to_merge.len());
for (i, dynamic_column_opt) in columns_to_merge.into_iter().enumerate() {
match dynamic_column_opt {
Some(DynamicColumn::Str(str_column)) => {
column_indexes.push(str_column.term_ord_column.index.clone());
@@ -249,7 +251,7 @@ impl GroupedColumns {
if column_type.len() == 1 {
return column_type.into_iter().next().unwrap();
}
// At the moment, only the numerical categorical column type has more than one possible
// At the moment, only the numerical column type category has more than one possible
// column type.
assert!(self
.columns
@@ -362,7 +364,7 @@ fn is_empty_after_merge(
ColumnIndex::Empty { .. } => true,
ColumnIndex::Full => alive_bitset.len() == 0,
ColumnIndex::Optional(optional_index) => {
for doc in optional_index.iter_rows() {
for doc in optional_index.iter_docs() {
if alive_bitset.contains(doc) {
return false;
}
@@ -392,7 +394,6 @@ fn is_empty_after_merge(
fn group_columns_for_merge<'a>(
columnar_readers: &'a [&'a ColumnarReader],
required_columns: &'a [(String, ColumnType)],
_merge_row_order: &'a MergeRowOrder,
) -> io::Result<BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle>> {
let mut columns: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> = BTreeMap::new();

View File

@@ -5,28 +5,29 @@ use sstable::TermOrdinal;
use crate::Streamer;
pub struct HeapItem<'a> {
pub streamer: Streamer<'a>,
/// The terms of a column with the ordinal of the segment.
pub struct TermsWithSegmentOrd<'a> {
pub terms: Streamer<'a>,
pub segment_ord: usize,
}
impl<'a> PartialEq for HeapItem<'a> {
impl PartialEq for TermsWithSegmentOrd<'_> {
fn eq(&self, other: &Self) -> bool {
self.segment_ord == other.segment_ord
}
}
impl<'a> Eq for HeapItem<'a> {}
impl Eq for TermsWithSegmentOrd<'_> {}
impl<'a> PartialOrd for HeapItem<'a> {
fn partial_cmp(&self, other: &HeapItem<'a>) -> Option<Ordering> {
impl<'a> PartialOrd for TermsWithSegmentOrd<'a> {
fn partial_cmp(&self, other: &TermsWithSegmentOrd<'a>) -> Option<Ordering> {
Some(self.cmp(other))
}
}
impl<'a> Ord for HeapItem<'a> {
fn cmp(&self, other: &HeapItem<'a>) -> Ordering {
(&other.streamer.key(), &other.segment_ord).cmp(&(&self.streamer.key(), &self.segment_ord))
impl<'a> Ord for TermsWithSegmentOrd<'a> {
fn cmp(&self, other: &TermsWithSegmentOrd<'a>) -> Ordering {
(&other.terms.key(), &other.segment_ord).cmp(&(&self.terms.key(), &self.segment_ord))
}
}
@@ -35,42 +36,34 @@ impl<'a> Ord for HeapItem<'a> {
///
/// The item yield is actually a pair with
/// - the term
/// - a slice with the ordinal of the segments containing
/// the terms.
/// - a slice with the ordinal of the segments containing the terms.
pub struct TermMerger<'a> {
heap: BinaryHeap<HeapItem<'a>>,
current_streamers: Vec<HeapItem<'a>>,
heap: BinaryHeap<TermsWithSegmentOrd<'a>>,
term_streams_with_segment: Vec<TermsWithSegmentOrd<'a>>,
}
impl<'a> TermMerger<'a> {
/// Stream of merged term dictionary
pub fn new(streams: Vec<Streamer<'a>>) -> TermMerger<'a> {
pub fn new(term_streams_with_segment: Vec<TermsWithSegmentOrd<'a>>) -> TermMerger<'a> {
TermMerger {
heap: BinaryHeap::new(),
current_streamers: streams
.into_iter()
.enumerate()
.map(|(ord, streamer)| HeapItem {
streamer,
segment_ord: ord,
})
.collect(),
term_streams_with_segment,
}
}
pub(crate) fn matching_segments<'b: 'a>(
&'b self,
) -> impl 'b + Iterator<Item = (usize, TermOrdinal)> {
self.current_streamers
self.term_streams_with_segment
.iter()
.map(|heap_item| (heap_item.segment_ord, heap_item.streamer.term_ord()))
.map(|heap_item| (heap_item.segment_ord, heap_item.terms.term_ord()))
}
fn advance_segments(&mut self) {
let streamers = &mut self.current_streamers;
let streamers = &mut self.term_streams_with_segment;
let heap = &mut self.heap;
for mut heap_item in streamers.drain(..) {
if heap_item.streamer.advance() {
if heap_item.terms.advance() {
heap.push(heap_item);
}
}
@@ -82,13 +75,13 @@ impl<'a> TermMerger<'a> {
pub fn advance(&mut self) -> bool {
self.advance_segments();
if let Some(head) = self.heap.pop() {
self.current_streamers.push(head);
self.term_streams_with_segment.push(head);
while let Some(next_streamer) = self.heap.peek() {
if self.current_streamers[0].streamer.key() != next_streamer.streamer.key() {
if self.term_streams_with_segment[0].terms.key() != next_streamer.terms.key() {
break;
}
let next_heap_it = self.heap.pop().unwrap(); // safe : we peeked beforehand
self.current_streamers.push(next_heap_it);
self.term_streams_with_segment.push(next_heap_it);
}
true
} else {
@@ -102,6 +95,6 @@ impl<'a> TermMerger<'a> {
/// if and only if advance() has been called before
/// and "true" was returned.
pub fn key(&self) -> &[u8] {
self.current_streamers[0].streamer.key()
self.term_streams_with_segment[0].terms.key()
}
}

View File

@@ -1,7 +1,10 @@
use itertools::Itertools;
use proptest::collection::vec;
use proptest::prelude::*;
use super::*;
use crate::{Cardinality, ColumnarWriter, HasAssociatedColumnType, RowId};
use crate::columnar::{merge_columnar, ColumnarReader, MergeRowOrder, StackMergeOrder};
use crate::{Cardinality, ColumnarWriter, DynamicColumn, HasAssociatedColumnType, RowId};
fn make_columnar<T: Into<NumericalValue> + HasAssociatedColumnType + Copy>(
column_name: &str,
@@ -26,9 +29,8 @@ fn test_column_coercion_to_u64() {
// u64 type
let columnar2 = make_columnar("numbers", &[u64::MAX]);
let columnars = &[&columnar1, &columnar2];
let merge_order = StackMergeOrder::stack(columnars).into();
let column_map: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> =
group_columns_for_merge(columnars, &[], &merge_order).unwrap();
group_columns_for_merge(columnars, &[]).unwrap();
assert_eq!(column_map.len(), 1);
assert!(column_map.contains_key(&("numbers".to_string(), ColumnTypeCategory::Numerical)));
}
@@ -38,9 +40,8 @@ fn test_column_coercion_to_i64() {
let columnar1 = make_columnar("numbers", &[-1i64]);
let columnar2 = make_columnar("numbers", &[2u64]);
let columnars = &[&columnar1, &columnar2];
let merge_order = StackMergeOrder::stack(columnars).into();
let column_map: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> =
group_columns_for_merge(columnars, &[], &merge_order).unwrap();
group_columns_for_merge(columnars, &[]).unwrap();
assert_eq!(column_map.len(), 1);
assert!(column_map.contains_key(&("numbers".to_string(), ColumnTypeCategory::Numerical)));
}
@@ -63,14 +64,8 @@ fn test_group_columns_with_required_column() {
let columnar1 = make_columnar("numbers", &[1i64]);
let columnar2 = make_columnar("numbers", &[2u64]);
let columnars = &[&columnar1, &columnar2];
let merge_order = StackMergeOrder::stack(columnars).into();
let column_map: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> =
group_columns_for_merge(
&[&columnar1, &columnar2],
&[("numbers".to_string(), ColumnType::U64)],
&merge_order,
)
.unwrap();
group_columns_for_merge(columnars, &[("numbers".to_string(), ColumnType::U64)]).unwrap();
assert_eq!(column_map.len(), 1);
assert!(column_map.contains_key(&("numbers".to_string(), ColumnTypeCategory::Numerical)));
}
@@ -80,13 +75,9 @@ fn test_group_columns_required_column_with_no_existing_columns() {
let columnar1 = make_columnar("numbers", &[2u64]);
let columnar2 = make_columnar("numbers", &[2u64]);
let columnars = &[&columnar1, &columnar2];
let merge_order = StackMergeOrder::stack(columnars).into();
let column_map: BTreeMap<_, _> = group_columns_for_merge(
columnars,
&[("required_col".to_string(), ColumnType::Str)],
&merge_order,
)
.unwrap();
let column_map: BTreeMap<_, _> =
group_columns_for_merge(columnars, &[("required_col".to_string(), ColumnType::Str)])
.unwrap();
assert_eq!(column_map.len(), 2);
let columns = &column_map
.get(&("required_col".to_string(), ColumnTypeCategory::Str))
@@ -102,14 +93,8 @@ fn test_group_columns_required_column_is_above_all_columns_have_the_same_type_ru
let columnar1 = make_columnar("numbers", &[2i64]);
let columnar2 = make_columnar("numbers", &[2i64]);
let columnars = &[&columnar1, &columnar2];
let merge_order = StackMergeOrder::stack(columnars).into();
let column_map: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> =
group_columns_for_merge(
columnars,
&[("numbers".to_string(), ColumnType::U64)],
&merge_order,
)
.unwrap();
group_columns_for_merge(columnars, &[("numbers".to_string(), ColumnType::U64)]).unwrap();
assert_eq!(column_map.len(), 1);
assert!(column_map.contains_key(&("numbers".to_string(), ColumnTypeCategory::Numerical)));
}
@@ -119,9 +104,8 @@ fn test_missing_column() {
let columnar1 = make_columnar("numbers", &[-1i64]);
let columnar2 = make_columnar("numbers2", &[2u64]);
let columnars = &[&columnar1, &columnar2];
let merge_order = StackMergeOrder::stack(columnars).into();
let column_map: BTreeMap<(String, ColumnTypeCategory), GroupedColumnsHandle> =
group_columns_for_merge(columnars, &[], &merge_order).unwrap();
group_columns_for_merge(columnars, &[]).unwrap();
assert_eq!(column_map.len(), 2);
assert!(column_map.contains_key(&("numbers".to_string(), ColumnTypeCategory::Numerical)));
{
@@ -224,7 +208,7 @@ fn test_merge_columnar_numbers() {
)
.unwrap();
let columnar_reader = ColumnarReader::open(buffer).unwrap();
assert_eq!(columnar_reader.num_rows(), 3);
assert_eq!(columnar_reader.num_docs(), 3);
assert_eq!(columnar_reader.num_columns(), 1);
let cols = columnar_reader.read_columns("numbers").unwrap();
let dynamic_column = cols[0].open().unwrap();
@@ -252,7 +236,7 @@ fn test_merge_columnar_texts() {
)
.unwrap();
let columnar_reader = ColumnarReader::open(buffer).unwrap();
assert_eq!(columnar_reader.num_rows(), 3);
assert_eq!(columnar_reader.num_docs(), 3);
assert_eq!(columnar_reader.num_columns(), 1);
let cols = columnar_reader.read_columns("texts").unwrap();
let dynamic_column = cols[0].open().unwrap();
@@ -301,7 +285,7 @@ fn test_merge_columnar_byte() {
)
.unwrap();
let columnar_reader = ColumnarReader::open(buffer).unwrap();
assert_eq!(columnar_reader.num_rows(), 4);
assert_eq!(columnar_reader.num_docs(), 4);
assert_eq!(columnar_reader.num_columns(), 1);
let cols = columnar_reader.read_columns("bytes").unwrap();
let dynamic_column = cols[0].open().unwrap();
@@ -357,7 +341,7 @@ fn test_merge_columnar_byte_with_missing() {
)
.unwrap();
let columnar_reader = ColumnarReader::open(buffer).unwrap();
assert_eq!(columnar_reader.num_rows(), 3 + 2 + 3);
assert_eq!(columnar_reader.num_docs(), 3 + 2 + 3);
assert_eq!(columnar_reader.num_columns(), 2);
let cols = columnar_reader.read_columns("col").unwrap();
let dynamic_column = cols[0].open().unwrap();
@@ -409,7 +393,7 @@ fn test_merge_columnar_different_types() {
)
.unwrap();
let columnar_reader = ColumnarReader::open(buffer).unwrap();
assert_eq!(columnar_reader.num_rows(), 4);
assert_eq!(columnar_reader.num_docs(), 4);
assert_eq!(columnar_reader.num_columns(), 2);
let cols = columnar_reader.read_columns("mixed").unwrap();
@@ -419,11 +403,11 @@ fn test_merge_columnar_different_types() {
panic!()
};
assert_eq!(vals.get_cardinality(), Cardinality::Optional);
assert_eq!(vals.values_for_doc(0).collect_vec(), vec![]);
assert_eq!(vals.values_for_doc(1).collect_vec(), vec![]);
assert_eq!(vals.values_for_doc(2).collect_vec(), vec![]);
assert_eq!(vals.values_for_doc(0).collect_vec(), Vec::<i64>::new());
assert_eq!(vals.values_for_doc(1).collect_vec(), Vec::<i64>::new());
assert_eq!(vals.values_for_doc(2).collect_vec(), Vec::<i64>::new());
assert_eq!(vals.values_for_doc(3).collect_vec(), vec![1]);
assert_eq!(vals.values_for_doc(4).collect_vec(), vec![]);
assert_eq!(vals.values_for_doc(4).collect_vec(), Vec::<i64>::new());
// text column
let dynamic_column = cols[1].open().unwrap();
@@ -474,7 +458,7 @@ fn test_merge_columnar_different_empty_cardinality() {
)
.unwrap();
let columnar_reader = ColumnarReader::open(buffer).unwrap();
assert_eq!(columnar_reader.num_rows(), 2);
assert_eq!(columnar_reader.num_docs(), 2);
assert_eq!(columnar_reader.num_columns(), 2);
let cols = columnar_reader.read_columns("mixed").unwrap();
@@ -486,3 +470,119 @@ fn test_merge_columnar_different_empty_cardinality() {
let dynamic_column = cols[1].open().unwrap();
assert_eq!(dynamic_column.get_cardinality(), Cardinality::Optional);
}
#[derive(Debug, Clone)]
struct ColumnSpec {
column_name: String,
/// (row_id, term)
terms: Vec<(RowId, Vec<u8>)>,
}
#[derive(Clone, Debug)]
struct ColumnarSpec {
columns: Vec<ColumnSpec>,
}
/// Generate a random (row_id, term) pair:
/// - row_id in [0..10]
/// - term is either from POSSIBLE_TERMS or random bytes
fn rowid_and_term_strategy() -> impl Strategy<Value = (RowId, Vec<u8>)> {
const POSSIBLE_TERMS: &[&[u8]] = &[b"a", b"b", b"allo"];
let term_strat = prop_oneof![
// pick from the fixed list
(0..POSSIBLE_TERMS.len()).prop_map(|i| POSSIBLE_TERMS[i].to_vec()),
// or random bytes (length 0..10)
prop::collection::vec(any::<u8>(), 0..10),
];
(0u32..11, term_strat)
}
/// Generate one ColumnSpec, with a random name and a random list of (row_id, term).
/// We sort it by row_id so that data is in ascending order.
fn column_spec_strategy() -> impl Strategy<Value = ColumnSpec> {
let column_name = prop_oneof![
Just("col".to_string()),
Just("col2".to_string()),
"col.*".prop_map(|s| s),
];
// We'll produce 0..8 (rowid,term) entries for this column
let data_strat = vec(rowid_and_term_strategy(), 0..8).prop_map(|mut pairs| {
// Sort by row_id
pairs.sort_by_key(|(row_id, _)| *row_id);
pairs
});
(column_name, data_strat).prop_map(|(name, data)| ColumnSpec {
column_name: name,
terms: data,
})
}
/// Strategy to generate an ColumnarSpec
fn columnar_strategy() -> impl Strategy<Value = ColumnarSpec> {
vec(column_spec_strategy(), 0..3).prop_map(|columns| ColumnarSpec { columns })
}
/// Strategy to generate multiple ColumnarSpecs, each of which we will treat
/// as one "columnar" to be merged together.
fn columnars_strategy() -> impl Strategy<Value = Vec<ColumnarSpec>> {
vec(columnar_strategy(), 1..4)
}
/// Build a `ColumnarReader` from a `ColumnarSpec`
fn build_columnar(spec: &ColumnarSpec) -> ColumnarReader {
let mut writer = ColumnarWriter::default();
let mut max_row_id = 0;
for col in &spec.columns {
for &(row_id, ref term) in &col.terms {
writer.record_bytes(row_id, &col.column_name, term);
max_row_id = max_row_id.max(row_id);
}
}
let mut buffer = Vec::new();
writer.serialize(max_row_id + 1, &mut buffer).unwrap();
ColumnarReader::open(buffer).unwrap()
}
proptest! {
// We just test that the merge_columnar function doesn't crash.
#![proptest_config(ProptestConfig::with_cases(256))]
#[test]
fn test_merge_columnar_bytes_no_crash(columnars in columnars_strategy(), second_merge_columnars in columnars_strategy()) {
let columnars: Vec<ColumnarReader> = columnars.iter()
.map(build_columnar)
.collect();
let mut out = Vec::new();
let columnar_refs: Vec<&ColumnarReader> = columnars.iter().collect();
let stack_merge_order = StackMergeOrder::stack(&columnar_refs);
merge_columnar(
&columnar_refs,
&[],
MergeRowOrder::Stack(stack_merge_order),
&mut out,
).unwrap();
let merged_reader = ColumnarReader::open(out).unwrap();
// Merge the second set of columnars with the result of the first merge
let mut columnars: Vec<ColumnarReader> = second_merge_columnars.iter()
.map(build_columnar)
.collect();
columnars.push(merged_reader);
let mut out = Vec::new();
let columnar_refs: Vec<&ColumnarReader> = columnars.iter().collect();
let stack_merge_order = StackMergeOrder::stack(&columnar_refs);
merge_columnar(
&columnar_refs,
&[],
MergeRowOrder::Stack(stack_merge_order),
&mut out,
).unwrap();
}
}

View File

@@ -1,6 +1,7 @@
use std::{fmt, io, mem};
use common::file_slice::FileSlice;
use common::json_path_writer::JSON_PATH_SEGMENT_SEP;
use common::BinarySerializable;
use sstable::{Dictionary, RangeSSTable};
@@ -18,13 +19,13 @@ fn io_invalid_data(msg: String) -> io::Error {
pub struct ColumnarReader {
column_dictionary: Dictionary<RangeSSTable>,
column_data: FileSlice,
num_rows: RowId,
num_docs: RowId,
format_version: Version,
}
impl fmt::Debug for ColumnarReader {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
let num_rows = self.num_rows();
let num_rows = self.num_docs();
let columns = self.list_columns().unwrap();
let num_cols = columns.len();
let mut debug_struct = f.debug_struct("Columnar");
@@ -76,6 +77,19 @@ fn read_all_columns_in_stream(
Ok(results)
}
fn column_dictionary_prefix_for_column_name(column_name: &str) -> String {
// Each column is a associated to a given `column_key`,
// that starts by `column_name\0column_header`.
//
// Listing the columns associated to the given column name is therefore equivalent to
// listing `column_key` with the prefix `column_name\0`.
format!("{}{}", column_name, '\0')
}
fn column_dictionary_prefix_for_subpath(root_path: &str) -> String {
format!("{}{}", root_path, JSON_PATH_SEGMENT_SEP as char)
}
impl ColumnarReader {
/// Opens a new Columnar file.
pub fn open<F>(file_slice: F) -> io::Result<ColumnarReader>
@@ -98,13 +112,13 @@ impl ColumnarReader {
Ok(ColumnarReader {
column_dictionary,
column_data,
num_rows,
num_docs: num_rows,
format_version,
})
}
pub fn num_rows(&self) -> RowId {
self.num_rows
pub fn num_docs(&self) -> RowId {
self.num_docs
}
// Iterate over the columns in a sorted way
pub fn iter_columns(
@@ -144,32 +158,14 @@ impl ColumnarReader {
Ok(self.iter_columns()?.collect())
}
fn stream_for_column_range(&self, column_name: &str) -> sstable::StreamerBuilder<RangeSSTable> {
// Each column is a associated to a given `column_key`,
// that starts by `column_name\0column_header`.
//
// Listing the columns associated to the given column name is therefore equivalent to
// listing `column_key` with the prefix `column_name\0`.
//
// This is in turn equivalent to searching for the range
// `[column_name,\0`..column_name\1)`.
// TODO can we get some more generic `prefix(..)` logic in the dictionary.
let mut start_key = column_name.to_string();
start_key.push('\0');
let mut end_key = column_name.to_string();
end_key.push(1u8 as char);
self.column_dictionary
.range()
.ge(start_key.as_bytes())
.lt(end_key.as_bytes())
}
pub async fn read_columns_async(
&self,
column_name: &str,
) -> io::Result<Vec<DynamicColumnHandle>> {
let prefix = column_dictionary_prefix_for_column_name(column_name);
let stream = self
.stream_for_column_range(column_name)
.column_dictionary
.prefix_range(prefix)
.into_stream_async()
.await?;
read_all_columns_in_stream(stream, &self.column_data, self.format_version)
@@ -180,7 +176,35 @@ impl ColumnarReader {
/// There can be more than one column associated to a given column name, provided they have
/// different types.
pub fn read_columns(&self, column_name: &str) -> io::Result<Vec<DynamicColumnHandle>> {
let stream = self.stream_for_column_range(column_name).into_stream()?;
let prefix = column_dictionary_prefix_for_column_name(column_name);
let stream = self.column_dictionary.prefix_range(prefix).into_stream()?;
read_all_columns_in_stream(stream, &self.column_data, self.format_version)
}
pub async fn read_subpath_columns_async(
&self,
root_path: &str,
) -> io::Result<Vec<DynamicColumnHandle>> {
let prefix = column_dictionary_prefix_for_subpath(root_path);
let stream = self
.column_dictionary
.prefix_range(prefix)
.into_stream_async()
.await?;
read_all_columns_in_stream(stream, &self.column_data, self.format_version)
}
/// Get all inner columns for a given JSON prefix, i.e columns for which the name starts
/// with the prefix then contain the [`JSON_PATH_SEGMENT_SEP`].
///
/// There can be more than one column associated to each path within the JSON structure,
/// provided they have different types.
pub fn read_subpath_columns(&self, root_path: &str) -> io::Result<Vec<DynamicColumnHandle>> {
let prefix = column_dictionary_prefix_for_subpath(root_path);
let stream = self
.column_dictionary
.prefix_range(prefix.as_bytes())
.into_stream()?;
read_all_columns_in_stream(stream, &self.column_data, self.format_version)
}
@@ -192,6 +216,8 @@ impl ColumnarReader {
#[cfg(test)]
mod tests {
use common::json_path_writer::JSON_PATH_SEGMENT_SEP;
use crate::{ColumnType, ColumnarReader, ColumnarWriter};
#[test]
@@ -224,6 +250,64 @@ mod tests {
assert_eq!(columns[0].1.column_type(), ColumnType::U64);
}
#[test]
fn test_read_columns() {
let mut columnar_writer = ColumnarWriter::default();
columnar_writer.record_column_type("col", ColumnType::U64, false);
columnar_writer.record_numerical(1, "col", 1u64);
let mut buffer = Vec::new();
columnar_writer.serialize(2, &mut buffer).unwrap();
let columnar = ColumnarReader::open(buffer).unwrap();
{
let columns = columnar.read_columns("col").unwrap();
assert_eq!(columns.len(), 1);
assert_eq!(columns[0].column_type(), ColumnType::U64);
}
{
let columns = columnar.read_columns("other").unwrap();
assert_eq!(columns.len(), 0);
}
}
#[test]
fn test_read_subpath_columns() {
let mut columnar_writer = ColumnarWriter::default();
columnar_writer.record_str(
0,
&format!("col1{}subcol1", JSON_PATH_SEGMENT_SEP as char),
"hello",
);
columnar_writer.record_numerical(
0,
&format!("col1{}subcol2", JSON_PATH_SEGMENT_SEP as char),
1i64,
);
columnar_writer.record_str(1, "col1", "hello");
columnar_writer.record_str(0, "col2", "hello");
let mut buffer = Vec::new();
columnar_writer.serialize(2, &mut buffer).unwrap();
let columnar = ColumnarReader::open(buffer).unwrap();
{
let columns = columnar.read_subpath_columns("col1").unwrap();
assert_eq!(columns.len(), 2);
assert_eq!(columns[0].column_type(), ColumnType::Str);
assert_eq!(columns[1].column_type(), ColumnType::I64);
}
{
let columns = columnar.read_subpath_columns("col1.subcol1").unwrap();
assert_eq!(columns.len(), 0);
}
{
let columns = columnar.read_subpath_columns("col2").unwrap();
assert_eq!(columns.len(), 0);
}
{
let columns = columnar.read_subpath_columns("other").unwrap();
assert_eq!(columns.len(), 0);
}
}
#[test]
#[should_panic(expected = "Input type forbidden")]
fn test_list_columns_strict_typing_panics_on_wrong_types() {

View File

@@ -87,7 +87,7 @@ impl<V: SymbolValue> ColumnOperation<V> {
minibuf
}
/// Deserialize a colummn operation.
/// Deserialize a column operation.
/// Returns None if the buffer is empty.
///
/// Panics if the payload is invalid:
@@ -122,7 +122,6 @@ impl<T> From<T> for ColumnOperation<T> {
// In order to limit memory usage, and in order
// to benefit from the stacker, we do this by serialization our data
// as "Symbols".
#[allow(clippy::from_over_into)]
pub(super) trait SymbolValue: Clone + Copy {
// Serializes the symbol into the given buffer.
// Returns the number of bytes written into the buffer.

View File

@@ -285,7 +285,6 @@ impl ColumnarWriter {
.map(|(column_name, addr)| (column_name, ColumnType::DateTime, addr)),
);
columns.sort_unstable_by_key(|(column_name, col_type, _)| (*column_name, *col_type));
let (arena, buffers, dictionaries) = (&self.arena, &mut self.buffers, &self.dictionaries);
let mut symbol_byte_buffer: Vec<u8> = Vec::new();
for (column_name, column_type, addr) in columns {
@@ -392,7 +391,7 @@ impl ColumnarWriter {
// Serialize [Dictionary, Column, dictionary num bytes U32::LE]
// Column: [Column Index, Column Values, column index num bytes U32::LE]
#[allow(clippy::too_many_arguments)]
#[expect(clippy::too_many_arguments)]
fn serialize_bytes_or_str_column(
cardinality: Cardinality,
num_docs: RowId,

View File

@@ -67,7 +67,7 @@ pub struct ColumnSerializer<'a, W: io::Write> {
start_offset: u64,
}
impl<'a, W: io::Write> ColumnSerializer<'a, W> {
impl<W: io::Write> ColumnSerializer<'_, W> {
pub fn finalize(self) -> io::Result<()> {
let end_offset: u64 = self.columnar_serializer.wrt.written_bytes();
let byte_range = self.start_offset..end_offset;
@@ -80,7 +80,7 @@ impl<'a, W: io::Write> ColumnSerializer<'a, W> {
}
}
impl<'a, W: io::Write> io::Write for ColumnSerializer<'a, W> {
impl<W: io::Write> io::Write for ColumnSerializer<'_, W> {
fn write(&mut self, buf: &[u8]) -> io::Result<usize> {
self.columnar_serializer.wrt.write(buf)
}

View File

@@ -7,7 +7,7 @@ pub trait Iterable<T = u64> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = T> + '_>;
}
impl<'a, T: Copy> Iterable<T> for &'a [T] {
impl<T: Copy> Iterable<T> for &[T] {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = T> + '_> {
Box::new(self.iter().copied())
}

View File

@@ -380,7 +380,7 @@ fn assert_columnar_eq(
right: &ColumnarReader,
lenient_on_numerical_value: bool,
) {
assert_eq!(left.num_rows(), right.num_rows());
assert_eq!(left.num_docs(), right.num_docs());
let left_columns = left.list_columns().unwrap();
let right_columns = right.list_columns().unwrap();
assert_eq!(left_columns.len(), right_columns.len());
@@ -588,7 +588,7 @@ proptest! {
#[test]
fn test_single_columnar_builder_proptest(docs in columnar_docs_strategy()) {
let columnar = build_columnar(&docs[..]);
assert_eq!(columnar.num_rows() as usize, docs.len());
assert_eq!(columnar.num_docs() as usize, docs.len());
let mut expected_columns: HashMap<(&str, ColumnTypeCategory), HashMap<u32, Vec<&ColumnValue>> > = Default::default();
for (doc_id, doc_vals) in docs.iter().enumerate() {
for (col_name, col_val) in doc_vals {
@@ -715,6 +715,7 @@ fn test_columnar_merging_number_columns() {
// TODO test required_columns
// TODO document edge case: required_columns incompatible with values.
#[allow(clippy::type_complexity)]
fn columnar_docs_and_remap(
) -> impl Strategy<Value = (Vec<Vec<Vec<(&'static str, ColumnValue)>>>, Vec<RowAddr>)> {
proptest::collection::vec(columnar_docs_strategy(), 2..=3).prop_flat_map(
@@ -819,7 +820,7 @@ fn test_columnar_merge_empty() {
)
.unwrap();
let merged_columnar = ColumnarReader::open(output).unwrap();
assert_eq!(merged_columnar.num_rows(), 0);
assert_eq!(merged_columnar.num_docs(), 0);
assert_eq!(merged_columnar.num_columns(), 0);
}
@@ -845,7 +846,7 @@ fn test_columnar_merge_single_str_column() {
)
.unwrap();
let merged_columnar = ColumnarReader::open(output).unwrap();
assert_eq!(merged_columnar.num_rows(), 1);
assert_eq!(merged_columnar.num_docs(), 1);
assert_eq!(merged_columnar.num_columns(), 1);
}
@@ -877,7 +878,7 @@ fn test_delete_decrease_cardinality() {
)
.unwrap();
let merged_columnar = ColumnarReader::open(output).unwrap();
assert_eq!(merged_columnar.num_rows(), 1);
assert_eq!(merged_columnar.num_docs(), 1);
assert_eq!(merged_columnar.num_columns(), 1);
let cols = merged_columnar.read_columns("c").unwrap();
assert_eq!(cols.len(), 1);

View File

@@ -17,6 +17,31 @@ impl NumericalValue {
NumericalValue::F64(_) => NumericalType::F64,
}
}
/// Tries to normalize the numerical value in the following priorities:
/// i64, i64, f64
pub fn normalize(self) -> Self {
match self {
NumericalValue::U64(val) => {
if val <= i64::MAX as u64 {
NumericalValue::I64(val as i64)
} else {
NumericalValue::F64(val as f64)
}
}
NumericalValue::I64(val) => NumericalValue::I64(val),
NumericalValue::F64(val) => {
let fract = val.fract();
if fract == 0.0 && val >= i64::MIN as f64 && val <= i64::MAX as f64 {
NumericalValue::I64(val as i64)
} else if fract == 0.0 && val >= u64::MIN as f64 && val <= u64::MAX as f64 {
NumericalValue::U64(val as u64)
} else {
NumericalValue::F64(val)
}
}
}
}
}
impl From<u64> for NumericalValue {

View File

@@ -1,6 +1,6 @@
[package]
name = "tantivy-common"
version = "0.7.0"
version = "0.9.0"
authors = ["Paul Masurel <paul@quickwit.io>", "Pascal Seitz <pascal@quickwit.io>"]
license = "MIT"
edition = "2021"
@@ -13,13 +13,13 @@ repository = "https://github.com/quickwit-oss/tantivy"
[dependencies]
byteorder = "1.4.3"
ownedbytes = { version= "0.7", path="../ownedbytes" }
ownedbytes = { version= "0.9", path="../ownedbytes" }
async-trait = "0.1"
time = { version = "0.3.10", features = ["serde-well-known"] }
serde = { version = "1.0.136", features = ["derive"] }
[dev-dependencies]
binggan = "0.8.1"
binggan = "0.14.0"
proptest = "1.0.0"
rand = "0.8.4"

130
common/src/bounds.rs Normal file
View File

@@ -0,0 +1,130 @@
use std::io;
use std::ops::Bound;
#[derive(Clone, Debug)]
pub struct BoundsRange<T> {
pub lower_bound: Bound<T>,
pub upper_bound: Bound<T>,
}
impl<T> BoundsRange<T> {
pub fn new(lower_bound: Bound<T>, upper_bound: Bound<T>) -> Self {
BoundsRange {
lower_bound,
upper_bound,
}
}
pub fn is_unbounded(&self) -> bool {
matches!(self.lower_bound, Bound::Unbounded) && matches!(self.upper_bound, Bound::Unbounded)
}
pub fn map_bound<TTo>(&self, transform: impl Fn(&T) -> TTo) -> BoundsRange<TTo> {
BoundsRange {
lower_bound: map_bound(&self.lower_bound, &transform),
upper_bound: map_bound(&self.upper_bound, &transform),
}
}
pub fn map_bound_res<TTo, Err>(
&self,
transform: impl Fn(&T) -> Result<TTo, Err>,
) -> Result<BoundsRange<TTo>, Err> {
Ok(BoundsRange {
lower_bound: map_bound_res(&self.lower_bound, &transform)?,
upper_bound: map_bound_res(&self.upper_bound, &transform)?,
})
}
pub fn transform_inner<TTo>(
&self,
transform_lower: impl Fn(&T) -> TransformBound<TTo>,
transform_upper: impl Fn(&T) -> TransformBound<TTo>,
) -> BoundsRange<TTo> {
BoundsRange {
lower_bound: transform_bound_inner(&self.lower_bound, &transform_lower),
upper_bound: transform_bound_inner(&self.upper_bound, &transform_upper),
}
}
/// Returns the first set inner value
pub fn get_inner(&self) -> Option<&T> {
inner_bound(&self.lower_bound).or(inner_bound(&self.upper_bound))
}
}
pub enum TransformBound<T> {
/// Overwrite the bounds
NewBound(Bound<T>),
/// Use Existing bounds with new value
Existing(T),
}
/// Takes a bound and transforms the inner value into a new bound via a closure.
/// The bound variant may change by the value returned value from the closure.
pub fn transform_bound_inner_res<TFrom, TTo>(
bound: &Bound<TFrom>,
transform: impl Fn(&TFrom) -> io::Result<TransformBound<TTo>>,
) -> io::Result<Bound<TTo>> {
use self::Bound::*;
Ok(match bound {
Excluded(ref from_val) => match transform(from_val)? {
TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Excluded(new_val),
},
Included(ref from_val) => match transform(from_val)? {
TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Included(new_val),
},
Unbounded => Unbounded,
})
}
/// Takes a bound and transforms the inner value into a new bound via a closure.
/// The bound variant may change by the value returned value from the closure.
pub fn transform_bound_inner<TFrom, TTo>(
bound: &Bound<TFrom>,
transform: impl Fn(&TFrom) -> TransformBound<TTo>,
) -> Bound<TTo> {
use self::Bound::*;
match bound {
Excluded(ref from_val) => match transform(from_val) {
TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Excluded(new_val),
},
Included(ref from_val) => match transform(from_val) {
TransformBound::NewBound(new_val) => new_val,
TransformBound::Existing(new_val) => Included(new_val),
},
Unbounded => Unbounded,
}
}
/// Returns the inner value of a `Bound`
pub fn inner_bound<T>(val: &Bound<T>) -> Option<&T> {
match val {
Bound::Included(term) | Bound::Excluded(term) => Some(term),
Bound::Unbounded => None,
}
}
pub fn map_bound<TFrom, TTo>(
bound: &Bound<TFrom>,
transform: impl Fn(&TFrom) -> TTo,
) -> Bound<TTo> {
use self::Bound::*;
match bound {
Excluded(ref from_val) => Bound::Excluded(transform(from_val)),
Included(ref from_val) => Bound::Included(transform(from_val)),
Unbounded => Unbounded,
}
}
pub fn map_bound_res<TFrom, TTo, Err>(
bound: &Bound<TFrom>,
transform: impl Fn(&TFrom) -> Result<TTo, Err>,
) -> Result<Bound<TTo>, Err> {
use self::Bound::*;
Ok(match bound {
Excluded(ref from_val) => Excluded(transform(from_val)?),
Included(ref from_val) => Included(transform(from_val)?),
Unbounded => Unbounded,
})
}

View File

@@ -1,5 +1,6 @@
use std::fs::File;
use std::ops::{Deref, Range, RangeBounds};
use std::path::Path;
use std::sync::Arc;
use std::{fmt, io};
@@ -177,6 +178,12 @@ fn combine_ranges<R: RangeBounds<usize>>(orig_range: Range<usize>, rel_range: R)
}
impl FileSlice {
/// Creates a FileSlice from a path.
pub fn open(path: &Path) -> io::Result<FileSlice> {
let wrap_file = WrapFile::new(File::open(path)?)?;
Ok(FileSlice::new(Arc::new(wrap_file)))
}
/// Wraps a FileHandle.
pub fn new(file_handle: Arc<dyn FileHandle>) -> Self {
let num_bytes = file_handle.len();

View File

@@ -5,6 +5,7 @@ use std::ops::Deref;
pub use byteorder::LittleEndian as Endianness;
mod bitset;
pub mod bounds;
mod byte_count;
mod datetime;
pub mod file_slice;
@@ -129,11 +130,11 @@ pub fn replace_in_place(needle: u8, replacement: u8, bytes: &mut [u8]) {
}
#[cfg(test)]
pub mod test {
pub(crate) mod test {
use proptest::prelude::*;
use super::{f64_to_u64, i64_to_u64, u64_to_f64, u64_to_i64, BinarySerializable, FixedSize};
use super::{f64_to_u64, i64_to_u64, u64_to_f64, u64_to_i64};
fn test_i64_converter_helper(val: i64) {
assert_eq!(u64_to_i64(i64_to_u64(val)), val);
@@ -143,12 +144,6 @@ pub mod test {
assert_eq!(u64_to_f64(f64_to_u64(val)), val);
}
pub fn fixed_size_test<O: BinarySerializable + FixedSize + Default>() {
let mut buffer = Vec::new();
O::default().serialize(&mut buffer).unwrap();
assert_eq!(buffer.len(), O::SIZE_IN_BYTES);
}
proptest! {
#[test]
fn test_f64_converter_monotonicity_proptest((left, right) in (proptest::num::f64::NORMAL, proptest::num::f64::NORMAL)) {

View File

@@ -74,14 +74,14 @@ impl FixedSize for () {
impl<T: BinarySerializable> BinarySerializable for Vec<T> {
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> io::Result<()> {
VInt(self.len() as u64).serialize(writer)?;
BinarySerializable::serialize(&VInt(self.len() as u64), writer)?;
for it in self {
it.serialize(writer)?;
}
Ok(())
}
fn deserialize<R: Read>(reader: &mut R) -> io::Result<Vec<T>> {
let num_items = VInt::deserialize(reader)?.val();
let num_items = <VInt as BinarySerializable>::deserialize(reader)?.val();
let mut items: Vec<T> = Vec::with_capacity(num_items as usize);
for _ in 0..num_items {
let item = T::deserialize(reader)?;
@@ -236,12 +236,12 @@ impl FixedSize for bool {
impl BinarySerializable for String {
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> io::Result<()> {
let data: &[u8] = self.as_bytes();
VInt(data.len() as u64).serialize(writer)?;
BinarySerializable::serialize(&VInt(data.len() as u64), writer)?;
writer.write_all(data)
}
fn deserialize<R: Read>(reader: &mut R) -> io::Result<String> {
let string_length = VInt::deserialize(reader)?.val() as usize;
let string_length = <VInt as BinarySerializable>::deserialize(reader)?.val() as usize;
let mut result = String::with_capacity(string_length);
reader
.take(string_length as u64)
@@ -253,12 +253,12 @@ impl BinarySerializable for String {
impl<'a> BinarySerializable for Cow<'a, str> {
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> io::Result<()> {
let data: &[u8] = self.as_bytes();
VInt(data.len() as u64).serialize(writer)?;
BinarySerializable::serialize(&VInt(data.len() as u64), writer)?;
writer.write_all(data)
}
fn deserialize<R: Read>(reader: &mut R) -> io::Result<Cow<'a, str>> {
let string_length = VInt::deserialize(reader)?.val() as usize;
let string_length = <VInt as BinarySerializable>::deserialize(reader)?.val() as usize;
let mut result = String::with_capacity(string_length);
reader
.take(string_length as u64)
@@ -269,18 +269,18 @@ impl<'a> BinarySerializable for Cow<'a, str> {
impl<'a> BinarySerializable for Cow<'a, [u8]> {
fn serialize<W: Write + ?Sized>(&self, writer: &mut W) -> io::Result<()> {
VInt(self.len() as u64).serialize(writer)?;
BinarySerializable::serialize(&VInt(self.len() as u64), writer)?;
for it in self.iter() {
it.serialize(writer)?;
BinarySerializable::serialize(it, writer)?;
}
Ok(())
}
fn deserialize<R: Read>(reader: &mut R) -> io::Result<Cow<'a, [u8]>> {
let num_items = VInt::deserialize(reader)?.val();
let num_items = <VInt as BinarySerializable>::deserialize(reader)?.val();
let mut items: Vec<u8> = Vec::with_capacity(num_items as usize);
for _ in 0..num_items {
let item = u8::deserialize(reader)?;
let item = <u8 as BinarySerializable>::deserialize(reader)?;
items.push(item);
}
Ok(Cow::Owned(items))

View File

@@ -87,7 +87,7 @@ impl<W: TerminatingWrite> TerminatingWrite for BufWriter<W> {
}
}
impl<'a> TerminatingWrite for &'a mut Vec<u8> {
impl TerminatingWrite for &mut Vec<u8> {
fn terminate_ref(&mut self, _a: AntiCallToken) -> io::Result<()> {
self.flush()
}

View File

@@ -2,7 +2,7 @@
> Tantivy is a **search** engine **library** for Rust.
If you are familiar with Lucene, it's an excellent approximation to consider tantivy as Lucene for rust. tantivy is heavily inspired by Lucene's design and
If you are familiar with Lucene, it's an excellent approximation to consider tantivy as Lucene for Rust. Tantivy is heavily inspired by Lucene's design and
they both have the same scope and targeted use cases.
If you are not familiar with Lucene, let's break down our little tagline.
@@ -17,7 +17,7 @@ relevancy, collapsing, highlighting, spatial search.
experience. But keep in mind this is just a toolbox.
Which bring us to the second keyword...
- **Library** means that you will have to write code. tantivy is not an *all-in-one* server solution like elastic search for instance.
- **Library** means that you will have to write code. Tantivy is not an *all-in-one* server solution like Elasticsearch for instance.
Sometimes a functionality will not be available in tantivy because it is too
specific to your use case. By design, tantivy should make it possible to extend
@@ -31,4 +31,4 @@ relevancy, collapsing, highlighting, spatial search.
index from a different format.
Tantivy exposes a lot of low level API to do all of these things.

View File

@@ -11,7 +11,7 @@ directory shipped with tantivy is the `MmapDirectory`.
While this design has some downsides, this greatly simplifies the source code of
tantivy. Caching is also entirely delegated to the OS.
`tantivy` works entirely (or almost) by directly reading the datastructures as they are laid on disk. As a result, the act of opening an indexing does not involve loading different datastructures from the disk into random access memory : starting a process, opening an index, and performing your first query can typically be done in a matter of milliseconds.
Tantivy works entirely (or almost) by directly reading the datastructures as they are laid on disk. As a result, the act of opening an indexing does not involve loading different datastructures from the disk into random access memory : starting a process, opening an index, and performing your first query can typically be done in a matter of milliseconds.
This is an interesting property for a command line search engine, or for some multi-tenant log search engine : spawning a new process for each new query can be a perfectly sensible solution in some use case.

View File

@@ -31,13 +31,13 @@ Compression ratio is mainly affected on the fast field of the sorted property, e
When data is presorted by a field and search queries request sorting by the same field, we can leverage the natural order of the documents.
E.g. if the data is sorted by timestamp and want the top n newest docs containing a term, we can simply leveraging the order of the docids.
Note: Tantivy 0.16 does not do this optimization yet.
Note: tantivy 0.16 does not do this optimization yet.
### Pruning
Let's say we want all documents and want to apply the filter `>= 2010-08-11`. When the data is sorted, we could make a lookup in the fast field to find the docid range and use this as the filter.
Note: Tantivy 0.16 does not do this optimization yet.
Note: tantivy 0.16 does not do this optimization yet.
### Other?
@@ -45,7 +45,7 @@ In principle there are many algorithms possible that exploit the monotonically i
## Usage
The index sorting can be configured setting [`sort_by_field`](https://github.com/quickwit-oss/tantivy/blob/000d76b11a139a84b16b9b95060a1c93e8b9851c/src/core/index_meta.rs#L238) on `IndexSettings` and passing it to a `IndexBuilder`. As of Tantivy 0.16 only fast fields are allowed to be used.
The index sorting can be configured setting [`sort_by_field`](https://github.com/quickwit-oss/tantivy/blob/000d76b11a139a84b16b9b95060a1c93e8b9851c/src/core/index_meta.rs#L238) on `IndexSettings` and passing it to a `IndexBuilder`. As of tantivy 0.16 only fast fields are allowed to be used.
```rust
let settings = IndexSettings {

View File

@@ -39,7 +39,7 @@ Its representation is done by separating segments by a unicode char `\x01`, and
- `value`: The value representation is just the regular Value representation.
This representation is designed to align the natural sort of Terms with the lexicographical sort
of their binary representation (Tantivy's dictionary (whether fst or sstable) is sorted and does prefix encoding).
of their binary representation (tantivy's dictionary (whether fst or sstable) is sorted and does prefix encoding).
In the example above, the terms will be sorted as

View File

@@ -28,7 +28,7 @@ fn main() -> tantivy::Result<()> {
let mut index_writer: IndexWriter = index.writer_with_num_threads(1, 50_000_000)?;
index_writer.add_document(doc!(title => "The Old Man and the Sea"))?;
index_writer.add_document(doc!(title => "Of Mice and Men"))?;
index_writer.add_document(doc!(title => "The modern Promotheus"))?;
index_writer.add_document(doc!(title => "The modern Prometheus"))?;
index_writer.commit()?;
let reader = index.reader()?;

View File

@@ -1,7 +1,7 @@
[package]
authors = ["Paul Masurel <paul@quickwit.io>", "Pascal Seitz <pascal@quickwit.io>"]
name = "ownedbytes"
version = "0.7.0"
version = "0.9.0"
edition = "2021"
description = "Expose data as static slice"
license = "MIT"

View File

@@ -151,7 +151,7 @@ impl fmt::Debug for OwnedBytes {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
// We truncate the bytes in order to make sure the debug string
// is not too long.
let bytes_truncated: &[u8] = if self.len() > 8 {
let bytes_truncated: &[u8] = if self.len() > 10 {
&self.as_slice()[..10]
} else {
self.as_slice()
@@ -252,6 +252,11 @@ mod tests {
format!("{short_bytes:?}"),
"OwnedBytes([97, 98, 99, 100], len=4)"
);
let medium_bytes = OwnedBytes::new(b"abcdefghi".as_ref());
assert_eq!(
format!("{medium_bytes:?}"),
"OwnedBytes([97, 98, 99, 100, 101, 102, 103, 104, 105], len=9)"
);
let long_bytes = OwnedBytes::new(b"abcdefghijklmnopq".as_ref());
assert_eq!(
format!("{long_bytes:?}"),

View File

@@ -1,6 +1,6 @@
[package]
name = "tantivy-query-grammar"
version = "0.22.0"
version = "0.24.0"
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
license = "MIT"
categories = ["database-implementations", "data-structures"]
@@ -13,3 +13,5 @@ edition = "2021"
[dependencies]
nom = "7"
serde = { version = "1.0.219", features = ["derive"] }
serde_json = "1.0.140"

View File

@@ -3,6 +3,7 @@
use std::convert::Infallible;
use nom::{AsChar, IResult, InputLength, InputTakeAtPosition};
use serde::Serialize;
pub(crate) type ErrorList = Vec<LenientErrorInternal>;
pub(crate) type JResult<I, O> = IResult<I, (O, ErrorList), Infallible>;
@@ -15,7 +16,8 @@ pub(crate) struct LenientErrorInternal {
}
/// A recoverable error and the position it happened at
#[derive(Debug, PartialEq)]
#[derive(Debug, PartialEq, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct LenientError {
pub pos: usize,
pub message: String,
@@ -109,6 +111,8 @@ where F: nom::Parser<I, (O, ErrorList), Infallible> {
move |input: I| match f.parse(input) {
Ok((input, (output, _err))) => Ok((input, output)),
Err(Err::Incomplete(needed)) => Err(Err::Incomplete(needed)),
// old versions don't understand this is uninhabited and need the empty match to help,
// newer versions warn because this arm is unreachable (which it is indeed).
Err(Err::Error(val)) | Err(Err::Failure(val)) => match val {},
}
}
@@ -351,3 +355,21 @@ where
{
move |i: I| l.choice(i.clone()).unwrap_or_else(|| default.parse(i))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_lenient_error_serialization() {
let error = LenientError {
pos: 42,
message: "test error message".to_string(),
};
assert_eq!(
serde_json::to_string(&error).unwrap(),
"{\"pos\":42,\"message\":\"test error message\"}"
);
}
}

View File

@@ -1,5 +1,7 @@
#![allow(clippy::derive_partial_eq_without_eq)]
use serde::Serialize;
mod infallible;
mod occur;
mod query_grammar;
@@ -12,6 +14,8 @@ pub use crate::user_input_ast::{
Delimiter, UserInputAst, UserInputBound, UserInputLeaf, UserInputLiteral,
};
#[derive(Debug, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct Error;
/// Parse a query
@@ -24,3 +28,31 @@ pub fn parse_query(query: &str) -> Result<UserInputAst, Error> {
pub fn parse_query_lenient(query: &str) -> (UserInputAst, Vec<LenientError>) {
parse_to_ast_lenient(query)
}
#[cfg(test)]
mod tests {
use crate::{parse_query, parse_query_lenient};
#[test]
fn test_parse_query_serialization() {
let ast = parse_query("title:hello OR title:x").unwrap();
let json = serde_json::to_string(&ast).unwrap();
assert_eq!(
json,
r#"{"type":"bool","clauses":[["should",{"type":"literal","field_name":"title","phrase":"hello","delimiter":"none","slop":0,"prefix":false}],["should",{"type":"literal","field_name":"title","phrase":"x","delimiter":"none","slop":0,"prefix":false}]]}"#
);
}
#[test]
fn test_parse_query_wrong_query() {
assert!(parse_query("title:").is_err());
}
#[test]
fn test_parse_query_lenient_wrong_query() {
let (_, errors) = parse_query_lenient("title:");
assert!(errors.len() == 1);
let json = serde_json::to_string(&errors).unwrap();
assert_eq!(json, r#"[{"pos":6,"message":"expected word"}]"#);
}
}

View File

@@ -1,17 +1,20 @@
use std::fmt;
use std::fmt::Write;
use serde::Serialize;
/// Defines whether a term in a query must be present,
/// should be present or must not be present.
#[derive(Debug, Clone, Hash, Copy, Eq, PartialEq)]
#[derive(Debug, Clone, Hash, Copy, Eq, PartialEq, Serialize)]
#[serde(rename_all = "snake_case")]
pub enum Occur {
/// For a given document to be considered for scoring,
/// at least one of the terms with the Should or the Must
/// at least one of the queries with the Should or the Must
/// Occur constraint must be within the document.
Should,
/// Document without the term are excluded from the search.
/// Document without the queries are excluded from the search.
Must,
/// Document that contain the term are excluded from the
/// Document that contain the query are excluded from the
/// search.
MustNot,
}

View File

@@ -321,7 +321,17 @@ fn exists(inp: &str) -> IResult<&str, UserInputLeaf> {
UserInputLeaf::Exists {
field: String::new(),
},
tuple((multispace0, char('*'))),
tuple((
multispace0,
char('*'),
peek(alt((
value(
"",
satisfy(|c: char| c.is_whitespace() || ESCAPE_IN_WORD.contains(&c)),
),
eof,
))),
)),
)(inp)
}
@@ -331,7 +341,14 @@ fn exists_precond(inp: &str) -> IResult<&str, (), ()> {
peek(tuple((
field_name,
multispace0,
char('*'), // when we are here, we know it can't be anything but a exists
char('*'),
peek(alt((
value(
"",
satisfy(|c: char| c.is_whitespace() || ESCAPE_IN_WORD.contains(&c)),
),
eof,
))), // we need to check this isn't a wildcard query
))),
)(inp)
.map_err(|e| e.map(|_| ()))
@@ -767,7 +784,7 @@ fn occur_leaf(inp: &str) -> IResult<&str, (Option<Occur>, UserInputAst)> {
tuple((fallible(occur_symbol), boosted_leaf))(inp)
}
#[allow(clippy::type_complexity)]
#[expect(clippy::type_complexity)]
fn operand_occur_leaf_infallible(
inp: &str,
) -> JResult<&str, (Option<BinaryOperand>, Option<Occur>, Option<UserInputAst>)> {
@@ -833,7 +850,7 @@ fn aggregate_infallible_expressions(
if early_operand {
err.push(LenientErrorInternal {
pos: 0,
message: "Found unexpeted boolean operator before term".to_string(),
message: "Found unexpected boolean operator before term".to_string(),
});
}
@@ -856,7 +873,7 @@ fn aggregate_infallible_expressions(
_ => Some(Occur::Should),
};
if occur == &Some(Occur::MustNot) && default_op == Some(Occur::Should) {
// if occur is MustNot *and* operation is OR, we synthetize a ShouldNot
// if occur is MustNot *and* operation is OR, we synthesize a ShouldNot
clauses.push(vec![(
Some(Occur::Should),
ast.clone().unary(Occur::MustNot),
@@ -872,7 +889,7 @@ fn aggregate_infallible_expressions(
None => None,
};
if occur == &Some(Occur::MustNot) && default_op == Some(Occur::Should) {
// if occur is MustNot *and* operation is OR, we synthetize a ShouldNot
// if occur is MustNot *and* operation is OR, we synthesize a ShouldNot
clauses.push(vec![(
Some(Occur::Should),
ast.clone().unary(Occur::MustNot),
@@ -897,7 +914,7 @@ fn aggregate_infallible_expressions(
}
Some(BinaryOperand::Or) => {
if last_occur == Some(Occur::MustNot) {
// if occur is MustNot *and* operation is OR, we synthetize a ShouldNot
// if occur is MustNot *and* operation is OR, we synthesize 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)]);
@@ -1057,7 +1074,7 @@ mod test {
valid_parse("1", 1.0, "");
valid_parse("0.234234 aaa", 0.234234f64, " aaa");
error_parse(".3332");
// TODO trinity-1686a: I disagree that it should fail, I think it should succeeed,
// TODO trinity-1686a: I disagree that it should fail, I think it should succeed,
// consuming only "1", and leave "." for the next thing (which will likely fail then)
// error_parse("1.");
error_parse("-1.");
@@ -1467,7 +1484,7 @@ mod test {
}
#[test]
fn test_parse_query_to_triming_spaces() {
fn test_parse_query_to_trimming_spaces() {
test_parse_query_to_ast_helper(" abc", "abc");
test_parse_query_to_ast_helper("abc ", "abc");
test_parse_query_to_ast_helper("( a OR abc)", "(?a ?abc)");
@@ -1497,6 +1514,11 @@ mod test {
test_is_parse_err(r#"field:(+a -"b c""#, r#"(+"field":a -"field":"b c")"#);
}
#[test]
fn field_re_specification() {
test_parse_query_to_ast_helper(r#"field:(abc AND b:cde)"#, r#"(+"field":abc +"b":cde)"#);
}
#[test]
fn test_parse_query_single_term() {
test_parse_query_to_ast_helper("abc", "abc");
@@ -1619,13 +1641,19 @@ mod test {
#[test]
fn test_exist_query() {
test_parse_query_to_ast_helper("a:*", "\"a\":*");
test_parse_query_to_ast_helper("a: *", "\"a\":*");
// an exist followed by default term being b
test_is_parse_err("a:*b", "(*\"a\":* *b)");
test_parse_query_to_ast_helper("a:*", "$exists(\"a\")");
test_parse_query_to_ast_helper("a: *", "$exists(\"a\")");
// this is a term query (not a phrase prefix)
test_parse_query_to_ast_helper(
"(hello AND toto:*) OR happy",
"(?(+hello +$exists(\"toto\")) ?happy)",
);
test_parse_query_to_ast_helper("(a:*)", "$exists(\"a\")");
// these are term/wildcard query (not a phrase prefix)
test_parse_query_to_ast_helper("a:b*", "\"a\":b*");
test_parse_query_to_ast_helper("a:*b", "\"a\":*b");
test_parse_query_to_ast_helper(r#"a:*def*"#, "\"a\":*def*");
}
#[test]

View File

@@ -1,9 +1,13 @@
use std::fmt;
use std::fmt::{Debug, Formatter};
use serde::Serialize;
use crate::Occur;
#[derive(PartialEq, Clone)]
#[derive(PartialEq, Clone, Serialize)]
#[serde(tag = "type")]
#[serde(rename_all = "snake_case")]
pub enum UserInputLeaf {
Literal(UserInputLiteral),
All,
@@ -101,20 +105,22 @@ impl Debug for UserInputLeaf {
}
UserInputLeaf::All => write!(formatter, "*"),
UserInputLeaf::Exists { field } => {
write!(formatter, "\"{field}\":*")
write!(formatter, "$exists(\"{field}\")")
}
}
}
}
#[derive(Copy, Clone, Eq, PartialEq, Debug)]
#[derive(Copy, Clone, Eq, PartialEq, Debug, Serialize)]
#[serde(rename_all = "snake_case")]
pub enum Delimiter {
SingleQuotes,
DoubleQuotes,
None,
}
#[derive(PartialEq, Clone)]
#[derive(PartialEq, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct UserInputLiteral {
pub field_name: Option<String>,
pub phrase: String,
@@ -152,7 +158,9 @@ impl fmt::Debug for UserInputLiteral {
}
}
#[derive(PartialEq, Debug, Clone)]
#[derive(PartialEq, Debug, Clone, Serialize)]
#[serde(tag = "type", content = "value")]
#[serde(rename_all = "snake_case")]
pub enum UserInputBound {
Inclusive(String),
Exclusive(String),
@@ -187,11 +195,38 @@ impl UserInputBound {
}
}
#[derive(PartialEq, Clone)]
#[derive(PartialEq, Clone, Serialize)]
#[serde(into = "UserInputAstSerde")]
pub enum UserInputAst {
Clause(Vec<(Option<Occur>, UserInputAst)>),
Leaf(Box<UserInputLeaf>),
Boost(Box<UserInputAst>, f64),
Leaf(Box<UserInputLeaf>),
}
#[derive(Serialize)]
#[serde(tag = "type", rename_all = "snake_case")]
enum UserInputAstSerde {
Bool {
clauses: Vec<(Option<Occur>, UserInputAst)>,
},
Boost {
underlying: Box<UserInputAst>,
boost: f64,
},
#[serde(untagged)]
Leaf(Box<UserInputLeaf>),
}
impl From<UserInputAst> for UserInputAstSerde {
fn from(ast: UserInputAst) -> Self {
match ast {
UserInputAst::Clause(clause) => UserInputAstSerde::Bool { clauses: clause },
UserInputAst::Boost(underlying, boost) => {
UserInputAstSerde::Boost { underlying, boost }
}
UserInputAst::Leaf(leaf) => UserInputAstSerde::Leaf(leaf),
}
}
}
impl UserInputAst {
@@ -267,7 +302,7 @@ impl fmt::Debug for UserInputAst {
match *self {
UserInputAst::Clause(ref subqueries) => {
if subqueries.is_empty() {
// TODO this will break ast reserialization, is writing "( )" enought?
// TODO this will break ast reserialization, is writing "( )" enough?
write!(formatter, "<emptyclause>")?;
} else {
write!(formatter, "(")?;
@@ -285,3 +320,126 @@ impl fmt::Debug for UserInputAst {
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_all_leaf_serialization() {
let ast = UserInputAst::Leaf(Box::new(UserInputLeaf::All));
let json = serde_json::to_string(&ast).unwrap();
assert_eq!(json, r#"{"type":"all"}"#);
}
#[test]
fn test_literal_leaf_serialization() {
let literal = UserInputLiteral {
field_name: Some("title".to_string()),
phrase: "hello".to_string(),
delimiter: Delimiter::None,
slop: 0,
prefix: false,
};
let ast = UserInputAst::Leaf(Box::new(UserInputLeaf::Literal(literal)));
let json = serde_json::to_string(&ast).unwrap();
assert_eq!(
json,
r#"{"type":"literal","field_name":"title","phrase":"hello","delimiter":"none","slop":0,"prefix":false}"#
);
}
#[test]
fn test_range_leaf_serialization() {
let range = UserInputLeaf::Range {
field: Some("price".to_string()),
lower: UserInputBound::Inclusive("10".to_string()),
upper: UserInputBound::Exclusive("100".to_string()),
};
let ast = UserInputAst::Leaf(Box::new(range));
let json = serde_json::to_string(&ast).unwrap();
assert_eq!(
json,
r#"{"type":"range","field":"price","lower":{"type":"inclusive","value":"10"},"upper":{"type":"exclusive","value":"100"}}"#
);
}
#[test]
fn test_range_leaf_unbounded_serialization() {
let range = UserInputLeaf::Range {
field: Some("price".to_string()),
lower: UserInputBound::Inclusive("10".to_string()),
upper: UserInputBound::Unbounded,
};
let ast = UserInputAst::Leaf(Box::new(range));
let json = serde_json::to_string(&ast).unwrap();
assert_eq!(
json,
r#"{"type":"range","field":"price","lower":{"type":"inclusive","value":"10"},"upper":{"type":"unbounded"}}"#
);
}
#[test]
fn test_boost_serialization() {
let inner_ast = UserInputAst::Leaf(Box::new(UserInputLeaf::All));
let boost_ast = UserInputAst::Boost(Box::new(inner_ast), 2.5);
let json = serde_json::to_string(&boost_ast).unwrap();
assert_eq!(
json,
r#"{"type":"boost","underlying":{"type":"all"},"boost":2.5}"#
);
}
#[test]
fn test_boost_serialization2() {
let boost_ast = UserInputAst::Boost(
Box::new(UserInputAst::Clause(vec![
(
Some(Occur::Must),
UserInputAst::Leaf(Box::new(UserInputLeaf::All)),
),
(
Some(Occur::Should),
UserInputAst::Leaf(Box::new(UserInputLeaf::Literal(UserInputLiteral {
field_name: Some("title".to_string()),
phrase: "hello".to_string(),
delimiter: Delimiter::None,
slop: 0,
prefix: false,
}))),
),
])),
2.5,
);
let json = serde_json::to_string(&boost_ast).unwrap();
assert_eq!(
json,
r#"{"type":"boost","underlying":{"type":"bool","clauses":[["must",{"type":"all"}],["should",{"type":"literal","field_name":"title","phrase":"hello","delimiter":"none","slop":0,"prefix":false}]]},"boost":2.5}"#
);
}
#[test]
fn test_clause_serialization() {
let clause = UserInputAst::Clause(vec![
(
Some(Occur::Must),
UserInputAst::Leaf(Box::new(UserInputLeaf::All)),
),
(
Some(Occur::Should),
UserInputAst::Leaf(Box::new(UserInputLeaf::Literal(UserInputLiteral {
field_name: Some("title".to_string()),
phrase: "hello".to_string(),
delimiter: Delimiter::None,
slop: 0,
prefix: false,
}))),
),
]);
let json = serde_json::to_string(&clause).unwrap();
assert_eq!(
json,
r#"{"type":"bool","clauses":[["must",{"type":"all"}],["should",{"type":"literal","field_name":"title","phrase":"hello","delimiter":"none","slop":0,"prefix":false}]]}"#
);
}
}

View File

@@ -21,7 +21,10 @@ impl<K, V, S> MemoryConsumption for HashMap<K, V, S> {
/// Aggregation memory limit after which the request fails. Defaults to DEFAULT_MEMORY_LIMIT
/// (500MB). The limit is shared by all SegmentCollectors
pub struct AggregationLimits {
///
/// The memory limit is also a guard, which tracks how much it allocated and releases it's memory
/// on the shared counter. Cloning will create a new guard.
pub struct AggregationLimitsGuard {
/// The counter which is shared between the aggregations for one request.
memory_consumption: Arc<AtomicU64>,
/// The memory_limit in bytes
@@ -29,28 +32,41 @@ pub struct AggregationLimits {
/// The maximum number of buckets _returned_
/// This is not counting intermediate buckets.
bucket_limit: u32,
/// Allocated memory with this guard.
allocated_with_the_guard: u64,
}
impl Clone for AggregationLimits {
impl Clone for AggregationLimitsGuard {
fn clone(&self) -> Self {
Self {
memory_consumption: Arc::clone(&self.memory_consumption),
memory_limit: self.memory_limit,
bucket_limit: self.bucket_limit,
allocated_with_the_guard: 0,
}
}
}
impl Default for AggregationLimits {
impl Drop for AggregationLimitsGuard {
/// Removes the memory consumed tracked by this _instance_ of AggregationLimits.
/// This is used to clear the segment specific memory consumption all at once.
fn drop(&mut self) {
self.memory_consumption
.fetch_sub(self.allocated_with_the_guard, Ordering::Relaxed);
}
}
impl Default for AggregationLimitsGuard {
fn default() -> Self {
Self {
memory_consumption: Default::default(),
memory_limit: DEFAULT_MEMORY_LIMIT.into(),
bucket_limit: DEFAULT_BUCKET_LIMIT,
allocated_with_the_guard: 0,
}
}
}
impl AggregationLimits {
impl AggregationLimitsGuard {
/// *memory_limit*
/// memory_limit is defined in bytes.
/// Aggregation fails when the estimated memory consumption of the aggregation is higher than
@@ -67,24 +83,15 @@ impl AggregationLimits {
memory_consumption: Default::default(),
memory_limit: memory_limit.unwrap_or(DEFAULT_MEMORY_LIMIT).into(),
bucket_limit: bucket_limit.unwrap_or(DEFAULT_BUCKET_LIMIT),
}
}
/// Create a new ResourceLimitGuard, that will release the memory when dropped.
pub fn new_guard(&self) -> ResourceLimitGuard {
ResourceLimitGuard {
// The counter which is shared between the aggregations for one request.
memory_consumption: Arc::clone(&self.memory_consumption),
// The memory_limit in bytes
memory_limit: self.memory_limit,
allocated_with_the_guard: 0,
}
}
pub(crate) fn add_memory_consumed(&self, add_num_bytes: u64) -> crate::Result<()> {
pub(crate) fn add_memory_consumed(&mut self, add_num_bytes: u64) -> crate::Result<()> {
let prev_value = self
.memory_consumption
.fetch_add(add_num_bytes, Ordering::Relaxed);
self.allocated_with_the_guard += add_num_bytes;
validate_memory_consumption(prev_value + add_num_bytes, self.memory_limit)?;
Ok(())
}
@@ -109,34 +116,6 @@ fn validate_memory_consumption(
Ok(())
}
pub struct ResourceLimitGuard {
/// The counter which is shared between the aggregations for one request.
memory_consumption: Arc<AtomicU64>,
/// The memory_limit in bytes
memory_limit: ByteCount,
/// Allocated memory with this guard.
allocated_with_the_guard: u64,
}
impl ResourceLimitGuard {
pub(crate) fn add_memory_consumed(&self, add_num_bytes: u64) -> crate::Result<()> {
let prev_value = self
.memory_consumption
.fetch_add(add_num_bytes, Ordering::Relaxed);
validate_memory_consumption(prev_value + add_num_bytes, self.memory_limit)?;
Ok(())
}
}
impl Drop for ResourceLimitGuard {
/// Removes the memory consumed tracked by this _instance_ of AggregationLimits.
/// This is used to clear the segment specific memory consumption all at once.
fn drop(&mut self) {
self.memory_consumption
.fetch_sub(self.allocated_with_the_guard, Ordering::Relaxed);
}
}
#[cfg(test)]
mod tests {
use crate::aggregation::tests::exec_request_with_query;

View File

@@ -5,7 +5,6 @@ use std::io;
use columnar::{Column, ColumnBlockAccessor, ColumnType, DynamicColumn, StrColumn};
use super::agg_limits::ResourceLimitGuard;
use super::agg_req::{Aggregation, AggregationVariants, Aggregations};
use super::bucket::{
DateHistogramAggregationReq, HistogramAggregation, RangeAggregation, TermsAggregation,
@@ -14,7 +13,7 @@ use super::metric::{
AverageAggregation, CardinalityAggregationReq, CountAggregation, ExtendedStatsAggregation,
MaxAggregation, MinAggregation, StatsAggregation, SumAggregation,
};
use super::segment_agg_result::AggregationLimits;
use super::segment_agg_result::AggregationLimitsGuard;
use super::VecWithNames;
use crate::aggregation::{f64_to_fastfield_u64, Key};
use crate::index::SegmentReader;
@@ -46,7 +45,7 @@ pub struct AggregationWithAccessor {
pub(crate) str_dict_column: Option<StrColumn>,
pub(crate) field_type: ColumnType,
pub(crate) sub_aggregation: AggregationsWithAccessor,
pub(crate) limits: ResourceLimitGuard,
pub(crate) limits: AggregationLimitsGuard,
pub(crate) column_block_accessor: ColumnBlockAccessor<u64>,
/// Used for missing term aggregation, which checks all columns for existence.
/// And also for `top_hits` aggregation, which may sort on multiple fields.
@@ -69,7 +68,7 @@ impl AggregationWithAccessor {
sub_aggregation: &Aggregations,
reader: &SegmentReader,
segment_ordinal: SegmentOrdinal,
limits: AggregationLimits,
limits: AggregationLimitsGuard,
) -> crate::Result<Vec<AggregationWithAccessor>> {
let mut agg = agg.clone();
@@ -91,7 +90,7 @@ impl AggregationWithAccessor {
&limits,
)?,
agg: agg.clone(),
limits: limits.new_guard(),
limits: limits.clone(),
missing_value_for_accessor: None,
str_dict_column: None,
column_block_accessor: Default::default(),
@@ -106,6 +105,7 @@ impl AggregationWithAccessor {
value_accessors: HashMap<String, Vec<DynamicColumn>>|
-> crate::Result<()> {
let (accessor, field_type) = accessors.first().expect("at least one accessor");
let limits = limits.clone();
let res = AggregationWithAccessor {
segment_ordinal,
// TODO: We should do away with the `accessor` field altogether
@@ -120,7 +120,7 @@ impl AggregationWithAccessor {
&limits,
)?,
agg: agg.clone(),
limits: limits.new_guard(),
limits,
missing_value_for_accessor: None,
str_dict_column: None,
column_block_accessor: Default::default(),
@@ -186,6 +186,8 @@ impl AggregationWithAccessor {
.map(|missing| match missing {
Key::Str(_) => ColumnType::Str,
Key::F64(_) => ColumnType::F64,
Key::I64(_) => ColumnType::I64,
Key::U64(_) => ColumnType::U64,
})
.unwrap_or(ColumnType::U64);
let column_and_types = get_all_ff_reader_or_empty(
@@ -232,14 +234,18 @@ impl AggregationWithAccessor {
missing.clone()
};
let missing_value_for_accessor = if let Some(missing) =
missing_value_term_agg.as_ref()
{
get_missing_val(column_type, missing, agg.agg.get_fast_field_names()[0])?
} else {
None
};
let missing_value_for_accessor =
if let Some(missing) = missing_value_term_agg.as_ref() {
get_missing_val_as_u64_lenient(
column_type,
missing,
agg.agg.get_fast_field_names()[0],
)?
} else {
None
};
let limits = limits.clone();
let agg = AggregationWithAccessor {
segment_ordinal,
missing_value_for_accessor,
@@ -255,7 +261,7 @@ impl AggregationWithAccessor {
)?,
agg: agg.clone(),
str_dict_column: str_dict_column.clone(),
limits: limits.new_guard(),
limits,
column_block_accessor: Default::default(),
};
res.push(agg);
@@ -265,10 +271,6 @@ impl AggregationWithAccessor {
field: ref field_name,
..
})
| Count(CountAggregation {
field: ref field_name,
..
})
| Max(MaxAggregation {
field: ref field_name,
..
@@ -293,6 +295,24 @@ impl AggregationWithAccessor {
get_ff_reader(reader, field_name, Some(get_numeric_or_date_column_types()))?;
add_agg_with_accessor(&agg, accessor, column_type, &mut res)?;
}
Count(CountAggregation {
field: ref field_name,
..
}) => {
let allowed_column_types = [
ColumnType::I64,
ColumnType::U64,
ColumnType::F64,
ColumnType::Str,
ColumnType::DateTime,
ColumnType::Bool,
ColumnType::IpAddr,
// ColumnType::Bytes Unsupported
];
let (accessor, column_type) =
get_ff_reader(reader, field_name, Some(&allowed_column_types))?;
add_agg_with_accessor(&agg, accessor, column_type, &mut res)?;
}
Percentiles(ref percentiles) => {
let (accessor, column_type) = get_ff_reader(
reader,
@@ -330,7 +350,14 @@ impl AggregationWithAccessor {
}
}
fn get_missing_val(
/// Get the missing value as internal u64 representation
///
/// For terms we use u64::MAX as sentinel value
/// For numerical data we convert the value into the representation
/// we would get from the fast field, when we open it as u64_lenient_for_type.
///
/// That way we can use it the same way as if it would come from the fastfield.
fn get_missing_val_as_u64_lenient(
column_type: ColumnType,
missing: &Key,
field_name: &str,
@@ -339,9 +366,18 @@ fn get_missing_val(
Key::Str(_) if column_type == ColumnType::Str => Some(u64::MAX),
// Allow fallback to number on text fields
Key::F64(_) if column_type == ColumnType::Str => Some(u64::MAX),
Key::U64(_) if column_type == ColumnType::Str => Some(u64::MAX),
Key::I64(_) if column_type == ColumnType::Str => Some(u64::MAX),
Key::F64(val) if column_type.numerical_type().is_some() => {
f64_to_fastfield_u64(*val, &column_type)
}
// NOTE: We may loose precision of the passed missing value by casting i64 and u64 to f64.
Key::I64(val) if column_type.numerical_type().is_some() => {
f64_to_fastfield_u64(*val as f64, &column_type)
}
Key::U64(val) if column_type.numerical_type().is_some() => {
f64_to_fastfield_u64(*val as f64, &column_type)
}
_ => {
return Err(crate::TantivyError::InvalidArgument(format!(
"Missing value {missing:?} for field {field_name} is not supported for column \
@@ -365,7 +401,7 @@ pub(crate) fn get_aggs_with_segment_accessor_and_validate(
aggs: &Aggregations,
reader: &SegmentReader,
segment_ordinal: SegmentOrdinal,
limits: &AggregationLimits,
limits: &AggregationLimitsGuard,
) -> crate::Result<AggregationsWithAccessor> {
let mut aggss = Vec::new();
for (key, agg) in aggs.iter() {

View File

@@ -1,4 +1,5 @@
//! Contains the final aggregation tree.
//!
//! This tree can be converted via the `into()` method from `IntermediateAggregationResults`.
//! This conversion computes the final result. For example: The intermediate result contains
//! intermediate average results, which is the sum and the number of values. The actual average is
@@ -187,7 +188,7 @@ pub enum BucketEntries<T> {
}
impl<T> BucketEntries<T> {
fn iter<'a>(&'a self) -> Box<dyn Iterator<Item = &T> + 'a> {
fn iter<'a>(&'a self) -> Box<dyn Iterator<Item = &'a T> + 'a> {
match self {
BucketEntries::Vec(vec) => Box::new(vec.iter()),
BucketEntries::HashMap(map) => Box::new(map.values()),

View File

@@ -5,7 +5,7 @@ use crate::aggregation::agg_result::AggregationResults;
use crate::aggregation::buf_collector::DOC_BLOCK_SIZE;
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::AggregationLimitsGuard;
use crate::aggregation::tests::{get_test_index_2_segments, get_test_index_from_values_and_terms};
use crate::aggregation::DistributedAggregationCollector;
use crate::query::{AllQuery, TermQuery};
@@ -130,7 +130,7 @@ fn test_aggregation_flushing(
let agg_res: AggregationResults = if use_distributed_collector {
let collector = DistributedAggregationCollector::from_aggs(
agg_req.clone(),
AggregationLimits::default(),
AggregationLimitsGuard::default(),
);
let searcher = reader.searcher();
@@ -146,7 +146,7 @@ fn test_aggregation_flushing(
.expect("Post deserialization failed");
intermediate_agg_result
.into_final_result(agg_req, &Default::default())
.into_final_result(agg_req, Default::default())
.unwrap()
} else {
let collector = get_collector(agg_req);
@@ -460,7 +460,7 @@ fn test_aggregation_level2(
let searcher = reader.searcher();
let res = searcher.search(&term_query, &collector).unwrap();
res.into_final_result(agg_req.clone(), &Default::default())
res.into_final_result(agg_req.clone(), Default::default())
.unwrap()
} else {
let collector = get_collector(agg_req.clone());
@@ -870,7 +870,7 @@ fn test_aggregation_on_json_object_mixed_types() {
.add_document(doc!(json => json!({"mixed_type": "blue", "mixed_price": 5.0})))
.unwrap();
index_writer.commit().unwrap();
// => Segment with all boolen
// => Segment with all boolean
index_writer
.add_document(doc!(json => json!({"mixed_type": true, "mixed_price": "no_price"})))
.unwrap();
@@ -939,11 +939,11 @@ fn test_aggregation_on_json_object_mixed_types() {
},
"termagg": {
"buckets": [
{ "doc_count": 1, "key": 10.0, "min_price": { "value": 10.0 } },
{ "doc_count": 1, "key": 10, "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": 2, "key": 1.0, "key_as_string": "true", "min_price": { "value": null } },
{ "doc_count": 2, "key": 1, "key_as_string": "true", "min_price": { "value": null } },
],
"sum_other_doc_count": 0
}
@@ -951,3 +951,60 @@ fn test_aggregation_on_json_object_mixed_types() {
)
);
}
#[test]
fn test_aggregation_on_json_object_mixed_numerical_segments() {
let mut schema_builder = Schema::builder();
let json = schema_builder.add_json_field("json", FAST);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
let mut index_writer: IndexWriter = index.writer_for_tests().unwrap();
// => Segment with all values f64 numeric
index_writer
.add_document(doc!(json => json!({"mixed_price": 10.5})))
.unwrap();
// Gets converted to f64!
index_writer
.add_document(doc!(json => json!({"mixed_price": 10})))
.unwrap();
index_writer.commit().unwrap();
// => Segment with all values i64 numeric
index_writer
.add_document(doc!(json => json!({"mixed_price": 10})))
.unwrap();
index_writer.commit().unwrap();
index_writer.commit().unwrap();
// All bucket types
let agg_req_str = r#"
{
"termagg": {
"terms": {
"field": "json.mixed_price"
}
}
} "#;
let agg: Aggregations = serde_json::from_str(agg_req_str).unwrap();
let aggregation_collector = get_collector(agg);
let reader = index.reader().unwrap();
let searcher = reader.searcher();
let aggregation_results = searcher.search(&AllQuery, &aggregation_collector).unwrap();
let aggregation_res_json = serde_json::to_value(aggregation_results).unwrap();
use pretty_assertions::assert_eq;
assert_eq!(
&aggregation_res_json,
&serde_json::json!({
"termagg": {
"buckets": [
{ "doc_count": 2, "key": 10},
{ "doc_count": 1, "key": 10.5},
],
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0
}
}
)
);
}

View File

@@ -34,10 +34,10 @@ use crate::aggregation::*;
pub struct DateHistogramAggregationReq {
#[doc(hidden)]
/// Only for validation
interval: Option<String>,
pub interval: Option<String>,
#[doc(hidden)]
/// Only for validation
calendar_interval: Option<String>,
pub calendar_interval: Option<String>,
/// The field to aggregate on.
pub field: String,
/// The format to format dates. Unsupported currently.
@@ -244,7 +244,7 @@ fn parse_into_milliseconds(input: &str) -> Result<i64, AggregationError> {
}
#[cfg(test)]
pub mod tests {
pub(crate) mod tests {
use pretty_assertions::assert_eq;
use super::*;

View File

@@ -438,7 +438,7 @@ fn intermediate_buckets_to_final_buckets_fill_gaps(
buckets: Vec<IntermediateHistogramBucketEntry>,
histogram_req: &HistogramAggregation,
sub_aggregation: &Aggregations,
limits: &AggregationLimits,
limits: &mut AggregationLimitsGuard,
) -> crate::Result<Vec<BucketEntry>> {
// Generate the full list of buckets without gaps.
//
@@ -496,7 +496,7 @@ pub(crate) fn intermediate_histogram_buckets_to_final_buckets(
is_date_agg: bool,
histogram_req: &HistogramAggregation,
sub_aggregation: &Aggregations,
limits: &AggregationLimits,
limits: &mut AggregationLimitsGuard,
) -> crate::Result<Vec<BucketEntry>> {
// Normalization is column type dependent.
// The request used in the the call to final is not yet be normalized.
@@ -750,7 +750,7 @@ mod tests {
agg_req,
&index,
None,
AggregationLimits::new(Some(5_000), None),
AggregationLimitsGuard::new(Some(5_000), None),
)
.unwrap_err();
assert!(res.to_string().starts_with(

View File

@@ -112,18 +112,64 @@ impl Serialize for CustomOrder {
impl<'de> Deserialize<'de> for CustomOrder {
fn deserialize<D>(deserializer: D) -> Result<CustomOrder, D::Error>
where D: Deserializer<'de> {
HashMap::<String, Order>::deserialize(deserializer).and_then(|map| {
if let Some((key, value)) = map.into_iter().next() {
let value = serde_json::Value::deserialize(deserializer)?;
let return_err = |message, val: serde_json::Value| {
de::Error::custom(format!(
"{}, but got {}",
message,
serde_json::to_string(&val).unwrap()
))
};
match value {
serde_json::Value::Object(map) => {
if map.len() != 1 {
return Err(return_err(
"expected exactly one key-value pair in the order map",
map.into(),
));
}
let (key, value) = map.into_iter().next().unwrap();
let order = serde_json::from_value(value).map_err(de::Error::custom)?;
Ok(CustomOrder {
target: key.as_str().into(),
order: value,
order,
})
} else {
Err(de::Error::custom(
"unexpected empty map in order".to_string(),
))
}
})
serde_json::Value::Array(arr) => {
if arr.is_empty() {
return Err(return_err("unexpected empty array in order", arr.into()));
}
if arr.len() != 1 {
return Err(return_err(
"only one sort order supported currently",
arr.into(),
));
}
let entry = arr.into_iter().next().unwrap();
let map = entry
.as_object()
.ok_or_else(|| return_err("expected object as sort order", entry.clone()))?;
let (key, value) = map.into_iter().next().ok_or_else(|| {
return_err(
"expected exactly one key-value pair in the order map",
entry.clone(),
)
})?;
let order = serde_json::from_value(value.clone()).map_err(de::Error::custom)?;
Ok(CustomOrder {
target: key.as_str().into(),
order,
})
}
_ => Err(return_err(
"unexpected type, expected an object or array",
value,
)),
}
}
}
@@ -138,11 +184,23 @@ fn custom_order_serde_test() {
assert_eq!(order_str, "{\"_key\":\"desc\"}");
let order_deser = serde_json::from_str(&order_str).unwrap();
assert_eq!(order, order_deser);
let order_deser: CustomOrder = serde_json::from_str("[{\"_key\":\"desc\"}]").unwrap();
assert_eq!(order, order_deser);
let order_deser: serde_json::Result<CustomOrder> = serde_json::from_str("{}");
assert!(order_deser.is_err());
let order_deser: serde_json::Result<CustomOrder> = serde_json::from_str("[]");
assert!(order_deser.is_err());
assert!(order_deser
.unwrap_err()
.to_string()
.contains("unexpected empty array in order"));
let order_deser: serde_json::Result<CustomOrder> =
serde_json::from_str(r#"[{"_key":"desc"},{"_key":"desc"}]"#);
assert_eq!(
order_deser.unwrap_err().to_string(),
r#"only one sort order supported currently, but got [{"_key":"desc"},{"_key":"desc"}]"#
);
}

View File

@@ -4,7 +4,6 @@ use std::ops::Range;
use rustc_hash::FxHashMap;
use serde::{Deserialize, Serialize};
use crate::aggregation::agg_limits::ResourceLimitGuard;
use crate::aggregation::agg_req_with_accessor::AggregationsWithAccessor;
use crate::aggregation::intermediate_agg_result::{
IntermediateAggregationResult, IntermediateAggregationResults, IntermediateBucketResult,
@@ -17,6 +16,7 @@ use crate::aggregation::*;
use crate::TantivyError;
/// Provide user-defined buckets to aggregate on.
///
/// Two special buckets will automatically be created to cover the whole range of values.
/// The provided buckets have to be continuous.
/// During the aggregation, the values extracted from the fast_field `field` will be checked
@@ -270,7 +270,7 @@ impl SegmentRangeCollector {
pub(crate) fn from_req_and_validate(
req: &RangeAggregation,
sub_aggregation: &mut AggregationsWithAccessor,
limits: &ResourceLimitGuard,
limits: &mut AggregationLimitsGuard,
field_type: ColumnType,
accessor_idx: usize,
) -> crate::Result<Self> {
@@ -471,7 +471,7 @@ mod tests {
SegmentRangeCollector::from_req_and_validate(
&req,
&mut Default::default(),
&AggregationLimits::default().new_guard(),
&mut AggregationLimitsGuard::default(),
field_type,
0,
)

View File

@@ -3,7 +3,9 @@ use std::io;
use std::net::Ipv6Addr;
use columnar::column_values::CompactSpaceU64Accessor;
use columnar::{ColumnType, Dictionary, MonotonicallyMappableToU128, MonotonicallyMappableToU64};
use columnar::{
ColumnType, Dictionary, MonotonicallyMappableToU128, MonotonicallyMappableToU64, NumericalValue,
};
use rustc_hash::FxHashMap;
use serde::{Deserialize, Serialize};
@@ -19,11 +21,11 @@ use crate::aggregation::intermediate_agg_result::{
use crate::aggregation::segment_agg_result::{
build_segment_agg_collector, SegmentAggregationCollector,
};
use crate::aggregation::{f64_from_fastfield_u64, format_date, Key};
use crate::aggregation::{format_date, Key};
use crate::error::DataCorruption;
use crate::TantivyError;
/// Creates a bucket for every unique term and counts the number of occurences.
/// Creates a bucket for every unique term and counts the number of occurrences.
/// Note that doc_count in the response buckets equals term count here.
///
/// If the text is untokenized and single value, that means one term per document and therefore it
@@ -156,7 +158,7 @@ pub struct TermsAggregation {
/// when loading the text.
/// Special Case 1:
/// If we have multiple columns on one field, we need to have a union on the indices on both
/// columns, to find docids without a value. That requires a special missing aggreggation.
/// columns, to find docids without a value. That requires a special missing aggregation.
/// Special Case 2: if the key is of type text and the column is numerical, we also need to use
/// the special missing aggregation, since there is no mechanism in the numerical column to
/// add text.
@@ -362,7 +364,7 @@ impl SegmentTermCollector {
let term_buckets = TermBuckets::default();
if let Some(custom_order) = req.order.as_ref() {
// Validate sub aggregtion exists
// Validate sub aggregation exists
if let OrderTarget::SubAggregation(sub_agg_name) = &custom_order.target {
let (agg_name, _agg_property) = get_agg_name_and_property(sub_agg_name);
@@ -497,6 +499,12 @@ impl SegmentTermCollector {
Key::F64(val) => {
dict.insert(IntermediateKey::F64(*val), intermediate_entry);
}
Key::U64(val) => {
dict.insert(IntermediateKey::U64(*val), intermediate_entry);
}
Key::I64(val) => {
dict.insert(IntermediateKey::I64(*val), intermediate_entry);
}
}
entries.swap_remove(index);
@@ -583,8 +591,26 @@ impl SegmentTermCollector {
} else {
for (val, doc_count) in entries {
let intermediate_entry = into_intermediate_bucket_entry(val, doc_count)?;
let val = f64_from_fastfield_u64(val, &self.column_type);
dict.insert(IntermediateKey::F64(val), intermediate_entry);
if self.column_type == ColumnType::U64 {
dict.insert(IntermediateKey::U64(val), intermediate_entry);
} else if self.column_type == ColumnType::I64 {
dict.insert(IntermediateKey::I64(i64::from_u64(val)), intermediate_entry);
} else {
let val = f64::from_u64(val);
let val: NumericalValue = val.into();
match val.normalize() {
NumericalValue::U64(val) => {
dict.insert(IntermediateKey::U64(val), intermediate_entry);
}
NumericalValue::I64(val) => {
dict.insert(IntermediateKey::I64(val), intermediate_entry);
}
NumericalValue::F64(val) => {
dict.insert(IntermediateKey::F64(val), intermediate_entry);
}
}
};
}
};
@@ -643,7 +669,7 @@ mod tests {
exec_request, exec_request_with_query, exec_request_with_query_and_memory_limit,
get_test_index_from_terms, get_test_index_from_values_and_terms,
};
use crate::aggregation::AggregationLimits;
use crate::aggregation::AggregationLimitsGuard;
use crate::indexer::NoMergePolicy;
use crate::schema::{IntoIpv6Addr, Schema, FAST, STRING};
use crate::{Index, IndexWriter};
@@ -1206,8 +1232,8 @@ mod tests {
#[test]
fn terms_aggregation_min_doc_count_special_case() -> crate::Result<()> {
let terms_per_segment = vec![
vec!["terma", "terma", "termb", "termb", "termb", "termc"],
vec!["terma", "terma", "termb", "termc", "termc"],
vec!["terma", "terma", "termb", "termb", "termb"],
vec!["terma", "terma", "termb"],
];
let index = get_test_index_from_terms(false, &terms_per_segment)?;
@@ -1229,8 +1255,6 @@ mod tests {
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]["doc_count"], 0);
assert_eq!(res["my_texts"]["buckets"][2]["key"], "termc");
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"]["doc_count_error_upper_bound"], 0);
@@ -1398,7 +1422,7 @@ mod tests {
agg_req,
&index,
None,
AggregationLimits::new(Some(50_000), None),
AggregationLimitsGuard::new(Some(50_000), None),
)
.unwrap_err();
assert!(res
@@ -1659,7 +1683,7 @@ mod tests {
res["my_texts"]["buckets"][2]["key"],
serde_json::Value::Null
);
// text field with numner as missing fallback
// text field with number as missing fallback
assert_eq!(res["my_texts2"]["buckets"][0]["key"], "Hello Hello");
assert_eq!(res["my_texts2"]["buckets"][0]["doc_count"], 5);
assert_eq!(res["my_texts2"]["buckets"][1]["key"], 1337.0);
@@ -1719,6 +1743,54 @@ mod tests {
Ok(())
}
#[test]
fn terms_aggregation_u64_value() -> crate::Result<()> {
// Make sure that large u64 are not truncated
let mut schema_builder = Schema::builder();
let id_field = schema_builder.add_u64_field("id", FAST);
let index = Index::create_in_ram(schema_builder.build());
{
let mut index_writer = index.writer_with_num_threads(1, 20_000_000)?;
index_writer.set_merge_policy(Box::new(NoMergePolicy));
index_writer.add_document(doc!(
id_field => 9_223_372_036_854_775_807u64,
))?;
index_writer.add_document(doc!(
id_field => 1_769_070_189_829_214_202u64,
))?;
index_writer.add_document(doc!(
id_field => 1_769_070_189_829_214_202u64,
))?;
index_writer.commit()?;
}
let agg_req: Aggregations = serde_json::from_value(json!({
"my_ids": {
"terms": {
"field": "id"
},
}
}))
.unwrap();
let res = exec_request_with_query(agg_req, &index, None)?;
// id field
assert_eq!(
res["my_ids"]["buckets"][0]["key"],
1_769_070_189_829_214_202u64
);
assert_eq!(res["my_ids"]["buckets"][0]["doc_count"], 2);
assert_eq!(
res["my_ids"]["buckets"][1]["key"],
9_223_372_036_854_775_807u64
);
assert_eq!(res["my_ids"]["buckets"][1]["doc_count"], 1);
assert_eq!(res["my_ids"]["buckets"][2]["key"], serde_json::Value::Null);
Ok(())
}
#[test]
fn terms_aggregation_missing1() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
@@ -1785,7 +1857,7 @@ mod tests {
res["my_texts"]["buckets"][2]["key"],
serde_json::Value::Null
);
// text field with numner as missing fallback
// text field with number as missing fallback
assert_eq!(res["my_texts2"]["buckets"][0]["key"], "Hello Hello");
assert_eq!(res["my_texts2"]["buckets"][0]["doc_count"], 4);
assert_eq!(res["my_texts2"]["buckets"][1]["key"], 1337.0);

View File

@@ -70,7 +70,6 @@ impl SegmentAggregationCollector for TermMissingAgg {
)?;
missing_entry.sub_aggregation = res;
}
entries.insert(missing.into(), missing_entry);
let bucket = IntermediateBucketResult::Terms {

View File

@@ -4,7 +4,7 @@ use super::agg_result::AggregationResults;
use super::buf_collector::BufAggregationCollector;
use super::intermediate_agg_result::IntermediateAggregationResults;
use super::segment_agg_result::{
build_segment_agg_collector, AggregationLimits, SegmentAggregationCollector,
build_segment_agg_collector, AggregationLimitsGuard, SegmentAggregationCollector,
};
use crate::aggregation::agg_req_with_accessor::get_aggs_with_segment_accessor_and_validate;
use crate::collector::{Collector, SegmentCollector};
@@ -22,7 +22,7 @@ pub const DEFAULT_MEMORY_LIMIT: u64 = 500_000_000;
/// The collector collects all aggregations by the underlying aggregation request.
pub struct AggregationCollector {
agg: Aggregations,
limits: AggregationLimits,
limits: AggregationLimitsGuard,
}
impl AggregationCollector {
@@ -30,7 +30,7 @@ impl AggregationCollector {
///
/// Aggregation fails when the limits in `AggregationLimits` is exceeded. (memory limit and
/// bucket limit)
pub fn from_aggs(agg: Aggregations, limits: AggregationLimits) -> Self {
pub fn from_aggs(agg: Aggregations, limits: AggregationLimitsGuard) -> Self {
Self { agg, limits }
}
}
@@ -45,7 +45,7 @@ impl AggregationCollector {
/// into the final `AggregationResults` via the `into_final_result()` method.
pub struct DistributedAggregationCollector {
agg: Aggregations,
limits: AggregationLimits,
limits: AggregationLimitsGuard,
}
impl DistributedAggregationCollector {
@@ -53,7 +53,7 @@ impl DistributedAggregationCollector {
///
/// Aggregation fails when the limits in `AggregationLimits` is exceeded. (memory limit and
/// bucket limit)
pub fn from_aggs(agg: Aggregations, limits: AggregationLimits) -> Self {
pub fn from_aggs(agg: Aggregations, limits: AggregationLimitsGuard) -> Self {
Self { agg, limits }
}
}
@@ -115,7 +115,7 @@ impl Collector for AggregationCollector {
segment_fruits: Vec<<Self::Child as SegmentCollector>::Fruit>,
) -> crate::Result<Self::Fruit> {
let res = merge_fruits(segment_fruits)?;
res.into_final_result(self.agg.clone(), &self.limits)
res.into_final_result(self.agg.clone(), self.limits.clone())
}
}
@@ -147,7 +147,7 @@ impl AggregationSegmentCollector {
agg: &Aggregations,
reader: &SegmentReader,
segment_ordinal: SegmentOrdinal,
limits: &AggregationLimits,
limits: &AggregationLimitsGuard,
) -> crate::Result<Self> {
let mut aggs_with_accessor =
get_aggs_with_segment_accessor_and_validate(agg, reader, segment_ordinal, limits)?;

View File

@@ -22,7 +22,7 @@ use super::metric::{
IntermediateAverage, IntermediateCount, IntermediateExtendedStats, IntermediateMax,
IntermediateMin, IntermediateStats, IntermediateSum, PercentilesCollector, TopHitsTopNComputer,
};
use super::segment_agg_result::AggregationLimits;
use super::segment_agg_result::AggregationLimitsGuard;
use super::{format_date, AggregationError, Key, SerializedKey};
use crate::aggregation::agg_result::{AggregationResults, BucketEntries, BucketEntry};
use crate::aggregation::bucket::TermsAggregationInternal;
@@ -51,12 +51,18 @@ pub enum IntermediateKey {
Str(String),
/// `f64` key
F64(f64),
/// `i64` key
I64(i64),
/// `u64` key
U64(u64),
}
impl From<Key> for IntermediateKey {
fn from(value: Key) -> Self {
match value {
Key::Str(s) => Self::Str(s),
Key::F64(f) => Self::F64(f),
Key::U64(f) => Self::U64(f),
Key::I64(f) => Self::I64(f),
}
}
}
@@ -73,7 +79,9 @@ impl From<IntermediateKey> for Key {
}
}
IntermediateKey::F64(f) => Self::F64(f),
IntermediateKey::Bool(f) => Self::F64(f as u64 as f64),
IntermediateKey::Bool(f) => Self::U64(f as u64),
IntermediateKey::U64(f) => Self::U64(f),
IntermediateKey::I64(f) => Self::I64(f),
}
}
}
@@ -86,6 +94,8 @@ impl std::hash::Hash for IntermediateKey {
match self {
IntermediateKey::Str(text) => text.hash(state),
IntermediateKey::F64(val) => val.to_bits().hash(state),
IntermediateKey::U64(val) => val.hash(state),
IntermediateKey::I64(val) => val.hash(state),
IntermediateKey::Bool(val) => val.hash(state),
IntermediateKey::IpAddr(val) => val.hash(state),
}
@@ -112,9 +122,9 @@ impl IntermediateAggregationResults {
pub fn into_final_result(
self,
req: Aggregations,
limits: &AggregationLimits,
mut limits: AggregationLimitsGuard,
) -> crate::Result<AggregationResults> {
let res = self.into_final_result_internal(&req, limits)?;
let res = self.into_final_result_internal(&req, &mut limits)?;
let bucket_count = res.get_bucket_count() as u32;
if bucket_count > limits.get_bucket_limit() {
return Err(TantivyError::AggregationError(
@@ -131,7 +141,7 @@ impl IntermediateAggregationResults {
pub(crate) fn into_final_result_internal(
self,
req: &Aggregations,
limits: &AggregationLimits,
limits: &mut AggregationLimitsGuard,
) -> crate::Result<AggregationResults> {
let mut results: FxHashMap<String, AggregationResult> = FxHashMap::default();
for (key, agg_res) in self.aggs_res.into_iter() {
@@ -247,7 +257,7 @@ impl IntermediateAggregationResult {
pub(crate) fn into_final_result(
self,
req: &Aggregation,
limits: &AggregationLimits,
limits: &mut AggregationLimitsGuard,
) -> crate::Result<AggregationResult> {
let res = match self {
IntermediateAggregationResult::Bucket(bucket) => {
@@ -422,7 +432,7 @@ impl IntermediateBucketResult {
pub(crate) fn into_final_bucket_result(
self,
req: &Aggregation,
limits: &AggregationLimits,
limits: &mut AggregationLimitsGuard,
) -> crate::Result<BucketResult> {
match self {
IntermediateBucketResult::Range(range_res) => {
@@ -586,7 +596,7 @@ impl IntermediateTermBucketResult {
self,
req: &TermsAggregation,
sub_aggregation_req: &Aggregations,
limits: &AggregationLimits,
limits: &mut AggregationLimitsGuard,
) -> crate::Result<BucketResult> {
let req = TermsAggregationInternal::from_req(req);
let mut buckets: Vec<BucketEntry> = self
@@ -713,7 +723,7 @@ impl IntermediateHistogramBucketEntry {
pub(crate) fn into_final_bucket_entry(
self,
req: &Aggregations,
limits: &AggregationLimits,
limits: &mut AggregationLimitsGuard,
) -> crate::Result<BucketEntry> {
Ok(BucketEntry {
key_as_string: None,
@@ -748,7 +758,7 @@ impl IntermediateRangeBucketEntry {
req: &Aggregations,
_range_req: &RangeAggregation,
column_type: Option<ColumnType>,
limits: &AggregationLimits,
limits: &mut AggregationLimitsGuard,
) -> crate::Result<RangeBucketEntry> {
let mut range_bucket_entry = RangeBucketEntry {
key: self.key.into(),
@@ -850,7 +860,7 @@ mod tests {
}
}
fn get_intermediat_tree_with_ranges(
fn get_intermediate_tree_with_ranges(
data: &[(String, u64, String, u64)],
) -> IntermediateAggregationResults {
let mut map = HashMap::new();
@@ -886,18 +896,18 @@ mod tests {
#[test]
fn test_merge_fruits_tree_1() {
let mut tree_left = get_intermediat_tree_with_ranges(&[
let mut tree_left = get_intermediate_tree_with_ranges(&[
("red".to_string(), 50, "1900".to_string(), 25),
("blue".to_string(), 30, "1900".to_string(), 30),
]);
let tree_right = get_intermediat_tree_with_ranges(&[
let tree_right = get_intermediate_tree_with_ranges(&[
("red".to_string(), 60, "1900".to_string(), 30),
("blue".to_string(), 25, "1900".to_string(), 50),
]);
tree_left.merge_fruits(tree_right).unwrap();
let tree_expected = get_intermediat_tree_with_ranges(&[
let tree_expected = get_intermediate_tree_with_ranges(&[
("red".to_string(), 110, "1900".to_string(), 55),
("blue".to_string(), 55, "1900".to_string(), 80),
]);
@@ -907,18 +917,18 @@ mod tests {
#[test]
fn test_merge_fruits_tree_2() {
let mut tree_left = get_intermediat_tree_with_ranges(&[
let mut tree_left = get_intermediate_tree_with_ranges(&[
("red".to_string(), 50, "1900".to_string(), 25),
("blue".to_string(), 30, "1900".to_string(), 30),
]);
let tree_right = get_intermediat_tree_with_ranges(&[
let tree_right = get_intermediate_tree_with_ranges(&[
("red".to_string(), 60, "1900".to_string(), 30),
("green".to_string(), 25, "1900".to_string(), 50),
]);
tree_left.merge_fruits(tree_right).unwrap();
let tree_expected = get_intermediat_tree_with_ranges(&[
let tree_expected = get_intermediate_tree_with_ranges(&[
("red".to_string(), 110, "1900".to_string(), 55),
("blue".to_string(), 30, "1900".to_string(), 30),
("green".to_string(), 25, "1900".to_string(), 50),
@@ -929,7 +939,7 @@ mod tests {
#[test]
fn test_merge_fruits_tree_empty() {
let mut tree_left = get_intermediat_tree_with_ranges(&[
let mut tree_left = get_intermediate_tree_with_ranges(&[
("red".to_string(), 50, "1900".to_string(), 25),
("blue".to_string(), 30, "1900".to_string(), 30),
]);

View File

@@ -179,10 +179,11 @@ impl SegmentCardinalityCollector {
Ok(())
})?;
if has_missing {
// Replace missing with the actual value provided
let missing_key = self
.missing
.as_ref()
.expect("Found placeholder term_ord but `missing` is None");
.expect("Found sentinel value u64::MAX for term_ord but `missing` is not set");
match missing_key {
Key::Str(missing) => {
self.cardinality.sketch.insert_any(&missing);
@@ -191,6 +192,12 @@ impl SegmentCardinalityCollector {
let val = f64_to_u64(*val);
self.cardinality.sketch.insert_any(&val);
}
Key::U64(val) => {
self.cardinality.sketch.insert_any(&val);
}
Key::I64(val) => {
self.cardinality.sketch.insert_any(&val);
}
}
}
}

View File

@@ -163,8 +163,8 @@ impl PartialEq for PercentilesCollector {
}
}
fn format_percentil(percentil: f64) -> String {
let mut out = percentil.to_string();
fn format_percentile(percentile: f64) -> String {
let mut out = percentile.to_string();
// Slightly silly way to format trailing decimals
if !out.contains('.') {
out.push_str(".0");
@@ -197,7 +197,7 @@ impl PercentilesCollector {
let values = if req.keyed {
PercentileValues::HashMap(
iter_quantile_and_values
.map(|(val, quantil)| (format_percentil(val), quantil))
.map(|(val, quantil)| (format_percentile(val), quantil))
.collect(),
)
} else {

View File

@@ -220,9 +220,23 @@ impl SegmentStatsCollector {
.column_block_accessor
.fetch_block(docs, &agg_accessor.accessor);
}
for val in agg_accessor.column_block_accessor.iter_vals() {
let val1 = f64_from_fastfield_u64(val, &self.field_type);
self.stats.collect(val1);
if [
ColumnType::I64,
ColumnType::U64,
ColumnType::F64,
ColumnType::DateTime,
]
.contains(&self.field_type)
{
for val in agg_accessor.column_block_accessor.iter_vals() {
let val1 = f64_from_fastfield_u64(val, &self.field_type);
self.stats.collect(val1);
}
} else {
for _val in agg_accessor.column_block_accessor.iter_vals() {
// we ignore the value and simply record that we got something
self.stats.collect(0.0);
}
}
}
}
@@ -435,6 +449,11 @@ mod tests {
"field": "score",
},
},
"count_str": {
"value_count": {
"field": "text",
},
},
"range": range_agg
}))
.unwrap();
@@ -500,6 +519,13 @@ mod tests {
})
);
assert_eq!(
res["count_str"],
json!({
"value": 7.0,
})
);
Ok(())
}

View File

@@ -139,7 +139,7 @@ impl<'de> Deserialize<'de> for KeyOrder {
}
}
// Tranform a glob (`pattern*`, for example) into a regex::Regex (`^pattern.*$`)
// Transform a glob (`pattern*`, for example) into a regex::Regex (`^pattern.*$`)
fn globbed_string_to_regex(glob: &str) -> Result<Regex, crate::TantivyError> {
// Replace `*` glob with `.*` regex
let sanitized = format!("^{}$", regex::escape(glob).replace(r"\*", ".*"));

View File

@@ -148,7 +148,7 @@ mod agg_tests;
use core::fmt;
pub use agg_limits::AggregationLimits;
pub use agg_limits::AggregationLimitsGuard;
pub use collector::{
AggregationCollector, AggregationSegmentCollector, DistributedAggregationCollector,
DEFAULT_BUCKET_LIMIT,
@@ -180,7 +180,7 @@ pub(crate) fn deserialize_option_f64<'de, D>(deserializer: D) -> Result<Option<f
where D: Deserializer<'de> {
struct StringOrFloatVisitor;
impl<'de> Visitor<'de> for StringOrFloatVisitor {
impl Visitor<'_> for StringOrFloatVisitor {
type Value = Option<f64>;
fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {
@@ -226,7 +226,7 @@ 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 {
impl Visitor<'_> for StringOrFloatVisitor {
type Value = f64;
fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {
@@ -336,10 +336,16 @@ pub type SerializedKey = String;
#[derive(Clone, Debug, Serialize, Deserialize, PartialOrd)]
/// The key to identify a bucket.
///
/// The order is important, with serde untagged, that we try to deserialize into i64 first.
#[serde(untagged)]
pub enum Key {
/// String key
Str(String),
/// `i64` key
I64(i64),
/// `u64` key
U64(u64),
/// `f64` key
F64(f64),
}
@@ -350,6 +356,8 @@ impl std::hash::Hash for Key {
match self {
Key::Str(text) => text.hash(state),
Key::F64(val) => val.to_bits().hash(state),
Key::U64(val) => val.hash(state),
Key::I64(val) => val.hash(state),
}
}
}
@@ -358,8 +366,12 @@ impl PartialEq for Key {
fn eq(&self, other: &Self) -> bool {
match (self, other) {
(Self::Str(l), Self::Str(r)) => l == r,
(Self::F64(l), Self::F64(r)) => l == r,
_ => false,
(Self::F64(l), Self::F64(r)) => l.to_bits() == r.to_bits(),
(Self::I64(l), Self::I64(r)) => l == r,
(Self::U64(l), Self::U64(r)) => l == r,
// we list all variant of left operand to make sure this gets updated when we add
// variants to the enum
(Self::Str(_) | Self::F64(_) | Self::I64(_) | Self::U64(_), _) => false,
}
}
}
@@ -369,6 +381,8 @@ impl Display for Key {
match self {
Key::Str(val) => f.write_str(val),
Key::F64(val) => f.write_str(&val.to_string()),
Key::U64(val) => f.write_str(&val.to_string()),
Key::I64(val) => f.write_str(&val.to_string()),
}
}
}
@@ -448,7 +462,7 @@ mod tests {
agg_req: Aggregations,
index: &Index,
query: Option<(&str, &str)>,
limits: AggregationLimits,
limits: AggregationLimitsGuard,
) -> crate::Result<Value> {
let collector = AggregationCollector::from_aggs(agg_req, limits);
@@ -568,7 +582,7 @@ mod tests {
.set_indexing_options(
TextFieldIndexing::default().set_index_option(IndexRecordOption::WithFreqs),
)
.set_fast(None)
.set_fast(Some("raw"))
.set_stored();
let text_field = schema_builder.add_text_field("text", text_fieldtype);
let date_field = schema_builder.add_date_field("date", FAST);

View File

@@ -5,7 +5,7 @@
use std::fmt::Debug;
pub(crate) use super::agg_limits::AggregationLimits;
pub(crate) use super::agg_limits::AggregationLimitsGuard;
use super::agg_req::AggregationVariants;
use super::agg_req_with_accessor::{AggregationWithAccessor, AggregationsWithAccessor};
use super::bucket::{SegmentHistogramCollector, SegmentRangeCollector, SegmentTermCollector};
@@ -103,7 +103,7 @@ pub(crate) fn build_single_agg_segment_collector(
Range(range_req) => Ok(Box::new(SegmentRangeCollector::from_req_and_validate(
range_req,
&mut req.sub_aggregation,
&req.limits,
&mut req.limits,
req.field_type,
accessor_idx,
)?)),

View File

@@ -13,7 +13,7 @@ struct Hit<'a> {
facet: &'a Facet,
}
impl<'a> Eq for Hit<'a> {}
impl Eq for Hit<'_> {}
impl<'a> PartialEq<Hit<'a>> for Hit<'a> {
fn eq(&self, other: &Hit<'_>) -> bool {
@@ -27,7 +27,7 @@ impl<'a> PartialOrd<Hit<'a>> for Hit<'a> {
}
}
impl<'a> Ord for Hit<'a> {
impl Ord for Hit<'_> {
fn cmp(&self, other: &Self) -> Ordering {
other
.count

View File

@@ -182,6 +182,7 @@ where
}
/// A variant of the [`FilterCollector`] specialized for bytes fast fields, i.e.
///
/// it transparently wraps an inner [`Collector`] but filters documents
/// based on the result of applying the predicate to the bytes fast field.
///

View File

@@ -495,4 +495,4 @@ where
impl_downcast!(Fruit);
#[cfg(test)]
pub mod tests;
pub(crate) mod tests;

View File

@@ -161,7 +161,7 @@ impl<TFruit: Fruit> FruitHandle<TFruit> {
/// # Ok(())
/// # }
/// ```
#[allow(clippy::type_complexity)]
#[expect(clippy::type_complexity)]
#[derive(Default)]
pub struct MultiCollector<'a> {
collector_wrappers: Vec<
@@ -190,7 +190,7 @@ impl<'a> MultiCollector<'a> {
}
}
impl<'a> Collector for MultiCollector<'a> {
impl Collector for MultiCollector<'_> {
type Fruit = MultiFruit;
type Child = MultiCollectorChild;

View File

@@ -15,11 +15,6 @@ use crate::{DocAddress, DocId, SegmentOrdinal};
/// The REVERSE_ORDER generic parameter controls whether the by-feature order
/// should be reversed, which is useful for achieving for example largest-first
/// semantics without having to wrap the feature in a `Reverse`.
///
/// WARNING: equality is not what you would expect here.
/// 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
/// struct is never public.
#[derive(Clone, Default, Serialize, Deserialize)]
pub struct ComparableDoc<T, D, const REVERSE_ORDER: bool = false> {
/// The feature of the document. In practice, this is

View File

@@ -3,7 +3,6 @@ use std::marker::PhantomData;
use std::sync::Arc;
use columnar::ColumnValues;
use serde::de::DeserializeOwned;
use serde::{Deserialize, Serialize};
use super::Collector;
@@ -787,10 +786,10 @@ impl<Score, D, const R: bool> From<TopNComputerDeser<Score, D, R>> for TopNCompu
}
}
impl<Score, D, const R: bool> TopNComputer<Score, D, R>
impl<Score, D, const REVERSE_ORDER: bool> TopNComputer<Score, D, REVERSE_ORDER>
where
Score: PartialOrd + Clone,
D: Serialize + DeserializeOwned + Ord + Clone,
D: Ord,
{
/// Create a new `TopNComputer`.
/// Internally it will allocate a buffer of size `2 * top_n`.
@@ -808,7 +807,10 @@ where
#[inline]
pub fn push(&mut self, feature: Score, doc: D) {
if let Some(last_median) = self.threshold.clone() {
if feature < last_median {
if !REVERSE_ORDER && feature > last_median {
return;
}
if REVERSE_ORDER && feature < last_median {
return;
}
}
@@ -843,7 +845,7 @@ where
}
/// Returns the top n elements in sorted order.
pub fn into_sorted_vec(mut self) -> Vec<ComparableDoc<Score, D, R>> {
pub fn into_sorted_vec(mut self) -> Vec<ComparableDoc<Score, D, REVERSE_ORDER>> {
if self.buffer.len() > self.top_n {
self.truncate_top_n();
}
@@ -854,7 +856,7 @@ where
/// 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>> {
pub fn into_vec(mut self) -> Vec<ComparableDoc<Score, D, REVERSE_ORDER>> {
if self.buffer.len() > self.top_n {
self.truncate_top_n();
}
@@ -864,9 +866,11 @@ where
#[cfg(test)]
mod tests {
use proptest::prelude::*;
use super::{TopDocs, TopNComputer};
use crate::collector::top_collector::ComparableDoc;
use crate::collector::Collector;
use crate::collector::{Collector, DocSetCollector};
use crate::query::{AllQuery, Query, QueryParser};
use crate::schema::{Field, Schema, FAST, STORED, TEXT};
use crate::time::format_description::well_known::Rfc3339;
@@ -961,6 +965,44 @@ mod tests {
}
}
proptest! {
#[test]
fn test_topn_computer_asc_prop(
limit in 0..10_usize,
docs in proptest::collection::vec((0..100_u64, 0..100_u64), 0..100_usize),
) {
let mut computer: TopNComputer<_, _, false> = TopNComputer::new(limit);
for (feature, doc) in &docs {
computer.push(*feature, *doc);
}
let mut comparable_docs = docs.into_iter().map(|(feature, doc)| ComparableDoc { feature, doc }).collect::<Vec<_>>();
comparable_docs.sort();
comparable_docs.truncate(limit);
prop_assert_eq!(
computer.into_sorted_vec(),
comparable_docs,
);
}
#[test]
fn test_topn_computer_desc_prop(
limit in 0..10_usize,
docs in proptest::collection::vec((0..100_u64, 0..100_u64), 0..100_usize),
) {
let mut computer: TopNComputer<_, _, true> = TopNComputer::new(limit);
for (feature, doc) in &docs {
computer.push(*feature, *doc);
}
let mut comparable_docs = docs.into_iter().map(|(feature, doc)| ComparableDoc { feature, doc }).collect::<Vec<_>>();
comparable_docs.sort();
comparable_docs.truncate(limit);
prop_assert_eq!(
computer.into_sorted_vec(),
comparable_docs,
);
}
}
#[test]
fn test_top_collector_not_at_capacity_without_offset() -> crate::Result<()> {
let index = make_index()?;
@@ -1374,4 +1416,29 @@ mod tests {
);
Ok(())
}
#[test]
fn test_topn_computer_asc() {
let mut computer: TopNComputer<u32, u32, false> = TopNComputer::new(2);
computer.push(1u32, 1u32);
computer.push(2u32, 2u32);
computer.push(3u32, 3u32);
computer.push(2u32, 4u32);
computer.push(4u32, 5u32);
computer.push(1u32, 6u32);
assert_eq!(
computer.into_sorted_vec(),
&[
ComparableDoc {
feature: 1u32,
doc: 1u32,
},
ComparableDoc {
feature: 1u32,
doc: 6u32,
}
]
);
}
}

91
src/compat_tests.rs Normal file
View File

@@ -0,0 +1,91 @@
use std::path::PathBuf;
use schema::*;
use crate::*;
fn create_index(path: &str) {
let mut schema_builder = Schema::builder();
let label = schema_builder.add_text_field("label", TEXT | STORED);
let date = schema_builder.add_date_field("date", INDEXED | STORED);
let schema = schema_builder.build();
std::fs::create_dir_all(path).unwrap();
let index = Index::create_in_dir(path, schema).unwrap();
let mut index_writer = index.writer_with_num_threads(1, 20_000_000).unwrap();
index_writer
.add_document(doc!(label => "dateformat", date => DateTime::from_timestamp_nanos(123456)))
.unwrap();
index_writer.commit().unwrap();
}
#[test]
/// Writes an Index for the current INDEX_FORMAT_VERSION to disk.
fn create_format() {
let version = INDEX_FORMAT_VERSION.to_string();
let file_path = path_for_version(&version);
if PathBuf::from(file_path.clone()).exists() {
return;
}
create_index(&file_path);
}
fn path_for_version(version: &str) -> String {
format!("./tests/compat_tests_data/index_v{}/", version)
}
/// feature flag quickwit uses a different dictionary type
#[test]
#[cfg(not(feature = "quickwit"))]
fn test_format_6() {
let path = path_for_version("6");
let index = Index::open_in_dir(path).expect("Failed to open index");
// dates are truncated to Microseconds in v6
assert_date_time_precision(&index, DateTimePrecision::Microseconds);
}
/// feature flag quickwit uses a different dictionary type
#[test]
#[cfg(not(feature = "quickwit"))]
fn test_format_7() {
let path = path_for_version("7");
let index = Index::open_in_dir(path).expect("Failed to open index");
// dates are not truncated in v7 in the docstore
assert_date_time_precision(&index, DateTimePrecision::Nanoseconds);
}
#[cfg(not(feature = "quickwit"))]
fn assert_date_time_precision(index: &Index, doc_store_precision: DateTimePrecision) {
use collector::TopDocs;
let reader = index.reader().expect("Failed to create reader");
let searcher = reader.searcher();
let schema = index.schema();
let label_field = schema.get_field("label").expect("Field 'label' not found");
let query_parser = query::QueryParser::for_index(index, vec![label_field]);
let query = query_parser
.parse_query("dateformat")
.expect("Failed to parse query");
let top_docs = searcher
.search(&query, &TopDocs::with_limit(1))
.expect("Search failed");
assert_eq!(top_docs.len(), 1, "Expected 1 search result");
let doc_address = top_docs[0].1;
let retrieved_doc: TantivyDocument = searcher
.doc(doc_address)
.expect("Failed to retrieve document");
let date_field = schema.get_field("date").expect("Field 'date' not found");
let date_value = retrieved_doc
.get_first(date_field)
.expect("Date field not found in document")
.as_datetime()
.unwrap();
let expected = DateTime::from_timestamp_nanos(123456).truncate(doc_store_precision);
assert_eq!(date_value, expected,);
}

View File

@@ -41,16 +41,12 @@ impl Executor {
///
/// Regardless of the executor (`SingleThread` or `ThreadPool`), panics in the task
/// will propagate to the caller.
pub fn map<
pub fn map<A, R, F>(&self, f: F, args: impl Iterator<Item = A>) -> crate::Result<Vec<R>>
where
A: Send,
R: Send,
AIterator: Iterator<Item = A>,
F: Sized + Sync + Fn(A) -> crate::Result<R>,
>(
&self,
f: F,
args: AIterator,
) -> crate::Result<Vec<R>> {
{
match self {
Executor::SingleThread => args.map(f).collect::<crate::Result<_>>(),
Executor::ThreadPool(pool) => {
@@ -100,7 +96,7 @@ impl Executor {
/// Spawn a task on the pool, returning a future completing on task success.
///
/// If the task panic, returns `Err(())`.
/// If the task panics, returns `Err(())`.
#[cfg(feature = "quickwit")]
pub fn spawn_blocking<T: Send + 'static>(
&self,

View File

@@ -4,7 +4,7 @@ use rustc_hash::FxHashMap;
use crate::postings::{IndexingContext, IndexingPosition, PostingsWriter};
use crate::schema::document::{ReferenceValue, ReferenceValueLeaf, Value};
use crate::schema::Type;
use crate::schema::{Type, DATE_TIME_PRECISION_INDEXED};
use crate::time::format_description::well_known::Rfc3339;
use crate::time::{OffsetDateTime, UtcOffset};
use crate::tokenizer::TextAnalyzer;
@@ -71,7 +71,7 @@ pub fn json_path_sep_to_dot(path: &mut str) {
}
}
#[allow(clippy::too_many_arguments)]
#[expect(clippy::too_many_arguments)]
fn index_json_object<'a, V: Value<'a>>(
doc: DocId,
json_visitor: V::ObjectIter,
@@ -101,7 +101,7 @@ fn index_json_object<'a, V: Value<'a>>(
}
}
#[allow(clippy::too_many_arguments)]
#[expect(clippy::too_many_arguments)]
pub(crate) fn index_json_value<'a, V: Value<'a>>(
doc: DocId,
json_value: V,
@@ -189,6 +189,7 @@ pub(crate) fn index_json_value<'a, V: Value<'a>>(
ctx.path_to_unordered_id
.get_or_allocate_unordered_id(json_path_writer.as_str()),
);
let val = val.truncate(DATE_TIME_PRECISION_INDEXED);
term_buffer.append_type_and_fast_value(val);
postings_writer.subscribe(doc, 0u32, term_buffer, ctx);
}
@@ -239,7 +240,11 @@ pub(crate) fn index_json_value<'a, V: Value<'a>>(
/// Tries to infer a JSON type from a string and append it to the term.
///
/// The term must be json + JSON path.
pub fn convert_to_fast_value_and_append_to_json_term(mut term: Term, phrase: &str) -> Option<Term> {
pub fn convert_to_fast_value_and_append_to_json_term(
mut term: Term,
phrase: &str,
truncate_date_for_search: bool,
) -> Option<Term> {
assert_eq!(
term.value()
.as_json_value_bytes()
@@ -250,8 +255,11 @@ pub fn convert_to_fast_value_and_append_to_json_term(mut term: Term, phrase: &st
"JSON value bytes should be empty"
);
if let Ok(dt) = OffsetDateTime::parse(phrase, &Rfc3339) {
let dt_utc = dt.to_offset(UtcOffset::UTC);
term.append_type_and_fast_value(DateTime::from_utc(dt_utc));
let mut dt = DateTime::from_utc(dt.to_offset(UtcOffset::UTC));
if truncate_date_for_search {
dt = dt.truncate(DATE_TIME_PRECISION_INDEXED);
}
term.append_type_and_fast_value(dt);
return Some(term);
}
if let Ok(i64_val) = str::parse::<i64>(phrase) {

View File

@@ -39,7 +39,7 @@ impl RetryPolicy {
/// The `DirectoryLock` is an object that represents a file lock.
///
/// It is associated with a lock file, that gets deleted on `Drop.`
#[allow(dead_code)]
#[expect(dead_code)]
pub struct DirectoryLock(Box<dyn Send + Sync + 'static>);
struct DirectoryLockGuard {
@@ -102,10 +102,8 @@ fn retry_policy(is_blocking: bool) -> RetryPolicy {
///
/// There are currently two implementations of `Directory`
///
/// - The [`MMapDirectory`][crate::directory::MmapDirectory], this
/// should be your default choice.
/// - The [`RamDirectory`][crate::directory::RamDirectory], which
/// should be used mostly for tests.
/// - The [`MMapDirectory`][crate::directory::MmapDirectory], this should be your default choice.
/// - The [`RamDirectory`][crate::directory::RamDirectory], which should be used mostly for tests.
pub trait Directory: DirectoryClone + fmt::Debug + Send + Sync + 'static {
/// Opens a file and returns a boxed `FileHandle`.
///

View File

@@ -48,6 +48,7 @@ pub static INDEX_WRITER_LOCK: Lazy<Lock> = Lazy::new(|| Lock {
});
/// The meta lock file is here to protect the segment files being opened by
/// `IndexReader::reload()` from being garbage collected.
///
/// It makes it possible for another process to safely consume
/// our index in-writing. Ideally, we may have preferred `RWLock` semantics
/// here, but it is difficult to achieve on Windows.

View File

@@ -1,3 +1,9 @@
//! The footer is a small metadata structure that is appended at the end of every file.
//!
//! The footer is used to store a checksum of the file content.
//! The footer also stores the version of the index format.
//! This version is used to detect incompatibility between the index and the library version.
use std::io;
use std::io::Write;
@@ -20,20 +26,22 @@ type CrcHashU32 = u32;
/// A Footer is appended to every file
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct Footer {
/// The version of the index format
pub version: Version,
/// The crc32 hash of the body
pub crc: CrcHashU32,
}
impl Footer {
pub fn new(crc: CrcHashU32) -> Self {
pub(crate) fn new(crc: CrcHashU32) -> Self {
let version = crate::VERSION.clone();
Footer { version, crc }
}
pub fn crc(&self) -> CrcHashU32 {
pub(crate) fn crc(&self) -> CrcHashU32 {
self.crc
}
pub fn append_footer<W: io::Write>(&self, mut write: &mut W) -> io::Result<()> {
pub(crate) fn append_footer<W: io::Write>(&self, mut write: &mut W) -> io::Result<()> {
let mut counting_write = CountingWriter::wrap(&mut write);
counting_write.write_all(serde_json::to_string(&self)?.as_ref())?;
let footer_payload_len = counting_write.written_bytes();
@@ -42,6 +50,7 @@ impl Footer {
Ok(())
}
/// Extracts the tantivy Footer from the file and returns the footer and the rest of the file
pub fn extract_footer(file: FileSlice) -> io::Result<(Footer, FileSlice)> {
if file.len() < 4 {
return Err(io::Error::new(

View File

@@ -244,7 +244,7 @@ impl MmapDirectory {
directory_path,
)));
}
#[allow(clippy::bind_instead_of_map)]
#[expect(clippy::bind_instead_of_map)]
let canonical_path: PathBuf = directory_path.canonicalize().or_else(|io_err| {
let directory_path = directory_path.to_owned();

View File

@@ -6,7 +6,7 @@ mod mmap_directory;
mod directory;
mod directory_lock;
mod file_watcher;
mod footer;
pub mod footer;
mod managed_directory;
mod ram_directory;
mod watch_event_router;

View File

@@ -32,7 +32,7 @@ pub struct WatchCallbackList {
/// file change is detected.
#[must_use = "This `WatchHandle` controls the lifetime of the watch and should therefore be used."]
#[derive(Clone)]
#[allow(dead_code)]
#[expect(dead_code)]
pub struct WatchHandle(Arc<WatchCallback>);
impl WatchHandle {

View File

@@ -117,7 +117,7 @@ pub trait DocSet: Send {
}
}
impl<'a> DocSet for &'a mut dyn DocSet {
impl DocSet for &mut dyn DocSet {
fn advance(&mut self) -> u32 {
(**self).advance()
}

View File

@@ -25,10 +25,9 @@ impl FacetReader {
/// Creates a new `FacetReader`.
///
/// A facet reader just wraps :
/// - a `MultiValuedFastFieldReader` that makes it possible to
/// access the list of facet ords for a given document.
/// - a `TermDictionary` that helps associating a facet to
/// an ordinal and vice versa.
/// - a `MultiValuedFastFieldReader` that makes it possible to access the list of facet ords for
/// a given document.
/// - a `TermDictionary` that helps associating a facet to an ordinal and vice versa.
pub fn new(facet_column: StrColumn) -> FacetReader {
FacetReader { facet_column }
}

View File

@@ -942,10 +942,10 @@ mod tests {
let numbers = [100, 200, 300];
let test_range = |range: RangeInclusive<u64>| {
let expexted_count = numbers.iter().filter(|num| range.contains(num)).count();
let expected_count = numbers.iter().filter(|num| range.contains(*num)).count();
let mut vec = vec![];
field.get_row_ids_for_value_range(range, 0..u32::MAX, &mut vec);
assert_eq!(vec.len(), expexted_count);
assert_eq!(vec.len(), expected_count);
};
test_range(50..=50);
test_range(150..=150);
@@ -1020,10 +1020,10 @@ mod tests {
let numbers = [1000, 1001, 1003];
let test_range = |range: RangeInclusive<u64>| {
let expexted_count = numbers.iter().filter(|num| range.contains(num)).count();
let expected_count = numbers.iter().filter(|num| range.contains(*num)).count();
let mut vec = vec![];
field.get_row_ids_for_value_range(range, 0..u32::MAX, &mut vec);
assert_eq!(vec.len(), expexted_count);
assert_eq!(vec.len(), expected_count);
};
let test_range_variant = |start, stop| {
let start_range = start..=stop;

View File

@@ -70,13 +70,13 @@ impl FastFieldReaders {
///
/// This function transforms `attributes.color` into a column key to be used in the `columnar`.
///
/// The logic works as follows, first we identify which field is targetted by calling
/// The logic works as follows, first we identify which field is targeted by calling
/// `schema.find_field(..)`. This method will attempt to split the user splied fast field
/// name by non-escaped dots, and find the longest matching schema field name.
/// In our case, it would return the (attribute_field, "color").
///
/// If no field is found, but a dynamic field is supplied, then we
/// will simply assuem the user is targetting the dynamic field. (This feature is used in
/// will simply assume the user is targeting the dynamic field. (This feature is used in
/// Quickwit.)
///
/// We then encode the `(field, path)` into the right `columnar_key`.
@@ -217,7 +217,7 @@ impl FastFieldReaders {
Ok(dynamic_column.into())
}
/// Returning a `dynamic_column_handle`.
/// Returns a `dynamic_column_handle`.
pub fn dynamic_column_handle(
&self,
field_name: &str,
@@ -234,7 +234,7 @@ impl FastFieldReaders {
Ok(dynamic_column_handle_opt)
}
/// Returning all `dynamic_column_handle`.
/// Returns all `dynamic_column_handle` that match the given field name.
pub fn dynamic_column_handles(
&self,
field_name: &str,
@@ -250,6 +250,22 @@ impl FastFieldReaders {
Ok(dynamic_column_handles)
}
/// Returns all `dynamic_column_handle` that are inner fields of the provided JSON path.
pub fn dynamic_subpath_column_handles(
&self,
root_path: &str,
) -> crate::Result<Vec<DynamicColumnHandle>> {
let Some(resolved_field_name) = self.resolve_field(root_path)? else {
return Ok(Vec::new());
};
let dynamic_column_handles = self
.columnar
.read_subpath_columns(&resolved_field_name)?
.into_iter()
.collect();
Ok(dynamic_column_handles)
}
#[doc(hidden)]
pub async fn list_dynamic_column_handles(
&self,
@@ -265,6 +281,21 @@ impl FastFieldReaders {
Ok(columns)
}
#[doc(hidden)]
pub async fn list_subpath_dynamic_column_handles(
&self,
root_path: &str,
) -> crate::Result<Vec<DynamicColumnHandle>> {
let Some(resolved_field_name) = self.resolve_field(root_path)? else {
return Ok(Vec::new());
};
let columns = self
.columnar
.read_subpath_columns_async(&resolved_field_name)
.await?;
Ok(columns)
}
/// Returns the `u64` column used to represent any `u64`-mapped typed (String/Bytes term ids,
/// i64, u64, f64, DateTime).
///
@@ -476,6 +507,15 @@ mod tests {
.iter()
.any(|column| column.column_type() == ColumnType::Str));
println!("*** {:?}", fast_fields.columnar().list_columns());
let json_columns = fast_fields.dynamic_column_handles("json").unwrap();
assert_eq!(json_columns.len(), 0);
let json_subcolumns = fast_fields.dynamic_subpath_column_handles("json").unwrap();
assert_eq!(json_subcolumns.len(), 3);
let foo_subcolumns = fast_fields
.dynamic_subpath_column_handles("json.foo")
.unwrap();
assert_eq!(foo_subcolumns.len(), 0);
}
}

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