Clément Renault
e2bc054604
Update extract_facet_string_docids to support deladd obkvs
2023-10-30 11:32:36 +01:00
Clément Renault
fcd3a1434d
Update extract_facet_number_docids to support deladd obkvs
2023-10-30 11:31:04 +01:00
Clément Renault
a82dee21e0
Rename docid_fid into fid_docid
2023-10-30 11:31:02 +01:00
Clément Renault
bc45c1206d
Implement all the facet extraction paths and simplify them
2023-10-30 11:29:08 +01:00
Clément Renault
6ae4100f07
Generate the DelAdd for is_null, is_empty, and exists
2023-10-30 11:29:08 +01:00
Clément Renault
0c47defeee
Work on fid docid facet values rewrite
2023-10-30 11:29:06 +01:00
ManyTheFish
313b16bec2
Support diff indexing on extract_docid_word_positions
2023-10-30 11:24:19 +01:00
ManyTheFish
1dd97578a8
Make the transform struct return diff-based documents obkvs
2023-10-30 11:22:07 +01:00
ManyTheFish
f5ef69293b
deactivate prefix dbs
2023-10-30 11:22:07 +01:00
ManyTheFish
1c5705c164
clean PR warnings
2023-10-30 11:22:05 +01:00
ManyTheFish
66c2c82a18
Split wpp in several sorters
2023-10-30 11:15:02 +01:00
ManyTheFish
28a8d0ccda
Fix word pair proximity
2023-10-30 11:15:02 +01:00
ManyTheFish
96be85396d
Use a vecDeque in wpp database
2023-10-30 11:15:02 +01:00
ManyTheFish
df9e5c8651
Generalize usage of CboRoaringBitmap codec to ease the use
2023-10-30 11:15:02 +01:00
ManyTheFish
b541d48847
Add buffer to the obkv writter
2023-10-30 11:15:02 +01:00
ManyTheFish
8ccf32d1a0
Compute word_fid_docids before word_docids and exact_word_docids
2023-10-30 11:15:02 +01:00
ManyTheFish
db1ca21231
add puffin in sorter into reeder function
2023-10-30 11:15:00 +01:00
ManyTheFish
11ea5acff9
Fix
2023-10-30 11:13:10 +01:00
ManyTheFish
8d77736a67
Fix fid_word_docids
2023-10-30 11:13:10 +01:00
ManyTheFish
748b333161
Add usefull debug assert before key insertion in database
2023-10-30 11:13:10 +01:00
ManyTheFish
17b647dfe5
Wip
2023-10-30 11:13:08 +01:00
meili-bors[bot]
5e0485d8dd
Merge #4131
...
4131: Reduce proximity range from 7 to 3 r=Kerollmops a=ManyTheFish
## Summary
This PR aims to reduce the impact of the proximity databases on the indexing time and on the database size by reducing the maximum distance between two words to be indexed in the proximity database.
## Stats
### Impact on database size and indexing time
### Impact on search relevancy
<details>
| dataset_name | host_name | Relevancy rate (Precision) | completion_rate 25.00% | completion_rate 50.00% | completion_rate 75.00% | completion_rate 100.00% |
|--------------|------------------|------------------------------------|-----------------|-----------------|-----------------|-----------------|
| FBIS | 1_4_0 | percentile-10 | 0.00% | 0.00% | 0.00% | 0.00% |
| FBIS | 1_4_0 | percentile-25 | 0.00% | 0.00% | 0.00% | 0.00% |
| FBIS | 1_4_0 | percentile-50 | 0.00% | 0.00% | 5.00% | 5.56% |
| FBIS | 1_4_0 | percentile-75 | 0.00% | 12.50% | 35.00% | 45.00% |
| FBIS | 1_4_0 | percentile-90 | 20.00% | 40.00% | | 100.00% |
| FBIS | 1_4_0 | average | 5.78% | 11.16% | 21.90% | 26.29% |
| FBIS | reduce_proximity | percentile-10 | 0.00% | 0.00% | 0.00% | 0.00% |
| FBIS | reduce_proximity | percentile-25 | 0.00% | 0.00% | 0.00% | 0.00% |
| FBIS | reduce_proximity | percentile-50 | 0.00% | 0.00% | 5.00% | 5.56% |
| FBIS | reduce_proximity | percentile-75 | 0.00% | 15.00% | 35.00% | 40.00% |
| FBIS | reduce_proximity | percentile-90 | 20.00% | 40.00% | 85.00% | 100.00% |
| FBIS | reduce_proximity | average | 5.55% | 11.34% | 21.75% | 26.14% |
| FR94 | 1_4_0 | percentile-10 | 0.00% | 0.00% | 0.00% | 0.00% |
| FR94 | 1_4_0 | percentile-25 | 0.00% | 0.00% | 0.00% | 0.00% |
| FR94 | 1_4_0 | percentile-50 | 0.00% | 0.00% | 0.00% | 0.00% |
| FR94 | 1_4_0 | percentile-75 | 0.00% | 5.00% | 15.00% | 42.11% |
| FR94 | 1_4_0 | percentile-90 | 15.00% | 54.55% | 100.00% | 100.00% |
| FR94 | 1_4_0 | average | 5.95% | 12.07% | 18.70% | 25.57% |
| FR94 | reduce_proximity | percentile-10 | 0.00% | 0.00% | 0.00% | 0.00% |
| FR94 | reduce_proximity | percentile-25 | 0.00% | 0.00% | 0.00% | 0.00% |
| FR94 | reduce_proximity | percentile-50 | 0.00% | 0.00% | 0.00% | 0.00% |
| FR94 | reduce_proximity | percentile-75 | 0.00% | 5.00% | 15.00% | 42.11% |
| FR94 | reduce_proximity | percentile-90 | 15.00% | 54.55% | 100.00% | 100.00% |
| FR94 | reduce_proximity | average | 5.79% | 12.00% | 18.70% | 25.53% |
| FT | 1_4_0 | percentile-10 | 0.00% | 0.00% | 0.00% | 0.00% |
| FT | 1_4_0 | percentile-25 | 0.00% | 0.00% | 0.00% | 0.00% |
| FT | 1_4_0 | percentile-50 | 0.00% | 0.00% | 5.00% | 10.00% |
| FT | 1_4_0 | percentile-75 | 0.00% | 15.00% | 30.00% | 40.00% |
| FT | 1_4_0 | percentile-90 | 20.00% | 50.00% | 65.00% | 100.00% |
| FT | 1_4_0 | average | 5.08% | 12.58% | 20.00% | 25.49% |
| FT | reduce_proximity | percentile-10 | 0.00% | 0.00% | 0.00% | 0.00% |
| FT | reduce_proximity | percentile-25 | 0.00% | 0.00% | 0.00% | 0.00% |
| FT | reduce_proximity | percentile-50 | 0.00% | 0.00% | 5.00% | 10.00% |
| FT | reduce_proximity | percentile-75 | 0.00% | 15.00% | 30.00% | 40.00% |
| FT | reduce_proximity | percentile-90 | 10.00% | 45.00% | 60.00% | 100.00% |
| FT | reduce_proximity | average | 5.01% | 12.64% | 20.10% | 25.53% |
| LAT | 1_4_0 | percentile-10 | 0.00% | 0.00% | 0.00% | 0.00% |
| LAT | 1_4_0 | percentile-25 | 0.00% | 0.00% | 0.00% | 0.00% |
| LAT | 1_4_0 | percentile-50 | 0.00% | 0.00% | 5.00% | 5.00% |
| LAT | 1_4_0 | percentile-75 | 5.00% | 15.00% | 30.00% | 30.00% |
| LAT | 1_4_0 | percentile-90 | 15.00% | 45.00% | 60.00% | 80.00% |
| LAT | 1_4_0 | average | 4.80% | 11.80% | 17.88% | 21.62% |
| LAT | reduce_proximity | percentile-10 | 0.00% | 0.00% | 0.00% | 0.00% |
| LAT | reduce_proximity | percentile-25 | 0.00% | 0.00% | 0.00% | 0.00% |
| LAT | reduce_proximity | percentile-50 | 0.00% | 0.00% | 5.00% | 5.00% |
| LAT | reduce_proximity | percentile-75 | 0.00% | 11.11% | 25.00% | 35.00% |
| LAT | reduce_proximity | percentile-90 | 15.00% | 45.00% | 55.00% | 80.00% |
| LAT | reduce_proximity | average | 4.43% | 11.23% | 17.32% | 21.45% |
</details>
### Impact on Search time
| dataset_name | host_name | 25.00% | 50.00% | 75.00% | 100.00% | Average |
|--------------|------------------|------------:|------------:|------------:|------------:|-------------|
| FBIS | 1_4_0 | 3.45 | 7.446666667 | 9.773489933 | 9.620300752 | 7.572614338 |
| FBIS | reduce_proximity | 2.983333333 | 5.316666667 | 6.911073826 | 7.637218045 | 5.712072968 |
| FR94 | 1_4_0 | 2.236666667 | 4.45 | 5.523489933 | 4.560150376 | 4.192576744 |
| FR94 | reduce_proximity | 2.09 | 3.991666667 | 4.981543624 | 4.266917293 | 3.832531896 |
| FT | 1_4_0 | 5.956666667 | 9.656666667 | 13.86912752 | 10.83270677 | 10.0787919 |
| FT | reduce_proximity | 4.51 | 5.981666667 | 7.701342282 | 6.766917293 | 6.23998156 |
| LAT | 1_4_0 | 5.856666667 | 9.233333333 | 12.98322148 | 10.78759398 | 9.715203865 |
| LAT | reduce_proximity | 6.91 | 6.706666667 | 8.463087248 | 8.265037594 | 7.586197877 |
## Technical approach
- Ensure the MAX_DISTANCE constant is used everywhere needed
- Reduce the MAX_DISTANCE from 8 to 4
## Related
TBD
Co-authored-by: ManyTheFish <many@meilisearch.com>
2023-10-18 14:56:08 +00:00
ManyTheFish
27eec21415
Fix tests
2023-10-18 16:03:22 +02:00
Clément Renault
62dfd09dc6
Add more puffin logs to the deletion functions
2023-10-13 13:11:09 +02:00
Tamo
c0f2724c2d
get rids of the new introduced error code in favor of an io::Error
2023-10-10 15:12:23 +02:00
Tamo
d772073dfa
use a bufreader everytime there is a grenad<file>
2023-10-10 15:00:30 +02:00
meili-bors[bot]
487d493f49
Merge #4043
...
4043: Bring back hotfixes from v1.3.3 into v1.4.0 r=Kerollmops a=curquiza
Co-authored-by: curquiza <curquiza@users.noreply.github.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: curquiza <clementine@meilisearch.com>
2023-09-11 12:27:34 +00:00
meili-bors[bot]
256cf33bca
Merge #4039
...
4039: Fix multiple vectors dimensions r=ManyTheFish a=Kerollmops
This PR fixes #4035 , making providing multiple vectors in documents possible. This is fixed by extracting the vectors from the non-flattened version of the documents.
Co-authored-by: Kerollmops <clement@meilisearch.com>
2023-09-07 09:25:58 +00:00
Kerollmops
679c0b0f97
Extract the vectors from the non-flattened version of the documents
2023-09-06 12:26:00 +02:00
Kerollmops
e02d0064bd
Add a test case scenario
2023-09-06 12:26:00 +02:00
meili-bors[bot]
dc3d9c90d9
Merge #3994
...
3994: Fix synonyms with separators r=Kerollmops a=ManyTheFish
# Pull Request
## Related issue
Fixes #3977
## Available prototype
```
$ docker pull getmeili/meilisearch:prototype-fix-synonyms-with-separators-0
```
## What does this PR do?
- add a new test
- filter the empty synonyms after normalization
Co-authored-by: ManyTheFish <many@meilisearch.com>
2023-09-05 14:42:46 +00:00
ManyTheFish
66aa6d5871
Ignore tokens with empty normalized value during indexing process
2023-09-05 15:44:14 +02:00
Kerollmops
8ac5b765bc
Fix synonyms normalization
2023-09-04 16:12:48 +02:00
Kerollmops
085aad0a94
Add a test
2023-09-04 14:39:33 +02:00
meili-bors[bot]
ccf3ba3f32
Merge #4019
...
4019: Bringing back changes from `v1.3.2` onto `main` r=irevoire a=Kerollmops
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: irevoire <irevoire@users.noreply.github.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
2023-08-28 12:14:11 +00:00
Kerollmops
c53841e166
Accept the null JSON value as the value of _vectors
2023-08-14 16:03:55 +02:00
meili-bors[bot]
e4e49e63d0
Merge #3993
...
3993: Bringing back changes from v1.3.1 to `main` r=irevoire a=curquiza
Co-authored-by: irevoire <irevoire@users.noreply.github.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>
2023-08-10 14:30:02 +00:00
ManyTheFish
5a7c1bde84
Fix clippy
2023-08-10 11:27:56 +02:00
ManyTheFish
6b2d671be7
Fix PR comments
2023-08-10 10:44:07 +02:00
Many the fish
43c13faeda
Update milli/src/update/index_documents/extract/extract_docid_word_positions.rs
...
Co-authored-by: Tamo <tamo@meilisearch.com>
2023-08-10 10:05:03 +02:00
meili-bors[bot]
44c1900f36
Merge #3986
...
3986: Fix geo bounding box with strings r=ManyTheFish a=irevoire
# Pull Request
When sending a document with one geofield of type string (i.e.: `{ "_geo": { "lat": 12, "lng": "13" }}`), the geobounding box would exclude this document.
This PR fixes this issue by automatically parsing the string value in case we're working on a geofield.
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/3973
## What does this PR do?
- Automatically parse the facet value iif we're working on a geofield.
- Make insta works with snapshots in loops or closure executed multiple times. (you may need to update your cli if it panics after this PR: `cargo install cargo-insta`).
- Add one integration test in milli and in meilisearch to ensure it works forever.
- Add three snapshots for the dump that mysteriously disappeared I don't know how
Co-authored-by: Tamo <tamo@meilisearch.com>
2023-08-09 07:58:15 +00:00
ManyTheFish
8dc5acf998
Try fix
2023-08-08 16:52:36 +02:00
ManyTheFish
35758db9ec
Truncate the the normalized long facets used in search for facet value
2023-08-08 16:38:30 +02:00
Tamo
9d061cec26
automatically parse the filterable attribute to float if it's a geo field
2023-08-08 16:28:07 +02:00
ManyTheFish
4a21fecf67
Merge branch 'main' into settings-customizing-tokenization
2023-08-08 16:08:16 +02:00
ManyTheFish
b45c36cd71
Merge branch 'main' into tmp-release-v1.3.0
2023-08-01 15:05:17 +02:00
ManyTheFish
9d5e3457e5
Fix clippy
2023-07-27 14:21:19 +02:00
ManyTheFish
b0c1a9504a
ensure the synonyms are updated when the tokenizer settings are changed
2023-07-26 09:33:42 +02:00
meili-bors[bot]
be72be7c0d
Merge #3942
...
3942: Normalize for the search the facets values r=ManyTheFish a=Kerollmops
This PR improves and fixes the search for facet values feature. Searching for _bre_ wasn't returning facet values like _brévent_ or _brô_.
The issue was related to the fact that facets are normalized but not in the same way as the `searchableAttributes` are. We decided to normalize them further and add another intermediate database where the key is the normalized facet value, and the value is a set of the non-normalized facets. We then use these non-normalized ones to get the correct counts by fetching the associated databases.
### What's missing in this PR?
- [x] Apply the change to the whole set of `SearchForFacetValue::execute` conditions.
- [x] Factorize the code that does an intermediate normalized value fetch in a function.
- [x] Add or modify the search for facet value test.
Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
2023-07-25 14:37:17 +00:00
ManyTheFish
d57026cd96
Support synonyms sinergies
2023-07-25 15:01:42 +02:00
