4693: Introduce distinct attributes at search time r=irevoire a=Kerollmops
This PR fixes#4611.
### To Do
- [x] Remove the `distinguishableAttributes` settings (not even a commit about that).
- [x] Use the `filterableAttributes` to be able to use the `distinct` parameter at search.
- [x] Work on the errors and make tests.
Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
4649: Don't store the vectors in the documents database r=dureuill a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4607
## What does this PR do?
- Ensure that anything falling under `_vectors` is NOT searchable, filterable or sortable
- [x] per embedder, add a roaring bitmap of documents that provide "userProvided" embeddings
- [x] in the indexing process in extract_vector_points, set the bit corresponding to the document depending on the "userProvided" subfield in the _vectors field.
- [x] in the document DB in typed chunks, when writing the _vectors field, remove all keys corresponding to an embedder
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
- when the feature is disabled, documents are never modified
- when the feature is enabled and `retrieveVectors` is disabled, `_vectors` is removed from documents
- when the feature is enabled and `retrieveVectors` is enabled, vectors from the vectors DB are merged with `_vectors` in documents
Additionally `_vectors` is never displayed when the `displayedAttributes` list does not contain either `*` or `_vectors`
- fixed an issue where `_vectors` was not injected when all vectors in the dataset where always generated
4682: Speed Up Filter ANDs operations r=Kerollmops a=Kerollmops
This PR fixes#4659 and improves the way we do AND operations by using the latest [RoaringBitmap feature to do intersections with serialized bitmaps](https://github.com/RoaringBitmap/roaring-rs/pull/281). Doing so drastically reduces the time spent reading, copying bytes in memory to use and keep a subset of the containers in the bitmap.
### Some Example Results
With a 45M documents dataset running on a good NVMe. This example filter was taking 77ms and with this PR only 13ms (6x speedup):
```sql
artist = 'The Beatles' AND (duration 150 TO 500 OR duration NOT EXISTS) AND genres IN [Rock, 'Rock and Roll'] AND rating > 4 AND released_year 1960 TO 1990
```
By reordering the filter AND clauses we can reach a constant 8ms execution time. However, note that it is a manual operation. On the other side the previous filter pipeline is still at a constant 45ms execution time with this filter. (6x speedup)
```sql
artist = 'The Beatles' AND genres IN [Rock, 'Rock and Roll'] AND released_year 1960 TO 1990 AND (duration 150 TO 500 OR duration NOT EXISTS)
```
### To Do
- [x] Rebase on `release-v1.9.0`.
- [ ] ~Skip branches of the facet/filter tree when nothing is in common with the universe~ slower this way.
- [x] When the universe is required use the universe given in parameter if possible.
Co-authored-by: Clément Renault <clement@meilisearch.com>
4689: Bring back changes from v1.8.2 into v1.9.0 r=curquiza a=dureuill
Co-authored-by: dureuill <dureuill@users.noreply.github.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
4681: Fix concurrency issue r=irevoire a=dureuill
# Pull Request
## Related issue
Fixes#4654
## What does this PR do?
- Asynchronously drop permits
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4688: Update version for the next release (v1.8.2) in Cargo.toml r=dureuill a=meili-bot
⚠️ This PR is automatically generated. Check the new version is the expected one and Cargo.lock has been updated before merging.
Co-authored-by: dureuill <dureuill@users.noreply.github.com>
