4730: fix a possibly flaky test r=irevoire a=irevoire
On slow CI, it was possible for a document addition to _not_ to be processed and then get autobatched with an index deletion, which changed their task summary details in the end.
Now, I wait for the task to finish, and the result will always be the same
Co-authored-by: Tamo <tamo@meilisearch.com>
4725: Store primary key as String when Number exceeds i64 range r=irevoire a=JWSong
# Pull Request
## Related issue
Fixes#4696
## What does this PR do?
- When a Number value exceeding the range of i64 is received as a primary key, it will be stored as a String.
## PR checklist
Please check if your PR fulfills the following requirements:
- [x] Does this PR fix an existing issue, or have you listed the changes applied in the PR description (and why they are needed)?
- [x] Have you read the contributing guidelines?
- [x] Have you made sure that the title is accurate and descriptive of the changes?
Thank you so much for contributing to Meilisearch!
Co-authored-by: JWSong <thdwjddn123@gmail.com>
4665: Add missing Korean support r=ManyTheFish a=junhochoi
Some configuration is missing `korean` features and add a test case in `milli/src/search/mod.rs`.
# Pull Request
## Related issue
#3443#3882
## What does this PR do?
- Improvement on enabling Korean support
Inspired by the work (#3882) I tried to enable Korean features but have found some missing configurations.
This PR is add those missing configs (mostly Cargo.toml) and added one test case.
## PR checklist
Please check if your PR fulfills the following requirements:
- [x] Does this PR fix an existing issue, or have you listed the changes applied in the PR description (and why they are needed)?
- [x] Have you read the contributing guidelines?
- [x] Have you made sure that the title is accurate and descriptive of the changes?
Thank you so much for contributing to Meilisearch!
Co-authored-by: Junho Choi <jh.choi@catenoid.net>
4722: Grow by 1TB instead of 1MB r=dureuill a=dureuill
When an index reaches 1TB, increases its size by 1TB rather than 1MB
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4723: Fixes for Rust v1.79 r=ManyTheFish a=dureuill
cherry-picked from the `release-v1.9.0` branch
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4715: Build all arroy indexes that need to be built r=dureuill a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4588
## What does this PR do?
- Update arroy
- Ensure we always rebuild the arroy indexes that need to be built
Co-authored-by: Tamo <tamo@meilisearch.com>
4713: Speed up facet distribution r=ManyTheFish a=Kerollmops
This PR is akin to #4682, but this time, the same logic is applied to the facets. Bitmaps are not decoded, and we do an intersection on the bytes with the search candidates instead of materializing the RoaringBitmap to destroy it just after the operation.
A prospect raised some slow requests when performing facet searches, and I found out that the disk optimization intersection wasn't performed on the facets.
Co-authored-by: Clément Renault <clement@meilisearch.com>
This Pull Request adds two new interesting demos to a brand new list, which replaces the short _Try it_ text just below the Where2Watch showcase image hoping people will notice them.
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
