4912: Allow Meilitool to dumplessly, offline upgrade v1.9 -> v1.10 in some conditions r=Kerollmops a=dureuill
- bail early if the DB contains at least 1 REST embedder, providing the list of detected REST embedders, and without modifying the DB
- Might depend on the feature set that meilitool was compiled with and the featureset that the Meilisearch that created the DB was compiled with 💀. In case of runtime error, try again with a different feature set (passing or not passing `-p meilitool` when building after a `cargo clean`)
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4908: Bring back changes from release v1.10.1 to main r=dureuill a=irevoire
# Pull Request
Following the [latest release](https://github.com/meilisearch/meilisearch/releases/tag/v1.10.1), this PR brings back the changes to main.
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: irevoire <irevoire@users.noreply.github.com>
4888: bring back v1.10.0 into main r=Kerollmops a=ManyTheFish
Co-authored-by: Louis Dureuil <louis@meilisearch.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>
4845: Fix perf regression facet strings r=ManyTheFish a=dureuill
Benchmarks between v1.9 and v1.10 show a performance regression of about x2 (+3dB regression) for most indexing workloads (+44s for hackernews).
[Benchmark interpretation in the engine weekly meeting](https://www.notion.so/meilisearch/Engine-weekly-4d49560d374c4a87b4e3d126a261d4a0?pvs=4#98a709683276450295fcfe1f8ea5cef3).
- Initial investigation pointed to #4819 as the origin of the regression.
- Further investigation points towards the hypernormalization of each facet value in `extract_facet_string_docids`
- Most of the slowdown is in `normalize_facet_strings`, and precisely in `detection.language()`.
This PR improves the situation (-10s compared with `main` for hackernews, so only +34s regression compared with `v1.9`) by skipping normalization when it can be skipped.
I'm not sure how to fix the root cause though. Should we skip facet locale normalization for now? Cc `@ManyTheFish`
---
Tentative resolution options:
1. remove locale normalization from facet. I'm not sure why this is required, I believe we weren't doing this before, so maybe we can stop doing that again.
2. don't do language detection when it can be helped: won't help with the regressions in benchmark, but maybe we can skip language detection when the locales contain only one language?
3. use a faster language detection library: `@Kerollmops` told me about https://github.com/quickwit-oss/whichlang which bolsters x10 to x100 throughput compared with whatlang. Should we consider replacing whatlang with whichlang? Now I understand whichlang supports fewer languages than whatlang, so I also suggest:
4. use whichlang when the list of locales is empty (autodetection), or when it only contains locales that whichlang can detect. If the list of locales contains locales that whichlang *cannot* detect, **then** use whatlang instead.
---
> [!CAUTION]
> this PR contains a commit that adds detailed spans, that were used to detect which part of `extract_facet_string_docids` was taking too much time. As this commit adds spans that are called too often and adds 7s overhead, it should be removed before landing.
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>
4839: In prometheus metrics return the route pattern instead of the real route when returning the HTTP requests total r=irevoire a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4825
## What does this PR do?
- return the route pattern instead of the real route when returning the HTTP requests total
Co-authored-by: Tamo <tamo@meilisearch.com>
4836: Attach declared localized-attributes subroutes r=dureuill a=dureuill
RC.0 unexpectedly doesn't contain the `GET /indexes/{indexUid}/localized-attributes` and `PUT /indexes/{indexUid}/localized-attributes` subroute.
This PR makes them available.
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
4769: Federated search r=ManyTheFish a=dureuill
# Pull Request
## Related issue
Fixes#4747
[Usage](https://meilisearch.notion.site/v1-10-federated-search-698dfe36ab6b4668b044f735fb40f0b2)
## What does this PR do?
- multi-search now allows a top-level federation object. When not `null`, the results of multi-search are modified to be a single list of results rather than a list of a list of results
- changed lifetimes around tokenizer et al. to be able to make hits one by one rather than using a vector
- adds `roaring` to Meilisearch itself. As the federated search happens at the Meilisearch level (reuses the search functions declared at the Meilisearch level + merge happens after the hits were created), `RoaringBitmap`s are needed to track the candidates: hits that were seen, all candidates.
- Refactor `make_hits` to allow for an individual, optimized `make_hit`
- Score details comparison no longer fail when sorting on different field names or target point (for geo)
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
