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>
4621: Bring back changes from v1.8.0 into main r=curquiza a=curquiza
Co-authored-by: ManyTheFish <many@meilisearch.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
4536: Limit concurrent search requests r=ManyTheFish a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4489
## What does this PR do?
- Adds a « search queue » that limits the number of search requests we can process at the same time and stores search requests to be processed
- Process only one search request per core/thread (we use available_parallelism)
- When the search queue is full, new search requests replace old ones **randomly**. The reason is that:
- If we serve the oldest one first, like Typesense, we give the worst performances to everyone
- If we serve the latest one, it gets too easy to DoS us (you just need to fill the queue with as many search requests as we can process simultaneously to ensure no other request will ever be processed)
- By picking the search request randomly, we give a chance to recent search requests to be processed while ensuring that we can't be owned unless they fill our queue entirely and we start returning errors 5xx
- Adds an experimental parameter to control the size of the queue
- Adds a bunch of tests to ensure the search queue works correctly
- Ensure the loop consuming the search queue is running in the health route and crashes if it’s not the case
Co-authored-by: Tamo <tamo@meilisearch.com>
4042: Implements the new replication parameters r=ManyTheFish a=irevoire
### This PR implements the necessary parameters for the High Availability
- [ ] Update the spec
Introduce a new CLI flag called `--experimental-replication-parameters` that changes a few behaviors in the engine:
- [The auto-deletion of tasks is disabled](https://specs.meilisearch.com/specifications/text/0060-tasks-api.html#_2-technical-details)
- Upon registering a task, you can choose its task ID by sending a new header: `TaskId: 456645`. It must be a valid number, which must be superior to the last task id ever seen.
- Add the ability to « dry-register » a task. That means meilisearch will answer to you with a valid task ID like everything went well, but won’t actually write anything in the database. To do that, you need to use the `DryRun: true` header.
----
Old prototype `prototype-custom-task-id-0`:
- Adds the capability to specify your own task ID via the `TaskId` http header
- Make the task IDs a u64 instead of a u32
Co-authored-by: Tamo <tamo@meilisearch.com>
4389: Stabilize scoreDetails r=dureuill a=dureuill
# Pull Request
## Related issue
Fixes#4359
## What does this PR do?
### User standpoint
- Users no longer need to enable the `scoreDetails` experimental feature to use `showRankingScoreDetails` in search queries.
- ⚠️ **Breaking change**: sending an object containing the key `"scoreDetails"` to the `/experimental-features` route is now an error. However, importing a dump of a database where that feature was enabled completes successfully.
### Implementation standpoint
- remove `scoreDetails` from the experimental features
- remove check on the experimental feature `scoreDetails` before accepting `showRankingScoreDetails`
- remove `scoreDetails` from the accepted fields in the `/experimental-features` route
- fix tests accordingly
## Manual tests
1. exported a dump with the `scoreDetails` feature enabled on `main`
- tried to import the dump after the changes in this PR
- the dump imported successfully
2. tried to make a search with `showRankingScoreDetails: true`
- the ranking score details are displayed
- an automated test case also exists and passes
3. tried to enable the `scoreDetails` in `/experimental-features`
- get error message
```
Unknown field `scoreDetails`: expected one of `vectorStore`, `metrics`, `exportPuffinReports`
```
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
-> make sure the settings change is rejected or the settings task fails when the specified model doesn't support
overriding `dimensions` and the passed `dimensions` differs from the model's default dimensions.
