3885: Exactness missing field r=dureuill a=dureuill
# Pull Request
Adds fields to score details that were [specified](c25d758264/text/0195-ranking-score.md (322-ranking-rule-specific-fields)), but missing in the implementation:
- `exactness.matchingWords`
- `exactness.maxMatchingWords`
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
3877: update the total_received properties of multiple events r=dureuill a=dureuill
# Pull Request
## Related issue
Fixes#3814
## What does this PR do?
-fix name of `total_received` for several events
Co-authored-by: Tamo <tamo@meilisearch.com>
3878: Remove unsafe `atty` dependency r=dureuill a=Kerollmops
This PR replaces the `atty` dependency with the `is-terminal` one. We do that to fix GHSA-g98v-hv3f-hcfr.
Co-authored-by: Kerollmops <clement@meilisearch.com>
3851: Expose lastUpdate and isIndexing in /stats endpoint r=dureuill a=gentcys
# Pull Request
## Related issue
Fixes#3843
## What does this PR do?
- expose lastUpdate in `/stats` endpoint
- expose isIndex in `stats` endpoint
- add a method `is_task_processing` in index-scheduler/src/lib.rs.
## 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: Cong Chen <cong.chen@ocrlabs.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
3867: Add a new link to the cloud pricing page r=curquiza a=Kerollmops
This PR promotes the Cloud by adding a link to the Pricing page to the startup message!
<img width="1002" alt="Capture d’écran 2023-06-29 à 17 40 22" src="https://github.com/meilisearch/meilisearch/assets/3610253/b0528c24-fcc2-43ff-a6a1-3ed91716663b">
Co-authored-by: Clément Renault <clement@meilisearch.com>
3874: Update version for the next release (v1.3.0) in Cargo.toml r=curquiza 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: gillian-meilisearch <gillian-meilisearch@users.noreply.github.com>
3873: Format let-else ❤️🎉 r=Kerollmops a=dureuill
# Pull Request
Allows passing CI after landing of 6162f6f123
## What does this PR do?
- `cargo +nightly fmt`
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
3866: Update charabia v0.8.0 r=dureuill a=ManyTheFish
# Pull Request
Update Charabia:
- enhance Japanese segmentation
- enhance Latin Tokenization
- words containing `_` are now properly segmented into several words
- brackets `{([])}` are no more considered as context separators so word separated by brackets are now considered near together for the proximity ranking rule
- fixes#3815
- fixes#3778
- fixes [product#151](https://github.com/meilisearch/product/discussions/151)
> Important note: now the float numbers are segmented around the `.` so `3.22` is segmented as [`3`, `.`, `22`] but the middle dot isn't considered as a hard separator, which means that if we search `3.22` we find documents containing `3.22`
Co-authored-by: ManyTheFish <many@meilisearch.com>
3780: Be able to sort facet values by alpha or count r=dureuill a=Kerollmops
This PR introduces a new `sortFacetValuesBy` settings parameter to expose the facet distribution in either count or lexicographic/alpha order.
## Mini Spec of the `sortFacetValuesBy` Settings Parameter
This parameter can be set in the settings to change how the engine returns the facet values. There are two possible values to this parameter.
Please note that the current behavior changed a bit, and keys are returned in lexicographic order instead of undefined order. The previous order wasn't defined as we were using a `HashMap`, which returns entries in hash order (undefined), and we are now using an `IndexMap`, which returns them in insertion order (the order we actually want).
Also, note that there are performance issues when the dataset is enormous. Here are the timings of the engine running on my Macbook Pro M1 (16Go of RAM). [The dataset is 40 million songs file](https://www.notion.so/meilisearch/Songs-from-MusicBrainz-686e31b2bd3845898c7746f502a6e117), and the database size is about 50GiB. Even if you think 800ms is not that high, don't forget that the API is public, and anybody can ask for multiple facets in a single query.
| Search Kind | Get Facets | Max Values per Facet | Time for Alpha | Time for Count | Count but with #3788 |
|------------:|------------|----------------------|:--------------:|----------------|----------------------|
| Placeholder | genres | default (100) | 7ms | 187ms | 122ms |
| Placeholder | genres | 20 | 6ms | 124ms | 75ms |
| Placeholder | album | default (100) | 9ms | 808ms | 677ms |
| Placeholder | album | 20 | 8ms | 579ms | 446ms |
| Placeholder | artist | default (100) | 9ms | 462ms | 344ms |
| Placeholder | artist | 20 | 9ms | 341ms | 246ms |
### Order Values in Alphanumeric Order
This is the default one. Values will be returned by lexicographic order, ascending from A to Z.
```bash
# First, update the settings
curl 'localhost:7700/indexes/movies/settings/facetting' \
-H "Content-Type: application/json" \
-d '{ "sortFacetValuesBy": { "*": "alpha" } }'
# Then, ask for the facet distribution
curl 'localhost:7700/indexes/movies/search?facets=genres'
```
```json5
{
"hits": [
/* list of results */
],
"query": "",
"processingTimeMs": 0,
"limit": 20,
"offset": 0,
"estimatedTotalHits": 1000,
"facetDistribution": {
"genres": {
"Action": 3215,
"Adventure": 1972,
"Animation": 1577,
"Comedy": 5883,
"Crime": 1808,
// ...
}
},
"facetStats": {}
}
```
### Order Values in Count Order
Facet values are sorted by decreasing count. The count is the number of records containing this facet value in the query results.
```bash
# First, update the settings
curl 'localhost:7700/indexes/movies/settings/facetting' \
-H "Content-Type: application/json" \
-d '{ "sortFacetValuesBy": { "*": "count" } }'
# Then, ask for the facet distribution
curl 'localhost:7700/indexes/movies/search?facets=genres'
```
```json5
{
"hits": [
/* list of results */
],
"query": "",
"processingTimeMs": 0,
"limit": 20,
"offset": 0,
"estimatedTotalHits": 1000,
"facetDistribution": {
"genres": {
"Drama": 7337,
"Comedy": 5883,
"Action": 3215,
"Thriller": 3189,
"Romance": 2507,
// ...
}
},
"facetStats": {}
}
```
## Todo List
- [x] Add tests
- [x] Send analytics when a user change the `sortFacetValuesBy`
- [x] Create a prototype and announce it in https://github.com/meilisearch/product/discussions/519.
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
