**Changes:**
The transform structure is now relying on FieldIdMapWithMetadata and AttributePatterns to prepare
the obkv documents during a settings reindexing.
The InnerIndexSettingsDiff and InnerIndexSettings structs are now relying on FieldIdMapWithMetadata, FilterableAttributesRule and AttributePatterns to define the field and the databases that should be reindexed.
The faceted_fields_ids, localized_searchable_fields_ids and localized_faceted_fields_ids have been removed in favor of the FieldIdMapWithMetadata.
We are now relying on the FieldIdMapWithMetadata to retain vectors_fids from the facets and the searchables.
The searchable database computing is now relying on the FieldIdMapWithMetadata to know if a field is searchable and retrieve the locales.
The facet database computing is now relying on the FieldIdMapWithMetadata to compute the facet databases, the facet-search and retrieve the locales.
The facet level database computing is now relying on the FieldIdMapWithMetadata and the facet level database are cleared depending on the settings differences (clear_facet_levels_based_on_settings_diff).
The vector point extraction uses the FieldIdMapWithMetadata instead of FieldsIdsMapWithMetadata.
**Impact:**
- Dump import
- Settings update
**Changes:**
The building of the Attributes ranking rule graph was comparing fieldids with weights
which doesn't make sense and may be bug prone, we are now comparing fieldids with fieldids.
**Impact:**
- search: Attribute ranking rule
**Changes:**
The FieldIdMapWithMetadata structure now stores more information about fields.
The metadata_for_field function computes all the needed information relying on the user provided data instead of the enriched data (searchable/sortable)
which may solve an indexing bug on sortable attributes that was not matching the nested fields.
The FieldIdMapWithMetadata structure was duplicated in the embeddings as FieldsIdsMapWithMetadata,
so the FieldsIdsMapWithMetadata has been removed in favor of FieldIdMapWithMetadata.
The Facet distribution is now relying on the FieldIdMapWithMetadata with metadata to match is a field can be faceted.
**Impact:**
- searchable attributes matching
- searchable attributes weight computation
- sortable attributes matching
- faceted fields matching
- prompt computing
- facet distribution
**Changes:**
The search filters are now using the FilterableAttributesFeatures from the FilterableAttributesRules to know if a field is filterable.
Moreover, the FilterableAttributesFeatures is more precise and an error will be returned if an operator is used on a field that doesn't have the related feature.
The facet-search is now checking if the feature is allowed in the FilterableAttributesFeatures and an error will be returned if the field doesn't have the related feature.
**Impact:**
- facet-search is now relying on AttributePatterns to match the locales
- search using filters is now relying on FilterableAttributesFeatures
- distinct attribute is now relying on FilterableAttributesRules
**Changes:**
The filterableAttributes type has been changed from a `BTreeSet<String>` to a `Vec<FilterableAttributesRule>`,
Which is a list of rules defining patterns to match the documents' fields and a set of feature to apply on the matching fields.
The rule order given by the user is now an important information, the features applied on a filterable field will be chosen based on the rule order as we do for the LocalizedAttributesRules.
This means that the list will not be reordered anymore and will keep the user defined order,
moreover, if there are any duplicates, they will not be de-duplicated anymore.
**Impact:**
- Settings API
- the database format of the filterable attributes changed
- may impact the LocalizedAttributesRules due to the AttributePatterns factorization
- OpenAPI generator
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5221: Merge bitmaps by using `Extend::extend` r=Kerollmops a=Kerollmops
This PR tries to speed up the merging of bitmaps by using [the new `Extend::extend` implementation](https://github.com/RoaringBitmap/roaring-rs/pull/306).
Co-authored-by: Clément Renault <clement@meilisearch.com>
5220: Merge back changes of v1.12.2 in main r=dureuill a=dureuill
Co-authored-by: curquiza <curquiza@users.noreply.github.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: dureuill <dureuill@users.noreply.github.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
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4867: Autogenerate the openAPI spec r=irevoire a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/5073
## What does this PR do?
- Introduce utoipa and the auto-generation of the openAPI file
- Introduce the scalar swagger when the `swagger` feature flag is enabled.
Generating the openAPI file takes between 15 and 20ms at startup time on my computer. That could be an issue if we plan to stabilize the feature.
Co-authored-by: Tamo <tamo@meilisearch.com>
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5135: Check all search filter attributes are filterable upfront r=curquiza a=jameshiew
# Pull Request
## Related issue
Fixes#5069
## What does this PR do?
- checks all `fid`s in the `Filter` tree are filterable before evaluating search query
- returns AttributeNotFilterable error if any are not
## 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: James Hiew <james@hiew.net>
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5187: Bring back v1.12.0 of pre-release changes into `main` r=irevoire a=curquiza
Co-authored-by: ManyTheFish <many@meilisearch.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: Many the fish <many@meilisearch.com>
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5159: Fix the New Indexer Spilling r=irevoire a=Kerollmops
Fix two bugs in the merging of the spilled caches. Thanks to `@ManyTheFish` and `@irevoire` 👏
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>