**Changes:**
Introduce a test_settings_documents_indexing_swapping_and_search function that run the test twice:
1) by indexing the settings before the documents then running the test
2) by indexing the documents before the settings then running the test
This helps to ensure that their is no bug coming from one or the other indexer.
**Reason:**
Because the filterable attributes are patterns now,
the fieldIdMap will only register the fields that exists in at least one document.
if a field doesn't exist in any document, it will not be registered even if it has been specified in the filterable fields.
**Changes:**
The searchable database extraction is now relying on the AttributePatterns and FieldIdMapWithMetadata to match the field to extract.
Remove the SearchableExtractor trait to make the code less complex.
**Impact:**
- Document Addition/modification searchable indexing
- Document deletion searchable indexing
**Changes:**
The Documents changes now take a selector closure instead of a list of field to match the field to extract.
The seek_leaf_values_in_object function now uses a selector closure of a list of field to match the field to extract
The facet database extraction is now relying on the FilterableAttributesRule to match the field to extract.
The facet-search database extraction is now relying on the FieldIdMapWithMetadata to select the field to index.
The facet level database extraction is now relying on the FieldIdMapWithMetadata to select the field to index.
**Important:**
Because the filterable attributes are patterns now,
the fieldIdMap will only register the fields that exists in at least one document.
if a field doesn't exist in any document, it will not be registered even if it has been specified in the filterable fields.
**Impact:**
- Document Addition/modification facet indexing
- Document deletion facet indexing
**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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5239: Fix corrupted task queue errors on index creation r=dureuill a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/5238
## What does this PR do?
- Add a test that reproduces the issue and ensure we never introduce the bug again
- Fix the bug by storing the stats of the index upon creation instead of waiting for the update index task to do it
Co-authored-by: Tamo <tamo@meilisearch.com>
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5237: Bring back v1.12.3 changes into main r=irevoire a=dureuill
This brings back the (already reviewed) changes of v1.12.3 into main:
1. fix the field distribution issue
2. improve the error message when trying to delete a non-existing key
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
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5182: Remove hard coded task ids to prevent flaky tests r=irevoire a=mhmoudr
# Pull Request
## Related issue
Fixes partial #4840
## What does this PR do?
- Mainly scan the test code for any hard coded task Id and replace it by the returned task Id once the action or task is performed on an index.
- PS: _PR is not split by files as it has one theme applied to all tests which make it easy to review_
## 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: Mahmoud Rawas <mhmoudr@gmail.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
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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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5223: Limit batched tasks total size r=curquiza a=Kerollmops
Introduce a new engine parameter (env and config, too) to limit the maximum payload size processed by the engine in batches. You can [review the Discussion and usage on GitHub](https://github.com/orgs/meilisearch/discussions/801).
Co-authored-by: Clément Renault <clement@meilisearch.com>
