mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-27 20:45:06 +08:00
d4f10800f2
3834: Define searchable fields at runtime r=Kerollmops a=ManyTheFish ## Summary This feature allows the end-user to search in one or multiple attributes using the search parameter `attributesToSearchOn`: ```json { "q": "Captain Marvel", "attributesToSearchOn": ["title"] } ``` This feature act like a filter, forcing Meilisearch to only return the documents containing the requested words in the attributes-to-search-on. Note that, with the matching strategy `last`, Meilisearch will only ensure that the first word is in the attributes-to-search-on, but, the retrieved documents will be ordered taking into account the word contained in the attributes-to-search-on. ## Trying the prototype A dedicated docker image has been released for this feature: #### last prototype version: ```bash docker pull getmeili/meilisearch:prototype-define-searchable-fields-at-search-time-1 ``` #### others prototype versions: ```bash docker pull getmeili/meilisearch:prototype-define-searchable-fields-at-search-time-0 ``` ## Technical Detail The attributes-to-search-on list is given to the search context, then, the search context uses the `fid_word_docids`database using only the allowed field ids instead of the global `word_docids` database. This is the same for the prefix databases. The database cache is updated with the merged values, meaning that the union of the field-id-database values is only made if the requested key is missing from the cache. ### Relevancy limits Almost all ranking rules behave as expected when ordering the documents. Only `proximity` could miss-order documents if all the searched words are in the restricted attribute but a better proximity is found in an ignored attribute in a document that should be ranked lower. I put below a failing test showing it: ```rust #[actix_rt::test] async fn proximity_ranking_rule_order() { let server = Server::new().await; let index = index_with_documents( &server, &json!([ { "title": "Captain super mega cool. A Marvel story", // Perfect distance between words in an ignored attribute "desc": "Captain Marvel", "id": "1", }, { "title": "Captain America from Marvel", "desc": "a Shazam ersatz", "id": "2", }]), ) .await; // Document 2 should appear before document 1. index .search(json!({"q": "Captain Marvel", "attributesToSearchOn": ["title"], "attributesToRetrieve": ["id"]}), |response, code| { assert_eq!(code, 200, "{}", response); assert_eq!( response["hits"], json!([ {"id": "2"}, {"id": "1"}, ]) ); }) .await; } ``` Fixing this would force us to create a `fid_word_pair_proximity_docids` and a `fid_word_prefix_pair_proximity_docids` databases which may multiply the keys of `word_pair_proximity_docids` and `word_prefix_pair_proximity_docids` by the number of attributes in the searchable_attributes list. If we think we should fix this test, I'll suggest doing it in another PR. ## Related Fixes #3772 Co-authored-by: Tamo <tamo@meilisearch.com> Co-authored-by: ManyTheFish <many@meilisearch.com> |
||
---|---|---|
.. | ||
facet | ||
index_documents | ||
prefix_word_pairs | ||
snapshots/delete_documents.rs | ||
available_documents_ids.rs | ||
clear_documents.rs | ||
delete_documents.rs | ||
facets.rs | ||
indexer_config.rs | ||
mod.rs | ||
settings.rs | ||
update_step.rs | ||
word_prefix_docids.rs | ||
words_prefix_integer_docids.rs | ||
words_prefixes_fst.rs |