202: Add field id word count docids database r=Kerollmops a=LegendreM
This PR introduces a new database, `field_id_word_count_docids`, that maps the number of words in an attribute with a list of document ids. This relation is limited to attributes that contain less than 11 words.
This database is used by the exactness criterion to know if a document has an attribute that contains exactly the query without any additional word.
Fix#165Fix#196
Related to [specifications:#36](https://github.com/meilisearch/specifications/pull/36)
Co-authored-by: many <maxime@meilisearch.com>
Co-authored-by: Many <legendre.maxime.isn@gmail.com>
206: Fix http-ui r=Kerollmops a=irevoire
I just noticed that `http-ui` was not compiling on `main`.
I'm not sure this is the best fix, but it works 👀
Co-authored-by: Tamo <irevoire@hotmail.fr>
203: Make the MatchingWords return the number of matching bytes r=Kerollmops a=LegendreM
Make the MatchingWords return the number of matching bytes using a custom Levenshtein algorithm.
Fix#138
Co-authored-by: many <maxime@meilisearch.com>
184: Transfer numbers and strings facets into the appropriate facet databases r=Kerollmops a=Kerollmops
This pull request is related to https://github.com/meilisearch/milli/issues/152 and changes the layout of the facets values, numbers and strings are now in dedicated databases and the user no more needs to define the type of the fields. No more conversion between the two types is done, numbers (floats and integers converted to f64) go to the facet float database and strings go to the strings facet database.
There is one related issue that I found regarding CSVs, the values in a CSV are always considered to be strings, [meilisearch/specifications#28](d916b57d74/text/0028-indexing-csv.md) fixes this issue by allowing the user to define the fields types using `:` in the "CSV Formatting Rules" section.
All previous tests on facets have been modified to pass again and I have also done hand-driven tests with the 115m songs dataset. Everything seems to be good!
Fixes#192.
Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
200: Fix plane sweep algorithm r=Kerollmops a=LegendreM
Fix plain sweep algorithm after creating some tests on proximity.
Co-authored-by: many <maxime@meilisearch.com>
190: Make bucket candidates optionals r=Kerollmops a=LegendreM
Before the bucket candidates were the result of the facet filters or result of the query tree.
They will now be only the result of the query tree, making the number of candidates more consistent between the same request with or without facet filters.
Fix some clippy warnings.
Fix#186
Co-authored-by: many <maxime@meilisearch.com>
