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>
187: Fix fields distribution after documents merge r=Kerollmops a=shekhirin
Resolves https://github.com/meilisearch/milli/issues/174
The problem was with calculation of fields distribution before the merge in `output_from_sorter()`. So if you'd import two documents with the same primary key value, fields distribution will count it as two documents, while `output_from_sorter()` will merge these documents into one.
---
```console
➜ Downloads cat short_movies.json
[
{"id":"47474","title":"The Serpent's Egg","poster":"https://image.tmdb.org/t/p/w500/n7z0doFkXHcvo8QQWHLFnkEPXRU.jpg","overview":"The Serpent's Egg follows a week in the life of Abel Rosenberg, an out-of-work American circus acrobat living in poverty-stricken Berlin following Germany's defeat in World War I.","release_date":246844800,"genres":["Thriller","Drama","Mystery"]},
{"id":"47474","title":"The Serpent's Egg","poster":"https://image.tmdb.org/t/p/w500/n7z0doFkXHcvo8QQWHLFnkEPXRU.jpg","overview":"The Serpent's Egg follows a week in the life of Abel Rosenberg, an out-of-work American circus acrobat living in poverty-stricken Berlin following Germany's defeat in World War I.","release_date":246844800,"genres":["Thriller","Drama","Mystery"]}
]
➜ Downloads curl -X POST -H "Content-Type: text/json" --data-binary @short_movies.json 127.0.0.1:7700/indexes/movies/documents
{"updateId":0}
```
## Before
```console
➜ Downloads curl -s 127.0.0.1:7700/indexes/movies/stats | jq
{
"numberOfDocuments": 1,
"isIndexing": false,
"fieldsDistribution": {
"release_date": 2,
"poster": 2,
"title": 2,
"overview": 2,
"genres": 2,
"id": 2
}
}
```
## After
```console
➜ Downloads curl -s 127.0.0.1:7700/indexes/movies/stats | jq
{
"numberOfDocuments": 1,
"isIndexing": false,
"fieldsDistribution": {
"poster": 1,
"release_date": 1,
"title": 1,
"genres": 1,
"id": 1,
"overview": 1
}
}
```
Co-authored-by: Alexey Shekhirin <a.shekhirin@gmail.com>
183: remove tests on main r=Kerollmops a=MarinPostma
remove testing on main since we now use bors for merging.
Co-authored-by: Marin Postma <postma.marin@protonmail.com>
