c701f8bf36
Use field id word count database in exactness criterion
2021-05-31 16:27:28 +02:00
2f5e61bacb
Merge #184
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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.mdFixes #192 .
Co-authored-by: Clément Renault <clement@meilisearch.com >
Co-authored-by: Kerollmops <clement@meilisearch.com >
2021-05-31 13:32:58 +00:00
1c0a5cd136
Resolve code modification suggestions
2021-05-31 15:22:50 +02:00
a5e98cf46d
Fix plane sweep algorithm
2021-05-25 18:21:55 +02:00
3a4a150ef0
Fix the tests and remaining warnings
2021-05-25 11:31:06 +02:00
02c655ff1a
Refine the facet distribution to use both databases
2021-05-25 11:30:00 +02:00
79efded841
Refine the FacetCondition from_array constructor
2021-05-25 11:30:00 +02:00
f7efde11d9
Refine the facet condition to use both facet databases
2021-05-25 11:30:00 +02:00
e62b89a2ed
Make the facet distinct work with the new split facets
2021-05-25 11:30:00 +02:00
bd7b285bae
Split the update side to use the number and the strings facet databases
2021-05-25 11:30:00 +02:00
038e03a4e4
Use both facet databases in the FacetIter type
2021-05-25 11:30:00 +02:00
597144b0b9
Use both number and string facet databases in the distinct system
2021-05-25 11:29:59 +02:00
a3944a7083
Introduce a filtered_candidates field
2021-05-11 11:37:40 +02:00
efba662ca6
Fix clippy warnings in cirteria
2021-05-10 10:27:18 +02:00
e923d51b8f
Make bucket candidates optionals
2021-05-10 10:27:04 +02:00
44b6843de7
Fix pull request reviews
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Update milli/src/fields_ids_map.rs
Update milli/src/search/criteria/exactness.rs
Update milli/src/search/criteria/mod.rs
2021-05-06 14:31:03 +02:00
c1ce4e4ca9
Introduce mocked ExactAttribute step in exactness criterion
2021-05-06 14:28:31 +02:00
a3f8686fbf
Introduce exactness criterion
2021-05-06 14:28:30 +02:00
ee09e50e7f
Remove excluded document in criteria iterations
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- pass excluded document to criteria to remove them in higher levels of the bucket-sort
- merge already returned document with excluded documents to avoid duplicas
Related to #125 and #112
Fix #170
2021-04-29 12:09:38 +02:00
31607bf9cd
Add a threshold on proximity when choosing between linear/set algorithm
2021-04-28 14:57:22 +02:00
3b7e6afb55
Make some refacto and add documentation
2021-04-28 13:53:27 +02:00
0add4d735c
Update milli/src/search/criteria/attribute.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com >
2021-04-27 17:40:34 +02:00
3794ffc952
Update milli/src/search/criteria/attribute.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com >
2021-04-27 17:39:23 +02:00
329bd4a1bb
Update milli/src/search/criteria/attribute.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com >
2021-04-27 17:39:03 +02:00
3b1358b62f
Update milli/src/search/criteria/attribute.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com >
2021-04-27 17:32:19 +02:00
c862b1bc6b
Update milli/src/search/criteria/attribute.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com >
2021-04-27 17:32:10 +02:00
e92d137676
Update milli/src/search/criteria/attribute.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com >
2021-04-27 17:31:42 +02:00
b3d6c6a9a0
Update milli/src/search/criteria/attribute.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com >
2021-04-27 17:31:13 +02:00
498c2b298c
Update milli/src/search/criteria/attribute.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com >
2021-04-27 17:30:02 +02:00
0e4e6dfada
Update milli/src/search/criteria/proximity.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com >
2021-04-27 17:29:52 +02:00
47d780b8ce
Update milli/src/search/criteria/mod.rs
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Co-authored-by: Irevoire <tamo@meilisearch.com >
2021-04-27 14:39:53 +02:00
0daa0e170a
Fix PR comments
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Co-authored-by: Clément Renault <clement@meilisearch.com >
2021-04-27 14:39:53 +02:00
71740805a7
Fix forgotten typo tests
2021-04-27 14:39:53 +02:00
e77291a6f3
Optimize Atrribute criterion on big requests
2021-04-27 14:39:53 +02:00
716c8e22b0
Add style and comments
2021-04-27 14:39:52 +02:00
f853790016
Use the LCM of 10 first numbers to compute attribute rank
2021-04-27 14:39:52 +02:00
2b036449be
Fix the return of equal candidates in different pages
2021-04-27 14:39:52 +02:00
0efa011e09
Make a small code clean-up
2021-04-27 14:39:52 +02:00
17c8c6f945
Make set algorithm return None when nothing can be returned
2021-04-27 14:39:52 +02:00
b3e2280bb9
Debug attribute criterion
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* debug folding when initializing iterators
2021-04-27 14:39:52 +02:00
1eee0029a8
Make attribute criterion typo/prefix tolerant
2021-04-27 14:39:52 +02:00
59f58c15f7
Implement attribute criterion
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* Implement WordLevelIterator
* Implement QueryLevelIterator
* Implement set algorithm based on iterators
Not tested + Some TODO to fix
2021-04-27 14:39:52 +02:00
361193099f
Reduce the amount of branches when query tree flattened
2021-04-27 14:39:52 +02:00
ab92c814c3
Fix attributes score
2021-04-27 14:35:43 +02:00
658f316511
Introduce the Initial Criterion
2021-04-27 14:35:43 +02:00
75e7b1e3da
Implement test Context methods
2021-04-27 14:25:34 +02:00
4ff67ec2ee
Implement attribute criterion for small amounts of candidates
2021-04-27 14:25:34 +02:00
0f4c0beffd
Introduce the Attribute criterion
2021-04-27 14:25:34 +02:00
f8dee1b402
[makes clippy happy] search/criteria/proximity.rs
2021-04-21 12:36:45 +02:00
6fa00c61d2
feat(search): support words_limit
2021-04-20 12:22:04 +03:00
