Kerollmops
8c86348119
Indexing the facet strings levels
2021-07-21 16:59:38 +02:00
Kerollmops
a7ae552ba7
Fix the FacetStringLevelZeroRange range when unbounded
2021-07-21 16:59:38 +02:00
Kerollmops
757b2b502a
Remove the FacetValueStringCodec
2021-07-21 16:59:38 +02:00
Kerollmops
adfd4da24c
Introduce the FacetStringIter iterator
2021-07-21 16:59:38 +02:00
Kerollmops
a79661c6dc
Introduce a lot of facet string helper iterators
2021-07-21 16:59:38 +02:00
Kerollmops
851f979039
Describe the way we want to group the facet strings
2021-07-21 16:59:38 +02:00
Kerollmops
f858f64b1f
Move the facet number iterators into their own module
2021-07-21 16:59:37 +02:00
Kerollmops
838ed1cd32
Use an u16 field id instead of one byte
2021-07-06 11:58:03 +02:00
many
9f62149b94
Fix matching lenghth in matching_words
2021-07-01 19:03:28 +02:00
Kerollmops
32b7bd366f
Remove the roaring operation functions warnings
2021-06-30 14:12:56 +02:00
Irevoire
6044b80362
Update milli/src/search/matching_words.rs
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Co-authored-by: Clément Renault <renault.cle@gmail.com>
2021-06-30 00:35:26 +02:00
Tamo
be75e738b1
add more tests
2021-06-29 16:24:58 +02:00
Tamo
56fceb1928
re-implement the Damerau-Levenshtein used for the highlighting
2021-06-29 15:36:03 +02:00
Kerollmops
a6218a20ae
Introduce a new InvalidFacetsDistribution user error
2021-06-23 13:56:19 +02:00
Kerollmops
2364777838
Return an error for when a field distribution cannot be done
2021-06-23 11:50:49 +02:00
Kerollmops
aeaac743ff
Replace an if let some by a match
2021-06-23 11:33:30 +02:00
Tamo
3d90b03d7b
fix the limit
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There was no check on the limit and thus, if a user especified a very large number this line could causes a panic
2021-06-22 14:52:13 +02:00
Tamo
9716fb3b36
format the whole project
2021-06-16 18:33:33 +02:00
Kerollmops
7ac441e473
Fix small typos
2021-06-16 11:03:37 +02:00
Kerollmops
adf0c389c5
Rename FilterParsing into InvalidFilter
2021-06-16 11:03:36 +02:00
Kerollmops
8cfe3e1ec0
Rename DatabaseSizeReached into MaxDatabaseSizeReached
2021-06-16 11:03:36 +02:00
Kerollmops
a7d6930905
Replace the panicking expect by tracked Errors
2021-06-15 11:51:32 +02:00
Kerollmops
f0e804afd5
Rename the FieldIdMapMissingEntry from_db_name field into process
2021-06-15 11:13:04 +02:00
Kerollmops
312c2d1d8e
Use the Error enum everywhere in the project
2021-06-14 16:58:38 +02:00
Many
f4cab080a6
Update milli/src/search/query_tree.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com>
2021-06-10 11:30:51 +02:00
Many
36715f571c
Update milli/src/search/criteria/proximity.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com>
2021-06-10 11:30:33 +02:00
many
e923a3ed6a
Replace Consecutive by Phrase in query tree
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Replace Consecutive by Phrase in query tree in order to remove theorical bugs,
due of the Consecutive enum type.
2021-06-10 11:16:16 +02:00
Many
faf148d297
Update milli/src/search/query_tree.rs
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Co-authored-by: Clément Renault <clement@meilisearch.com>
2021-06-08 17:52:37 +02:00
many
b489d699ce
Make hard separators split phrase query
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hard separators will now split a phrase query as double double-quotes
Fix #208
2021-06-08 17:29:38 +02:00
many
26a9974667
Make asc/desc criterion return resting documents
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Fix #161.2
2021-06-02 17:41:48 +02:00
Kerollmops
3c304c89d4
Make sure that we generate the faceted database when required
2021-06-02 16:24:58 +02:00
Kerollmops
3b1cd4c4b4
Rename the FacetCondition into FilterCondition
2021-06-02 16:24:58 +02:00
Kerollmops
c2afdbb1fb
Move and comment some internal facet_condition helper functions
2021-06-02 16:24:58 +02:00
Marin Postma
1e366dae3e
remove useless lifetime on Distinct Trait
2021-06-02 16:24:58 +02:00
Kerollmops
187c713de5
Remove the MapDistinct struct as now distinct attributes are faceted
2021-06-02 16:24:57 +02:00
Kerollmops
2a3f9b32ff
Rename the faceted fields into filterable fields
2021-06-02 16:24:57 +02:00
bors[bot]
270da98c46
Merge #202
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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 #165
Fix #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>
2021-06-01 16:09:48 +00:00
many
e857ca4d7d
Fix PR comments
2021-06-01 18:06:46 +02:00
many
225ae6fd25
Resolve PR comments
2021-06-01 11:53:09 +02:00
many
1df68d342a
Make the MatchingWords return the number of matching bytes
2021-05-31 18:22:29 +02:00
many
c701f8bf36
Use field id word count database in exactness criterion
2021-05-31 16:27:28 +02:00
bors[bot]
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
Kerollmops
1c0a5cd136
Resolve code modification suggestions
2021-05-31 15:22:50 +02:00
many
a5e98cf46d
Fix plane sweep algorithm
2021-05-25 18:21:55 +02:00
Clément Renault
3a4a150ef0
Fix the tests and remaining warnings
2021-05-25 11:31:06 +02:00
Clément Renault
02c655ff1a
Refine the facet distribution to use both databases
2021-05-25 11:30:00 +02:00
Clément Renault
79efded841
Refine the FacetCondition from_array constructor
2021-05-25 11:30:00 +02:00
Clément Renault
f7efde11d9
Refine the facet condition to use both facet databases
2021-05-25 11:30:00 +02:00
Clément Renault
e62b89a2ed
Make the facet distinct work with the new split facets
2021-05-25 11:30:00 +02:00
Clément Renault
bd7b285bae
Split the update side to use the number and the strings facet databases
2021-05-25 11:30:00 +02:00
Clément Renault
038e03a4e4
Use both facet databases in the FacetIter type
2021-05-25 11:30:00 +02:00
Clément Renault
597144b0b9
Use both number and string facet databases in the distinct system
2021-05-25 11:29:59 +02:00
many
a3944a7083
Introduce a filtered_candidates field
2021-05-11 11:37:40 +02:00
many
efba662ca6
Fix clippy warnings in cirteria
2021-05-10 10:27:18 +02:00
many
e923d51b8f
Make bucket candidates optionals
2021-05-10 10:27:04 +02:00
Many
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
many
c1ce4e4ca9
Introduce mocked ExactAttribute step in exactness criterion
2021-05-06 14:28:31 +02:00
many
a3f8686fbf
Introduce exactness criterion
2021-05-06 14:28:30 +02:00
many
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
many
31607bf9cd
Add a threshold on proximity when choosing between linear/set algorithm
2021-04-28 14:57:22 +02:00
many
3b7e6afb55
Make some refacto and add documentation
2021-04-28 13:53:27 +02:00
Many
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
Many
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
Many
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
Many
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
Many
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
Many
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
Many
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
Many
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
Many
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
Many
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
Many
0daa0e170a
Fix PR comments
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Co-authored-by: Clément Renault <clement@meilisearch.com>
2021-04-27 14:39:53 +02:00
many
71740805a7
Fix forgotten typo tests
2021-04-27 14:39:53 +02:00
many
e77291a6f3
Optimize Atrribute criterion on big requests
2021-04-27 14:39:53 +02:00
many
716c8e22b0
Add style and comments
2021-04-27 14:39:52 +02:00
many
f853790016
Use the LCM of 10 first numbers to compute attribute rank
2021-04-27 14:39:52 +02:00
many
2b036449be
Fix the return of equal candidates in different pages
2021-04-27 14:39:52 +02:00
many
0efa011e09
Make a small code clean-up
2021-04-27 14:39:52 +02:00
many
17c8c6f945
Make set algorithm return None when nothing can be returned
2021-04-27 14:39:52 +02:00
many
b3e2280bb9
Debug attribute criterion
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* debug folding when initializing iterators
2021-04-27 14:39:52 +02:00
many
1eee0029a8
Make attribute criterion typo/prefix tolerant
2021-04-27 14:39:52 +02:00
many
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
Clément Renault
361193099f
Reduce the amount of branches when query tree flattened
2021-04-27 14:39:52 +02:00
many
ab92c814c3
Fix attributes score
2021-04-27 14:35:43 +02:00
Clément Renault
658f316511
Introduce the Initial Criterion
2021-04-27 14:35:43 +02:00
many
75e7b1e3da
Implement test Context methods
2021-04-27 14:25:34 +02:00
many
4ff67ec2ee
Implement attribute criterion for small amounts of candidates
2021-04-27 14:25:34 +02:00
Kerollmops
0f4c0beffd
Introduce the Attribute criterion
2021-04-27 14:25:34 +02:00
tamo
f8dee1b402
[makes clippy happy] search/criteria/proximity.rs
2021-04-21 12:36:45 +02:00
Alexey Shekhirin
6fa00c61d2
feat(search): support words_limit
2021-04-20 12:22:04 +03:00
Kerollmops
2aeef09316
Remove debug logs while iterating through the facet levels
2021-04-20 10:23:31 +02:00
Kerollmops
51767725b2
Simplify integer and float functions trait bounds
2021-04-20 10:23:31 +02:00
Alexey Shekhirin
33860bc3b7
test(update, settings): set & reset synonyms
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fixes after review
more fixes after review
2021-04-18 11:24:17 +03:00
Alexey Shekhirin
e39aabbfe6
feat(search, update): synonyms
2021-04-18 11:24:17 +03:00
Marin Postma
9c4660d3d6
add tests
2021-04-15 16:25:56 +02:00
Marin Postma
75464a1baa
review fixes
2021-04-15 16:25:56 +02:00
Marin Postma
2f73fa55ae
add documentation
2021-04-15 16:25:55 +02:00
Marin Postma
45c45e11dd
implement distinct attribute
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distinct can return error
facet distinct on numbers
return distinct error
review fixes
make get_facet_value more generic
fixes
2021-04-15 16:25:55 +02:00
tamo
dcb00b2e54
test a new implementation of the stop_words
2021-04-12 18:35:33 +02:00
tamo
da036dcc3e
Revert "Integrate the stop_words in the querytree"
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This reverts commit 12fb509d84#150 .
The initial algorithm we implemented for the stop_words was:
1. remove the stop_words from the dataset
2. keep the stop_words in the query to see if we can generate new words by
integrating typos or if the word was a prefix
=> This was causing the bug since, in the case of “The hobbit”, we were
**always** looking for something starting with “t he” or “th e”
instead of ignoring the word completely.
For now we are going to fix the bug by completely ignoring the
stop_words in the query.
This could cause another problem were someone mistyped a normal word and
ended up typing a stop_word.
For example imagine someone searching for the music “Won't he do it”.
If that person misplace one space and write “Won' the do it” then we
will loose a part of the request.
One fix would be to update our query tree to something like that:
---------------------
OR
OR
TOLERANT hobbit # the first option is to ignore the stop_word
AND
CONSECUTIVE # the second option is to do as we are doing
EXACT t # currently
EXACT he
TOLERANT hobbit
---------------------
This would increase drastically the size of our query tree on request
with a lot of stop_words. For example think of “The Lord Of The Rings”.
For now whatsoever we decided we were going to ignore this problem and consider
that it doesn't reduce too much the relevancy of the search to do that
while it improves the performances.
2021-04-12 18:35:33 +02:00
