snowykami/meilisearch
1
0
Fork 0
mirror of https://github.com/meilisearch/meilisearch.git synced 2024-11-23 02:27:40 +08:00
Code Issues Actions 9 Packages Projects Releases Wiki Activity
9,880 Commits 165 Branches 386 Tags 80 MiB
72c6a21a30
Commit Graph

2502 Commits

Author SHA1 Message Date
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
Clément Renault
837c1041c7
Clear and delete the documents from the facet database 2021-05-25 11:28:36 +02:00
Clément Renault
a56c46b6f1
Explode the string and f64 facet databases into two 2021-05-25 11:28:36 +02:00
Clément Renault
df7a32e3d0
Move the creation date initialization into a function 2021-05-25 11:28:35 +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
Marin Postma
eeb0c70ea2
meilisearch compatible primary key inference 2021-05-06 22:42:32 +02:00
Marin Postma
313c362461
early return on empty document addition 2021-05-06 18:14:16 +02:00
Many
44b6843de7
Fix pull request reviews 
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
bors[bot]
25f75d4d03
Merge #189 
189: Update version for the next release (v0.2.1) r=Kerollmops a=curquiza



Co-authored-by: Clémentine Urquizar <clementine@meilisearch.com>
 2021-05-05 15:28:56 +00:00
Clémentine Urquizar
1e11578ef0
Update version for the next release (v0.2.1) 2021-05-05 14:57:34 +02:00
Alexey Shekhirin
f8d0f5265f
fix(update): fields distribution after documents merge 2021-05-04 22:12:20 +03:00
tamo
d61566787e
provide an iterator over all the documents in a milli index 2021-05-04 11:23:51 +02:00
Clémentine Urquizar
a8680887d8
Upgrade Milli version (v0.2.0) 2021-05-03 14:50:47 +02:00
Clémentine Urquizar
34e02aba42
Upgrade Tokenizer version (v0.2.2) 2021-05-03 10:55:55 +02:00
Alexey Shekhirin
d81c0e8bba
feat(update): disable autogenerate_docids by default 2021-04-30 21:41:34 +03:00
Marin Postma
e8e32e0ba1
make document addition number visible 2021-04-29 20:05:07 +02:00
many
ee09e50e7f
Remove excluded document in criteria iterations 
- 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 
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 
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 
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 
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 
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 
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 
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 
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 
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 
Co-authored-by: Irevoire <tamo@meilisearch.com>
 2021-04-27 14:39:53 +02:00
Many
0daa0e170a
Fix PR comments 
Co-authored-by: Clément Renault <clement@meilisearch.com>
 2021-04-27 14:39:53 +02:00
many
0d7d3ce802
Update roaring package 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 
* 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 
* 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
Kerollmops
e65bad16cc
Compute the words prefixes at the end of an update 2021-04-27 14:39:52 +02:00
many
ab92c814c3
Fix attributes score 2021-04-27 14:35:43 +02:00
Clément Renault
0ad9499b93
Fix an indexing bug in the words level positions 2021-04-27 14:35:43 +02:00
Clément Renault
7aa5753ed2
Make the attribute positions range bounds to be fixed 2021-04-27 14:35:43 +02:00
Clément Renault
658f316511
Introduce the Initial Criterion 2021-04-27 14:35:43 +02:00
Kerollmops
89ee2cf576
Introduce the TreeLevel struct 2021-04-27 14:25:35 +02:00
Kerollmops
bd1a371c62
Compute the WordsLevelPositions only once 2021-04-27 14:25:34 +02:00
Kerollmops
8bd4f5d93e
Compute the biggest values of the words_level_positions_docids 2021-04-27 14:25:34 +02:00
Kerollmops
f713828406
Implement the clear and delete documents for the word-level-positions database 2021-04-27 14:25:34 +02:00
Kerollmops
3069bf4f4a
Fix and improve the words-level-positions computation 2021-04-27 14:25:34 +02:00
Kerollmops
3a25137ee4
Expose and use the WordsLevelPositions update 2021-04-27 14:25:34 +02:00
Kerollmops
c765f277a3
Introduce the WordsLevelPositions update 2021-04-27 14:25:34 +02:00
Kerollmops
9242f2f1d4
Store the first word positions levels 2021-04-27 14:25:34 +02:00
Kerollmops
b0a417f342
Introduce the word_level_position_docids Index database 2021-04-27 14:25:34 +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
c9b2d3ae1a
Warn instead of returning an error when a conversion fails 2021-04-20 10:23:31 +02:00
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
Kerollmops
efbfa81fa7
Merge the Float and Integer enum variant into the Number one 2021-04-20 10:23:30 +02:00
Clémentine Urquizar
127d3d028e
Update version for the next release (v0.1.1) 2021-04-19 14:48:13 +02:00
Alexey Shekhirin
33860bc3b7
test(update, settings): set & reset synonyms 
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 
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
Clémentine Urquizar
2c5c79d68e
Update Tokenizer version to v0.2.1 2021-04-14 18:54:04 +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" 
This reverts commit 12fb509d84.
We revert this commit because it's causing the bug #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
Alexey Shekhirin
84c1dda39d
test(http): setting enum serialize/deserialize 2021-04-08 17:03:40 +03:00
Alexey Shekhirin
dc636d190d
refactor(http, update): introduce setting enum 2021-04-08 17:03:40 +03:00
tamo
0a4bde1f2f
update the default ordering of the criterion 2021-04-01 19:45:31 +02:00
Alexey Shekhirin
2658c5c545
feat(index): update fields distribution in clear & delete operations 
fixes after review

bump the version of the tokenizer

implement a first version of the stop_words

The front must provide a BTreeSet containing the stop words
The stop_words are set at None if an empty Set is provided
add the stop-words in the http-ui interface

Use maplit in the test
and remove all the useless drop(rtxn) at the end of all tests

Integrate the stop_words in the querytree

remove the stop_words from the querytree except if it was a prefix or a typo

more fixes after review
 2021-04-01 19:12:35 +03:00
Alexey Shekhirin
27c7ab6e00
feat(index): store fields distribution in index 2021-04-01 18:35:19 +03:00
tamo
12fb509d84
Integrate the stop_words in the querytree 
remove the stop_words from the querytree except if it was a prefix or a typo
 2021-04-01 13:57:55 +02:00
tamo
a2f46029c7
implement a first version of the stop_words 
The front must provide a BTreeSet containing the stop words
The stop_words are set at None if an empty Set is provided
add the stop-words in the http-ui interface

Use maplit in the test
and remove all the useless drop(rtxn) at the end of all tests
 2021-04-01 13:57:55 +02:00
tamo
62a8f1d707
bump the version of the tokenizer 2021-04-01 13:49:22 +02:00
Alexey Shekhirin
9205b640a4 feat(index): introduce fields_ids_distribution 2021-03-31 18:44:47 +03:00
Alexey Shekhirin
2cb32edaa9 fix(criterion): compile asc/desc regex only once 
use once_cell instead of lazy_static

reorder imports
 2021-03-30 16:07:14 +03:00
Alexey Shekhirin
1e3f05db8f use fixed number of candidates as a threshold 2021-03-30 11:57:10 +03:00
Alexey Shekhirin
a776ec9718 fix division 2021-03-29 19:16:58 +03:00
Alexey Shekhirin
522e79f2e0 feat(search, criteria): introduce a percentage threshold to the asc/desc 2021-03-29 19:08:31 +03:00
tamo
73dcdb27f6
select a specific release of the tokenizer instead of using the latests git commit 2021-03-25 15:00:18 +01:00
mpostma
9c27183876
fix broken offset 2021-03-15 20:23:50 +01:00
mpostma
f0210453a6
add updated at on put primary key 2021-03-15 14:05:48 +01:00
mpostma
615fe095e1
update index updated at on index writes 2021-03-15 14:05:47 +01:00
mpostma
80d0f9c49d
methods to update index time metadata 2021-03-15 14:05:47 +01:00
Kerollmops
d48008339e
Introduce two new optional_words and authorize_typos Search options 2021-03-10 11:16:30 +01:00
Kerollmops
54b97ed8e1
Update the fetcher comments 2021-03-10 10:56:26 +01:00
Kerollmops
d301859bbd
Introduce a special word_derivations function for Proximity 2021-03-10 10:42:53 +01:00
Kerollmops
facfb4b615
Fix the bucket candidates 2021-03-10 10:42:53 +01:00
Kerollmops
42fd7dea78
Remove the useless typo cache 2021-03-10 10:42:53 +01:00
many
62a70c300d
Optimize words criterion 2021-03-10 10:42:53 +01:00
Kerollmops
f51eb46c69
Use the RoaringBitmapLenCodec to retrieve the count of documents 2021-03-09 10:25:39 +01:00
Kerollmops
d781a6164a
Rewrite some code with idiomatic Rust 2021-03-08 16:27:52 +01:00
Clément Renault
b18ec00a7a
Add a logging_timer macro to te criterion next methods 2021-03-08 16:12:06 +01:00
Kerollmops
82a0f678fb
Introduce a cache on the docid_word_positions database method 2021-03-08 16:12:03 +01:00
Clément Renault
5fcaedb880
Introduce a WordDerivationsCache struct 2021-03-08 16:00:53 +01:00
many
2606c92ef9
use plain sweep in proximity criterion 2021-03-08 15:58:39 +01:00
many
ae47bb3594
Introduce plane_sweep function in proximity criterion 2021-03-08 15:58:38 +01:00
Kerollmops
636a9df177
Temporarily fix the tinytemplate doc hidden issue 2021-03-08 15:57:45 +01:00
Clément Renault
3c76b3548d
Rework the Asc/Desc criteria to be facet iterator based 2021-03-08 13:32:25 +01:00
Clément Renault
a58d2b6137
Print the Asc/Desc criterion field name in the debug prints 2021-03-08 13:32:25 +01:00
mpostma
e3095be85c
Remove Debug use in Display impl 2021-03-08 12:09:09 +01:00
mpostma
9e1eb25232
implement display for criterion 
Update milli/src/criterion.rs

Co-authored-by: Clément Renault <clement@meilisearch.com>
 2021-03-08 11:00:30 +01:00
Clément Renault
e5bb96bc3b
Fix the searchable settings test 2021-03-06 12:48:41 +01:00
Kerollmops
9b6b35d9b7
Clean up some comments 2021-03-03 18:19:10 +01:00
Kerollmops
2cc4a467a6
Change the criterion output that cannot fail 2021-03-03 18:18:33 +01:00
Kerollmops
1fc25148da
Remove useless where clauses for the criteria 2021-03-03 18:09:19 +01:00
Kerollmops
07784c8990
Tune the words prefixes threshold to compute for 1/1000 instead 2021-03-03 15:51:28 +01:00
Kerollmops
f376c6a728
Make sure we retrieve the docid word positions 2021-03-03 15:45:03 +01:00
Kerollmops
5c5e51095c
Fix the Asc/Desc criteria to alsways return the QueryTree when available 2021-03-03 15:45:03 +01:00
many
cdaa96df63
optimize proximity criterion 2021-03-03 15:45:03 +01:00
many
246286f0eb
take hard separator into account 2021-03-03 15:45:03 +01:00
Kerollmops
6bf6b40495
Remove unused files 2021-03-03 15:45:03 +01:00
Kerollmops
f118d7e067
build criteria from settings 2021-03-03 15:45:03 +01:00
Kerollmops
025835c5b2
Fix the criteria to avoid always returning a placeholder 2021-03-03 15:45:03 +01:00
Kerollmops
36c1f93ceb
Do an union of the bucket candidates 2021-03-03 15:45:03 +01:00
many
b0e0c5eba0
remove option of bucket_candidates 2021-03-03 15:45:03 +01:00
Kerollmops
daf126a638
Introduce the final Fetcher criterion 2021-03-03 15:45:03 +01:00
many
7ac09d7b7c
remove option of bucket_candidates 2021-03-03 15:45:03 +01:00
Kerollmops
5af63c74e0
Speed-up the MatchingWords highlighting struct 2021-03-03 15:45:03 +01:00
Kerollmops
4510bbccca
Add a lot of debug 2021-03-03 15:43:44 +01:00
Kerollmops
ae4a237e58
Fix the maximum_proximity function 2021-03-03 15:43:44 +01:00
Kerollmops
9bc9b36645
Introduce the Proximity criterion 2021-03-03 15:43:44 +01:00
Kerollmops
22b84fe543
Use the words criterion in the search module 2021-03-03 15:43:44 +01:00
many
3d731cc861
remove option on bucket_candidates 2021-03-03 15:43:44 +01:00
Clément Renault
14f9f85c4b
Introduce the AscDesc criterion 2021-03-03 15:43:44 +01:00
many
b5b7ec0162
implement initial state for words criterion 2021-03-03 15:43:44 +01:00
Kerollmops
3415812b06
Imrpove the intersection speed in the words criterion 2021-03-03 15:43:43 +01:00
Clément Renault
ef381e17bb
Compute the candidates for each sub query tree 2021-03-03 15:43:43 +01:00
Kerollmops
e174ccbd8e
Use the words criterion in the search module 2021-03-03 15:43:43 +01:00
Clément Renault
1e47f9b3ff
Introduce the Words criterion 2021-03-03 15:43:43 +01:00
many
2d068bd45b
implement Context trait for criteria 2021-03-03 15:43:43 +01:00
many
d92ad5640a
remove option on bucket_candidates 2021-03-03 15:43:43 +01:00
many
64688b3786
fix query tree builder 2021-03-03 15:43:43 +01:00
many
fb7e6df790
add tests on typo criterion 2021-03-03 15:43:43 +01:00
Kerollmops
c5a32fd4fa
Fix the typo criterion 2021-03-03 15:43:42 +01:00
many
a273c46559
clean warnings 2021-03-03 15:43:42 +01:00
many
9e093d5ff3
add cache on alterate_query_tree function 2021-03-03 15:43:42 +01:00
many
41fc51ebcf
optimize alterate_query_tree when number_typos is zero 2021-03-03 15:43:42 +01:00
many
4da6e1ea9c
add cache in typo criterion 2021-03-03 15:43:42 +01:00
Kerollmops
67c71130df
Reduce the number of calls to alterate_query_tree 2021-03-03 15:43:42 +01:00
many
9ccaea2afc
simplify criterion context 2021-03-03 15:43:42 +01:00
Clément Renault
fea9ffc46a
Use the bucket candidates in the search module 2021-03-03 15:43:42 +01:00
Clément Renault
229130ed25
Correctly compute the bucket candidates for the Typo criterion 2021-03-03 15:43:42 +01:00
Clément Renault
5344abc008
Introduce the CriterionResult return type 2021-03-03 15:43:41 +01:00
many
86bcecf840
change variable's name from distance to proximity 2021-03-03 15:43:41 +01:00
many
4128bdc859
reduce match possibilities in docids fetchers 2021-03-03 15:43:41 +01:00
many
907482c8ac
clean docids fetchers 2021-03-03 15:43:41 +01:00
many
774a255f2e
use prefix cache in criteria 2021-03-03 15:43:41 +01:00
many
98e69e63d2
implement Context trait for criteria 2021-03-03 15:43:41 +01:00
Clément Renault
f091f370d0
Use the Typo criteria in the search module 2021-03-03 15:43:41 +01:00
Clément Renault
ad20d72a39
Introduce the Typo criterion 2021-03-03 15:43:41 +01:00
Clément Renault
f0ddea821c
Introduce the Typo criterion 2021-03-03 15:43:41 +01:00
many
73286dc8bf
Introduce the query tree data structure 2021-03-03 15:43:40 +01:00
Kerollmops
240b02e175
Remove unused Operation constructors 2021-03-03 13:40:19 +01:00
many
a463ae821e
Add methods optional_words and authorize_typos on the query tree 2021-03-03 13:40:19 +01:00
Kerollmops
6d135beb21
Introduce the maximum_proximity helper function 2021-03-03 13:40:18 +01:00
Kerollmops
6008f528d0
Introduce the maximum_typo helper function 2021-03-03 13:40:18 +01:00
Kerollmops
1dc857a4b2
Fix the query tree optional word generation with phrases 2021-03-03 13:40:18 +01:00
Kerollmops
4f19749252
Introduce the word_documents_count method on the Context trait 2021-03-03 13:40:18 +01:00
Kerollmops
79a143b32f
Introduce the query tree data structure 2021-03-03 13:40:18 +01:00
mpostma
e08b6b3ec7
add primary key to fields_id_map when not present 2021-03-01 16:10:16 +01:00
Clément Renault
c318373b88
Expose the WordsPrefixes update on the UpdateBuilder 2021-02-21 12:15:35 +01:00
Kerollmops
519b1cb5c9
Update dependencies 2021-02-21 10:26:04 +01:00
Kerollmops
c2ffcc4bd1
Return an heed error from the word_documents_count method 2021-02-18 14:59:37 +01:00
Kerollmops
2f561c77f5
Introduce the word documents count method on the index 2021-02-18 14:35:14 +01:00
Kerollmops
8d710c5130
Introduce heed codecs to retrieve the length of roaring bitmaps 2021-02-18 14:30:47 +01:00
Kerollmops
fcfb39c5de
Move the RoaringBitmap related codecs into a module 2021-02-18 13:56:28 +01:00
Kerollmops
a4a48be923
Run the words prefixes update inside of the indexing documents update 2021-02-17 11:22:26 +01:00
Kerollmops
616ed8f73c
Clean up the word prefix pair proximities when deleting documents 2021-02-17 11:22:26 +01:00
Clément Renault
ea37fd821d
Clean up the words prefixes when deleting documents and words 2021-02-17 11:22:25 +01:00
Clément Renault
62eee9c69e
Introduce the sorter_into_lmdb_database helper function 2021-02-17 11:12:39 +01:00
Clément Renault
b5b89990eb
Compute and write the word prefix pair proximities database 2021-02-17 11:12:38 +01:00
Kerollmops
9b03b0a1b2
Introduce the word prefix pair proximity docids database 2021-02-17 11:12:38 +01:00
Clément Renault
f365de636f
Compute and write the word-prefix-docids database 2021-02-17 11:12:38 +01:00
Clément Renault
ee5a60e1c5
Clear the words prefixes when clearing an index 2021-02-17 10:45:17 +01:00
Clément Renault
b3a21d5a50
Introduce the getters and setters for the words prefixes FST 2021-02-17 10:45:17 +01:00
Clément Renault
89ce4e74fe
Do not change the primary key type when we serialize documents 2021-02-15 21:24:36 +01:00
Clément Renault
69acdd437e
Deserialize documents ids into JSON Values on deletion 2021-02-15 21:24:36 +01:00
Clément Renault
b3776598d8
Add a test to check deletion of documents with number as primary key 2021-02-15 21:24:35 +01:00
Clément Renault
fecf3d6fc1
Move the command lines helpers into different crates 2021-02-14 18:55:15 +01:00
Clément Renault
d8f3421608
Update the dependencies and remove the unused ones 2021-02-14 18:32:46 +01:00
Clément Renault
e8639517da
Change the project to become a workspace with milli as a default-member 2021-02-12 16:15:09 +01:00