Kerollmops
3b64735058
Introduce a struct to compute facets values
2021-01-26 14:06:27 +01:00
mpostma
1ae761311e
integrate with meilisearch tokenizer
2021-01-07 16:14:27 +01:00
Clément Renault
ecc8bc8910
Introduce the FieldId u8 alias type
2020-12-02 11:19:45 +01:00
Clément Renault
96f64c629e
Move the UpdateStore out of the update module
2020-12-01 14:51:05 +01:00
Clément Renault
a0adfb5e8e
Introduce a real pest parser and support every facet filter conditions
2020-11-23 16:43:55 +01:00
Clément Renault
2341b99379
Support a basic facet based query system
2020-11-23 16:43:49 +01:00
Clément Renault
27f3ef5f7a
Use the new ExternalDocumentsIds struct in the engine
2020-11-22 19:27:34 +01:00
Clément Renault
415c0b86ba
Introduce the ExternalDocumentsIds struct
2020-11-22 19:27:33 +01:00
Clément Renault
a18d9a1f87
Parse and store the faceted fields
2020-11-13 16:13:51 +01:00
Clément Renault
466fb601d6
Faceted fields settings must specify the facet type
2020-11-13 11:46:48 +01:00
Clément Renault
e0058c1125
Introduce codecs for facet types (string, f64, u64, i64)
2020-11-11 15:48:24 +01:00
Clément Renault
4fb138c42e
Make sure we index all kind of JSON types
2020-11-06 16:35:07 +01:00
Clément Renault
c94bc59d7e
Introduce a function to transform an obk into a JSON
2020-11-05 13:57:29 +01:00
Clément Renault
f0d028d3a4
Update the Transform struct to support JSON updates
2020-10-31 20:52:49 +01:00
Clément Renault
3889d956d9
Introduce the UpdateBuilder and use it in the HTTP routes
2020-10-27 18:47:58 +01:00
Clément Renault
60347a5483
Move the AvailableDocumentsIds iterator into the update module
2020-10-26 10:53:23 +01:00
Clément Renault
b14cca2ad9
Introduce the UpdateBuilder type along with some update operations
2020-10-25 18:32:01 +01:00
Clément Renault
656a851830
Introduce the Transform struct transforming CSVs
...
This allows us to:
- transform a CSV, a JSON or a JSON lines data type into the same
Grenad x Obkv streamable data type and creates the new FieldsIdsMap.
- Extract all the documents user ids in advance to be able to delete
the existing documents before re-indexing them.
- Keep the last documents with the same user id avoiding duplicates
in the same request.
2020-10-24 13:37:38 +02:00
Clément Renault
8d82e37ec0
Introduce the AvailableDocumentsIds iterator
2020-10-23 12:07:01 +02:00
Clément Renault
566a7c3039
Make the FieldsIdsMap serialization more stable by using a BTreeMap
2020-10-22 14:53:20 +02:00
Clément Renault
9133f38138
Introduce the FieldsIdsMap type
2020-10-22 12:56:35 +02:00
Clément Renault
5caf523fd9
Move the Index to its own module
2020-10-21 15:55:48 +02:00
Clément Renault
a122d3d466
Export the indexing part into a module
2020-10-20 14:22:09 +02:00
Clément Renault
871222aebd
Introduce some new routes to handle live indexing
2020-10-19 16:06:43 +02:00
Clément Renault
65e32fecb1
Move the binaries into one with subcommands
2020-10-19 13:44:17 +02:00
Clément Renault
83c1db8763
Introduce the UpdateStore
2020-10-18 15:26:57 +02:00
Kerollmops
a00f5850ee
Add support for placeholder search for empty queries
2020-10-06 20:19:50 +02:00
Clément Renault
ce8e56ee18
Rewrite the indexer to use one MTBL by database
...
This allows us to avoid prefixing keys and appending into LMDB databases
2020-10-04 17:04:33 +02:00
Kerollmops
007e647462
Introduce the Mdfs Iterator that explore the proximity graph using a mana DFS
2020-10-02 16:46:07 +02:00
Kerollmops
d0c73564b1
Use the CboRoaringBitmapCodec for the word pair proximity docids
2020-10-02 16:46:06 +02:00
Kerollmops
4eda149ffa
Rename the BoRoaringBitmap codec
2020-10-02 16:46:06 +02:00
Clément Renault
bc35c9a598
Introduce the size_of_database infos subcommand
2020-10-02 16:46:05 +02:00
Clément Renault
d6fa9c0414
Index the intra documents word pair proximities
2020-09-22 14:04:33 +02:00
Clément Renault
e34437b2d7
Move the proximity function to a module
2020-09-22 10:54:59 +02:00
Kerollmops
5664c37539
Introduce an heed codec that reduce the size of small amount of serialized integers
2020-09-07 20:06:23 +02:00
Clément Renault
daa3673c1c
Invert the word docid positions key order
2020-09-06 10:30:53 +02:00
Clément Renault
dc88a86259
Store the word positions under the documents
2020-09-05 18:03:06 +02:00
Kerollmops
580ed1119a
Make the engine to return csv string records as documents and headers
2020-08-31 19:02:00 +02:00
Clément Renault
bad0663138
Come back to the old tokenizer
2020-08-31 13:34:38 +02:00
Clément Renault
ad5cafbfed
Introduce a database to store docids in groups of four positions
2020-08-29 17:42:55 +02:00
Clément Renault
3db517548d
Move the documents back into the LMDB database
2020-08-29 15:14:04 +02:00
Clément Renault
3fe497e129
Improve the Mtbl heed codec to only encode MTBL databases
2020-08-29 11:20:39 +02:00
Clément Renault
0a44ff86ab
Put the documents MTBL back into LMDB
...
We makes sure to write the documents into a file before
memory mapping it and putting it into LMDB, this way we avoid
moving it to RAM
2020-08-28 15:43:24 +02:00
Clément Renault
d784d87880
Remove the prefix LMDB databases
2020-08-28 14:41:43 +02:00
Clément Renault
7cde312f14
Introduce the StrBEU32Codec heed codec
2020-08-28 14:16:37 +02:00
Clément Renault
8806fcd545
Introduce a better query and document lexer
2020-08-16 14:36:54 +02:00
Clément Renault
1e358e3ae8
Introduce the AstarBagIter that iterates through best paths
2020-08-15 16:24:06 +02:00
Clément Renault
7dc594ba4d
Introduce the Search builder struct
2020-08-13 14:27:51 +02:00
Clément Renault
bfb46cbfbe
Introduce the Crtierion enum
2020-08-12 10:43:02 +02:00
Clément Renault
6d04a285dc
Retrieve and display the distances of the words found
2020-08-11 15:18:02 +02:00
