Commit Graph

967 Commits

Author SHA1 Message Date
Loïc Lecrenier
93252769af Apply review suggestions 2022-08-17 12:41:22 +02:00
Loïc Lecrenier
78d9f0622d cargo fmt 2022-08-17 12:21:24 +02:00
Loïc Lecrenier
4f9edf13d7 Remove commented-out function 2022-08-17 12:21:24 +02:00
Loïc Lecrenier
405555b401 Add some documentation to PrefixTrieNode 2022-08-17 12:21:24 +02:00
Loïc Lecrenier
1bc4788e59 Remove cached Allocations struct from wpppd indexing 2022-08-17 12:18:22 +02:00
Loïc Lecrenier
ef75a77464 Fix undefined behaviour caused by reusing key from the database
New full snapshot:
---
source: milli/src/update/word_prefix_pair_proximity_docids.rs
---
5                a    1  [101, ]
5                a    2  [101, ]
5                am   1  [101, ]
5                b    4  [101, ]
5                be   4  [101, ]
am               a    3  [101, ]
amazing          a    1  [100, ]
amazing          a    2  [100, ]
amazing          a    3  [100, ]
amazing          an   1  [100, ]
amazing          an   2  [100, ]
amazing          b    2  [100, ]
amazing          be   2  [100, ]
an               a    1  [100, ]
an               a    2  [100, 202, ]
an               am   1  [100, ]
an               an   2  [100, ]
an               b    3  [100, ]
an               be   3  [100, ]
and              a    2  [100, ]
and              a    3  [100, ]
and              a    4  [100, ]
and              am   2  [100, ]
and              an   3  [100, ]
and              b    1  [100, ]
and              be   1  [100, ]
at               a    1  [100, 202, ]
at               a    2  [100, 101, ]
at               a    3  [100, ]
at               am   2  [100, 101, ]
at               an   1  [100, 202, ]
at               an   3  [100, ]
at               b    3  [101, ]
at               b    4  [100, ]
at               be   3  [101, ]
at               be   4  [100, ]
beautiful        a    2  [100, ]
beautiful        a    3  [100, ]
beautiful        a    4  [100, ]
beautiful        am   3  [100, ]
beautiful        an   2  [100, ]
beautiful        an   4  [100, ]
bell             a    2  [101, ]
bell             a    4  [101, ]
bell             am   4  [101, ]
extraordinary    a    2  [202, ]
extraordinary    a    3  [202, ]
extraordinary    an   2  [202, ]
house            a    3  [100, 202, ]
house            a    4  [100, 202, ]
house            am   4  [100, ]
house            an   3  [100, 202, ]
house            b    2  [100, ]
house            be   2  [100, ]
rings            a    1  [101, ]
rings            a    3  [101, ]
rings            am   3  [101, ]
rings            b    2  [101, ]
rings            be   2  [101, ]
the              a    3  [101, ]
the              b    1  [101, ]
the              be   1  [101, ]
2022-08-17 12:17:45 +02:00
Loïc Lecrenier
7309111433 Don't run block code in doc tests of word_pair_proximity_docids 2022-08-17 12:17:18 +02:00
Loïc Lecrenier
f6f8f543e1 Run cargo fmt 2022-08-17 12:17:18 +02:00
Loïc Lecrenier
34c991ea02 Add newlines in documentation of word_prefix_pair_proximity_docids 2022-08-17 12:17:18 +02:00
Loïc Lecrenier
06f3fd8c6d Add more comments to WordPrefixPairProximityDocids::execute 2022-08-17 12:17:18 +02:00
Loïc Lecrenier
474500362c Update wpppd snapshots
New snapshot (yes, it's wrong as well, it will get fixed later):

---
source: milli/src/update/word_prefix_pair_proximity_docids.rs
---
5                a    1  [101, ]
5                a    2  [101, ]
5                am   1  [101, ]
5                b    4  [101, ]
5                be   4  [101, ]
am               a    3  [101, ]
amazing          a    1  [100, ]
amazing          a    2  [100, ]
amazing          a    3  [100, ]
amazing          an   1  [100, ]
amazing          an   2  [100, ]
amazing          b    2  [100, ]
amazing          be   2  [100, ]
an               a    1  [100, ]
an               a    2  [100, 202, ]
an               am   1  [100, ]
an               b    3  [100, ]
an               be   3  [100, ]
and              a    2  [100, ]
and              a    3  [100, ]
and              a    4  [100, ]
and              b    1  [100, ]
and              be   1  [100, ]
                 d\0  0  [100, 202, ]
an               an   2  [100, ]
and              am   2  [100, ]
and              an   3  [100, ]
at               a    2  [100, 101, ]
at               a    3  [100, ]
at               am   2  [100, 101, ]
at               an   1  [100, 202, ]
at               an   3  [100, ]
at               b    3  [101, ]
at               b    4  [100, ]
at               be   3  [101, ]
at               be   4  [100, ]
beautiful        a    2  [100, ]
beautiful        a    3  [100, ]
beautiful        a    4  [100, ]
beautiful        am   3  [100, ]
beautiful        an   2  [100, ]
beautiful        an   4  [100, ]
bell             a    2  [101, ]
bell             a    4  [101, ]
bell             am   4  [101, ]
extraordinary    a    2  [202, ]
extraordinary    a    3  [202, ]
extraordinary    an   2  [202, ]
house            a    4  [100, 202, ]
house            a    4  [100, ]
house            am   4  [100, ]
house            an   3  [100, 202, ]
house            b    2  [100, ]
house            be   2  [100, ]
rings            a    1  [101, ]
rings            a    3  [101, ]
rings            am   3  [101, ]
rings            b    2  [101, ]
rings            be   2  [101, ]
the              a    3  [101, ]
the              b    1  [101, ]
the              be   1  [101, ]
2022-08-17 12:17:18 +02:00
Loïc Lecrenier
ea4a96761c Move content of readme for WordPrefixPairProximityDocids into the code 2022-08-17 12:05:37 +02:00
Loïc Lecrenier
220921628b Simplify and document WordPrefixPairProximityDocIds::execute 2022-08-17 11:59:19 +02:00
Loïc Lecrenier
044356d221 Optimise WordPrefixPairProximityDocIds merge operation 2022-08-17 11:59:18 +02:00
Loïc Lecrenier
d350114159 Add tests for WordPrefixPairProximityDocIds 2022-08-17 11:59:15 +02:00
Loïc Lecrenier
86807ca848 Refactor word prefix pair proximity indexation further 2022-08-17 11:59:13 +02:00
Loïc Lecrenier
306593144d Refactor word prefix pair proximity indexation 2022-08-17 11:59:00 +02:00
Loïc Lecrenier
dea00311b6 Add type annotations to remove compiler error 2022-08-16 09:19:30 +02:00
Loïc Lecrenier
6f49126223 Fix db_snap macro with inline parameter 2022-08-10 15:55:22 +02:00
Loïc Lecrenier
12920f2a4f Fix paths of snapshot tests 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
4b7fd4dfae Update insta version 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
ce560fdcb5 Add documentation for db_snap! 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
748bb86b5b cargo fmt 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
051f24f674 Switch to snapshot tests for search/matches/mod.rs 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
d2e01528a6 Switch to snapshot tests for search/criteria/typo.rs 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
a9c7d82693 Switch to snapshot tests for search/criteria/attribute.rs 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
4bba2f41d7 Switch to snapshot tests for query_tree.rs 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
8ac24d3114 Cargo fmt + fix compiler warnings/error 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
6066256689 Add snapshot tests for indexing of word_prefix_pair_proximity_docids 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
3a734af159 Add snapshot tests for Facets::execute 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
b9907997e4 Remove old snapshot tests code 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
ef889ade5d Refactor snapshot tests 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
334098a7e0 Add index snapshot test helper function 2022-08-10 15:53:46 +02:00
Loïc Lecrenier
58cb1c1bda Simplify unit tests in facet/filter.rs 2022-08-04 12:03:44 +02:00
Loïc Lecrenier
acff17fb88 Simplify indexing tests 2022-08-04 12:03:13 +02:00
bors[bot]
21284cf235
Merge #556
556: Add EXISTS filter r=loiclec a=loiclec

## What does this PR do?

Fixes issue [#2484](https://github.com/meilisearch/meilisearch/issues/2484) in the meilisearch repo.

It creates a `field EXISTS` filter which selects all documents containing the `field` key. 
For example, with the following documents:
```json
[{
	"id": 0,
	"colour": []
},
{
	"id": 1,
	"colour": ["blue", "green"]
},
{
	"id": 2,
	"colour": 145238
},
{
	"id": 3,
	"colour": null
},
{
	"id": 4,
	"colour": {
		"green": []
	}
},
{
	"id": 5,
	"colour": {}
},
{
	"id": 6
}]
```
Then the filter `colour EXISTS` selects the ids `[0, 1, 2, 3, 4, 5]`. The filter `colour NOT EXISTS` selects `[6]`.

## Details
There is a new database named `facet-id-exists-docids`. Its keys are field ids and its values are bitmaps of all the document ids where the corresponding field exists.

To create this database, the indexing part of milli had to be adapted. The implementation there is basically copy/pasted from the code handling the `facet-id-f64-docids` database, with appropriate modifications in place.

There was an issue involving the flattening of documents during (re)indexing. Previously, the following JSON:
```json
{
    "id": 0,
    "colour": [],
    "size": {}
}
```
would be flattened to:
```json
{
    "id": 0
}
```
prior to being given to the extraction pipeline.

This transformation would lose the information that is needed to populate the `facet-id-exists-docids` database. Therefore, I have also changed the implementation of the `flatten-serde-json` crate. Now, as it traverses the Json, it keeps track of which key was encountered. Then, at the end, if a previously encountered key is not present in the flattened object, it adds that key to the object with an empty array as value. For example:
```json
{
    "id": 0,
    "colour": {
        "green": [],
        "blue": 1
    },
    "size": {}
} 
```
becomes
```json
{
    "id": 0,
    "colour": [],
    "colour.green": [],
    "colour.blue": 1,
    "size": []
} 
```


Co-authored-by: Kerollmops <clement@meilisearch.com>
2022-08-04 09:46:06 +00:00
bors[bot]
50f6524ff2
Merge #579
579: Stop reindexing already indexed documents r=ManyTheFish a=irevoire

```
 % ./compare.sh indexing_stop-reindexing-unchanged-documents_cb5a1669.json indexing_main_eeba1960.json
group                                                                     indexing_main_eeba1960                 indexing_stop-reindexing-unchanged-documents_cb5a1669
-----                                                                     ----------------------                 -----------------------------------------------------
indexing/-geo-delete-facetedNumber-facetedGeo-searchable-                 1.03      2.0±0.22ms        ? ?/sec    1.00  1955.4±336.24µs        ? ?/sec
indexing/-movies-delete-facetedString-facetedNumber-searchable-           1.08     11.0±2.93ms        ? ?/sec    1.00     10.2±4.04ms        ? ?/sec
indexing/-movies-delete-facetedString-facetedNumber-searchable-nested-    1.00     15.1±3.89ms        ? ?/sec    1.14     17.1±5.18ms        ? ?/sec
indexing/-songs-delete-facetedString-facetedNumber-searchable-            1.26    59.2±12.01ms        ? ?/sec    1.00     47.1±8.52ms        ? ?/sec
indexing/-wiki-delete-searchable-                                         1.08   316.6±31.53ms        ? ?/sec    1.00   293.6±17.00ms        ? ?/sec
indexing/Indexing geo_point                                               1.01      60.9±0.31s        ? ?/sec    1.00      60.6±0.36s        ? ?/sec
indexing/Indexing movies in three batches                                 1.04      20.0±0.30s        ? ?/sec    1.00      19.2±0.25s        ? ?/sec
indexing/Indexing movies with default settings                            1.02      19.1±0.18s        ? ?/sec    1.00      18.7±0.24s        ? ?/sec
indexing/Indexing nested movies with default settings                     1.02      26.2±0.29s        ? ?/sec    1.00      25.9±0.22s        ? ?/sec
indexing/Indexing nested movies without any facets                        1.02      25.3±0.32s        ? ?/sec    1.00      24.7±0.26s        ? ?/sec
indexing/Indexing songs in three batches with default settings            1.00      66.7±0.41s        ? ?/sec    1.01      67.1±0.86s        ? ?/sec
indexing/Indexing songs with default settings                             1.00      58.3±0.90s        ? ?/sec    1.01      58.8±1.32s        ? ?/sec
indexing/Indexing songs without any facets                                1.00      54.5±1.43s        ? ?/sec    1.01      55.2±1.29s        ? ?/sec
indexing/Indexing songs without faceted numbers                           1.00      57.9±1.20s        ? ?/sec    1.01      58.4±0.93s        ? ?/sec
indexing/Indexing wiki                                                    1.00   1052.0±10.95s        ? ?/sec    1.02   1069.4±20.38s        ? ?/sec
indexing/Indexing wiki in three batches                                   1.00    1193.1±8.83s        ? ?/sec    1.00    1189.5±9.40s        ? ?/sec
indexing/Reindexing geo_point                                             3.22      67.5±0.73s        ? ?/sec    1.00      21.0±0.16s        ? ?/sec
indexing/Reindexing movies with default settings                          3.75      19.4±0.28s        ? ?/sec    1.00       5.2±0.05s        ? ?/sec
indexing/Reindexing songs with default settings                           8.90      61.4±0.91s        ? ?/sec    1.00       6.9±0.07s        ? ?/sec
indexing/Reindexing wiki                                                  1.00   1748.2±35.68s        ? ?/sec    1.00   1750.5±18.53s        ? ?/sec
```

tldr: We do not lose any performance on the normal indexing benchmark, but we get between 3 and 8 times faster on the reindexing benchmarks 👍 

Co-authored-by: Tamo <tamo@meilisearch.com>
2022-08-04 08:10:37 +00:00
ManyTheFish
d6f9a60a32 fix: Remove whitespace trimming during document id validation
fix #592
2022-08-03 11:38:40 +02:00
Tamo
7fc35c5586
remove the useless prints 2022-08-02 10:31:22 +02:00
Tamo
f156d7dd3b
Stop reindexing already indexed documents 2022-08-02 10:31:20 +02:00
Loïc Lecrenier
07003704a8 Merge branch 'filter/field-exist' 2022-07-21 14:51:41 +02:00
Clémentine Urquizar
d5e9b7305b
Update version for next release (v0.32.0) 2022-07-21 13:20:02 +04:00
bors[bot]
941af58239
Merge #561
561: Enriched documents batch reader r=curquiza a=Kerollmops

~This PR is based on #555 and must be rebased on main after it has been merged to ease the review.~
This PR contains the work in #555 and can be merged on main as soon as reviewed and approved.

- [x] Create an `EnrichedDocumentsBatchReader` that contains the external documents id.
- [x] Extract the primary key name and make it accessible in the `EnrichedDocumentsBatchReader`.
- [x] Use the external id from the `EnrichedDocumentsBatchReader` in the `Transform::read_documents`.
- [x] Remove the `update_primary_key` from the _transform.rs_ file.
- [x] Really generate the auto-generated documents ids.
- [x] Insert the (auto-generated) document ids in the document while processing it in `Transform::read_documents`.

Co-authored-by: Kerollmops <clement@meilisearch.com>
2022-07-21 07:08:50 +00:00
Loïc Lecrenier
41a0ce07cb
Add a code comment, as suggested in PR review
Co-authored-by: Many the fish <many@meilisearch.com>
2022-07-20 16:20:35 +02:00
Loïc Lecrenier
1506683705 Avoid using too much memory when indexing facet-exists-docids 2022-07-19 14:42:35 +02:00
Loïc Lecrenier
d0eee5ff7a Fix compiler error 2022-07-19 13:54:30 +02:00
Loïc Lecrenier
aed8c69bcb Refactor indexation of the "facet-id-exists-docids" database
The idea is to directly create a sorted and merged list of bitmaps
in the form of a BTreeMap<FieldId, RoaringBitmap> instead of creating
a grenad::Reader where the keys are field_id and the values are docids.

Then we send that BTreeMap to the thing that handles TypedChunks, which
inserts its content into the database.
2022-07-19 10:07:33 +02:00
Loïc Lecrenier
1eb1e73bb3 Add integration tests for the EXISTS filter 2022-07-19 10:07:33 +02:00
Loïc Lecrenier
4f0bd317df Remove custom implementation of BytesEncode/Decode for the FieldId 2022-07-19 10:07:33 +02:00
Loïc Lecrenier
80b962b4f4 Run cargo fmt 2022-07-19 10:07:33 +02:00