322: Geosearch r=ManyTheFish a=irevoire
This PR introduces [basic geo-search functionalities](https://github.com/meilisearch/specifications/pull/59), it makes the engine able to index, filter and, sort by geo-point. We decided to use [the rstar library](https://docs.rs/rstar) and to save the points in [an RTree](https://docs.rs/rstar/0.9.1/rstar/struct.RTree.html) that we de/serialize in the index database [by using serde](https://serde.rs/) with [bincode](https://docs.rs/bincode). This is not an efficient way to query this tree as it will consume a lot of CPU and memory when a search is made, but at least it is an easy first way to do so.
### What we will have to do on the indexing part:
- [x] Index the `_geo` fields from the documents.
- [x] Create a new module with an extractor in the `extract` module that takes the `obkv_documents` and retrieves the latitude and longitude coordinates, outputting them in a `grenad::Reader` for further process.
- [x] Call the extractor in the `extract::extract_documents_data` function and send the result to the `TypedChunk` module.
- [x] Get the `grenad::Reader` in the `typed_chunk::write_typed_chunk_into_index` function and store all the points in the `rtree`
- [x] Delete the documents from the `RTree` when deleting documents from the database. All this can be done in the `delete_documents.rs` file by getting the data structure and removing the points from it, inserting it back after the modification.
- [x] Clearing the `RTree` entirely when we clear the documents from the database, everything happens in the `clear_documents.rs` file.
- [x] save a Roaring bitmap of all documents containing the `_geo` field
### What we will have to do on the query part:
- [x] Filter the documents at a certain distance around a point, this is done by [collecting the documents from the searched point](https://docs.rs/rstar/0.9.1/rstar/struct.RTree.html#method.nearest_neighbor_iter) while they are in range.
- [x] We must introduce new `geoLowerThan` and `geoGreaterThan` variants to the `Operator` filter enum.
- [x] Implement the `negative` method on both variants where the `geoGreaterThan` variant is implemented by executing the `geoLowerThan` and removing the results found from the whole list of geo faceted documents.
- [x] Add the `_geoRadius` function in the pest parser.
- [x] Introduce a `_geo` ascending ranking function that takes a point in parameter, ~~this function must keep the iterator on the `RTree` and make it peekable~~ This was not possible for now, we had to collect the whole iterator. Only the documents that are part of the candidates must be sent too!
- [x] This ascending ranking rule will only be active if the search is set up with the `_geoPoint` parameter that indicates the center point of the ascending ranking rule.
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- On Meilisearch part: We must introduce a new concept, returning the documents with a new `_geoDistance` field when it passed by the `_geo` ranking rule, this has never been done before. We could maybe just do it afterward when the documents have been retrieved from the database, computing the distance from the `_geoPoint` and all of the documents to be returned.
Co-authored-by: Irevoire <tamo@meilisearch.com>
Co-authored-by: cvermand <33010418+bidoubiwa@users.noreply.github.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
342: Let the caller decide what kind of error they want to returns when parsing `AscDesc` r=Kerollmops a=irevoire
This is one possible fix for #339
We would then need to patch these lines https://github.com/meilisearch/MeiliSearch/blob/main/meilisearch-http/src/index/search.rs#L110-L114 to return the error we want.
Another solution would be to add a parameter to the `from_str` to specify which context we are in.
Co-authored-by: Tamo <tamo@meilisearch.com>
344: Move the sort ranking rule before the exactness ranking rule r=ManyTheFish a=Kerollmops
This PR moves the sort ranking rule at the 5th position by default, right before the exactness one.
Co-authored-by: Kerollmops <clement@meilisearch.com>
308: Implement a better parallel indexer r=Kerollmops a=ManyTheFish
Rewrite the indexer:
- enhance memory consumption control
- optimize parallelism using rayon and crossbeam channel
- factorize the different parts and make new DB implementation easier
- optimize and fix prefix databases
Co-authored-by: many <maxime@meilisearch.com>
300: Fix prefix level position docids database r=curquiza a=ManyTheFish
The prefix search was inverted when we generated the DB.
Instead of searching if word had a prefix in prefix fst,
we were searching if the word was a prefix of a prefix contained in the prefix fst.
The indexer, now, iterate over prefix contained in the fst
and search them by prefix in the word-level-position-docids database,
aggregating matches in a sorter.
Fix#299
Co-authored-by: many <maxime@meilisearch.com>
The prefix search was inverted when we generated the DB.
Instead of searching if word had a prefix in prefix fst,
we were searching if the word was a prefix of a prefix contained in the prefix fst.
The indexer, now, iterate over prefix contained in the fst
and search them by prefix in the word-level-position-docids database,
aggregating matches in a sorter.
Fix#299
