Instead of using an arbitrary limit we encode the absolute position in a u32
using one strong u16 for the field id and a weak u16 for the relative position in the attribute.
386: fix obkv document r=curquiza a=MarinPostma
When serializing a document, the serializer resolved the field_id of the current field and immediately added it to the obkv document under construction. The issue with that is that obkv expects the fields to be inserted in order, and when a document with out of order fields was added, obkv failed to insert the field.
The current fix first resolves each field_id, and adds all the fields to a temporary `BTreeMap`, until `end` is called on the map serializer, where all the fields are added to the obkv at once, and in order.
Co-authored-by: mpostma <postma.marin@protonmail.com>
Latitude are not supposed to go beyound 90 degrees or below -90.
The same goes for longitude with 180 or -180.
This was badly implemented in the filters, and was not implemented for the AscDesc rules.
379: Revert "Change chunk size to 4MiB to fit more the end user usage" r=curquiza a=ManyTheFish
Reverts meilisearch/milli#370
Co-authored-by: Many <legendre.maxime.isn@gmail.com>
376: Stop casting integer docids to string r=Kerollmops a=irevoire
When a docid is an integer, we stop casting it to a string, and thus we don't add `"` around it.
Co-authored-by: Tamo <tamo@meilisearch.com>
373: Improve error message for bad sort syntax with geosearch r=Kerollmops a=irevoire
`@Kerollmops` This should be the last PR for the geosearch and error handling, sorry for doing it in so many steps 😬
Co-authored-by: Tamo <tamo@meilisearch.com>
372: Fix Meilisearch 1714 r=Kerollmops a=ManyTheFish
The bug comes from the typo tolerance, to know how many typos are accepted we were counting bytes instead of characters in a word.
On Chinese Script characters, we were allowing 2 typos on 3 characters words.
We are now counting the number of char instead of counting bytes to assign the typo tolerance.
Related to [Meilisearch#1714](https://github.com/meilisearch/MeiliSearch/issues/1714)
Co-authored-by: many <maxime@meilisearch.com>
360: Update version for the next release (v0.14.0) r=Kerollmops a=curquiza
Release containing the geosearch, cf #322
Co-authored-by: Clémentine Urquizar <clementine@meilisearch.com>
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.
-----------
- 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>
