357: Add benchmarks for the geosearch r=Kerollmops a=irevoire
closes#336
Should I merge this PR in #322 and then we merge everything in `main` or should we wait for #322 to be merged and then merge this one in `main` later?
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: Irevoire <tamo@meilisearch.com>
324: Implement documents API r=Kerollmops a=MarinPostma
This pr implement the intermediary document representation for milli. The JSON, JSONL and CSV formats are replaced with the format instead, to push the serialization duty on the client side.
The `documents` module contains the interface to the new document format:
- The `DocumentsBuilder` allows the creation of a writer backed document addition, when documents are added either one by one, or as arrays of depth 1. This is made possible by the fact that the seriliazer used by the `add_documents` methods only accepts `[Object]` and `Object`. The related serialization logic is located in the `serde.rs` file.
- The `DocumentsReader` allows to to iterate over the documents created by a `DocumentsBuilder`. A call to `next_document_with_index` returns the next obkv reader in the document addition, along with a reference to the index used to map the field ids in the obkv reader to the field names
All references to json, jsonl or csv in the tests have been replaced with the `documents!` macro, works exaclty like the `serde_json::json` macro, as a convenient way to create a `DocumentsReader`.
Rewrote the search cli, to the `cli` crate, to also allow index manipulation. This only offers basic functionalities for now, but is meant to be easier to extend than http ui
blocked by #308
Co-authored-by: mpostma <postma.marin@protonmail.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>
359: Improve the benchmark comparison script r=irevoire a=irevoire
This modification allow us to compare more than 2 benchmarks or to only print the results of one benchmark
Co-authored-by: Irevoire <tamo@meilisearch.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
1659: deps: unify pest dependency r=MarinPostma a=happysalada
meilisearch dependends on two different versions of pest.
This can be problematic for some build systems (e.g. NixOS).
Since the repo hasn't received an update in a while, in the meantime, use the later version of the two pest dependencies.
Context: this has been discussed previously https://github.com/meilisearch/MeiliSearch/issues/1273
meilisearch has been selected by ngi to be packaged for nixos. A patch can be applied to make the changes proposed in this PR. This PR intends to see how the maintainers of meilisearch would feel about the patch.
What was done.
- Add an override for the pest dependency in Cargo.toml.
- recreate the Cargo.lock with `cargo update`. This has had the side effect of updating some dependencies.
I ran the tests on darwin. My machine is quite old so I had 8 failures due to a timeout. None of the failures look like they are due to the new dependencies.
Checking the pest repo, it seems there are some recent commits, however no sure date of when there could be a new release.
If this gets accepted, there is no need to do a new release, nixos can just target the new commit.
If you feel it's too much pain for not enough gain, no worries at all!
Co-authored-by: happysalada <raphael@megzari.com>
1692: Use tikv-jemallocator instead of jemallocator r=curquiza a=felixonmars
`jemallocator` has been abandoned for nearly two years, and `rustc`
itself moved to use `tikv-jemallocator` instead:
3965773ae7
Let's switch to a better maintained version.
Co-authored-by: Felix Yan <felixonmars@archlinux.org>
`jemallocator` has been abandoned for nearly two years, and `rustc`
itself moved to use `tikv-jemallocator` instead:
3965773ae7
Let's switch to a better maintained version.
356: Update the README r=curquiza a=Kerollmops
This PR updates a little bit the README and more specifically the indexing times, fixes#352.
Co-authored-by: Kerollmops <clement@meilisearch.com>
1651: Use reset_sortable_fields r=Kerollmops a=shekhirin
Resolves https://github.com/meilisearch/MeiliSearch/issues/1635
1676: Add curl binary to final stage image r=curquiza a=ook
Reference: #1673
Changes: * add `curl` binary to final docker Melisearch image.
For metrics, docker funny layer management makes this add a shrink from 319MB to 315MB:
```
☁ MeiliSearch [feature/1673-add-curl-to-docker-image] ⚡ docker image ls
REPOSITORY TAG IMAGE ID CREATED SIZE
getmeili/meilisearch 0.22.0_ook_1673 938e239ad989 2 hours ago 315MB
getmeili/meilisearch latest 258fa3aa1230 6 days ago 319MB
```
1684: bump dependencies r=MarinPostma a=MarinPostma
Bump meilisearch dependencies.
We still depend on custom patch that have been upgraded along the way.
Co-authored-by: Alexey Shekhirin <a.shekhirin@gmail.com>
Co-authored-by: Thomas Lecavelier <thomas@followanalytics.com>
Co-authored-by: mpostma <postma.marin@protonmail.com>
