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>
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
291: Fix a bug about zero bytes in the inputs r=irevoire a=Kerollmops
Ok, good news, after a little session of debugging with `@irevoire` we found out that the bug seems to be related to zeroes in the input update. The engine wasn't designed to accept those. The chosen solution is to update the tokenizer to remove those zeroes. We are waiting on https://github.com/meilisearch/tokenizer/pull/52 to be merged and a new version to be released.
It is not an undefined behavior, I repeat: it is a "normal" bug 🎉👏
----
This PR tries to fix a bug where we use LMDB in the wrong way, leading to panic due to an undefined behavior on the Rust side. I thought [we fixed it in a previous PR](https://github.com/meilisearch/milli/pull/264) but we found out that _a similar_ bug was still present. `@bb` found a way to trigger this bug and helped us find the origin of it.
As I don't have a minimal reproducible example of this bug I bet on the unsafe `put_current` calls when we index new documents as the bug was trigger after a big indexation on a clean database, thus not triggering a deletion update. I only replaced the unsafe `put_current` with two safe calls to `get`/`put`.
I hope it helps and fixes the bug, only `@bb` can help us check that. I am not even sure how I can create a custom Docker image and expose it for testing purposes.
<details>
<summary>The backtrace leading us to a panic in grenad.</summary>
```
meilisearch_1 | thread 'tokio-runtime-worker' panicked at 'assertion failed: key > &last_key', /root/.cargo/git/checkouts/grenad-e2cb77f65d31bb02/3adcb26/src/block_builder.rs:38:17
meilisearch_1 | stack backtrace:
meilisearch_1 | 0: rust_begin_unwind
meilisearch_1 | at ./rustc/53cb7b09b00cbea8754ffb78e7e3cb521cb8af4b/library/std/src/panicking.rs:493:5
meilisearch_1 | 1: core::panicking::panic_fmt
meilisearch_1 | at ./rustc/53cb7b09b00cbea8754ffb78e7e3cb521cb8af4b/library/core/src/panicking.rs:92:14
meilisearch_1 | 2: core::panicking::panic
meilisearch_1 | at ./rustc/53cb7b09b00cbea8754ffb78e7e3cb521cb8af4b/library/core/src/panicking.rs:50:5
meilisearch_1 | 3: grenad::block_builder::BlockBuilder::insert
meilisearch_1 | at ./root/.cargo/git/checkouts/grenad-e2cb77f65d31bb02/3adcb26/src/block_builder.rs:38:17
meilisearch_1 | 4: grenad::writer::Writer<W>::insert
meilisearch_1 | at ./root/.cargo/git/checkouts/grenad-e2cb77f65d31bb02/3adcb26/src/writer.rs:92:12
meilisearch_1 | 5: milli::update::words_level_positions::write_level_entry
meilisearch_1 | at ./root/.cargo/git/checkouts/milli-00376cd5db949a15/007fec2/milli/src/update/words_level_positions.rs:262:5
meilisearch_1 | 6: milli::update::words_level_positions::compute_positions_levels
meilisearch_1 | at ./root/.cargo/git/checkouts/milli-00376cd5db949a15/007fec2/milli/src/update/words_level_positions.rs:211:13
meilisearch_1 | 7: milli::update::words_level_positions::WordsLevelPositions::execute
meilisearch_1 | at ./root/.cargo/git/checkouts/milli-00376cd5db949a15/007fec2/milli/src/update/words_level_positions.rs:65:23
meilisearch_1 | 8: milli::update::index_documents::IndexDocuments::execute_raw
meilisearch_1 | at ./root/.cargo/git/checkouts/milli-00376cd5db949a15/007fec2/milli/src/update/index_documents/mod.rs:831:9
meilisearch_1 | 9: milli::update::index_documents::IndexDocuments::execute
meilisearch_1 | at ./root/.cargo/git/checkouts/milli-00376cd5db949a15/007fec2/milli/src/update/index_documents/mod.rs:372:9
meilisearch_1 | 10: meilisearch_http::index::updates::<impl meilisearch_http::index::Index>::update_documents_txn
meilisearch_1 | at ./meilisearch/meilisearch-http/src/index/updates.rs:225:30
meilisearch_1 | 11: meilisearch_http::index::updates::<impl meilisearch_http::index::Index>::update_documents
meilisearch_1 | at ./meilisearch/meilisearch-http/src/index/updates.rs:183:22
meilisearch_1 | 12: meilisearch_http::index::update_handler::UpdateHandler::handle_update
meilisearch_1 | at ./meilisearch/meilisearch-http/src/index/update_handler.rs:75:18
meilisearch_1 | 13: meilisearch_http::index_controller::index_actor::actor::IndexActor<S>::handle_update::{{closure}}::{{closure}}
meilisearch_1 | at ./meilisearch/meilisearch-http/src/index_controller/index_actor/actor.rs:174:35
meilisearch_1 | 14: <tokio::runtime::blocking::task::BlockingTask<T> as core::future::future::Future>::poll
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/blocking/task.rs:42:21
meilisearch_1 | 15: tokio::runtime::task::core::CoreStage<T>::poll::{{closure}}
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/task/core.rs:243:17
meilisearch_1 | 16: tokio::loom::std::unsafe_cell::UnsafeCell<T>::with_mut
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/loom/std/unsafe_cell.rs:14:9
meilisearch_1 | 17: tokio::runtime::task::core::CoreStage<T>::poll
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/task/core.rs:233:13
meilisearch_1 | 18: tokio::runtime::task::harness::poll_future::{{closure}}
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/task/harness.rs:427:23
meilisearch_1 | 19: <std::panic::AssertUnwindSafe<F> as core::ops::function::FnOnce<()>>::call_once
meilisearch_1 | at ./rustc/53cb7b09b00cbea8754ffb78e7e3cb521cb8af4b/library/std/src/panic.rs:344:9
meilisearch_1 | 20: std::panicking::try::do_call
meilisearch_1 | at ./rustc/53cb7b09b00cbea8754ffb78e7e3cb521cb8af4b/library/std/src/panicking.rs:379:40
meilisearch_1 | 21: std::panicking::try
meilisearch_1 | at ./rustc/53cb7b09b00cbea8754ffb78e7e3cb521cb8af4b/library/std/src/panicking.rs:343:19
meilisearch_1 | 22: std::panic::catch_unwind
meilisearch_1 | at ./rustc/53cb7b09b00cbea8754ffb78e7e3cb521cb8af4b/library/std/src/panic.rs:431:14
meilisearch_1 | 23: tokio::runtime::task::harness::poll_future
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/task/harness.rs:414:19
meilisearch_1 | 24: tokio::runtime::task::harness::Harness<T,S>::poll_inner
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/task/harness.rs:89:9
meilisearch_1 | 25: tokio::runtime::task::harness::Harness<T,S>::poll
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/task/harness.rs:59:15
meilisearch_1 | 26: tokio::runtime::task::raw::RawTask::poll
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/task/raw.rs:66:18
meilisearch_1 | 27: tokio::runtime::task::Notified<S>::run
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/task/mod.rs:171:9
meilisearch_1 | 28: tokio::runtime::blocking::pool::Inner::run
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/blocking/pool.rs:265:17
meilisearch_1 | 29: tokio::runtime::blocking::pool::Spawner::spawn_thread::{{closure}}
meilisearch_1 | at ./root/.cargo/registry/src/github.com-1ecc6299db9ec823/tokio-1.7.1/src/runtime/blocking/pool.rs:245:17
meilisearch_1 | note: Some details are omitted, run with `RUST_BACKTRACE=full` for a verbose backtrace.
```
</details>
Co-authored-by: Kerollmops <clement@meilisearch.com>
269: Fix bug when inserting previously deleted documents r=Kerollmops a=Kerollmops
This PR fixes#268.
The issue was in the `ExternalDocumentsIds` implementation in the specific case that an external document id was in the soft map marked as deleted.
The bug was due to a wrong assumption on my side about how the FST unions were returning the `IndexedValue`s, I thought the values returned in an array were in the same order as the FSTs given to the `OpBuilder` but in fact, [the `IndexedValue`'s `index` field was here to indicate from which FST the values were coming from](https://docs.rs/fst/0.4.7/fst/map/struct.IndexedValue.html).
271: Remove the roaring operation functions warnings r=Kerollmops a=Kerollmops
In this PR we are just replacing the usages of the roaring operations function by the new operators. This removes a lot of warnings.
Co-authored-by: Kerollmops <clement@meilisearch.com>
It is undefined behavior to keep a reference to the database while
modifying it, we were keeping references in the database and also
feeding the heed put_current methods with keys referenced inside
the database itself.
https://github.com/Kerollmops/heed/pull/108
245: Warn for when a key is too large for LMDB r=Kerollmops a=Kerollmops
Closes#191, and resolves#140.
Co-authored-by: Kerollmops <clement@meilisearch.com>
212: Introduce integration test on criteria r=Kerollmops a=ManyTheFish
- add pre-ranked dataset
- test each criterion 1 by 1
- test all criteria in several order
222: Move the `UpdateStore` into the http-ui crate r=Kerollmops a=Kerollmops
We no more need to have the `UpdateStore` inside of the mill crate as this is the job of the caller to stack the updates and sequentially give them to milli.
223: Update dataset links r=Kerollmops a=curquiza
Co-authored-by: many <maxime@meilisearch.com>
Co-authored-by: Many <legendre.maxime.isn@gmail.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Clémentine Urquizar <clementine@meilisearch.com>
220: Make hard separators split phrase query r=Kerollmops a=ManyTheFish
hard separators will now split a phrase query as two sequential phrases (double-quoted strings):
the query `"Radioactive (Imagine Dragons)"` would be considered equivalent to `"Radioactive" "Imagine Dragons"` which as the little disadvantage of not keeping the order of the two (or more) separate phrases.
Fix#208
Co-authored-by: many <maxime@meilisearch.com>
Co-authored-by: Many <legendre.maxime.isn@gmail.com>
193: Fix primary key behavior r=Kerollmops a=MarinPostma
this pr:
- Adds early returns on empty document additions, avoiding error messages to be returned when adding no documents and no primary key was set.
- Changes the primary key inference logic to match that of legacy meilisearch.
close#194
Co-authored-by: Marin Postma <postma.marin@protonmail.com>
Co-authored-by: marin postma <postma.marin@protonmail.com>
202: Add field id word count docids database r=Kerollmops a=LegendreM
This PR introduces a new database, `field_id_word_count_docids`, that maps the number of words in an attribute with a list of document ids. This relation is limited to attributes that contain less than 11 words.
This database is used by the exactness criterion to know if a document has an attribute that contains exactly the query without any additional word.
Fix#165Fix#196
Related to [specifications:#36](https://github.com/meilisearch/specifications/pull/36)
Co-authored-by: many <maxime@meilisearch.com>
Co-authored-by: Many <legendre.maxime.isn@gmail.com>
203: Make the MatchingWords return the number of matching bytes r=Kerollmops a=LegendreM
Make the MatchingWords return the number of matching bytes using a custom Levenshtein algorithm.
Fix#138
Co-authored-by: many <maxime@meilisearch.com>
184: Transfer numbers and strings facets into the appropriate facet databases r=Kerollmops a=Kerollmops
This pull request is related to https://github.com/meilisearch/milli/issues/152 and changes the layout of the facets values, numbers and strings are now in dedicated databases and the user no more needs to define the type of the fields. No more conversion between the two types is done, numbers (floats and integers converted to f64) go to the facet float database and strings go to the strings facet database.
There is one related issue that I found regarding CSVs, the values in a CSV are always considered to be strings, [meilisearch/specifications#28](d916b57d74/text/0028-indexing-csv.md) fixes this issue by allowing the user to define the fields types using `:` in the "CSV Formatting Rules" section.
All previous tests on facets have been modified to pass again and I have also done hand-driven tests with the 115m songs dataset. Everything seems to be good!
Fixes#192.
Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
- pass excluded document to criteria to remove them in higher levels of the bucket-sort
- merge already returned document with excluded documents to avoid duplicas
Related to #125 and #112Fix#170
This reverts commit 12fb509d84.
We revert this commit because it's causing the bug #150.
The initial algorithm we implemented for the stop_words was:
1. remove the stop_words from the dataset
2. keep the stop_words in the query to see if we can generate new words by
integrating typos or if the word was a prefix
=> This was causing the bug since, in the case of “The hobbit”, we were
**always** looking for something starting with “t he” or “th e”
instead of ignoring the word completely.
For now we are going to fix the bug by completely ignoring the
stop_words in the query.
This could cause another problem were someone mistyped a normal word and
ended up typing a stop_word.
For example imagine someone searching for the music “Won't he do it”.
If that person misplace one space and write “Won' the do it” then we
will loose a part of the request.
One fix would be to update our query tree to something like that:
---------------------
OR
OR
TOLERANT hobbit # the first option is to ignore the stop_word
AND
CONSECUTIVE # the second option is to do as we are doing
EXACT t # currently
EXACT he
TOLERANT hobbit
---------------------
This would increase drastically the size of our query tree on request
with a lot of stop_words. For example think of “The Lord Of The Rings”.
For now whatsoever we decided we were going to ignore this problem and consider
that it doesn't reduce too much the relevancy of the search to do that
while it improves the performances.
fixes after review
bump the version of the tokenizer
implement a first version of the stop_words
The front must provide a BTreeSet containing the stop words
The stop_words are set at None if an empty Set is provided
add the stop-words in the http-ui interface
Use maplit in the test
and remove all the useless drop(rtxn) at the end of all tests
Integrate the stop_words in the querytree
remove the stop_words from the querytree except if it was a prefix or a typo
more fixes after review
The front must provide a BTreeSet containing the stop words
The stop_words are set at None if an empty Set is provided
add the stop-words in the http-ui interface
Use maplit in the test
and remove all the useless drop(rtxn) at the end of all tests
