The code is mostly duplicated. Server::wait_task() has better handling for errors and more retries.
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
The code is mostly duplicated. Server::wait_task() has better handling for errors and more retries.
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
The code is mostly duplicated. Server::wait_task() has better handling for errors and more retries.
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
The code is mostly duplicated. Server::wait_task() has better handling for errors and more retries.
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
The code is mostly duplicated.
Server::wait_task() has better handling for errors and more retries.
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
* Add a call to .failed() for an awaited task
* Use Server::wait_task() instead of Index::wait_task() - it has better
error checking
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
This reduces the build time of the `benchmarks` crate from ~220secs to
45secs (according to `cargo build --timings`) on my dev machine
Additionally I've introduced a parent folder for the Meili related cache
paths - ~/.cache/meili
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
when removing a field from the filterable settings,
this will trigger a reindexing of the negative version of the document,
which removes the document from the searchable as well because the field was considered removed.
It could be used when we want to see the index name in the assertions,
e.g. `movies-[uuid]`
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
Revert the debugging helper that dumped the thread stack traces.
Try with 400 max attempts for the task success/failure (200 secs)
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
This allows to make some more search::filters IT tests using shared
server + unique/shared indices
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
The new Chinese segmenter is splitting words in smaller parts.
The words `小化妆包` was previously seegmented as `小 / 化妆包` and is now segmented as `小 / 化妆 / 包`,
which changes the tests results.
Use shared server + unique indices where possible.
Assert .succeeded() for the waited tasks.
Drop usage of dbg!() in the assertions. It caused noise in the logs
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
* Use shared index where possible.
* Call .succeeded/.failed when waiting for a task.
* Use newer format_args syntax
* Do not use fully qualified name for meili_snap:: functions. The
functions are already imported in scope
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
... because a Shared one could see indices created by other tests
2. List at least 1000 indices to make sure we get the newly created ones
in list_multiple_indexes()
Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
Won't work in integration tests and consequently all threads would be
used. To remedy this we make explicit `max_threads=Some(1)` in the
IndexerConfig::default
5436: Update mini-dashboard to v0.2.19 version r=Kerollmops a=curquiza
Fixes mini dashboard to prevent the panel from popping up every time
Fixed by `@mdubus` 👍
Co-authored-by: curquiza <clementine@meilisearch.com>
5426: Bump zip from 2.2.2 to 2.3.0 r=Kerollmops a=dependabot[bot]
Bumps [zip](https://github.com/zip-rs/zip2) from 2.2.2 to 2.3.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/zip-rs/zip2/releases">zip's releases</a>.</em></p>
<blockquote>
<h2>v2.3.0</h2>
<h3><!-- raw HTML omitted -->🚀 Features</h3>
<ul>
<li>Add support for NTFS extra field (<a href="https://redirect.github.com/zip-rs/zip2/pull/279">#279</a>)</li>
</ul>
<h3><!-- raw HTML omitted -->🐛 Bug Fixes</h3>
<ul>
<li><em>(test)</em> Conditionalize a zip64 doctest (<a href="https://redirect.github.com/zip-rs/zip2/pull/308">#308</a>)</li>
<li>fix failing tests, remove symlink loop check</li>
<li>Canonicalize output path to avoid false negatives</li>
<li>Symlink handling in stream extraction</li>
<li>Canonicalize output paths and symlink targets, and ensure they descend from the destination</li>
</ul>
<h3><!-- raw HTML omitted -->⚙️ Miscellaneous Tasks</h3>
<ul>
<li>Fix clippy and cargo fmt warnings (<a href="https://redirect.github.com/zip-rs/zip2/pull/310">#310</a>)</li>
</ul>
<h2>v2.2.3</h2>
<h3><!-- raw HTML omitted -->🚜 Refactor</h3>
<ul>
<li>Change the inner structure of <code>DateTime</code> (<a href="https://redirect.github.com/zip-rs/zip2/issues/267">#267</a>)</li>
</ul>
<h3><!-- raw HTML omitted -->⚙️ Miscellaneous Tasks</h3>
<ul>
<li>cargo fix --edition</li>
</ul>
</blockquote>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/zip-rs/zip2/blob/master/CHANGELOG.md">zip's changelog</a>.</em></p>
<blockquote>
<h2><a href="https://github.com/zip-rs/zip2/compare/v2.2.3...v2.3.0">2.3.0</a> - 2025-03-16</h2>
<h3><!-- raw HTML omitted -->🚀 Features</h3>
<ul>
<li>Add support for NTFS extra field (<a href="https://redirect.github.com/zip-rs/zip2/pull/279">#279</a>)</li>
</ul>
<h3><!-- raw HTML omitted -->🐛 Bug Fixes</h3>
<ul>
<li><em>(test)</em> Conditionalize a zip64 doctest (<a href="https://redirect.github.com/zip-rs/zip2/pull/308">#308</a>)</li>
<li>fix failing tests, remove symlink loop check</li>
<li>Canonicalize output path to avoid false negatives</li>
<li>Symlink handling in stream extraction</li>
<li>Canonicalize output paths and symlink targets, and ensure they descend from the destination</li>
</ul>
<h3><!-- raw HTML omitted -->⚙️ Miscellaneous Tasks</h3>
<ul>
<li>Fix clippy and cargo fmt warnings (<a href="https://redirect.github.com/zip-rs/zip2/pull/310">#310</a>)</li>
</ul>
<h2><a href="https://github.com/zip-rs/zip2/compare/v2.2.2...v2.2.3">2.2.3</a> - 2025-02-26</h2>
<h3><!-- raw HTML omitted -->🚜 Refactor</h3>
<ul>
<li>Change the inner structure of <code>DateTime</code> (<a href="https://redirect.github.com/zip-rs/zip2/issues/267">#267</a>)</li>
</ul>
<h3><!-- raw HTML omitted -->⚙️ Miscellaneous Tasks</h3>
<ul>
<li>cargo fix --edition</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a href="6eab5f5cc6"><code>6eab5f5</code></a> chore: release v2.3.0 (<a href="https://redirect.github.com/zip-rs/zip2/issues/300">#300</a>)</li>
<li><a href="e4aee2050f"><code>e4aee20</code></a> implement <code>ZipFile::options</code> + refactor options normalization (<a href="https://redirect.github.com/zip-rs/zip2/issues/305">#305</a>)</li>
<li><a href="ea8a7bba24"><code>ea8a7bb</code></a> fix(test): Conditionalize a zip64 doctest (<a href="https://redirect.github.com/zip-rs/zip2/issues/308">#308</a>)</li>
<li><a href="365c81a39f"><code>365c81a</code></a> Use <code>xz2</code> crate instead of a custom implementation (<a href="https://redirect.github.com/zip-rs/zip2/issues/306">#306</a>)</li>
<li><a href="ae94b3452b"><code>ae94b34</code></a> chore: Fix clippy and cargo fmt warnings (<a href="https://redirect.github.com/zip-rs/zip2/issues/310">#310</a>)</li>
<li><a href="a2e062f370"><code>a2e062f</code></a> Merge commit from fork</li>
<li><a href="0199ac2cb8"><code>0199ac2</code></a> Simplify handling for symlink targets</li>
<li><a href="977bb9479d"><code>977bb94</code></a> fix failing tests, remove symlink loop check</li>
<li><a href="3cb29e70d1"><code>3cb29e7</code></a> Partial fix for tests</li>
<li><a href="2182b07686"><code>2182b07</code></a> Refactor</li>
<li>Additional commits viewable in <a href="https://github.com/zip-rs/zip2/compare/v2.2.2...v2.3.0">compare view</a></li>
</ul>
</details>
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5422: Add more progress levels to measure merging r=Kerollmops a=Kerollmops
I found out that Meilisearch was not correctly reporting the long indexing times in the progress and that a lot of time was spent on extracting words with all documents already extracted. The reason was that there was no step to report merging the cache and sending the entries to write to the writer thread. This PR adds these entries to the progress.
Co-authored-by: Kerollmops <clement@meilisearch.com>
5421: Accept total batch size in human size r=irevoire a=Kerollmops
This PR fixes the new `experimental-limit-batched-tasks-total-size` to accept human-defined sizes in bytes.
Co-authored-by: Kerollmops <clement@meilisearch.com>
5420: Add support for the progress API of arroy r=Kerollmops a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/5419
## What does this PR do?
- Convert the arroy progress to the meilisearch progress
- Use the new arroy closure to support the progress of arroy
Co-authored-by: Tamo <tamo@meilisearch.com>
5418: Cache embeddings in search r=Kerollmops a=dureuill
# Pull Request
## Related issue
TBD
## What does this PR do?
- Adds a cache for embeddings produced in search
- The cache is disabled by default, and can be enabled following the instructions [here](https://github.com/orgs/meilisearch/discussions/818).
- Had to accommodate the `timeout` test for openai that uses a mock that simulates a timeout on subsequent responses: since the test was reusing the same query, the cache would kick-in and no request would be made to the mock, meaning no timeout any longer and so a failing test 😅
- `Embedder::embed_search` now accepts a reference instead of an owned `String`.
## Manual testing
- I created 4 indexes on a fresh DB with the same settings (one embedder from openai)
- I sent 1/4 of movies.json to each index
- I sent a federated search request against all 4 indexes, with the same query for each index, using the embedder of each index.
Results:
- The first call took 400ms to 1s. Before this change, it took in the 3s range.
- Any repeated call with the same query took in the range of 25ms.
- Looking at the details at trace log level, I can see that the first index that needs the embedding is taking most of the 400ms in `embed_one`. The other indexes report that the query text is found in the cache and they each take a few µs.
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
5369: exhaustive facet search r=ManyTheFish a=ManyTheFish
Fixes#5403
This PR adds an `exhaustiveFacetCount` field to the `/facet-search` API allowing the end-user to have a better facet count when having a distinct attribute set in the index settings.
# Usage
`POST /index/:index_uid/facet-search`
**Body:**
```json
{
"facetQuery": "blob",
"facetName": "genres",
"q": "",
"exhaustiveFacetCount": true
}
```
# Prototype Docker images
```sh
$ docker pull getmeili/meilisearch:prototype-exhaustive-facet-search-00
```
Co-authored-by: ManyTheFish <many@meilisearch.com>
5398: Bump ring from 0.17.8 to 0.17.13 r=Kerollmops a=dependabot[bot]
Bumps [ring](https://github.com/briansmith/ring) from 0.17.8 to 0.17.13.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/briansmith/ring/blob/main/RELEASES.md">ring's changelog</a>.</em></p>
<blockquote>
<h1>Version 0.17.13 (2025-03-06)</h1>
<p>Increased MSRV to 1.66.0 to avoid bugs in earlier versions so that we can
safely use <code>core::arch::x86_64::__cpuid</code> and <code>core::arch::x86::__cpuid</code> from
Rust in future releases.</p>
<p>AVX2-based VAES-CLMUL implementation. This will be a notable performance
improvement for most newish x86-64 systems. This will likely raise the minimum
binutils version supported for very old Linux distros.</p>
<h1>Version 0.17.12 (2025-03-05)</h1>
<p>Bug fix: <a href="https://redirect.github.com/briansmith/ring/pull/2447">briansmith/ring#2447</a> for denial of service (DoS).</p>
<ul>
<li>
<p>Fixes a panic in <code>ring::aead::quic::HeaderProtectionKey::new_mask()</code> when
integer overflow checking is enabled. In the QUIC protocol, an attacker can
induce this panic by sending a specially-crafted packet. Even unintentionally
it is likely to occur in 1 out of every 2**32 packets sent and/or received.</p>
</li>
<li>
<p>Fixes a panic on 64-bit targets in <code>ring::aead::{AES_128_GCM, AES_256_GCM}</code>
when overflow checking is enabled, when encrypting/decrypting approximately
68,719,476,700 bytes (about 64 gigabytes) of data in a single chunk. Protocols
like TLS and SSH are not affected by this because those protocols break large
amounts of data into small chunks. Similarly, most applications will not
attempt to encrypt/decrypt 64GB of data in one chunk.</p>
</li>
</ul>
<p>Overflow checking is not enabled in release mode by default, but
<code>RUSTFLAGS="-C overflow-checks"</code> or <code>overflow-checks = true</code> in the Cargo.toml
profile can override this. Overflow checking is usually enabled by default in
debug mode.</p>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li>See full diff in <a href="https://github.com/briansmith/ring/commits">compare view</a></li>
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5413: Make sure to delete useless prefixes r=ManyTheFish a=Kerollmops
We discovered a bug where the new indexer was still writing empty roaring bitmaps instead of deleting the prefix entry from the prefix database.
Co-authored-by: Kerollmops <clement@meilisearch.com>
5254: Granular Filterable attribute settings r=ManyTheFish a=ManyTheFish
# Related
**Issue:** https://github.com/meilisearch/meilisearch/issues/5163
**PRD:** https://meilisearch.notion.site/API-usage-Settings-to-opt-out-indexing-features-filterableAttributes-1764b06b651f80aba8bdf359b2df3ca8
# Summary
Change the `filterableAttributes` settings to let the user choose which facet feature he wants to activate or not.
Deactivating a feature will avoid some database computation in the indexing process and save time and disk size.
# Example
`PATCH /indexes/:index_uid/settings`
```json
{
"filterableAttributes": [
{
"patterns": [
"cattos",
"doggos.age"
],
"features": {
"facetSearch": false,
"filter": {
"equality": true,
"comparison": false
}
}
}
]
}
```
# Impact on the codebase
- Settings API:
- `/settings`
- `/settings/filterable-attributes`
- OpenAPI
- may impact the LocalizedAttributesRules due to the AttributePatterns factorization
- Database:
- Filterable attributes format changed
- Faceted field_ids are no more stored in the database
- FieldIdsMap has no more unexisting fields
- Search:
- Search using filters
- Facet search
- `Attributes` ranking rule
- Distinct attribute
- Facet distribution
- Settings reindexing:
- searchable
- facet
- vector
- geo
- Document indexing:
- searchable
- facet
- vector
- geo
- Dump import
# Note for the reviewers
The changes are huge and have been split in different commits with a dedicated explanation, I suggest reviewing the commit 1by1
Co-authored-by: ManyTheFish <many@meilisearch.com>
5401: Make composite embedders an experimental feature r=irevoire a=dureuill
# Pull Request
## Related issue
Fixes#5343
## What does this PR do?
- Introduce new `compositeEmbedders` experimental feature
- Guard `source = "composite"` and `searchEmbedder`, `indexingEmbedder` behind enabling the feature.
- Update tests accordingly
## Dumpless upgrade
- Adding an experimental feature is never a breaking change
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
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5371: Composite embedders r=irevoire a=dureuill
# Pull Request
## Related issue
Fixes#5343
## What does this PR do?
- Implement [public usage](https://www.notion.so/meilisearch/Composite-embedder-usage-14a4b06b651f81859dc3df21e8cd02a0)
- Refactor the way we check if a parameter is mandatory/allowed/disallowed for a given source
- Take the "nesting context" into account for computer if a parameter is mandatory/allowed/disallowed
- Add tests checking all parameters with all sources, and made sure the results didn't change compared with v1.13
## Dumpless Upgrade
- This adds a new value for an existing parameter => compatible without change
- This adds new optional parameters => compatible without change
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
**Changes:**
- Add a new test playing with filterable attributes rules priority
- Optimize the faceted field selector avoiding to match false positives
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5383: Skip a snapshot test on Windows r=dureuill a=Kerollmops
This PR skips the `perform_on_demand_snapshot` test on Windows, which is very flaky on this platform. Note that we keep running it on macOS and Ubuntu.
Co-authored-by: Kerollmops <clement@meilisearch.com>
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5365: Mention openAPI in CONTRIBUTING.md r=Kerollmops a=irevoire
I only referred to other documents to be sure the process is written only once and won’t get out of sync.
Co-authored-by: Tamo <tamo@meilisearch.com>
**Changes:**
Introduce a test_settings_documents_indexing_swapping_and_search function that run the test twice:
1) by indexing the settings before the documents then running the test
2) by indexing the documents before the settings then running the test
This helps to ensure that their is no bug coming from one or the other indexer.
**Reason:**
Because the filterable attributes are patterns now,
the fieldIdMap will only register the fields that exists in at least one document.
if a field doesn't exist in any document, it will not be registered even if it has been specified in the filterable fields.
**Changes:**
The searchable database extraction is now relying on the AttributePatterns and FieldIdMapWithMetadata to match the field to extract.
Remove the SearchableExtractor trait to make the code less complex.
**Impact:**
- Document Addition/modification searchable indexing
- Document deletion searchable indexing
**Changes:**
The Documents changes now take a selector closure instead of a list of field to match the field to extract.
The seek_leaf_values_in_object function now uses a selector closure of a list of field to match the field to extract
The facet database extraction is now relying on the FilterableAttributesRule to match the field to extract.
The facet-search database extraction is now relying on the FieldIdMapWithMetadata to select the field to index.
The facet level database extraction is now relying on the FieldIdMapWithMetadata to select the field to index.
**Important:**
Because the filterable attributes are patterns now,
the fieldIdMap will only register the fields that exists in at least one document.
if a field doesn't exist in any document, it will not be registered even if it has been specified in the filterable fields.
**Impact:**
- Document Addition/modification facet indexing
- Document deletion facet indexing
**Changes:**
The transform structure is now relying on FieldIdMapWithMetadata and AttributePatterns to prepare
the obkv documents during a settings reindexing.
The InnerIndexSettingsDiff and InnerIndexSettings structs are now relying on FieldIdMapWithMetadata, FilterableAttributesRule and AttributePatterns to define the field and the databases that should be reindexed.
The faceted_fields_ids, localized_searchable_fields_ids and localized_faceted_fields_ids have been removed in favor of the FieldIdMapWithMetadata.
We are now relying on the FieldIdMapWithMetadata to retain vectors_fids from the facets and the searchables.
The searchable database computing is now relying on the FieldIdMapWithMetadata to know if a field is searchable and retrieve the locales.
The facet database computing is now relying on the FieldIdMapWithMetadata to compute the facet databases, the facet-search and retrieve the locales.
The facet level database computing is now relying on the FieldIdMapWithMetadata and the facet level database are cleared depending on the settings differences (clear_facet_levels_based_on_settings_diff).
The vector point extraction uses the FieldIdMapWithMetadata instead of FieldsIdsMapWithMetadata.
**Impact:**
- Dump import
- Settings update
**Changes:**
The building of the Attributes ranking rule graph was comparing fieldids with weights
which doesn't make sense and may be bug prone, we are now comparing fieldids with fieldids.
**Impact:**
- search: Attribute ranking rule
**Changes:**
The FieldIdMapWithMetadata structure now stores more information about fields.
The metadata_for_field function computes all the needed information relying on the user provided data instead of the enriched data (searchable/sortable)
which may solve an indexing bug on sortable attributes that was not matching the nested fields.
The FieldIdMapWithMetadata structure was duplicated in the embeddings as FieldsIdsMapWithMetadata,
so the FieldsIdsMapWithMetadata has been removed in favor of FieldIdMapWithMetadata.
The Facet distribution is now relying on the FieldIdMapWithMetadata with metadata to match is a field can be faceted.
**Impact:**
- searchable attributes matching
- searchable attributes weight computation
- sortable attributes matching
- faceted fields matching
- prompt computing
- facet distribution
**Changes:**
The search filters are now using the FilterableAttributesFeatures from the FilterableAttributesRules to know if a field is filterable.
Moreover, the FilterableAttributesFeatures is more precise and an error will be returned if an operator is used on a field that doesn't have the related feature.
The facet-search is now checking if the feature is allowed in the FilterableAttributesFeatures and an error will be returned if the field doesn't have the related feature.
**Impact:**
- facet-search is now relying on AttributePatterns to match the locales
- search using filters is now relying on FilterableAttributesFeatures
- distinct attribute is now relying on FilterableAttributesRules
**Changes:**
The filterableAttributes type has been changed from a `BTreeSet<String>` to a `Vec<FilterableAttributesRule>`,
Which is a list of rules defining patterns to match the documents' fields and a set of feature to apply on the matching fields.
The rule order given by the user is now an important information, the features applied on a filterable field will be chosen based on the rule order as we do for the LocalizedAttributesRules.
This means that the list will not be reordered anymore and will keep the user defined order,
moreover, if there are any duplicates, they will not be de-duplicated anymore.
**Impact:**
- Settings API
- the database format of the filterable attributes changed
- may impact the LocalizedAttributesRules due to the AttributePatterns factorization
- OpenAPI generator
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5355: Support fetching the pooling method from the model configuration r=Kerollmops a=dureuill
# Pull Request
## Related issue
Fixes#5354
## What does this PR do?
- Fetches the pooling configuration from the model repository
- Use a pooling method that depends on the pooling configuration of that model.
- Allow overriding the pooling method with a new huggingFace embedder parameter `pooling`
- for backward-compatibility with Meilisearch v1.13
- for compatibility with embedders that exhibit the same behavior as Meilisearch v1.13
- Handle the default value of that new parameter
- for compatibility, when importing a db/a dump, it should be set to `forceMean`
- when (re)set from the settings for an embedder, it should be set to `useModel`
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
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5364: Rename `callTrace` into `progressTrace` r=Kerollmops a=Kerollmops
Rename the `callTrace` field into a `progressTrace`.
Co-authored-by: Kerollmops <clement@meilisearch.com>
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5351: Bring back v1.13.0 changes into main r=irevoire a=Kerollmops
This PR brings back the changes made in v1.13 into the main branch.
Co-authored-by: ManyTheFish <many@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: Clémentine <clementine@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
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5342: Fix workload sha r=dureuill a=ManyTheFish
The dataset shasum was wrong for some workloads making the `/bench workloads/*.json` crash
Co-authored-by: ManyTheFish <many@meilisearch.com>
5339: Add back timeout from v1.11.3 r=Kerollmops a=dureuill
# Pull Request
## Related issue
Fixes#5337
## What does this PR do?
- Fix regression compared with v1.11 by reintroducing the 30s timeout on all REST API calls.
Thanks to `@migueltarga` for reporting the issue
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
5336: Meilitool Hair Dryer r=dureuill a=Kerollmops
This pull request introduces a new subcommand to hair dry a specific part of specific indexes. It is useful when [the memory-mapped pages are not hot in the cache](https://arc.net/l/quote/ixhcdwcq) and must be. Hair drying those interesting pages makes the search requests using the vector store much faster.
The previous technique used the "cat method," which consists of reading the whole LMDB data file and pipping it into the null file descriptor. By doing that, the whole LMDB data file becomes hot in the cache. However, when the database is large, at least 30% of it is free, and unused pages and many other pages don't need to be hot, e.g., raw JSON documents or uninteresting parts of the inverted index.
This new subcommand reads all the Arroy pages of a given index to make them hot, and only those. More coming...
The current algorithm is single-threaded and takes a lot of time. I am in the process of multithreading it. This is the time it takes to hair dry a 305GiB database with a single thread.
```
real 21m51.054s
user 0m3.155s
sys 0m19.393s
```
## To Do
- [ ] (optional) Do the reads in parallel.
Co-authored-by: Kerollmops <clement@meilisearch.com>
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5324: Mention utoipa in sprint issues r=curquiza a=irevoire
Update the sprint-issue template to mention the openAPI file and utoipa.
Let me know if something is not clear or missing
Co-authored-by: Tamo <tamo@meilisearch.com>
5149: Ensure the settings routes are now configurated when a new field is added to the Settings struct r=curquiza a=MichaScant
# Pull Request
## Related issue
Fixes#5126
## What does this PR do?
Ensures the settings routes are properly configured before a new field is added to the settings structure. Changes were made based on what was proposed in the original issue, any new field for settings struct is added in the [make_settings_route! macro list](6298db5bea/crates/meilisearch/src/routes/indexes/settings.rs (L182-L403))
## PR checklist
Please check if your PR fulfills the following requirements:
- [ ] Does this PR fix an existing issue, or have you listed the changes applied in the PR description (and why they are needed)?
- [ ] Have you read the contributing guidelines?
- [ ] Have you made sure that the title is accurate and descriptive of the changes?
Thank you so much for contributing to Meilisearch!
Co-authored-by: michascant <89426143+MichaScant@users.noreply.github.com>
5332: Fix geo update r=Kerollmops a=dureuill
# Pull Request
## Related issue
Fixes#5331
## What does this PR do?
- use the merged version that contains all fields instead of the updated version that contains only updated fields
- add test that detects the problem
- As it is the second time that `changes.updated` is causing a bug, I'm changing its name to `only_changed_fields`, hopefully better communicating that old fields are not there
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
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5326: Expose a route to get the file content associated with a task r=Kerollmops a=Kerollmops
This PR exposes a new `/tasks/{taskUid}/documents` route, exposing the update file associated with a task.
## To Do
- [x] (optional) Change the route to `/tasks/{taskUid}/documents` `@dureuill.`
- [x] Update Open API example.
- [x] Create [an Experimental Feature Discussion](https://github.com/orgs/meilisearch/discussions/808).
- [x] Make this route experimental and enable it via the experimental route.
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
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5316: Fix the dumpless upgrade corruption r=dureuill a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/5280
## What does this PR do?
- Add a test that ensure we write the version in the index-scheduler even if we have a bug while writing the VERSION file
- Do what was described in the issue
Co-authored-by: Tamo <tamo@meilisearch.com>
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5308: Ollama Integration Tests r=dureuill a=Kerollmops
This PR improves test coverage of #4757 by providing a new CI to test the Ollama setup with Ollama.
## To Do
- [x] Clean up the commits
- [x] Feature gate the Ollama tests and run them only in the CI
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
5322: Make sure arroy is using the rayon thread-pool r=dureuill a=Kerollmops
This PR fixes#5249 by ensuring arroy uses the rayon thread pool.
Co-authored-by: Kerollmops <clement@meilisearch.com>
4970: Create a new export documents meilitool subcommand r=dureuill a=Kerollmops
This subcommand can be useful for extracting documents from an existing database.
Co-authored-by: Kerollmops <clement@meilisearch.com>
5314: Activate used database size r=irevoire a=ManyTheFish
# Pull Request
make the `/stats` route return the `usedDatabaseSize` corresponding to the size used to store the "real" data in the database and not the disk size used by LMDB
Co-authored-by: ManyTheFish <many@meilisearch.com>
5312: Send the OSS analytics once per day instead of once per hour r=ManyTheFish a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/5311
## What does this PR do?
- If the instance is OSS => we send the analytics once every day
- If the instance is on the meilisearch cloud => we send the analytics every hour
Co-authored-by: Tamo <tamo@meilisearch.com>
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5288: Improve AI logging r=dureuill a=Kerollmops
This PR fixes#5285 and brings the changes from #5233 to simplify debugging indexation and search performance issues related to AI. The following texts can be found in the logs to debug and understand performance issues:
- `embed_one: search` represents the time we spent waiting for the embedding generation, i.e., OpenAI, local HuggingFace, Ollama.
- `filtered_universe: search::universe` the time spent filtering the documents.
- ~`next_bucket: search::vector_sort` is the time spent finding the nearest neighbors (ANNs) in the vector store (arroy), locally~ was being triggered too many times.
- `indexing::vectors` is the time arroy spends indexing the new vectors for a batch.
- `documents::extract vectors` and `documents::merge vectors` to see the time spent generating and writing the embeddings.
Co-authored-by: Kerollmops <clement@meilisearch.com>
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5306: Fix internal error when passing `documentTemplateMaxBytes` to a source that doesn't support it r=ManyTheFish a=dureuill
# Pull Request
## Related issue
Fixes#5305
## What does this PR do?
- add `DOCUMENT_TEMPLATE_MAX_BYTES` to `allowed_sources_for_field` and `allowed_fields_for_source` to prevent a panic
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
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5293: Support merging update and replacement operations r=irevoire a=Kerollmops
This PR fixes#5286 by modifying the auto-batcher and how we merge documents when preparing them for the new indexer.
## To do
- [x] Make sure we can auto-batch different operation types.
- [x] Make sure the indexer correctly understands and mixes the different kinds.
- [x] Create a test to see if it mixes the documents correctly.
- [x] Modify the auto-batcher tests for the new behavior.
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
5303: Bring back changes from v1.12.8 into v1.13.0 r=Kerollmops a=Kerollmops
Fixes#5087 and other problems that you can find in the original PR #5294.
Co-authored-by: Kerollmops <clement@meilisearch.com>
5235: Introduce a compaction subcommand in meilitool r=dureuill a=Kerollmops
This PR proposes a change to the meilitool helper, introducing the `compact-index` subcommand to reduce the size of the indexes.
While working on this tool, I discovered that the current heed `Env::copy_to_file` API is not very temp file friendly and [could be improved](https://github.com/meilisearch/heed/issues/306).
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
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5140: Fix workload inversion r=dureuill a=ManyTheFish
The used assets were inverted between `workloads/hackernews-modify-facet-numbers.json`
and `workloads/hackernews-modify-facet-strings.json`, now fixed.
Co-authored-by: ManyTheFish <many@meilisearch.com>
5300: Improve unexpected panic message r=irevoire a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/5273
## What does this PR do?
- When an unexpected panic happens in the index-scheduler we catch it and rebuild an error message from the join_error
- Same when the upgrade index-scheduler fails
Co-authored-by: Tamo <tamo@meilisearch.com>
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5177: Debug log the channel congestion r=Kerollmops a=Kerollmops
This PR displays the congestion of the BBQueue channel and the allocated memory for the channel and the extraction. This information can be beneficial for debugging and noticing slow disks. We show three pieces of information in debug:
- The direct attempts: the number of tries to send something in the BBQueue channel,
- The blocked attempts: the number of unsuccessful attempts that must be retried,
- The congestion: The percentage of blocking attempts. The higher, the slower the receiver and, therefore, the disk.
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
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5272: Fix Batches Deletion and flaky tests r=irevoire a=Kerollmops
- This issue fixes#5263 by removing the batches from the date and time databases.
- It also introduces a new `enqueued_at` field in the batch object to quickly retrieve them in the `batches.enqueued_at` database
- Finally, it probably fixes all the flaky tests of the batches: https://github.com/meilisearch/meilisearch/issues/5256
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
5289: Fix workload files after removing the vectorStore experimental feature r=Kerollmops a=dureuill
Running the bench [currently fails](https://github.com/meilisearch/meilisearch/actions/runs/12990029453) on embedding-related workloads, due to the call to `/experimental-features` that is used to enable the vector store:
In v1.13, `vectorStore` is no longer an experimental feature, so trying to enable it causes a 400
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
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5210: Improve test performance of get_index.rs r=irevoire a=DerTimonius
# Pull Request
## Related issue
related to #4840
## What does this PR do?
This PR aims to improve the performance of the tests in `get_index.rs`.
There is a small issue though:
the `list_multiple_indexes` test works great when ran alone, but when running with other tests it fails with a `corrupted task queue` error. I guess this has something to do with using a shared server, but I was not really able to pinpoint the issue.
Also, the `no_index_return_empty_list` does not work a shared server (as there now will always be at least one index on the server) and I was not really sure if rebuilding the whole suite for `get_and_paginate_indexes` should be viable? While waiting for feedback on the issue mentioned above, I'll try to change the `get_and_paginate_indexes` test so that it can use the shared server
## PR checklist
Please check if your PR fulfills the following requirements:
- [x] Does this PR fix an existing issue, or have you listed the changes applied in the PR description (and why they are needed)?
- [x] Have you read the contributing guidelines?
- [x] Have you made sure that the title is accurate and descriptive of the changes?
Thank you so much for contributing to Meilisearch!
Co-authored-by: Timon Jurschitsch <timon.jurschitsch@gmail.com>
Co-authored-by: Timon Jurschitsch <103483059+DerTimonius@users.noreply.github.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
about: ⚠️ Should only be used by the engine team ⚠️
name: New feature issue
about: ⚠️ Should only be used by the internal Meili team ⚠️
title: ''
labels: 'missing usage in PRD, impacts docs'
labels: 'impacts docs, impacts integrations'
assignees: ''
---
Related product team resources: [PRD]() (_internal only_)
Related product discussion:
## Motivation
<!---Copy/paste the information in PRD or briefly detail the product motivation. Ask product team if any hesitation.-->
## Usage
<!---Link to the public part of the PRD, or to the related product discussion for experimental features-->
TBD
## TODO
<!---If necessary, create a list with technical/product steps-->
### Are you modifying a database?
- [ ] If not, add the `no db change` label to your PR, and you're good to merge.
- [ ] If yes, add the `db change` label to your PR. You'll receive a message explaining you what to do.
### Reminders when modifying the API
- [ ] Update the openAPI file with utoipa:
- [ ] If a new module has been introduced, create a new structure deriving [the OpenAPI proc-macro](https://docs.rs/utoipa/latest/utoipa/derive.OpenApi.html) and nest it in the main [openAPI structure](https://github.com/meilisearch/meilisearch/blob/f2185438eed60fa32d25b15480c5ee064f6fba4a/crates/meilisearch/src/routes/mod.rs#L64-L78).
- [ ] If a new route has been introduced, add the [path decorator](https://docs.rs/utoipa/latest/utoipa/attr.path.html) to it and add the route at the top of the file in its openAPI structure.
- [ ] If a structure which is deserialized or serialized in the API has been introduced or modified, it must derive the [`schema`](https://docs.rs/utoipa/latest/utoipa/macro.schema.html) or the [`IntoParams`](https://docs.rs/utoipa/latest/utoipa/derive.IntoParams.html) proc-macro.
If it's a **new** structure you must also add it to the big list of structures [in the main `OpenApi` structure](https://github.com/meilisearch/meilisearch/blob/f2185438eed60fa32d25b15480c5ee064f6fba4a/crates/meilisearch/src/routes/mod.rs#L88).
- [ ] Once everything is done, start Meilisearch with the swagger flag: `cargo run --features swagger`, open `http://localhost:7700/scalar` on your browser, and ensure everything works as expected.
- For more info, refer to [this presentation](https://pitch.com/v/generating-the-openapi-file-jrn3nh).
### Reminders when modifying the Setting API
<!--- Special steps to remind when adding a new index setting -->
@@ -40,5 +52,5 @@ Related product discussion:
## Impacted teams
<!---Ping the related teams. Ask for the engine manager if any hesitation-->
<!---@meilisearch/docs-team when there is any API change, e.g. settings addition-->
<!---Ping the related teams. Ask on Slack if any hesitation-->
<!---@meilisearch/docs-team and @meilisearch/integration-team when there is any API change, e.g. settings addition-->
⚠️ Ensure the following requirements before merging ⚠️
- [ ] Automated tests have been added.
- [ ] If some tests cannot be automated, manual rigorous tests should be applied.
- [ ] ⚠️ If there is any change in the DB:
- [ ] Test that any impacted DB still works as expected after using `--experimental-dumpless-upgrade` on a DB created with the last released Meilisearch
- [ ] Test that during the upgrade, **search is still available** (artificially make the upgrade longer if needed)
- [ ] Set the `db change` label.
- [ ] If necessary, the feature have been tested in the Cloud production environment (with [prototypes](./documentation/prototypes.md)) and the Cloud UI is ready.
- [ ] If necessary, the [documentation](https://github.com/meilisearch/documentation) related to the implemented feature in the PR is ready.
- [ ] If necessary, the [integrations](https://github.com/meilisearch/integration-guides) related to the implemented feature in the PR are ready.
This issue is about updating Meilisearch dependencies:
- [ ] Update Meilisearch dependencies with the help of `cargo +nightly udeps --all-targets` (remove unused dependencies) and `cargo upgrade` (upgrade dependencies versions) - ⚠️ Some repositories may contain subdirectories (like heed, charabia, or deserr). Take care of updating these in the main crate as well. This won't be done automatically by `cargo upgrade`.
- [ ] If new Rust versions have been released, update the minimal Rust version in use at Meilisearch:
- [ ] in this [GitHub Action file](https://github.com/meilisearch/meilisearch/blob/main/.github/workflows/test-suite.yml), by changing the `toolchain` field of the `rustfmt` job to the latest available nightly (of the day before or the current day).
- [ ] in every [GitHub Action files](https://github.com/meilisearch/meilisearch/blob/main/.github/workflows), by changing all the `dtolnay/rust-toolchain@` references to use the latest stable version.
- [ ] in this [`rust-toolchain.toml`](https://github.com/meilisearch/meilisearch/blob/main/rust-toolchain.toml), by changing the `channel` field to the latest stable version.
- [ ] in the [Dockerfile](https://github.com/meilisearch/meilisearch/blob/main/Dockerfile), by changing the base image to `rust:<target_rust_version>-alpine<alpine_version>`. Check that the image exists on [Dockerhub](https://hub.docker.com/_/rust/tags?page=1&name=alpine). Also, build and run the image to check everything still works!
⚠️ This issue should be prioritized to avoid any deprecation and vulnerability issues.
The GitHub action dependencies are managed by [Dependabot](https://github.com/meilisearch/meilisearch/blob/main/.github/dependabot.yml), so no need to update them when solving this issue.
You are receiving this message because you declared that this PR make changes to the Meilisearch database.
Depending on the nature of the change, additional actions might be required on your part. The following sections detail the additional actions depending on the nature of the change, please copy the relevant section in the description of your PR, and make sure to perform the required actions.
Thank you for contributing to Meilisearch :heart:
## This PR makes forward-compatible changes
*Forward-compatible changes are changes to the database such that databases created in an older version of Meilisearch are still valid in the new version of Meilisearch. They usually represent additive changes, like adding a new optional attribute or setting.*
- [ ] Detail the change to the DB format and why they are forward compatible
- [ ] Forward-compatibility: A database created before this PR and using the features touched by this PR was able to be opened by a Meilisearch produced by the code of this PR.
## This PR makes breaking changes
*Breaking changes are changes to the database such that databases created in an older version of Meilisearch need changes to remain valid in the new version of Meilisearch. This typically happens when the way to store the data changed (change of database, new required key, etc). This can also happen due to breaking changes in the API of an experimental feature. ⚠️ This kind of changes are more difficult to achieve safely, so proceed with caution and test dumpless upgrade right before merging the PR.*
- [ ] Detail the changes to the DB format,
- [ ] which are compatible, and why
- [ ] which are not compatible, why, and how they will be fixed up in the upgrade
- [ ] /!\ Ensure all the read operations still work!
- If the change happened in milli, you may need to check the version of the database before doing any read operation
- If the change happened in the index-scheduler, make sure the new code can immediately read the old database
- If the change happened in the meilisearch-auth database, reach out to the team; we don't know yet how to handle these changes
- [ ] Write the code to go from the old database to the new one
- If the change happened in milli, the upgrade function should be written and called [here](https://github.com/meilisearch/meilisearch/blob/3fd86e8d76d7d468b0095d679adb09211ca3b6c0/crates/milli/src/update/upgrade/mod.rs#L24-L47)
- If the change happened in the index-scheduler, we've never done it yet, but the right place to do it should be [here](https://github.com/meilisearch/meilisearch/blob/3fd86e8d76d7d468b0095d679adb09211ca3b6c0/crates/index-scheduler/src/scheduler/process_upgrade/mod.rs#L13)
- [ ] Write an integration test [here](https://github.com/meilisearch/meilisearch/blob/main/crates/meilisearch/tests/upgrade/mod.rs) ensuring you can read the old database, upgrade to the new database, and read the new database as expected
Furthermore, you can improve incremental compilation by setting the `MEILI_NO_VERGEN` environment variable.
@@ -95,6 +103,23 @@ Meilisearch follows the [cargo xtask](https://github.com/matklad/cargo-xtask) wo
Run `cargo xtask --help` from the root of the repository to find out what is available.
#### Update the openAPI file if the APIchanged
To update the openAPI file in the code, see [sprint_issue.md](https://github.com/meilisearch/meilisearch/blob/main/.github/ISSUE_TEMPLATE/sprint_issue.md#reminders-when-modifying-the-api).
If you want to generate OpenAPI file manually:
With swagger:
- Starts Meilisearch with the `swagger` feature flag: `cargo run --features swagger`
- On a browser, open the following URL: http://localhost:7700/scalar
- Click the « Download openAPI file »
With the internal crate:
```bash
cd crates/openapi-generator
cargo run --release -- --pretty --output meilisearch.json
```
### Logging
Meilisearch uses [`tracing`](https://lib.rs/crates/tracing) for logging purposes. Tracing logs are structured and can be displayed as JSON to the end user, so prefer passing arguments as fields rather than interpolating them in the message.
@@ -145,28 +170,39 @@ Some notes on GitHub PRs:
- The PR title should be accurate and descriptive of the changes.
- [Convert your PR as a draft](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/changing-the-stage-of-a-pull-request) if your changes are a work in progress: no one will review it until you pass your PR as ready for review.<br>
The draft PRs are recommended when you want to show that you are working on something and make your work visible.
- The branch related to the PR must be **up-to-date with `main`** before merging. Fortunately, this project uses [Bors](https://github.com/bors-ng/bors-ng) to automatically enforce this requirement without the PR author having to rebase manually.
- The branch related to the PR must be **up-to-date with `main`** before merging. Fortunately, this project uses [GitHub Merge Queues](https://github.blog/news-insights/product-news/github-merge-queue-is-generally-available/) to automatically enforce this requirement without the PR author having to rebase manually.
## Release Process (for internal team only)
## Merging PRs
This project uses GitHub Merge Queues that helps us manage pull requests merging.
Before merging a PR, the maintainer should ensure the following requirements are met
- Automated tests have been added.
- If some tests cannot be automated, manual rigorous tests should be applied.
- ⚠️ If there is an change in the DB: it's mandatory to manually test the `--experimental-dumpless-upgrade` on a DB of the previous Meilisearch minor version (e.g. v1.13 for the v1.14 release).
- If necessary, the feature have been tested in the Cloud production environment (with [prototypes](./documentation/prototypes.md)) and the Cloud UI is ready.
- If necessary, the [documentation](https://github.com/meilisearch/documentation) related to the implemented feature in the PR is ready.
- If necessary, the [integrations](https://github.com/meilisearch/integration-guides) related to the implemented feature in the PR are ready.
## Publish Process (for internal team only)
Meilisearch tools follow the [Semantic Versioning Convention](https://semver.org/).
### Automation to rebase and Merge the PRs
### How to publish a new release
This project integrates a bot that helps us manage pull requests merging.<br>
_[Read more about this](https://github.com/meilisearch/integration-guides/blob/main/resources/bors.md)._
### How to Publish a new Release
The full Meilisearch release process is described in [this guide](https://github.com/meilisearch/engine-team/blob/main/resources/meilisearch-release.md). Please follow it carefully before doing any release.
The full Meilisearch release process is described in [this guide](./documentation/release.md).
### How to publish a prototype
Depending on the developed feature, you might need to provide a prototyped version of Meilisearch to make it easier to test by the users.
This happens in two steps:
- [Release the prototype](https://github.com/meilisearch/engine-team/blob/main/resources/prototypes.md#how-to-publish-a-prototype)
- [Communicate about it](https://github.com/meilisearch/engine-team/blob/main/resources/prototypes.md#communication)
- [Release the prototype](./documentation/prototypes.md#how-to-publish-a-prototype)
- [Communicate about it](./documentation/prototypes.md#communication)
### How to implement and publish an experimental feature
Here is our [guidelines and process](./documentation/experimental-features.md) to implement and publish an experimental feature.
<palign="center">⚡ A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow 🔍</p>
@@ -41,7 +41,7 @@
- [**Movies**](https://where2watch.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=organization) — An application to help you find streaming platforms to watch movies using [hybrid search](https://www.meilisearch.com/solutions/hybrid-search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos).
- [**Ecommerce**](https://ecommerce.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos) — Ecommerce website using disjunctive [facets](https://www.meilisearch.com/docs/learn/fine_tuning_results/faceted_search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos), range and rating filtering, and pagination.
- [**Songs**](https://music.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos) — Search through 47 million of songs.
- [**SaaS**](https://saas.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos) —Search for contacts, deals, and companies in this [multi-tenant](https://www.meilisearch.com/docs/learn/security/multitenancy_tenant_tokens?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos) CRM application.
- [**SaaS**](https://saas.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos) —Search for contacts, deals, and companies in this [multi-tenant](https://www.meilisearch.com/docs/learn/security/multitenancy_tenant_tokens?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos) CRM application.
See the list of all our example apps in our [demos repository](https://github.com/meilisearch/demos).
@@ -99,7 +99,7 @@ If you want to know more about the kind of data we collect and what we use it fo
## 📫 Get in touch!
Meilisearch is a search engine created by [Meili]([https://www.welcometothejungle.com/en/companies/meilisearch](https://www.meilisearch.com/careers)), a software development company headquartered in France and with team members all over the world. Want to know more about us? [Check out our blog!](https://blog.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=contact)
Meilisearch is a search engine created by [Meili](https://www.meilisearch.com/careers), a software development company headquartered in France and with team members all over the world. Want to know more about us? [Check out our blog!](https://blog.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=contact)
🗞 [Subscribe to our newsletter](https://meilisearch.us2.list-manage.com/subscribe?u=27870f7b71c908a8b359599fb&id=79582d828e) if you don't want to miss any updates! We promise we won't clutter your mailbox: we only send one edition every two months.
@@ -119,6 +119,6 @@ Meilisearch is, and will always be, open-source! If you want to contribute to th
Meilisearch releases and their associated binaries are available on the project's [releases page](https://github.com/meilisearch/meilisearch/releases).
The binaries are versioned following [SemVer conventions](https://semver.org/). To know more, read our [versioning policy](https://github.com/meilisearch/engine-team/blob/main/resources/versioning-policy.md).
The binaries are versioned following [SemVer conventions](https://semver.org/). To know more, read our [versioning policy](./documentation/versioning-policy.md).
Differently from the binaries, crates in this repository are not currently available on [crates.io](https://crates.io/) and do not follow [SemVer conventions](https://semver.org).
writeln!(f,"Was expecting one of `.fragments`, `.userProvided`, `.documentTemplate`, `.regenerate` or nothing, but instead found a point without a valid value.")?;
writeln!(f,"Was expecting one of `fragments`, `userProvided`, `documentTemplate`, `regenerate` or nothing, but instead found `{value}`. Did you mean `{suggestion}`?")?;
}else{
writeln!(f,"Was expecting one of `fragments`, `userProvided`, `documentTemplate`, `regenerate` or nothing, but instead found `{value}`.")?;
writeln!(f,"Vector filter can only accept one of `fragments`, `userProvided`, `documentTemplate` or `regenerate`, but found both `{previous_filter_kind}` and `{value}`.")?
},
ErrorKind::VectorFilterInvalidFragment=>{
writeln!(f,"The vector filter's fragment name is invalid.")?
}
ErrorKind::VectorFilterMissingFragment=>{
writeln!(f,"The vector filter is missing a fragment name.")?
}
ErrorKind::VectorFilterMissingEmbedder=>{
writeln!(f,"Was expecting embedder name but found nothing.")?
}
ErrorKind::VectorFilterInvalidEmbedder=>{
writeln!(f,"The vector filter's embedder name is invalid.")?
}
ErrorKind::VectorFilterOperation=>{
writeln!(f,"Was expecting an operation like `EXISTS` or `NOT EXISTS` after the vector filter.")?
}
ErrorKind::VectorFilterInvalidQuotes=>{
writeln!(f,"The quotes in one of the values are inconsistent.")?
}
ErrorKind::ReservedKeyword(word)=>{
writeln!(f,"`{word}` is a reserved keyword and thus cannot be used as a field name unless it is put inside quotes. Use \"{word}\" or \'{word}\' instead.")?
Was expecting one of `fragments`, `userProvided`, `documentTemplate`, `regenerate` or nothing, but instead found `fargments`. Did you mean `fragments`?
#[error("Cannot rename `{0}` to `{1}` as the index already exists. Hint: You can remove `{1}` first and then do your remove.")]
SwapIndexFoundDuringRename(String,String),
#[error("Meilisearch cannot receive write operations because the limit of the task database has been reached. Please delete tasks to continue performing write operations.")]
#[error("The following indexes are being renamed but cannot because their new name conflicts with an already existing index: {}. Renaming doesn't overwrite the other index name.",
#[error("Task `{0}` does not contain any documents. Only `documentAdditionOrUpdate` tasks with the statuses `enqueued` or `processing` contain documents")]
TaskFileNotFound(TaskId),
#[error("Batch `{0}` not found.")]
BatchNotFound(BatchId),
#[error("Query parameters to filter the tasks to delete are missing. Available query parameters are: `uids`, `indexUids`, `statuses`, `types`, `canceledBy`, `beforeEnqueuedAt`, `afterEnqueuedAt`, `beforeStartedAt`, `afterStartedAt`, `beforeFinishedAt`, `afterFinishedAt`.")]
#[error("The index scheduler is in version v{}.{}.{}, but Meilisearch is in version v{}.{}.{}.\n - hint: start the correct version of Meilisearch, or consider updating your database. See also <https://www.meilisearch.com/docs/learn/update_and_migration/updating>",
#[error("Index `{index}` is in version v{}.{}.{}, but Meilisearch is in version v{}.{}.{}.\n - note: this is an internal error, please consider filing a bug report: <https://github.com/meilisearch/meilisearch/issues/new?template=bug_report.md>",
/// 1. The name of the property being observed can be `statuses`, `types`, or `indexes`.
/// 2. The name of the specific data related to the property can be `enqueued` for the `statuses`, `settingsUpdate` for the `types`, or the name of the index for the `indexes`, for example.
/// 3. The number of times the properties appeared.
0 {uid: 0, details: {"primaryKey":"mouse"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"catto":1}}, stop reason: "created batch containing only task with id 0 of type `indexCreation` that cannot be batched with any other task.", }
1 {uid: 1, details: {"primaryKey":"sheep","matchedTasks":3,"canceledTasks":2,"originalFilter":"test_query","swaps":[{"indexes":["catto","doggo"],"rename":false}]}, stats: {"totalNbTasks":3,"status":{"succeeded":1,"canceled":2},"types":{"indexCreation":1,"indexSwap":1,"taskCancelation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 3 of type `taskCancelation` that cannot be batched with any other task.", }
0 {uid: 0, details: {"primaryKey":"bone"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 0 of type `indexCreation` that cannot be batched with any other task.", }
1 {uid: 1, details: {"primaryKey":"plankton"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"whalo":1}}, stop reason: "created batch containing only task with id 1 of type `indexCreation` that cannot be batched with any other task.", }
2 {uid: 2, details: {"primaryKey":"his_own_vomit"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"catto":1}}, stop reason: "created batch containing only task with id 2 of type `indexCreation` that cannot be batched with any other task.", }
{uid: 1, details: {"primaryKey":"sheep"}, stats: {"totalNbTasks":1,"status":{"processing":1},"types":{"indexCreation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 1 of type `indexCreation` that cannot be batched with any other task.", }
0 {uid: 0, details: {"primaryKey":"mouse"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"catto":1}}, stop reason: "created batch containing only task with id 0 of type `indexCreation` that cannot be batched with any other task.", }
0 {uid: 0, details: {"primaryKey":"mouse"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"catto":1}}, stop reason: "created batch containing only task with id 0 of type `indexCreation` that cannot be batched with any other task.", }
1 {uid: 1, details: {"primaryKey":"sheep"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 1 of type `indexCreation` that cannot be batched with any other task.", }
2 {uid: 2, details: {"primaryKey":"fish"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"indexCreation":1},"indexUids":{"whalo":1}}, stop reason: "created batch containing only task with id 2 of type `indexCreation` that cannot be batched with any other task.", }
0 {uid: 0, details: {"primaryKey":"mouse"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"catto":1}}, stop reason: "created batch containing only task with id 0 of type `indexCreation` that cannot be batched with any other task.", }
1 {uid: 1, details: {"primaryKey":"sheep"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 1 of type `indexCreation` that cannot be batched with any other task.", }
2 {uid: 2, details: {"swaps":[{"indexes":["catto","doggo"],"rename":false}]}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"indexSwap":1},"indexUids":{}}, stop reason: "created batch containing only task with id 2 of type `indexSwap` that cannot be batched with any other task.", }
3 {uid: 3, details: {"swaps":[{"indexes":["catto","whalo"],"rename":false}]}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"indexSwap":1},"indexUids":{}}, stop reason: "created batch containing only task with id 3 of type `indexSwap` that cannot be batched with any other task.", }
0 {uid: 0, details: {"primaryKey":"mouse"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"catto":1}}, stop reason: "created batch containing only task with id 0 of type `indexCreation` that cannot be batched with any other task.", }
1 {uid: 1, details: {"primaryKey":"sheep","matchedTasks":3,"canceledTasks":2,"originalFilter":"test_query","swaps":[{"indexes":["catto","doggo"],"rename":false}]}, stats: {"totalNbTasks":3,"status":{"succeeded":1,"canceled":2},"types":{"indexCreation":1,"indexSwap":1,"taskCancelation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 3 of type `taskCancelation` that cannot be batched with any other task.", }
0 {uid: 0, details: {"primaryKey":"bone"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 0 of type `indexCreation` that cannot be batched with any other task.", }
1 {uid: 1, details: {"primaryKey":"plankton"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"whalo":1}}, stop reason: "created batch containing only task with id 1 of type `indexCreation` that cannot be batched with any other task.", }
2 {uid: 2, details: {"primaryKey":"his_own_vomit"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"catto":1}}, stop reason: "created batch containing only task with id 2 of type `indexCreation` that cannot be batched with any other task.", }
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