7c19c072fa
4631: Split the field id map from the weight of each fields r=Kerollmops a=irevoire # Pull Request ## Related issue Fixes https://github.com/meilisearch/meilisearch/issues/4484 ## What does this PR do? - Make the (internal) searchable fields database always contain the searchable fields (instead of None when the user-defined searchable fields were not defined) - Introduce a new « fieldids_weights_map » that does the mapping between a fieldId and its Weight - Ensure that when two searchable fields are swapped, the field ID map doesn't change anymore (and thus, doesn't re-index) - Uses the weight instead of the order of the searchable fields in the attribute ranking rule at search time - When no searchable attributes are defined, make all their weights equal to zero - When a field is declared as searchable and contains nested fields, all its subfields share the same weight ## Impact on relevancy ### When no searchable attributes are declared When no searchable attributes are declared, all the fields have the same importance instead of randomly giving more importance to the field we've encountered « the most early » in the life of the index. This means that before this PR, send the following json: ```json [ { "id": 0, "name": "kefir", "color": "white" }, { "id": 1, "name": "white", "last name": "spirit" } ] ``` Would make the field `name` more important than the field `color` or `last name`. This means that searching for `white` would make the document `1` automatically higher ranked than the document `0`. After this PR, all the fields have the same weight, and none are considered more important than others. ### When a nested field is made searchable The second behavior change that happened with this PR is in the case you're sending this document, for example: ```json { "id": 0, "name": "tamo", "doggo": { "name": "kefir", "surname": "le kef" }, "catto": "gromez" } ``` Previously, defining the searchable attributes as: `["tamo", "doggo", "catto"]` was actually defining the « real » searchable attributes in the engine as: `["tamo", "doggo", "catto", "doggo.name", "doggo.surname"]`, which means that `doggo.name` and `doggo.surname` were _NOT_ where the user expected them and had completely different weights than `doggo`. In this PR all the weights have been unified, and the « real » searchable fields look like this: ```json [ "tamo", "doggo", "doggo.name", "doggo.surname", "catto"] ^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^ Weight 0 Weight 1 Weight 2 Co-authored-by: Tamo <tamo@meilisearch.com>
Website | Roadmap | Meilisearch Cloud | Blog | Documentation | FAQ | Discord
⚡ A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow 🔍
Meilisearch helps you shape a delightful search experience in a snap, offering features that work out-of-the-box to speed up your workflow.
🔥 Try it! 🔥
✨ Features
- Search-as-you-type: find search results in less than 50 milliseconds
- Typo tolerance: get relevant matches even when queries contain typos and misspellings
- Filtering and faceted search: enhance your users' search experience with custom filters and build a faceted search interface in a few lines of code
- Sorting: sort results based on price, date, or pretty much anything else your users need
- Synonym support: configure synonyms to include more relevant content in your search results
- Geosearch: filter and sort documents based on geographic data
- Extensive language support: search datasets in any language, with optimized support for Chinese, Japanese, Hebrew, and languages using the Latin alphabet
- Security management: control which users can access what data with API keys that allow fine-grained permissions handling
- Multi-Tenancy: personalize search results for any number of application tenants
- Highly Customizable: customize Meilisearch to your specific needs or use our out-of-the-box and hassle-free presets
- RESTful API: integrate Meilisearch in your technical stack with our plugins and SDKs
- Easy to install, deploy, and maintain
📖 Documentation
You can consult Meilisearch's documentation at https://www.meilisearch.com/docs.
🚀 Getting started
For basic instructions on how to set up Meilisearch, add documents to an index, and search for documents, take a look at our Quick Start guide.
⚡ Supercharge your Meilisearch experience
Say goodbye to server deployment and manual updates with Meilisearch Cloud. No credit card required.
🧰 SDKs & integration tools
Install one of our SDKs in your project for seamless integration between Meilisearch and your favorite language or framework!
Take a look at the complete Meilisearch integration list.
⚙️ Advanced usage
Experienced users will want to keep our API Reference close at hand.
We also offer a wide range of dedicated guides to all Meilisearch features, such as filtering, sorting, geosearch, API keys, and tenant tokens.
Finally, for more in-depth information, refer to our articles explaining fundamental Meilisearch concepts such as documents and indexes.
📊 Telemetry
Meilisearch collects anonymized data from users to help us improve our product. You can deactivate this whenever you want.
To request deletion of collected data, please write to us at privacy@meilisearch.com. Don't forget to include your Instance UID in the message, as this helps us quickly find and delete your data.
If you want to know more about the kind of data we collect and what we use it for, check the telemetry section of our documentation.
📫 Get in touch!
Meilisearch is a search engine created by Meili, a software development company based in France and with team members all over the world. Want to know more about us? Check out our blog!
🗞 Subscribe to our newsletter 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.
💌 Want to make a suggestion or give feedback? Here are some of the channels where you can reach us:
- For feature requests, please visit our product repository
- Found a bug? Open an issue!
- Want to be part of our Discord community? Join us!
Thank you for your support!
👩💻 Contributing
Meilisearch is, and will always be, open-source! If you want to contribute to the project, please take a look at our contribution guidelines.
📦 Versioning
Meilisearch releases and their associated binaries are available in this GitHub page.
The binaries are versioned following SemVer conventions. To know more, read our versioning policy.
Differently from the binaries, crates in this repository are not currently available on crates.io and do not follow SemVer conventions.