414b3fae89
3571: Introduce two filters to select documents with `null` and empty fields r=irevoire a=Kerollmops # Pull Request ## Related issue This PR implements the `X IS NULL`, `X IS NOT NULL`, `X IS EMPTY`, `X IS NOT EMPTY` filters that [this comment](https://github.com/meilisearch/product/discussions/539#discussioncomment-5115884) is describing in a very detailed manner. ## What does this PR do? ### `IS NULL` and `IS NOT NULL` This PR will be exposed as a prototype for now. Below is the copy/pasted version of a spec that defines this filter. - `IS NULL` matches fields that `EXISTS` AND `= IS NULL` - `IS NOT NULL` matches fields that `NOT EXISTS` OR `!= IS NULL` 1. `{"name": "A", "price": null}` 2. `{"name": "A", "price": 10}` 3. `{"name": "A"}` `price IS NULL` would match 1 `price IS NOT NULL` or `NOT price IS NULL` would match 2,3 `price EXISTS` would match 1, 2 `price NOT EXISTS` or `NOT price EXISTS` would match 3 common query : `(price EXISTS) AND (price IS NOT NULL)` would match 2 ### `IS EMPTY` and `IS NOT EMPTY` - `IS EMPTY` matches Array `[]`, Object `{}`, or String `""` fields that `EXISTS` and are empty - `IS NOT EMPTY` matches fields that `NOT EXISTS` OR are not empty. 1. `{"name": "A", "tags": null}` 2. `{"name": "A", "tags": [null]}` 3. `{"name": "A", "tags": []}` 4. `{"name": "A", "tags": ["hello","world"]}` 5. `{"name": "A", "tags": [""]}` 6. `{"name": "A"}` 7. `{"name": "A", "tags": {}}` 8. `{"name": "A", "tags": {"t1":"v1"}}` 9. `{"name": "A", "tags": {"t1":""}}` 10. `{"name": "A", "tags": ""}` `tags IS EMPTY` would match 3,7,10 `tags IS NOT EMPTY` or `NOT tags IS EMPTY` would match 1,2,4,5,6,8,9 `tags IS NULL` would match 1 `tags IS NOT NULL` or `NOT tags IS NULL` would match 2,3,4,5,6,7,8,9,10 `tags EXISTS` would match 1,2,3,4,5,7,8,9,10 `tags NOT EXISTS` or `NOT tags EXISTS` would match 6 common query : `(tags EXISTS) AND (tags IS NOT NULL) AND (tags IS NOT EMPTY)` would match 2,4,5,8,9 ## What should the reviewer do? - Check that I tested the filters - Check that I deleted the ids of the documents when deleting documents Co-authored-by: Clément Renault <clement@meilisearch.com> Co-authored-by: Kerollmops <clement@meilisearch.com> |
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README.md
Website | Roadmap | 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 user's 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://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.
You may also want to check out Meilisearch 101 for an introduction to some of Meilisearch's most popular features.
☁️ Meilisearch cloud
Let us manage your infrastructure so you can focus on integrating a great search experience. Try Meilisearch Cloud today.
🧰 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.
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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!
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- For feature requests, please visit our product repository
- Found a bug? Open an issue!
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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.