72d3fa4898
4203: Extract external document docids from docs on deletion by filter r=Kerollmops a=dureuill This fixes some of the performance regression observed on `diff-indexing` when doing delete-by-filter with a filter matching many documents. To delete 19 768 771 documents (hackernews dataset, all documents matching `type = comment`), here are the observed time: |branch (commit sha1sum)|time|speed-down factor (lower is better)| |--|--|--| |`main` (48865470d7aaf42fa5bbfd01cf73423afb77addf)|1212.885536s (~20min)|x1.0 (baseline)| |`diff-indexing` (523519fdbfd3a28ca15320641cb096f26230a7ca)|5385.550543s (90min)|x4.44| |**`diff-indexing-extract-primary-key`**(f8289cd974d957d38645ca66c993ca518ec81955)|2582.323324s (43min) | x2.13| So we're still suffering a speed-down of x2.13, but that's much better than x4.44. --- Changes: - Refactor the logic of PrimaryKey extraction to a struct - Add a trait to abstract the extraction of field id from a name between `DocumentBatch` and `FieldIdMap`. - Add `Index::external_id_of` to get the external ids of a bitmap of internal ids. - Use this new method to add new Transform and Batch methods to remove documents that are known to be from the DB. - Modify delete-by-filter to use the new method Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Website | Roadmap | Meilisearch Cloud | Blog | Documentation | FAQ | Discord
⚡ A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow 🔍
🔥 On November 2nd, we are hosting our first-ever live demo and product updates for Meilisearch Cloud. Make sure to register here and bring your questions for live Q&A!
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://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.
You may also want to check out Meilisearch 101 for an introduction to some of Meilisearch's most popular features.
⚡ 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.