fc1c3f4a29
4466: Implements the search cutoff r=irevoire a=irevoire # Pull Request ## Related issue Fixes https://github.com/meilisearch/meilisearch/issues/4488 ## What does this PR do? - Adds a cutoff to the bucket sort after 150ms has been spent - Adds a new setting to customize the default value of 150ms - When the time is exceeded, we exit early with what we had the time to sort - If the cutoff has been reached, the search details are updated with a new `Skip` ranking details for the ranking rules that were skipped - Adds analytics to measure the total number of degraded search requests - Adds the number of degraded search requests to the Prometheus metrics and Grafana dashboard - The cutoff **must not** skip the filters; otherwise, we would leak documents to people who don’t have the right to see them Co-authored-by: Tamo <tamo@meilisearch.com> Co-authored-by: Louis Dureuil <louis@meilisearch.com>
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⚡ 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.
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✨ 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
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- 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
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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.
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⚙️ 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.
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Meilisearch collects anonymized data from users to help us improve our product. You can deactivate this whenever you want.
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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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Differently from the binaries, crates in this repository are not currently available on crates.io and do not follow SemVer conventions.