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RediSearch
Full-Text search over Redis by RedisLabs
Overview
RediSearch implements a search engine on top of Redis, but unlike other Redis search libraries, it does not use internal data structures like Sorted Sets.
Inverted indexes are stored as a special compressed data type that allows for fast indexing and search speed, and low memory footprint.
This also enables more advanced features, like exact phrase matching and numeric filtering for text queries, that are not possible or efficient with traditional Redis search approaches.
Docker Image
$ docker run -p 6379:6379 redislabs/redisearch:latest
Mailing List / Forum
Got questions? Feel free to ask at the RediSearch mailing list.
Client Libraries
Official (Redis Labs) and community Clients:
Language
Library
Author
License
Comments
Python
Redis Labs
BSD
Usually the most up-to-date client library
Java
Redis Labs
BSD
Go
Redis Labs
BSD
Incomplete API
JavaScript
Kyle J. Davis
MIT
Partial API, compatible with Reds
JavaScript
Kyle J. Davis
MIT
C#
Marc Gravell
MIT
Part of StackExchange.Redis
PHP
Ethan Hann
MIT
Ruby on Rails
Dmitry Polyakovsky
MIT
Ruby
Victor Ruiz
MIT
Ruby
Nick Pezza
MIT
Also works with Ruby on Rails
Features:
Full-Text indexing of multiple fields in documents.
Incremental indexing without performance loss.
Document ranking (provided manually by the user at index time).
Field weights.
Complex boolean queries with AND, OR, NOT operators between sub-queries.
Prefix matching, fuzzy matching and exact phrase search in full-text queries.
Support for DM phonetic matching
Auto-complete suggestions (with fuzzy prefix suggestions).
Stemming based query expansion in many languages (using Snowball).
Support for logographic (Chinese, etc.) tokenization and querying (using Friso)
Limiting searches to specific document fields (up to 128 fields supported).
Numeric filters and ranges.
Lightweight tag fields for exact-match boolean queries
Geographical search utilizing Redis' own GEO commands.
A powerful aggregations engine.
Supports any utf-8 encoded text.
Retrieve full document content or just ids.
Automatically index existing HASH keys as documents.
Document deletion.
Sortable properties (i.e. sorting users by age or name).
Cluster Support
RediSearch has a distributed cluster version that can scale to billions of documents and hundreds of servers. However, at the moment it is only available as part of Redis Labs Enterprise. See the Redis Labs Website for more info and contact information.
License
Redis Source Available License Agreement - see LICENSE
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