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The purpose of walrus is to make working with Redis in Python a little easier. Rather than ask you to learn a new library, walrus subclasses and extends the popular redis-py client, allowing it to be used as a drop-in replacement. In addition to all the features in redis-py, walrus adds support for some newer commands, including full support for streams and consumer groups. Persistent structures implemented on top of Hashes. Supports secondary indexes to allow filtering on equality, inequality, ranges, less/greater-than, and a basic full-text search index. The full-text search features a boolean search query parser, porter stemmer, stop-word filtering, and optional double-metaphone implementation.
Features
- Cache implementation that exposes several decorators for caching function and method calls.
- Full-text search supporting set operations.
- Experimental active-record style Models
- Models that support persisting structured information
- Complex queries using secondary indexes
- Persistent structures implemented on top of Hashes
Project Samples
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DatabaseLicense
MIT LicenseFollow Walrus
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