walrus 0.9.4

walrus

## Walrus


Lightweight Python utilities for working with [Redis](http://redis.io).

The purpose of [walrus](https://github.com/coleifer/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.

walrus consists of:

• Pythonic container classes for the Redis data-types:

  • [Hash](https://walrus.readthedocs.io/en/latest/containers.html#hashes)

  • [List](https://walrus.readthedocs.io/en/latest/containers.html#lists)

  • [Set](https://walrus.readthedocs.io/en/latest/containers.html#sets)

  • [Sorted Set](https://walrus.readthedocs.io/en/latest/containers.html#sorted-sets-zset)

  • [HyperLogLog](https://walrus.readthedocs.io/en/latest/containers.html#hyperloglog)

  • [Array](https://walrus.readthedocs.io/en/latest/containers.html#arrays) (custom type)

  • [BitField](https://walrus.readthedocs.io/en/latest/containers.html#bitfield)

  • [BloomFilter](https://walrus.readthedocs.io/en/latest/containers.html#bloomfilter)

  • [Streams](https://walrus.readthedocs.io/en/latest/streams.html)

• [Autocomplete](https://walrus.readthedocs.io/en/latest/autocomplete.html)

• [Cache](https://walrus.readthedocs.io/en/latest/cache.html) implementation that exposes several decorators for caching function and method calls.

• [Full-text search](https://walrus.readthedocs.io/en/latest/full-text-search.html) supporting set operations.

• [Graph store](https://walrus.readthedocs.io/en/latest/graph.html)

• [Rate-limiting](https://walrus.readthedocs.io/en/latest/rate-limit.html)

• [Locking](https://walrus.readthedocs.io/en/latest/api.html#walrus.Lock)

• Experimental active-record style [Models](https://walrus.readthedocs.io/en/latest/models.html) that support persisting structured information and performing complex queries using secondary indexes.

• More? [More!](https://walrus.readthedocs.io)

### Models

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.

### Found a bug?


Please open a [github issue](https://github.com/coleifer/walrus/issues/new) and I will try my best to fix it!

### Alternative Backends

Walrus also can integrate with the Redis-like databases [rlite](https://github.com/seppo0010/rlite), [ledis](http://ledisdb.io/), and [vedis](http://vedis.symisc.net). Check the [documentation](https://walrus.readthedocs.io/en/latest/alt-backends.html) for more details.