Skip to main content

Python client for Redis database and key-value store

Project description

redis-py

The Python interface to the Redis key-value store.

CI docs MIT licensed pypi pre-release codecov

Installation | Usage | Advanced Topics | Contributing


**Note: ** redis-py 5.0 will be the last version of redis-py to support Python 3.7, as it has reached end of life. redis-py 5.1 will support Python 3.8+.


Installation

Start a redis via docker:

docker run -p 6379:6379 -it redis/redis-stack:latest

To install redis-py, simply:

$ pip install redis

For faster performance, install redis with hiredis support, this provides a compiled response parser, and for most cases requires zero code changes. By default, if hiredis >= 1.0 is available, redis-py will attempt to use it for response parsing.

$ pip install "redis[hiredis]"

Looking for a high-level library to handle object mapping? See redis-om-python!

Supported Redis Versions

The most recent version of this library supports redis version 5.0, 6.0, 6.2, and 7.0.

The table below highlights version compatibility of the most-recent library versions and redis versions.

Library version Supported redis versions
3.5.3 <= 6.2 Family of releases
>= 4.5.0 Version 5.0 to 7.0
>= 5.0.0 Version 5.0 to current

Usage

Basic Example

>>> import redis
>>> r = redis.Redis(host='localhost', port=6379, db=0)
>>> r.set('foo', 'bar')
True
>>> r.get('foo')
b'bar'

The above code connects to localhost on port 6379, sets a value in Redis, and retrieves it. All responses are returned as bytes in Python, to receive decoded strings, set decode_responses=True. For this, and more connection options, see these examples.

RESP3 Support

To enable support for RESP3, ensure you have at least version 5.0 of the client, and change your connection object to include protocol=3

>>> import redis
>>> r = redis.Redis(host='localhost', port=6379, db=0, protocol=3)

Connection Pools

By default, redis-py uses a connection pool to manage connections. Each instance of a Redis class receives its own connection pool. You can however define your own redis.ConnectionPool.

>>> pool = redis.ConnectionPool(host='localhost', port=6379, db=0)
>>> r = redis.Redis(connection_pool=pool)

Alternatively, you might want to look at Async connections, or Cluster connections, or even Async Cluster connections.

Redis Commands

There is built-in support for all of the out-of-the-box Redis commands. They are exposed using the raw Redis command names (HSET, HGETALL, etc.) except where a word (i.e. del) is reserved by the language. The complete set of commands can be found here, or the documentation.

Advanced Topics

The official Redis command documentation does a great job of explaining each command in detail. redis-py attempts to adhere to the official command syntax. There are a few exceptions:

  • MULTI/EXEC: These are implemented as part of the Pipeline class. The pipeline is wrapped with the MULTI and EXEC statements by default when it is executed, which can be disabled by specifying transaction=False. See more about Pipelines below.

  • SUBSCRIBE/LISTEN: Similar to pipelines, PubSub is implemented as a separate class as it places the underlying connection in a state where it can't execute non-pubsub commands. Calling the pubsub method from the Redis client will return a PubSub instance where you can subscribe to channels and listen for messages. You can only call PUBLISH from the Redis client (see this comment on issue #151 for details).

For more details, please see the documentation on advanced topics page.

Pipelines

The following is a basic example of a Redis pipeline, a method to optimize round-trip calls, by batching Redis commands, and receiving their results as a list.

>>> pipe = r.pipeline()
>>> pipe.set('foo', 5)
>>> pipe.set('bar', 18.5)
>>> pipe.set('blee', "hello world!")
>>> pipe.execute()
[True, True, True]

PubSub

The following example shows how to utilize Redis Pub/Sub to subscribe to specific channels.

>>> r = redis.Redis(...)
>>> p = r.pubsub()
>>> p.subscribe('my-first-channel', 'my-second-channel', ...)
>>> p.get_message()
{'pattern': None, 'type': 'subscribe', 'channel': b'my-second-channel', 'data': 1}

Author

redis-py is developed and maintained by Redis Inc. It can be found here, or downloaded from pypi.

Special thanks to:

  • Andy McCurdy (sedrik@gmail.com) the original author of redis-py.
  • Ludovico Magnocavallo, author of the original Python Redis client, from which some of the socket code is still used.
  • Alexander Solovyov for ideas on the generic response callback system.
  • Paul Hubbard for initial packaging support.

Redis

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

redis-5.0.0.tar.gz (4.6 MB view details)

Uploaded Source

Built Distribution

redis-5.0.0-py3-none-any.whl (250.1 kB view details)

Uploaded Python 3

File details

Details for the file redis-5.0.0.tar.gz.

File metadata

  • Download URL: redis-5.0.0.tar.gz
  • Upload date:
  • Size: 4.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for redis-5.0.0.tar.gz
Algorithm Hash digest
SHA256 5cea6c0d335c9a7332a460ed8729ceabb4d0c489c7285b0a86dbbf8a017bd120
MD5 ee71016b81935b0c6a816ea2efc11963
BLAKE2b-256 1db9b6eeedcbcf487b000f96aa085c842a46d24eab99a5bb05ba6fd917e0ea14

See more details on using hashes here.

File details

Details for the file redis-5.0.0-py3-none-any.whl.

File metadata

  • Download URL: redis-5.0.0-py3-none-any.whl
  • Upload date:
  • Size: 250.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for redis-5.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 06570d0b2d84d46c21defc550afbaada381af82f5b83e5b3777600e05d8e2ed0
MD5 c31fc0d7f7161d97c2de746e2687150d
BLAKE2b-256 dfb2dfdc17f701f7b587f6c89c2b9b6b5978c87a8a785555efc810b064c875de

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page