Skip to main content

A comprehensive, fast, pure Python memcached client

Project description

pymemcache

https://travis-ci.org/pinterest/pymemcache.png https://img.shields.io/pypi/v/pymemcache.svg Master Documentation Status

A comprehensive, fast, pure-Python memcached client.

pymemcache supports the following features:

  • Complete implementation of the memcached text protocol.

  • Configurable timeouts for socket connect and send/recv calls.

  • Access to the “noreply” flag, which can significantly increase the speed of writes.

  • Flexible, simple approach to serialization and deserialization.

  • The (optional) ability to treat network and memcached errors as cache misses.

Installing pymemcache

Install from pip:

pip install pymemcache

For development, clone from github and run the tests with:

git clone https://github.com/pinterest/pymemcache.git
cd pymemcache
python setup.py nosetests

Usage

See the documentation here: http://pymemcache.readthedocs.org/en/latest/

Comparison with Other Libraries

pylibmc

The pylibmc library is a wrapper around libmemcached, implemented in C. It is fast, implements consistent hashing, the full memcached protocol and timeouts. It does not provide access to the “noreply” flag, and it doesn’t provide a built-in API for serialization and deserialization. It also isn’t pure Python, so using it with libraries like gevent is out of the question.

Python-memcache

The python-memcache library implements the entire memcached text protocol, has a single timeout for all socket calls and has a flexible approach to serialization and deserialization. It is also written entirely in Python, so it works well with libraries like gevent. However, it is tied to using thread locals, doesn’t implement “noreply”, can’t treat errors as cache misses and is slower than both pylibmc and pymemcache. It is also tied to a specific method for handling clusters of memcached servers.

memcache_client

The team at mixpanel put together a pure Python memcached client as well. It has more fine grained support for socket timeouts, only connects to a single host. However, it doesn’t support most of the memcached API (just get, set, delete and stats), doesn’t support “noreply”, has no serialization or deserialization support and can’t treat errors as cache misses.

Credits

Change Log

New in version 1.3.5

  • Bug fix for HashClient when retries is set to zero.

  • Adding the VERSION command to the clients.

New in version 1.3.4

  • Bug fix for the HashClient that corrects behavior when there are no working servers.

New in version 1.3.3

  • Adding caching to the Travis build.

  • A bug fix for pluggable hashing in HashClient.

  • Adding a default_noreply argument to the Client ctor.

New in version 1.3.2

  • Making the location of Memcache Exceptions backwards compatible.

New in version 1.3.0

  • Python 3 Support

  • Introduced HashClient that uses consistent hasing for allocating keys across many memcached nodes. It also can detect servers going down and rebalance keys across the available nodes.

  • Retry sock.recv() when it raises EINTR

New in version 1.2.9

  • Introduced PooledClient a thread-safe pool of clients

Project details


Download files

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

Source Distribution

pymemcache-1.3.5.tar.gz (31.2 kB view details)

Uploaded Source

Built Distribution

pymemcache-1.3.5-py2.py3-none-any.whl (34.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pymemcache-1.3.5.tar.gz.

File metadata

  • Download URL: pymemcache-1.3.5.tar.gz
  • Upload date:
  • Size: 31.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pymemcache-1.3.5.tar.gz
Algorithm Hash digest
SHA256 549aba771cdfdf44f320beeaf605cddd6adf32ba6e54f48d569a81b6c63a970e
MD5 0a9403f88b7548dc878d5a9cadf3290e
BLAKE2b-256 66a127f1400de23b2042fda729e97b0ab828df52760eab81f25c982f2ac1a2c1

See more details on using hashes here.

File details

Details for the file pymemcache-1.3.5-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pymemcache-1.3.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 722f94d5901b871f3832ff178539ca6d4669704100d43c7a619fb95a3f0b4cef
MD5 fd537590411f80917dc5e13a92426004
BLAKE2b-256 29899fe571f20b64f7d4847cb0aefce868ec16b30669419544119d261f20a8c3

See more details on using hashes here.

Supported by

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