Skip to main content
pyelasticache_client
========================

.. image:: https://travis-ci.org/touchvie/pyelasticache_client.svg?branch=master
:target: https://travis-ci.org/touchvie/pyelasticache_client

.. image:: https://img.shields.io/pypi/v/pyelasticache_client.svg
:target: https://pypi.python.org/pypi/pyelasticache_client

A comprehensive, fast, pure-Python memcached client with consistent key hashing
and node autodiscovery.
Forked from the Pinterest pymemcache project:

https://github.com/pinterest/pymemcache


pyelasticache_client 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.
* Optional use of Ketama hashing to consistently distribute cache keys on nodes.
* Automatic cluster nodes autodiscovery and update through the "config cluster" option

Installing pyelasticache_client
===================================

Install from pip:

.. code-block:: bash

pip install pyelasticache_client

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

.. code-block:: bash

git clone https://github.com/touchvie/pyelasticache_client.git
cd pyelasticache_client
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.

External Links
==============

The memcached text protocol reference page:
https://github.com/memcached/memcached/blob/master/doc/protocol.txt

The python-memcached library (another pure-Python library):
https://github.com/linsomniac/python-memcached

Mixpanel's Blog post about their memcached client for Python:
http://code.mixpanel.com/2012/07/16/we-went-down-so-we-wrote-a-better-pure-python-memcache-client/

Mixpanel's pure Python memcached client:
https://github.com/mixpanel/memcache_client

Ketama hashing algorithm:
http://www.last.fm/user/RJ/journal/2007/04/10/rz_libketama_-_a_consistent_hashing_algo_for_memcache_clients

Memcached autodiscovery feature:
http://docs.aws.amazon.com/AmazonElastiCache/latest/UserGuide/AutoDiscovery.AddingToYourClientLibrary.html


Credits
=======

* `Charles Gordon <http://github.com/cgordon>`_
* `Dave Dash <http://github.com/davedash>`_
* `Dan Crosta <http://github.com/dcrosta>`_
* `Julian Berman <http://github.com/Julian>`_
* `Mark Shirley <http://github.com/maspwr>`_
* `Tim Bart <http://github.com/pims>`_
* `Thomas Orozco <http://github.com/krallin>`_
* `Marc Abramowitz <http://github.com/msabramo>`_
* `Marc-Andre Courtois <http://github.com/mcourtois>`_
* `Julien Danjou <http://github.com/jd>`_
* `INADA Naoki <http://github.com/methane>`_
* `James Socol <http://github.com/jsocol>`_
* `Joshua Harlow <http://github.com/harlowja>`_
* `John Anderson <http://github.com/sontek>`_
* `Adam Chainz <http://github.com/adamchainz>`_
* `Ernest W. Durbin III <https://github.com/ewdurbin>`_
* `Remco van Oosterhout <https://github.com/Vhab>`_
* `David Fierro <https://github.com/davidfierro>`_
* `Guillermo Menéndez <https://github.com/gmcorral>`_
* `Natalia Angulo <https://github.com/AnguloHerrera>`_

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

Metadata

Release files for pyelasticache_client 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyelasticache_client 0.1.3
File Size Uploaded
pyelasticache_client-0.1.3.tar.gz 52.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyelasticache_client 0.1.3
File Interpreter ABI Platform
pyelasticache_client-0.1.3-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 109.0 kB

Release files / pyelasticache_client-0.1.3.tar.gz

Download URL pyelasticache_client-0.1.3.tar.gz
Size 52.3 kB
Tags Source
SHA-256 checksum
How to use checksums
2fd7e21d84a93a87e72477c18fb89a20271d3ebf4b33996eb6b9845ad05111aa
BLAKE2b-256 checksum
How to use checksums
c18f48b0386cedc1e395ac1ea44dccc043f589735ab2d0cc8b4fecc00fd44abc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / pyelasticache_client-0.1.3-py2.py3-none-any.whl

Download URL pyelasticache_client-0.1.3-py2.py3-none-any.whl
Size 56.7 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
92608b0979534249051af1fab64fd248bbad1b869eaa40a431972cea1525eaa3
BLAKE2b-256 checksum
How to use checksums
29fa785b73273fdda1296e4e3e35cba955ec039821cb88178decc6eb246e871a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release history Release notifications | RSS feed

This release

0.1.3 This release

2 release files

0.1.2

1 release file

0.1.1

1 release file

0.1

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page