python-memcached is a pure Python client for the memcached memory cache daemon. It provides a simple interface for storing and retrieving key-value pairs in one or more memcached servers. Currently at version 1.62, the library is stable but largely in maintenance mode, with `pymemcache` being suggested as a more actively developed alternative. Releases are infrequent but the project is still maintained.
pip install python-memcachedVerified import paths — ran on the pinned version, not inferred.
This quickstart demonstrates how to connect to a Memcached server, set and retrieve string values, store and retrieve Python objects (which are automatically pickled/unpickled), and delete keys using `python-memcached`.
Update code to expect `0` for not found/errors and `1` for success when checking `delete()` results.
Upgrade to a supported Python version (e.g., Python 3.6+).
Ensure all clients in your system are running compatible `python-memcached` versions. Implement explicit encoding/decoding if encountering `bytes` where `str` is expected, or consider a custom serializer/deserializer.
Avoid passing the `time` argument to `delete()`. Memcached `delete` operations are immediate and do not support an expiration time.
Evaluate `pymemcache` for new development. For existing projects, be aware that active feature development for `python-memcached` is minimal.
Design your caching strategy to store smaller, frequently accessed data. For larger objects, consider sharding the data or using an alternative storage solution.
For security-sensitive applications, ensure that only trusted data is unpickled. For better interoperability or performance, explicitly serialize/deserialize complex objects using formats like JSON before passing them to `set()` and after receiving them from `get()`.
Install the package using pip: `pip install python-memcached`
Initialize the client with a list of server addresses, for example: `client = memcache.Client(['127.0.0.1:11211'])`
Verify that the memcached daemon is running and accessible from the application at the specified host and port, e.g., by running `memcached -d`.
Replace `expire` with `time` when specifying the expiration duration, e.g., `client.set('key', 'value', time=30)`Ensure consistency in data serialization by either always storing pickled objects with `python-memcached` or manually handling serialization (e.g., JSON) for interoperability with other clients.
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