Skip to main content

thread-safe python object pool

Project description

object_poll is a simple thread-safe generic python object pool. Typical use:

import memcache
import object_pool

memcache_pool = ObjectPool(lambda: memcache.Client(['']), max_size=10)
with memcache_pool.item() as memcache:
    memcache.set(b'key', b'value')

The with statement is not required:

    memcache = memcache_pool.get()

It supports a timeout argument as well:

    memcache = memcache_pool.get(timeout=1.0)
except ObjectPoolTimeout:
    import logging
    logging.warning('timed out trying to get memcache connection')

Project details

Download files

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

Files for object_pool, version 0.2
Filename, size File type Python version Upload date Hashes
Filename, size object_pool-0.2.tar.gz (2.2 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page