Skip to main content

Wraps the portalocker recipe for easy usage

Project description

Linux Test Status Windows Tests Status Coverage Status

Overview

Portalocker is a library to provide an easy API to file locking.

An important detail to note is that on Linux and Unix systems the locks are advisory by default. By specifying the -o mand option to the mount command it is possible to enable mandatory file locking on Linux. This is generally not recommended however. For more information about the subject:

The module is currently maintained by Rick van Hattem <Wolph@wol.ph>. The project resides at https://github.com/WoLpH/portalocker . Bugs and feature requests can be submitted there. Patches are also very welcome.

Redis Locks

This library now features a lock based on Redis which allows for locks across multiple threads, processes and even distributed locks across multiple computers.

It is an extremely reliable Redis lock that is based on pubsub.

As opposed to most Redis locking systems based on key/value pairs, this locking method is based on the pubsub system. The big advantage is that if the connection gets killed due to network issues, crashing processes or otherwise, it will still immediately unlock instead of waiting for a lock timeout.

Usage is really easy:

import portalocker

lock = portalocker.RedisLock('some_lock_channel_name')

with lock:
    print('do something here')

The API is essentially identical to the other Lock classes so in addition to the with statement you can also use lock.acquire(...).

Python 2

Python 2 was supported in versions before Portalocker 2.0. If you are still using Python 2, you can run this to install:

pip install "portalocker<2"

Tips

On some networked filesystems it might be needed to force a os.fsync() before closing the file so it’s actually written before another client reads the file. Effectively this comes down to:

with portalocker.Lock('some_file', 'rb+', timeout=60) as fh:
    # do what you need to do
    ...

    # flush and sync to filesystem
    fh.flush()
    os.fsync(fh.fileno())

Examples

To make sure your cache generation scripts don’t race, use the Lock class:

>>> import portalocker
>>> with portalocker.Lock('somefile', timeout=1) as fh:
...     print >>fh, 'writing some stuff to my cache...'

To customize the opening and locking a manual approach is also possible:

>>> import portalocker
>>> file = open('somefile', 'r+')
>>> portalocker.lock(file, portalocker.EXCLUSIVE)
>>> file.seek(12)
>>> file.write('foo')
>>> file.close()

Explicitly unlocking is not needed in most cases but omitting it has been known to cause issues:

>>> import portalocker
>>> with portalocker.Lock('somefile', timeout=1) as fh:
...     print >>fh, 'writing some stuff to my cache...'

To customize the opening and locking a manual approach is also possible:

>>> import portalocker
>>> file = open('somefile', 'r+')
>>> portalocker.lock(file, portalocker.EXCLUSIVE)
>>> file.seek(12)
>>> file.write('foo')
>>> file.close()

Explicitly unlocking is not needed in most cases but omitting it has been known to cause issues:

>>> import portalocker
>>> with portalocker.Lock('somefile', timeout=1) as fh:
...     print >>fh, 'writing some stuff to my cache...'

To customize the opening and locking a manual approach is also possible:

>>> import portalocker
>>> file = open('somefile', 'r+')
>>> portalocker.lock(file, portalocker.LOCK_EX)
>>> file.seek(12)
>>> file.write('foo')
>>> file.close()

Explicitly unlocking is not needed in most cases but omitting it has been known to cause issues: https://github.com/AzureAD/microsoft-authentication-extensions-for-python/issues/42#issuecomment-601108266

If needed, it can be done through:

>>> portalocker.unlock(file)

Do note that your data might still be in a buffer so it is possible that your data is not available until you flush() or close().

To create a cross platform bounded semaphore across multiple processes you can use the BoundedSemaphore class which functions somewhat similar to threading.BoundedSemaphore:

>>> import portalocker
>>> n = 2
>>> timeout = 0.1
>>> semaphore_a = portalocker.BoundedSemaphore(n, timeout=timeout)
>>> semaphore_b = portalocker.BoundedSemaphore(n, timeout=timeout)
>>> semaphore_c = portalocker.BoundedSemaphore(n, timeout=timeout)
>>> semaphore_a.acquire()
<portalocker.utils.Lock object at ...>
>>> semaphore_b.acquire()
<portalocker.utils.Lock object at ...>
>>> semaphore_c.acquire()
Traceback (most recent call last):
  ...
portalocker.exceptions.AlreadyLocked

More examples can be found in the tests.

Changelog

Every realease has a git tag with a commit message for the tag explaining what was added and/or changed. The list of tags including the commit messages can be found here: https://github.com/WoLpH/portalocker/tags

License

See the LICENSE file.

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

portalocker-2.1.0.tar.gz (18.1 kB view details)

Uploaded Source

Built Distribution

portalocker-2.1.0-py2.py3-none-any.whl (13.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file portalocker-2.1.0.tar.gz.

File metadata

  • Download URL: portalocker-2.1.0.tar.gz
  • Upload date:
  • Size: 18.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.8

File hashes

Hashes for portalocker-2.1.0.tar.gz
Algorithm Hash digest
SHA256 0cc50438bdbf0c9534859a010e7d62dc9e021481ff1f240a14fe351229a8a442
MD5 3882f843c306d631bf24ed3fa810da1b
BLAKE2b-256 2a1f7fff00e9dc7253ac5f975f307115bfbaf02c94e8da5d56fc85a32ad115f3

See more details on using hashes here.

File details

Details for the file portalocker-2.1.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for portalocker-2.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f1c749af9f4ef2b05cc378bc3476f6a82675f7e7d634d5bcf726b0d92409a8c2
MD5 25443998df662177ca9a9fd30b672476
BLAKE2b-256 2894690880aa6cd96130fc0abf82ee8087b8de2d3c55515a3e42793c58d8a353

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