python-redis-lock | Lock context manager implemented via redis SET NX EX
kandi X-RAY | python-redis-lock Summary
kandi X-RAY | python-redis-lock Summary
Lock context manager implemented via redis SET NX EX and BLPOP.
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Top functions reviewed by kandi - BETA
- Run a test
- Runs the main thread
- Creates a Lock object
- Resets all connections
- Reset all scripts
- Register scripts
- Creates a bootstrap environment
- Runs subprocess
- Renew a Lock
- Extend the lock
- Return True if the lock is held
- Get the owner of this bucket
- Read file content
python-redis-lock Key Features
python-redis-lock Examples and Code Snippets
Community Discussions
Trending Discussions on python-redis-lock
QUESTION
Except that python-redis-lock module provides contextmanager for the lock object - what are the differences when compared to the lock object you get from redispy module? what is so special about python-redis-lock?
...ANSWER
Answered 2018-Sep-21 at 23:04I think the context manager is not the major difference here, because if you see code of redis-py Lock they have the __enter__
and __exit__
added in there.
Both the Lock's seem to use SETNX for acquiring the lock:
The major difference I saw in there was the way blocking the threads work.
- In case of python-redis-lock they have been using BLPOP mechanism to block the thread, which to me seems like using redis's own version of blocking mechanism. Github code
Something like:
timed_out = not self._client.blpop(self._signal, blpop_timeout) and timeout
- In case of redis-py they seem use time module and its sleep method to block the thread to check whether the blocking has timedout.
Something like:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install python-redis-lock
You can use python-redis-lock like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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