django-cacheops | A slick ORM cache with automatic granular event-driven invalidation | Caching library
kandi X-RAY | django-cacheops Summary
kandi X-RAY | django-cacheops Summary
django-cacheops is a Python library typically used in Server, Caching applications. django-cacheops has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install django-cacheops' or download it from GitHub, PyPI.
A slick ORM cache with automatic granular event-driven invalidation.
A slick ORM cache with automatic granular event-driven invalidation.
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Quality
Security
License
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Support
django-cacheops has a medium active ecosystem.
It has 1824 star(s) with 209 fork(s). There are 34 watchers for this library.
It had no major release in the last 12 months.
There are 17 open issues and 297 have been closed. On average issues are closed in 347 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of django-cacheops is 7.0.2
Quality
django-cacheops has no bugs reported.
Security
django-cacheops has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
django-cacheops is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
django-cacheops releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed django-cacheops and discovered the below as its top functions. This is intended to give you an instant insight into django-cacheops implemented functionality, and help decide if they suit your requirements.
- Perform invalidations on object
- Generate a cache key for the query
- Return the model s profile
- Invalidate an object
- Prepare the profiles dictionary
- Tag a decorator
- Parse tag
- Parse args and kwargs
- Return a Redis Redis client
- Import a module
- Return a copy of the model
- Gracefully reap all connections
- Return a cached value
- Run benchmarks
- Sets a cache key
- Queue a call to a transaction
- Returns the primary database
- Return the name of the table
- Called when an object is deleted
- Decorator to handle a tag
- Return a cached object
- Invalidate many - to - many objects
- Generate cache key for the query
- Sets the data in the cache
- Perform invalidated update
- Handle the given label
- Get the first result of the query
Get all kandi verified functions for this library.
django-cacheops Key Features
No Key Features are available at this moment for django-cacheops.
django-cacheops Examples and Code Snippets
No Code Snippets are available at this moment for django-cacheops.
Community Discussions
Trending Discussions on django-cacheops
QUESTION
How to invalidate a view cache using django-cacheops
Asked 2022-Mar-19 at 15:05
I have a view and I cached it in views.py using django-cacheops (https://github.com/Suor/django-cacheops):
...ANSWER
Answered 2022-Mar-19 at 14:37Since you used a named group usr
in your regex, Django passes it as a keyword argument:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-cacheops
You can install using 'pip install django-cacheops' or download it from GitHub, PyPI.
You can use django-cacheops 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.
You can use django-cacheops 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.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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