django-cachalot | No effort , no worry , maximum performance | Caching library
kandi X-RAY | django-cachalot Summary
kandi X-RAY | django-cachalot Summary
django-cachalot is a Python library typically used in Server, Caching applications. django-cachalot 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-cachalot' or download it from GitHub, PyPI.
No effort, no worry, maximum performance.
No effort, no worry, maximum performance.
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Quality
Security
License
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Support
django-cachalot has a medium active ecosystem.
It has 1030 star(s) with 122 fork(s). There are 24 watchers for this library.
There were 1 major release(s) in the last 12 months.
There are 24 open issues and 128 have been closed. On average issues are closed in 156 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of django-cachalot is 2.6.2
Quality
django-cachalot has 0 bugs and 0 code smells.
Security
django-cachalot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
django-cachalot code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
django-cachalot 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-cachalot releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
It has 4979 lines of code, 335 functions and 41 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed django-cachalot and discovered the below as its top functions. This is intended to give you an instant insight into django-cachalot implemented functionality, and help decide if they suit your requirements.
- Write the condition information
- Return the disk model for a given path
- Show invalidated keys
- Get a set of tables from ORM
- Invalidate cached tables
- Return an iterator over the table names
- Returns a cache key for the query
- Check that all parameters are valid
- Run benchmark
- Benchmark a function
- Benchmark query
- Execute benchmark
- Create data for users
- Terminates the atomic cache
- Commit the cache
- Parse the block
- Parse keyword arguments
- Returns whether the plugin is enabled
- Convert value to a set
- Convert django db_table to django s db tables
Get all kandi verified functions for this library.
django-cachalot Key Features
No Key Features are available at this moment for django-cachalot.
django-cachalot Examples and Code Snippets
No Code Snippets are available at this moment for django-cachalot.
Community Discussions
Trending Discussions on django-cachalot
QUESTION
Unable to use django-cachalot with django-tenants
Asked 2021-Mar-18 at 05:38
Trying to use django-cachalot with django-tenants. I get the following error right at the start. Anyone got a resolution?
...ANSWER
Answered 2021-Mar-18 at 05:38Found a solution — you have to patch django-cachalot to generate a unique cache key for each tenant. See this open Pull Request - https://github.com/noripyt/django-cachalot/pull/123
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-cachalot
You can install using 'pip install django-cachalot' or download it from GitHub, PyPI.
You can use django-cachalot 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-cachalot 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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