django-elasticache | pylibmc based client for Amazon ElastiCache | Cloud Storage library

by gusdan Python Version: 1.0.3 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | django-elasticache Summary

django-elasticache is a Python library typically used in Storage, Cloud Storage, Amazon S3 applications. django-elasticache has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install django-elasticache' or download it from GitHub, PyPI.

pylibmc based client for Amazon ElastiCache with auto discovery function

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django-elasticache has a low active ecosystem.

It has 82 star(s) with 28 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 11 have been closed. On average issues are closed in 73 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-elasticache is 1.0.3

Quality

django-elasticache has 0 bugs and 0 code smells.

Security

django-elasticache has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

django-elasticache code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

django-elasticache is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

django-elasticache 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.

django-elasticache saves you 137 person hours of effort in developing the same functionality from scratch.

It has 344 lines of code, 27 functions and 7 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed django-elasticache and discovered the below as its top functions. This is intended to give you an instant insight into django-elasticache implemented functionality, and help decide if they suit your requirements.

Return a cached client
Get cluster info
Return list of cluster nodes
Overrides get method
Invalidate cache after failure
Clear cluster nodes cache
Update ElastiCache params

Get all kandi verified functions for this library.

django-elasticache Key Features

No Key Features are available at this moment for django-elasticache.

django-elasticache Examples and Code Snippets

No Code Snippets are available at this moment for django-elasticache.

Community Discussions

Trending Discussions on django-elasticache

Setting up ElastiCache Redis with Elastic BeanStalk + Django

QUESTION

Setting up ElastiCache Redis with Elastic BeanStalk + Django

Asked 2018-Mar-16 at 14:11

Another stackoverflow answer says you need to set up a elasticache.config file to create Redis servers with ElastiCache automatically.

However, can I just create a Redis instance on AWS (Elasticache) and add its endpoint into Django settings? Eg, with Django-redis:

...

ANSWER

Answered 2018-Mar-16 at 14:11

Short answer: yes.

Long answer: I have not used Elastic Beanstalk, however I can confirm that if you create a Redis instance (that is: cluster mode disabled) in ElastiCache it will work fine with django-redis. Just insert the primary_endpoint into the Django config you posted.

N.B. If you plan to use read replicas, set it up like this:

Source https://stackoverflow.com/questions/42746759

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install django-elasticache

You can install using 'pip install django-elasticache' or download it from GitHub, PyPI.
You can use django-elasticache 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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