cacheout | A caching library for Python | Caching library

by dgilland Python Version: 0.16.0 License: MIT

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

kandi X-RAY | cacheout Summary

cacheout is a Python library typically used in Server, Caching applications. cacheout 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 cacheout' or download it from GitHub, PyPI.

A caching library for Python

Support

Quality

Security

License

Reuse

Support

cacheout has a low active ecosystem.

It has 327 star(s) with 35 fork(s). There are 11 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 3 open issues and 16 have been closed. On average issues are closed in 80 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cacheout is 0.16.0

Quality

cacheout has 0 bugs and 5 code smells.

Security

cacheout has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cacheout code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

cacheout 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

cacheout 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.

cacheout saves you 575 person hours of effort in developing the same functionality from scratch.

It has 1470 lines of code, 198 functions and 24 files.

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

Top functions reviewed by kandi - BETA

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

Memoize cache
Memoization decorator
Get a value from the cache
Get the value from the cache
Build documentation
Build docs
Start sphinx docs
Run linters
Format docstring
Run docformatter
Set the value of the key
Touch the given key
Memoize a function
Memoize a FIFO

Get all kandi verified functions for this library.

cacheout Key Features

No Key Features are available at this moment for cacheout.

cacheout Examples and Code Snippets

No Code Snippets are available at this moment for cacheout.

Community Discussions

Trending Discussions on cacheout

IoT EventHub with Azure Function App - synchronous multi-threaded

QUESTION

IoT EventHub with Azure Function App - synchronous multi-threaded

Asked 2021-Nov-04 at 15:36

I have problem with Azure FunctionApp that is triggered by EventHub (from IotHub). When I start function and there are a lot of historic messages in Event Hub FunctionApp is triggered asynchronous so there are few instance of function in te same time. The problem is that inside function I'm using Redis, so the flow is: EventHub Message -> Trigger FunctionApp -> Read data form Redis -> Main function -> Save data to Redis -> Set output messages -> End function. Every time the function is triggered it should end before antother instance of it. So it shoul be synchronous. I tried setting:

WEBSITE_MAX_DYNAMIC_APPLICATION_SCALE_OUT = 1

setting App Scale out to 1 ( was 200), but it doesn't work.

This is crutial for us. After we stop function for even a short time and then starting it again will end with corrupted data.

Any idea how to solve this?

EDIT: So it seems that there is only one instance of function at one time - I used Executing Instances and Allocated Instances timechart to check it, and i've got 1 all time.

But my logs look like this:

...

ANSWER

Answered 2021-Oct-23 at 03:07

To achieve back to back execution for time triggers, set WEBSITE_MAX_DYNAMIC_APPLICATION_SCALE_OUT and FUNCTIONS_WORKER_PROCESS_COUNT as 1 in the application settings configuration. This will ensure only 1 function executes runs at a time . See this LINK.

Source https://stackoverflow.com/questions/69678958

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

Vulnerabilities

No vulnerabilities reported

Install cacheout

You can install using 'pip install cacheout' or download it from GitHub, PyPI.
You can use cacheout 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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