One library that implements cache system for redis in Python. It is for use
with web applications and Python scripts. It comes with really handy apis
for easy drop-in use with common tasks, including caching decorators. It
can be used to build a cache cluster which has a routing system that allows
you to automatically set cache on different servers, sharding can be really
easy now. You can use it to batch fetch multiple cache results back, for
a cluster, it even does the job in parallel, we fetch results from all servers
concurrently, which means much higher performance.
It uses the redis server, which is a in-memory key-value data structure
server. It does not implement any other backends like filesystem and does not
intend to do so. Mostly we want to use a key-value server like redis, if you
have special needs, it is easy to write one cache decorator that stores
everything in memory using a dict or you can check out other libraries.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/511
**Author:** [@fengsp](https://github.com/fengsp)
**Created:** 11/18/2015
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (1)
- [`4cec68a`](https://github.com/vinta/awesome-python/commit/4cec68a5e3239d80e2b4c82549474a2d8cd8e665) Added rc
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
One library that implements cache system for redis in Python. It is for use
with web applications and Python scripts. It comes with really handy apis
for easy drop-in use with common tasks, including caching decorators. It
can be used to build a cache cluster which has a routing system that allows
you to automatically set cache on different servers, sharding can be really
easy now. You can use it to batch fetch multiple cache results back, for
a cluster, it even does the job in parallel, we fetch results from all servers
concurrently, which means much higher performance.
It uses the redis server, which is a in-memory key-value data structure
server. It does not implement any other backends like filesystem and does not
intend to do so. Mostly we want to use a key-value server like redis, if you
have special needs, it is easy to write one cache decorator that stores
everything in memory using a dict or you can check out other libraries.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/511
Author: @fengsp
Created: 11/18/2015
Status: ❌ Closed
Base:
master← Head:master📝 Commits (1)
4cec68aAdded rc📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
One library that implements cache system for redis in Python. It is for use
with web applications and Python scripts. It comes with really handy apis
for easy drop-in use with common tasks, including caching decorators. It
can be used to build a cache cluster which has a routing system that allows
you to automatically set cache on different servers, sharding can be really
easy now. You can use it to batch fetch multiple cache results back, for
a cluster, it even does the job in parallel, we fetch results from all servers
concurrently, which means much higher performance.
It uses the redis server, which is a in-memory key-value data structure
server. It does not implement any other backends like filesystem and does not
intend to do so. Mostly we want to use a key-value server like redis, if you
have special needs, it is easy to write one cache decorator that stores
everything in memory using a dict or you can check out other libraries.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.