Skip to content
GitLab
Projects Groups Snippets
  • /
  • Help
    • Help
    • Support
    • Community forum
    • Submit feedback
    • Contribute to GitLab
  • Sign in / Register
  • A awesome-python
  • Project information
    • Project information
    • Activity
    • Labels
    • Members
  • Repository
    • Repository
    • Files
    • Commits
    • Branches
    • Tags
    • Contributors
    • Graph
    • Compare
  • Issues 13
    • Issues 13
    • List
    • Boards
    • Service Desk
    • Milestones
  • Merge requests 317
    • Merge requests 317
  • CI/CD
    • CI/CD
    • Pipelines
    • Jobs
    • Schedules
  • Deployments
    • Deployments
    • Environments
    • Releases
  • Packages and registries
    • Packages and registries
    • Package Registry
    • Infrastructure Registry
  • Monitor
    • Monitor
    • Incidents
  • Analytics
    • Analytics
    • Value stream
    • CI/CD
    • Repository
  • Wiki
    • Wiki
  • Snippets
    • Snippets
  • Activity
  • Graph
  • Create a new issue
  • Jobs
  • Commits
  • Issue Boards
Collapse sidebar
  • Vinta Chen
  • awesome-python
  • Merge requests
  • !511

Added rc, Redis cache cluster system

  • Review changes

  • Download
  • Email patches
  • Plain diff
Closed Administrator requested to merge github/fork/fengsp/master into master Nov 18, 2015
  • Overview 0
  • Commits 1
  • Pipelines 0
  • Changes 1

Created by: fengsp

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.

Assignee
Assign to
Reviewers
Request review from
Time tracking
Source branch: github/fork/fengsp/master