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README
Apache-2.0

简介

产品介绍

OhMyScheduler是基于Akka架构的一款分布式调度平台与分布式计算框架(对标 Alibaba SchedulerX2.0),其主要功能特性如下:

  • 使用简单:提供前端Web界面,允许开发者可视化地完成调度任务的管理(增、删、改、查)、任务运行状态监控和运行日志查看等功能。
  • 定时策略完善:支持CRON表达式、固定频率、固定延迟和API四种定时调度策略。
  • 执行模式丰富:支持单机、广播、Map、MapReduce四种执行模式,其中Map/MapReduce处理器能使开发者寥寥数行代码便获得集群分布式计算的能力。
  • 执行器支持广泛:支持Spring Bean、普通Java对象、Shell、Python等处理器,应用范围广(比如广播执行+Shell脚本用来清理日志)
  • 运维便捷:支持在线日志功能,执行器产生的日志可以在前端控制台页面实时显示,降低debug成本,极大地提高开发效率。
  • 依赖精简:最小仅依赖关系型数据库(MySQL/Oracle/MS SQLServer...),扩展依赖为MongoDB(用于存储庞大的在线日志)。
  • 高可用&高性能:调度服务器经过精心设计,一改其他调度框架基于数据库锁的策略,实现了无锁化调度。部署多个调度服务器可以同时实现高可用和性能的提升(支持无限的水平扩展)。
  • 故障转移与恢复:任务执行失败后,可根据配置的重试策略完成重试,只要执行器集群有足够的计算节点,任务就能顺利完成。

适用场景

  • 有定时执行需求的业务场景:如每天凌晨全量同步数据、生成业务报表等。
  • 有需要全部机器一同执行的业务场景:如日志清理。
  • 有需要分布式处理的业务场景:比如需要更新一大批数据,单机执行耗时非常长,可以使用Map/MapReduce处理器完成任务的分发,调动整个集群加速计算。

接入流程(文档不要太详细,简单强大兼得说的就是在下~)

  1. 项目部署及初始化
  2. 处理器开发
  3. 任务配置与在线查看
  4. (强大灵活的扩展——OpenAPI)

开发日志

已完成

  • 定时调度功能:支持CRON表达式、固定时间间隔、固定频率和API四种方式。
  • 任务执行功能:支持单机、广播、Map和MapReduce四种执行方式。
  • 执行处理器:支持SpringBean、普通Java对象、Shell脚本、Python脚本的执行。
  • 在线日志:分布式日志方案。
  • 高可用与水平扩展:调度服务器可以部署任意数量的节点,不存在调度的性能瓶颈。
  • 不怎么美观但可以用的前端界面。
  • OpenAPI:通过OpenAPI可以允许开发者在自己的应用上对OhMyScheduler进行二次开发,比如开发自己的定时调度策略,通过API的调度模式触发任务执行。

下阶段目标

  • 日志的限流 & 本地分表提升在线日志最大吞吐量
  • 工作流(任务编排):当前版本勉强可以用MapReduce代替,不过工作流挺酷的,等框架稳定后进行开发。
  • 应用级别资源管理和任务优先级:没有机器资源时,进入排队队列。不过我觉得SchedulerX的方案不太行,SchedulerX无抢占,一旦低优先级任务开始运行,那么只能等他执行完成才能开始高优先级任务,这明显不合理。可是考虑抢占的话又要多考虑很多东西...先放在TODO列表吧。
  • 保护性判断(这个太繁琐了且意义不大,毕竟面向开发者,大家不会乱填参数对不对~)

参考

Alibaba SchedulerX 2.0

  • Akka 框架:不得不说,akka-remote简化了相当大一部分的网络通讯代码。
  • 执行器架构设计:这篇文章反而不太认同,感觉我个人的设计更符合Yarn的“架构”。
  • MapReduce模型:想法很Cool,大数据处理框架都是处理器向数据移动,但对于传统Java应用来说,数据向处理器移动也未尝不可,这样还能使框架的实现变得简单很多。
  • 广播执行:运行清理日志脚本什么的,也太实用了8~

后记

  • 产品永久开源(Apache License, Version 2.0),免费使用,且目前开发者@KFCFans有充足的时间进行项目维护和提供无偿技术支持(All In 了解一下),欢迎各位试用!
  • 欢迎共同参与本项目的贡献,PR和Issue都大大滴欢迎(求求了)~
  • 觉得还不错的话,可以点个Star支持一下哦~ = ̄ω ̄=
  • 联系肥宅兄@KFCFans -> tengjiqi@gmail.com
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分布式任务调度&计算框架 展开 收起
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