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README.md
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README.md
@ -12,31 +12,30 @@ English | [简体中文](./README_zhCN.md)
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</p>
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- Have you ever wondered how cron jobs could be organized orderly?
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- Have you ever felt upset when scheduling tasks suddenly terminated without any warning?
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- Have you ever felt helpless when batches of business tasks require handling?
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- Have you ever felt depressed about tasks that carry with complex dependencies?
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- Have you ever felt upset about tasks that carry with complex dependencies?
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- Have you ever felt helpless when scheduling tasks suddenly terminated without any warning?
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- Have you ever felt depressed when batches of business tasks need to be processed in a distributed manner?
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Well, PowerJob is there for you, it is the choice of a new generation. It is a powerful, business-oriented scheduling framework that provides distributed computing ability. Based on Akka architecture, it makes everything with scheduling easier. Just with several steps, PowerJob could be deployed and work for you!
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# Introduction
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### Features
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- Simple to use: PowerJob provides a friendly front-end Web that allows developers to visually manage tasks (Create, Read, Update and Delete), monitor tasks, and view logs online.
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- Simple to use: PowerJob provides a friendly front-end Web that allows developers to visually manage tasks, monitor tasks, and view logs online.
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- Complete timing strategy: PowerJob supports four different scheduling strategies, including CRON expression, fixed frequency timing, fixed delay timing as well as the Open API.
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- Various execution modes: PowerJob supports four execution modes: stand-alone, broadcast, Map, and MapReduce. It's worth mentioning the Map and MapReduce modes. With several lines of codes, developers could take full advantage of PowerJob's distributed computing ability.
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- Complete workflow support. PowerJob supports DAG(Directed acyclic graph) based online task configuration. Developers could arrange tasks on the console, while data could be transferred among tasks on the flow.
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- Various execution modes: PowerJob supports four execution modes: stand-alone, broadcast, Map, and MapReduce. **It's worth mentioning the Map and MapReduce modes. With several lines of codes, developers could take full advantage of PowerJob's distributed computing ability**.
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- Complete workflow support: PowerJob supports DAG(Directed acyclic graph) based online task configuration. Developers could arrange tasks on the console, while data could be transferred among tasks on the flow.
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- Extensive executor support: PowerJob supports multiple processors, including Spring Beans, ordinary Java objects, Shell, Python and so on.
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- Simple in dependency: PowerJob aims to be simple in dependency. The only dependency is merely database (MySQL / Oracle / MS SQLServer ...), with MongoDB being the extra dependency for storing large log files online.
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- Simple in dependency: PowerJob aims to be simple in dependency. The only dependency is merely database (MySQL / Oracle / MS SQLServer ...), with MongoDB being the extra dependency for storing large log files.
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- High availability and performance: Unlike traditional job-scheduling frameworks that rely on database locks, PowerJob server is lock-free. PowerJob supports unlimited horizontal expansion. It's easy to achieve high availability and performance by deploying as many PowerJob server instances as you need.
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- Quick failover and recovery support: Whenever any task failed, PowerJob server would retry according to the configured strategy. As long as there were enough nodes in the cluster, the failed tasks could execute successfully finally.
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- Convenient to run and maintain: PowerJob supports online logging. Logs generated by the worker would be transferred and displayed on the console instantly, therefore reducing the cost of debugging and improving the efficiency significantly.
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### Applicable scenes
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- Scenarios with timed tasks: such as full synchronization of data at midnight, generating business reports at desired time.
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- Scenarios that require all machines to run tasks simultaneously: such as log cleanup.
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- Scenarios that require distributed processing: For example, a large amount of data requires updating, while the stand-alone execution takes quite a lot of time. The Map/MapReduce mode could be applied in which the workers would join the cluster for PowerJob server to dispatch, to speed up the time-consuming process, therefore improving the computing ability of the whole cluster.
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- Scenarios with delayed tasks: For instance, disposal of overdue orders.
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- **Scenarios with delayed tasks**: For instance, disposal of overdue orders.
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### Design goals
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@ -51,17 +50,17 @@ Application password: 123
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### Comparison with similar products
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| | QuartZ | xxl-job | SchedulerX 2.0 | PowerJob |
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| ---------------------------------- | --------------------------------------------------------- | --------------------------------------------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
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| Timing type | CRON | CRON | CRON, fixed frequency, fixed delay, OpenAPI | **CRON, fixed frequency, fixed delay, OpenAPI** |
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| Task type | Built-in Java | Built-in Java, GLUE Java, Shell, Python and other scripts | Built-in Java, external Java (FatJar), Shell, Python and other scripts | **Built-in Java, external Java (container), Shell, Python and other scripts** |
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| Distributed strategy | Unsupported | Static sharding | MapReduce dynamic sharding | **MapReduce dynamic sharding** |
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| Online task management | Unsupported | Supported | Supported | **Supported** |
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| Online logging | Unsupported | Supported | Unsupported | **Supported** |
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| Scheduling methods and performance | Based on database lock, there is a performance bottleneck | Based on database lock, there is a performance bottleneck | Unknown | **Lock-free design, high performance without upper limit** |
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| Alarm monitoring | Unsupported | Email | SMS | **Email, WebHook, DingTalk. An interface is provided for customization.** |
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| System dependence | Any relational database (MySQL, Oracle ...) supported by JDBC | MySQL | RMB (Public Beta version for free, hey, helping to promote) | **Any relational database (MySQL, Oracle ...) supported by Spring Data Jpa** |
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| workflow | Unsupported | Unsupported | Supported | **Supported** |
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| | QuartZ | PowerJob |
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| ---------------------------------- | --------------------------------------------------------- | ------------------------------------------------------------ |
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| Timing type | CRON | **CRON, fixed frequency, fixed delay, OpenAPI** |
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| Task type | Built-in Java | **Built-in Java, external Java (JVM Container), Shell, Python and other scripts** |
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| Distributed strategy | Unsupported | **MapReduce dynamic sharding** |
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| Online task management | Unsupported | **Supported** |
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| Online logging | Unsupported | **Supported** |
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| Scheduling methods and performance | Based on database lock, there is a performance bottleneck | **Lock-free design, high performance without upper limit** |
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| Alarm monitoring | Unsupported | **Email, WebHook, DingTalk. An interface is provided for customization.** |
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| System dependence | Any relational database (MySQL, Oracle ...) supported by JDBC | **Any relational database (MySQL, Oracle ...) supported by Spring Data Jpa** |
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| workflow | Unsupported | **Supported** |
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# Document
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**[Docs](https://www.yuque.com/powerjob/en/introduce)**
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@ -77,9 +76,8 @@ Application password: 123
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# Others
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- PowerJob is permanently open source software(Apache License, Version 2.0), please feel free to try, deploy and put into production!
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- Author of PowerJob (@KFCFans) has abundant time for maintenance, and is willing to provide technical support if you have needs!
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- Welcome to the Gitter Community: [LINK](https://gitter.im/PowerJob/community)
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- PowerJob is permanently open source software(Apache License, Version 2.0), please feel free to try, deploy and put into production!
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- Welcome to contribute to PowerJob, both Pull Requests and Issues are precious.
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- Please STAR PowerJob if it is valuable. ~ =  ̄ω ̄ =
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- Do you need any help or want to propose suggestions? Please raise Github issues or contact the Author @KFCFans-> `tengjiqi@gmail.com` directly.
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