From 7f5905d7b0335eb54f09670948320d12b79881c4 Mon Sep 17 00:00:00 2001 From: dailidong Date: Mon, 25 Mar 2019 15:21:38 +0800 Subject: [PATCH] move to docs --- .../EasyScheduler使用手册.docx | Bin .../fonts/fontawesome/FontAwesome.otf | Bin .../fonts/fontawesome/fontawesome-webfont.eot | Bin .../fonts/fontawesome/fontawesome-webfont.svg | 0 .../fonts/fontawesome/fontawesome-webfont.ttf | Bin .../fontawesome/fontawesome-webfont.woff | Bin .../fontawesome/fontawesome-webfont.woff2 | Bin .../expandable-chapters.css | 0 .../expandable-chapters.js | 0 .../fontsettings.js | 0 .../gitbook-plugin-fontsettings/website.css | 0 .../gitbook-plugin-highlight/ebook.css | 0 .../gitbook-plugin-highlight/website.css | 0 .../plugin.css | 0 .../gitbook-plugin-insert-logo-link/plugin.js | 0 .../gitbook-plugin-livereload/plugin.js | 0 .../gitbook}/gitbook-plugin-lunr/lunr.min.js | 0 .../gitbook-plugin-lunr/search-lunr.js | 0 .../gitbook-plugin-search/lunr.min.js | 0 .../gitbook-plugin-search/search-engine.js | 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简介

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导语

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EasyScheduler是易观研发的大数据分布式工作流调度系统。主要解决数据研发ETL错综复杂的依赖关系,而不能直观监控任务健康状态等问题。EasyScheduler通过可视化拖拽任务节点的方式形成DAG(有向无环图)流程图,在运行过程中可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及Kill任务、任务运行历史查看等等操作。
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背景

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工作流调度系统在大数据平台中是一个核心的基础设施,是大数据开发必不可少的重要组成部分。由于数据处理流程常常具有很长的依赖链条,因此依赖单机的crontab等单纯依赖时间调度的方式,往往存在很大的弊端,如依赖不清晰,出错难以查找等问题。因此,我们调研了市面上流行的调度系统。 -并和azkaban、airflow做了一些对比:

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JPG

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       鉴于易观日处理数据30TB,复杂的ETL依赖关系,我们开发了EasyScheduler。

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EasyScheduler由在工作流调度方面工作多年的几位小伙伴研发而成,致力于成为大数据平台的中流砥柱,使调度变得更加容易,更可以从其中文名“易调度”看出我们的初衷,如果你对目前市面上的调度不够满意,非常欢迎试用易调度,欢迎大家加入进来,提出需求,也欢迎贡献代码, 感兴趣的伙伴们可以加我们微信:510570367,一起加入EasyScheduler吧,多多交流!

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系统部分截图:

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工作流实例

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工作流DAG设计

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工作流DAG任务节点设计

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工作流运行情况

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    + +

    简介

    +

    导语

    +
    +
    EasyScheduler是易观研发的大数据分布式工作流调度系统。主要解决数据研发ETL错综复杂的依赖关系,而不能直观监控任务健康状态等问题。EasyScheduler通过可视化拖拽任务节点的方式形成DAG(有向无环图)流程图,在运行过程中可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及Kill任务、任务运行历史查看等等操作。
    +
    +

    背景

    +

    工作流调度系统在大数据平台中是一个核心的基础设施,是大数据开发必不可少的重要组成部分。由于数据处理流程常常具有很长的依赖链条,因此依赖单机的crontab等单纯依赖时间调度的方式,往往存在很大的弊端,如依赖不清晰,出错难以查找等问题。因此,我们调研了市面上流行的调度系统。 +并和azkaban、airflow做了一些对比:

    +
    +

    +
    +

    JPG

    +
    +

           鉴于易观日处理数据30TB,复杂的ETL依赖关系,我们开发了EasyScheduler。

    +
    +

    EasyScheduler由在工作流调度方面工作多年的几位小伙伴研发而成,致力于成为大数据平台的中流砥柱,使调度变得更加容易,更可以从其中文名“易调度”看出我们的初衷,如果你对目前市面上的调度不够满意,非常欢迎试用易调度,欢迎大家加入进来,提出需求,也欢迎贡献代码, 感兴趣的伙伴们可以加我们微信:510570367,一起加入EasyScheduler吧,多多交流!

    +

    系统部分截图:

    +

    工作流实例

    +

    工作流DAG设计

    +

    工作流DAG任务节点设计

    +

    工作流运行情况

    + + +
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    +
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    results matching ""

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