Mara-pipelines 是一个轻量级的数据转换框架,具有透明和低复杂性的特点。其他特点如下:
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基于非常简单的Python代码就能完成流水线开发。
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使用 PostgreSQL 作为数据处理引擎。
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有Web界面可视化分析流水线执行过程。
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基于 Python 的 multiprocessing 单机流水线执行。不需要分布式任务队列。轻松调试和输出日志。
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基于成本的优先队列:首先运行具有较高成本(基于记录的运行时间)的节点。
此外,在Mara-pipelines的Web界面中,你不仅可以查看和管理流水线及其任务节点,你还可以直接触发这些流水线和节点,非常好用:
1.安装
由于使用了大量的依赖,Mara-pipelines 并不适用于 Windows,如果你需要在 Windows 上使用 Mara-pipelines,请使用 Docker 或者 Windows 下的 linux 子系统。
使用pip安装Mara-pipelines:
或者:
2.使用示例
这是一个基础的流水线演示,由三个相互依赖的节点组成,包括 任务1(ping_localhost), 子流水线(sub_pipeline), 任务2(sleep):
可以看到,Task包含了多个commands,这些 command s会用于真正地执行动作。
而 pipeline.add 的参数中,第一个参数是其节点,第二个参数是此节点的上游。如:
则表明必须执行完 ping_localhost 才会执行 sub_pipeline.
为了运行这个流水线,需要配置一个 PostgreSQL 数据库来存储运行时信息、运行输出和增量处理状态:
如果 PostgresSQL 正在运行并且账号密码正确,输出如下所示(创建了一个包含多个表的数据库):
为了运行这个流水线,你需要:
这将运行单个流水线节点及其 (sub_pipeline
) 所依赖的所有节点:
3.Web 界面
我认为 mara-pipelines 最有用的是他们提供了基于Flask管控流水线的Web界面。
对于每条流水线,他们都有一个页面显示:
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所有子节点的图以及它们之间的依赖关系
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流水线的总体运行时间图表以及过去 30 天内最昂贵的节点(可配置)
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所有流水线节点及其平均运行时间和由此产生的排队优先级的表
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流水线最后一次运行的输出和时间线
对于每个任务,都有一个页面显示
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流水线中任务的上游和下游
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最近 30 天内任务的运行时间
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任务的所有命令
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任务最后运行的输出
此外,流水线和任务可以直接从网页端调用运行,这是非常棒的特点:
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51, 51)" data-darkmode-original-color-15860613985508="rgb(51, 51, 51)" data-darkmode-bgimage-15860613985508="1" data-darkmode-bgcolor-15870356070738="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356070738="rgb(255, 255, 255)" data-darkmode-color-15870356070738="rgb(51, 51, 51)" data-darkmode-original-color-15870356070738="rgb(51, 51, 51)" data-darkmode-bgimage-15870356070738="1" data-darkmode-bgcolor-15870356071023="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356071023="rgb(255, 255, 255)" data-darkmode-color-15870356071023="rgb(51, 51, 51)" data-darkmode-original-color-15870356071023="rgb(51, 51, 51)" data-darkmode-bgimage-15870356071023="1" data-darkmode-bgcolor-15882384789136="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882384789136="rgb(255, 255, 255)" data-darkmode-color-15882384789136="rgb(51, 51, 51)" data-darkmode-original-color-15882384789136="rgb(51, 51, 51)" data-darkmode-bgimage-15882384789136="1" data-darkmode-bgcolor-15882396318564="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882396318564="rgb(255, 255, 255)" data-darkmode-color-15882396318564="rgb(51, 51, 51)" data-darkmode-original-color-15882396318564="rgb(51, 51, 51)" data-darkmode-bgimage-15882396318564="1" data-darkmode-bgcolor-15900529136199="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15900529136199="rgb(255, 255, 255)" data-darkmode-color-15900529136199="rgb(51, 51, 51)" data-darkmode-original-color-15900529136199="rgb(51, 51, 51)" data-darkmode-bgimage-15900529136199="1" style="outline: 0px;max-width: 100%;font-size: 14px;color: rgb(51, 51, 51);text-align: left;box-sizing: border-box !important;overflow-wrap: break-word !important;"><span style="outline: 0px;max-width: 100%;font-family: 楷体, 楷体_GB2312, SimKai;white-space: pre-wrap;font-size: 12px;box-sizing: border-box !important;overflow-wrap: break-word !important;">点阅读原文,领AI全套资料</span></section></section></section></section></section></section></section>
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