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README_CN.md
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README_CN.md
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@ -250,9 +250,19 @@ PiFlow是一个简单易用,功能强大的大数据流水线系统。
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-login.png)
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-login.png)
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- 流水线列表
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- 流水线列表
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-flowlist.png)
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-flowlist.png)
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- 创建流水线
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- 流水线配置
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-createflow.png)
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-congfigflow.png)
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- 配置流水线
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- 流水线资源配置
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-resource.png)
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- 运行流水线
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-run.png)
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- 删除流水线
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-delete.png)
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- 流水线保存模板
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-savetemplate.png)
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- 用户点击创建按钮,创建流水线。需要输入流水线名称及描述信息,同时可设置流水线需要的资源.
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-createflows.png)
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- 用户可通过拖拽方式进行流水线的配置,方式类似visio
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-flowconfig.png)
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-flowconfig.png)
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- 运行及加载流水线
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- 运行及加载流水线
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-loadflow.png)
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![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/piflow-loadflow.png)
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