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      <title>Flink DataStream Api</title>
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      <pubDate>Mon, 04 May 2020 00:00:00 +0000</pubDate>
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      <description>1. flink程序结构 设置执行环境 读取输入流 应用转换 输出结果 执行 2. flink转换操作 2.1 基本转换 Map Filter FlapMap：FlapMap是Map和Filter的泛化 2.2 基于KeyedStream的转换（keyBy） 滚动聚合：sum()、min()、max()、min()、maxBy() Reduce：Reduce是滚动聚合函数的泛化 2.3 多流转化 Union Connect、coMap、coFlatMap Split、Select 2.4 分发转换 shuffle： 随机发给下游算子 rebalance：轮询方式发给下游算子 rescale：在部分下游算子中轮询 broadcast：广播 globle：永远发送个第一个算子 forward：一对一发送个下游算子（仅在上下游算子并行度一致时才能使用） partitionCustom：自定义（这里只能自定义单播） 3. DataStream转换路径 </description>
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      <title>(Hu)go Template Primer</title>
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      <pubDate>Wed, 02 Apr 2014 00:00:00 +0000</pubDate>
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      <description>Hugo uses the excellent go html/template library for its template engine. It is an extremely lightweight engine that provides a very small amount of logic. In our experience that it is just the right amount of logic to be able to create a good static website. If you have used other template systems from different languages or frameworks you will find a lot of similarities in go templates.&#xA;This document is a brief primer on using go templates.</description>
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      <title>Getting Started with Hugo</title>
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      <pubDate>Wed, 02 Apr 2014 00:00:00 +0000</pubDate>
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      <description>Step 1. Install Hugo Goto hugo releases and download the appropriate version for your os and architecture.&#xA;Save it somewhere specific as we will be using it in the next step.&#xA;More complete instructions are available at installing hugo&#xA;Step 2. Build the Docs Hugo has its own example site which happens to also be the documentation site you are reading right now.&#xA;Follow the following steps:&#xA;Clone the hugo repository Go into the repo Run hugo in server mode and build the docs Open your browser to http://localhost:1313 Corresponding pseudo commands:</description>
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