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DataStream API
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<h1 id="datastream-api">DataStream API</h1>
<p>Apache Flink 提供了 DataStream API 来实现稳定可靠的、有状态的流处理应用程序。 Flink 支持对状态和时间的细粒度控制，以此来实现复杂的事件驱动数据处理系统。 这个入门指导手册讲述了如何通过 Flink DataStream API 来实现一个有状态流处理程序。</p>
<ul>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#你要搭建一个什么系统" target="_blank">你要搭建一个什么系统</a></li>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#准备条件" target="_blank">准备条件</a></li>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#困难求助" target="_blank">困难求助</a></li>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#怎样跟着教程练习" target="_blank">怎样跟着教程练习</a></li>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#代码分析" target="_blank">代码分析</a></li>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#实现一个真正的应用程序" target="_blank">实现一个真正的应用程序</a></li>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#欺诈检测器-v2状态--时间--️" target="_blank">欺诈检测器 v2：状态 + 时间 = ❤️</a></li>
<li>完整的程序<ul>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#期望的结果" target="_blank">期望的结果</a></li>
</ul>
</li>
</ul>
<h2 id="你要搭建一个什么系统">你要搭建一个什么系统</h2>
<p>在当今数字时代，信用卡欺诈行为越来越被重视。 罪犯可以通过诈骗或者入侵安全级别较低系统来盗窃信用卡卡号。 用盗得的信用卡进行很小额度的例如一美元或者更小额度的消费进行测试。 如果测试消费成功，那么他们就会用这个信用卡进行大笔消费，来购买一些他们希望得到的，或者可以倒卖的财物。</p>
<p>在这个教程中，你将会建立一个针对可疑信用卡交易行为的反欺诈检测系统。 通过使用一组简单的规则，你将了解到 Flink 如何为我们实现复杂业务逻辑并实时执行。</p>
<h2 id="准备条件">准备条件</h2>
<p>这个代码练习假定你对 Java 或 Scala 有一定的了解，当然，如果你之前使用的是其他开发语言，你也应该能够跟随本教程进行学习。</p>
<h2 id="困难求助">困难求助</h2>
<p>如果遇到困难，可以参考 <a href="https://flink.apache.org/zh/gettinghelp.html" target="_blank">社区支持资源</a>。 当然也可以在邮件列表提问，Flink 的 <a href="https://flink.apache.org/zh/community.html#mailing-lists" target="_blank">用户邮件列表</a> 一直被评为所有Apache项目中最活跃的一个，这也是快速获得帮助的好方法。</p>
<h2 id="怎样跟着教程练习">怎样跟着教程练习</h2>
<p>首先，你需要在你的电脑上准备以下环境：</p>
<ul>
<li>Java 8 or 11</li>
<li>Maven</li>
</ul>
<p>一个准备好的 Flink Maven Archetype 能够快速创建一个包含了必要依赖的 Flink 程序骨架，基于此，你可以把精力集中在编写业务逻辑上即可。 这些已包含的依赖包括 <code>flink-streaming-java</code>、<code>flink-walkthrough-common</code> 等，他们分别是 Flink 应用程序的核心依赖项和这个代码练习需要的数据生成器，当然还包括其他本代码练习所依赖的类。</p>
<p><strong>说明:</strong> 为简洁起见，本练习中的代码块中可能不包含完整的类路径。完整的类路径可以在文档底部 <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#完整的程序" target="_blank">链接</a> 中找到。</p>
<ul>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#tab_java_0" target="_blank"><strong>Java</strong></a></li>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#tab_scala_0" target="_blank"><strong>Scala</strong></a></li>
</ul>
<pre><code>$ mvn archetype:generate \
-DarchetypeGroupId=org.apache.flink \
-DarchetypeArtifactId=flink-walkthrough-datastream-java \
-DarchetypeVersion=1.10.0 \
-DgroupId=frauddetection \
-DartifactId=frauddetection \
-Dversion=0.1 \
-Dpackage=spendreport \
-DinteractiveMode=false
</code></pre><p>你可以根据自己的情况修改 <code>groupId</code>、 <code>artifactId</code> 和 <code>package</code>。通过这三个参数， Maven 将会创建一个名为 <code>frauddetection</code> 的文件夹，包含了所有依赖的整个工程项目将会位于该文件夹下。 将工程目录导入到你的开发环境之后，你可以找到 <code>FraudDetectionJob.java</code> （或 <code>FraudDetectionJob.scala</code>） 代码文件，文件中的代码如下所示。你可以在 IDE 中直接运行这个文件。 同时，你可以试着在数据流中设置一些断点或者以 DEBUG 模式来运行程序，体验 Flink 是如何运行的。</p>
<ul>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#tab_java_1" target="_blank"><strong>Java</strong></a></li>
<li><a href="https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/getting-started/walkthroughs/datastream_api.html#tab_scala_1" target="_blank"><strong>Scala</strong></a></li>
</ul>
<h4 id="frauddetectionjobjava">FraudDetectionJob.java</h4>
<pre><code>package spendreport;