一、 环境准备
kafka安装
flink安装
二、spring 集成
pom配置
<!-- https://mvnrepository.com/artifact/org.apache.flink/flink-java -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>1.10.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.flink/flink-clients -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_2.12</artifactId>
<version>1.10.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.flink/flink-streaming-java -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java_2.12</artifactId>

本文介绍了如何在Mac环境下准备kafka和flink的安装,然后详细讲解了如何在Spring项目中集成Flink进行实时日志处理,包括pom配置、Flink job的编写和测试过程,提供了具体的步骤和参考文献。
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