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聊聊流式数据湖Paimon(五)

本文主要是介绍聊聊流式数据湖Paimon(五),对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!

从Demo入手,了解Paimon/Flink项目搭建的全过程。记录下采坑之旅。

创建Flink项目

在IDEA中创建Flink项目,由于没有Flink的archetype,因此需要手动创建一下。
参考:idea快速创建flink项目,至此Flink的项目框架就搭建起来了。
注意:必须注释掉pom文件中的provided;否则运行时会报错:
Error: A JNI error has occurred, please check your installation and try again
image.png

搭建Flink伪集群

在 Flink包地址 中,选择对应的版本,下载文件image.png
解压后,其文件内容,如下
image.png
在bin目录下,运行start-cluster.bat脚本即可。打开浏览器访问:localhost:8081,就可以查看Flink的webui
image.png

高版本的Flink中已经没有bat脚本,可参考 flink新版本无bat启动文件的解决办法

补充缺失的依赖

Flink的框架搭建好之后,参考 新一代数据湖存储技术Apache Paimon入门Demo 写一个简单的Paimon程序。但在这个过程中,必须补充 缺失的POM依赖。而这些依赖在编译时并不会报错,一旦运行,各种各样的抛错:
java.lang.ClassNotFoundException: org.apache.hadoop.conf.Configuration
Unable to create catalog xxx
Unsupported SQL query! executeSql()
如下是所有需要的pom依赖:

<dependency>
  <groupId>org.apache.flink</groupId>
  <artifactId>flink-streaming-java</artifactId>
  <version>${flink.version}</version>
  <!--			<scope>provided</scope>-->
</dependency>
<dependency>
  <groupId>org.apache.flink</groupId>
  <artifactId>flink-clients</artifactId>
  <version>${flink.version}</version>
  <!--			<scope>provided</scope>-->
</dependency>
<dependency>
  <groupId>org.apache.flink</groupId>
  <artifactId>flink-table-api-java-bridge</artifactId>
  <version>1.18.0</version>
</dependency>
<dependency>
  <groupId>org.apache.paimon</groupId>
  <artifactId>paimon-flink-1.18</artifactId>
  <version>0.6.0-incubating</version>
</dependency>
<dependency>
  <groupId>org.apache.flink</groupId>
  <artifactId>flink-table-planner-loader</artifactId>
  <version>${flink.version}</version>
</dependency>
<dependency>
  <groupId>org.apache.flink</groupId>
  <artifactId>flink-table-runtime</artifactId>
  <version>1.18.0</version>
</dependency>
<dependency>
  <groupId>org.apache.flink</groupId>
  <artifactId>flink-connector-base</artifactId>
  <version>${flink.version}</version>
</dependency>

<!-- Add connector dependencies here. They must be in the default scope (compile). -->

<!-- Example:

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka</artifactId>
<version>3.0.0-1.17</version>
</dependency>
-->

<!-- Add logging framework, to produce console output when running in the IDE. -->
<!-- These dependencies are excluded from the application JAR by default. -->
<dependency>
  <groupId>org.apache.logging.log4j</groupId>
  <artifactId>log4j-slf4j-impl</artifactId>
  <version>${log4j.version}</version>
  <scope>runtime</scope>
</dependency>
<dependency>
  <groupId>org.apache.logging.log4j</groupId>
  <artifactId>log4j-api</artifactId>
  <version>${log4j.version}</version>
  <scope>runtime</scope>
</dependency>
<dependency>
  <groupId>org.apache.logging.log4j</groupId>
  <artifactId>log4j-core</artifactId>
  <version>${log4j.version}</version>
  <scope>runtime</scope>
</dependency>
<dependency>
  <groupId>org.apache.hadoop</groupId>
  <artifactId>hadoop-common</artifactId>
  <version>3.2.3</version>
</dependency>
<dependency>
  <groupId>org.apache.hadoop</groupId>
  <artifactId>hadoop-hdfs-client</artifactId>
  <version>3.2.3</version>
</dependency>
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