聊聊流式數據湖Paimon(五)

從Demo入手，瞭解Paimon/Flink項目搭建的全過程。記錄下採坑之旅。

創建Flink項目

在IDEA中創建Flink項目，由於沒有Flink的archetype，因此需要手動創建一下。
參考：idea快速創建flink項目，至此Flink的項目框架就搭建起來了。
注意：必須註釋掉pom文件中的provided；否則運行時會報錯：
Error: A JNI error has occurred, please check your installation and try again

搭建Flink僞集羣

在 Flink包地址 中，選擇對應的版本，下載文件
解壓後，其文件內容，如下

在bin目錄下，運行start-cluster.bat腳本即可。打開瀏覽器訪問：localhost:8081，就可以查看Flink的webui

高版本的Flink中已經沒有bat腳本，可參考 flink新版本無bat啓動文件的解決辦法

補充缺失的依賴

Flink的框架搭建好之後，參考 新一代數據湖存儲技術Apache Paimon入門Demo 寫一個簡單的Paimon程序。但在這個過程中，必須補充 缺失的POM依賴。而這些依賴在編譯時並不會報錯，一旦運行，各種各樣的拋錯：
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依賴：

<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>