使用数据流生成自执行JAR

时间:2019-03-19 14:11:27

标签: google-cloud-dataflow apache-beam

按照link中的指示,尝试构建JAR文件来安排Airflow中的数据流作业。在依赖关系部分中添加了相关的依赖关系,并在POM文件的构建部分中添加了主类名称。当我使用下面的maven命令执行数据流作业时,出现下面的错误。

有人可以指导我解决这个问题吗?

Maven命令

- mvn package 
- java -jar target/sample-1.0.0.jar

错误消息:

Error: A JNI error has occurred, please check your installation and try again
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/beam/sdk/options/PipelineOptions
        at java.lang.Class.getDeclaredMethods0(Native Method)
        at java.lang.Class.privateGetDeclaredMethods(Unknown Source)
        at java.lang.Class.privateGetMethodRecursive(Unknown Source)
        at java.lang.Class.getMethod0(Unknown Source)
        at java.lang.Class.getMethod(Unknown Source)
        at sun.launcher.LauncherHelper.validateMainClass(Unknown Source)
        at sun.launcher.LauncherHelper.checkAndLoadMain(Unknown Source)
Caused by: java.lang.ClassNotFoundException: org.apache.beam.sdk.options.PipelineOptions

我的管道文件

public interface DefaultOptions extends PipelineOptions,GcpOptions,ApplicationNameOptions,DataflowPipelineDebugOptions,DataflowPipelineWorkerPoolOptions,
BigQueryOptions,GcsOptions,StreamingOptions,CloudDebuggerOptions,DataflowProfilingOptions,PubsubOptions {

我在类文件中的管道初始化

PipelineOptionsFactory.register(DefaultOptions.class);

DefaultOptions options = PipelineOptionsFactory.fromArgs(args).withValidation().as(DefaultOptions.class);
options.setRunner(DataflowRunner.class);
options.setProject(options.getDataFlowProjectName());
options.setTempLocation(options.getDataFlowProjectTempLocation());
options.setGcpTempLocation(options.getDataFlowProjectTempLocation());
Pipeline p = Pipeline.create(options);

POM文件:

     <dependency>
        <groupId>org.apache.beam</groupId>
        <artifactId>beam-runners-google-cloud-dataflow-java</artifactId>
        <version>2.11.0</version>
     </dependency>

      <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-jar-plugin</artifactId>
                <version>3.1.1</version>
                <configuration>
                    <archive>
                        <manifest>
                            <addClasspath>true</addClasspath>
                            <classpathPrefix>lib/</classpathPrefix>
                            <mainClass>SampleWindowJar</mainClass>
                        </manifest>
                    </archive>
                </configuration>
            </plugin>

1 个答案:

答案 0 :(得分:0)

Cloud Dataflow依赖性不是您唯一需要的依赖性。您还需要所有与Beam SDK相关的依赖项。获得它们的最简单方法是使用Beam提供的Maven原型:

https://beam.apache.org/get-started/quickstart-java/

mvn archetype:generate \
      -DarchetypeGroupId=org.apache.beam \
      -DarchetypeArtifactId=beam-sdks-java-maven-archetypes-starter \
      -DarchetypeVersion=2.11.0 \
      -DgroupId=org.yourorg \
      -DartifactId=my-beam-pipeline \
      -Dversion="0.1" \
      -Dpackage=org.yourorg.pipelines \
      -DinteractiveMode=false

cd my-beam-pipeline

您会看到一个pom.xml文件,以及一个可以开发的包含启动程序管道的目录。

一旦创建了原型,它将包括所有基本的SDK依赖关系,还可以添加Dataflow Runner:

<dependency>
   <groupId>org.apache.beam</groupId>
   <artifactId>beam-runners-google-cloud-dataflow-java</artifactId>
   <version>2.11.0</version>
</dependency>