问题描述
我正在尝试使用Kinesis在EMR上运行火花流作业.带有Kinesis ASL 1.6.1的Spark 1.6.1写一个简单的单词计数示例.
I am trying to run spark streaming job on EMR with Kinesis. Spark 1.6.1 with Kinesis ASL 1.6.1. Writing a plain sample wordcount example.
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kinesis-asl_2.10</artifactId>
<version>1.6.1</version>
</dependency>
<dependency>
<groupId>com.amazonaws</groupId>
<artifactId>amazon-kinesis-client</artifactId>
<version>1.6.3</version>
</dependency>
<dependency>
<groupId>com.amazonaws</groupId>
<artifactId>amazon-kinesis-producer</artifactId>
<version>0.10.2</version>
</dependency>
这引发以下异常
java.lang.RuntimeException: java.util.concurrent.ExecutionException: java.lang.NoClassDefFoundError: com/google/protobuf/ProtocolStringList
at com.amazonaws.services.kinesis.clientlibrary.lib.worker.ShardConsumer.checkAndSubmitNextTask(ShardConsumer.java:157)
at com.amazonaws.services.kinesis.clientlibrary.lib.worker.ShardConsumer.consumeShard(ShardConsumer.java:126)
升级到2.0.0版预览
Upgrading to 2.0.0-preview
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kinesis-asl_2.10</artifactId>
<version>2.0.0-preview</version>
</dependency>
给出以下例外情况
java.lang.NoClassDefFoundError: org/apache/spark/internal/Logging
在org.apache.spark.streaming.kinesis.KinesisUtils $$ anonfun $ createStream $ 1.apply(KinesisUtils.scala:74)
at org.apache.spark.streaming.kinesis.KinesisUtils$$anonfun$createStream$1.apply(KinesisUtils.scala:74)
推荐答案
它是由protobuf-java依赖冲突引起的.使用mvn dependency:tree
查找protobuf-java的版本,该版本是KCL和KPL所依赖的.并转到spark lib目录,您将找到另一个版本.请使用maven-shade-plugin,然后重新定位冲突类:
It was caused by protobuf-java dependency conflict. Use mvn dependency:tree
to find the version of protobuf-java, which is KCL and KPL depend on. And go to spark lib directory, you would find the another version.Please use maven-shade-plugin, and relocate the conflict classes:
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>2.3</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<outputFile>
${project.build.directory}/${project.artifactId}-${project.version}-selfcontained.jar
</outputFile>
<relocations>
<relocation>
<pattern>com.google.protobuf</pattern>
<shadedPattern>shade.com.google.protobuf</shadedPattern>
</relocation>
<relocation>
<pattern>com.amazonaws</pattern>
<shadedPattern>shade.com.amazonaws</shadedPattern>
</relocation>
</relocations>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer" />
</transformers>
</configuration>
</execution>
</executions>
</plugin>
这篇关于Spark Streaming 1.6.1不适用于Kinesis ASL 1.6.1和ASL 2.0.0-Preview的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!