当我使用spark 1.6.1时,一切都很好。当我切换到Spark 2.1.0时,我遇到了以下问题:
stage3.0中的任务33失败了4次;中止工作
线程“main”org.apache.spark.SparkException中的异常:由于阶段失败而中止作业:阶段3.0中的任务33失败4次,最近失败:阶段3.0中失去了33.3(TID 310,192.168.1.5) ,executor 3):java.io.invalidclassexception scala.tuple2;本地班级不相容;本地类不兼容:stream classdesc serialVersionUID = -4864544146559264103,本地类serialVersionUID = 3356420310891166197
我知道-4864544146559264103对应于scala 2.10,而3356420310891166197对应于scala 2.11。虽然我将配置更改为
编辑:整个pom文件显示如下。
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>test.spark</groupId>
<artifactId>spark</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>jar</packaging>
<name>spark</name>
<url>http://maven.apache.org</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<build>
<plugins>
<plugin>
<!-- solve the problem of : java.lang.ClassNotFoundException: kafka.producer.ProducerConfig -->
<artifactId>maven-assembly-plugin</artifactId>
<version>2.4</version>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.6.1</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
</plugins>
</build>
<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.11</artifactId>
<version>2.1.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>2.1.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.11</artifactId>
<version>2.1.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka-0-8_2.11</artifactId>
<version>2.1.0</version>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-server</artifactId>
<version>1.1.2</version>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>1.1.2</version>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-common</artifactId>
<version>1.1.2</version>
</dependency>
<dependency>
<groupId>io.fastjson</groupId>
<artifactId>boon</artifactId>
<version>0.33</version>
</dependency>
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>2.7</version>
</dependency>
<dependency>
<groupId>com.googlecode.json-simple</groupId>
<artifactId>json-simple</artifactId>
<version>1.1.1</version>
</dependency>
</dependencies>
</project>
问题仍然存在。如何解决这个问题?将添加所需的任何细节。谢谢你的帮助!
答案 0 :(得分:0)
最后,我解决了这个问题。这是我的错,pom文件没问题,项目运作良好。
问题是由一个细节引起的,代码从HDFS读取scala.Tuple2对象,这在我的问题中没有提到(我很抱歉这样说)。 HDFS中的对象是由另一个项目的scala 2.10生成的,因此会出现问题。
无论如何,谢谢你的帮助。