apache Spark 中的无效类异常

Question

我正在尝试使用 Spark-Submit 运行 Spark 作业。当我在 eclipse 中运行它时，作业运行没有任何问题。当我将相同的 jar 文件复制到远程计算机并在那里运行作业时，出现以下问题

17/08/09 10:19:15 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, ip-10-50-70-180.ec2.internal): java.io.InvalidClassException: org.apache.spark.executor.TaskMetrics; local class incompatible: stream classdesc serialVersionUID = -2231953621568687904, local class serialVersionUID = -6966587383730940799
at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:616)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1829)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1986)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:253)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)

我在 SO 中看到了一些其他链接并尝试了以下内容

1. 将spark jars的版本从我之前使用的2.10更改为2.11。现在pom中的依赖关系看起来像这样

    <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-core_2.11</artifactId>
       <version>2.0.2</version>
       <scope>provided</scope>
   
   </dependency>
   
   <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-sql_2.11</artifactId>
       <version>2.0.2</version>
       <scope>provided</scope>
   </dependency>
   
   <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-yarn_2.10 -->
   <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-yarn_2.11</artifactId>
       <version>2.0.2</version>
       <scope>provided</scope>
   </dependency>
   
   <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-mllib_2.11</artifactId>
       <version>2.0.2</version>
       <scope>provided</scope>
   </dependency>
   

2. 我还检查了 Spark 的 jars 文件夹中是否存在版本 2.11-2.0.2，如一些链接中所建议的。

3. 我还按照几个链接中的建议添加了依赖项中提供的内容

以上都没有帮助。当我陷入这个问题时，任何帮助都会有很大帮助。提前致谢。干杯

编辑1：这是spark-submit命令

spark-submit --deploy-mode cluster --class "com.abc.ingestion.GenericDeviceIngestionSpark" /home/hadoop/sathiya/spark_driven_ingestion-0.0.1-SNAPSHOT-jar-with-dependencies.jar "s3n://input-bucket/input-file.csv" "SIT" "accessToken" "UNKNOWN" "bundleId" "[{"idType":"D_ID","idOrder":1,"isPrimary":true},{"idType":"HASH_DEVICE_ID","idOrder":2,"isPrimary":false}]"

编辑2：

我还尝试添加变量serialVersionUID = -2231953621568687904L; 到相关的课程，但这并没有解决问题

Answer 1

我终于解决了这个问题。我注释掉了所有依赖项，并一次取消注释一个。首先，我取消注释了Spark_core依赖项，问题得到了解决。我取消了项目中另一个依赖项的注释，这再次带回了问题。然后经过调查，我发现第二个依赖项又依赖于 Spark_core 的不同版本（2.10），这导致了问题。我向依赖项添加了排除，如下所示：

<dependency>
        <groupId>com.data.utils</groupId>
        <artifactId>data-utils</artifactId>
        <version>1.0-SNAPSHOT</version>
        <exclusions>
            <exclusion>
                <groupId>javax.ws.rs</groupId>
                <artifactId>javax.ws.rs-api</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.apache.spark</groupId>
                <artifactId>spark-core_2.10</artifactId>
            </exclusion>
        </exclusions>
    </dependency>

这解决了这个问题。以防万一有人陷入这个问题。感谢@JosePraveen 的宝贵评论，它给了我提示。