在我的项目中，我使用spark cassandra连接器从cassandra表中读取数据并将其进一步处理为javardd，但在将cassandra行处理为javardd时遇到了问题。

org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 0.0 failed 4 times, most recent failure: Lost task 2.3 in stage 0.0 (TID 52, 172.20.0.4, executor 1):
 java.lang.ClassNotFoundException: com.datastax.spark.connector.rdd.partitioner.CassandraPartition
    at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:348)
    at org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67)
    at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1868)
    at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1751)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2042)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1573)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2287)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2211)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2069)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1573)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:431)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:370)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

我已将spark配置为使用spark群集。当我使用主程序作为本地代码时，代码运行良好，但是一旦我用主程序替换它，我就面临问题。以下是我的spark配置：

SparkConf sparkConf = new SparkConf().setAppName("Data Transformation")
                .set("spark.serializer", "org.apache.spark.serializer.KryoSerializer").setMaster("spark://masterip:7077");

        sparkConf.set("spark.cassandra.connection.host", cassandraContactPoints);
        sparkConf.set("spark.cassandra.connection.port", cassandraPort);
        sparkConf.set("spark.cassandra.connection.timeout_ms", "5000");
        sparkConf.set("spark.cassandra.read.timeout_ms", "200000");
        sparkConf.set("spark.driver.allowMultipleContexts", "true");

        /*
         * sparkConf.set("spark.cassandra.auth.username", "centralrw");
         * sparkConf.set("spark.cassandra.auth.password", "t8b9HRWy");
         */
        logger.info("creating spark context object");
        sparkContext = new JavaSparkContext(sparkConf);
        logger.info("returning sparkcontext object");
        return sparkContext;

spark版本-2.4.0 spark-cassandraèu连接器-2.4.0
接收者配置：

public List<Map<String, GenericTriggerEntity>> readDataFromGenericTriggerEntityUsingSpark(
            JavaSparkContext sparkContext) {

        List<Map<String, GenericTriggerEntity>> genericTriggerEntityList = new ArrayList<Map<String, GenericTriggerEntity>>();

        try {

            logger.info("Keyspace & table name to read data from cassandra");
            String tableName = "generictriggerentity";
            String keySpace = "centraldatalake";

            logger.info("establishing conection");
            CassandraJavaRDD<CassandraRow> cassandraRDD = CassandraJavaUtil.javaFunctions(sparkContext)
                    .cassandraTable(keySpace, tableName);
            int num = cassandraRDD.getNumPartitions();
            System.out.println("num- " + num);

            logger.info("Converting extracted rows to JavaRDD");
            JavaRDD<Map<String, GenericTriggerEntity>> rdd = cassandraRDD
                    .map(new Function<CassandraRow, Map<String, GenericTriggerEntity>>() {

                        private static final long serialVersionUID = -165799649937652815L;

                        @Override
                        public Map<String, GenericTriggerEntity> call(CassandraRow row) throws Exception {
                            Map<String, GenericTriggerEntity> genericTriggerEntityMap = new HashMap<String, GenericTriggerEntity>();
                            GenericTriggerEntity genericTriggerEntity = new GenericTriggerEntity();
                            if (row.getString("end") != null)
                                genericTriggerEntity.setEnd(row.getString("end"));
                            if (row.getString("key") != null)
                                genericTriggerEntity.setKey(row.getString("key"));
                            if (row.getString("keyspacename") != null)
                                genericTriggerEntity.setKeyspacename(row.getString("keyspacename"));
                            if (row.getString("partitiondeleted") != null)
                                genericTriggerEntity.setPartitiondeleted(row.getString("partitiondeleted"));
                            if (row.getString("rowdeleted") != null)
                                genericTriggerEntity.setRowdeleted(row.getString("rowdeleted"));
                            if (row.getString("rows") != null)
                                genericTriggerEntity.setRows(row.getString("rows"));
                            if (row.getString("start") != null)
                                genericTriggerEntity.setStart(row.getString("start"));
                            if (row.getString("tablename") != null) {
                                genericTriggerEntity.setTablename(row.getString("tablename"));
                                dataTableName = row.getString("tablename");
                            }
                            if (row.getString("triggerdate") != null)
                                genericTriggerEntity.setTriggerdate(row.getString("triggerdate"));
                            if (row.getString("triggertime") != null)
                                genericTriggerEntity.setTriggertime(row.getString("triggertime"));
                            if (row.getString("uuid") != null)
                                genericTriggerEntity.setUuid(row.getUUID("uuid"));

                            genericTriggerEntityMap.put(dataTableName, genericTriggerEntity);
                            return genericTriggerEntityMap;
                        }

                    });

            List<Partition> partition = rdd.partitions();
            System.out.println("partion - " + partition.size());

            logger.info("Collecting data into rdd");
            genericTriggerEntityList = rdd.collect();

        } catch (Exception e) {
            e.printStackTrace();
        }
        logger.info("returning generic trigger entity list");
        return genericTriggerEntityList;
    }

当我执行rdd.collect（）时，它给出了一个异常

org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 21, 10.22.3.55, executor 0): java.lang.ClassNotFoundException: in.dmart.central.data.transform.base.config.ReceiverConfig$1

我找到了一个创建胖jar并将其包含在代码中的解决方案，但我不想这样做，因为每次我做任何更改时，我都必须再次执行该过程，这是不可能的。
请建议在代码或spark集群中配置一些解决方案。提前谢谢。