Question

我正在使用spark 2.0.0（本地独立）和spark-cassandra-connector 2.0.0-M1 scala 2.11。我正在IDE上创建一个项目，每次运行spark命令我都会

ClassNotFoundException: com.datastax.spark.connector.rdd.partitioner.CassandraPartition
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    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$1.resolveClass(JavaSerializer.scala:67)
    at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1620)
    at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1521)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1781)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2018)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1942)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1808)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:373)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
    at org.apache.spark.executor.Executor$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)

我的build.sbt文件

ibraryDependencies += "com.datastax.spark" %% "spark-cassandra-connector" % "2.0.0-M1"

libraryDependencies += "org.apache.spark" %% "spark-core" % "2.0.0"

libraryDependencies += "org.apache.spark" %% "spark-sql" % "2.0.0"

所以基本上这是一条错误信息

Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 0.0 failed 4 times, most recent failure: Lost task 1.3 in stage 0.0 (TID 13, 192.168.0.12): java.lang.ClassNotFoundException: com.datastax.spark.connector.rdd.partitioner.CassandraPartition

问题是如果我使用带有

的spark-cassandra-connector运行spark shell

$ ./spark-shell --jars /home/Applications/spark-2.0.0-bin-hadoop2.7/spark-cassandra-connector-assembly-2.0.0-M1-22-gab4eda2.jar

我可以使用spark和cassandra，但没有错误消息。

有关如何排除这种奇怪的不兼容性的任何线索？

修改

这很有趣，从工作节点的角度来看，当我运行程序时，连接器给出了

`java.io.InvalidClassException: com.datastax.spark.connector.rdd.CassandraTableScanRDD; local class incompatible: stream classdesc serialVersionUID = 1517205208424539072, local class serialVersionUID = 6631934706192455668`

这最终给出了ClassNotFound（因为冲突而没有绑定）。但该项目仅使用spark and connector 2.0和scala 2.11，任何地方都没有版本不兼容。

Answer 1

在Spark中，仅因为您针对库构建并不意味着它将包含在运行时类路径中。如果您添加了

--jars  /home/Applications/spark-2.0.0-bin-hadoop2.7/spark-cassandra-connector-assembly-2.0.0-M1-22-gab4eda2.jar

对于您的应用程序的spark-submit，它将在运行时和所有远程jvms中包含所有必需的库。

所以基本上你看到的是，在第一个例子中，没有连接器库在运行时类路径上，在它们的spark-shell示例中。

由于ClassNotFoundException，在Cassandra上运行的Spark失败：com.datastax.spark.connector.rdd.partitioner.CassandraPartition（内部详情）

1 个答案: