异常信息如下:
Exception in thread "main" org.apache.spark.SparkException: Task not serializable at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:345) at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:335) at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:159) at org.apache.spark.SparkContext.clean(SparkContext.scala:2299) at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:371) at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:370) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:363) at org.apache.spark.rdd.RDD.map(RDD.scala:370) at com.sangfor.sdp.hbase.bulkload.BulkLoadData$$anonfun$main$1.apply$mcVI$sp(BulkLoadData.scala:86) at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:160) at com.sangfor.sdp.hbase.bulkload.BulkLoadData$.main(BulkLoadData.scala:84) at com.sangfor.sdp.hbase.bulkload.BulkLoadData.main(BulkLoadData.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:904) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: java.io.NotSerializableException: com.sdp.hbase.entity.IndexRowkeyMetaData Serialization stack: - object not serializable (class: com.sangfor.sdp.hbase.entity.IndexRowkeyMetaData, value: com.sangfor.sdp.hbase.entity.IndexRowkeyMetaData@4745bcc6) - field (class: com.sangfor.sdp.hbase.bulkload.BulkLoadData$$anonfun$main$1$$anonfun$5, name: indexRowkeyMetaData$1, type: class com.sangfor.sdp.hbase.entity.IndexRowkeyMetaData) - object (class com.sangfor.sdp.hbase.bulkload.BulkLoadData$$anonfun$main$1$$anonfun$5, <function1>) at org.apache.spark.serializer.SerializationDebugger$.improveException(SerializationDebugger.scala:40) at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:46) at org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:100) at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:342) ... 23 more
这是因为spark本身分发任务的时候,对象本身需要做序列化操作。如果没做,则在服务之间的无法做远程对象通信RPC。
有两种解决的方案:
一种是实体类集成
java.io.Serializable
接口
另一种是:
sparkConf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
sparkConf.registerKryoClasses(Array(classOf[com.sdp.hbase.entity.IndexRowkeyMetaData]))
来指定spark序列化的方案和对象。