spark2.1注册内部函数spark.udf.register("xx", xxx _)，运行时抛出异常：Task not serializable

函数代码：

class MySparkJob{
    def entry(spark:SparkSession):Unit={
          def getInnerRsrp(outer_rsrp: Double, wear_loss: Double, path_loss: Double): Double = {
          val innerRsrp: Double = outer_rsrp - wear_loss - (XX) * path_loss

          innerRsrp
        }
        spark.udf.register("getXXX", getXXX _)

        import spark.sql
        sql(s"""|select getInnerRsrp(t10.outer_rsrp,t10.wear_loss,t10.path_loss) as rsrp, xx from yy""".stripMargin)
    }
}

使用spark-submit提交函数时，抛出异常：

User class threw exception: org.apache.spark.SparkException: Task not serializable 

org.apache.spark.SparkException: Task not serializable
    at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:298)
    at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:288)
    at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:108)
    at org.apache.spark.SparkContext.clean(SparkContext.scala:2125)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1.apply(RDD.scala:842)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1.apply(RDD.scala:841)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
    at org.apache.spark.rdd.RDD.mapPartitionsWithIndex(RDD.scala:841)
    at com.dx.fpd_withscenetype.MySparkJob.entry(MySparkJob.scala:207)
    at com.dx.App$.main(App.scala:58)
    at com.dx.App.main(App.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:650)
Caused by: java.io.NotSerializableException: com.dx.fpd_withscenetype.MySparkJob
Serialization stack:
    - object not serializable (class: com.dx.fpd_withscenetype.MySparkJob, value: [email protected])
    - field (class: com.dx.fpd_withscenetype.MySparkJob$$anonfun$entry$1, name: $outer, type: class com.dx.fpd_withscenetype.MySparkJob)
    - object (class com.dx.fpd_withscenetype.MySparkJob$$anonfun$entry$1, <function2>)
    - field (class: org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$3, name: func$3, type: interface scala.Function2)
    - object (class org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$3, <function1>)
    - field (class: org.apache.spark.sql.catalyst.expressions.ScalaUDF, name: f, type: interface scala.Function1)
    - object (class org.apache.spark.sql.catalyst.expressions.ScalaUDF, UDF:getInnerRsrp(cast(input[1, double, true] as int), cast(input[12, double, true] as int), cast(input[13, double, true] as int)))
    - element of array (index: 1)
    - array (class [Ljava.lang.Object;, size 3)
    - field (class: org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10, name: references$1, type: class [Ljava.lang.Object;)
    - object (class org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10, <function2>)
    at org.apache.spark.serializer.SerializationDebugger$.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:295)
    ... 147 more

解决方案：

把当前MySparkJob集成Serializable

class MySparkJob extends Serializable {
    xxx
}

原文地址：https://www.cnblogs.com/yy3b2007com/p/8570796.html