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Spark-java.lang.ClassCastException:无法分配scala.collection.immutable.List$SerializationProxy的实例_Scala_Apache Spark_Seq - Fatal编程技术网

Spark-java.lang.ClassCastException:无法分配scala.collection.immutable.List$SerializationProxy的实例

Spark-java.lang.ClassCastException:无法分配scala.collection.immutable.List$SerializationProxy的实例,scala,apache-spark,seq,Scala,Apache Spark,Seq,我有一个带有模式的数据框架: root |-- QUERY: string (nullable = true) |-- TYPE: string (nullable = true) |-- DEVICE: string (nullable = true) |-- PURCHASE_UNITS_SUM: double (nullable = true) |-- CLICK_SUM: decimal(38,18) (nullable = true) |-- IMPRESSION_COUN

我有一个带有模式的数据框架:

root
 |-- QUERY: string (nullable = true)
 |-- TYPE: string (nullable = true)
 |-- DEVICE: string (nullable = true)
 |-- PURCHASE_UNITS_SUM: double (nullable = true)
 |-- CLICK_SUM: decimal(38,18) (nullable = true)
 |-- IMPRESSION_COUNT: long (nullable = false)
 |-- CLICK_THROUGH_RATE: decimal(38,2) (nullable = true)
 |-- PURCHASE_RATE: double (nullable = true)
我正在尝试将某些列转换为映射(设备->列):

这给了我-

root
 |-- QUERY: string (nullable = true)
 |-- TYPE: string (nullable = true)
 |-- CLICK_THROUGH_RATE: map (nullable = true)
 |    |-- key: string
 |    |-- value: string (valueContainsNull = true)
 |-- PURCHASE_RATE: map (nullable = true)
 |    |-- key: string
 |    |-- value: string (valueContainsNull = true)
 |-- PURCHASE_UNITS: map (nullable = true)
 |    |-- key: string
 |    |-- value: string (valueContainsNull = true)
 |-- CLICKS: map (nullable = true)
 |    |-- key: string
 |    |-- value: string (valueContainsNull = true)
 |-- IMPRESSIONS: map (nullable = true)
 |    |-- key: string
 |    |-- value: string (valueContainsNull = true)
但当我做result.count时,我得到了这个异常-

org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 63.0 failed 4 times, most recent failure: Lost task 0.3 in stage 63.0 (TID 62365, ip-10-0-1-52.ec2.internal, executor 2): java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD
    at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2287)
    at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1417)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2347)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2265)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2123)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1624)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2341)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2265)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2123)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1624)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:464)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
    at scala.collection.immutable.List$SerializationProxy.readObject(List.scala:490)
    at sun.reflect.GeneratedMethodAccessor232.invoke(Unknown Source)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1170)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2232)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2123)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1624)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2341)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2265)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2123)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1624)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2341)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2265)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2123)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1624)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:464)
    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.scheduler.ResultTask.runTask(ResultTask.scala:83)
    at org.apache.spark.scheduler.Task.run(Task.scala:123)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
  at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2041)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2029)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2028)
  at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
  at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2028)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:966)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:966)
  at scala.Option.foreach(Option.scala:257)
  at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:966)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2262)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2211)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2200)
  at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
  at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:777)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:401)
  at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
  at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3389)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2550)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2550)
  at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
  at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
  at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
  at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
  at org.apache.spark.sql.Dataset.head(Dataset.scala:2550)
  at org.apache.spark.sql.Dataset.take(Dataset.scala:2764)
  at org.apache.spark.sql.Dataset.getRows(Dataset.scala:254)
  at org.apache.spark.sql.Dataset.showString(Dataset.scala:291)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:753)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:730)
  ... 53 elided
Caused by: java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD
  at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2287)
  at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1417)
  at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2347)
  at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2265)
  at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2123)
  at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1624)
  at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2341)
  at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2265)
  at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2123)
  at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1624)
  at java.io.ObjectInputStream.readObject(ObjectInputStream.java:464)
  at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
  at scala.collection.immutable.List$SerializationProxy.readObject(List.scala:490)
  at sun.reflect.GeneratedMethodAccessor232.invoke(Unknown Source)
  at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
  at java.lang.reflect.Method.invoke(Method.java:498)
  at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1170)
  at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2232)
  at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2123)
  at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1624)
  at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2341)
  at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2265)
  at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2123)
  at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1624)
  at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2341)
  at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2265)
  at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2123)
  at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1624)
  at java.io.ObjectInputStream.readObject(ObjectInputStream.java:464)
  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.scheduler.ResultTask.runTask(ResultTask.scala:83)
  at org.apache.spark.scheduler.Task.run(Task.scala:123)
  at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
  at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
  ... 3 more

我做错什么了吗?

我对你的代码做了一点修改,结果出来了

使用与您的模式相同的单个记录创建了一个数据帧

val df = Seq(("select * from test", "type1", "device1", "10.0", "20.0", "1234", "23.4567", "10.98")).toDF.selectExpr("_1 as QUERY", "_2 as TYPE", "_3 as DEVICE", "_4 as PURCHASE_UNITS_SUM", "_5 as CLICK_SUM", "_6 as IMPRESSION_COUNT", "_7 as CLICK_THROUGH_RATE", "_8 as PURCHASE_RATE")
下面是模式和示例行

root
 |-- QUERY: string (nullable = true)
 |-- TYPE: string (nullable = true)
 |-- DEVICE: string (nullable = true)
 |-- PURCHASE_UNITS_SUM: string (nullable = true)
 |-- CLICK_SUM: string (nullable = true)
 |-- IMPRESSION_COUNT: string (nullable = true)
 |-- CLICK_THROUGH_RATE: string (nullable = true)
 |-- PURCHASE_RATE: string (nullable = true)

+------------------+-----+-------+------------------+---------+----------------+------------------+-------------+
|             QUERY| TYPE| DEVICE|PURCHASE_UNITS_SUM|CLICK_SUM|IMPRESSION_COUNT|CLICK_THROUGH_RATE|PURCHASE_RATE|
+------------------+-----+-------+------------------+---------+----------------+------------------+-------------+
|select * from test|type1|device1|              10.0|     20.0|            1234|           23.4567|        10.98|
+------------------+-----+-------+------------------+---------+----------------+------------------+-------------+
结果显示

+------------------+-----+------------------------------------+-------------------------------+------------------------------+---------------------------+--------------------------------+
|             QUERY| TYPE|collect_list(CLICK_THROUGH_RATE_MAP)|collect_list(PURCHASE_RATE_MAP)|collect_list(PURCHASE_SUM_MAP)|collect_list(CLICK_SUM_MAP)|collect_list(IMPRESSION_SUM_MAP)|
+------------------+-----+------------------------------------+-------------------------------+------------------------------+---------------------------+--------------------------------+
|select * from test|type1|                [Map(device1 -> 2...|           [Map(device1 -> 1...|          [Map(device1 -> 1...|       [Map(device1 -> 2...|            [Map(device1 -> 1...|
+------------------+-----+------------------------------------+-------------------------------+------------------------------+---------------------------+--------------------------------+
我对map函数做了如下更改

val finalresultdf = result.map { f => (f._1, f._2, f._3.reduce(_ ++ _), f._4.reduce(_ ++ _), f._5.reduce(_ ++ _), f._6.reduce(_ ++ _), f._7.reduce(_ ++ _)) }.
      toDF("QUERY", "TYPE", "CLICK_THROUGH_RATE", "PURCHASE_RATE", "PURCHASE_UNITS", "CLICKS", "IMPRESSIONS")

最终结果显示

+------------------+-----+--------------------+--------------------+--------------------+--------------------+--------------------+
|             QUERY| TYPE|  CLICK_THROUGH_RATE|       PURCHASE_RATE|      PURCHASE_UNITS|              CLICKS|         IMPRESSIONS|
+------------------+-----+--------------------+--------------------+--------------------+--------------------+--------------------+
|select * from test|type1|Map(device1 -> 23...|Map(device1 -> 10...|Map(device1 -> 10.0)|Map(device1 -> 20.0)|Map(device1 -> 12...|
+------------------+-----+--------------------+--------------------+--------------------+--------------------+--------------------+
最终结果f.count

scala> finalresultdf.count
res34: Long = 1

希望这有帮助

HashMap也有同样的问题

我在这里找到了解决方案:

您必须将代码中的类ObjectInputStream替换为一个新类:ObjectInputStreamWithCustomClassLoader

    class ObjectInputStreamWithCustomClassLoader(
      fileInputStream: FileInputStream
    ) extends ObjectInputStream(fileInputStream) {
      override def resolveClass(desc: java.io.ObjectStreamClass): Class[_] = {
        try { Class.forName(desc.getName, false, getClass.getClassLoader) }
        catch { case ex: ClassNotFoundException => super.resolveClass(desc) }
      }
    }

这似乎和你在这个问题上的错误一样:?正如我在那里评论的那样,我建议检查您的依赖关系。我仍然无法将scala.collection.immutable.List$SerializationProxy的实例分配给字段org.apache.spark.rdd.rdd,我认为这是依赖性的问题
scala> finalresultdf.count
res34: Long = 1
    class ObjectInputStreamWithCustomClassLoader(
      fileInputStream: FileInputStream
    ) extends ObjectInputStream(fileInputStream) {
      override def resolveClass(desc: java.io.ObjectStreamClass): Class[_] = {
        try { Class.forName(desc.getName, false, getClass.getClassLoader) }
        catch { case ex: ClassNotFoundException => super.resolveClass(desc) }
      }
    }