[SPARK-12783] Dataset map serialization error

• Type: Bug
• Status: Resolved
• Priority: Critical
• Resolution: Fixed
• Affects Version/s: 1.6.0
• Fix Version/s: 1.6.1
• Component/s: SQL
• Target Version/s: 1.6.1, 2.0.0
• Assignee: Wenchen Fan
• Reporter: Muthu Jayakumar
• Created: 12/Jan/16 19:42
• Updated: 02/Feb/16 18:26
• Resolved: 02/Feb/16 18:26

Description

When Dataset API is used to map to another case class, an error is thrown.

case class MyMap(map: Map[String, String])
case class TestCaseClass(a: String, b: String){
  def toMyMap: MyMap = {
    MyMap(Map(a->b))
  }

  def toStr: String = {
    a
  }
}
//Main method section below
import sqlContext.implicits._
val df1 = sqlContext.createDataset(Seq(TestCaseClass("2015-05-01", "data1"), TestCaseClass("2015-05-01", "data2"))).toDF()
df1.as[TestCaseClass].map(_.toStr).show() //works fine
df1.as[TestCaseClass].map(_.toMyMap).show() //fails

Error message:

Caused by: java.io.NotSerializableException: scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol$$anon$1
Serialization stack:

• object not serializable (class: scala.reflect.runtime.SynchronizedSymbols$SynchronizedSymbol$$anon$1, value: package lang)
• field (class: scala.reflect.internal.Types$ThisType, name: sym, type: class scala.reflect.internal.Symbols$Symbol)
• object (class scala.reflect.internal.Types$UniqueThisType, java.lang.type)
• field (class: scala.reflect.internal.Types$TypeRef, name: pre, type: class scala.reflect.internal.Types$Type)
• object (class scala.reflect.internal.Types$ClassNoArgsTypeRef, String)
• field (class: scala.reflect.internal.Types$TypeRef, name: normalized, type: class scala.reflect.internal.Types$Type)
• object (class scala.reflect.internal.Types$AliasNoArgsTypeRef, String)
• field (class: org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$6, name: keyType$1, type: class scala.reflect.api.Types$TypeApi)
• object (class org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$6, <function1>)
• field (class: org.apache.spark.sql.catalyst.expressions.MapObjects, name: function, type: interface scala.Function1)
• object (class org.apache.spark.sql.catalyst.expressions.MapObjects, mapobjects(<function1>,invoke(upcast('map,MapType(StringType,StringType,true),- field (class: "scala.collection.immutable.Map", name: "map"),- root class: "collector.MyMap"),keyArray,ArrayType(StringType,true)),StringType))
• field (class: org.apache.spark.sql.catalyst.expressions.Invoke, name: targetObject, type: class org.apache.spark.sql.catalyst.expressions.Expression)
• object (class org.apache.spark.sql.catalyst.expressions.Invoke, invoke(mapobjects(<function1>,invoke(upcast('map,MapType(StringType,StringType,true),- field (class: "scala.collection.immutable.Map", name: "map"),- root class: "collector.MyMap"),keyArray,ArrayType(StringType,true)),StringType),array,ObjectType(class [Ljava.lang.Object))
• writeObject data (class: scala.collection.immutable.List$SerializationProxy)
• object (class scala.collection.immutable.List$SerializationProxy, scala.collection.immutable.List$SerializationProxy@4c7e3aab)
• writeReplace data (class: scala.collection.immutable.List$SerializationProxy)
• object (class scala.collection.immutable.$colon$colon, List(invoke(mapobjects(<function1>,invoke(upcast('map,MapType(StringType,StringType,true),- field (class: "scala.collection.immutable.Map", name: "map"),- root class: "collector.MyMap"),keyArray,ArrayType(StringType,true)),StringType),array,ObjectType(class [Ljava.lang.Object), invoke(mapobjects(<function1>,invoke(upcast('map,MapType(StringType,StringType,true),- field (class: "scala.collection.immutable.Map", name: "map"),- root class: "collector.MyMap"),valueArray,ArrayType(StringType,true)),StringType),array,ObjectType(class [Ljava.lang.Object)))
• field (class: org.apache.spark.sql.catalyst.expressions.StaticInvoke, name: arguments, type: interface scala.collection.Seq)
• object (class org.apache.spark.sql.catalyst.expressions.StaticInvoke, staticinvoke(class org.apache.spark.sql.catalyst.util.ArrayBasedMapData$,ObjectType(interface scala.collection.Map),toScalaMap,invoke(mapobjects(<function1>,invoke(upcast('map,MapType(StringType,StringType,true),- field (class: "scala.collection.immutable.Map", name: "map"),- root class: "collector.MyMap"),keyArray,ArrayType(StringType,true)),StringType),array,ObjectType(class [Ljava.lang.Object),invoke(mapobjects(<function1>,invoke(upcast('map,MapType(StringType,StringType,true),- field (class: "scala.collection.immutable.Map", name: "map"),- root class: "collector.MyMap"),valueArray,ArrayType(StringType,true)),StringType),array,ObjectType(class [Ljava.lang.Object),true))
• writeObject data (class: scala.collection.immutable.List$SerializationProxy)
• object (class scala.collection.immutable.List$SerializationProxy, scala.collection.immutable.List$SerializationProxy@78d9820)
• writeReplace data (class: scala.collection.immutable.List$SerializationProxy)
• object (class scala.collection.immutable.$colon$colon, List(staticinvoke(class org.apache.spark.sql.catalyst.util.ArrayBasedMapData$,ObjectType(interface scala.collection.Map),toScalaMap,invoke(mapobjects(<function1>,invoke(upcast('map,MapType(StringType,StringType,true),- field (class: "scala.collection.immutable.Map", name: "map"),- root class: "collector.MyMap"),keyArray,ArrayType(StringType,true)),StringType),array,ObjectType(class [Ljava.lang.Object),invoke(mapobjects(<function1>,invoke(upcast('map,MapType(StringType,StringType,true),- field (class: "scala.collection.immutable.Map", name: "map"),- root class: "collector.MyMap"),valueArray,ArrayType(StringType,true)),StringType),array,ObjectType(class [Ljava.lang.Object),true)))
• field (class: org.apache.spark.sql.catalyst.expressions.NewInstance, name: arguments, type: interface scala.collection.Seq)
• object (class org.apache.spark.sql.catalyst.expressions.NewInstance, newinstance(class collector.MyMap,staticinvoke(class org.apache.spark.sql.catalyst.util.ArrayBasedMapData$,ObjectType(interface scala.collection.Map),toScalaMap,invoke(mapobjects(<function1>,invoke(upcast('map,MapType(StringType,StringType,true),- field (class: "scala.collection.immutable.Map", name: "map"),- root class: "collector.MyMap"),keyArray,ArrayType(StringType,true)),StringType),array,ObjectType(class [Ljava.lang.Object),invoke(mapobjects(<function1>,invoke(upcast('map,MapType(StringType,StringType,true),- field (class: "scala.collection.immutable.Map", name: "map"),- root class: "collector.MyMap"),valueArray,ArrayType(StringType,true)),StringType),array,ObjectType(class [Ljava.lang.Object),true),false,ObjectType(class collector.MyMap),None))
• field (class: org.apache.spark.sql.catalyst.encoders.ExpressionEncoder, name: fromRowExpression, type: class org.apache.spark.sql.catalyst.expressions.Expression)
• object (class org.apache.spark.sql.catalyst.encoders.ExpressionEncoder, class[map#ExprId(9,5d198984-4022-43b2-a2a3-ddbb214ba0ef): map<string,string>])
• field (class: org.apache.spark.sql.execution.MapPartitions, name: uEncoder, type: class org.apache.spark.sql.catalyst.encoders.ExpressionEncoder)
• object (class org.apache.spark.sql.execution.MapPartitions, !MapPartitions <function1>, class[a[0]: string, b[0]: string], class[map#ExprId(9,5d198984-4022-43b2-a2a3-ddbb214ba0ef): map<string,string>], map#13
  +- LocalTableScan a#2,b#3, [[0,180000000a,2800000005,2d35302d35313032,3130,3161746164],[0,180000000a,2800000005,2d35302d35313032,3130,3261746164]]
  )
• field (class: org.apache.spark.sql.execution.MapPartitions$$anonfun$8, name: $outer, type: class org.apache.spark.sql.execution.MapPartitions)
• object (class org.apache.spark.sql.execution.MapPartitions$$anonfun$8, <function1>)
• field (class: org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1, name: f$22, type: interface scala.Function1)
• object (class org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1, <function0>)
• field (class: org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21, name: $outer, type: class org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1)
• object (class org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21, <function3>)
• field (class: org.apache.spark.rdd.MapPartitionsRDD, name: f, type: interface scala.Function3)
• object (class org.apache.spark.rdd.MapPartitionsRDD, MapPartitionsRDD[1] at show at CollectorSparkTest.scala:50)
• field (class: org.apache.spark.NarrowDependency, name: _rdd, type: class org.apache.spark.rdd.RDD)
• object (class org.apache.spark.OneToOneDependency, org.apache.spark.OneToOneDependency@4d60c27d)
• writeObject data (class: scala.collection.immutable.List$SerializationProxy)
• object (class scala.collection.immutable.List$SerializationProxy, scala.collection.immutable.List$SerializationProxy@6c436651)
• writeReplace data (class: scala.collection.immutable.List$SerializationProxy)
• object (class scala.collection.immutable.$colon$colon, List(org.apache.spark.OneToOneDependency@4d60c27d))
• field (class: org.apache.spark.rdd.RDD, name: org$apache$spark$rdd$RDD$$dependencies_, type: interface scala.collection.Seq)
• object (class org.apache.spark.rdd.MapPartitionsRDD, MapPartitionsRDD[2] at show at CollectorSparkTest.scala:50)
• field (class: scala.Tuple2, name: _1, type: class java.lang.Object)
• object (class scala.Tuple2, (MapPartitionsRDD[2] at show at CollectorSparkTest.scala:50,<function2>))
  at org.apache.spark.serializer.SerializationDebugger$.improveException(SerializationDebugger.scala:40)
  at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:47)
  at org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:101)
  at org.apache.spark.scheduler.DAGScheduler.submitMissingTasks(DAGScheduler.scala:1003)
  at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:921)
  at org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:861)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1607)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
  at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)

Issue Links

• links to: [Github] Pull Request #10781 (cloud-fan)