James Eastwood created SPARK-12714:
--------------------------------------
Summary: Transforming Dataset with sequences of case classes to
RDD causes Task Not Serializable exception
Key: SPARK-12714
URL: https://issues.apache.org/jira/browse/SPARK-12714
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.6.0
Environment: linux 3.13.0-24-generic, scala 2.10.6
Reporter: James Eastwood
Attempting to transform a Dataset of a case class containing a nested sequence
of case classes causes an exception to be thrown:
`org.apache.spark.SparkException: Task not serializable`.
Here is a minimum repro:
{code}
import org.apache.spark.sql.SQLContext
import org.apache.spark.{SparkContext, SparkConf}
case class Top(a: String, nested: Array[Nested])
case class Nested(b: String)
object scratch {
def main ( args: Array[String] ) {
lazy val sparkConf = new
SparkConf().setAppName("scratch").setMaster("local[1]")
lazy val sparkContext = new SparkContext(sparkConf)
lazy val sqlContext = new SQLContext(sparkContext)
val input = List(
"""{ "a": "123", "nested": [{ "b": "123" }] }"""
)
import sqlContext.implicits._
val ds = sqlContext.read.json(sparkContext.parallelize(input)).as[Top]
ds.rdd.foreach(println)
sparkContext.stop()
}
}
{code}
{code}
scalaVersion := "2.10.6"
lazy val sparkVersion = "1.6.0"
libraryDependencies ++= List(
"org.apache.spark" %% "spark-core" % sparkVersion % "provided",
"org.apache.spark" %% "spark-sql" % sparkVersion % "provided",
"org.apache.spark" %% "spark-hive" % sparkVersion % "provided"
)
{code}
Full stack trace:
{code}
[error] (run-main-0) org.apache.spark.SparkException: Task not serializable
org.apache.spark.SparkException: Task not serializable
at
org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:304)
at
org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:294)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:122)
at org.apache.spark.SparkContext.clean(SparkContext.scala:2055)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:707)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:706)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.RDD.mapPartitions(RDD.scala:706)
at org.apache.spark.sql.Dataset.rdd(Dataset.scala:166)
at scratch$.main(scratch.scala:26)
at scratch.main(scratch.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
Caused by: java.io.NotSerializableException:
scala.reflect.internal.Mirrors$Roots$EmptyPackageClass$
Serialization stack:
- object not serializable (class:
scala.reflect.internal.Mirrors$Roots$EmptyPackageClass$, value: package <empty>)
- field (class: scala.reflect.internal.Types$ThisType, name: sym, type:
class scala.reflect.internal.Symbols$Symbol)
- object (class scala.reflect.internal.Types$UniqueThisType, <empty>)
- field (class: scala.reflect.internal.Types$TypeRef, name: pre, type:
class scala.reflect.internal.Types$Type)
- object (class scala.reflect.internal.Types$TypeRef$$anon$6, Nested)
- field (class:
org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$org$apache$spark$sql$catalyst$ScalaReflection$$constructorFor$2,
name: elementType$1, type: class scala.reflect.api.Types$TypeApi)
- object (class
org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$org$apache$spark$sql$catalyst$ScalaReflection$$constructorFor$2,
<function0>)
- field (class:
org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$org$apache$spark$sql$catalyst$ScalaReflection$$constructorFor$2$$anonfun$apply$1,
name: $outer, type: class
org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$org$apache$spark$sql$catalyst$ScalaReflection$$constructorFor$2)
- object (class
org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$org$apache$spark$sql$catalyst$ScalaReflection$$constructorFor$2$$anonfun$apply$1,
<function1>)
- field (class: org.apache.spark.sql.catalyst.expressions.MapObjects,
name: function, type: interface scala.Function1)
- object (class org.apache.spark.sql.catalyst.expressions.MapObjects,
mapobjects(<function1>,input[1,
ArrayType(StructType(StructField(b,StringType,true)),true)],StructField(b,StringType,true)))
- field (class: org.apache.spark.sql.catalyst.expressions.Invoke, name:
targetObject, type: class org.apache.spark.sql.catalyst.expressions.Expression)
- object (class org.apache.spark.sql.catalyst.expressions.Invoke,
invoke(mapobjects(<function1>,input[1,
ArrayType(StructType(StructField(b,StringType,true)),true)],StructField(b,StringType,true)),array,ObjectType(class
[LNested;)))
- writeObject data (class: scala.collection.immutable.$colon$colon)
- object (class scala.collection.immutable.$colon$colon,
List(invoke(input[0, StringType],toString,ObjectType(class java.lang.String)),
invoke(mapobjects(<function1>,input[1,
ArrayType(StructType(StructField(b,StringType,true)),true)],StructField(b,StringType,true)),array,ObjectType(class
[LNested;))))
- 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 Top,invoke(input[0, StringType],toString,ObjectType(class
java.lang.String)),invoke(mapobjects(<function1>,input[1,
ArrayType(StructType(StructField(b,StringType,true)),true)],StructField(b,StringType,true)),array,ObjectType(class
[LNested;)),false,ObjectType(class Top),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[a[0]: string,
nested#ExprId(4,bc90ecfb-37ae-45bd-b0a1-7365a1a233d1): array<struct<b:string>>])
- field (class: org.apache.spark.sql.Dataset, name: boundTEncoder,
type: class org.apache.spark.sql.catalyst.encoders.ExpressionEncoder)
- object (class org.apache.spark.sql.Dataset, [a: string, nested:
array<struct<b:string>>])
- field (class: org.apache.spark.sql.Dataset$$anonfun$rdd$1, name:
$outer, type: class org.apache.spark.sql.Dataset)
- object (class org.apache.spark.sql.Dataset$$anonfun$rdd$1,
<function1>)
at
org.apache.spark.serializer.SerializationDebugger$.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.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:301)
at
org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:294)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:122)
at org.apache.spark.SparkContext.clean(SparkContext.scala:2055)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:707)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:706)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.RDD.mapPartitions(RDD.scala:706)
at org.apache.spark.sql.Dataset.rdd(Dataset.scala:166)
at scratch$.main(scratch.scala:26)
at scratch.main(scratch.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
{code}
Given the messages surrounding Datasets supporting only primitive types and
case classes I'm not 100% sure this is a bug or just as-yet unsupported.
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