[
https://issues.apache.org/jira/browse/SPARK-12696?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust resolved SPARK-12696.
--------------------------------------
Resolution: Fixed
Fix Version/s: 1.6.1
Issue resolved by pull request 10650
[https://github.com/apache/spark/pull/10650]
> Dataset serialization error
> ---------------------------
>
> Key: SPARK-12696
> URL: https://issues.apache.org/jira/browse/SPARK-12696
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Michael Armbrust
> Assignee: Michael Armbrust
> Priority: Blocker
> Fix For: 1.6.1
>
>
> input snapshot
> {code}
> {
> "count": "string",
> "name": [{
> "addr_no": "string",
> "dais_id": "string",
> "display_name": "string",
> "first_name": "string",
> "full_name": "string",
> "last_name": "string",
> "r_id": "string",
> "reprint": "string",
> "role": "string",
> "seq_no": "string",
> "suffix": "string",
> "wos_standard": "string"
> }]
> }
> {code}
> Case classes:
> {code}
> case class listType1(addr_no:String, dais_id:String, display_name:String,
> first_name:String, full_name:String, last_name:String, r_id:String,
> reprint:String, role:String, seq_no:String, suffix:String,
> wos_standard:String)
> case class DatasetType1(count:String, name:Array[listType1])
> {code}
> Schema:
> {code}
> root
> |-- count: string (nullable = true)
> |-- name: array (nullable = true)
> | |-- element: struct (containsNull = true)
> | | |-- addr_no: string (nullable = true)
> | | |-- dais_id: string (nullable = true)
> | | |-- display_name: string (nullable = true)
> | | |-- first_name: string (nullable = true)
> | | |-- full_name: string (nullable = true)
> | | |-- last_name: string (nullable = true)
> | | |-- r_id: string (nullable = true)
> | | |-- reprint: string (nullable = true)
> | | |-- role: string (nullable = true)
> | | |-- seq_no: string (nullable = true)
> | | |-- suffix: string (nullable = true)
> | | |-- wos_standard: string (nullable = true)
> {code}
> Scala code:
> {code}
> import sqlContext.implicits._
> val ds = df.as[DatasetType1]
> //Taking first() works fine
> println(ds.first().count)
> //map() then first throws exception
> println(ds.map(x => x.count).first())
> {code}
> {code}
> Exception in thread "main" 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$$clean(ClosureCleaner.scala:294)
> at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:122)
> at org.apache.spark.SparkContext.clean(SparkContext.scala:2055)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1857)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
> at org.apache.spark.sql.Dataset.collect(Dataset.scala:668)
> at main.main$.testAsterixRDDWithSparkSQL(main.scala:63)
> at main.main$.main(main.scala:70)
> at main.main.main(main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
> Caused by: java.io.NotSerializableException:
> scala.reflect.internal.Symbols$PackageClassSymbol
> Serialization stack:
> - object not serializable (class:
> scala.reflect.internal.Symbols$PackageClassSymbol, value: package main)
> - field (class: scala.reflect.internal.Types$ThisType, name: sym, type:
> class scala.reflect.internal.Symbols$Symbol)
> - object (class scala.reflect.internal.Types$UniqueThisType, main.type)
> - field (class: scala.reflect.internal.Types$TypeRef, name: pre, type:
> class scala.reflect.internal.Types$Type)
> - object (class scala.reflect.internal.Types$TypeRef$$anon$6,
> main.listType1)
> - field (class:
> org.apache.spark.sql.catalyst.ScalaReflection$$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>,cast(name#1 as
> array<struct<display_name:string,first_name:string,full_name:string,reprint:string,role:string,wos_standard:string,last_name:string,dais_id:string,seq_no:string,suffix:string,r_id:string,addr_no:string>>),StructField(display_name,StringType,true),StructField(first_name,StringType,true),StructField(full_name,StringType,true),StructField(reprint,StringType,true),StructField(role,StringType,true),StructField(wos_standard,StringType,true),StructField(last_name,StringType,true),StructField(dais_id,StringType,true),StructField(seq_no,StringType,true),StructField(suffix,StringType,true),StructField(r_id,StringType,true),StructField(addr_no,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>,cast(name#1 as
> array<struct<display_name:string,first_name:string,full_name:string,reprint:string,role:string,wos_standard:string,last_name:string,dais_id:string,seq_no:string,suffix:string,r_id:string,addr_no:string>>),StructField(display_name,StringType,true),StructField(first_name,StringType,true),StructField(full_name,StringType,true),StructField(reprint,StringType,true),StructField(role,StringType,true),StructField(wos_standard,StringType,true),StructField(last_name,StringType,true),StructField(dais_id,StringType,true),StructField(seq_no,StringType,true),StructField(suffix,StringType,true),StructField(r_id,StringType,true),StructField(addr_no,StringType,true)),array,ObjectType(class
> [Lmain.listType1;)))
> - writeObject data (class: scala.collection.immutable.$colon$colon)
> - object (class scala.collection.immutable.$colon$colon,
> List(invoke(count#0,toString,ObjectType(class java.lang.String)),
> invoke(mapobjects(<function1>,cast(name#1 as
> array<struct<display_name:string,first_name:string,full_name:string,reprint:string,role:string,wos_standard:string,last_name:string,dais_id:string,seq_no:string,suffix:string,r_id:string,addr_no:string>>),StructField(display_name,StringType,true),StructField(first_name,StringType,true),StructField(full_name,StringType,true),StructField(reprint,StringType,true),StructField(role,StringType,true),StructField(wos_standard,StringType,true),StructField(last_name,StringType,true),StructField(dais_id,StringType,true),StructField(seq_no,StringType,true),StructField(suffix,StringType,true),StructField(r_id,StringType,true),StructField(addr_no,StringType,true)),array,ObjectType(class
> [Lmain.listType1;))))
> - 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 main.DatasetType1,invoke(count#0,toString,ObjectType(class
> java.lang.String)),invoke(mapobjects(<function1>,cast(name#1 as
> array<struct<display_name:string,first_name:string,full_name:string,reprint:string,role:string,wos_standard:string,last_name:string,dais_id:string,seq_no:string,suffix:string,r_id:string,addr_no:string>>),StructField(display_name,StringType,true),StructField(first_name,StringType,true),StructField(full_name,StringType,true),StructField(reprint,StringType,true),StructField(role,StringType,true),StructField(wos_standard,StringType,true),StructField(last_name,StringType,true),StructField(dais_id,StringType,true),StructField(seq_no,StringType,true),StructField(suffix,StringType,true),StructField(r_id,StringType,true),StructField(addr_no,StringType,true)),array,ObjectType(class
> [Lmain.listType1;)),false,ObjectType(class main.DatasetType1),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[count[0]:
> string, name#ExprId(4,879d493d-efa1-4799-8fc4-5872ccb3b07b):
> array<struct<display_name:string,first_name:string,full_name:string,reprint:string,role:string,wos_standard:string,last_name:string,dais_id:string,seq_no:string,suffix:string,r_id:string,addr_no:string>>])
> - field (class: org.apache.spark.sql.execution.MapPartitions, name:
> tEncoder, type: class
> org.apache.spark.sql.catalyst.encoders.ExpressionEncoder)
> - object (class org.apache.spark.sql.execution.MapPartitions,
> !MapPartitions <function1>, class[count[0]: string,
> name#ExprId(4,879d493d-efa1-4799-8fc4-5872ccb3b07b):
> array<struct<display_name:string,first_name:string,full_name:string,reprint:string,role:string,wos_standard:string,last_name:string,dais_id:string,seq_no:string,suffix:string,r_id:string,addr_no:string>>],
> class[value[0]: string], [value#10]
> +- ConvertToSafe
> +- Scan JSONRelation[count#0,name#1] InputPaths:
> )
> - 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$21,
> <function3>)
> - field (class: org.apache.spark.rdd.MapPartitionsRDD, name: f, type:
> interface scala.Function3)
> - object (class org.apache.spark.rdd.MapPartitionsRDD,
> MapPartitionsRDD[6] at collect at main.scala:63)
> - field (class: org.apache.spark.NarrowDependency, name: _rdd, type:
> class org.apache.spark.rdd.RDD)
> - object (class org.apache.spark.OneToOneDependency,
> org.apache.spark.OneToOneDependency@7793b55d)
> - writeObject data (class: scala.collection.immutable.$colon$colon)
> - object (class scala.collection.immutable.$colon$colon,
> List(org.apache.spark.OneToOneDependency@7793b55d))
> - field (class: org.apache.spark.rdd.RDD, name:
> org$apache$spark$rdd$RDD$$dependencies_, type: interface scala.collection.Seq)
> - object (class org.apache.spark.rdd.MapPartitionsRDD,
> MapPartitionsRDD[7] at collect at main.scala:63)
> - field (class: org.apache.spark.rdd.RDD$$anonfun$collect$1, name:
> $outer, type: class org.apache.spark.rdd.RDD)
> - object (class org.apache.spark.rdd.RDD$$anonfun$collect$1,
> <function0>)
> - field (class:
> org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12, name: $outer, type:
> class org.apache.spark.rdd.RDD$$anonfun$collect$1)
> - object (class
> org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12, <function1>)
> at
> org.apache.spark.serializer.SerializationDebugger$.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)
> ... 19 more
> {code}
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