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https://issues.apache.org/jira/browse/SPARK-6465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377490#comment-14377490
]
Earthson Lu edited comment on SPARK-6465 at 3/25/15 5:25 AM:
-------------------------------------------------------------
I'm confused.
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala#L94
{code:scala}
def convertRowToScala(r: Row, schema: StructType): Row = {
// TODO: This is very slow!!!
new GenericRowWithSchema( //Why we need GenericRowWithSchema? It seems to
be the only use of GenericRowWithSchema
r.toSeq.zip(schema.fields.map(_.dataType))
.map(r_dt => convertToScala(r_dt._1, r_dt._2)).toArray, schema)
}
{code}
was (Author: earthsonlu):
I'm confused.
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala#L94
```scala
def convertRowToScala(r: Row, schema: StructType): Row = {
// TODO: This is very slow!!!
new GenericRowWithSchema( //Why we need GenericRowWithSchema? It seems to
be the only use of GenericRowWithSchema
r.toSeq.zip(schema.fields.map(_.dataType))
.map(r_dt => convertToScala(r_dt._1, r_dt._2)).toArray, schema)
}
```
> GenericRowWithSchema: KryoException: Class cannot be created (missing no-arg
> constructor):
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-6465
> URL: https://issues.apache.org/jira/browse/SPARK-6465
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.0
> Environment: Spark 1.3, YARN 2.6.0, CentOS
> Reporter: Earthson Lu
> Assignee: Michael Armbrust
> Priority: Critical
> Original Estimate: 0.5h
> Remaining Estimate: 0.5h
>
> I can not find a issue for this.
> register for GenericRowWithSchema is lost in
> org.apache.spark.sql.execution.SparkSqlSerializer.
> Is this the only thing we need to do?
> Here is the log
> {code}
> 15/03/23 16:21:00 WARN TaskSetManager: Lost task 9.0 in stage 20.0 (TID
> 31978, datanode06.site): com.esotericsoftware.kryo.KryoException: Class
> cannot be created (missing no-arg constructor):
> org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
> at com.esotericsoftware.kryo.Kryo.newInstantiator(Kryo.java:1050)
> at com.esotericsoftware.kryo.Kryo.newInstance(Kryo.java:1062)
> at
> com.esotericsoftware.kryo.serializers.FieldSerializer.create(FieldSerializer.java:228)
> at
> com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:217)
> at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:732)
> at com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:42)
> at com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:33)
> at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:732)
> at
> org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:138)
> at
> org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:133)
> at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
> at
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at
> org.apache.spark.sql.execution.joins.HashJoin$$anon$1.hasNext(HashJoin.scala:66)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at
> org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:217)
> at
> org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:722)
> {code}
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