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https://issues.apache.org/jira/browse/SPARK-24798?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16546175#comment-16546175
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mahmoud mehdi commented on SPARK-24798:
---------------------------------------
[~sypark212] It's my pleasure
> sortWithinPartitions(xx) will failed in java.lang.NullPointerException
> ----------------------------------------------------------------------
>
> Key: SPARK-24798
> URL: https://issues.apache.org/jira/browse/SPARK-24798
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.3.0
> Reporter: shengyao piao
> Priority: Minor
>
> I have some issue in Spark 2.3 when I run bellow code in spark-shell or
> spark-submit
> I already figured out the reason of error is the name field contains
> Some(null),
> But I believe this code will run successfully in Spark 2.2
> Is it an expected behavior in Spark 2.3 ?
>
> ・Spark code
> {code}
> case class Hoge (id : Int,name : Option[String])
> val ds =
> spark.createDataFrame(Array((1,"John"),(2,null))).withColumnRenamed("_1",
> "id").withColumnRenamed("_2", "name").map(row =>
> Hoge(row.getAs[Int]("id"),Some(row.getAs[String]("name"))))
>
> ds.sortWithinPartitions("id").foreachPartition(iter => println(iter.isEmpty))
> {code}
> ・Error
> {code}
> java.lang.NullPointerException
> at
> org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter.write(UnsafeRowWriter.java:194)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.serializefromobject_doConsume$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.mapelements_doConsume$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.deserializetoobject_doConsume$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.sort_addToSorter$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at scala.collection.Iterator$class.isEmpty(Iterator.scala:330)
> at scala.collection.AbstractIterator.isEmpty(Iterator.scala:1336)
> at
> $line37.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$1.apply(<console>:26)
> at
> $line37.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$1.apply(<console>:26)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:929)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:929)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2067)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2067)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:109)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
> 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)
> {code}
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