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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/08/25 01:18:45 UTC
[jira] [Resolved] (SPARK-10190) NPE in CatalystTypeConverters when
converting null decimal value back to Scala
[ https://issues.apache.org/jira/browse/SPARK-10190?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin resolved SPARK-10190.
---------------------------------
Resolution: Fixed
Fix Version/s: 1.5.0
> NPE in CatalystTypeConverters when converting null decimal value back to Scala
> ------------------------------------------------------------------------------
>
> Key: SPARK-10190
> URL: https://issues.apache.org/jira/browse/SPARK-10190
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Josh Rosen
> Assignee: Josh Rosen
> Priority: Blocker
> Fix For: 1.5.0
>
>
> CatalystTypeConverters can throw an NPE when converting a null decimal value back to Scala:
> {code}
> 18:42:40.130 ERROR org.apache.spark.sql.execution.datasources.DefaultWriterContainer: Aborting task.
> java.lang.NullPointerException
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$DecimalConverter.toScala(CatalystTypeConverters.scala:332)
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$DecimalConverter.toScala(CatalystTypeConverters.scala:318)
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$ArrayConverter$$anonfun$toScala$1.apply(CatalystTypeConverters.scala:178)
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$ArrayConverter$$anonfun$toScala$1.apply(CatalystTypeConverters.scala:177)
> at org.apache.spark.sql.types.ArrayData.foreach(ArrayData.scala:127)
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$ArrayConverter.toScala(CatalystTypeConverters.scala:177)
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$ArrayConverter.toScalaImpl(CatalystTypeConverters.scala:185)
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$ArrayConverter.toScalaImpl(CatalystTypeConverters.scala:148)
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toScala(CatalystTypeConverters.scala:110)
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toScala(CatalystTypeConverters.scala:278)
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toScala(CatalystTypeConverters.scala:245)
> at org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToScalaConverter$2.apply(CatalystTypeConverters.scala:406)
> at org.apache.spark.sql.sources.OutputWriter.writeInternal(interfaces.scala:380)
> at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:240)
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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