Josh Rosen created SPARK-10190:
----------------------------------

             Summary: 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


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}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to