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https://issues.apache.org/jira/browse/SPARK-7837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14699280#comment-14699280
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Apache Spark commented on SPARK-7837:
-------------------------------------

User 'liancheng' has created a pull request for this issue:
https://github.com/apache/spark/pull/8236

> NPE when save as parquet in speculative tasks
> ---------------------------------------------
>
>                 Key: SPARK-7837
>                 URL: https://issues.apache.org/jira/browse/SPARK-7837
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.0
>            Reporter: Yin Huai
>            Assignee: Cheng Lian
>            Priority: Critical
>
> The query is like {{df.orderBy(...).saveAsTable(...)}}.
> When there is no partitioning columns and there is a skewed key, I found the 
> following exception in speculative tasks. After these failures, seems we 
> could not call {{SparkHadoopMapRedUtil.commitTask}} correctly.
> {code}
> java.lang.NullPointerException
>       at 
> parquet.hadoop.InternalParquetRecordWriter.flushRowGroupToStore(InternalParquetRecordWriter.java:146)
>       at 
> parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:112)
>       at parquet.hadoop.ParquetRecordWriter.close(ParquetRecordWriter.java:73)
>       at 
> org.apache.spark.sql.parquet.ParquetOutputWriter.close(newParquet.scala:115)
>       at 
> org.apache.spark.sql.sources.DefaultWriterContainer.abortTask(commands.scala:385)
>       at 
> org.apache.spark.sql.sources.InsertIntoHadoopFsRelation.org$apache$spark$sql$sources$InsertIntoHadoopFsRelation$$writeRows$1(commands.scala:150)
>       at 
> org.apache.spark.sql.sources.InsertIntoHadoopFsRelation$$anonfun$insert$1.apply(commands.scala:122)
>       at 
> org.apache.spark.sql.sources.InsertIntoHadoopFsRelation$$anonfun$insert$1.apply(commands.scala:122)
>       at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
>       at org.apache.spark.scheduler.Task.run(Task.scala:70)
>       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
>       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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