[PARQUET-632] Parquet file in invalid state while writing to S3 from EMR

• Type: Bug
• Status: Open
• Priority: Blocker
• Resolution: Unresolved
• Affects Version/s: 1.7.0
• Assignee: Unassigned
• Reporter: Peter Halliday
• Created: 13/Jun/16 15:40
• Updated: 15/Nov/22 11:34

Description

I'm writing parquet to S3 from Spark 1.6.1 on EMR. And when it got to the last few files to write to S3, I received this stacktrace in the log with no other errors before or after it. It's very consistent. This particular batch keeps erroring the same way.

2016-06-10 01:46:05,282] WARN org.apache.spark.scheduler.TaskSetManager [task-result-getter-2hread] - Lost task 3737.0 in stage 2.0 (TID 10585, ip-172-16-96-32.ec2.internal): org.apache.spark.SparkException: Task failed while writing rows.
	at org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:414)
	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$3.apply(InsertIntoHadoopFsRelation.scala:150)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
	at org.apache.spark.scheduler.Task.run(Task.scala:89)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: The file being written is in an invalid state. Probably caused by an error thrown previously. Current state: COLUMN
	at org.apache.parquet.hadoop.ParquetFileWriter$STATE.error(ParquetFileWriter.java:146)
	at org.apache.parquet.hadoop.ParquetFileWriter$STATE.startBlock(ParquetFileWriter.java:138)
	at org.apache.parquet.hadoop.ParquetFileWriter.startBlock(ParquetFileWriter.java:195)
	at org.apache.parquet.hadoop.InternalParquetRecordWriter.flushRowGroupToStore(InternalParquetRecordWriter.java:153)
	at org.apache.parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:113)
	at org.apache.parquet.hadoop.ParquetRecordWriter.close(ParquetRecordWriter.java:112)
	at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.close(ParquetRelation.scala:101)
	at org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:405)
	... 8 more