Peter Halliday created PARQUET-632:
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Summary: Parquet file in invalid state while writing to S3 from EMR
Key: PARQUET-632
URL: https://issues.apache.org/jira/browse/PARQUET-632
Project: Parquet
Issue Type: Bug
Affects Versions: 1.7.0
Reporter: Peter Halliday
Priority: Blocker
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.
{noformat}
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
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