Parquet file in invalid state while writing to S3 from EMR

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
```

**Reporter**: [Peter Halliday](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=hoangelos)

_{**Note**: *This issue was originally created as [PARQUET-632](https://issues.apache.org/jira/browse/PARQUET-632). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}

Beginne mit den in der Stacktrace genannten Pfaden von ParquetFileWriter.java, InternalParquetRecordWriter.java und Spark's WriterContainer.scala. Reproduziere das Schreiben von Parquet-Dateien nach S3 durch Spark 1.6.1-on-EMR und verfolge den früheren Fehler zurück, der den Writer im Zustand COLUMN belässt; abgeschlossen ist die Untersuchung, wenn eine reproduzierbare Ursache und entweder eine verifizierte Behebung oder eine präzise Diagnose vorliegen.

Vom Indexierungsmodell aus dem Issue-Text verfasst.