A NullPointerException in DictionaryValuesWriter when writing Parquet

A NullReference Exception happens when writing a large partitioned Spark dataframe to Parquet.

The job is running in AWS EMR 5.8.0 (Spark 2.1.1).

Exception:

```
17/09/05 16:40:33 ERROR Utils: Aborting task
java.lang.NullPointerException
at org.apache.parquet.it.unimi.dsi.fastutil.objects.Object2IntLinkedOpenHashMap.getInt(Object2IntLinkedOpenHashMap.java:590)
at org.apache.parquet.column.values.dictionary.DictionaryValuesWriter$PlainFixedLenArrayDictionaryValuesWriter.writeBytes(DictionaryValuesWriter.java:307)
at org.apache.parquet.column.values.fallback.FallbackValuesWriter.writeBytes(FallbackValuesWriter.java:162)
at org.apache.parquet.column.impl.ColumnWriterV1.write(ColumnWriterV1.java:201)
at org.apache.parquet.io.MessageColumnIO$MessageColumnIORecordConsumer.addBinary(MessageColumnIO.java:467)
at org.apache.spark.sql.execution.datasources.parquet.ParquetWriteSupport$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetWriteSupport$$makeWriter$10.apply(ParquetWriteSupport.scala:184)
at org.apache.spark.sql.execution.datasources.parquet.ParquetWriteSupport$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetWriteSupport$$makeWriter$10.apply(ParquetWriteSupport.scala:172)
at org.apache.spark.sql.execution.datasources.parquet.ParquetWriteSupport$$anonfun$org$apache$spark$sql$execution$datasources$parquet$ParquetWriteSupport$$writeFields$1.apply$mcV$sp(ParquetWriteSupport.scala:124)
at org.apache.spark.sql.execution.datasources.parquet.ParquetWriteSupport.org$apache$spark$sql$execution$datasources$parquet$ParquetWriteSupport$$consumeField(ParquetWriteSupport.scala:437)
at org.apache.spark.sql.execution.datasources.parquet.ParquetWriteSupport.org$apache$spark$sql$execution$datasources$parquet$ParquetWriteSupport$$writeFields(ParquetWriteSupport.scala:123)
at org.apache.spark.sql.execution.datasources.parquet.ParquetWriteSupport$$anonfun$write$1.apply$mcV$sp(ParquetWriteSupport.scala:114)
at org.apache.spark.sql.execution.datasources.parquet.ParquetWriteSupport.consumeMessage(ParquetWriteSupport.scala:425)
at org.apache.spark.sql.execution.datasources.parquet.ParquetWriteSupport.write(ParquetWriteSupport.scala:113)
at org.apache.spark.sql.execution.datasources.parquet.ParquetWriteSupport.write(ParquetWriteSupport.scala:51)
at org.apache.parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:123)
at org.apache.parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:180)
at org.apache.parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:46)
at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.write(ParquetOutputWriter.scala:40)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$DynamicPartitionWriteTask$$anonfun$execute$2.apply(FileFormatWriter.scala:465)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$DynamicPartitionWriteTask$$anonfun$execute$2.apply(FileFormatWriter.scala:440)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at org.apache.spark.sql.catalyst.util.AbstractScalaRowIterator.foreach(AbstractScalaRowIterator.scala:26)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$DynamicPartitionWriteTask.execute(FileFormatWriter.scala:440)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:258)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)}}
```

**Reporter**: [Irina Truong](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=irinatruong)

_{**Note**: *This issue was originally created as [PARQUET-1089](https://issues.apache.org/jira/browse/PARQUET-1089). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}

Comienza en parquet-column/src/main/java/org/apache/parquet/column/values/dictionary/DictionaryValuesWriter.java, especialmente en la ruta writeBytes en la ubicación del stack trace. Reproduce el fallo con un dataframe de Spark grande y particionado que escriba en Parquet con las versiones de Spark y AWS EMR indicadas, y luego rastrea la interacción con FallbackValuesWriter. La tarea estará terminada cuando se entienda y se evite la NullPointerException, y haya una prueba de regresión que cubra el caso indicado.

Escrito por el modelo de indexación a partir del texto del issue.