Negative initial size when writing large values in parquet-mr

I encountered an issue when writing large string values to Parquet.

Here is the code to reproduce the issue:
```java

import org.apache.spark.sql.functions._

def longString: String = "a" * (64 * 1024 * 1024)
val long_string = udf(() => longString)

val df = spark.range(0, 40, 1, 1).withColumn("large_str", long_string())

spark.conf.set("parquet.enable.dictionary", "false")
df.write.option("compression", "uncompressed").mode("overwrite").parquet("/tmp/large.parquet")
```
 

This Spark job fails with the exception:
```java

Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 10861.0 failed 4 times, most recent failure: Lost task 0.3 in stage 10861.0 (TID 671168, 10.0.180.13, executor 14656): org.apache.spark.SparkException: Task failed while writing rows. at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:257) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:170) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.doRunTask(Task.scala:139) at org.apache.spark.scheduler.Task.run(Task.scala:112) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:497) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1526) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:503) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)

Caused by: java.lang.IllegalArgumentException: Negative initial size: -1610612543 at java.io.ByteArrayOutputStream.(ByteArrayOutputStream.java:74) at org.apache.parquet.bytes.BytesInput$BAOS.(BytesInput.java:234) at org.apache.parquet.bytes.BytesInput$BAOS.(BytesInput.java:232) at org.apache.parquet.bytes.BytesInput.toByteArray(BytesInput.java:202) at org.apache.parquet.bytes.ConcatenatingByteArrayCollector.collect(ConcatenatingByteArrayCollector.java:33) at org.apache.parquet.hadoop.ColumnChunkPageWriteStore$ColumnChunkPageWriter.writePage(ColumnChunkPageWriteStore.java:126) at org.apache.parquet.column.impl.ColumnWriterV1.writePage(ColumnWriterV1.java:147) at org.apache.parquet.column.impl.ColumnWriterV1.flush(ColumnWriterV1.java:235) at org.apache.parquet.column.impl.ColumnWriteStoreV1.flush(ColumnWriteStoreV1.java:122) at org.apache.parquet.hadoop.InternalParquetRecordWriter.flushRowGroupToStore(InternalParquetRecordWriter.java:172) at org.apache.parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:114) at org.apache.parquet.hadoop.ParquetRecordWriter.close(ParquetRecordWriter.java:165) at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.close(ParquetOutputWriter.scala:42) at org.apache.spark.sql.execution.datasources.FileFormatDataWriter.releaseResources(FileFormatDataWriter.scala:57) at org.apache.spark.sql.execution.datasources.FileFormatDataWriter.commit(FileFormatDataWriter.scala:74) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:247) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:242) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1560) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:248) ... 11 more
```
 

Would appreciate if you could help addressing the problem. Thanks!

**Reporter**: [Ivan Sadikov](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=sadikovi) / @sadikovi
**Assignee**: [Junjie Chen](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=junjie) / @chenjunjiedada

_{**Note**: *This issue was originally created as [PARQUET-1632](https://issues.apache.org/jira/browse/PARQUET-1632). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}

Commencez par le chemin de la trace de la pile à travers BytesInput, ConcatenatingByteArrayCollector, ColumnChunkPageWriteStore et ColumnWriterV1. Exécutez la reproduction Spark fournie avec de grandes valeurs de chaîne et examinez le comportement d’écriture des pages parquet. Le travail est terminé lorsque la reproduction n’échoue plus avec une taille négative de ByteArrayOutputStream et qu’une couverture de régression existe pour ce cas.

Rédigé par le modèle d'indexation à partir du texte de l'issue.