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.*}

Bắt đầu với đường đi của stack trace qua BytesInput, ConcatenatingByteArrayCollector, ColumnChunkPageWriteStore và ColumnWriterV1. Chạy bản tái hiện Spark được cung cấp với các giá trị string lớn và kiểm tra hành vi ghi trang parquet. Hoàn thành khi bản tái hiện không còn thất bại với kích thước ByteArrayOutputStream âm và có kiểm thử hồi quy cho trường hợp này.

Do mô hình lập chỉ mục viết ra từ nội dung của issue.