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https://issues.apache.org/jira/browse/PARQUET-1632?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Junjie Chen reassigned PARQUET-1632:
------------------------------------
Assignee: Junjie Chen
> Negative initial size when writing large values in parquet-mr
> -------------------------------------------------------------
>
> Key: PARQUET-1632
> URL: https://issues.apache.org/jira/browse/PARQUET-1632
> Project: Parquet
> Issue Type: Bug
> Components: parquet-mr
> Affects Versions: 1.10.1
> Reporter: Ivan Sadikov
> Assignee: Junjie Chen
> Priority: Major
>
> I encountered an issue when writing large string values to Parquet.
> Here is the code to reproduce the issue:
> {code: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"){code}
>
> This Spark job fails with the exception:
> {code: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.<init>(ByteArrayOutputStream.java:74) at
> org.apache.parquet.bytes.BytesInput$BAOS.<init>(BytesInput.java:234) at
> org.apache.parquet.bytes.BytesInput$BAOS.<init>(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{code}
>
> Would appreciate if you could help addressing the problem. Thanks!
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