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https://issues.apache.org/jira/browse/SPARK-5387?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14366973#comment-14366973
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Chaozhong Yang commented on SPARK-5387:
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I also encountered the same issue.
> parquet writer runs into OOM during writing when number of rows is large
> ------------------------------------------------------------------------
>
> Key: SPARK-5387
> URL: https://issues.apache.org/jira/browse/SPARK-5387
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 1.1.1
> Reporter: Shirley Wu
>
> When the number of records is large in RDD, the saveAsParquet will have OOM.
> Here is the stack trace:
> 15/01/23 10:00:02 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 2,
> hdc2-s3.niara.com): java.lang.OutOfMemoryError: Java heap space
>
> parquet.bytes.CapacityByteArrayOutputStream.initSlabs(CapacityByteArrayOutputStream.java:65)
>
> parquet.bytes.CapacityByteArrayOutputStream.<init>(CapacityByteArrayOutputStream.java:57)
>
> parquet.column.values.rle.RunLengthBitPackingHybridEncoder.<init>(RunLengthBitPackingHybridEncoder.java:125)
>
> parquet.column.values.rle.RunLengthBitPackingHybridValuesWriter.<init>(RunLengthBitPackingHybridValuesWriter.java:36)
>
> parquet.column.ParquetProperties.getColumnDescriptorValuesWriter(ParquetProperties.java:61)
> parquet.column.impl.ColumnWriterImpl.<init>(ColumnWriterImpl.java:73)
>
> parquet.column.impl.ColumnWriteStoreImpl.newMemColumn(ColumnWriteStoreImpl.java:68)
>
> parquet.column.impl.ColumnWriteStoreImpl.getColumnWriter(ColumnWriteStoreImpl.java:56)
>
> parquet.io.MessageColumnIO$MessageColumnIORecordConsumer.<init>(MessageColumnIO.java:124)
> parquet.io.MessageColumnIO.getRecordWriter(MessageColumnIO.java:315)
>
> parquet.hadoop.InternalParquetRecordWriter.initStore(InternalParquetRecordWriter.java:106)
>
> parquet.hadoop.InternalParquetRecordWriter.checkBlockSizeReached(InternalParquetRecordWriter.java:126)
>
> parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:117)
> parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:81)
> parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:37)
>
> org.apache.spark.sql.parquet.InsertIntoParquetTable.org$apache$spark$sql$parquet$InsertIntoParquetTable$$writeShard$1(ParquetTableOperations.scala:303)
>
> org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
>
> org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
> org.apache.spark.scheduler.Task.run(Task.scala:54)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:180)
>
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> java.lang.Thread.run(Thread.java:745)
> It seems the writeShard() API needs to flush to disk periodically.
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