Sorry, I provided bad information. This example worked fine with reduced parallelism.
It seems my problem have to do with something specific with the real data frame at reading point. Saif From: saif.a.ell...@wellsfargo.com [mailto:saif.a.ell...@wellsfargo.com] Sent: Tuesday, August 11, 2015 11:49 AM To: deanwamp...@gmail.com Cc: user@spark.apache.org Subject: RE: Parquet without hadoop: Possible? I am launching my spark-shell spark-1.4.1-bin-hadoop2.6/bin/spark-shell 15/08/11 09:43:32 INFO SparkILoop: Created sql context (with Hive support).. SQL context available as sqlContext. scala> val data = sc.parallelize(Array(2,3,5,7,2,3,6,1)).toDF scala> data.write.parquet("/var/ data/Saif/pq") Then I get a million errors: 15/08/11 09:46:01 INFO CodecPool: Got brand-new compressor [.gz] 15/08/11 09:46:01 INFO CodecPool: Got brand-new compressor [.gz] 15/08/11 09:46:01 INFO CodecPool: Got brand-new compressor [.gz] 15/08/11 09:46:07 ERROR InsertIntoHadoopFsRelation: Aborting task. java.lang.OutOfMemoryError: Java heap space 15/08/11 09:46:09 ERROR InsertIntoHadoopFsRelation: Aborting task. java.lang.OutOfMemoryError: Java heap space 15/08/11 09:46:08 ERROR InsertIntoHadoopFsRelation: Aborting task. java.lang.OutOfMemoryError: Java heap space 15/08/11 09:46:08 ERROR InsertIntoHadoopFsRelation: Aborting task. java.lang.OutOfMemoryError: Java heap space 15/08/11 09:46:09 ERROR InsertIntoHadoopFsRelation: Aborting task. java.lang.OutOfMemoryError: Java heap space 15/08/11 09:46:09 ERROR InsertIntoHadoopFsRelation: Aborting task. java.lang.OutOfMemoryError: Java heap space 15/08/11 09:46:08 ERROR InsertIntoHadoopFsRelation: Aborting task. java.lang.OutOfMemoryError: Java heap space 15/08/11 09:46:07 ERROR InsertIntoHadoopFsRelation: Aborting task. java.lang.OutOfMemoryError: Java heap space 15/08/11 09:46:07 ERROR InsertIntoHadoopFsRelation: Aborting task. java.lang.OutOfMemoryError: Java heap space at parquet.bytes.CapacityByteArrayOutputStream.initSlabs(CapacityByteArrayOutputStream.java:65) at parquet.bytes.CapacityByteArrayOutputStream.<init>(CapacityByteArrayOutputStream.java:57) at parquet.hadoop.ColumnChunkPageWriteStore$ColumnChunkPageWriter.<init>(ColumnChunkPageWriteStore.java:68) at parquet.hadoop.ColumnChunkPageWriteStore$ColumnChunkPageWriter.<init>(ColumnChunkPageWriteStore.java:48) at parquet.hadoop.ColumnChunkPageWriteStore.getPageWriter(ColumnChunkPageWriteStore.java:215) at parquet.column.impl.ColumnWriteStoreImpl.newMemColumn(ColumnWriteStoreImpl.java:67) at parquet.column.impl.ColumnWriteStoreImpl.getColumnWriter(ColumnWriteStoreImpl.java:56) at parquet.io.MessageColumnIO$MessageColumnIORecordConsumer.<init>(MessageColumnIO.java:178) at parquet.io.MessageColumnIO.getRecordWriter(MessageColumnIO.java:369) at parquet.hadoop.InternalParquetRecordWriter.initStore(InternalParquetRecordWriter.java:108) at parquet.hadoop.InternalParquetRecordWriter.<init>(InternalParquetRecordWriter.java:94) at parquet.hadoop.ParquetRecordWriter.<init>(ParquetRecordWriter.java:64) at parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:282) at parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:252) at org.apache.spark.sql.parquet.ParquetOutputWriter.<init>(newParquet.scala:83) at org.apache.spark.sql.parquet.ParquetRelation2$$anon$4.newInstance(newParquet.scala:229) at org.apache.spark.sql.sources.DefaultWriterContainer.initWriters(commands.scala:470) at org.apache.spark.sql.sources.BaseWriterContainer.executorSideSetup(commands.scala:360) at org.apache.spark.sql.sources.InsertIntoHadoopFsRelation.org$apache$spark$sql$sources$InsertIntoHadoopFsRelation$$writeRows$1(commands.scala:172) at org.apache.spark.sql.sources.InsertIntoHadoopFsRelation$$anonfun$insert$1.apply(commands.scala:160) at org.apache.spark.sql.sources.InsertIntoHadoopFsRelation$$anonfun$insert$1.apply(commands.scala:160) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) at org.apache.spark.scheduler.Task.run(Task.scala:70) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) 15/08/11 09:46:08 ERROR InsertIntoHadoopFsRelation: Aborting task. ... ... . 15/08/11 09:46:10 ERROR DefaultWriterContainer: Task attempt attempt_201508110946_0000_m_000011_0 aborted. 15/08/11 09:46:10 ERROR Executor: Exception in task 31.0 in stage 0.0 (TID 31) org.apache.spark.SparkException: Task failed while writing rows. at org.apache.spark.sql.sources.InsertIntoHadoopFsRelation.org$apache$spark$sql$sources$InsertIntoHadoopFsRelation$$writeRows$1(commands.scala:191) at org.apache.spark.sql.sources.InsertIntoHadoopFsRelation$$anonfun$insert$1.apply(commands.scala:160) at org.apache.spark.sql.sources.InsertIntoHadoopFsRelation$$anonfun$insert$1.apply(commands.scala:160) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) at org.apache.spark.scheduler.Task.run(Task.scala:70) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.OutOfMemoryError: Java heap space ... From: Dean Wampler [mailto:deanwamp...@gmail.com] Sent: Tuesday, August 11, 2015 11:39 AM To: Ellafi, Saif A. Cc: user@spark.apache.org<mailto:user@spark.apache.org> Subject: Re: Parquet without hadoop: Possible? It should work fine. I have an example script here: https://github.com/deanwampler/spark-workshop/blob/master/src/main/scala/sparkworkshop/SparkSQLParquet10-script.scala (Spark 1.4.X) What does "I am failing to do so" mean? Dean Wampler, Ph.D. Author: Programming Scala, 2nd Edition<http://shop.oreilly.com/product/0636920033073.do> (O'Reilly) Typesafe<http://typesafe.com> @deanwampler<http://twitter.com/deanwampler> http://polyglotprogramming.com On Tue, Aug 11, 2015 at 9:28 AM, <saif.a.ell...@wellsfargo.com<mailto:saif.a.ell...@wellsfargo.com>> wrote: Hi all, I don’t have any hadoop fs installed on my environment, but I would like to store dataframes in parquet files. I am failing to do so, if possible, anyone have any pointers? Thank you, Saif
