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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/02/05 08:13:35 UTC
[jira] [Issue Comment Deleted] (SPARK-3365) Failure to save Lists
to Parquet
[ https://issues.apache.org/jira/browse/SPARK-3365?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-3365:
-------------------------------------
Comment: was deleted
(was: A fix for this would be helpful for ML model import/export (for DecisionTreeModel))
> Failure to save Lists to Parquet
> --------------------------------
>
> Key: SPARK-3365
> URL: https://issues.apache.org/jira/browse/SPARK-3365
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.1.0
> Reporter: Michael Armbrust
>
> Reproduction, same works if type is Seq. (props to [~chrisgrier] for finding this)
> {code}
> scala> case class Test(x: List[String])
> defined class Test
> scala> sparkContext.parallelize(Test(List()) :: Nil).saveAsParquetFile("bug")
> 23:09:51.807 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 0.0 (TID 0)
> java.lang.ArithmeticException: / by zero
> at parquet.hadoop.InternalParquetRecordWriter.initStore(InternalParquetRecordWriter.java:99)
> at parquet.hadoop.InternalParquetRecordWriter.<init>(InternalParquetRecordWriter.java:92)
> 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.InsertIntoParquetTable.org$apache$spark$sql$parquet$InsertIntoParquetTable$$writeShard$1(ParquetTableOperations.scala:300)
> at org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
> at org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:318)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
> at org.apache.spark.scheduler.Task.run(Task.scala:54)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:744)
> {code}
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