[jira] [Created] (SPARK-3365) Failure to save Lists to Parquet

["Michael Armbrust (JIRA)" <ji...@apache.org>]

Michael Armbrust created SPARK-3365:
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             Summary: 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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