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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/02/26 00:05:44 UTC
[jira] [Assigned] (SPARK-19709) CSV datasource fails to read empty
file
[ https://issues.apache.org/jira/browse/SPARK-19709?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-19709:
------------------------------------
Assignee: Apache Spark
> CSV datasource fails to read empty file
> ---------------------------------------
>
> Key: SPARK-19709
> URL: https://issues.apache.org/jira/browse/SPARK-19709
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Hyukjin Kwon
> Assignee: Apache Spark
> Priority: Minor
>
> I just {{touch a}} and then ran the codes below:
> {code}
> scala> spark.read.csv("a")
> java.util.NoSuchElementException: next on empty iterator
> at scala.collection.Iterator$$anon$2.next(Iterator.scala:39)
> at scala.collection.Iterator$$anon$2.next(Iterator.scala:37)
> at scala.collection.IndexedSeqLike$Elements.next(IndexedSeqLike.
> {code}
> It seems we should produce an empty dataframe consistently with `spark.read.json("a")`.
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