[jira] [Resolved] (SPARK-19709) CSV datasource fails to read empty file

["Wenchen Fan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-19709?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-19709.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0

Issue resolved by pull request 17068
[https://github.com/apache/spark/pull/17068]

> 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
>            Priority: Minor
>             Fix For: 2.2.0
>
>
> 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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