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

[Wenchen Fan (JIRA)]

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

Wenchen Fan reassigned SPARK-19709:
---

Assignee: Wojciech Szymanski

> 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: Wojciech Szymanski
>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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[jira] [Assigned] (SPARK-19709) CSV datasource fails to read empty file

[Apache Spark (JIRA)]

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

[Apache Spark (JIRA)]

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

Apache Spark reassigned SPARK-19709:


Assignee: (was: 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
>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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