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https://issues.apache.org/jira/browse/SPARK-23395?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-23395:
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    Target Version/s:   (was: 2.2.0, 2.2.1)

> Add an option to return an empty DataFrame from an RDD generated by a Hadoop 
> file when there are no usable paths
> ----------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-23395
>                 URL: https://issues.apache.org/jira/browse/SPARK-23395
>             Project: Spark
>          Issue Type: Improvement
>          Components: Input/Output
>    Affects Versions: 2.2.0, 2.2.1
>            Reporter: Jens Rabe
>            Priority: Minor
>              Labels: DataFrame, HadoopInputFormat, RDD
>
> When using file-based data from custom formats, Spark's ability to use 
> Hadoop's FileInputFormats is very handy. However, when the path they are 
> pointed at contains no usable data, they throw an IOException saying "No 
> input paths specified in job".
> It would be a nice feature if the DataFrame API somehow could capture this 
> and return an empty DataFrame instead of failing the job.



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