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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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Hyukjin Kwon resolved SPARK-23395.
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Resolution: Incomplete
> 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, bulk-closed
>
> 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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