Steve Loughran commented on BAHIR-67:

oh, I don't dispute its merits; I'm just wondering about where it goes.

webhdfs is implemented in hadoop-hdfs; all the JARs for it should be there in 
spark builds, making it more a matter of testing functionality (and implicitly, 
classpath setup). You shouldn't need any more JARs than there are today

> WebHDFS Data Source for Spark SQL
> ---------------------------------
>                 Key: BAHIR-67
>                 URL: https://issues.apache.org/jira/browse/BAHIR-67
>             Project: Bahir
>          Issue Type: Improvement
>          Components: Spark SQL Data Sources
>            Reporter: Sourav Mazumder
>   Original Estimate: 336h
>  Remaining Estimate: 336h
> Ability to read/write data in Spark from/to HDFS of a remote Hadoop Cluster
> In today's world of Analytics many use cases need capability to access data 
> from multiple remote data sources in Spark. Though Spark has great 
> integration with local Hadoop cluster it lacks heavily on capability for 
> connecting to a remote Hadoop cluster. However, in reality not all data of 
> enterprises in Hadoop and running Spark Cluster locally with Hadoop Cluster 
> is not always a solution.
> In this improvement we propose to create a connector for accessing data (read 
> and write) from/to HDFS of a remote Hadoop cluster from Spark using webhdfs 
> api.

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