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https://issues.apache.org/jira/browse/BAHIR-67?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15582750#comment-15582750
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Steve Loughran commented on BAHIR-67:
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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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