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https://issues.apache.org/jira/browse/BAHIR-67?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15676999#comment-15676999
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Sourav Mazumder commented on BAHIR-67:
--------------------------------------

Hi Steve,

Few followup Qs to get more clarity on your comment -

1. Are you suggesting use of the hadoop-hdfs/hadoop-hdfs-client jar so that
we can use apis as "webhdfs://<HOST>:<HTTP_PORT>/<PATH>" instead of "http://
<HOST>:<HTTP_PORT>/webhdfs/v1/<PATH>?op=..." ? (I'm referring the section
FileSystem URIs vs HTTP URLs in
https://hadoop.apache.org/docs/r2.7.2/hadoop-project-dist/hadoop-hdfs/WebHDFS.html#FileSystem_URIs_vs_HTTP_URLs)
?

2. Are you suggesting to use this in the main code or in integration test
code ?

Regards,
Sourav





On Fri, Nov 18, 2016 at 6:34 AM, Steve Loughran (JIRA) <[email protected]>



> WebHDFS Data Source for Spark SQL
> ---------------------------------
>
>                 Key: BAHIR-67
>                 URL: https://issues.apache.org/jira/browse/BAHIR-67
>             Project: Bahir
>          Issue Type: New Feature
>          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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