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From "Aaron Fabbri (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-12666) Support Microsoft Azure Data Lake - as a file system in Hadoop
Date Fri, 10 Jun 2016 17:43:21 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-12666?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15324933#comment-15324933
] 

Aaron Fabbri commented on HADOOP-12666:
---------------------------------------

I meant the opposite.. I was open to the "subclass webhdfs client" approach landing in branch-2
but not trunk, as that gives the broken code a limited lifetime.  That said, I never arrived
at +1 on this patch (as mentioned, it is a large change, time consuming to review, with issues
remaining)


> Support Microsoft Azure Data Lake - as a file system in Hadoop
> --------------------------------------------------------------
>
>                 Key: HADOOP-12666
>                 URL: https://issues.apache.org/jira/browse/HADOOP-12666
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: fs, fs/azure, tools
>            Reporter: Vishwajeet Dusane
>            Assignee: Vishwajeet Dusane
>             Fix For: 3.0.0-alpha1
>
>         Attachments: Create_Read_Hadoop_Adl_Store_Semantics.pdf, HADOOP-12666-002.patch,
HADOOP-12666-003.patch, HADOOP-12666-004.patch, HADOOP-12666-005.patch, HADOOP-12666-006.patch,
HADOOP-12666-007.patch, HADOOP-12666-008.patch, HADOOP-12666-009.patch, HADOOP-12666-010.patch,
HADOOP-12666-011.patch, HADOOP-12666-012.patch, HADOOP-12666-013.patch, HADOOP-12666-014.patch,
HADOOP-12666-015.patch, HADOOP-12666-016.patch, HADOOP-12666-1.patch
>
>   Original Estimate: 336h
>          Time Spent: 336h
>  Remaining Estimate: 0h
>
> h2. Description
> This JIRA describes a new file system implementation for accessing Microsoft Azure Data
Lake Store (ADL) from within Hadoop. This would enable existing Hadoop applications such has
MR, HIVE, Hbase etc..,  to use ADL store as input or output.
>  
> ADL is ultra-high capacity, Optimized for massive throughput with rich management and
security features. More details available at https://azure.microsoft.com/en-us/services/data-lake-store/



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