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From "Chris Nauroth (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HADOOP-12666) Support Microsoft Azure Data Lake - as a file system in Hadoop
Date Mon, 06 Jun 2016 22:54:21 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-12666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Chris Nauroth updated HADOOP-12666:
-----------------------------------
    Hadoop Flags: Reviewed

At this point, I am +1 for patch 016.  I completed a successful full test run integrated against
the Azure Data Lake service using the contract tests from HADOOP-12875.  The remaining Checkstyle
warning is not worthwhile to address.

[~vishwajeet.dusane], thank you for responding to the feedback here and promptly revising
the patch when requested.  Thank you also to all of the code reviewers who participated.

I plan to commit this to trunk and branch-2 later this week.

> 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
>         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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