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https://issues.apache.org/jira/browse/HADOOP-12666?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15325023#comment-15325023
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Chris Douglas commented on HADOOP-12666:
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bq. FS contract tests should not have been postponed until after this went in.
They weren't. I'm not sure why HADOOP-12875 wasn't committed with this JIRA,
because committing this iteration of the contract tests was the whole point.
Tests were
[moved|https://issues.apache.org/jira/browse/HADOOP-12666?focusedCommentId=15182908&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-15182908]
to a separate JIRA to ease review, since the first patch was so large.
bq. Speaking of which: seek() is broken. I'll leave it to the reader to guess
why.
No, Steve. If you want to review the patch, then review it. A half dozen other
reviewers have reached consensus on a path forward after months of iterations.
> 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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