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https://issues.apache.org/jira/browse/HADOOP-12666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vishwajeet Dusane updated HADOOP-12666:
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Attachment: HADOOP-12666-010.patch
- Removed Asynchronous append operation.
- For version tracking, added usage of Hadoop {{VersionInfo}}.
- Reduced buffer caching size from 16MB to 8 MB. Observed during few HBase runs
like snapshot creation. Aggressive buffering does not help due to random
positional reads in the file.
- Removed {{LOG_VERSION}} usage since telemetry is not part of this patch set
anyway,
- Added a check for stream closed status for {{BatchAppendOutputStream}}.
> 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-12666-1.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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