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https://issues.apache.org/jira/browse/HIVE-13061?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17180706#comment-17180706
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Dinesh S. Atreya commented on HIVE-13061:
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Now Hadoop Distributed Data Store is an active effort, starting with _Hadoop
Distributed Storage Layer (HDSL)_ HDFS-7240, *Ozone File System* (aka Hadoop
Distributed Data Store) HDFS-13074 after formally being named with *Ozone:
Rename HDSL to HDDS* HDFS-13405.
Ozone is built on a highly available, replicated block storage layer called
Hadoop Distributed Data Store (HDDS) and is S3 compatible. Ozone can function
effectively in containerized environments such as _*Kubernetes*_ and _*YARN*_.
Ozone supports different protocols like S3 and Hadoop File System APIs.
Work on this JIRA and related JIRAs are using HDDS/Ozone as a base given HDFS
enhancements to work on top of HDDS.
> Advance Hadoop Architecture (AHA) - Advance Hive (Umbrella) JIRA -- Enhanced
> Updates & others
> ---------------------------------------------------------------------------------------------
>
> Key: HIVE-13061
> URL: https://issues.apache.org/jira/browse/HIVE-13061
> Project: Hive
> Issue Type: New Feature
> Reporter: Dinesh S. Atreya
> Priority: Major
>
> Link to Umbrella JIRA https://issues.apache.org/jira/browse/HADOOP-12620
> See
> https://issues.apache.org/jira/browse/HADOOP-12620?focusedCommentId=15046300&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-15046300
> for more details.
> This JIRA is an umbrella (parent/master) JIRA for advancing Hive through
> native Hive update capability given
> https://issues.apache.org/jira/browse/HDFS-9607 and
> https://issues.apache.org/jira/browse/ORC-42.
> Provide seamless and streamlined enhancements to Hive capabilities that are
> currently implemented through https://issues.apache.org/jira/browse/HIVE-5317
> and other related JIRAs.
> Serve as a counterpart Umbrella JIRA to ORC JIRA
> https://issues.apache.org/jira/browse/ORC-42, so that corresponding
> capabilities can be supported through SQL interfaces in Hive.
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