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Posted to dev@apex.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/11/08 13:32:58 UTC
[jira] [Commented] (APEXMALHAR-2278) Implement Kudu Output Operator
for non-transactional streams
[ https://issues.apache.org/jira/browse/APEXMALHAR-2278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15647571#comment-15647571 ]
ASF GitHub Bot commented on APEXMALHAR-2278:
--------------------------------------------
GitHub user ananthc opened a pull request:
https://github.com/apache/apex-malhar/pull/486
APEXMALHAR-2278 Implement KuduNonTransactional Output Operator
@tweise / @PramodSSImmaneni : Could you please review or suggest the right person who can complete this review for me?
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ananthc/apex-malhar APEXMALHAR-2278.KuduNonTransactionalOutputOperator
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/apex-malhar/pull/486.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #486
----
commit af6944f53c86d0fb355798b9c48d0156964648c9
Author: ananthc <an...@gmail.com>
Date: 2016-11-08T13:28:28Z
APEXMALHAR-2278 Implement KuduNonTransactional Output Operator
----
> Implement Kudu Output Operator for non-transactional streams
> ------------------------------------------------------------
>
> Key: APEXMALHAR-2278
> URL: https://issues.apache.org/jira/browse/APEXMALHAR-2278
> Project: Apache Apex Malhar
> Issue Type: New Feature
> Components: adapters database
> Reporter: Ananth
> Assignee: Ananth
>
> Here are some benefits of integrating Kudu and Apex:
> Kudu is just declared 1.0 and has just been declared production ready.
> Kudu as a store might a good a fit for many architectures in the years to come because of its capabilities to provide mutability of data ( unlike HDFS ) and optimized storage formats for low latency scans.
> It seems to also withstand high-throughput write patterns which makes it a stable sink for Apex workflows which operate at very high volumes.
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