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https://issues.apache.org/jira/browse/APEXCORE-474?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandesh updated APEXCORE-474:
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Description:
During M*1 deployment, unifier was deployed in the separate container. But
there is no advantage in doing that.
It is better to make the unifier THREAD_LOCAL with the downstream operator.
( https://issues.apache.org/jira/browse/APEXCORE-482 )
Note:
Recently saw one Kafka ETL app, that had a total of 18 containers allocated,
but out of that 5 containers were allocated for default unifiers. It also means
lots of time is spent in SerDe.
Implementing this feature will improve the performance greatly.
was:
During M*1 deployment, unifier was deployed in the separate container. But
there is no advantage in doing that.
It is better to make the unifier THREAD_LOCAL with the downstream operator.
( https://issues.apache.org/jira/browse/APEXCORE-482 )
Note:
Recently saw one Kafka ETL app, that had a total of 18 containers allocated,
but out of that 5 containers were allocated for default unifiers. It also means
lots of time is also spent in SerDe.
Implementing this feature will improve the performance greatly.
> Default unifier placement during M*1 deployment
> -----------------------------------------------
>
> Key: APEXCORE-474
> URL: https://issues.apache.org/jira/browse/APEXCORE-474
> Project: Apache Apex Core
> Issue Type: Improvement
> Reporter: Sandesh
>
> During M*1 deployment, unifier was deployed in the separate container. But
> there is no advantage in doing that.
> It is better to make the unifier THREAD_LOCAL with the downstream operator.
> ( https://issues.apache.org/jira/browse/APEXCORE-482 )
> Note:
> Recently saw one Kafka ETL app, that had a total of 18 containers allocated,
> but out of that 5 containers were allocated for default unifiers. It also
> means lots of time is spent in SerDe.
> Implementing this feature will improve the performance greatly.
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