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https://issues.apache.org/jira/browse/HDDS-1783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16922519#comment-16922519
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Hudson commented on HDDS-1783:
------------------------------

FAILURE: Integrated in Jenkins build Hadoop-trunk-Commit #17223 (See 
[https://builds.apache.org/job/Hadoop-trunk-Commit/17223/])
HDDS-1783 : Latency metric for applyTransaction in ContainerStateMachine 
(31469764+bshashikant: rev b53d19a343e110dbcf0ec710e9d491ec6bd77a51)
* (edit) 
hadoop-ozone/integration-test/src/test/java/org/apache/hadoop/ozone/container/common/transport/server/ratis/TestCSMMetrics.java
* (edit) 
hadoop-hdds/container-service/src/main/java/org/apache/hadoop/ozone/container/common/transport/server/ratis/ContainerStateMachine.java
* (edit) hadoop-ozone/dist/src/main/compose/ozonesecure-mr/docker-config
* (edit) 
hadoop-hdds/container-service/src/main/java/org/apache/hadoop/ozone/container/common/transport/server/ratis/CSMMetrics.java


> Latency metric for applyTransaction in ContainerStateMachine
> ------------------------------------------------------------
>
>                 Key: HDDS-1783
>                 URL: https://issues.apache.org/jira/browse/HDDS-1783
>             Project: Hadoop Distributed Data Store
>          Issue Type: Improvement
>          Components: Ozone Datanode
>            Reporter: Supratim Deka
>            Assignee: Aravindan Vijayan
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.5.0
>
>          Time Spent: 4h 20m
>  Remaining Estimate: 0h
>
> applyTransaction is invoked from the Ratis pipeline and the 
> ContainerStateMachine
> uses a async executor to complete the task.
>  
> We require a latency metric to track the performance of log apply operations 
> in the state machine. This will measure the end-to-end latency of apply which 
> includes the queueing delay in the executor queues. Combined with the latency 
> measurement in HddsDispatcher, this will be an indicator if the executors are 
> overloaded.



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