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https://issues.apache.org/jira/browse/HDDS-1783?focusedWorklogId=303062&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-303062
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ASF GitHub Bot logged work on HDDS-1783:
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Author: ASF GitHub Bot
Created on: 28/Aug/19 17:24
Start Date: 28/Aug/19 17:24
Worklog Time Spent: 10m
Work Description: bshashikant commented on issue #1363: HDDS-1783 :
Latency metric for applyTransaction in ContainerStateMach…
URL: https://github.com/apache/hadoop/pull/1363#issuecomment-525841965
Thanks @avijayanhwx . Yes, the per op applyTransaction latency metrics is
already there but we don't have writeStateMachineData latency metric which
again runs in a different executor. Can we add that as well. This can be done
as a separate jira as well.
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Issue Time Tracking
-------------------
Worklog Id: (was: 303062)
Time Spent: 2h 20m (was: 2h 10m)
> 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
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> applyTransaction is invoked from the Ratis pipeline and the
> ContainerStateMachine
> uses a async executor to complete the task.
> Â
> 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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