Uploaded image for project: 'Hadoop Distributed Data Store'
  1. Hadoop Distributed Data Store
  2. HDDS-1783

Latency metric for applyTransaction in ContainerStateMachine

    XMLWordPrintableJSON

    Details

      Description

      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.

        Attachments

          Issue Links

            Activity

              People

              • Assignee:
                avijayan Aravindan Vijayan
                Reporter:
                sdeka Supratim Deka
              • Votes:
                0 Vote for this issue
                Watchers:
                2 Start watching this issue

                Dates

                • Created:
                  Updated:
                  Resolved:

                  Time Tracking

                  Estimated:
                  Original Estimate - Not Specified
                  Not Specified
                  Remaining:
                  Remaining Estimate - 0h
                  0h
                  Logged:
                  Time Spent - 4h 20m
                  4h 20m