[jira] [Work logged] (BEAM-6612) PerformanceRegression in QueueingBeamFnDataClient

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-6612?focusedWorklogId=206580&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-206580 ]

ASF GitHub Bot logged work on BEAM-6612:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 01/Mar/19 18:35
            Start Date: 01/Mar/19 18:35
    Worklog Time Spent: 10m 
      Work Description: ajamato commented on pull request #7764: [Do Not Merge] [BEAM-6612] Modify QueueingBeamFnDataClient to become MetricsBeamFnDataClient and make all processElement() calls occur in parallel again.
URL: https://github.com/apache/beam/pull/7764
 
 
   
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 206580)
    Time Spent: 1h 10m  (was: 1h)

> PerformanceRegression in QueueingBeamFnDataClient
> -------------------------------------------------
>
>                 Key: BEAM-6612
>                 URL: https://issues.apache.org/jira/browse/BEAM-6612
>             Project: Beam
>          Issue Type: New Feature
>          Components: java-fn-execution
>            Reporter: Alex Amato
>            Assignee: Alex Amato
>            Priority: Major
>              Labels: triaged
>          Time Spent: 1h 10m
>  Remaining Estimate: 0h
>
> Remove QueueingBeamFnDataClient, which made process() calls all run on the same thread.
> [~lcwik] and I came up with this design thinking that it was required to process the bundle in parallel anyways, and we would have good performance. However after speaking to Ken, there is no requirement for a bundle or key to be processed in parallel. Elements are either iterables or single elements which defines the needs for processing a group of elements on the same thread.
> Simply performing this change will lead to the following issues:
> (1) MetricsContainerImpl and MetricsContainer are not thread safe, so when the process() functions enter the metric container context, they will be accessing an thread-unsafe collection in parallel
> (2) An ExecutionStateTracker will be needed in every thread, So we will need to
> create an instance and activate it in every GrpC thread which receives a new element.
> (Will this get sampled properly, since the trackers will be short lived).
> (3) The SimpleExecutionStates being used will need to be thread safe as well? I don't think so, because I don't think that the ExecutionStateSampler invokes them in parallel.
>  



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