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https://issues.apache.org/jira/browse/BEAM-3042?focusedWorklogId=90009&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-90009
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ASF GitHub Bot logged work on BEAM-3042:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 11/Apr/18 15:49
            Start Date: 11/Apr/18 15:49
    Worklog Time Spent: 10m 
      Work Description: pabloem commented on issue #5075: [BEAM-3042] Refactor 
of TransformIOCounters (performance, inheritance). Time counter for sideinputs.
URL: https://github.com/apache/beam/pull/5075#issuecomment-380501780
 
 
   After running 5 jobs with the sideinputs_iterable_windowed_benchmark_python 
with the changes activated in a sandbox environment, we get (all in minutes):
   
   > Runtime
   > 11.23    
   > 11.47    
   > 10.82    
   > 10.89   
   > 11.57    
   
   AVG: 11.196
   STD: 0.30037
   
   From the latest 25 runs of this benchmark, we have:
   
   AVG: 10.1248
   STD: 0.881876
   
   Seeing as this adds a significant amount of overhead, I think we'll start a 
new version for the experiment flag to test in our manageability tests. Sounds 
good Ahmet?

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 90009)
    Time Spent: 2h 10m  (was: 2h)

> Add tracking of bytes read / time spent when reading side inputs
> ----------------------------------------------------------------
>
>                 Key: BEAM-3042
>                 URL: https://issues.apache.org/jira/browse/BEAM-3042
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>            Reporter: Pablo Estrada
>            Assignee: Pablo Estrada
>            Priority: Major
>          Time Spent: 2h 10m
>  Remaining Estimate: 0h
>
> It is difficult for Dataflow users to understand how modifying a pipeline or 
> data set can affect how much inter-transform IO is used in their job. The 
> intent of this feature request is to help users understand how side inputs 
> behave when they are consumed.
> This will allow users to understand how much time and how much data their 
> pipeline uses to read/write to inter-transform IO. Users will also be able to 
> modify their pipelines and understand how their changes affect these IO 
> metrics.
> For further information, please review the internal Google doc 
> go/insights-transform-io-design-doc.



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