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https://issues.apache.org/jira/browse/GOBBLIN-1806?focusedWorklogId=856495&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-856495
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ASF GitHub Bot logged work on GOBBLIN-1806:
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                Author: ASF GitHub Bot
            Created on: 12/Apr/23 16:32
            Start Date: 12/Apr/23 16:32
    Worklog Time Spent: 10m 
      Work Description: phet commented on PR #3667:
URL: https://github.com/apache/gobblin/pull/3667#issuecomment-1505582228

   > Oh, I meant that I'll aggregate on the task level but let the client 
handle aggregation on the dataset level, since it is rare to have a single 
pipeline manage say tens of thousands of datasets.
   
   yes, I agree, but think of it less ITO efficiency and how many ops when 
performing aggregation, than of convenience: even if there are only 5, it still 
requires a piece of code to total them per-event, within every downstream 
analysis considering the job-level total.  I believe this to be most analyses...
   
   so although I generally recommend against de-normalized data structures, I 
see the ready-to-use convenience out weighing the design principle.  consider 
the simple problem of counting by user, who's copying > 1TB in a job.  it's 
trivially simple to filter by bytes... but only so long with a job-level sum.  
if the event has only task-level aggregation, the friction increases 
considerably, whether in SQL or kusto.




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

    Worklog Id:     (was: 856495)
    Time Spent: 3h  (was: 2h 50m)

> Create a GTE for recording bytes/records written for each dataset in a 
> Gobblin job
> ----------------------------------------------------------------------------------
>
>                 Key: GOBBLIN-1806
>                 URL: https://issues.apache.org/jira/browse/GOBBLIN-1806
>             Project: Apache Gobblin
>          Issue Type: Improvement
>          Components: gobblin-core
>            Reporter: William Lo
>            Assignee: Abhishek Tiwari
>            Priority: Major
>          Time Spent: 3h
>  Remaining Estimate: 0h
>
> Gobblin collects a lot of writer metrics on number of bytes and records 
> written to the sinks, but does not emit these metrics as part of a 
> GobblinTrackingEvent.
> We want to emit these in a GobblinTrackingEvent so that it can be ingested by 
> montioring systems and GaaS.



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