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https://issues.apache.org/jira/browse/BEAM-2879?focusedWorklogId=318608&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-318608
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ASF GitHub Bot logged work on BEAM-2879:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 25/Sep/19 21:18
            Start Date: 25/Sep/19 21:18
    Worklog Time Spent: 10m 
      Work Description: steveniemitz commented on pull request #9665: 
[BEAM-2879] Support writing data to BigQuery via avro
URL: https://github.com/apache/beam/pull/9665
 
 
   This change enhances BigQueryIO.Write to support writing avro files rather 
than json when using FILE_LOADS (STREAMING_INSERTS is unchanged).
   
   This is semi-WIP, but I wanted to get the review up sooner to get feedback.
   
   TODO:
   - more documentation in BigQueryIO
   - unit tests
   
   ### Benchmarks
   
   Preliminary results look good.  The more CPU constrained a job is, the 
faster avro becomes.
   
   My test dataset is a typical workload of ours, around 2 billion records 
(~130 GB serialized) representing the result of a combine.  My tests read these 
records from GCS and wrote them to BigQuery.  The jobs were run in dataflow 
with 150 x n1-standard-2 workers.
   
   format | time to start load job | bytes written | BQ slot time (ms)
   -------|----------------------|--------------|-------------
   avro    |  6 m 30 s                     | 126 GB          | 35,189,679
   json    |  8 m 5 s                        |  712 GB         | 96,006,088
   
   ------------------------
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 318608)
    Remaining Estimate: 0h
            Time Spent: 10m

> Implement and use an Avro coder rather than the JSON one for intermediary 
> files to be loaded in BigQuery
> --------------------------------------------------------------------------------------------------------
>
>                 Key: BEAM-2879
>                 URL: https://issues.apache.org/jira/browse/BEAM-2879
>             Project: Beam
>          Issue Type: Improvement
>          Components: io-java-gcp
>            Reporter: Black Phoenix
>            Assignee: Steve Niemitz
>            Priority: Minor
>              Labels: starter
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Before being loaded in BigQuery, temporary files are created and encoded in 
> JSON. Which is a costly solution compared to an Avro alternative 



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