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https://issues.apache.org/jira/browse/BEAM-6611?focusedWorklogId=277828&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-277828
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ASF GitHub Bot logged work on BEAM-6611:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 16/Jul/19 23:01
            Start Date: 16/Jul/19 23:01
    Worklog Time Spent: 10m 
      Work Description: ttanay commented on issue #8871: [BEAM-6611] BigQuery 
file loads in Streaming for Python SDK
URL: https://github.com/apache/beam/pull/8871#issuecomment-512034537
 
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 277828)
    Time Spent: 3h 50m  (was: 3h 40m)

> A Python Sink for BigQuery with File Loads in Streaming
> -------------------------------------------------------
>
>                 Key: BEAM-6611
>                 URL: https://issues.apache.org/jira/browse/BEAM-6611
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-core
>            Reporter: Pablo Estrada
>            Assignee: Tanay Tummalapalli
>            Priority: Major
>              Labels: gsoc, gsoc2019, mentor
>          Time Spent: 3h 50m
>  Remaining Estimate: 0h
>
> The Java SDK supports a bunch of methods for writing data into BigQuery, 
> while the Python SDK supports the following:
> - Streaming inserts for streaming pipelines [As seen in [bigquery.py and 
> BigQueryWriteFn|https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L649-L813]]
> - File loads for batch pipelines [As implemented in [PR 
> 7655|https://github.com/apache/beam/pull/7655]]
> Qucik and dirty early design doc: https://s.apache.org/beam-bqfl-py-streaming
> The Java SDK also supports File Loads for Streaming pipelines [see BatchLoads 
> application|https://github.com/apache/beam/blob/master/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java#L1709-L1776].
> File loads have the advantage of being much cheaper than streaming inserts 
> (although they also are slower for the records to show up in the table).



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