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https://issues.apache.org/jira/browse/BEAM-6611?focusedWorklogId=278667&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-278667
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ASF GitHub Bot logged work on BEAM-6611:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 18/Jul/19 02:36
            Start Date: 18/Jul/19 02:36
    Worklog Time Spent: 10m 
      Work Description: pabloem commented on pull request #8871: [BEAM-6611] 
BigQuery file loads in Streaming for Python SDK
URL: https://github.com/apache/beam/pull/8871#discussion_r304713800
 
 

 ##########
 File path: sdks/python/apache_beam/io/gcp/bigquery_file_loads.py
 ##########
 @@ -622,8 +653,9 @@ def expand(self, pcoll):
                 test_client=self.test_client,
                 temporary_tables=self.temp_tables,
                 additional_bq_parameters=self.additional_bq_parameters),
-            load_job_name_pcv, *self.schema_side_inputs).with_outputs(
-                TriggerLoadJobs.TEMP_TABLES, main='main')
+            load_job_name_pcv, self.is_streaming_pipeline,
 
 Review comment:
   I wonder if we should pass `is_streaming_pipeline` at pipeline construction 
(i.e. in the constructor) rather than a side input. It would allow us to show 
it as .p.ex. display data.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 278667)
    Time Spent: 4.5h  (was: 4h 20m)

> 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: 4.5h
>  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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