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https://issues.apache.org/jira/browse/BEAM-11359?focusedWorklogId=609992&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-609992
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ASF GitHub Bot logged work on BEAM-11359:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 10/Jun/21 23:24
            Start Date: 10/Jun/21 23:24
    Worklog Time Spent: 10m 
      Work Description: pabloem commented on a change in pull request #14745:
URL: https://github.com/apache/beam/pull/14745#discussion_r649593016



##########
File path: sdks/python/apache_beam/io/gcp/bigquery_read_internal.py
##########
@@ -183,15 +183,16 @@ def process(self,
               element: 'ReadFromBigQueryRequest') -> Iterable[BoundedSource]:
     bq = bigquery_tools.BigQueryWrapper(
         temp_dataset_id=self._get_temp_dataset().datasetId)
-    # TODO(BEAM-11359): Clean up temp dataset at pipeline completion.
 
     if element.query is not None:
       self._setup_temporary_dataset(bq, element)
       table_reference = self._execute_query(bq, element)
+      created_temp_dataset = True

Review comment:
       I think this is not enough to be sure of whether we created the dataset. 
You may need to change `_setup_temporary_dataset`, and this: 
https://github.com/apache/beam/blob/2aed67b1fbacce923e22347400251c34a1f6ab2c/sdks/python/apache_beam/io/gcp/bigquery_tools.py#L788-L814
   
   to return something to the caller depending on whether the dataset was 
created or not.




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

    Worklog Id:     (was: 609992)
    Time Spent: 4h 50m  (was: 4h 40m)

> Clean up temporary dataset after ReadAllFromBQ executes
> -------------------------------------------------------
>
>                 Key: BEAM-11359
>                 URL: https://issues.apache.org/jira/browse/BEAM-11359
>             Project: Beam
>          Issue Type: Improvement
>          Components: io-py-gcp
>            Reporter: Pablo Estrada
>            Priority: P3
>          Time Spent: 4h 50m
>  Remaining Estimate: 0h
>
> Currently, the transform creates (or receives) a temp dataset and it does not 
> clean it up. Only one is created per pipeline, so it's not too bad, but it's 
> not ideal.



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