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https://issues.apache.org/jira/browse/BEAM-6928?focusedWorklogId=463076&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-463076
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ASF GitHub Bot logged work on BEAM-6928:
----------------------------------------
Author: ASF GitHub Bot
Created on: 24/Jul/20 18:03
Start Date: 24/Jul/20 18:03
Worklog Time Spent: 10m
Work Description: pabloem commented on a change in pull request #12203:
URL: https://github.com/apache/beam/pull/12203#discussion_r460207818
##########
File path: CHANGES.md
##########
@@ -55,6 +55,9 @@
* New overloads for BigtableIO.Read.withKeyRange() and
BigtableIO.Read.withRowFilter()
methods that take ValueProvider as a parameter (Java)
([BEAM-10283](https://issues.apache.org/jira/browse/BEAM-10283)).
+* The WriteToBigQuery transform (Python) in Dataflow Batch no longer relies on
BigQuerySource by default. It relies on
Review comment:
Ah yes, done.
##########
File path: sdks/python/apache_beam/io/gcp/big_query_query_to_table_it_test.py
##########
@@ -227,6 +225,7 @@ def test_big_query_standard_sql_kms_key_native(self):
'on_success_matcher': all_of(*pipeline_verifiers),
'kms_key': kms_key,
'native': True,
+ 'experiments': 'use_dataflow_bq_sink',
Review comment:
I'm trying to preserve the same test coverage after the change, and
remove BQSink tests later on. Would htis be fine?
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Issue Time Tracking
-------------------
Worklog Id: (was: 463076)
Time Spent: 0.5h (was: 20m)
> Make Python SDK custom Sink the default Sink for BigQuery
> ---------------------------------------------------------
>
> Key: BEAM-6928
> URL: https://issues.apache.org/jira/browse/BEAM-6928
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Pablo Estrada
> Priority: P2
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> This is for 2.14.0 - please bump version to 2.14.0 when doing 2.13.0 release.
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