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https://issues.apache.org/jira/browse/BEAM-10950?focusedWorklogId=489865&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-489865
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ASF GitHub Bot logged work on BEAM-10950:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 23/Sep/20 22:00
Start Date: 23/Sep/20 22:00
Worklog Time Spent: 10m
Work Description: pabloem commented on a change in pull request #12782:
URL: https://github.com/apache/beam/pull/12782#discussion_r493919948
##########
File path: sdks/python/apache_beam/runners/dataflow/dataflow_runner_test.py
##########
@@ -323,7 +316,9 @@ def test_no_group_by_key_directly_after_bigquery(self):
options=PipelineOptions(self.default_properties)) as
p:
# pylint: disable=expression-not-assigned
p | beam.io.Read(
- beam.io.BigQuerySource('dataset.faketable')) | beam.GroupByKey()
+ beam.io.BigQuerySource(
+ 'dataset.faketable',
+ use_dataflow_native_source=True)) | beam.GroupByKey()
Review comment:
for these two tests in dataflow_runner_test, we do not have equivalents
for the custom source. This is because these failures do not occur under the
custom source:
- Custom source is acceptable in streaming because it becomes an SDF that
runs fine in streaming
- Custom source will not error out on type hints with GBK because the type
hints are not set up to fail for this sort of composite transform. I don't know
why, but we can file a bug to ensure this is re-enabled.
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Issue Time Tracking
-------------------
Worklog Id: (was: 489865)
Time Spent: 1.5h (was: 1h 20m)
> Override Dataflow-native implementation of BQSource with a Beam source
> ----------------------------------------------------------------------
>
> Key: BEAM-10950
> URL: https://issues.apache.org/jira/browse/BEAM-10950
> Project: Beam
> Issue Type: Improvement
> Components: io-py-gcp
> Reporter: Pablo Estrada
> Assignee: Pablo Estrada
> Priority: P2
> Fix For: 2.25.0
>
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
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