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https://issues.apache.org/jira/browse/BEAM-10917?focusedWorklogId=658619&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-658619
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ASF GitHub Bot logged work on BEAM-10917:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Sep/21 21:06
Start Date: 30/Sep/21 21:06
Worklog Time Spent: 10m
Work Description: kmjung commented on a change in pull request #15602:
URL: https://github.com/apache/beam/pull/15602#discussion_r719768878
##########
File path: sdks/python/apache_beam/io/gcp/bigquery.py
##########
@@ -1914,11 +2310,30 @@ class ReadFromBigQuery(PTransform):
to create and delete tables within the given dataset. Dataset name
should *not* start with the reserved prefix `beam_temp_dataset_`.
"""
+ class Method(object):
+ EXPORT = 'EXPORT' # This is currently the default.
+ DIRECT_READ = 'DIRECT_READ'
Review comment:
I'm not sure that I have a sense of what Beam values here (consistency
across languages vs. consistency with external naming). I guess my slight
preference would be for the former, which would mean carrying over the
`DIRECT_READ` name. @satybald @pabloem @chamikaramj what do you think?
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Issue Time Tracking
-------------------
Worklog Id: (was: 658619)
Time Spent: 33.5h (was: 33h 20m)
> Implement a BigQuery bounded source using the BigQuery storage API
> ------------------------------------------------------------------
>
> Key: BEAM-10917
> URL: https://issues.apache.org/jira/browse/BEAM-10917
> Project: Beam
> Issue Type: New Feature
> Components: io-py-gcp
> Reporter: Kenneth Jung
> Assignee: Vachan Shetty
> Priority: P3
> Time Spent: 33.5h
> Remaining Estimate: 0h
>
> The Java SDK contains a bounded source implementation which uses the BigQuery
> storage API to read from BigQuery. We should implement the same for Python.
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