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https://issues.apache.org/jira/browse/BEAM-10917?focusedWorklogId=657569&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-657569
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ASF GitHub Bot logged work on BEAM-10917:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 29/Sep/21 21:31
Start Date: 29/Sep/21 21:31
Worklog Time Spent: 10m
Work Description: satybald commented on a change in pull request #15602:
URL: https://github.com/apache/beam/pull/15602#discussion_r718900156
##########
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:
nit: I believe this api are known as "BigQuery Storage Read API". Would
it be better to specify method as `STORAGE_API_READ` or something similar not
to confuse the user?
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Issue Time Tracking
-------------------
Worklog Id: (was: 657569)
Time Spent: 31h 50m (was: 31h 40m)
> 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: Kanthi Subramanian
> Priority: P3
> Time Spent: 31h 50m
> 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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