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https://issues.apache.org/jira/browse/BEAM-8910?focusedWorklogId=422902&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-422902
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ASF GitHub Bot logged work on BEAM-8910:
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Author: ASF GitHub Bot
Created on: 15/Apr/20 17:43
Start Date: 15/Apr/20 17:43
Worklog Time Spent: 10m
Work Description: pabloem commented on pull request #11086: [BEAM-8910]
Make custom BQ source read from Avro
URL: https://github.com/apache/beam/pull/11086#discussion_r409021058
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File path: sdks/python/apache_beam/io/gcp/bigquery.py
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@@ -609,7 +611,8 @@ def __init__(
coder=None,
use_standard_sql=False,
flatten_results=True,
- kms_key=None):
+ kms_key=None,
+ backwards_compatible_data_format=None):
Review comment:
1. Done.
2. I've called it `use_json_exports` - does that help?
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Issue Time Tracking
-------------------
Worklog Id: (was: 422902)
Time Spent: 6h 50m (was: 6h 40m)
> Use AVRO instead of JSON in BigQuery bounded source.
> ----------------------------------------------------
>
> Key: BEAM-8910
> URL: https://issues.apache.org/jira/browse/BEAM-8910
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Kamil Wasilewski
> Assignee: Pablo Estrada
> Priority: Minor
> Time Spent: 6h 50m
> Remaining Estimate: 0h
>
> The proposed BigQuery bounded source in Python SDK (see PR:
> [https://github.com/apache/beam/pull/9772)] uses a BigQuery export job to
> take a snapshot of the table and read from each produced JSON file. A
> performance improvement can be gain by switching to AVRO instead.
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