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https://issues.apache.org/jira/browse/BEAM-6611?focusedWorklogId=286901&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-286901
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ASF GitHub Bot logged work on BEAM-6611:
----------------------------------------
Author: ASF GitHub Bot
Created on: 01/Aug/19 17:57
Start Date: 01/Aug/19 17:57
Worklog Time Spent: 10m
Work Description: ttanay commented on pull request #9216: [BEAM-6611]
Move limitations comment to TriggerCopyJobs
URL: https://github.com/apache/beam/pull/9216
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Issue Time Tracking
-------------------
Worklog Id: (was: 286901)
Time Spent: 10h 10m (was: 10h)
> A Python Sink for BigQuery with File Loads in Streaming
> -------------------------------------------------------
>
> Key: BEAM-6611
> URL: https://issues.apache.org/jira/browse/BEAM-6611
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Pablo Estrada
> Assignee: Tanay Tummalapalli
> Priority: Major
> Labels: gsoc, gsoc2019, mentor
> Time Spent: 10h 10m
> Remaining Estimate: 0h
>
> The Java SDK supports a bunch of methods for writing data into BigQuery,
> while the Python SDK supports the following:
> - Streaming inserts for streaming pipelines [As seen in [bigquery.py and
> BigQueryWriteFn|https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L649-L813]]
> - File loads for batch pipelines [As implemented in [PR
> 7655|https://github.com/apache/beam/pull/7655]]
> Qucik and dirty early design doc: https://s.apache.org/beam-bqfl-py-streaming
> The Java SDK also supports File Loads for Streaming pipelines [see BatchLoads
> application|https://github.com/apache/beam/blob/master/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java#L1709-L1776].
> File loads have the advantage of being much cheaper than streaming inserts
> (although they also are slower for the records to show up in the table).
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