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https://issues.apache.org/jira/browse/BEAM-5191?focusedWorklogId=271604&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-271604
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ASF GitHub Bot logged work on BEAM-5191:
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Author: ASF GitHub Bot
Created on: 03/Jul/19 12:40
Start Date: 03/Jul/19 12:40
Worklog Time Spent: 10m
Work Description: jklukas commented on issue #8945: [BEAM-5191] Support
for BigQuery clustering
URL: https://github.com/apache/beam/pull/8945#issuecomment-508076084
> LGTM from my side other than the two comments I mentioned and integration
tests passing.
Addressed those comments, integration tests passed, and now I've squashed
and rebased on master.
> FYI: I'm OOO till 7/9 so please add another reviewer if you need to get
this merged early.
I'm also OOO next week, so if there are any further changes that need to be
made, I'll be back on 7/15. We have several weeks before the branch cut date
for 2.15, so I don't see any point in rushing.
And thanks for the thoughtful review, @chamikaramj .
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Issue Time Tracking
-------------------
Worklog Id: (was: 271604)
Time Spent: 12h 10m (was: 12h)
> Add support for writing to BigQuery clustered tables
> ----------------------------------------------------
>
> Key: BEAM-5191
> URL: https://issues.apache.org/jira/browse/BEAM-5191
> Project: Beam
> Issue Type: Improvement
> Components: io-java-gcp
> Affects Versions: 2.6.0
> Reporter: Robert Sahlin
> Assignee: Wout Scheepers
> Priority: Minor
> Labels: features, newbie
> Time Spent: 12h 10m
> Remaining Estimate: 0h
>
> Google recently added support for clustered tables in BigQuery. It would be
> useful to set clustering columns the same way as for partitioning. It should
> support multiple fields (4) for clustering.
> For example:
> [BigQueryIO.Write|https://beam.apache.org/documentation/sdks/javadoc/2.6.0/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.Write.html]<[T|https://beam.apache.org/documentation/sdks/javadoc/2.6.0/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.Write.html]>
> .withClustering(new Clustering().setField("productId").setType("STRING"))
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