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https://issues.apache.org/jira/browse/BEAM-5191?focusedWorklogId=271266&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-271266
]
ASF GitHub Bot logged work on BEAM-5191:
----------------------------------------
Author: ASF GitHub Bot
Created on: 02/Jul/19 22:56
Start Date: 02/Jul/19 22:56
Worklog Time Spent: 10m
Work Description: chamikaramj commented on pull request #8945:
[BEAM-5191] Support for BigQuery clustering
URL: https://github.com/apache/beam/pull/8945#discussion_r299715474
##########
File path:
sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOWriteTest.java
##########
@@ -391,6 +392,93 @@ public void testTimePartitioning(BigQueryIO.Write.Method
insertMethod) throws Ex
assertEquals(timePartitioning, table.getTimePartitioning());
}
+ @Test
+ public void testClusteringStreamingInserts() throws Exception {
Review comment:
Probably also add a test that confirms that we fail if withClustering() is
set without withTimePartitioning().
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Issue Time Tracking
-------------------
Worklog Id: (was: 271266)
Time Spent: 11h 10m (was: 11h)
> 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: 11h 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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