blakehice4 opened a new issue, #27069:
URL: https://github.com/apache/beam/issues/27069
### What would you like to happen?
Currently when using beam java sdk to write table rows to big query we only
have the ability to use TimePartitioning. I would like for the ability to use
RangePartitioning
### current example:
tableRows.apply(BigQueryIO.writeTableRows()
.to(getTableReference(options.getAnalyticsProject(), dataset, table))
.withExtendedErrorInfo()
.withCustomGcsTempLocation(ValueProvider.StaticValueProvider.of(options.getGcpTempLocation()))
.withClustering(cluster)
**.withTimePartitioning(partition)**
.withSchema(tableSchema)
.withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED)
.withWriteDisposition(writeDisposition)
.withMethod(BigQueryIO.Write.Method.FILE_LOADS));
### Request Example:
tableRows.apply(BigQueryIO.writeTableRows()
.to(getTableReference(options.getAnalyticsProject(), dataset, table))
.withExtendedErrorInfo()
.withCustomGcsTempLocation(ValueProvider.StaticValueProvider.of(options.getGcpTempLocation()))
.withClustering(cluster)
**.withRangePartitioning(partition)**
.withSchema(tableSchema)
.withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED)
.withWriteDisposition(writeDisposition)
.withMethod(BigQueryIO.Write.Method.FILE_LOADS));
### Issue Priority
Priority: 2 (default / most feature requests should be filed as P2)
### Issue Components
- [ ] Component: Python SDK
- [X] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [X] Component: IO connector
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
- [ ] Component: Website
- [ ] Component: Spark Runner
- [ ] Component: Flink Runner
- [ ] Component: Samza Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [ ] Component: Google Cloud Dataflow Runner
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