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https://issues.apache.org/jira/browse/BEAM-3506?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16342092#comment-16342092
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Knut Olav Loite commented on BEAM-3506:
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The problem turned to be linked with the DirectRunner. The DirectRunner always
produces bundles of size one after a grouping operation (in this case the
CountWords operation). When running the same pipeline on the DataflowRunner,
batches of up to 1,000 elements (or any other batch size that is specified)
will be generated.
> JdbcIO: Support writing iterables (i.e. collections) of rows instead of only
> single rows
> ----------------------------------------------------------------------------------------
>
> Key: BEAM-3506
> URL: https://issues.apache.org/jira/browse/BEAM-3506
> Project: Beam
> Issue Type: Improvement
> Components: sdk-java-extensions
> Affects Versions: 2.3.0
> Reporter: Knut Olav Loite
> Assignee: Jean-Baptiste Onofré
> Priority: Minor
> Labels: JdbcIO, jdbc
> Original Estimate: 4h
> Remaining Estimate: 4h
>
> The current JdbcIO write interface expects a PCollection<T> where T is the
> row to be written. Each instance of T is then added to a batch and written to
> the database. The user has little control over how many rows will be added to
> one batch. If JdbcIO would also support writing a PCollection<Iterable<T>>
> the user would have more control over the number of rows in one batch.
> Especially when writing to cloud databases, such as Google Cloud Spanner, the
> batching of multiple rows together is important for performance.
> I already have a solution locally and I will submit a pull request.
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