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https://issues.apache.org/jira/browse/BEAM-3311?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16340124#comment-16340124
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Solomon Duskis commented on BEAM-3311:
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I spoke quite a bit with the Beam team about this. BigtableIO should remain as
is. It looks like there's a _Flatten.iterables()_ which ought to convert an
_Iterable<T>_ to a _T_. The BigtableIO connector is meant to satisfy 80%+ of
the use cases. In other cases, I generally look for common usage patterns
before a change is made to any connector.
In addition to this approach, you can also create your own DoFn that does
arbitrary operations against a
[BigtableSession|https://github.com/GoogleCloudPlatform/cloud-bigtable-client/blob/master/bigtable-client-core-parent/bigtable-client-core/src/main/java/com/google/cloud/bigtable/grpc/BigtableSession.java].
Be sure to use _BigtableOptions.Builder.setUseCachedDataPool(true)_, if you
chose to go down this route.
> Extend BigTableIO to write Iterable of KV
> ------------------------------------------
>
> Key: BEAM-3311
> URL: https://issues.apache.org/jira/browse/BEAM-3311
> Project: Beam
> Issue Type: Improvement
> Components: sdk-java-gcp
> Affects Versions: 2.2.0
> Reporter: Anna Smith
> Assignee: Solomon Duskis
> Priority: Major
>
> The motivation is to achieve qps as advertised in BigTable in Dataflow
> streaming mode (ex: 300k qps for 30 node cluster). Currently we aren't
> seeing this as the bundle size is small in streaming mode and the requests
> are overwhelmed by AuthentiationHeader. For example, in order to achieve qps
> advertised each payload is recommended to be ~1KB but without batching each
> payload is 7KB, the majority of which is the authentication header.
> Currently BigTableIO supports DoFn<KV<ByteString, Iterable<Mutation>>,...>
> where batching is done per Bundle on flush in finishBundle. We would like to
> be able to manually batch using a DoFn<Iterable<KV<ByteString,
> Iterable<Mutation>>>,...> so we can get around the small Bundle size in
> streaming. We have seen some improvements in qps to BigTable when running
> with Dataflow using this approach.
> Initial thoughts on implementation would be to extend Write in order to have
> a BulkWrite of Iterable<KV<ByteString, Iterable<Mutation>>>.
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