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https://issues.apache.org/jira/browse/BEAM-3311?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Solomon Duskis closed BEAM-3311.
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Resolution: Won't Fix
Fix Version/s: Not applicable
Use Flatten.iterable() instead of duplicating that functionality in BigtableIO.
> 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
> Fix For: Not applicable
>
>
> 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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