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https://issues.apache.org/jira/browse/BEAM-9822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17112441#comment-17112441
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Niel Markwick commented on BEAM-9822:
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#11570 does make a big reduction to the memory use of the transform in general,
so would help a lot for both bounded and unbounded...
But the other 2 resolve the immediate issue for streaming
> SpannerIO: Reduce memory usage - especially when streaming
> ----------------------------------------------------------
>
> Key: BEAM-9822
> URL: https://issues.apache.org/jira/browse/BEAM-9822
> Project: Beam
> Issue Type: Bug
> Components: io-java-gcp
> Affects Versions: 2.20.0, 2.21.0
> Reporter: Niel Markwick
> Assignee: Niel Markwick
> Priority: P2
> Labels: google-cloud-spanner
> Fix For: 2.22.0
>
> Time Spent: 7h
> Remaining Estimate: 0h
>
> SpannerIO uses a lot of memory.
> In Streaming Dataflow, it uses many times as much (because dataflow creates
> many worker threads)
> Lower the memory use, and change default parameters during streaming to use
> smaller batches and disable grouping.
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