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https://issues.apache.org/jira/browse/BEAM-3783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17139640#comment-17139640
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Beam JIRA Bot commented on BEAM-3783:
-------------------------------------
This issue was marked "stale-assigned" and has not received a public comment in
7 days. It is now automatically unassigned. If you are still working on it, you
can assign it to yourself again. Please also give an update about the status of
the work.
> Streaming Beam SQL benchmarks on all of our runners
> ---------------------------------------------------
>
> Key: BEAM-3783
> URL: https://issues.apache.org/jira/browse/BEAM-3783
> Project: Beam
> Issue Type: New Feature
> Components: testing-nexmark
> Reporter: Kenneth Knowles
> Priority: P2
> Labels: SQL, bigdata, cloud, gsoc2018, java
>
> Beam has a number of classic streaming SQL benchmarks known as "Nexmark"
> coded up in both raw Java and also Beam SQL.
> So far, expanding functionality has been the focus of Beam SQL so there is
> little known about performance - we know only that it is a pretty
> straightforward mapping from SQL to Beam that should work OK a lot of the
> time. It would be interesting to see where the bottlenecks are when these SQL
> benchmarks are translated via Beam SQL into a Beam pipeline and then again
> translated to the native capabilities of e.g. Spark and Flink.
> This project will require the ability to read, write, and run Java and SQL.
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