[ https://issues.apache.org/jira/browse/BEAM-3783?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kenneth Knowles reassigned BEAM-3783: ------------------------------------- Assignee: Kenneth Knowles > 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: examples-nexmark > Reporter: Kenneth Knowles > Assignee: Kenneth Knowles > Priority: Major > Labels: gsoc2018 > > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005)