andygrove opened a new issue, #69: URL: https://github.com/apache/datafusion-ray/issues/69
DFRay currently creates "stage processors" for each stage in a query plan and eagerly executes queries. This is good for low-latency use cases but can require a large amount of memory. I would like to have the option to execute using a Spark-like approach where the output of each query stage is streamed to shuffle files and then the next stage streams from that shuffle file via flight (this is the design implemented in Ballista). This would be helpful to cases where users are migrating away from Spark and want a similar execution model. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For additional commands, e-mail: github-h...@datafusion.apache.org
