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Hyukjin Kwon edited comment on SPARK-32925 at 9/20/20, 1:53 AM: ---------------------------------------------------------------- cc [~mridulm80]] FYI was (Author: hyukjin.kwon): cc [~mridul] FYI > Support push-based shuffle in multiple deployment environments > -------------------------------------------------------------- > > Key: SPARK-32925 > URL: https://issues.apache.org/jira/browse/SPARK-32925 > Project: Spark > Issue Type: Improvement > Components: Shuffle, Spark Core > Affects Versions: 3.1.0 > Reporter: Min Shen > Priority: Major > > Create this ticket outside of SPARK-30602, since this is outside of the scope > of the immediate deliverables in that SPIP. Want to use this ticket to > discuss more about how to further improve push-based shuffle in different > environments. > The tasks created under SPARK-30602 would enable push-based shuffle on YARN > in a compute/storage colocated cluster. However, there are other deployment > environments that are getting more popular these days. We have seen 2 as we > discussed with other community members on the idea of push-based shuffle: > * Spark on K8S in a compute/storage colocated cluster. Because of the > limitation of concurrency of read/write of a mounted volume in K8S, multiple > executor pods on the same node in a K8S cluster cannot concurrently access > the same mounted disk volume. This creates some different requirements for > supporting external shuffle service as well as push-based shuffle. > * Spark on a compute/storage disaggregate cluster. Such a setup is more > typical in cloud environments, where the compute cluster has little/no local > storage, and the shuffle intermediate data needs to be stored in remote > disaggregate storage cluster. > Want to use this ticket to discuss ways to support push-based shuffle in > these different deployment environments. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org