Aitozi created FLINK-30198: ------------------------------ Summary: Support AdaptiveBatchScheduler to set per-task size for reducer task Key: FLINK-30198 URL: https://issues.apache.org/jira/browse/FLINK-30198 Project: Flink Issue Type: Improvement Components: Runtime / Coordination Reporter: Aitozi
When we use AdaptiveBatchScheduler in our case, we found that it can work well in most case, but there is a limit that, there is only one global parameter for per task data size by {{jobmanager.adaptive-batch-scheduler.avg-data-volume-per-task}}. However, in a map-reduce architecture, the reducer tasks are usually have more complex computation logic such as aggregate/sort/join operators. So I think it will be nicer we can set the reducer and mapper task's data size per task individually. Then, how to distinguish the reducer task, IMO, we can let the parallelism decider know whether the vertex have a hash edge inputs. If yes, it should be a reducer task. -- This message was sent by Atlassian Jira (v8.20.10#820010)