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Andrey Zagrebin edited comment on FLINK-14566 at 12/3/19 10:00 AM: ------------------------------------------------------------------- [~zhuzh] I think you are right it raises a lot of questions and would need more time to understand. Now I tend to agree with the previous suggestion to expose method for {{Transformation}}/{{StreamNode}} to set weights for managed memory. We should just carefully handle the case of already set known spec and then trying to set the weight for managed memory. I think we should not allow mixing weight and known spec. Also, I would not touch ResourceSpec now and keep the weight in {{Transformation}}/{{StreamNode.}} If we decide to add WeightedResourceSpec later we can adjust internally the weight setting methods and ResourceSpec accordingly. was (Author: azagrebin): [~zhuzh] I think you are right it raises a lot of questions and would need more time to understand. Now I tend to agree with the previous suggestion to expose method for {{Transformation}}/{{StreamNode}} to set weights for managed memory. We should just carefully handle the case of already set known spec and then trying to set the weight for managed memory. I think we should not allow mixing weight and known spec. If we decide to add WeightedResourceSpec later we can adjust the weight setting methods accordingly. > Enable ResourceSpec to get/set whether managed memory is used > ------------------------------------------------------------- > > Key: FLINK-14566 > URL: https://issues.apache.org/jira/browse/FLINK-14566 > Project: Flink > Issue Type: Sub-task > Components: Runtime / Coordination > Affects Versions: 1.10.0 > Reporter: Zhu Zhu > Priority: Critical > Fix For: 1.10.0 > > > To calculate managed memory fraction for an operator with UNKNOWN resources, > we need to know whether the operator will use managed memory, according to > FLINK-14062. > To achieve this, we need an interface to set/get whether an operator uses > managed memory. It can be part of {{ResourceSpec}} or directly locates in the > operator description classes ({{Transformation}}/{{StreamNode}}). -- This message was sent by Atlassian Jira (v8.3.4#803005)