[ https://issues.apache.org/jira/browse/FLINK-23707?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Timo Walther closed FLINK-23707. -------------------------------- Fix Version/s: 1.14.0 Resolution: Fixed Fixed in 1.14.0: 3e62364b1b0d6df9553220dc197ace58c546d544 > Use consistent managed memory weights for StreamNode > ---------------------------------------------------- > > Key: FLINK-23707 > URL: https://issues.apache.org/jira/browse/FLINK-23707 > Project: Flink > Issue Type: Sub-task > Components: Table SQL / Planner > Reporter: Timo Walther > Assignee: Timo Walther > Priority: Major > Labels: pull-request-available > Fix For: 1.14.0 > > > Managed memory that is declared on transformations via > {{Transformation#declareManagedMemoryUseCaseAtOperatorScope(ManagedMemoryUseCase > managedMemoryUseCase, int weight)}} should be declared using a weight. > Usually, a weight should be some kind of factor, however, in the table > planner it is used a kibi byte value. This causes issues on the DataStream > API side that sets it to {{1}} in > {{org.apache.flink.streaming.runtime.translators.BatchExecutionUtils#applyBatchExecutionSettings}}. -- This message was sent by Atlassian Jira (v8.3.4#803005)