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Fabian Hueske commented on FLINK-11139: --------------------------------------- [~zhaoshijie], I assume you configured a [idle state retention time|https://ci.apache.org/projects/flink/flink-docs-release-1.7/dev/table/streaming/query_configuration.html#idle-state-retention-time]. How did you choose the min and max values? The difference between min and max determines how often a timer is registered. Moreover, [~hequn8128] reworked the clean up timers such that they use the timer delete feature that was added in Flink 1.6.0. The PR was merged a few days ago and should already fix the problem. > stream non window join support state ttl > ---------------------------------------- > > Key: FLINK-11139 > URL: https://issues.apache.org/jira/browse/FLINK-11139 > Project: Flink > Issue Type: Improvement > Components: Table API & SQL > Affects Versions: 1.7.0 > Reporter: zhaoshijie > Priority: Major > > stream non window join function use timer to delete expired data,it is ok for > small amount of data or short expiration time,but it will be OOM(too many > timer)on taskManger when there is a long expiration time and a large > amount of data。In fact, table module other state function has same problem,I > would like to contribute to fix it。 -- This message was sent by Atlassian JIRA (v7.6.3#76005)