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Matthias Pohl commented on FLINK-21450: --------------------------------------- Enabling the tests for AdaptiveScheduler (see FLINK-34409): * master ** [8f06fb472ba6a10f0829aecf1eedee26e924aa6d|https://github.com/apache/flink/commit/8f06fb472ba6a10f0829aecf1eedee26e924aa6d] * 1.19 ** [00492630baa5cf041ea2cce2a3560f3e713bf57a|https://github.com/apache/flink/commit/00492630baa5cf041ea2cce2a3560f3e713bf57a] * 1.18 ** [f5c243097ac9fae29c3365a2361b7b0c6be3b3ee|https://github.com/apache/flink/commit/f5c243097ac9fae29c3365a2361b7b0c6be3b3ee] > Add local recovery support to adaptive scheduler > ------------------------------------------------ > > Key: FLINK-21450 > URL: https://issues.apache.org/jira/browse/FLINK-21450 > Project: Flink > Issue Type: Improvement > Components: Runtime / Coordination > Reporter: Robert Metzger > Assignee: Roman Khachatryan > Priority: Major > Labels: auto-deprioritized-major, auto-deprioritized-minor, > auto-unassigned, pull-request-available > Fix For: 1.18.0 > > > local recovery means that, on a failure, we are able to re-use the state in a > taskmanager, instead of loading it again from distributed storage (which > means the scheduler needs to know where which state is located, and schedule > tasks accordingly). > Adaptive Scheduler is currently not respecting the location of state, so > failures require the re-loading of state from the distributed storage. > Adding this feature will allow us to enable the {{Local recovery and sticky > scheduling end-to-end test}} for adaptive scheduler again. -- This message was sent by Atlassian Jira (v8.20.10#820010)