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  1. Flink
  2. FLINK-21450

Add local recovery support to adaptive scheduler

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      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.

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              roman Roman Khachatryan
              rmetzger Robert Metzger
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