It might work to use
0.19 with a 0.20 mesos (or visa versa), but there be dragons =)
Is there a deprecation cycle? How should folks be upgrading Python
schedulers
and executors to 0.20.0 if they are not statically bundling libmesos?
Is there an upgrade order required?
We will need to
Sorry for the tardy reply. Spark seems to be holding on to those resources
then - are you running Spark in coarse grained mode?
I am not too Spark savvy, but running in fine grained mode should allocate
and free resources on-demand rather than allocating a temporary static
partition up front.
Hi,
Currently, there is a bug in Mesos, which allows a completed framework
(e.g., removed by master due to being disconnected for longer than failover
timeout) to re-register with the same framework id. This causes issues in
the WebUI because the same framework id exists in active and terminated
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