Pascal GILLET created SPARK-23499:
-------------------------------------

             Summary: Mesos Cluster Dispatcher should support priority queues 
to submit drivers
                 Key: SPARK-23499
                 URL: https://issues.apache.org/jira/browse/SPARK-23499
             Project: Spark
          Issue Type: Improvement
          Components: Mesos
    Affects Versions: 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0
            Reporter: Pascal GILLET
             Fix For: 2.4.0


As for Yarn, Mesos users should be able to specify priority queues to define a 
workload management policy for queued drivers in the Mesos Cluster Dispatcher.

Submitted drivers are *currently* kept in order of their submission: the first 
driver added to the queue will be the first one to be executed (FIFO).

Each driver could have a "priority" associated with it. A driver with high 
priority is served (Mesos resources) before a driver with low priority. If two 
drivers have the same priority, they are served according to their submit date 
in the queue.

To set up such priority queues, the following changes are proposed:
 * The Mesos Cluster Dispatcher can optionally be configured with the 
_spark.mesos.dispatcher.queue.[QueueName]_ property. This property takes a 
float as value. This adds a new queue named _QueueName_ for submitted drivers 
with the specified priority.
Higher numbers indicate higher priority.
The user can then specify multiple queues.
 * A driver can be submitted to a specific queue with 
_spark.mesos.dispatcher.queue_. This property takes the name of a queue 
previously declared in the dispatcher as value.

By default, the dispatcher has a single "default" queue with 0.0 priority 
(cannot be overridden). If none of the properties above are specified, the 
behavior is the same as the current one (i.e. simple FIFO).


Additionaly, it is possible to implement a consistent and overall workload 
management policy throughout the lifecycle of drivers by mapping these priority 
queues to weighted Mesos roles if any (i.e. from the QUEUED state in the 
dispatcher to the final states in the Mesos cluster), and by specifying a 
spark.mesos.role along with a spark.mesos.dispatcher.queue when submitting an 
application.


For example, with the URGENT Mesos role:
# Conf on the dispatcher side
spark.mesos.dispatcher.queue.URGENT=1.0

# Conf on the driver side
spark.mesos.dispatcher.queue=URGENT
spark.mesos.role=URGENT



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