The `py-spark` framework looks to be driver based i.e. it uses the `MesosSchedulerDriver` underneath. You would need to use the `/teardown` endpoint that takes in the `frameworkId`as a query parameter for tearing it down. For more details, see: http://mesos.apache.org/documentation/latest/endpoints/master/teardown/ <http://mesos.apache.org/documentation/latest/endpoints/master/teardown/>
The `TEARDOWN` call to `/api/v1/scheduler` endpoint only works if your framework is using the new Scheduler API <http://mesos.apache.org/documentation/latest/scheduler-http-api/>. Hope this helps. -anand > On Apr 15, 2016, at 12:56 PM, June Taylor <[email protected]> wrote: > > We're getting the highlighted error message returned when attempting to tear > down a framework on our cluster: > > june@cluster:~$ mesos frameworks > ID NAME HOST > ACTIVE TASKS CPU MEM DISK > 0c540ad0-a050-4c20-82df-7bd14ce95f51-0090 pyspark-shell cluster True > 4 115.0 450560.0 0.0 > > > june@cluster:~$ curl -XPOST http://cluster > <http://cluster/>:5050/api/v1/scheduler -d '{ "framework_id": { "value": > "0c540ad0-a050-4c20-82df-7bd14ce95f51-0090" }, "type": "TEARDOWN"}' -H > Content-Type:application/json > Framework is not connected via HTTP > > We cannot get this framework to shut down. I'm not sure why we're getting > this type of error message, as the same POST command has worked against other > framework IDs in the past. > > Your thoughts are much appreciated. > > Thanks, > June Taylor > System Administrator, Minnesota Population Center > University of Minnesota
