Exemplo n.º 1
0
 def monitor(self, worker):
     try:
         rpc.getThriftWorkerManagerClient('workermanager').update_status(worker.instance_name)
         return True
     except NebuException, e:
         self.nebu_e = e
         return False
Exemplo n.º 2
0
 def monitor(self, worker):
     try:
         rpc.getThriftWorkerManagerClient('workermanager').update_status(
             worker.instance_name)
         return True
     except NebuException, e:
         self.nebu_e = e
         return False
    def __find_best_worker(self, required_ram):
        '''
            finds the 'best' worker to use for a deploy requiring 'required_ram'
            
            constraints:
            * the worker can accomodate 'required_ram'
            * the worker is not in 'decomissioning' state
            
            for all those workers that comply to the above constraint, pick one considering:
            * workers in 'controllable' state are better than other workers
            * to choose between 2 workers, having less ram available is better

            if there is NO worker matching the constraints, this method will try to create a new worker
        '''


        # make sure at least 1 worker matches the constraints
        workers = Worker.objects.exclude(status=Worker.States.decommissioning).exclude(status=Worker.States.dying).exclude(status=Worker.States.dead)
        
        should_create_worker = True
        for worker in workers:
            used = self.__get_total_ram(worker)
            available = worker.get_usable_ram() - used
            if available > required_ram:
                # found one that could accomodate 'required_ram' .. no need to look further.
                should_create_worker = False
                break

        if should_create_worker:
            # create a new worker. it will be available on next loop iteration
            wm_client = rpc.getThriftWorkerManagerClient('workermanager')
            wm_client.add_worker('m2.xlarge')
            

        # OK, either there were workers that could accomodate 'required_ram', or we just created one.
        # find the best

        # first try only controllable workers
        # this way the deploy will be available FASTER
        workers = Worker.objects.filter(status=Worker.States.controllable)

        for i in range(2):
            best_worker = None
            best_ram = 1000000 # we should bump this number when we get workers with ram > 1TB
            for worker in workers:
                used = self.__get_total_ram(worker) 
                available = worker.get_usable_ram() - used
                if available > required_ram and available < best_ram:
                    best_ram = available
                    best_worker = worker
            
            if best_worker is not None:
                return best_worker
           
            # need to try again. let workers be everything but decomissioning, dying or dead ones.
            workers = Worker.objects.exclude(status=Worker.States.decommissioning).exclude(status=Worker.States.dying).exclude(status=Worker.States.dead)
       
        # tried only controllable, and everything .. still not found
        raise Exception('Second iteration and no suitable worker. Something is wrong...')
Exemplo n.º 4
0
from rpc import getThriftWorkerManagerClient
import sys


# Missing a way to close transport 

if __name__ == '__main__':
    client = getThriftWorkerManagerClient('workermanager')
    if len(sys.argv) > 1:
        itype = sys.argv[1]
        retcode = client.add_worker(itype)
        print "Finished adding worker of type [%s] : %s " % (itype, retcode)
    else:
        retcode = client.add_worker()
        print "Finished adding worker: %s" % retcode