Exemplo n.º 1
0
 def get(self):
   user = users.get_current_user()
   if not user:
     self.redirect(users.create_login_url(dest_url="/"))
     return
   q = AggDataSet.all()
   q.order('-start')
   results = q.fetch(1000)
   datasets = [result for result in results]
   datasets_len = len(datasets)
   q = Record.all()
   q.filter('benchmark =', "aggregate")
   q.order('-start')
   results = q.fetch(1000) 
   records = [result for result in results]
   records_len = len(records)
   fsm_count = get_fsm_count()
   pl_count = get_pl_count()
   mr_count = get_mr_count()
   self.response.out.write(template.render("templates/aggregate.html",
                                           {"user": user.email(),
                                            "datasets_len" : datasets_len,
                                            "datasets" : datasets,
                                            "fsm_count" : fsm_count,
                                            "pl_count" : pl_count,
                                            "mr_count" : mr_count,
                                            "records": records,
                                            "records_len" : records_len}))
Exemplo n.º 2
0
  def post(self):
    if self.request.get("fsm_cleanup"):
      if fsm_calculate_run_time():
        self.redirect("/agg") 
      else:
        self.response.out.write("Error calculating run time of FSM/aggregate") 

    if self.request.get("reset_fsm_count"):
      for c in FSMSimpleCounterShard.all():
        c.delete()
      self.redirect('/agg')
      return
    if self.request.get("reset_mr_count"):
      for c in MRSimpleCounterShard.all():
        c.delete()
      self.redirect('/agg')
      return

    if self.request.get("reset_pl_count"):
      for c in PLSimpleCounterShard.all():
        c.delete()
      self.redirect('/agg')
      return

    if self.request.get("compute"):
      engine = self.request.get("engine")
      dataset = self.request.get("dataset")
      user = self.request.get('user')
      data = AggDataSet.get_by_key_name(dataset)
      
      record = Record(engine_type=engine, 
                      dataset=dataset,
                      benchmark="aggregate",
                      num_entities=data.num_entries,
                      entries_per_pipe=data.entries_per_pipe,
                      user=user,
                      state="Running")
      if engine == "fsm":
        record.put()
        # reset count
        for c in FSMSimpleCounterShard.all():
          c.delete()

        context = {}
        context['user'] = str(user)
        context['num_entries'] = int(data.num_entries)
        fsm.startStateMachine('Aggregate', [context])
        self.redirect('/agg')
      elif engine == "fsm_fan_in":
        """ This one uses fan in """
        record.put()
        # reset count
        for c in FSMSimpleCounterShard.all():
          c.delete()

        context = {}
        context['user'] = str(user)
        context['num_entries'] = int(data.num_entries)
        fsm.startStateMachine('Aggregate2', [context])
        self.redirect('/agg')
      elif engine == "pipeline":
        for c in PLSimpleCounterShard.all():
          c.delete()
        mypipeline = AggregatePipeline(data.num_entries)
        mypipeline.start()
        record.pipeline_id = mypipeline.pipeline_id
        record.put()
        self.redirect('/agg') 
        #self.redirect(mypipeline.base_path + "/status?root=" + mypipeline.pipeline_id)
      elif engine == "mr":
        for c in MRSimpleCounterShard.all():
          c.delete()
        # Why 1k each per shard or less? is this ideal?
        if data.num_entries > 1000: shards = data.num_entries/1000
        else: shards = 1

        kind = get_class(data.num_entries)
        mapreduce_id = control.start_map(
          name="Wordcount with just mappers",
          handler_spec="aggregate.mr.aggregate_mapper",
          reader_spec="mapreduce.input_readers.DatastoreInputReader",
          mapper_parameters={
              "entity_kind": "data.aggregate."+kind,
              "processing_rate": 500
          },
          mapreduce_parameters={model.MapreduceSpec.PARAM_DONE_CALLBACK:
                     '/agg/mr/callback'},
          shard_count=shards,
          queue_name="default",
        )

        record.mr_id = mapreduce_id
        record.put()
        self.redirect('/agg')