def METHOD_NAME(self):
    """
    test parallel execution of listDatasetFileDetails DBS API
    We use small dataset with the following characteristics:
            dasgoclient -query="dataset=/VBF1Parked/HIRun2013A-v1/RAW summary" | jq
            [
              {
                    "file_size": 6053097,
                    "nblocks": 7,
                    "nevents": 0,
                    "nfiles": 7,
                    "nlumis": 428,
                    "num_block": 7,
                    "num_event": 0,
                    "num_file": 7,
                    "num_lumi": 428
              }
            ]
            The parallel call should perform better then sequential while results
    should remain the same.
    """
    url = "https://cmsweb.cern.ch/dbs/prod/global/DBSReader"
    reader1 = DBS3Reader(url, logger=None, parallel=False, aggregate=True)
    reader2 = DBS3Reader(url, logger=None, parallel=True, aggregate=True)
    dataset = '/VBF1Parked/HIRun2013A-v1/RAW'
    time0 = time.time()
    res1 = reader1.listDatasetFileDetails(dataset)
    time1 = time.time() - time0
    self.assertTrue(time1 > 0)  # to avoid pyling complaining about not used varaiable
    time0 = time.time()
    res2 = reader2.listDatasetFileDetails(dataset)
    time2 = time.time() - time0
    self.assertTrue(time2 > 0)  # to avoid pyling complaining about not used varaiable
    self.assertTrue(res1 == res2)