def __call__(self):
grinder.logger.output('Selecting dataset from %s' % dataset_list)
dataset_url = random.choice(data_urls.load_dataset_list(dataset_list))
grinder.logger.output('Downloading %s' % dataset_url)
result = streamed_get(dataset_url)
grinder.logger.output('Transfered %d bytes' % result)
from net.grinder.script.Grinder import grinder
from dapbench.jython.util import generate_subset_requests
from dapbench.jython.netcdf import Dataset
import data_urls
properties = grinder.properties.getPropertySubset('dapbench.')
variable = properties['variable']
datasets = properties['datasets']
time_len = int(properties['time_len'])
req_sample_size = int(properties['req_sample_size'])
partition_dict = {'time': time_len}
dataset_list = data_urls.load_dataset_list(datasets)
test = Test(1, "Parallel slice request")
def call_request(req):
return req()
test.record(call_request)
class TestRunner(object):
def __init__(self):
self.thread = grinder.getThreadNumber()
# Select random dataset
#!TODO: select dataset by Thread number?
self.dataset_url = random.choice(dataset_list)
self.ds = Dataset(self.dataset_url)
self.variable = self.ds.variables[variable]
self.requests = generate_subset_requests(self.variable,
from dapbench.jython.util import generate_subset_requests
from dapbench.jython.netcdf import Dataset
properties = grinder.properties.getPropertySubset('dapbench.')
#
# Select a dataset to test. This selection is specific to the
# BADC test server. Adapt to suite your test server.
#
import data_urls
# The BADC test datasets contain variable 'ta' with 1440 timepoints
variable = properties['variable']
dataset_list = properties['datasets']
dataset_url = random.choice(data_urls.load_dataset_list(dataset_list))
ds = Dataset(dataset_url)
variable = ds.variables[variable]
#
# partitions dictate into how many slices each run will divide the request
#
partitions = [int(x) for x in properties['partitions'].split(',')]
class Instrumented(object):
next_test = 1
def __init__(self, partition):
grinder.logger.output('Selected dataset %s' % dataset_url)
self.test = Test(Instrumented.next_test,
def __call__(self):
grinder.logger.output('Selecting dataset from %s' % dataset_list)
dataset_url = random.choice(data_urls.load_dataset_list(dataset_list))
grinder.logger.output('Downloading %s' % dataset_url)
result = streamed_get(dataset_url)
grinder.logger.output('Transfered %d bytes' % result)
from dapbench.jython.util import generate_subset_requests
from dapbench.jython.netcdf import Dataset
properties = grinder.properties.getPropertySubset('dapbench.')
#
# Select a dataset to test. This selection is specific to the
# BADC test server. Adapt to suite your test server.
#
import data_urls
# The BADC test datasets contain variable 'ta' with 1440 timepoints
variable = properties['variable']
dataset_list = properties['datasets']
dataset_url = random.choice(data_urls.load_dataset_list(dataset_list))
ds = Dataset(dataset_url)
variable = ds.variables[variable]
#
# partitions dictate into how many slices each run will divide the request
#
partitions = [int(x) for x in properties['partitions'].split(',')]
class Instrumented(object):
next_test = 1
def __init__(self, partition):
grinder.logger.output('Selected dataset %s' % dataset_url)
