code stringlengths 66 870k | docstring stringlengths 19 26.7k | func_name stringlengths 1 138 | language stringclasses 1
value | repo stringlengths 7 68 | path stringlengths 5 324 | url stringlengths 46 389 | license stringclasses 7
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|---|---|---|---|---|---|---|---|
def Cleanup(benchmark_spec):
"""Cleanup netperf on the target vm (by uninstalling).
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vms = benchmark_spec.vms
for vm in vms[1:]:
vm.RemoteCommand('sudo killall netserver')
vms[0].Rem... | Cleanup netperf on the target vm (by uninstalling).
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bidirectional_network_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bidirectional_network_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install and set up tensorflow io on the target VM."""
vm = benchmark_spec.vms[0]
path = data.ResourcePath(os.path.join(REMOTE_SCRIPTS_DIR, REMOTE_SCRIPT))
logging.info('Uploading %s to %s', path, vm)
vm.PushFile(path, REMOTE_SCRIPT)
vm.RemoteCommand(f'sudo chmod 755 {REMOTE_S... | Install and set up tensorflow io on the target VM. | Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bigquery_tf_connector_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bigquery_tf_connector_benchmark.py | Apache-2.0 |
def _RunBenchmark(vm, streams=1, batch_size=2048, data_format='AVRO'):
"""Run a benchmark python script on a VM for given arguments.
Args:
vm: GCE VM instance where to run the benchmark.
streams: Number of BigQuery streams to use.
batch_size: batch size to use.
data_format: serialization data forma... | Run a benchmark python script on a VM for given arguments.
Args:
vm: GCE VM instance where to run the benchmark.
streams: Number of BigQuery streams to use.
batch_size: batch size to use.
data_format: serialization data format to use (AVRO or ARROW).
Returns:
Benchmark result.
| _RunBenchmark | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bigquery_tf_connector_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bigquery_tf_connector_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run a benchmark python script on a VM and returns results."""
vm = benchmark_spec.vms[0]
results = _RunBenchmark(
vm,
streams=FLAGS.requested_streams,
batch_size=FLAGS.batch_size,
data_format=FLAGS.format,
)
return results | Run a benchmark python script on a VM and returns results. | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bigquery_tf_connector_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bigquery_tf_connector_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Measure the boot time for all VMs.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects with individual machine boot times.
"""
vm = benchmark_spec.vms[0]
if 'all' not ... | Measure the boot time for all VMs.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects with individual machine boot times.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/blazemark_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/blazemark_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Prepare the virtual machine to run FIO.
This includes installing fio, bc. and libaio1 and insuring that the
attached disk is large enough to support the fio benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run t... | Prepare the virtual machine to run FIO.
This includes installing fio, bc. and libaio1 and insuring that the
attached disk is large enough to support the fio benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | Apache-2.0 |
def RunSimulatedLogging(vm):
"""Spawn fio to simulate logging and gather the results.
Args:
vm: The vm that synthetic_storage_workloads_benchmark will be run upon.
Returns:
A list of sample.Sample objects
"""
test_size = vm.total_memory_kb
cmd = (
'--filesize=10g '
'--directory=%s '
... | Spawn fio to simulate logging and gather the results.
Args:
vm: The vm that synthetic_storage_workloads_benchmark will be run upon.
Returns:
A list of sample.Sample objects
| RunSimulatedLogging | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | Apache-2.0 |
def RunSimulatedDatabase(vm):
"""Spawn fio to simulate database and gather the results.
Args:
vm: The vm that synthetic_storage_workloads_benchmark will be run upon.
Returns:
A list of sample.Sample objects
"""
test_size = min(vm.total_memory_kb / 10, 1000000)
iodepth_list = FLAGS.iodepth_list or ... | Spawn fio to simulate database and gather the results.
Args:
vm: The vm that synthetic_storage_workloads_benchmark will be run upon.
Returns:
A list of sample.Sample objects
| RunSimulatedDatabase | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | Apache-2.0 |
def RunSimulatedStreaming(vm):
"""Spawn fio to simulate streaming and gather the results.
Args:
vm: The vm that synthetic_storage_workloads_benchmark will be run upon.
Returns:
A list of sample.Sample objects
"""
test_size = min(vm.total_memory_kb / 10, 1000000)
iodepth_list = FLAGS.iodepth_list o... | Spawn fio to simulate streaming and gather the results.
Args:
vm: The vm that synthetic_storage_workloads_benchmark will be run upon.
Returns:
A list of sample.Sample objects
| RunSimulatedStreaming | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Spawn fio and gather the results.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
logging.info('Simulating %s scenario.', FLAGS.workload_mode)
vms = benchmark... | Spawn fio and gather the results.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec):
"""Uninstall packages required for fio and remove benchmark files.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vms = benchmark_spec.vms
vm = vms[0]
logging.info('FIO Cleanup up on %s', vm)
vm.Remove... | Uninstall packages required for fio and remove benchmark files.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/block_storage_workloads_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install Bonnie++ on the target vm.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vms = benchmark_spec.vms
vm = vms[0]
logging.info('Bonnie++ prepare on %s', vm)
vm.InstallPackages('bonnie++') | Install Bonnie++ on the target vm.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | Apache-2.0 |
def IsValueValid(value):
"""Validate the value.
An invalid value is either an empty string or a string of multiple '+'.
Args:
value: string. The value in raw result.
Returns:
A boolean indicates if the value is valid or not.
"""
if value == '' or '+' in value:
return False
return True | Validate the value.
An invalid value is either an empty string or a string of multiple '+'.
Args:
value: string. The value in raw result.
Returns:
A boolean indicates if the value is valid or not.
| IsValueValid | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | Apache-2.0 |
def ParseLatencyResult(result):
"""Parse latency result into value and unit.
Args:
result: string. Latency value in string format, contains value and unit. eg.
200ms
Returns:
A tuple of value (float) and unit (string).
"""
match = regex_util.ExtractAllMatches(LATENCY_REGEX, result)[0]
return... | Parse latency result into value and unit.
Args:
result: string. Latency value in string format, contains value and unit. eg.
200ms
Returns:
A tuple of value (float) and unit (string).
| ParseLatencyResult | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | Apache-2.0 |
def UpdateMetadata(metadata, key, value):
"""Check if the value is valid, update metadata with the key, value pair.
Args:
metadata: dict. A dictionary of sample metadata.
key: string. Key that will be added into metadata dictionary.
value: Value that of the key.
"""
if IsValueValid(value):
meta... | Check if the value is valid, update metadata with the key, value pair.
Args:
metadata: dict. A dictionary of sample metadata.
key: string. Key that will be added into metadata dictionary.
value: Value that of the key.
| UpdateMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | Apache-2.0 |
def CreateSamples(
results, start_index, end_index, metadata, field_index_mapping
):
"""Create samples with data in results from start_index to end_index.
Args:
results: A list of string representing bonnie++ results.
start_index: integer. The start index in results list of the samples.
end_index: ... | Create samples with data in results from start_index to end_index.
Args:
results: A list of string representing bonnie++ results.
start_index: integer. The start index in results list of the samples.
end_index: integer. The end index in results list of the samples.
metadata: dict. A dictionary of met... | CreateSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | Apache-2.0 |
def ParseCSVResults(results):
"""Parse csv format bonnie++ results.
Sample Results:
1.96,1.96,perfkit-7b22f510-0,1,1421800799,7423M,,,,72853,15,47358,5,,,
156821,7,537.7,10,100,,,,,49223,58,+++++,+++,54405,53,2898,97,+++++,+++,
59089,60,,512ms,670ms,,44660us,200ms,3747us,1759us,1643us,33518us,192us,
... | Parse csv format bonnie++ results.
Sample Results:
1.96,1.96,perfkit-7b22f510-0,1,1421800799,7423M,,,,72853,15,47358,5,,,
156821,7,537.7,10,100,,,,,49223,58,+++++,+++,54405,53,2898,97,+++++,+++,
59089,60,,512ms,670ms,,44660us,200ms,3747us,1759us,1643us,33518us,192us,
839us
Args:
results: strin... | ParseCSVResults | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run Bonnie++ on the target vm.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of samples in the form of 3 or 4 tuples. The tuples contain
the sample metric (string), value (float), and ... | Run Bonnie++ on the target vm.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of samples in the form of 3 or 4 tuples. The tuples contain
the sample metric (string), value (float), and unit (string).
If a 4t... | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/bonnie_benchmark.py | Apache-2.0 |
def GetConfig(user_config):
"""Customize the config for the benchmark based on flags."""
cloud = FLAGS.cloud
config = configs.LoadConfig(BENCHMARK_CONFIG, user_config, BENCHMARK_NAME)
if FLAGS.client_vm_machine_type:
vm_spec = config['vm_groups'][CLIENT_GROUP]['vm_spec']
for cloud_value in vm_spec:
... | Customize the config for the benchmark based on flags. | GetConfig | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def CheckPrerequisites(benchmark_config):
"""Verifies that the required resources are present.
Raises:
perfkitbenchmarker.data.ResourceNotFound: On missing resource.
"""
if not CASSANDRA_SERVER_ZONES.value:
raise errors.Setup.InvalidFlagConfigurationError(
'Specify zones for cassandra servers i... | Verifies that the required resources are present.
Raises:
perfkitbenchmarker.data.ResourceNotFound: On missing resource.
| CheckPrerequisites | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def CheckMetadata(metadata):
"""Verify that metadata is valid.
Args:
metadata: dict. Contains metadata for this benchmark.
"""
if metadata['command'] in PRELOAD_REQUIRED:
if metadata['population_size'] > metadata['num_preload_keys']:
raise errors.Benchmarks.PrepareException(
'For %s mod... | Verify that metadata is valid.
Args:
metadata: dict. Contains metadata for this benchmark.
| CheckMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def GenerateMetadataFromFlags(benchmark_spec, cassandra_vms, client_vms):
"""Generate metadata from command-line flags.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
cassandra_vms: cassandra server vms.
client_vms: cassandra client vms... | Generate metadata from command-line flags.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
cassandra_vms: cassandra server vms.
client_vms: cassandra client vms.
Returns:
dict. Contains metadata for this benchmark.
| GenerateMetadataFromFlags | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def PreloadCassandraServer(cassandra_vms, client_vms, metadata):
"""Preload cassandra cluster if necessary.
Args:
cassandra_vms: cassandra server vms.
client_vms: client vms that run cassandra-stress.
metadata: dict. Contains metadata for this benchmark.
"""
if (
FLAGS.cassandra_stress_comman... | Preload cassandra cluster if necessary.
Args:
cassandra_vms: cassandra server vms.
client_vms: client vms that run cassandra-stress.
metadata: dict. Contains metadata for this benchmark.
| PreloadCassandraServer | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install Cassandra and Java on target vms.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vm_dict = benchmark_spec.vm_groups
cassandra_vms, client_vms = ParseVmGroups(vm_dict)
logging.info('VM dictiona... | Install Cassandra and Java on target vms.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def RunTestOnLoader(
vm,
loader_index,
operations_per_vm,
data_node_ips,
command,
user_operations,
population_per_vm,
population_dist,
population_params,
thread_count,
is_preload,
):
"""Run Cassandra-stress test on loader node.
Args:
vm: The target vm.
loader_ind... | Run Cassandra-stress test on loader node.
Args:
vm: The target vm.
loader_index: integer. The index of target vm in loader vms.
operations_per_vm: integer. The number of operations each loader vm
requests.
data_node_ips: list. List of IP addresses for all data nodes.
command: string. The ca... | RunTestOnLoader | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def RunCassandraStressTest(
cassandra_vms,
loader_vms,
num_operations,
command,
thread_count,
profile_operations='insert=1',
population_size=None,
population_dist=None,
population_params=None,
is_preload=False,
):
"""Start all loader nodes as Cassandra clients and run stress te... | Start all loader nodes as Cassandra clients and run stress test.
Args:
cassandra_vms: list. A list of vm objects. Cassandra servers.
load_vms: list. A list of vm objects. Cassandra clients.
num_keys: integer. The number of operations cassandra-stress clients should
issue.
command: string. The c... | RunCassandraStressTest | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def ParseAverageCpuUtilization(output) -> float:
"""Parses the output of the sar command."""
average_cpu_utilization = re.findall(
r'^Average.*$', output, flags=re.MULTILINE
)
if not average_cpu_utilization:
logging.error('No average cpu utilization found in sar output.')
return 0
per_process_cp... | Parses the output of the sar command. | ParseAverageCpuUtilization | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def CalculateNumberOfSarRequestsFromDuration(duration, freq):
"""Calculates the number of sar requests to be sent from the duration of the test."""
if duration is None:
# If duration is not set, we don't need to send sar requests.
return 0
duration = duration.replace('m', 'min') # In units, m is meter
... | Calculates the number of sar requests to be sent from the duration of the test. | CalculateNumberOfSarRequestsFromDuration | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def ParseResp(resp) -> dict[str, Union[float, int]]:
"""Parses response from Cassandra stress test.
Args:
resp: metric data to parse
Returns:
dict of all the metrics and their values
"""
all_rows = resp.split('\n')
metric_values = {}
for row in all_rows:
if row.strip() == 'Results:' or not r... | Parses response from Cassandra stress test.
Args:
resp: metric data to parse
Returns:
dict of all the metrics and their values
| ParseResp | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def _ParseResultRow(row: str) -> tuple[str, float] | None:
"""Parses a single row of the result file."""
try:
metric_name = regex_util.ExtractGroup('(.*) :', row, 1).lower().strip()
except regex_util.NoMatchError:
logging.error('Metric name not found in row: %s', row)
return None
if metric_name not ... | Parses a single row of the result file. | _ParseResultRow | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def CollectResultFile(vm, results):
"""Collect result file on vm.
Args:
vm: The target vm.
results: A dictionary of lists. Each list contains results of a field
defined in RESULTS_METRICS collected from each loader machines.
"""
result_path = _ResultFilePath(vm)
vm.PullFile(vm_util.GetTempDir()... | Collect result file on vm.
Args:
vm: The target vm.
results: A dictionary of lists. Each list contains results of a field
defined in RESULTS_METRICS collected from each loader machines.
| CollectResultFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def CollectResults(loader_vms, metadata):
"""Collect and parse test results.
Args:
loader_vms: client vms.
metadata: dict. Contains metadata for this benchmark.
Returns:
A list of sample.Sample objects.
"""
logging.info('Gathering results.')
raw_results = collections.defaultdict(list)
args =... | Collect and parse test results.
Args:
loader_vms: client vms.
metadata: dict. Contains metadata for this benchmark.
Returns:
A list of sample.Sample objects.
| CollectResults | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run Cassandra on target vms.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
cassandra_vms, client_vms = ParseVmGroups(benchmark_spec.vm_groups)
metadata = Ge... | Run Cassandra on target vms.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def RunTestNTimes(client_vms, cassandra_vms, metadata):
"""Run the cassandra stress test max_allowed_runs times.
Args:
client_vms: client vms.
cassandra_vms: cassandra server vms.
metadata: dict. Contains metadata for this benchmark.
Returns:
A list of sample.Sample objects.
Running cassandra... | Run the cassandra stress test max_allowed_runs times.
Args:
client_vms: client vms.
cassandra_vms: cassandra server vms.
metadata: dict. Contains metadata for this benchmark.
Returns:
A list of sample.Sample objects.
Running cassandra stress test with different thread counts.
- We increase th... | RunTestNTimes | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def WaitForCompactionTasks(cassandra_vms):
"""Waits for cassandra's pending compaction tasks to be completed."""
pending_compaction_tasks = cassandra.GetPendingTaskCountFromCompactionStats(
cassandra_vms
)
max_pending_compaction_tasks = max(pending_compaction_tasks)
logging.info(
'Remaining compac... | Waits for cassandra's pending compaction tasks to be completed. | WaitForCompactionTasks | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def GetCpuUtilization(cassandra_vms):
"""Get cpu utilization during the test from sar output.
Args:
cassandra_vms: cassandra server vms.
Returns:
A list of cpu utilization for each cassandra node.
"""
cpu_utilization = []
if (
CalculateNumberOfSarRequestsFromDuration(
CASSANDRA_STR... | Get cpu utilization during the test from sar output.
Args:
cassandra_vms: cassandra server vms.
Returns:
A list of cpu utilization for each cassandra node.
| GetCpuUtilization | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def ParseUptimeOutput(uptime_output) -> float:
"""Parses the output of the uptime command.
Args:
uptime_output: The output of the uptime command.
Returns:
The load average of the last 5 minutes.
Sample uptime command output:
20:11:37 up 172 days, 22 min, 4 users, load average: 0.23, 0.54, 0.31
lo... | Parses the output of the uptime command.
Args:
uptime_output: The output of the uptime command.
Returns:
The load average of the last 5 minutes.
Sample uptime command output:
20:11:37 up 172 days, 22 min, 4 users, load average: 0.23, 0.54, 0.31
load average displays the load average of the last 1 m... | ParseUptimeOutput | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec):
"""Cleanup function.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vm_dict = benchmark_spec.vm_groups
cassandra_vms = vm_dict[CASSANDRA_GROUP]
background_tasks.RunThreaded(cassandra.Stop, cassandra_vms)... | Cleanup function.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_stress_benchmark.py | Apache-2.0 |
def _CreateYCSBTable(
vm,
keyspace=KEYSPACE_NAME,
column_family=COLUMN_FAMILY,
replication_factor=REPLICATION_FACTOR,
):
"""Creates a Cassandra table for use with YCSB."""
template_path = data.ResourcePath(CREATE_TABLE_SCRIPT)
remote_path = os.path.join(
cassandra.CASSANDRA_DIR,
os.pat... | Creates a Cassandra table for use with YCSB. | _CreateYCSBTable | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_ycsb_benchmark.py | Apache-2.0 |
def _GetVMsByRole(benchmark_spec):
"""Gets a dictionary mapping role to a list of VMs."""
cassandra_vms = benchmark_spec.vm_groups['workers']
if FLAGS.ycsb_client_vms:
clients = benchmark_spec.vm_groups['clients']
else:
clients = cassandra_vms
return {
'vms': benchmark_spec.vms,
'cassandra... | Gets a dictionary mapping role to a list of VMs. | _GetVMsByRole | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_ycsb_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Prepare the virtual machines to run YCSB against Cassandra.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vms = benchmark_spec.vms
by_role = _GetVMsByRole(benchmark_spec)
loaders = by_role['clients'... | Prepare the virtual machines to run YCSB against Cassandra.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_ycsb_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Spawn YCSB and gather the results.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample instances.
"""
loaders = _GetVMsByRole(benchmark_spec)['clients']
cassandra_vms = _GetVM... | Spawn YCSB and gather the results.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample instances.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_ycsb_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec):
"""Cleanup.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
cassandra_vms = _GetVMsByRole(benchmark_spec)['cassandra_vms']
background_tasks.RunThreaded(cassandra.Stop, cassandra_vms)
background_tasks.RunT... | Cleanup.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cassandra_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cassandra_ycsb_benchmark.py | Apache-2.0 |
def _BuildAndCleanTarget(vm, requested_target, metadata):
"""Run a full build and clean of the provided git target.
Args:
vm: virtual_machine, where to run the build.
requested_target: string, a valid ninja build target. Probably 'chrome' or
'base_unittests'.
metadata: dict, metadata to include i... | Run a full build and clean of the provided git target.
Args:
vm: virtual_machine, where to run the build.
requested_target: string, a valid ninja build target. Probably 'chrome' or
'base_unittests'.
metadata: dict, metadata to include in the resulting Samples.
Returns:
A list of sample.Sampl... | _BuildAndCleanTarget | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/chromium_compile_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/chromium_compile_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run a timed compile of the Chromium source.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample instances.
"""
vm = benchmark_spec.vms[0]
returnme = []
local_working_direct... | Run a timed compile of the Chromium source.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample instances.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/chromium_compile_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/chromium_compile_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec):
"""Cleanup the VM to its original state.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vm = benchmark_spec.vms[0]
vm.RemoteCommand(
'rm -rf {}'.format(
os.path.join(vm.GetScratchDir(), WOR... | Cleanup the VM to its original state.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/chromium_compile_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/chromium_compile_benchmark.py | Apache-2.0 |
def _PrepareDevicePath(vm, link):
"""Find device path and grant full permission.
Args:
vm: VirtualMachine object.
link: string. Represents device path.
Returns:
String represents the actual path to the device.
"""
path = vm.RemoteCommand('readlink -f %s' % link)[0][:-1]
vm.RemoteCommand('sudo ... | Find device path and grant full permission.
Args:
vm: VirtualMachine object.
link: string. Represents device path.
Returns:
String represents the actual path to the device.
| _PrepareDevicePath | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/ch_block_storage_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/ch_block_storage_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Runs cloudharmony block storage and reports the results."""
vm = benchmark_spec.vms[0]
target = ' '.join([
'--target=%s' % _PrepareDevicePath(vm, dev.GetDevicePath())
for dev in vm.scratch_disks
])
tests = ' '.join(['--test=%s' % test for test in FLAGS.ch_block_tests])
... | Runs cloudharmony block storage and reports the results. | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/ch_block_storage_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/ch_block_storage_benchmark.py | Apache-2.0 |
def _StartServer(vm):
"""Starts the server.
Args:
vm: the server virtual machine.
"""
for port in list(range(_PORT, _PORT + _IPERF_CONCURRENCY.value)):
vm.RemoteCommand(f'nohup iperf3 --server -p {port} &> /dev/null & echo $!') | Starts the server.
Args:
vm: the server virtual machine.
| _StartServer | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_iperf_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_iperf_benchmark.py | Apache-2.0 |
def _PrepareVm(vm):
"""Prepares the server and the client.
Args:
vm: the server or client virtual machine.
"""
vm.AuthenticateVm()
vm.Install('iperf3')
# Dependencies for cloudharmony wrapper
vm.Install('php')
vm.InstallPackages('gnuplot wkhtmltopdf xvfb zip')
vm.RemoteCommand(f'git clone --recur... | Prepares the server and the client.
Args:
vm: the server or client virtual machine.
| _PrepareVm | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_iperf_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_iperf_benchmark.py | Apache-2.0 |
def _Run(benchmark_spec):
"""Runs cloudharmony iperf from cloudharmony harness."""
vm_groups = benchmark_spec.vm_groups
client = vm_groups['client'][0]
servers = vm_groups['server']
ports = list(range(_PORT, _PORT + _IPERF_CONCURRENCY.value))
ports_str = ':'.join([str(port) for port in ports])
server_port... | Runs cloudharmony iperf from cloudharmony harness. | _Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_iperf_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_iperf_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Runs cloudharmony iperf and reports the results."""
cloud_harmony_metadata = _Run(benchmark_spec)
samples = cloud_harmony_util.GetMetadataSamples(cloud_harmony_metadata)
# format pkb-style samples
for result_row in cloud_harmony_metadata:
for metric in _CLOUDHARMONY_IPERF_METR... | Runs cloudharmony iperf and reports the results. | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_iperf_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_iperf_benchmark.py | Apache-2.0 |
def _GetMetricUnit(metric_name):
"""Returns the appropriate units for the given metric."""
metric_type = metric_name.split('_')[0]
if metric_type == 'bandwidth':
return 'Mbits/sec'
if metric_type == 'jitter':
return 'ms'
if metric_type == 'loss':
return '%' | Returns the appropriate units for the given metric. | _GetMetricUnit | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_iperf_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_iperf_benchmark.py | Apache-2.0 |
def CheckPrerequisites(_):
"""Verifies that the required resources are present.
Raises NotImplementedError.
"""
# currently only support GCS object storage
# TODO(user): add AWS & Azure support for object storage
if FLAGS.ch_network_test_service_type == STORAGE and FLAGS.cloud != 'GCP':
raise NotImplem... | Verifies that the required resources are present.
Raises NotImplementedError.
| CheckPrerequisites | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | Apache-2.0 |
def GetConfig(user_config):
"""Update client zone and server zone in configuration.
Args:
user_config: The user configuration.
Returns:
Updated configuration.
"""
config = configs.LoadConfig(BENCHMARK_CONFIG, user_config, BENCHMARK_NAME)
config['vm_groups']['client']['vm_spec'][FLAGS.cloud][
... | Update client zone and server zone in configuration.
Args:
user_config: The user configuration.
Returns:
Updated configuration.
| GetConfig | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | Apache-2.0 |
def _PrepareServer(vm):
"""Prepares the web servers.
Args:
vm: the server virtual machine.
"""
vm.Install(NGINX)
# Required to make uplink test function properly
vm.RemoteCommand(
r'sudo sed -i "/server_name _;/a error_page 405 =200 \$uri;"'
r' /etc/nginx/sites-enabled/default'
)
vm.R... | Prepares the web servers.
Args:
vm: the server virtual machine.
| _PrepareServer | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | Apache-2.0 |
def _PrepareBucket(benchmark_spec):
"""Prepares the GCS bucket for object storage test.
First creates a bucket in the specified bucket region. Then populates the test
bucket with contents of https://github.com/cloudharmony/web-probe as well as
larger generated test files. The new bucket is saved to later be se... | Prepares the GCS bucket for object storage test.
First creates a bucket in the specified bucket region. Then populates the test
bucket with contents of https://github.com/cloudharmony/web-probe as well as
larger generated test files. The new bucket is saved to later be set as the
test endpoint for the object s... | _PrepareBucket | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | Apache-2.0 |
def ParseOutput(cloud_harmony_metadata):
"""Parse CSV output from CloudHarmony network benchmark.
Args:
cloud_harmony_metadata: cloud harmony network metadata.
Returns:
A list of sample.Sample object.
Raises:
Benchmarks.RunError: If correct operation is not validated.
"""
# If one run in iter... | Parse CSV output from CloudHarmony network benchmark.
Args:
cloud_harmony_metadata: cloud harmony network metadata.
Returns:
A list of sample.Sample object.
Raises:
Benchmarks.RunError: If correct operation is not validated.
| ParseOutput | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | Apache-2.0 |
def _AddComputeMetadata(client, server, metadata):
"""Updates the metadata with network compute metadata."""
compute_metadata = {
# test_instance_id, test_region and meta_os_info are informational and
# used in conjunction with saving results.
'test_instance_id': server.machine_type,
'test_r... | Updates the metadata with network compute metadata. | _AddComputeMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | Apache-2.0 |
def _AddStorageMetadata(vm, metadata):
"""Updates the metadata with object storage metadata."""
storage_metadata = {
'test_instance_id': '',
'test_region': cloud_harmony_util.GetRegionFromZone(ENDPOINT_ZONE.value),
'meta_instance_id': vm.machine_type,
'meta_region': cloud_harmony_util.GetReg... | Updates the metadata with object storage metadata. | _AddStorageMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | Apache-2.0 |
def _Run(benchmark_spec, test):
"""Runs cloudharmony network and reports the results."""
vm_groups = benchmark_spec.vm_groups
metadata = {
'test_service_type': FLAGS.ch_network_test_service_type,
'test': test,
'throughput_size': FLAGS.ch_network_throughput_size,
'throughput_threads': FLAGS... | Runs cloudharmony network and reports the results. | _Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec):
"""Cleanup any artifacts left by the benchmark."""
if FLAGS.ch_network_test_service_type != STORAGE or not hasattr(
benchmark_spec, 'service'
):
logging.info(
'Skipping cleanup as not needed or storage prepare method failed.'
)
return
service = benchmark_sp... | Cleanup any artifacts left by the benchmark. | Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudharmony_network_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install docker. Pull images. Start the master and slaves.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
master = benchmark_spec.vm_groups['master'][0]
slaves = benchmark_spec.vm_groups['slaves']
def... | Install docker. Pull images. Start the master and slaves.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_data_analytics_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_data_analytics_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run the data analytics benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
master = benchmark_spec.vm_groups['master'][0]
results = []
stdout, _ = m... | Run the data analytics benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_data_analytics_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_data_analytics_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec):
"""Stop and remove docker containers. Remove images.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
master = benchmark_spec.vm_groups['master'][0]
slaves = benchmark_spec.vm_groups['slaves']
def Cleanup... | Stop and remove docker containers. Remove images.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_data_analytics_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_data_analytics_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install docker. Pull the required images from DockerHub. Create datasets.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
server_vm = benchmark_spec.vm_groups['server'][0]
client_vm = benchmark_spec.vm_g... | Install docker. Pull the required images from DockerHub. Create datasets.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_data_caching_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_data_caching_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run the data-caching benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
client_vm = benchmark_spec.vm_groups['client'][0]
benchmark_cmd = (
'su... | Run the data-caching benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_data_caching_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_data_caching_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Prepare docker containers and set the dataset up.
Install docker. Pull the required images from DockerHub.
Create a table into server-seed and load the dataset.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.... | Prepare docker containers and set the dataset up.
Install docker. Pull the required images from DockerHub.
Create a table into server-seed and load the dataset.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_data_serving_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_data_serving_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run the data_serving benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
server_seed = benchmark_spec.vm_groups['server_seed'][0]
servers = benchmark_s... | Run the data_serving benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_data_serving_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_data_serving_benchmark.py | Apache-2.0 |
def GetConfig(user_config):
"""Reads the config file and overwrites vm_count with num_vms."""
config = configs.LoadConfig(BENCHMARK_CONFIG, user_config, BENCHMARK_NAME)
if FLAGS['num_vms'].present:
config['vm_groups']['workers']['vm_count'] = FLAGS.num_vms
return config | Reads the config file and overwrites vm_count with num_vms. | GetConfig | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_graph_analytics_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_graph_analytics_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install docker.
Pull the required images from DockerHub, create datasets, and
start Spark master and workers.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
master = benchmark_spec.vm_groups['master'... | Install docker.
Pull the required images from DockerHub, create datasets, and
start Spark master and workers.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_graph_analytics_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_graph_analytics_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run the graph analytics benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
master = benchmark_spec.vm_groups['master'][0]
results = []
memory_option... | Run the graph analytics benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_graph_analytics_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_graph_analytics_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install docker. Pull images. Create datasets. Start master and workers.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
master = benchmark_spec.vm_groups['master'][0]
workers = benchmark_spec.vm_groups['... | Install docker. Pull images. Create datasets. Start master and workers.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_in_memory_analytics_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_in_memory_analytics_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run the in-memory analytics benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
master = benchmark_spec.vm_groups['master'][0]
results = []
benchmar... | Run the in-memory analytics benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_in_memory_analytics_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_in_memory_analytics_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install docker. Pull images. Create datasets. Start Nginx server.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
server = benchmark_spec.vm_groups['server'][0]
client = benchmark_spec.vm_groups['client'... | Install docker. Pull images. Create datasets. Start Nginx server.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_media_streaming_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_media_streaming_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run the media streaming benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
server = benchmark_spec.vm_groups['server'][0]
client = benchmark_spec.vm_g... | Run the media streaming benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_media_streaming_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_media_streaming_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install docker. Pull the required images from DockerHub.
Start Solr index node and client.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
servers = benchmark_spec.vm_groups['servers'][0]
clients = be... | Install docker. Pull the required images from DockerHub.
Start Solr index node and client.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_web_search_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_web_search_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run the Web Search benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
clients = benchmark_spec.vm_groups['clients'][0]
servers = benchmark_spec.vm_gro... | Run the Web Search benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_web_search_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_web_search_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install docker. Pull images. Start nginx, mysql, and memcached.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
frontend = benchmark_spec.vm_groups['frontend'][0]
backend = benchmark_spec.vm_groups['back... | Install docker. Pull images. Start nginx, mysql, and memcached.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_web_serving_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_web_serving_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run the web serving benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
frontend = benchmark_spec.vm_groups['frontend'][0]
client = benchmark_spec.vm_g... | Run the web serving benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloudsuite_web_serving_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloudsuite_web_serving_benchmark.py | Apache-2.0 |
def _GetDefaultProject() -> str:
"""Returns the default project used for this test."""
cmd = [FLAGS.gcloud_path, 'config', 'list', '--format', 'json']
stdout, _, return_code = vm_util.IssueCommand(cmd)
if return_code:
raise subprocess.CalledProcessError(return_code, cmd, stdout)
config = json.loads(stdou... | Returns the default project used for this test. | _GetDefaultProject | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def _Install(vm: virtual_machine.VirtualMachine, bigtable: _Bigtable) -> None:
"""Install YCSB and CBT HBase client on 'vm'."""
vm.Install('ycsb')
vm.Install('google_cloud_cbt') # we use the CLI to create and delete tables
vm.Install('maven')
if _ENABLE_TRAFFIC_DIRECTOR.value and _USE_JAVA_VENEER_CLIENT.val... | Install YCSB and CBT HBase client on 'vm'. | _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def _GetCpuUtilizationSample(
samples: List[sample.Sample], instance_id: str
) -> List[sample.Sample]:
"""Gets a list of cpu utilization samples - one per cluster per workload.
Note that the utilization only covers the workload run stage.
Args:
samples: list of sample.Sample. Used to find the timestamp ... | Gets a list of cpu utilization samples - one per cluster per workload.
Note that the utilization only covers the workload run stage.
Args:
samples: list of sample.Sample. Used to find the timestamp information to
determine the time windows for the cpu metrics.
instance_id: the bigtable instance id.
... | _GetCpuUtilizationSample | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec: bm_spec.BenchmarkSpec) -> None:
"""Prepare the virtual machines to run cloud bigtable.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
benchmark_spec.always_call_cleanup = True
vms = benchmark_spec.vms
in... | Prepare the virtual machines to run cloud bigtable.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def _GetYcsbExecutor(
vms: list[virtual_machine.VirtualMachine],
) -> ycsb.YCSBExecutor:
"""Gets the YCSB executor class for loading and running the benchmark."""
ycsb_memory = min(vms[0].total_memory_kb // 1024, 4096)
jvm_args = pipes.quote(f' -Xmx{ycsb_memory}m')
env = {}
if _ENABLE_DIRECT_PATH.value:
... | Gets the YCSB executor class for loading and running the benchmark. | _GetYcsbExecutor | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def _LoadDatabase(
executor: ycsb.YCSBExecutor,
bigtable: gcp_bigtable.GcpBigtableInstance,
vms: list[virtual_machine.VirtualMachine],
load_kwargs: dict[str, Any],
) -> list[sample.Sample]:
"""Loads the database with the specified infrastructure capacity."""
if bigtable.restored or ycsb.SKIP_LOAD_ST... | Loads the database with the specified infrastructure capacity. | _LoadDatabase | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def _CommonArgs(instance: _Bigtable) -> Dict[str, str]:
"""Generates args for both run/load for YCSB.
Args:
instance: The instance the test will be run against.
Returns:
Arguments dict for YCSB.
"""
kwargs = {'columnfamily': COLUMN_FAMILY}
if _USE_JAVA_VENEER_CLIENT.value:
# Temporary until o... | Generates args for both run/load for YCSB.
Args:
instance: The instance the test will be run against.
Returns:
Arguments dict for YCSB.
| _CommonArgs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def _GenerateRunKwargs(instance: _Bigtable) -> Dict[str, str]:
"""Generates run arguments for YCSB.
Args:
instance: The instance the test will be run against.
Returns:
Run arguments for YCSB.
"""
run_kwargs = _CommonArgs(instance)
if _USE_JAVA_VENEER_CLIENT.value and _USE_UPGRADED_DRIVER.value:
... | Generates run arguments for YCSB.
Args:
instance: The instance the test will be run against.
Returns:
Run arguments for YCSB.
| _GenerateRunKwargs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def _GenerateLoadKwargs(instance: _Bigtable) -> Dict[str, str]:
"""Generates load arguments for YCSB.
Args:
instance: The instance the test will be run against.
Returns:
Load arguments for YCSB.
"""
load_kwargs = _CommonArgs(instance)
if _USE_JAVA_VENEER_CLIENT.value and _USE_UPGRADED_DRIVER.val... | Generates load arguments for YCSB.
Args:
instance: The instance the test will be run against.
Returns:
Load arguments for YCSB.
| _GenerateLoadKwargs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def _CreateTable(benchmark_spec: bm_spec.BenchmarkSpec):
"""Creates a table when not using a static (ie user managed) table.
If the table is user-managed, this is a no-op.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
instance: _Big... | Creates a table when not using a static (ie user managed) table.
If the table is user-managed, this is a no-op.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| _CreateTable | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def _CleanupTable(benchmark_spec: bm_spec.BenchmarkSpec):
"""Deletes a table under a user managed instance.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vm = benchmark_spec.vms[0]
instance: _Bigtable = benchmark_spec.non_relational_... | Deletes a table under a user managed instance.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| _CleanupTable | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_bigtable_ycsb_benchmark.py | Apache-2.0 |
def RampUpLoad(
ycsb_executor: ycsb.YCSBExecutor,
vms: list[virtual_machine.VirtualMachine],
load_kwargs: dict[str, str] = None,
) -> None:
"""Loads YCSB by gradually incrementing target QPS.
Note that this requires clients to be overprovisioned, as the target QPS
for YCSB is generally a "throttling"... | Loads YCSB by gradually incrementing target QPS.
Note that this requires clients to be overprovisioned, as the target QPS
for YCSB is generally a "throttling" mechanism where the threads try to send
as much QPS as possible and then get throttled. If clients are
underprovisioned then it's possible for the run t... | RampUpLoad | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_datastore_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_datastore_ycsb_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Prepare the virtual machines to run cloud datastore.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vms = benchmark_spec.vms
# Install required packages and copy credential files
background_tasks.Run... | Prepare the virtual machines to run cloud datastore.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_datastore_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_datastore_ycsb_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Prepare the cloud redis instance for memtier tasks.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
benchmark_spec.always_call_cleanup = True
memtier_vms = benchmark_spec.vm_groups['clients']
backgrou... | Prepare the cloud redis instance for memtier tasks.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_redis_memtier_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_redis_memtier_benchmark.py | Apache-2.0 |
def _GetConnections(
vms: list[_LinuxVm], redis_instance: _ManagedRedis
) -> list[memtier.MemtierConnection]:
"""Gets a list of connections mapping client VMs to shards."""
if len(vms) == 1:
return [
memtier.MemtierConnection(
vms[0],
redis_instance.GetMemoryStoreIp(),
... | Gets a list of connections mapping client VMs to shards. | _GetConnections | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_redis_memtier_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_redis_memtier_benchmark.py | Apache-2.0 |
def _MeasureMemtierDistribution(
redis_instance: _ManagedRedis,
vms: list[_LinuxVm],
) -> list[sample.Sample]:
"""Runs and reports stats across a series of memtier runs."""
connections = _GetConnections(vms, redis_instance)
return memtier.MeasureLatencyCappedThroughputDistribution(
connections,
... | Runs and reports stats across a series of memtier runs. | _MeasureMemtierDistribution | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_redis_memtier_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_redis_memtier_benchmark.py | Apache-2.0 |
def _Run(vms: list[_LinuxVm], redis_instance: _ManagedRedis):
"""Runs memtier based on provided flags."""
if memtier.MEMTIER_RUN_MODE.value == memtier.MemtierMode.MEASURE_CPU_LATENCY:
return memtier.RunGetLatencyAtCpu(redis_instance, vms)
if memtier.MEMTIER_LATENCY_CAPPED_THROUGHPUT.value:
if memtier.MEMT... | Runs memtier based on provided flags. | _Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_redis_memtier_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_redis_memtier_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run benchmark and collect samples.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample instances.
"""
memtier_vms = benchmark_spec.vm_groups['clients']
redis_instance: _Manage... | Run benchmark and collect samples.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample instances.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_redis_memtier_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_redis_memtier_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Prepare the cloud redis instance to YCSB tasks.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
benchmark_spec.always_call_cleanup = True
ycsb_vms = benchmark_spec.vm_groups['clients']
background_task... | Prepare the cloud redis instance to YCSB tasks.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_redis_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_redis_ycsb_benchmark.py | Apache-2.0 |
def CheckPrerequisites(_):
"""Validates correct flag usages before running this benchmark."""
for scope in REQUIRED_SCOPES:
if scope not in FLAGS.gcloud_scopes:
raise ValueError('Scope {} required.'.format(scope))
if ycsb.CPU_OPTIMIZATION.value and (
ycsb.CPU_OPTIMIZATION_MEASUREMENT_MINS.value
... | Validates correct flag usages before running this benchmark. | CheckPrerequisites | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cloud_spanner_ycsb_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cloud_spanner_ycsb_benchmark.py | Apache-2.0 |
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