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 Prepare(benchmark_spec):
"""Prepare the virtual machines to run cloud spanner benchmarks.
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
# Install required pac... | Prepare the virtual machines to run cloud spanner benchmarks.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | 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 |
def _BuildSchema():
"""BuildSchema.
Returns:
A string of DDL for creating a Spanner table.
"""
fields = ',\n'.join(
[f'field{i} STRING(MAX)' for i in range(FLAGS.ycsb_field_count)]
)
return f"""
CREATE TABLE {BENCHMARK_TABLE} (
id STRING(MAX),
{fields}
) PRIMARY KEY(id)
""" | BuildSchema.
Returns:
A string of DDL for creating a Spanner table.
| _BuildSchema | 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 |
def PrepareStartupScript() -> Tuple[str, int | None, str]:
"""Prepare startup script which will be ran as part of VM booting process."""
port = _TCPDUMP_PORT.value
if CollectNetworkSamples():
if not port:
# If not specified, find a free port and close so it can be used by
# tcpdump.
sock = s... | Prepare startup script which will be ran as part of VM booting process. | PrepareStartupScript | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | Apache-2.0 |
def GetTimeToBoot(vms):
"""Creates Samples for the boot time of a list of VMs.
The time to create async return is the time difference from before the VM is
created to when the asynchronous create call returns.
The time to running is the time difference from before the VM is created to
when the VM is in the ... | Creates Samples for the boot time of a list of VMs.
The time to create async return is the time difference from before the VM is
created to when the asynchronous create call returns.
The time to running is the time difference from before the VM is created to
when the VM is in the 'running' state as determined... | GetTimeToBoot | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | Apache-2.0 |
def _MeasureReboot(vms):
"""Measures the time to reboot the cluster of VMs.
Args:
vms: List of BaseVirtualMachine subclasses.
Returns:
List of Samples containing the reboot times and an overall cluster reboot
time.
"""
before_reboot_timestamp = time.time()
reboot_times = background_tasks.RunTh... | Measures the time to reboot the cluster of VMs.
Args:
vms: List of BaseVirtualMachine subclasses.
Returns:
List of Samples containing the reboot times and an overall cluster reboot
time.
| _MeasureReboot | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | Apache-2.0 |
def MeasureDelete(
vms: List[virtual_machine.BaseVirtualMachine],
) -> List[sample.Sample]:
"""Measures the time to delete the cluster of VMs.
Args:
vms: List of BaseVirtualMachine subclasses.
Returns:
List of Samples containing the delete times and an overall cluster delete
time.
"""
# Only... | Measures the time to delete the cluster of VMs.
Args:
vms: List of BaseVirtualMachine subclasses.
Returns:
List of Samples containing the delete times and an overall cluster delete
time.
| MeasureDelete | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | Apache-2.0 |
def _GetVmOperationDataSamples(
operation_times: List[int],
cluster_time: float,
operation: str,
vms: List[virtual_machine.BaseVirtualMachine],
) -> List[sample.Sample]:
"""Append samples from given data.
Args:
operation_times: The list of times for each vms.
cluster_time: The cluster time ... | Append samples from given data.
Args:
operation_times: The list of times for each vms.
cluster_time: The cluster time for the benchmark.
operation: The benchmark operation being run, capitalized with no spaces.
vms: list of virtual machines.
Returns:
List of samples constructed from data.
| _GetVmOperationDataSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Measure the boot time for all VMs.
Args:
benchmark_spec: The benchmark specification.
Returns:
An empty list (all boot samples will be added later).
"""
samples = []
if _LINUX_BOOT_METRICS.value or CollectNetworkSamples():
for vm in benchmark_spec.vms:
samples... | Measure the boot time for all VMs.
Args:
benchmark_spec: The benchmark specification.
Returns:
An empty list (all boot samples will be added later).
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec):
"""Kill tcpdump process and upload and/or delete tcpdump output file.
Args:
benchmark_spec: The benchmark specification.
"""
if CollectNetworkSamples():
pid = benchmark_spec.config.temporary['tcpdump_pid']
logging.info('Terminating tcpdump process %s', pid)
try:
... | Kill tcpdump process and upload and/or delete tcpdump output file.
Args:
benchmark_spec: The benchmark specification.
| Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run netperf TCP_STREAM between containers.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
samples = []
cluster = benchmark_spec.container_cluster
container... | Run netperf TCP_STREAM between containers.
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/container_netperf_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/container_netperf_benchmark.py | Apache-2.0 |
def GetConfig(user_config):
"""Decide number of vms needed and return information for copy benchmark."""
if FLAGS.copy_benchmark_mode == 'dd' and FLAGS.copy_benchmark_single_file_mb:
raise errors.Setup.InvalidFlagConfigurationError(
'Flag copy_benchmark_single_file_mb is not supported when flag '
... | Decide number of vms needed and return information for copy benchmark. | GetConfig | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | Apache-2.0 |
def PrepareDataFile(vm, data_size_in_mb):
"""Generate data file on vm to destination directory.
Args:
vm: The VM which needs the data file.
data_size_in_mb: The size of the data file in MB.
"""
file_path = data.ResourcePath(DATA_FILE)
vm.PushFile(file_path, '%s/' % vm.GetScratchDir(0))
if data_size... | Generate data file on vm to destination directory.
Args:
vm: The VM which needs the data file.
data_size_in_mb: The size of the data file in MB.
| PrepareDataFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Prepare vms with additional scratch disks and create vms for scp.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vms = benchmark_spec.vms
background_tasks.RunThreaded(PreparePrivateKey, vms)
args = [... | Prepare vms with additional scratch disks and create vms for scp.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | Apache-2.0 |
def RunCp(vms, data_size_in_mb, metadata):
"""Runs cp benchmarks and parses results.
Args:
vms: The VMs running cp benchmarks.
data_size_in_mb: The size of the data file in MB.
metadata: The base metadata to attach to the sample.
Returns:
A list of sample.Sample objects.
"""
cmd = (
'r... | Runs cp benchmarks and parses results.
Args:
vms: The VMs running cp benchmarks.
data_size_in_mb: The size of the data file in MB.
metadata: The base metadata to attach to the sample.
Returns:
A list of sample.Sample objects.
| RunCp | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | Apache-2.0 |
def RunDd(vms, data_size_in_mb, metadata):
"""Run dd benchmark and parses results.
Args:
vms: The VMs running dd benchmarks.
data_size_in_mb: The size of the data file in MB.
metadata: The metadata to attach to the sample.
Returns:
A list of samples. Each sample is a 4-tuple of (benchmark_name, ... | Run dd benchmark and parses results.
Args:
vms: The VMs running dd benchmarks.
data_size_in_mb: The size of the data file in MB.
metadata: The metadata to attach to the sample.
Returns:
A list of samples. Each sample is a 4-tuple of (benchmark_name, value, unit,
metadata), as accepted by PerfK... | RunDd | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | Apache-2.0 |
def ChooseSshCipher(vms):
"""Returns the most-preferred cipher that's available to all vms."""
available = functools.reduce(
lambda a, b: a & b, [AvailableCiphers(vm) for vm in vms]
)
for cipher in CIPHERS:
if cipher in available:
return cipher
raise Exception(
'None of the preferred cip... | Returns the most-preferred cipher that's available to all vms. | ChooseSshCipher | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | Apache-2.0 |
def RunScp(vms, data_size_in_mb, metadata):
"""Run scp benchmark.
Args:
vms: The vms running scp commands.
data_size_in_mb: The size of the data file in MB.
metadata: The metadata to attach to the sample.
Returns:
A list of samples. Each sample is a 4-tuple of (benchmark_name, value, unit,
m... | Run scp benchmark.
Args:
vms: The vms running scp commands.
data_size_in_mb: The size of the data file in MB.
metadata: The metadata to attach to the sample.
Returns:
A list of samples. Each sample is a 4-tuple of (benchmark_name, value, unit,
metadata), as accepted by PerfKitBenchmarkerPublis... | RunScp | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | Apache-2.0 |
def RunScpSingleDirection(
sending_vm, receiving_vm, cipher, data_size_in_mb, base_metadata
):
"""Run scp from sending_vm to receiving_vm and parse results.
If 'receiving_vm' is accessible via internal IP from 'sending_vm', throughput
over internal IP addresses will be tested in addition to external IP
add... | Run scp from sending_vm to receiving_vm and parse results.
If 'receiving_vm' is accessible via internal IP from 'sending_vm', throughput
over internal IP addresses will be tested in addition to external IP
addresses.
Args:
sending_vm: The originating VM for the scp command.
receiving_vm: The destinati... | RunScpSingleDirection | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | Apache-2.0 |
def RunForIpAddress(ip_address, ip_type):
"""Run SCP benchmark against a destination IP address."""
target_dir = posixpath.join(receiving_vm.GetScratchDir(0), ip_type)
cmd = cmd_template % (ip_address, target_dir)
receiving_vm.RemoteCommand('mkdir %s' % target_dir)
meta = metadata.copy()
meta['i... | Run SCP benchmark against a destination IP address. | RunForIpAddress | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run cp/scp on target vms.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of throughput samples. Each sample contains
the sample metric (string), value (float), unit (string), and metadata... | Run cp/scp on target vms.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of throughput samples. Each sample contains
the sample metric (string), value (float), unit (string), and metadata
(dict).
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/copy_throughput_benchmark.py | Apache-2.0 |
def PrepareCoremark(remote_command):
"""Prepares coremark on a VM.
Args:
remote_command: Function to run a remote command on the VM.
"""
if _COREMARK_PARALLELISM_METHOD.value == PARALLELISM_PTHREAD:
remote_command(
'sed -i -e "s/LFLAGS_END += -lrt/LFLAGS_END += -lrt -lpthread/g" %s/%s'
... | Prepares coremark on a VM.
Args:
remote_command: Function to run a remote command on the VM.
| PrepareCoremark | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/coremark_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/coremark_benchmark.py | Apache-2.0 |
def RunCoremark(remote_command, thread_count):
"""Runs coremark on the VM.
Args:
remote_command: Function to run a remote command on the VM.
thread_count: Number of threads to use.
Returns:
A list of sample.Sample objects with the performance results.
"""
remote_command(
'cd %s;make PORT_D... | Runs coremark on the VM.
Args:
remote_command: Function to run a remote command on the VM.
thread_count: Number of threads to use.
Returns:
A list of sample.Sample objects with the performance results.
| RunCoremark | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/coremark_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/coremark_benchmark.py | Apache-2.0 |
def _ParseOutputForSamples(output, thread_count):
"""Parses the output from running Coremark to get performance samples.
Args:
output: The output from running Coremark.
thread_count: Number of threads used.
Returns:
A list of sample.Sample objects.
Raises:
Benchmarks.RunError: If correct oper... | Parses the output from running Coremark to get performance samples.
Args:
output: The output from running Coremark.
thread_count: Number of threads used.
Returns:
A list of sample.Sample objects.
Raises:
Benchmarks.RunError: If correct operation is not validated.
| _ParseOutputForSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/coremark_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/coremark_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Runs Coremark on the target vm.
Args:
benchmark_spec: The benchmark specification.
Returns:
A list of sample.Sample objects with the performance results.
Raises:
Benchmarks.RunError: If correct operation is not validated.
"""
vm = benchmark_spec.vms[0]
output_sam... | Runs Coremark on the target vm.
Args:
benchmark_spec: The benchmark specification.
Returns:
A list of sample.Sample objects with the performance results.
Raises:
Benchmarks.RunError: If correct operation is not validated.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/coremark_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/coremark_benchmark.py | Apache-2.0 |
def CleanupCoremark(remote_command):
"""Cleans up the coremark installation.
Args:
remote_command: Function to run a remote command on the VM.
"""
remote_command('rm -rf %s' % COREMARK_DIR)
remote_command('rm -f %s' % coremark.COREMARK_TAR) | Cleans up the coremark installation.
Args:
remote_command: Function to run a remote command on the VM.
| CleanupCoremark | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/coremark_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/coremark_benchmark.py | Apache-2.0 |
def Run(benchmark_spec: bm_spec.BenchmarkSpec) -> list[sample.Sample]:
"""Runs the cryptsetup benchmark and returns a dict of performance data.
Args:
benchmark_spec: The benchmark spec for this sample benchmark.
Returns:
A list of performance samples.
"""
vm = benchmark_spec.vms[0]
# TODO(user): I... | Runs the cryptsetup benchmark and returns a dict of performance data.
Args:
benchmark_spec: The benchmark spec for this sample benchmark.
Returns:
A list of performance samples.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cryptsetup_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cryptsetup_benchmark.py | Apache-2.0 |
def Prepare(bm_spec: benchmark_spec.BenchmarkSpec) -> None:
"""Install and set up CUDA memcpy on the target vm.
Args:
bm_spec: The benchmark specification
"""
background_tasks.RunThreaded(
lambda vm: vm.Install('cuda_samples'), bm_spec.vms
) | Install and set up CUDA memcpy on the target vm.
Args:
bm_spec: The benchmark specification
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cuda_memcpy_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cuda_memcpy_benchmark.py | Apache-2.0 |
def _MetadataFromFlags() -> Dict[str, Any]:
"""Returns metadata dictionary from flag settings."""
return {
'memory': _MEMORY.value,
'mode': _MODE.value,
'htod': _HTOD.value,
'dtoh': _DTOH.value,
'dtod': _DTOD.value,
'wc': _WC.value,
} | Returns metadata dictionary from flag settings. | _MetadataFromFlags | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cuda_memcpy_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cuda_memcpy_benchmark.py | Apache-2.0 |
def _CollectGpuSamples(
vm: virtual_machine.BaseVirtualMachine,
) -> List[sample.Sample]:
"""Run CUDA memcpy on the cluster.
Args:
vm: The virtual machine to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
if not nvidia_driver.CheckNvidiaSmiExists(vm):
return []
global_met... | Run CUDA memcpy on the cluster.
Args:
vm: The virtual machine to run the benchmark.
Returns:
A list of sample.Sample objects.
| _CollectGpuSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/cuda_memcpy_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/cuda_memcpy_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run the DaCapo benchmark on the vms.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A singleton list of sample.Sample objects containing the DaCapo benchmark
run time (in msec).
Raises:
err... | Run the DaCapo benchmark on the vms.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A singleton list of sample.Sample objects containing the DaCapo benchmark
run time (in msec).
Raises:
errors.Benchmarks.RunError if the... | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dacapo_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dacapo_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec):
"""Cleanup the DaCapo benchmark on the target vm (by uninstalling).
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
benchmark_spec.vms[0].RemoteCommand(
'rm -rf %s' % os.path.join(linux_packages.INSTALL... | Cleanup the DaCapo benchmark 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/dacapo_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dacapo_benchmark.py | Apache-2.0 |
def Run(benchmark_spec: bm_spec.BenchmarkSpec) -> List[sample.Sample]:
"""Runs the data discovery benchmark.
This benchmark measures the time it took for the data discovery service to
discover the data at the location given in the --data_discovery_path flag and
reports it as a sample.
Args:
benchmark_sp... | Runs the data discovery benchmark.
This benchmark measures the time it took for the data discovery service to
discover the data at the location given in the --data_discovery_path flag and
reports it as a sample.
Args:
benchmark_spec: Spec needed to run the data discovery benchmark.
Returns:
A list ... | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/data_discovery_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/data_discovery_benchmark.py | Apache-2.0 |
def Prepare(bm_spec: benchmark_spec.BenchmarkSpec) -> None:
"""Install and set up Dino benchmark on the target vm.
Args:
bm_spec: The benchmark specification
"""
vm = bm_spec.vms[0]
vm.Install('cuda_toolkit')
data_dir = vm.scratch_disks[0].mount_point
vm.DownloadPreprovisionedData(data_dir, 'imagenet... | Install and set up Dino benchmark on the target vm.
Args:
bm_spec: The benchmark specification
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dino_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dino_benchmark.py | Apache-2.0 |
def MakeSamplesFromOutput(output: str) -> List[sample.Sample]:
"""Create samples containing metrics.
Args:
output: string, command output
Returns:
Samples containing training metrics, and the bandwidth
"""
samples = []
results = regex_util.ExtractAllMatches(
(
r'Epoch: \[(\d+)/(\d+... | Create samples containing metrics.
Args:
output: string, command output
Returns:
Samples containing training metrics, and the bandwidth
| MakeSamplesFromOutput | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dino_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dino_benchmark.py | Apache-2.0 |
def Run(benchmark_spec: bm_spec.BenchmarkSpec) -> list[sample.Sample]:
"""Run the benchmark using the runner VM to manage snapshots."""
vms = benchmark_spec.vm_groups['server']
all_samples = []
all_vm_samples_before_run = background_tasks.RunThreaded(
lambda vm: CreateSnapshotOnVM(vm, 1), vms
)
for sa... | Run the benchmark using the runner VM to manage snapshots. | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/disk_snapshot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/disk_snapshot_benchmark.py | Apache-2.0 |
def CreateSnapshotOnVM(
vm: linux_virtual_machine.BaseLinuxVirtualMachine,
snapshot_num: int = 1,
) -> list[sample.Sample]:
"""Create a snapshot on the given vm."""
used_disk_size, _ = vm.RemoteCommand(
'df -h | grep ".*/var/lib/mysql" | awk \'{print $3}\''
)
logging.info('Create snapshot on %s', ... | Create a snapshot on the given vm. | CreateSnapshotOnVM | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/disk_snapshot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/disk_snapshot_benchmark.py | Apache-2.0 |
def Prepare(bm_spec: benchmark_spec.BenchmarkSpec) -> None:
"""Installs and sets up MLPerf Inference on the target vm.
Args:
bm_spec: The benchmark specification
Raises:
errors.Config.InvalidValue upon both GPUs and TPUs appear in the config
"""
vm = bm_spec.vms[0]
vm.Install('dlrm')
vm.InstallP... | Installs and sets up MLPerf Inference on the target vm.
Args:
bm_spec: The benchmark specification
Raises:
errors.Config.InvalidValue upon both GPUs and TPUs appear in the config
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dlrm_amd_cpu_inference_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dlrm_amd_cpu_inference_benchmark.py | Apache-2.0 |
def CheckPrerequisites(benchmark_config):
"""Verifies that the required resources are present.
Args:
benchmark_config: Config needed to run the dpb cluster boot benchmark.
Raises:
perfkitbenchmarker.errors.Config.InvalidValue: On encountering invalid
configuration.
"""
dpb_service_type = benchma... | Verifies that the required resources are present.
Args:
benchmark_config: Config needed to run the dpb cluster boot benchmark.
Raises:
perfkitbenchmarker.errors.Config.InvalidValue: On encountering invalid
configuration.
| CheckPrerequisites | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_cluster_boot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_cluster_boot_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Runs the dpb cluster boot benchmark.
The benchmark computes and publishes the time taken from the issuance of
cluster creation command till the cluster is ready to accept jobs for
processing.
Args:
benchmark_spec: Spec needed to run the dpb cluster boot benchmark
Returns:
... | Runs the dpb cluster boot benchmark.
The benchmark computes and publishes the time taken from the issuance of
cluster creation command till the cluster is ready to accept jobs for
processing.
Args:
benchmark_spec: Spec needed to run the dpb cluster boot benchmark
Returns:
A list of samples, compris... | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_cluster_boot_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_cluster_boot_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Snapshot Pub/Sub input subscription to later restore at end of test."""
suffix = ''.join(
random.choice(string.ascii_lowercase + string.digits) for i in range(6)
)
benchmark_spec.input_subscription_name = (
FLAGS.dpb_dataflow_template_input_subscription.split('/')[-1]... | Snapshot Pub/Sub input subscription to later restore at end of test. | Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_dataflow_template_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_dataflow_template_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Runs a Dataflow Template until input Pub/Sub topic is empty."""
template_gcs_location = FLAGS.dpb_dataflow_template_gcs_location
output_ptransform = FLAGS.dpb_dataflow_template_output_ptransform
input_pubsub_id = FLAGS.dpb_dataflow_template_input_subscription
input_pubsub_name = be... | Runs a Dataflow Template until input Pub/Sub topic is empty. | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_dataflow_template_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_dataflow_template_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec):
"""Restore Pub/Sub to its original state before test started."""
cmd = util.GcloudCommand(
None,
'pubsub',
'subscriptions',
'seek',
benchmark_spec.input_subscription_name,
)
cmd.flags = {
'project': util.GetDefaultProject(),
'snapshot': benc... | Restore Pub/Sub to its original state before test started. | Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_dataflow_template_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_dataflow_template_benchmark.py | Apache-2.0 |
def CheckPrerequisites(benchmark_config):
"""Verifies that the required resources are present.
Args:
benchmark_config: Configu to validate.
Raises:
perfkitbenchmarker.errors.Config.InvalidValue: On encountering invalid
configuration.
"""
dpb_service_type = benchmark_config.dpb_service.service_ty... | Verifies that the required resources are present.
Args:
benchmark_config: Configu to validate.
Raises:
perfkitbenchmarker.errors.Config.InvalidValue: On encountering invalid
configuration.
| CheckPrerequisites | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_distcp_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_distcp_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Runs distributed_copy benchmark and reports the results.
Args:
benchmark_spec: Spec needed to run the benchmark
Returns:
A list of samples
"""
run_uri = benchmark_spec.uuid.split('-')[0]
service = benchmark_spec.dpb_service
if FLAGS.distcp_source_fs == dpb_constants.... | Runs distributed_copy benchmark and reports the results.
Args:
benchmark_spec: Spec needed to run the benchmark
Returns:
A list of samples
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_distcp_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_distcp_benchmark.py | Apache-2.0 |
def CheckPrerequisites(benchmark_config):
"""Verifies that the required resources are present.
Args:
benchmark_config: Config needed to run the Spark SQL.
Raises:
Config.InvalidValue: On encountering invalid configuration.
"""
if not FLAGS.dpb_sparksql_data and FLAGS.dpb_sparksql_create_hive_tables:... | Verifies that the required resources are present.
Args:
benchmark_config: Config needed to run the Spark SQL.
Raises:
Config.InvalidValue: On encountering invalid configuration.
| CheckPrerequisites | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Installs and sets up dataset on the Spark clusters.
Copies scripts and all the queries to cloud.
Creates external Hive tables for data (unless BigQuery is being used).
Args:
benchmark_spec: The benchmark specification
"""
cluster = benchmark_spec.dpb_service
storage_s... | Installs and sets up dataset on the Spark clusters.
Copies scripts and all the queries to cloud.
Creates external Hive tables for data (unless BigQuery is being used).
Args:
benchmark_spec: The benchmark specification
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Runs a sequence of Spark SQL Query.
Args:
benchmark_spec: Spec needed to run the Spark SQL.
Returns:
A list of samples, comprised of the detailed run times of individual query.
Raises:
Benchmarks.RunError if no query succeeds.
"""
cluster = benchmark_spec.dpb_servi... | Runs a sequence of Spark SQL Query.
Args:
benchmark_spec: Spec needed to run the Spark SQL.
Returns:
A list of samples, comprised of the detailed run times of individual query.
Raises:
Benchmarks.RunError if no query succeeds.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def _GetSampleMetadata(benchmark_spec):
"""Gets metadata dict to be attached to exported benchmark samples/metrics."""
metadata = benchmark_spec.dpb_service.GetResourceMetadata()
metadata['benchmark'] = dpb_sparksql_benchmark_helper.BENCHMARK_NAMES[
FLAGS.dpb_sparksql_query
]
if FLAGS.bigquery_record_fo... | Gets metadata dict to be attached to exported benchmark samples/metrics. | _GetSampleMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def _RunQueries(benchmark_spec) -> tuple[str, dpb_service.JobResult]:
"""Runs queries. Returns storage path with metrics and JobResult object."""
cluster = benchmark_spec.dpb_service
report_dir = '/'.join([cluster.base_dir, f'report-{int(time.time()*1000)}'])
args = []
if FLAGS.dpb_sparksql_simultaneous:
... | Runs queries. Returns storage path with metrics and JobResult object. | _RunQueries | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def _GetQuerySamples(
storage_service: object_storage_service.ObjectStorageService,
report_dir: str,
job_result: dpb_service.JobResult,
base_metadata: MutableMapping[str, str],
) -> list[sample.Sample]:
"""Get Sample objects from job's logs."""
if _FETCH_RESULTS_FROM_LOGS.value:
query_results =... | Get Sample objects from job's logs. | _GetQuerySamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def _GetGlobalSamples(
query_samples: list[sample.Sample],
cluster: dpb_service.BaseDpbService,
job_result: dpb_service.JobResult,
metadata: MutableMapping[str, str],
) -> list[sample.Sample]:
"""Gets samples that summarize the whole benchmark run."""
run_times = {}
passing_queries = {}
for s i... | Gets samples that summarize the whole benchmark run. | _GetGlobalSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def _GetPrepareSamples(
benchmark_spec, metadata: MutableMapping[str, str]
) -> list[sample.Sample]:
"""Gets samples for Prepare stage statistics."""
samples = []
if benchmark_spec.queries_and_script_upload_time is not None:
samples.append(
sample.Sample(
'queries_and_script_upload_tim... | Gets samples for Prepare stage statistics. | _GetPrepareSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def _FetchResultsFromStorage(
storage_service: object_storage_service.ObjectStorageService,
report_dir: str,
) -> list[dict[str, Any]]:
"""Get Sample objects from metrics storage path."""
# Spark can only write data to directories not files. So do a recursive copy
# of that directory and then search it fo... | Get Sample objects from metrics storage path. | _FetchResultsFromStorage | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def _FetchResultsFromLogs(job_result: dpb_service.JobResult):
"""Get samples from job results logs."""
job_result.FetchOutput()
logs = '\n'.join([job_result.stdout or '', job_result.stderr])
query_results = _ParseResultsFromLogs(logs)
if query_results is None:
raise QueryResultsNotReadyError
return quer... | Get samples from job results logs. | _FetchResultsFromLogs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def _GetDistCpMetadata(base_dir: str, subdirs: List[str], extra_metadata=None):
"""Compute list of table metadata for spark_sql_distcp metadata flags."""
metadata = []
if not extra_metadata:
extra_metadata = {}
for subdir in subdirs or []:
metadata += [(
FLAGS.dpb_sparksql_data_format or 'parque... | Compute list of table metadata for spark_sql_distcp metadata flags. | _GetDistCpMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec: bm_spec.BenchmarkSpec):
"""Copies scripts and all the queries to cloud.
Args:
benchmark_spec: The benchmark specification
"""
cluster = benchmark_spec.dpb_service
storage_service = cluster.storage_service
benchmark_spec.staged_query = _LoadAndStageQueries(cluster)
scripts... | Copies scripts and all the queries to cloud.
Args:
benchmark_spec: The benchmark specification
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | Apache-2.0 |
def Run(benchmark_spec: bm_spec.BenchmarkSpec) -> List[sample.Sample]:
"""Runs a Spark SQL Query.
Args:
benchmark_spec: Spec needed to run the Spark SQL.
Returns:
A list of samples, comprised of the detailed run times of query.
Raises:
Benchmarks.RunError if no query succeeds.
"""
cluster = b... | Runs a Spark SQL Query.
Args:
benchmark_spec: Spec needed to run the Spark SQL.
Returns:
A list of samples, comprised of the detailed run times of query.
Raises:
Benchmarks.RunError if no query succeeds.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | Apache-2.0 |
def _DownloadTemplatedQuery(
storage_service: object_storage_service.ObjectStorageService,
) -> str:
"""Downloads the template query to a temporary location.
Args:
storage_service: object_storage_service to download parameterised query.
Returns:
path of temporary location where file is downloaded.
... | Downloads the template query to a temporary location.
Args:
storage_service: object_storage_service to download parameterised query.
Returns:
path of temporary location where file is downloaded.
| _DownloadTemplatedQuery | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | Apache-2.0 |
def _GetQuerySubstitutions(
cluster: dpb_service.BaseDpbService,
) -> Dict[str, str]:
"""Creates a sql query substitution dictionary.
Substitutions is composed of two set of variables
1. list of custom query variables paased in via
'dpb_spark_query_param_json_string'
2. list of cluster specific parameter... | Creates a sql query substitution dictionary.
Substitutions is composed of two set of variables
1. list of custom query variables paased in via
'dpb_spark_query_param_json_string'
2. list of cluster specific parameters i.e. cluster_id, region etc.
Args:
cluster: BaseDpbService object.
Returns:
Dic... | _GetQuerySubstitutions | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | Apache-2.0 |
def _GetSubstitutedSqlQuery(cluster: dpb_service.BaseDpbService):
"""Downloads the query and convert it to string.
Args:
cluster: BaseDpbService object.
Returns:
Sql query with all substitutions in place.
"""
storage_service = cluster.storage_service
query_string = ''
template_query_path = _Down... | Downloads the query and convert it to string.
Args:
cluster: BaseDpbService object.
Returns:
Sql query with all substitutions in place.
| _GetSubstitutedSqlQuery | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | Apache-2.0 |
def _LoadAndStageQueries(cluster: dpb_service.BaseDpbService) -> str:
"""Loads query from gcs and stages it in object storage.
Query is picked from location `--dpb_spark_query_uri_path`.
Variables or parameter in query are substituted using
`--dpb_spark_query_param_json_string`.
Args:
cluster: BaseDpbSe... | Loads query from gcs and stages it in object storage.
Query is picked from location `--dpb_spark_query_uri_path`.
Variables or parameter in query are substituted using
`--dpb_spark_query_param_json_string`.
Args:
cluster: BaseDpbService object.
Returns:
The path to the staged query path.
Raises:... | _LoadAndStageQueries | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_sparksql_custom_benchmark.py | Apache-2.0 |
def ManageLifecycleResources(
base_folder, dpb_service_instance, storage_service
):
"""Takes the static artifacts and persists them in object store for execution.
Args:
base_folder: Base folder for the current benchmark run.
dpb_service_instance: An instance of the dpb service being benchmarked.
st... | Takes the static artifacts and persists them in object store for execution.
Args:
base_folder: Base folder for the current benchmark run.
dpb_service_instance: An instance of the dpb service being benchmarked.
storage_service: The object store to use for persistence of the artifacts.
Returns:
A di... | ManageLifecycleResources | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_spark_io_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_spark_io_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Prepare phase uses schema creation script and sample data to prepare table.
Args:
benchmark_spec: Configuration that holds the definition and instance details
of the resources used for benchmarking.
"""
storage_service = object_storage_service.GetObjectStorageClass(FLA... | Prepare phase uses schema creation script and sample data to prepare table.
Args:
benchmark_spec: Configuration that holds the definition and instance details
of the resources used for benchmarking.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_spark_io_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_spark_io_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Executes the sql script on the specified Spark cluster.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
Raises:
JobSubmissionError if SQL script fails.
"""
r... | Executes the sql script on the specified Spark cluster.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
Raises:
JobSubmissionError if SQL script fails.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_spark_io_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_spark_io_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Executes the given jar on the specified Spark cluster.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
Raises:
JobSubmissionError if the job fails.
"""
meta... | Executes the given jar on the specified Spark cluster.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
Raises:
JobSubmissionError if the job fails.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_spark_pi_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_spark_pi_benchmark.py | Apache-2.0 |
def CheckPrerequisites(benchmark_config):
"""Verifies that the required resources are present.
Args:
benchmark_config: Config needed to run the terasort benchmark
Raises:
perfkitbenchmarker.errors.Config.InvalidValue: On encountering invalid
configuration.
"""
dpb_service_type = benchmark_config... | Verifies that the required resources are present.
Args:
benchmark_config: Config needed to run the terasort benchmark
Raises:
perfkitbenchmarker.errors.Config.InvalidValue: On encountering invalid
configuration.
| CheckPrerequisites | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_terasort_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_terasort_benchmark.py | Apache-2.0 |
def Run(spec: benchmark_spec.BenchmarkSpec):
"""Runs the 3 stages of the terasort benchmark.
The following stages are executed based on the selected Job Type:
* Generating the input data via TeraGen.
* Running the actual TeraSort on the input data.
* Validating the sorted output data via TeraValidate.
... | Runs the 3 stages of the terasort benchmark.
The following stages are executed based on the selected Job Type:
* Generating the input data via TeraGen.
* Running the actual TeraSort on the input data.
* Validating the sorted output data via TeraValidate.
The samples report the cumulative results along... | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_terasort_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_terasort_benchmark.py | Apache-2.0 |
def RunStage(
spec: benchmark_spec.BenchmarkSpec, stage: str, stage_args: List[str]
) -> dpb_service.JobResult:
"""Runs one of the 3 job stages of Terasort.
Args:
spec: BencharkSpec; the benchmark_spec
stage: str; name of the stage being executed
stage_args: List[str]; arguments for the stage.
R... | Runs one of the 3 job stages of Terasort.
Args:
spec: BencharkSpec; the benchmark_spec
stage: str; name of the stage being executed
stage_args: List[str]; arguments for the stage.
Returns:
JobResult of running job.
Raises:
JobSubmissionError if job fails.
| RunStage | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_terasort_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_terasort_benchmark.py | Apache-2.0 |
def CheckPrerequisites(benchmark_config):
"""Verifies that the required resources are present.
Args:
benchmark_config: The config used to construct the BenchmarkSpec.
Raises:
InvalidValue: On encountering invalid configuration.
"""
dpb_service_type = benchmark_config.dpb_service.service_type
if dp... | Verifies that the required resources are present.
Args:
benchmark_config: The config used to construct the BenchmarkSpec.
Raises:
InvalidValue: On encountering invalid configuration.
| CheckPrerequisites | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_testdfsio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_testdfsio_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Runs testdfsio benchmark and reports the results.
Args:
benchmark_spec: Spec needed to run the testdfsio benchmark
Returns:
A list of samples
"""
service = benchmark_spec.dpb_service
if FLAGS.dfsio_fs == dpb_constants.HDFS_FS:
base_dir = 'hdfs:/dfsio'
elif servic... | Runs testdfsio benchmark and reports the results.
Args:
benchmark_spec: Spec needed to run the testdfsio benchmark
Returns:
A list of samples
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_testdfsio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_testdfsio_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Make the jarfile available if using Dataflow."""
dpb_service_instance = benchmark_spec.dpb_service
storage_service = dpb_service_instance.storage_service
benchmark_spec.dpb_wordcount_jarfile = FLAGS.dpb_job_jarfile
if dpb_service_instance.SERVICE_TYPE == dpb_constants.DATAFLOW:... | Make the jarfile available if using Dataflow. | Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_wordcount_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_wordcount_benchmark.py | Apache-2.0 |
def _GetJobArguments(dpb_service_type):
"""Returns the arguments for word count job based on runtime service."""
if dpb_service_type not in WORD_COUNT_CONFIGURATION:
raise NotImplementedError
else:
return WORD_COUNT_CONFIGURATION[dpb_service_type] | Returns the arguments for word count job based on runtime service. | _GetJobArguments | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpb_wordcount_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpb_wordcount_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec: bm_spec.BenchmarkSpec) -> None:
"""Prepares both VM's to run DPDK Pktgen.
Args:
benchmark_spec: The benchmark specification.
"""
sender_vm, receiver_vm = benchmark_spec.vms[:2]
background_tasks.RunThreaded(
lambda vm: vm.Install('dpdk_pktgen'),
[sender_vm, receiver... | Prepares both VM's to run DPDK Pktgen.
Args:
benchmark_spec: The benchmark specification.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpdk_pktgen_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpdk_pktgen_benchmark.py | Apache-2.0 |
def PrepareVM(
vm: linux_virtual_machine.BaseLinuxVirtualMachine,
sender_vm_ip: str,
sender_vm_mac: str,
receiver_vm_ip: str,
receiver_vm_mac: str,
) -> None:
"""Prepares a VM to run DPDK Pktgen."""
vm.PushDataFile(
'dpdk_pktgen/pktgen.pkt',
f'{dpdk_pktgen.DPDK_PKTGEN_GIT_REPO_DIR}/p... | Prepares a VM to run DPDK Pktgen. | PrepareVM | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpdk_pktgen_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpdk_pktgen_benchmark.py | Apache-2.0 |
def Run(benchmark_spec: bm_spec.BenchmarkSpec) -> list[sample.Sample]:
"""Runs DPDK benchmarks.
Args:
benchmark_spec: The benchmark specification.
Returns:
A list of sample.Sample objects with the performance results.
Raises:
RunError: A run-stage error raised by an individual benchmark.
"""
... | Runs DPDK benchmarks.
Args:
benchmark_spec: The benchmark specification.
Returns:
A list of sample.Sample objects with the performance results.
Raises:
RunError: A run-stage error raised by an individual benchmark.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpdk_pktgen_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpdk_pktgen_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec: bm_spec.BenchmarkSpec) -> None:
"""Prepares both VM's to run DPDK.
This include Hugepage allocation, dpdk installation, and binding the secondary
NIC to a DPDK-compatible driver.
Args:
benchmark_spec: The benchmark specification.
"""
client_vm, server_vm = benchmark_spec.vm... | Prepares both VM's to run DPDK.
This include Hugepage allocation, dpdk installation, and binding the secondary
NIC to a DPDK-compatible driver.
Args:
benchmark_spec: The benchmark specification.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpdk_testpmd_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpdk_testpmd_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec: bm_spec.BenchmarkSpec) -> None:
"""Cleanup benchmarks on the target vm.
Args:
benchmark_spec: The benchmark specification.
"""
client_vm, server_vm = benchmark_spec.vms[:2]
dpdk_git_repo_dir = _GetDirFromRepo(dpdk.DPDK_GIT_REPO)
dpdk_driver_git_repo_dir = _GetDirFromRepo(dpd... | Cleanup benchmarks on the target vm.
Args:
benchmark_spec: The benchmark specification.
| Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/dpdk_testpmd_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/dpdk_testpmd_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install script execution environment on the client vm.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
benchmark_spec.always_call_cleanup = True
edw_service_instance = benchmark_spec.edw_service
vm = b... | Install script execution environment on the client vm.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/edw_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/edw_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run phase executes the sql scripts on edw cluster and collects duration."""
results = []
edw_service_instance = benchmark_spec.edw_service
client_interface = edw_service_instance.GetClientInterface()
# Run a warm up query in case there are cold start issues.
client_interface.Wa... | Run phase executes the sql scripts on edw cluster and collects duration. | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/edw_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/edw_benchmark.py | Apache-2.0 |
def _InstallEsrally(vm, master_nodes, seed_hosts, is_load_generator=False):
"""Install esrally on the target vm.
Args:
vm: The VM to install esrally on.
master_nodes: comma separated string of the cluster's vm names.
seed_hosts: comma separated string of the cluster's internal IPs.
is_load_generato... | Install esrally on the target vm.
Args:
vm: The VM to install esrally on.
master_nodes: comma separated string of the cluster's vm names.
seed_hosts: comma separated string of the cluster's internal IPs.
is_load_generator: Whether the vm is a load generator.
| _InstallEsrally | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/esrally_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/esrally_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Installs dependencies and setups up esrally cluster.
Args:
benchmark_spec: The benchmark specification.
"""
client_vm = benchmark_spec.vm_groups['clients'][0]
server_vms = benchmark_spec.vm_groups['servers']
master_nodes = ','.join(vm.name for vm in server_vms)
seed_ho... | Installs dependencies and setups up esrally cluster.
Args:
benchmark_spec: The benchmark specification.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/esrally_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/esrally_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Runs esrally on the target vm.
Args:
benchmark_spec: The benchmark specification.
Returns:
A list of sample.Sample objects with the performance results.
Raises:
Benchmarks.RunError: If no results are found.
"""
client_vm = benchmark_spec.vm_groups['clients'][0]
s... | Runs esrally on the target vm.
Args:
benchmark_spec: The benchmark specification.
Returns:
A list of sample.Sample objects with the performance results.
Raises:
Benchmarks.RunError: If no results are found.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/esrally_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/esrally_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec: bm_spec.BenchmarkSpec):
"""Prepares the VMs and other resources for running the benchmark.
This is a good place to download binaries onto the VMs, create any data files
needed for a benchmark run, etc.
Args:
benchmark_spec: The benchmark spec for this sample benchmark.
"""
... | Prepares the VMs and other resources for running the benchmark.
This is a good place to download binaries onto the VMs, create any data files
needed for a benchmark run, etc.
Args:
benchmark_spec: The benchmark spec for this sample benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/example_preprovision_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/example_preprovision_benchmark.py | Apache-2.0 |
def Run(benchmark_spec: bm_spec.BenchmarkSpec) -> list[sample.Sample]:
"""Runs the benchmark and returns a dict of performance data.
It must be possible to run the benchmark multiple times after the Prepare
stage.
Args:
benchmark_spec: The benchmark spec for this sample benchmark.
Returns:
A list o... | Runs the benchmark and returns a dict of performance data.
It must be possible to run the benchmark multiple times after the Prepare
stage.
Args:
benchmark_spec: The benchmark spec for this sample benchmark.
Returns:
A list of performance samples.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/example_preprovision_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/example_preprovision_benchmark.py | Apache-2.0 |
def _Prepare(vm):
"""Mount gcsfuse and set up the test script."""
# Set up the test script
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_SCRIPT}') | Mount gcsfuse and set up the test script. | _Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/gcsfuse_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gcsfuse_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Read the files concurrently and measure the throughput.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample instances.
"""
vms = benchmark_spec.vms
gfile_sample_lists = backgr... | Read the files concurrently and measure the throughput.
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/gcsfuse_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gcsfuse_benchmark.py | Apache-2.0 |
def _ReadThroughputTest(vm, mountpoint):
"""Read the files in the directory via tf.io.gfile or gcsfuse."""
data_dir = FLAGS.gcsfuse_data_dir
options = f'--mountpoint="{mountpoint}"'
cmd = f'gsutil ls "{data_dir}" | {_DLVM_PYTHON} {_REMOTE_SCRIPT} {options}'
logging.info(cmd)
stdout, stderr = vm.RemoteComman... | Read the files in the directory via tf.io.gfile or gcsfuse. | _ReadThroughputTest | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/gcsfuse_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gcsfuse_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Install glibc on the target vms.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vms = benchmark_spec.vms
vm = vms[0]
PrepareGlibc(vm) | Install glibc on the 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/glibc_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/glibc_benchmark.py | Apache-2.0 |
def GetCommonMetadata(benchmark_spec):
"""Update metadata with glibc-related flag values."""
metadata = dict()
metadata['gcc'] = glibc.GetGccVersion(benchmark_spec.vms[0])
metadata['glibc_benchset'] = FLAGS.glibc_benchset
metadata['glibc_version'] = glibc.GLIBC_VERSION
metadata['num_machines'] = len(benchma... | Update metadata with glibc-related flag values. | GetCommonMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/glibc_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/glibc_benchmark.py | Apache-2.0 |
def HelperParseOutput(lst):
"""Self defined parameter function for 'object_pairs_hook' of json.loads().
Purpose:
This function helps to parse json text with duplicate keys, for instance:
json text: {"key":1, "key":2, "key2":3, "key2":4}
With this function, we will have the following dict:
{... | Self defined parameter function for 'object_pairs_hook' of json.loads().
Purpose:
This function helps to parse json text with duplicate keys, for instance:
json text: {"key":1, "key":2, "key2":3, "key2":4}
With this function, we will have the following dict:
{"key":[1, 2],
"key2":[3, 4... | HelperParseOutput | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/glibc_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/glibc_benchmark.py | Apache-2.0 |
def ParseOutput(glibc_output, upper_key, results, metadata):
"""Parses the output from glibc.
Args:
glibc_output: A json format string containing the output of benchmark tests.
upper_key: The first dimension key of the glibc_output dict.
results: A list to which this function will append new samples ba... | Parses the output from glibc.
Args:
glibc_output: A json format string containing the output of benchmark tests.
upper_key: The first dimension key of the glibc_output dict.
results: A list to which this function will append new samples based on the
glibc output. (in the same format as Run() return... | ParseOutput | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/glibc_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/glibc_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run Glibc on the cluster.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
vms = benchmark_spec.vms
vm = vms[0]
results = []
# Ensure that we can get comm... | Run Glibc on the cluster.
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/glibc_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/glibc_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Set up GlusterFS and install fio.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
gluster_servers = benchmark_spec.vm_groups['gluster_servers']
clients = benchmark_spec.vm_groups['clients']
client_vm =... | Set up GlusterFS and install fio.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/gluster_fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gluster_fio_benchmark.py | Apache-2.0 |
def _RunFio(vm, fio_params, metadata):
"""Run fio.
Args:
vm: Virtual machine to run fio on.
fio_params: fio parameters used to create the fio command to run.
metadata: Metadata to add to the results.
Returns:
A list of sample.Sample objects
"""
stdout, _ = vm.RemoteCommand(
'sudo {} {}... | Run fio.
Args:
vm: Virtual machine to run fio on.
fio_params: fio parameters used to create the fio command to run.
metadata: Metadata to add to the results.
Returns:
A list of sample.Sample objects
| _RunFio | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/gluster_fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gluster_fio_benchmark.py | Apache-2.0 |
def Run(benchmark_spec):
"""Run fio against gluster.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
gluster_servers = benchmark_spec.vm_groups['gluster_servers']
clients = benchmark_spe... | Run fio against gluster.
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/gluster_fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gluster_fio_benchmark.py | Apache-2.0 |
def Cleanup(benchmark_spec):
"""Cleanup gluster.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
clients = benchmark_spec.vm_groups['clients']
gluster_servers = benchmark_spec.vm_groups['gluster_servers']
for client in clients:
... | Cleanup gluster.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
| Cleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/gluster_fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gluster_fio_benchmark.py | Apache-2.0 |
def _ParseDeviceInfo(test_output):
"""Parses the GPU device info from the CUDA device bandwidth test output.
Args:
test_output: The resulting output string from the bandwidth test
application.
Returns:
A dictionary mapping the device number to its name, for every
device available on the system... | Parses the GPU device info from the CUDA device bandwidth test output.
Args:
test_output: The resulting output string from the bandwidth test
application.
Returns:
A dictionary mapping the device number to its name, for every
device available on the system.
| _ParseDeviceInfo | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/gpu_pcie_bandwidth_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gpu_pcie_bandwidth_benchmark.py | Apache-2.0 |
def _AverageResultsForSection(lines, results_section_header_index):
"""Return the average bandwidth for a specific section of results
Args:
lines: output of bandwidthTest, split by lines and stripped of whitespace
results_section_header_index: line number of results section header. The
actual results... | Return the average bandwidth for a specific section of results
Args:
lines: output of bandwidthTest, split by lines and stripped of whitespace
results_section_header_index: line number of results section header. The
actual results, in MB/s, should begin three lines after the header.
Returns:
ave... | _AverageResultsForSection | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/gpu_pcie_bandwidth_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gpu_pcie_bandwidth_benchmark.py | Apache-2.0 |
def _FindIndexOfLineThatStartsWith(lines, str):
"""Return the index of the line that startswith str.
Args:
lines: iterable
str: predicate to find in lines
Returns:
first index of the element in lines that startswith str
Raises:
InvalidBandwidthTestOutputFormat if str is not found
"""
for ... | Return the index of the line that startswith str.
Args:
lines: iterable
str: predicate to find in lines
Returns:
first index of the element in lines that startswith str
Raises:
InvalidBandwidthTestOutputFormat if str is not found
| _FindIndexOfLineThatStartsWith | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/gpu_pcie_bandwidth_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gpu_pcie_bandwidth_benchmark.py | Apache-2.0 |
def _ParseOutputFromSingleIteration(test_output):
"""Parses the output of the CUDA device bandwidth test.
Args:
test_output: The resulting output string from the bandwidth test
application.
Returns:
A dictionary containing the following values as floats:
* the device to host bandwidth
... | Parses the output of the CUDA device bandwidth test.
Args:
test_output: The resulting output string from the bandwidth test
application.
Returns:
A dictionary containing the following values as floats:
* the device to host bandwidth
* the host to device bandwidth
* the device to de... | _ParseOutputFromSingleIteration | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/gpu_pcie_bandwidth_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/gpu_pcie_bandwidth_benchmark.py | Apache-2.0 |
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