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
values |
|---|---|---|---|---|---|---|---|
def StartCluster(server_vms) -> None:
"""Start redis cluster; assumes redis shards started with cluster mode."""
cluster_create_cmd = f'sudo {GetRedisDir()}/src/redis-cli --cluster create '
for server_vm in server_vms:
cluster_create_cmd += f' {server_vm.internal_ip}:{DEFAULT_PORT}'
stdout, _ = server_vms[0... | Start redis cluster; assumes redis shards started with cluster mode. | StartCluster | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/redis_server.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/redis_server.py | Apache-2.0 |
def AptInstall(vm: virtual_machine.BaseVirtualMachine) -> None:
"""Installs the s64da package on the VM."""
vm.Install('pip')
cmds = [
(
'wget '
f'https://github.com/swarm64/s64da-benchmark-toolkit/archive/refs/tags/{S64DA_VERSION}.tar.gz'
),
f'tar -xf v{S64DA_VERSION}.tar.gz... | Installs the s64da package on the VM. | AptInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/s64da.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/s64da.py | Apache-2.0 |
def RunBenchmark(
vm: virtual_machine.BaseVirtualMachine,
db: r_db.BaseRelationalDb,
benchmark: str,
oltp_workers: int,
olap_workers: int,
duration: int,
olap_timeout: str,
ramp_up_duration: int,
run_on_replica: bool,
) -> List[sample.Sample]:
"""Runs the benchmark and gathers the ... | Runs the benchmark and gathers the data. | RunBenchmark | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/s64da.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/s64da.py | Apache-2.0 |
def SplitRampUpSamples(
rows: List[OLTPRow], ramp_up_duration: int
) -> Tuple[List[OLTPRow], List[OLTPRow]]:
"""Splits samples before ramp up and after ramp up.
The samples returned from the s64da benchmarks are in chronological order.
Args:
rows: Samples returned from the s64da benchmarks
ramp_up_d... | Splits samples before ramp up and after ramp up.
The samples returned from the s64da benchmarks are in chronological order.
Args:
rows: Samples returned from the s64da benchmarks
ramp_up_duration: Time for the benchmark to rampup.
Returns:
Tuple of split samples.
| SplitRampUpSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/s64da.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/s64da.py | Apache-2.0 |
def _IsShocInstalled(vm):
"""Returns whether shoc is installed or not"""
command = os.path.join(SHOC_BIN_DIR, 'shocdriver')
resp, _ = vm.RemoteHostCommand('command -v %s' % command, ignore_failure=True)
if resp.rstrip() == '':
return False
return True | Returns whether shoc is installed or not | _IsShocInstalled | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/shoc_benchmark_suite.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/shoc_benchmark_suite.py | Apache-2.0 |
def AptInstall(vm):
"""Installs the SHOC benchmark suite on the VM."""
if _IsShocInstalled(vm):
return
vm.InstallPackages(APT_PACKAGES)
vm.Install('cuda_toolkit')
vm.RemoteCommand(
'cd %s && git clone %s' % (linux_packages.INSTALL_DIR, SHOC_GIT_URL)
)
vm.RemoteCommand(
(
'cd %s... | Installs the SHOC benchmark suite on the VM. | AptInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/shoc_benchmark_suite.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/shoc_benchmark_suite.py | Apache-2.0 |
def _Install(vm):
"""Installs the Silo package on the VM."""
nthreads = vm.NumCpusForBenchmark() * 2
vm.Install('build_tools')
vm.RemoteCommand('git clone {} {}'.format(GIT_REPO, SILO_DIR))
vm.RemoteCommand('cd {} && git checkout {}'.format(SILO_DIR, GIT_TAG))
# This is due to a failing clone command when e... | Installs the Silo package on the VM. | _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/silo.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/silo.py | Apache-2.0 |
def Running(vm):
"""Check if any slurm job is running."""
output, _ = vm.RemoteCommand('sinfo')
for line in output.splitlines():
if not line:
continue
status = line.split()[4]
if status in ('alloc', 'mix'):
return True
return False | Check if any slurm job is running. | Running | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/slurm.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/slurm.py | Apache-2.0 |
def GetController(vms):
"""Return the controller vm.
e.g.
ip-10-0-0-[28,175], return vm with hostname ip-10-0-0-28
pkb-46b6c6e7-[0-1], return vm with hostname pkb-46b6c6e7-0
Args:
vms: List of virtual machine objects.
Returns:
VirtualMachine object representing controller vm.
Raises:
Runtim... | Return the controller vm.
e.g.
ip-10-0-0-[28,175], return vm with hostname ip-10-0-0-28
pkb-46b6c6e7-[0-1], return vm with hostname pkb-46b6c6e7-0
Args:
vms: List of virtual machine objects.
Returns:
VirtualMachine object representing controller vm.
Raises:
RuntimeError: if cannot find the co... | GetController | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/slurm.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/slurm.py | Apache-2.0 |
def AptInstall(vm):
"""Installs snowsql on the Debian VM."""
vm.Install('curl')
vm.Install('unzip')
vm.RemoteCommand('curl -O %s' % SNOWSQL_DOWNLOAD_URL)
vm.RemoteCommand(
'SNOWSQL_DEST=%s SNOWSQL_LOGIN_SHELL=~/.profile '
'bash snowsql-%s-linux_x86_64.bash'
% (SNOWSQL_INSTALL_LOCATION, SNOWS... | Installs snowsql on the Debian VM. | AptInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/snowsql.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/snowsql.py | Apache-2.0 |
def AptUninstall(vm):
"""Removes snowsql from the Debian VM."""
vm.RemoteCommand('rm -rf ~/bin/snowsql')
vm.RemoteCommand('rm -rf ~/.snowsql')
vm.RemoteCommand('rm -rf snowsql-%s-linux_x86_64.bash' % SNOWSQL_VERSION) | Removes snowsql from the Debian VM. | AptUninstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/snowsql.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/snowsql.py | Apache-2.0 |
def SparkVersion() -> version.Version:
"""Get passed Spark version or latest available."""
if _SPARK_VERSION_FLAG.value:
return version.Version(_SPARK_VERSION_FLAG.value)
# Find latest version
# N.B. requests handles a redirect from spark to spark/.
response = requests.get(SPARK_DOWNLOADS)
if not respon... | Get passed Spark version or latest available. | SparkVersion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/spark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/spark.py | Apache-2.0 |
def GetConfiguration(
driver_memory_mb: int,
worker_memory_mb: int,
worker_cores: int,
num_workers: int,
configure_s3: bool = False,
) -> Dict[str, str]:
"""Calculate Spark configuration. Shared between VMs and k8s."""
conf = {
SPARK_DRIVER_MEMORY: f'{driver_memory_mb}m',
SPARK_WORKE... | Calculate Spark configuration. Shared between VMs and k8s. | GetConfiguration | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/spark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/spark.py | Apache-2.0 |
def _GetOnlineWorkerCount(leader):
"""Curl Spark Master Web UI for worker status."""
cmd = "curl http://localhost:8080 | grep 'Alive Workers' | grep -o '[0-9]\\+'"
stdout = leader.RemoteCommand(cmd)[0]
return int(stdout) | Curl Spark Master Web UI for worker status. | _GetOnlineWorkerCount | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/spark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/spark.py | Apache-2.0 |
def ConfigureAndStart(leader, workers, configure_s3=False):
"""Run Spark Standalone and HDFS on a cluster.
Args:
leader: VM. leader VM - will be the HDFS NameNode, Spark Master.
workers: List of VMs. Each VM will run an HDFS DataNode, Spark Worker.
configure_s3: Whether to configure Spark to access S3.... | Run Spark Standalone and HDFS on a cluster.
Args:
leader: VM. leader VM - will be the HDFS NameNode, Spark Master.
workers: List of VMs. Each VM will run an HDFS DataNode, Spark Worker.
configure_s3: Whether to configure Spark to access S3.
| ConfigureAndStart | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/spark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/spark.py | Apache-2.0 |
def _CheckTarFile(vm, runspec_config, examine_members, speccpu_vm_state):
"""Performs preliminary checks on the format of tar file downloaded on vm.
Args:
vm: virtual machine
runspec_config: String. User-specified name of the config file that is
expected to be in the tar file.
examine_members: Bo... | Performs preliminary checks on the format of tar file downloaded on vm.
Args:
vm: virtual machine
runspec_config: String. User-specified name of the config file that is
expected to be in the tar file.
examine_members: Boolean. If True, this function will examine the tar file's
members to veri... | _CheckTarFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def _CheckIsoAndCfgFile(runspec_config, spec_iso, clang_flag):
"""Searches for the iso file and cfg file.
Args:
runspec_config: String. Name of the config file to provide to runspec.
spec_iso: String. Location of spec iso file.
clang_flag: String. Location of the clang flag file.
Raises:
data.Re... | Searches for the iso file and cfg file.
Args:
runspec_config: String. Name of the config file to provide to runspec.
spec_iso: String. Location of spec iso file.
clang_flag: String. Location of the clang flag file.
Raises:
data.ResourcePath: If one of the required files could not be found.
| _CheckIsoAndCfgFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def UpdateConfig(self, scratch_dir):
"""Updates the configuration after other attributes have been set.
Args:
scratch_dir: The scratch directory on the VM that SPEC is installed on.
"""
if self.base_spec_dir is None:
raise ValueError('base_spec_dir must be set.')
self.spec_dir = posix... | Updates the configuration after other attributes have been set.
Args:
scratch_dir: The scratch directory on the VM that SPEC is installed on.
| UpdateConfig | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def InstallSPECCPU(vm, speccpu_vm_state):
"""Installs SPEC CPU2006 or 2017 on the target vm.
Args:
vm: Vm on which speccpu is installed.
speccpu_vm_state: SpecInstallConfigurations. Install configuration for spec.
"""
scratch_dir = vm.GetScratchDir()
vm.RemoteCommand('chmod 755 {}'.format(scratch_dir... | Installs SPEC CPU2006 or 2017 on the target vm.
Args:
vm: Vm on which speccpu is installed.
speccpu_vm_state: SpecInstallConfigurations. Install configuration for spec.
| InstallSPECCPU | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def _PrepareWithPreprovisionedTarFile(vm, speccpu_vm_state):
"""Prepares the VM to run using tar file in preprovisioned cloud.
Args:
vm: BaseVirtualMachine. Vm on which the tar file is installed.
speccpu_vm_state: SpecInstallConfigurations. Install configuration for spec.
"""
scratch_dir = vm.GetScratc... | Prepares the VM to run using tar file in preprovisioned cloud.
Args:
vm: BaseVirtualMachine. Vm on which the tar file is installed.
speccpu_vm_state: SpecInstallConfigurations. Install configuration for spec.
| _PrepareWithPreprovisionedTarFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def _PrepareWithIsoFile(vm, speccpu_vm_state):
"""Prepares the VM to run using the iso file.
Copies the iso to the VM, mounts it, and extracts the contents. Copies the
config file to the VM. Runs the SPEC install.sh script on the VM.
Args:
vm: BaseVirtualMachine. Recipient of the iso file.
speccpu_vm_... | Prepares the VM to run using the iso file.
Copies the iso to the VM, mounts it, and extracts the contents. Copies the
config file to the VM. Runs the SPEC install.sh script on the VM.
Args:
vm: BaseVirtualMachine. Recipient of the iso file.
speccpu_vm_state: SpecInstallConfigurations. Modified by this f... | _PrepareWithIsoFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def _ExtractScore(stdout, vm, keep_partial_results, runspec_metric):
"""Extracts the SPEC(int|fp) score from stdout.
Args:
stdout: String. stdout from running RemoteCommand.
vm: The vm instance where SPEC CPU was run.
keep_partial_results: Boolean. True if partial results should be extracted
in t... | Extracts the SPEC(int|fp) score from stdout.
Args:
stdout: String. stdout from running RemoteCommand.
vm: The vm instance where SPEC CPU was run.
keep_partial_results: Boolean. True if partial results should be extracted
in the event that not all benchmarks were successfully run. See the
"run... | _ExtractScore | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def _GeometricMean(arr):
"""Calculates the geometric mean of the array."""
product = 1
for val in arr:
product *= val
return product ** (1.0 / len(arr)) | Calculates the geometric mean of the array. | _GeometricMean | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def ParseOutput(
vm, log_files, is_partial_results, runspec_metric, results_directory=None
):
"""Retrieves the SPEC CPU output from the VM and parses it.
Args:
vm: Vm. The vm instance where SPEC CPU was run.
log_files: String. Path of the directory on the remote machine where the
SPEC files, incl... | Retrieves the SPEC CPU output from the VM and parses it.
Args:
vm: Vm. The vm instance where SPEC CPU was run.
log_files: String. Path of the directory on the remote machine where the
SPEC files, including binaries and logs, are located.
is_partial_results: Boolean. True if the output is partial re... | ParseOutput | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def Run(vm, cmd, benchmark_subset, version_specific_parameters=None):
"""Runs SPEC CPU on the target vm.
Args:
vm: Vm. The vm on which speccpu will run.
cmd: command to issue.
benchmark_subset: List. Subset of the benchmark to run.
version_specific_parameters: List. List of parameters for specific ... | Runs SPEC CPU on the target vm.
Args:
vm: Vm. The vm on which speccpu will run.
cmd: command to issue.
benchmark_subset: List. Subset of the benchmark to run.
version_specific_parameters: List. List of parameters for specific versions.
Returns:
A Tuple of (stdout, stderr) the run output.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def Uninstall(vm):
"""Cleans up SPECCPU from the target vm.
Args:
vm: The vm on which SPECCPU is uninstalled.
"""
speccpu_vm_state = getattr(vm, VM_STATE_ATTR, None)
if speccpu_vm_state:
if speccpu_vm_state.mount_dir:
try:
vm.RemoteCommand('sudo umount {}'.format(speccpu_vm_state.mount_... | Cleans up SPECCPU from the target vm.
Args:
vm: The vm on which SPECCPU is uninstalled.
| Uninstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu.py | Apache-2.0 |
def GetSpecInstallConfig(scratch_dir):
"""Returns a SpecInstallConfigurations() for SPEC CPU 2006.
Args:
scratch_dir: The scratch directory on the VM that SPEC is installed on.
"""
install_config = speccpu.SpecInstallConfigurations()
install_config.package_name = _PACKAGE_NAME
install_config.base_mount... | Returns a SpecInstallConfigurations() for SPEC CPU 2006.
Args:
scratch_dir: The scratch directory on the VM that SPEC is installed on.
| GetSpecInstallConfig | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu2006.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu2006.py | Apache-2.0 |
def GetSpecInstallConfig(scratch_dir):
"""Returns a SpecInstallConfigurations() for SPEC CPU 2017.
Args:
scratch_dir: The scratch directory on the VM that SPEC is installed on.
"""
install_config = speccpu.SpecInstallConfigurations()
install_config.package_name = _PACKAGE_NAME
install_config.base_mount... | Returns a SpecInstallConfigurations() for SPEC CPU 2017.
Args:
scratch_dir: The scratch directory on the VM that SPEC is installed on.
| GetSpecInstallConfig | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/speccpu2017.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/speccpu2017.py | Apache-2.0 |
def Uninstall(vm) -> None:
"""Cleanup Specjbb on the target vm."""
if _MOUNT_SPECJBB_ISO.value:
vm.RemoteCommand(f'sudo umount {SPEC_DIR}', ignore_failure=True)
vm.RemoteCommand(
f'rm -rf {SPEC_DIR} {SPEC_JBB_2015_ISO}', ignore_failure=True
) | Cleanup Specjbb on the target vm. | Uninstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/specjbb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/specjbb.py | Apache-2.0 |
def Install(vm):
"""Installs the swiftclient package on the VM."""
# Upgrade to latest urllib3 version fixes SSL SNMI error
vm.Install('pip')
vm.InstallPackages('python-dev python-urllib3')
vm.RemoteCommand('sudo pip install python-keystoneclient')
vm.RemoteCommand('sudo pip install python-swiftclient') | Installs the swiftclient package on the VM. | Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/swift_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/swift_client.py | Apache-2.0 |
def _Install(vm, spanner_oltp=False, args=immutabledict.immutabledict()):
"""Installs the sysbench package on the VM."""
vm.RemoteCommand(f'sudo rm -rf {SYSBENCH_DIR}')
if SYSBENCH_VERSION.value in RELEASE_TAGS:
vm.RemoteCommand(
f'git clone {GIT_REPO} {SYSBENCH_DIR} --branch {SYSBENCH_VERSION.value}'... | Installs the sysbench package on the VM. | _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/sysbench.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/sysbench.py | Apache-2.0 |
def ParseSysbenchTimeSeries(sysbench_output, metadata) -> list[sample.Sample]:
"""Parses sysbench output.
Extract relevant TPS and latency numbers, and populate the final result
collection with these information.
Specifically, we are interested in tps and latency numbers reported by each
reporting interval.... | Parses sysbench output.
Extract relevant TPS and latency numbers, and populate the final result
collection with these information.
Specifically, we are interested in tps and latency numbers reported by each
reporting interval.
Args:
sysbench_output: The output from sysbench.
metadata: Metadata of t... | ParseSysbenchTimeSeries | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/sysbench.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/sysbench.py | Apache-2.0 |
def GetSysbenchDatabaseFlags(
db_driver: str,
db_user: str,
db_password: str,
db_name: str,
host_ip: str,
ssl_setting: str | None = None, # only available in sysbench ver 1.1+
port: int | None = None,
) -> list[str]:
"""Returns the database flags for sysbench."""
if db_driver == 'mysql'... | Returns the database flags for sysbench. | GetSysbenchDatabaseFlags | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/sysbench.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/sysbench.py | Apache-2.0 |
def Install(vm):
"""Installs the tailbench dependencies and sets up the package on the VM."""
# TODO(user): Rework all of this to use vm.Install to make more robust
vm.InstallPackages(
'libopencv-dev autoconf ant libtcmalloc-minimal4 swig google-perftools'
' bzip2 libnuma-dev libjemalloc-dev libgoogle... | Installs the tailbench dependencies and sets up the package on the VM. | Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tailbench.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tailbench.py | Apache-2.0 |
def PrepareTailBench(vm):
"""Set up tailbench on the VM by setting the config files.
Args:
vm: The VM in which we are setting up the TailBench config.
"""
vm.RemoteCommand(
f'echo "{CONFIGS_SH_CONTENTS}" > "{INSTALL_DIR}"/{TAILBENCH}/configs.sh'
)
vm.RemoteCommand(
f'echo "{MAKEFILE_CONFIG_... | Set up tailbench on the VM by setting the config files.
Args:
vm: The VM in which we are setting up the TailBench config.
| PrepareTailBench | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tailbench.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tailbench.py | Apache-2.0 |
def _ParseResultsFile(input_file, name='') -> List[_TestResult]:
"""Reads from the file and returns a histogram.
Args:
input_file: a string input file name.
name: name of the test run that generated the file
Returns:
A list of TestResults, each with a histogram representing different types
of la... | Reads from the file and returns a histogram.
Args:
input_file: a string input file name.
name: name of the test run that generated the file
Returns:
A list of TestResults, each with a histogram representing different types
of latency values mapped to their number of occurrences in the results file... | _ParseResultsFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tailbench.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tailbench.py | Apache-2.0 |
def BuildHistogramSamples(
input_file, name='', metric='', additional_metadata=None
) -> List[sample.Sample]:
"""Builds a list of samples for a the results of a test.
Args:
input_file: a string input file name.
name: name of the test run that generated the file
metric: String. Metric name to use.
... | Builds a list of samples for a the results of a test.
Args:
input_file: a string input file name.
name: name of the test run that generated the file
metric: String. Metric name to use.
additional_metadata: dict. Additional metadata attaching to Sample.
Returns:
samples: List of sample objects ... | BuildHistogramSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tailbench.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tailbench.py | Apache-2.0 |
def RunTailbench(vm, tailbench_tests):
"""Runs up tailbench on the VM.
Args:
vm: The VM that we wish to run tailbench on.
tailbench_tests: A command line flag that determines which tailbench tests
we wish to run.
"""
vm.RemoteCommand(f'{INSTALL_DIR}/{TAILBENCH}/build.sh harness')
for test in ta... | Runs up tailbench on the VM.
Args:
vm: The VM that we wish to run tailbench on.
tailbench_tests: A command line flag that determines which tailbench tests
we wish to run.
| RunTailbench | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tailbench.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tailbench.py | Apache-2.0 |
def AptInstall(vm):
"""Installs the tcmalloc shared library on a Debian VM."""
if FLAGS.tcmalloc_version == 'off':
return
# Write tcmalloc settings as environment variables
settings = FLAGS.tcmalloc_settings.split(',')
for setting in settings:
if setting:
vm.RemoteCommand(
'echo "expo... | Installs the tcmalloc shared library on a Debian VM. | AptInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tcmalloc.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tcmalloc.py | Apache-2.0 |
def GetEnvironmentVars(vm):
"""Return a string containing TensorFlow-related environment variables.
Args:
vm: vm to get environment varibles
Returns:
string of environment variables
"""
env_vars = []
if nvidia_driver.CheckNvidiaGpuExists(vm):
output, _ = vm.RemoteCommand('getconf LONG_BIT')
... | Return a string containing TensorFlow-related environment variables.
Args:
vm: vm to get environment varibles
Returns:
string of environment variables
| GetEnvironmentVars | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tensorflow.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tensorflow.py | Apache-2.0 |
def GetTensorFlowVersion(vm):
"""Returns the version of tensorflow installed on the vm.
Args:
vm: the target vm on which to check the tensorflow version
Returns:
installed python tensorflow version as a string
"""
stdout, _ = vm.RemoteCommand(
'echo -e "import tensorflow\nprint(tensorflow.__ve... | Returns the version of tensorflow installed on the vm.
Args:
vm: the target vm on which to check the tensorflow version
Returns:
installed python tensorflow version as a string
| GetTensorFlowVersion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tensorflow.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tensorflow.py | Apache-2.0 |
def Install(vm):
"""Installs TensorFlow models on the VM."""
vm.InstallPackages('git')
vm.RemoteCommand('git clone {}'.format(TF_MODELS_GIT))
vm.RemoteCommand(
'cd models && git checkout {}'.format(FLAGS.tensorflow_models_commit_hash)
) | Installs TensorFlow models on the VM. | Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tensorflow_models.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tensorflow_models.py | Apache-2.0 |
def InstallTensorFlowServingAPI(vm):
"""Installs TF Serving API on the vm.
Currently this is only useful so that the clients can run python
scripts that import tensorflow_serving. The server vms make no use
of it.
Args:
vm: VM to operate on.
"""
pip_package_output_dir = posixpath.join(VM_TMP_DIR, '... | Installs TF Serving API on the vm.
Currently this is only useful so that the clients can run python
scripts that import tensorflow_serving. The server vms make no use
of it.
Args:
vm: VM to operate on.
| InstallTensorFlowServingAPI | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tensorflow_serving.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tensorflow_serving.py | Apache-2.0 |
def BuildDockerImages(vm):
"""Builds the Docker images from source Dockerfiles for a pre-built env."""
vm.InstallPackages('git')
vm.RemoteHostCommand(
'cd {} && git clone -b {} https://github.com/tensorflow/serving'.format(
linux_packages.INSTALL_DIR, FLAGS.tf_serving_branch
)
)
setup_... | Builds the Docker images from source Dockerfiles for a pre-built env. | BuildDockerImages | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tensorflow_serving.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tensorflow_serving.py | Apache-2.0 |
def Uninstall(vm):
"""Uninstalls TensorFlow Serving on the VM."""
vm.RemoteCommand('sudo pip uninstall -y tensorflow_serving_api')
vm.RemoteHostCommand('sudo docker rmi benchmarks/tensorflow-serving')
vm.RemoteHostCommand('sudo docker rmi benchmarks/tensorflow-serving-devel')
del vm | Uninstalls TensorFlow Serving on the VM. | Uninstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tensorflow_serving.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tensorflow_serving.py | Apache-2.0 |
def YumInstall(vm):
"""Installs the texinfo package on the VM."""
if vm.OS_TYPE == os_types.ROCKY_LINUX8:
vm.RemoteCommand('sudo dnf config-manager --set-enabled powertools')
elif vm.OS_TYPE == os_types.ROCKY_LINUX9:
vm.RemoteCommand('sudo dnf config-manager --set-enabled crb')
elif vm.OS_TYPE == os_typ... | Installs the texinfo package on the VM. | YumInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/texinfo.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/texinfo.py | Apache-2.0 |
def Install(vm):
"""Installs the tuned package on the VM."""
vm.InstallPackages('tuned')
vm.RemoteCommand('sudo systemctl enable --now tuned') | Installs the tuned package on the VM. | Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/tuned.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/tuned.py | Apache-2.0 |
def _Install(vm):
"""Installs the UnixBench package on the VM."""
vm.Install('build_tools')
vm.Install('wget')
vm.RemoteCommand(
'wget {} -P {}'.format(UNIXBENCH_URL, linux_packages.INSTALL_DIR)
)
vm.RemoteCommand(
'cd {} && tar xvzf {}'.format(linux_packages.INSTALL_DIR, UNIXBENCH_TAR)
) | Installs the UnixBench package on the VM. | _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/unixbench.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/unixbench.py | Apache-2.0 |
def _ParseOutput(output_text):
"""Parses the output of _LUA_SCRIPT_NAME.
Yields:
(variable_name, value, unit) tuples.
"""
if _CSV_PREFIX not in output_text:
raise ValueError('{} not found in\n{}'.format(_CSV_PREFIX, output_text))
csv_fp = six.StringIO(str(output_text).rsplit(_CSV_PREFIX, 1)[-1])
re... | Parses the output of _LUA_SCRIPT_NAME.
Yields:
(variable_name, value, unit) tuples.
| _ParseOutput | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/wrk.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/wrk.py | Apache-2.0 |
def Run(vm, target, connections=1, duration=60):
"""Runs wrk against a given target.
Args:
vm: Virtual machine.
target: URL to fetch.
connections: Number of concurrent connections.
duration: Duration of the test, in seconds.
Yields:
sample.Sample objects with results.
"""
threads = min(c... | Runs wrk against a given target.
Args:
vm: Virtual machine.
target: URL to fetch.
connections: Number of concurrent connections.
duration: Duration of the test, in seconds.
Yields:
sample.Sample objects with results.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/wrk.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/wrk.py | Apache-2.0 |
def _ParseOutput(output_text):
"""Parses the output of wrk2.
Args:
output_text: str. Output for wrk2
Yields:
(variable_name, value, unit) tuples.
Raises:
ValueError: When requests / latency statistics cannot be found.
"""
inner_pat = r'^\s*(\d+\.\d+)%\s+(\d+\.\d+)(us|ms|s|m)\s*\n'
regex = r... | Parses the output of wrk2.
Args:
output_text: str. Output for wrk2
Yields:
(variable_name, value, unit) tuples.
Raises:
ValueError: When requests / latency statistics cannot be found.
| _ParseOutput | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/wrk2.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/wrk2.py | Apache-2.0 |
def Run(
vm, target, rate, connections=1, duration=60, script_path=None, threads=None
):
"""Runs wrk against a given target.
Args:
vm: Virtual machine.
target: URL to fetch.
rate: int. Target request rate, in QPS.
connections: Number of concurrent connections.
duration: Duration of the test... | Runs wrk against a given target.
Args:
vm: Virtual machine.
target: URL to fetch.
rate: int. Target request rate, in QPS.
connections: Number of concurrent connections.
duration: Duration of the test, in seconds.
script_path: If specified, a lua script to execute.
threads: Number of threa... | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/wrk2.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/wrk2.py | Apache-2.0 |
def GetXgboostVersion(vm):
"""Returns the XGBoost version installed on the vm.
Args:
vm: the target vm on which to check the XGBoost version
Returns:
Installed python XGBoost version as a string
"""
stdout, _ = vm.RemoteCommand(
'echo -e "import xgboost\nprint(xgboost.__version__)" | '
f... | Returns the XGBoost version installed on the vm.
Args:
vm: the target vm on which to check the XGBoost version
Returns:
Installed python XGBoost version as a string
| GetXgboostVersion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/xgboost.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/xgboost.py | Apache-2.0 |
def _GetVersionFromUrl(url: str) -> int:
"""Returns the version from ycsb url string.
Args:
url: ycsb url string with format
'https://github.com/brianfrankcooper/YCSB/releases/'
'download/0.<version>.0/ycsb-0.<version>.0.tar.gz' OR
'https://storage.googleapis.com/<ycsb_client_jar>/ycsb-0.<ver... | Returns the version from ycsb url string.
Args:
url: ycsb url string with format
'https://github.com/brianfrankcooper/YCSB/releases/'
'download/0.<version>.0/ycsb-0.<version>.0.tar.gz' OR
'https://storage.googleapis.com/<ycsb_client_jar>/ycsb-0.<version>.0.tar.gz'
OR
'https://storag... | _GetVersionFromUrl | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _GetThreadsQpsPerLoaderList(num_vms: int) -> list[list[int]]:
"""Returns the list of [client, qps] per VM to use in staircase load."""
def _FormatThreadQps(thread_qps: str) -> list[int]:
thread_qps_pair = thread_qps.split(':')
if len(thread_qps_pair) == 1:
target = int(_TARGET_QPS.value / num_vms... | Returns the list of [client, qps] per VM to use in staircase load. | _GetThreadsQpsPerLoaderList | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _GetRunParameters() -> dict[str, str]:
"""Returns a dict of params from the --ycsb_run_parameters flag."""
result = {}
for kv in FLAGS.ycsb_run_parameters:
param, value = kv.split('=', 1)
result[param] = value
return result | Returns a dict of params from the --ycsb_run_parameters flag. | _GetRunParameters | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def CheckPrerequisites():
"""Verifies that the workload files are present and parameters are valid.
Raises:
IOError: On missing workload file.
errors.Config.InvalidValue on unsupported YCSB version or configs.
"""
for workload_file in GetWorkloadFileList():
if not os.path.exists(workload_file):
... | Verifies that the workload files are present and parameters are valid.
Raises:
IOError: On missing workload file.
errors.Config.InvalidValue on unsupported YCSB version or configs.
| CheckPrerequisites | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def Install(vm):
"""Installs the YCSB and, if needed, hdrhistogram package on the VM."""
vm.Install('openjdk')
# TODO(user): replace with Python 3 when
# https://github.com/brianfrankcooper/YCSB/commit/f8e7c64 is released in a
# version
vm.InstallPackages('python2.7 curl')
# ycsb.py uses /usr/bin/env pyth... | Installs the YCSB and, if needed, hdrhistogram package on the VM. | Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def ParseWorkload(contents):
"""Parse a YCSB workload file.
YCSB workloads are Java .properties format.
http://en.wikipedia.org/wiki/.properties
This function does not support all .properties syntax, in particular escaped
newlines.
Args:
contents: str. Contents of the file.
Returns:
dict mappin... | Parse a YCSB workload file.
YCSB workloads are Java .properties format.
http://en.wikipedia.org/wiki/.properties
This function does not support all .properties syntax, in particular escaped
newlines.
Args:
contents: str. Contents of the file.
Returns:
dict mapping from property key to property va... | ParseWorkload | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def PushWorkload(vm, workload_file, remote_path):
"""Pushes the workload file to the VM."""
if os.path.basename(remote_path):
vm.RemoteCommand('sudo rm -f ' + remote_path)
vm.PushFile(workload_file, remote_path) | Pushes the workload file to the VM. | PushWorkload | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _default_preload_threads(self):
"""The default number of threads to use for pre-populating the DB."""
if FLAGS['ycsb_preload_threads'].present:
return FLAGS.ycsb_preload_threads
return DEFAULT_PRELOAD_THREADS | The default number of threads to use for pre-populating the DB. | _default_preload_threads | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _LoadThreaded(self, vms, workload_file, **kwargs):
"""Runs "Load" in parallel for each VM in VMs.
Args:
vms: List of virtual machine instances. client nodes.
workload_file: YCSB Workload file to use.
**kwargs: Additional key-value parameters to pass to YCSB.
Returns:
List of sa... | Runs "Load" in parallel for each VM in VMs.
Args:
vms: List of virtual machine instances. client nodes.
workload_file: YCSB Workload file to use.
**kwargs: Additional key-value parameters to pass to YCSB.
Returns:
List of sample.Sample objects.
Raises:
IOError: If number of r... | _LoadThreaded | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _Run(self, vm, **kwargs):
"""Run a single workload from a client vm."""
for pv in FLAGS.ycsb_run_parameters:
param, value = pv.split('=', 1)
kwargs[param] = value
command = self._BuildCommand('run', **kwargs)
# YCSB version greater than 0.7.0 output some of the
# info we need to stde... | Run a single workload from a client vm. | _Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _Run(loader_index):
"""Run YCSB on an individual VM."""
vm = vms[loader_index]
params = copy.deepcopy(kwargs)
params['target'] = targets[loader_index]
if self.perclientparam is not None:
params.update(self.perclientparam[loader_index])
if self.shardkeyspace:
start... | Run YCSB on an individual VM. | _Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def RunStaircaseLoads(self, vms, workloads, **kwargs):
"""Run each workload in 'workloads' in succession.
A staircase load is applied for each workload file, for each entry in
ycsb_threads_per_client.
Args:
vms: List of VirtualMachine objects to generate load from.
workloads: List of workl... | Run each workload in 'workloads' in succession.
A staircase load is applied for each workload file, for each entry in
ycsb_threads_per_client.
Args:
vms: List of VirtualMachine objects to generate load from.
workloads: List of workload file names.
**kwargs: Additional parameters to pass ... | RunStaircaseLoads | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def Run(
self, vms, workloads=None, run_kwargs=None, database=None
) -> list[sample.Sample]:
"""Runs each workload/client count combination."""
if FLAGS.ycsb_skip_run_stage:
return []
workloads = workloads or GetWorkloadFileList()
assert workloads, 'no workloads'
if not run_kwargs:
... | Runs each workload/client count combination. | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _RunBurstMode(self, vms, workloads, run_kwargs=None):
"""Runs YCSB in burst mode, where the second run has increased QPS."""
run_params = _GetRunParameters()
initial_qps = int(run_params.get('target', 0))
samples = list(self.RunStaircaseLoads(vms, workloads, **run_kwargs))
# Attach metadata for... | Runs YCSB in burst mode, where the second run has increased QPS. | _RunBurstMode | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _RunIncrementalMode(
self,
vms: Sequence[virtual_machine.VirtualMachine],
workloads: Sequence[str],
run_kwargs: Mapping[str, str] = None,
) -> list[sample.Sample]:
"""Runs YCSB by gradually incrementing target QPS.
Note that this requires clients to be overprovisioned, as the targ... | Runs 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 th... | _RunIncrementalMode | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _RunLowestLatencyMode(
self,
vms: Sequence[virtual_machine.VirtualMachine],
workloads: Sequence[str],
run_kwargs: Mapping[str, str] = None,
database: resource.BaseResource = None,
) -> list[sample.Sample]:
"""Finds the lowest sustainable latency of the target.
Args:
vm... | Finds the lowest sustainable latency of the target.
Args:
vms: The client VMs to generate the load.
workloads: List of workloads to run.
run_kwargs: Extra run arguments.
database: Database resource to run against.
Returns:
A list of samples of benchmark results.
| _RunLowestLatencyMode | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _RunWorkload(target_qps: int) -> list[sample.Sample]:
"""Runs the workload at the target throughput."""
run_params = _GetRunParameters()
run_params['target'] = target_qps
self._SetClientThreadCount(
min(target_qps, int(FLAGS.ycsb_threads_per_client[0]))
)
self._SetRunPa... | Runs the workload at the target throughput. | _RunWorkload | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _ProcessSamples(
samples: list[sample.Sample], database: resource.BaseResource
) -> list[sample.Sample]:
"""Attaches useful metadata to the result samples."""
end_timestamp = datetime.datetime.fromtimestamp(
samples[0].timestamp, tz=datetime.timezone.utc
)
cpu_utilizati... | Attaches useful metadata to the result samples. | _ProcessSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _RunCpuMode(
self,
vms: list[virtual_machine.VirtualMachine],
workloads: Sequence[str],
run_kwargs: Mapping[str, Any],
database: resource.BaseResource,
) -> list[sample.Sample]:
"""Runs YCSB until the CPU utilization is over the recommended amount.
Args:
vms: The clien... | Runs YCSB until the CPU utilization is over the recommended amount.
Args:
vms: The client VMs that will be used to push the load.
workloads: List of workloads to run.
run_kwargs: A mapping of additional YCSB run args to pass to the test.
database: This class must implement CalculateTheoreti... | _RunCpuMode | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _GetReadAndUpdateProportion(workload: str) -> tuple[float, float]:
"""Gets the starting throughput to start the test with."""
with open(workload) as f:
workload_args = ParseWorkload(f.read())
return float(workload_args['readproportion']), float(
workload_args['updateproportion']
... | Gets the starting throughput to start the test with. | _GetReadAndUpdateProportion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _ExecuteWorkload(target_qps: int) -> list[sample.Sample]:
"""Executes the workload after setting run-specific args."""
run_kwargs['target'] = target_qps
run_kwargs['maxexecutiontime'] = (
CPU_OPTIMIZATION_INCREMENT_MINS.value * 60
)
return self.RunStaircaseLoads(vms, workload... | Executes the workload after setting run-specific args. | _ExecuteWorkload | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _RunCpuModeSingleWorkload(workload: str) -> list[sample.Sample]:
"""Runs the CPU utilization test for a single workload."""
read_percent, update_percent = _GetReadAndUpdateProportion(workload)
theoretical_max_qps = database.CalculateTheoreticalMaxThroughput(
read_percent, update_percent
... | Runs the CPU utilization test for a single workload. | _RunCpuModeSingleWorkload | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _RunLatencyThresholdMode(
self,
vms: list[virtual_machine.VirtualMachine],
workload: str,
run_kwargs: Mapping[str, Any],
) -> list[sample.Sample]:
"""Runs YCSB until client side latency is within the threshold.
Args:
vms: The client VMs that will be used to push the load.
... | Runs YCSB until client side latency is within the threshold.
Args:
vms: The client VMs that will be used to push the load.
workload: List of workloads to run.
run_kwargs: A mapping of additional YCSB run args to pass to the test.
Returns:
A list of samples from the YCSB test within the... | _RunLatencyThresholdMode | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _RunLatencyThresholdModeSingleWorkload() -> list[sample.Sample]:
"""Runs the latency threshold test for a single workload."""
max_throughput_samples = _ExecuteWorkload(
target_qps=0, duration_mins=_LATENCY_THRESHOLD_WARMUP_MINS.value
)
for s in max_throughput_samples:
s.met... | Runs the latency threshold test for a single workload. | _RunLatencyThresholdModeSingleWorkload | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def LoadAndRun(self, vms, workloads=None, load_kwargs=None, run_kwargs=None):
"""Load data using YCSB, then run each workload/client count combination.
Loads data using the workload defined by 'workloads', then
executes YCSB for each workload file in 'workloads', for each
client count defined in FLAGS.... | Load data using YCSB, then run each workload/client count combination.
Loads data using the workload defined by 'workloads', then
executes YCSB for each workload file in 'workloads', for each
client count defined in FLAGS.ycsb_threads_per_client.
Generally database benchmarks using YCSB should only ne... | LoadAndRun | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb.py | Apache-2.0 |
def _IsStatusLatencyStatistic(stat_name: str) -> bool:
"""Returns whether a name is a latency statistic (i.e. "99.9")."""
return (
stat_name.replace('.', '', 1).isdigit() or stat_name in _STATUS_LATENCIES
) | Returns whether a name is a latency statistic (i.e. "99.9"). | _IsStatusLatencyStatistic | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def FromSummaryLines(
cls, lines: Iterable[str], operation: str, data_type: str
) -> '_OpResult':
"""Returns an _OpResult parsed from YCSB summary lines.
Example format:
[UPDATE], Operations, 2468054
[UPDATE], AverageLatency(us), 2218.8513395574005
[UPDATE], MinLatency(us), 554
... | Returns an _OpResult parsed from YCSB summary lines.
Example format:
[UPDATE], Operations, 2468054
[UPDATE], AverageLatency(us), 2218.8513395574005
[UPDATE], MinLatency(us), 554
[UPDATE], MaxLatency(us), 352634
[UPDATE], 95thPercentileLatency(ms), 4
[UPDATE], 99thPercentileLaten... | FromSummaryLines | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def FromStatusLine(cls, match: re.Match[str]) -> '_OpResult':
"""Returns an _OpResult from a _STATUS_GROUPS_PATTERN match.
Example format:
[READ: Count=33, Max=11487, Min=2658, Avg=4987.36,
90=8271, 99=11487, 99.9=11487, 99.99=11487]
Args:
match: Match object that matches _STATUS_GROUPS_PATT... | Returns an _OpResult from a _STATUS_GROUPS_PATTERN match.
Example format:
[READ: Count=33, Max=11487, Min=2658, Avg=4987.36,
90=8271, 99=11487, 99.9=11487, 99.99=11487]
Args:
match: Match object that matches _STATUS_GROUPS_PATTERN.
Returns:
An _OpResult object with group and statistic... | FromStatusLine | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def SplitStatusTimeSeriesForSamples(
self,
) -> dict[str, dict[str, list[tuple[int, float]]]]:
"""Yields individual time series by operation type (i.e. read/update)."""
time_series_by_op_and_stat = collections.defaultdict(
lambda: collections.defaultdict(list)
)
status_results = sorted(s... | Yields individual time series by operation type (i.e. read/update). | SplitStatusTimeSeriesForSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def WriteStatusTimeSeriesToFile(self) -> None:
"""Writes time series for each operation to separate file in tempdir."""
stats_to_write = ['time'] + sorted(self._GetStatsToWrite())
written_headers = []
for timestamp, status_result in sorted(self.status_time_series.items()):
for op_result in status_... | Writes time series for each operation to separate file in tempdir. | WriteStatusTimeSeriesToFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def _ParseStatusLine(line: str) -> Iterator[_OpResult]:
"""Returns a list of _OpResults from granular YCSB status output."""
matches = re.finditer(_STATUS_GROUPS_PATTERN, line)
return (_OpResult.FromStatusLine(match) for match in matches) | Returns a list of _OpResults from granular YCSB status output. | _ParseStatusLine | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def _ValidateErrorRate(result: YcsbResult, threshold: float) -> None:
"""Raises an error if results contains entries with too high error rate.
Computes the error rate for each operation, example output looks like:
[INSERT], Operations, 90
[INSERT], AverageLatency(us), 74.92
[INSERT], MinLatency(us), 5... | Raises an error if results contains entries with too high error rate.
Computes the error rate for each operation, example output looks like:
[INSERT], Operations, 90
[INSERT], AverageLatency(us), 74.92
[INSERT], MinLatency(us), 5
[INSERT], MaxLatency(us), 98495
[INSERT], 95thPercentileLatency(us... | _ValidateErrorRate | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def ParseResults(
ycsb_result_string: str,
data_type: str = 'histogram',
error_rate_threshold: float = 1.0,
timestamp_offset_sec: int = 0,
epoch_start_time: int = 0,
) -> 'YcsbResult':
"""Parse YCSB results.
Example input for histogram datatype:
YCSB Client 0.1
Command line: -db com.ya... | Parse YCSB results.
Example input for histogram datatype:
YCSB Client 0.1
Command line: -db com.yahoo.ycsb.db.HBaseClient -P /tmp/pkb/workloada
[OVERALL], RunTime(ms), 1800413.0
[OVERALL], Throughput(ops/sec), 2740.503428935472
[UPDATE], Operations, 2468054
[UPDATE], AverageLatency(us), 2218... | ParseResults | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def ParseHdrLogFile(logfile: str) -> list[_HdrHistogramTuple]:
"""Parse a hdrhistogram log file into a list of (percentile, latency, count).
Example decrypted hdrhistogram logfile (value measures latency in microsec):
#[StartTime: 1523565997 (seconds since epoch), Thu Apr 12 20:46:37 UTC 2018]
Value ... | Parse a hdrhistogram log file into a list of (percentile, latency, count).
Example decrypted hdrhistogram logfile (value measures latency in microsec):
#[StartTime: 1523565997 (seconds since epoch), Thu Apr 12 20:46:37 UTC 2018]
Value Percentile TotalCount 1/(1-Percentile)
314.000 0.000000000000 ... | ParseHdrLogFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def ParseHdrLogs(
hdrlogs: Mapping[str, str],
) -> dict[str, list[_HdrHistogramTuple]]:
"""Parse a dict of group to hdr logs into a dict of group to histogram tuples.
Args:
hdrlogs: Dict of group (read or update) to hdr logs for that group.
Returns:
Dict of group to histogram tuples of reportable pe... | Parse a dict of group to hdr logs into a dict of group to histogram tuples.
Args:
hdrlogs: Dict of group (read or update) to hdr logs for that group.
Returns:
Dict of group to histogram tuples of reportable percentile values.
| ParseHdrLogs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def _WeightedQuantile(x, weights, p):
"""Weighted quantile measurement for an ordered list.
This method interpolates to the higher value when the quantile is not a direct
member of the list. This works well for YCSB, since latencies are floored.
Args:
x: List of values.
weights: List of numeric weight... | Weighted quantile measurement for an ordered list.
This method interpolates to the higher value when the quantile is not a direct
member of the list. This works well for YCSB, since latencies are floored.
Args:
x: List of values.
weights: List of numeric weights.
p: float. Desired quantile in the in... | _WeightedQuantile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def _PercentilesFromHistogram(ycsb_histogram, percentiles=_DEFAULT_PERCENTILES):
"""Calculate percentiles for from a YCSB histogram.
Args:
ycsb_histogram: List of (time_ms, frequency) tuples.
percentiles: iterable of floats, in the interval [0, 100].
Returns:
dict, mapping from percentile to value.
... | Calculate percentiles for from a YCSB histogram.
Args:
ycsb_histogram: List of (time_ms, frequency) tuples.
percentiles: iterable of floats, in the interval [0, 100].
Returns:
dict, mapping from percentile to value.
Raises:
ValueError: If one or more percentiles are outside [0, 100].
| _PercentilesFromHistogram | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def CombineResults(
result_list: Iterable[YcsbResult],
measurement_type: str,
combined_hdr: Mapping[str, list[_HdrHistogramTuple]],
):
"""Combine results from multiple YCSB clients.
Reduces a list of YCSB results (the output of ParseResults)
into a single result. Histogram bin counts, operation count... | Combine results from multiple YCSB clients.
Reduces a list of YCSB results (the output of ParseResults)
into a single result. Histogram bin counts, operation counts, and throughput
are summed; RunTime is replaced by the maximum runtime of any result.
Args:
result_list: Iterable of ParseResults outputs.
... | CombineResults | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def DropUnaggregated(result: YcsbResult) -> None:
"""Remove statistics which 'operators' specify should not be combined."""
drop_keys = {k for k, v in AGGREGATE_OPERATORS.items() if v is None}
for group in result.groups.values():
for k in drop_keys:
group.statistics.pop(k, None) | Remove statistics which 'operators' specify should not be combined. | DropUnaggregated | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def _CombineLatencyTimeSeries(
combined_series: list[tuple[int, float]],
individual_series: list[tuple[int, float]],
) -> list[tuple[int, float]]:
"""Combines two timeseries of average latencies.
Args:
combined_series: A list representing the timeseries with which the
individual ser... | Combines two timeseries of average latencies.
Args:
combined_series: A list representing the timeseries with which the
individual series is being merged.
individual_series: A list representing the timeseries being merged with
the combined series.
Returns:
A list representing ... | _CombineLatencyTimeSeries | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def _CombineStatistics(result1: _OpResult, result2: _OpResult) -> _OpResult:
"""Combines reported statistics.
If no combining operator is defined, the statistic is skipped.
Otherwise, the aggregated value is either:
* The value in 'indiv', if the statistic is not present in 'result' or
* AGGREGATE_... | Combines reported statistics.
If no combining operator is defined, the statistic is skipped.
Otherwise, the aggregated value is either:
* The value in 'indiv', if the statistic is not present in 'result' or
* AGGREGATE_OPERATORS[statistic](result_value, indiv_value)
Args:
result1: First _OpR... | _CombineStatistics | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def _CombineOpResultLists(
list1: Iterable[_OpResult], list2: Iterable[_OpResult]
) -> list[_OpResult]:
"""Combines two lists of _OpResult into a single list."""
list1_by_operation = {result.group: result for result in list1}
list2_by_operation = {result.group: result for result in list2}
result... | Combines two lists of _OpResult into a single list. | _CombineOpResultLists | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def _CombineStatusTimeSeries(
series1: Mapping[int, _StatusResult], series2: Mapping[int, _StatusResult]
) -> dict[int, _StatusResult]:
"""Returns a combined dict of [timestamp, result] from the two series."""
timestamps1 = set(series1)
timestamps2 = set(series2)
all_timestamps = timestamps1 | t... | Returns a combined dict of [timestamp, result] from the two series. | _CombineStatusTimeSeries | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def CombineHdrHistogramLogFiles(
hdr_install_dir: str,
hdr_files_dir: str,
vms: Iterable[virtual_machine.VirtualMachine],
) -> dict[str, str]:
"""Combine multiple hdr histograms by group type.
Combine multiple hdr histograms in hdr log files format into 1 human
readable hdr histogram log file.
This... | Combine multiple hdr histograms by group type.
Combine multiple hdr histograms in hdr log files format into 1 human
readable hdr histogram log file.
This is done by
1) copying hdrhistogram log files to a single file on a worker vm;
2) aggregating file containing multiple %-tile histogram into
a single %... | CombineHdrHistogramLogFiles | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def ExtractStats(
samples: list[sample.Sample], percentile: str
) -> ThroughputLatencyResult:
"""Returns the throughput and latency recorded in the samples."""
throughput, read_latency, update_latency = 0, 0, 0
for result in samples:
if result.metric == 'overall Throughput':
throughput = result.valu... | Returns the throughput and latency recorded in the samples. | ExtractStats | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ycsb_stats.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ycsb_stats.py | Apache-2.0 |
def LoadProviderFlags(providers):
"""Imports just the flags module for each provider.
This allows PKB to load flag definitions from each provider to include in the
help text without actually loading any other provider-specific modules.
Args:
providers: series of strings. Each element is a value from VALID... | Imports just the flags module for each provider.
This allows PKB to load flag definitions from each provider to include in the
help text without actually loading any other provider-specific modules.
Args:
providers: series of strings. Each element is a value from VALID_CLOUDS
indicating a cloud provid... | LoadProviderFlags | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/__init__.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/__init__.py | Apache-2.0 |
def LoadProvider(provider_name, ignore_package_requirements=True):
"""Loads the all modules in the 'provider_name' package.
This function first checks the specified provider's Python package
requirements file, if one exists, and verifies that all requirements are met.
Next, it loads all modules in the specifie... | Loads the all modules in the 'provider_name' package.
This function first checks the specified provider's Python package
requirements file, if one exists, and verifies that all requirements are met.
Next, it loads all modules in the specified provider's package. By loading
these modules, relevant classes (e.g.... | LoadProvider | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/providers/__init__.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/providers/__init__.py | Apache-2.0 |
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