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 Run(spec: benchmark_spec.BenchmarkSpec) -> List[sample.Sample]:
"""Measure the stop and start times for the VMs.
Args:
spec: The benchmark specification.
Returns:
An empty list (all samples will be added later).
"""
samples = []
samples.extend(_MeasureStop(spec.vms))
samples.extend(_MeasureS... | Measure the stop and start times for the VMs.
Args:
spec: The benchmark specification.
Returns:
An empty list (all samples will be added later).
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/vm_stop_start_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/vm_stop_start_benchmark.py | Apache-2.0 |
def Prepare(bm_spec: benchmark_spec.BenchmarkSpec) -> None:
"""Install and set up XGBoost on the target vm.
Args:
bm_spec: The benchmark specification
"""
vm = bm_spec.vms[0]
if _USE_GPU.value:
vm.Install('cuda_toolkit')
vm.RemoteCommand('git clone https://github.com/ray-project/xgboost_ray.git')
... | Install and set up XGBoost on the target vm.
Args:
bm_spec: The benchmark specification
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/xgboost_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/xgboost_benchmark.py | Apache-2.0 |
def Run(bm_spec: benchmark_spec.BenchmarkSpec) -> List[sample.Sample]:
"""Run XGBoost on the cluster.
Args:
bm_spec: The benchmark specification
Returns:
A list of sample.Sample objects.
"""
vm = bm_spec.vms[0]
cmd = [
FLAGS.xgboost_env,
'python3',
'xgboost_ray/xgboost_ray/tests/... | Run XGBoost on the cluster.
Args:
bm_spec: The benchmark specification
Returns:
A list of sample.Sample objects.
| Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/xgboost_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/xgboost_benchmark.py | Apache-2.0 |
def GetConfig(user_config: Dict[Any, Any]) -> Dict[Any, Any]:
"""Merge BENCHMARK_CONFIG with user_config to create benchmark_spec.
Args:
user_config: user-define configs (through FLAGS.benchmark_config_file or
FLAGS.config_override).
Returns:
merged configs
"""
config = configs.LoadConfig(BENC... | Merge BENCHMARK_CONFIG with user_config to create benchmark_spec.
Args:
user_config: user-define configs (through FLAGS.benchmark_config_file or
FLAGS.config_override).
Returns:
merged configs
| GetConfig | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/combo_benchmarks/fio_netperf_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/combo_benchmarks/fio_netperf_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec: bm_spec.BenchmarkSpec) -> None:
"""Prepare both benchmarks on the target vm.
Args:
benchmark_spec: The benchmark specification.
"""
min_test_length = min(
FLAGS.netperf_test_length * len(FLAGS.netperf_num_streams),
FLAGS.fio_runtime * len(FLAGS.fio_generate_scenarios... | Prepare both benchmarks on the target vm.
Args:
benchmark_spec: The benchmark specification.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/combo_benchmarks/fio_netperf_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/combo_benchmarks/fio_netperf_benchmark.py | Apache-2.0 |
def Run(benchmark_spec: bm_spec.BenchmarkSpec) -> List[sample.Sample]:
"""Runs both benchmarks in parallel.
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 benchma... | Runs both benchmarks in parallel.
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/combo_benchmarks/fio_netperf_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/combo_benchmarks/fio_netperf_benchmark.py | Apache-2.0 |
def FillDevice(vm, disk, fill_size, exec_path):
"""Fill the given disk on the given vm up to fill_size.
Args:
vm: a linux_virtual_machine.BaseLinuxMixin object.
disk: a disk.BaseDisk attached to the given vm.
fill_size: amount of device to fill, in fio format.
exec_path: string path to the fio exec... | Fill the given disk on the given vm up to fill_size.
Args:
vm: a linux_virtual_machine.BaseLinuxMixin object.
disk: a disk.BaseDisk attached to the given vm.
fill_size: amount of device to fill, in fio format.
exec_path: string path to the fio executable
| FillDevice | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | Apache-2.0 |
def GetScenarioFromScenarioString(scenario_string):
"""Extract rwkind,blocksize,size from scenario string."""
# look for legacy entries in the scenario map first
result = (
SCENARIOS.get(scenario_string, None)
if fio_flags.FIO_USE_DEFAULT_SCENARIOS.value
else None
)
if result:
# return a... | Extract rwkind,blocksize,size from scenario string. | GetScenarioFromScenarioString | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | Apache-2.0 |
def GenerateJobFileString(
filename: str,
scenario_strings: list[str],
io_depths: list[int] | None,
num_jobs: list[int] | None,
working_set_size: int | None,
block_size: Any,
runtime: int,
ramptime: int,
direct: bool,
parameters: list[str],
raw_files: list[str],
require_m... | Make a string with our fio job file.
Args:
filename: the file or disk we pre-filled, if any.
scenario_strings: list of strings with names in SCENARIOS.
io_depths: iterable of integers. The IO queue depths to test.
num_jobs: iterable of integers. The number of fio processes to test.
working_set_si... | GenerateJobFileString | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | Apache-2.0 |
def ProcessedJobFileString(fio_jobfile_contents, remove_filename):
"""Modify the fio job if requested.
Args:
fio_jobfile_contents: the contents of a fio job file.
remove_filename: bool. If true, remove the filename parameter from the job
file.
Returns:
The job file as a string, possibly withou... | Modify the fio job if requested.
Args:
fio_jobfile_contents: the contents of a fio job file.
remove_filename: bool. If true, remove the filename parameter from the job
file.
Returns:
The job file as a string, possibly without filename parameters.
| ProcessedJobFileString | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | Apache-2.0 |
def GetOrGenerateJobFileString(
job_file_path,
scenario_strings,
against_device,
disks,
io_depths,
num_jobs,
working_set_size,
block_size,
runtime,
ramptime,
direct,
parameters,
job_file_contents,
require_merge,
):
"""Get the contents of the fio job file we're w... | Get the contents of the fio job file we're working with.
This will either read the user's job file, if given, or generate a
new one.
Args:
job_file_path: string or None. The path to the user's job file, if provided.
scenario_strings: list of strings or None. The workload scenarios to
generate.
... | GetOrGenerateJobFileString | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | Apache-2.0 |
def WarnOnBadFlags():
"""Warn the user if they pass bad flag combinations."""
if fio_flags.FIO_JOBFILE.value:
ignored_flags = {
'--' + flag_name
for flag_name in fio_flags.FLAGS_IGNORED_FOR_CUSTOM_JOBFILE
if FLAGS[flag_name].present
}
if ignored_flags:
logging.warning(
... | Warn the user if they pass bad flag combinations. | WarnOnBadFlags | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | Apache-2.0 |
def Prepare(benchmark_spec):
"""Prepare VM's in benchmark_spec to run FIO.
Args:
benchmark_spec: The benchmarks specification.
"""
exec_path = fio.GetFioExec()
vms = benchmark_spec.vms
background_tasks.RunThreaded(lambda vm: PrepareWithExec(vm, exec_path), vms) | Prepare VM's in benchmark_spec to run FIO.
Args:
benchmark_spec: The benchmarks specification.
| Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | Apache-2.0 |
def PrepareWithExec(vm, exec_path):
"""Prepare the virtual machine to run FIO.
This includes installing fio, bc, and libaio1 and pre-filling the
attached disk. We also make sure the job file is always located
at the same path on the local machine.
Args:
vm: The virtual machine to prepare the be... | Prepare the virtual machine to run FIO.
This includes installing fio, bc, and libaio1 and pre-filling the
attached disk. We also make sure the job file is always located
at the same path on the local machine.
Args:
vm: The virtual machine to prepare the benchmark on.
exec_path: string path to... | PrepareWithExec | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | Apache-2.0 |
def RunFioOnVMs(vms):
"""Spawn fio on vm(s) and gather results.
Args:
vms: A list of VMs to run FIO on.
Returns:
A list of sample.Sample objects.
"""
fio_exe = fio.GetFioExec()
default_job_file_contents = GetFileAsString(data.ResourcePath('fio.job'))
samples = []
path = REMOTE_JOB_FILE_PATH
... | Spawn fio on vm(s) and gather results.
Args:
vms: A list of VMs to run FIO on.
Returns:
A list of sample.Sample objects.
| RunFioOnVMs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | Apache-2.0 |
def RunWithExec(
vm,
exec_path,
remote_job_file_path,
job_file_contents,
fio_generate_scenarios=None,
):
"""Spawn fio and gather the results. Used by Windows FIO as well.
Args:
vm: vm to run the benchmark on.
exec_path: string path to the fio executable.
remote_job_file_path: path, ... | Spawn fio and gather the results. Used by Windows FIO as well.
Args:
vm: vm to run the benchmark on.
exec_path: string path to the fio executable.
remote_job_file_path: path, on the vm, to the location of the job file.
job_file_contents: string contents of the fio job file.
fio_generate_scenarios... | RunWithExec | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_benchmark.py | Apache-2.0 |
def Run(spec: benchmark_spec.BenchmarkSpec) -> list[sample.Sample]:
"""Runs FIO benchmark with latency SLA."""
vm = spec.vms[0]
iodepth = 50
numjobs = 2 * vm.num_cpus
ValidateDefaultIODepthAndNumjobs(
vm, iodepth, numjobs
)
benchmark_params = {
'latency_target': fio_flags.FIO_LATENCY_TARGET.va... | Runs FIO benchmark with latency SLA. | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_latency_sla_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_latency_sla_benchmark.py | Apache-2.0 |
def ValidateDefaultIODepthAndNumjobs(vm, iodepth, numjobs):
"""Run FIO benchmark to make sure iodepth and numjobs are enough for to max IOPS under latency SLA."""
benchmark_params = {
'iodepth': iodepth,
'numjobs': numjobs,
'runtime': 10
}
job_file_str = utils.GenerateJobFile(
vm.scratch... | Run FIO benchmark to make sure iodepth and numjobs are enough for to max IOPS under latency SLA. | ValidateDefaultIODepthAndNumjobs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_latency_sla_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_latency_sla_benchmark.py | Apache-2.0 |
def GetFioParameters(self, scenario_string, benchmark_params):
"""Parses the scenario string and returns the fio parameters.
Args:
scenario_string: The scenario string to parse.
benchmark_params: Parameters set by the benchmark.
Returns:
A tuple containing the rwkind, blocksize, workings... | Parses the scenario string and returns the fio parameters.
Args:
scenario_string: The scenario string to parse.
benchmark_params: Parameters set by the benchmark.
Returns:
A tuple containing the rwkind, blocksize, workingset, and extra
parameters.
| GetFioParameters | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_scenario_parser.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_scenario_parser.py | Apache-2.0 |
def GetScenarioFromScenarioStringAndParams(
self, scenario_string, benchmark_params
):
"""Generate Scenario from scenario string and benchmark parameters."""
fio_parameters = self.GetFioParameters(scenario_string, benchmark_params)
# required fields of JOB_FILE_TEMPLATE
result = {
'rwkin... | Generate Scenario from scenario string and benchmark parameters. | GetScenarioFromScenarioStringAndParams | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/fio_scenario_parser.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/fio_scenario_parser.py | Apache-2.0 |
def ParseJobFile(job_file, merge=False):
"""Parse fio job file as dictionaries of sample metadata.
Args:
job_file: The contents of fio job file.
merge: whether the job files need to be merged later.
Returns:
A dictionary of dictionaries of sample metadata, using test name as keys,
dictionari... | Parse fio job file as dictionaries of sample metadata.
Args:
job_file: The contents of fio job file.
merge: whether the job files need to be merged later.
Returns:
A dictionary of dictionaries of sample metadata, using test name as keys,
dictionaries of sample metadata as value.
| ParseJobFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/result_parser.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/result_parser.py | Apache-2.0 |
def ParseResults(
job_file,
fio_json_result,
base_metadata=None,
skip_latency_individual_stats=False,
require_merge=False,
):
"""Parse fio json output into samples.
Args:
job_file: The contents of the fio job file.
fio_json_result: Fio results in json format.
base_metadata: Extra me... | Parse fio json output into samples.
Args:
job_file: The contents of the fio job file.
fio_json_result: Fio results in json format.
base_metadata: Extra metadata to annotate the samples with.
skip_latency_individual_stats: Bool. If true, skips pulling latency stats
that are not aggregate.
re... | ParseResults | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/result_parser.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/result_parser.py | Apache-2.0 |
def GenerateJobFile(
disks,
scenarios_list,
benchmark_params=None,
job_file='fio-parent.job',
):
"""Generates a fio job file based on the provided disks and flags.
Args:
disks: A list of disk objects.
scenarios_list: A list of scenario strings.
benchmark_params: A dict for fio test spec... | Generates a fio job file based on the provided disks and flags.
Args:
disks: A list of disk objects.
scenarios_list: A list of scenario strings.
benchmark_params: A dict for fio test specific parameters.
job_file: The name of the job file.
Returns:
A string containing the contents of the fio j... | GenerateJobFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/utils.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/utils.py | Apache-2.0 |
def Prefill(vm, exec_path):
"""Prefills the target device or file on the given VM."""
if len(vm.scratch_disks) > 1 and not AgainstDevice():
raise errors.Setup.InvalidSetupError(
f'Target mode {fio_flags.FIO_TARGET_MODE.value} tests against 1 file, '
'but multiple scratch disks are configured.'
... | Prefills the target device or file on the given VM. | Prefill | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/utils.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/utils.py | Apache-2.0 |
def MountDisk(vm):
"""Mounts Disks for fio.
Args:
vm: a linux_virtual_machine.BaseLinuxMixin object.
"""
# We only need to format and mount if the target mode is against
# file with fill because 1) if we're running against the device, we
# don't want it mounted and 2) if we're running against a file
... | Mounts Disks for fio.
Args:
vm: a linux_virtual_machine.BaseLinuxMixin object.
| MountDisk | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/utils.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/utils.py | Apache-2.0 |
def RunTest(vm, exec_path, job_file_string):
"""Runs the fio test on the VM using the provided executable path.
Args:
vm: a linux_virtual_machine.BaseLinuxMixin object.
exec_path: string path to the fio executable.
job_file_string: string content of the fio job file.
Returns:
A list of sample.Sa... | Runs the fio test on the VM using the provided executable path.
Args:
vm: a linux_virtual_machine.BaseLinuxMixin object.
exec_path: string path to the fio executable.
job_file_string: string content of the fio job file.
Returns:
A list of sample.Sample objects.
| RunTest | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/fio/utils.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/fio/utils.py | Apache-2.0 |
def Prepare(bm_spec: benchmark_spec.BenchmarkSpec):
"""Provision container, because it's not handled by provision stage."""
cluster = bm_spec.container_cluster
assert cluster
container = bm_spec.container_specs[SPEC_NAME]
logging.info('Deploying container with image %s', container.image)
cluster.DeployConta... | Provision container, because it's not handled by provision stage. | Prepare | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_container_cluster_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_container_cluster_benchmark.py | Apache-2.0 |
def _BenchmarkClusterResize(
cluster: container_service.KubernetesCluster,
) -> List[sample.Sample]:
"""Time resizing the cluster.
Rather than manually creating a pod like when provisioned, deploy a daemonset
before the resize and read from logs how how long it takes the daemonset to
add the pod.
Args:
... | Time resizing the cluster.
Rather than manually creating a pod like when provisioned, deploy a daemonset
before the resize and read from logs how how long it takes the daemonset to
add the pod.
Args:
cluster: The cluster to test resizing.
Returns:
The samples timing the cluster resize.
| _BenchmarkClusterResize | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_container_cluster_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_container_cluster_benchmark.py | Apache-2.0 |
def _GetKeyScalingEventTimes(
cluster: container_service.KubernetesCluster, new_node: str, new_pod: str
) -> dict[str, float]:
"""Extract the time of each known milestone."""
events = cluster.GetEvents()
node_events = list(
event
for event in events
if event.resource.kind == 'Node' and event... | Extract the time of each known milestone. | _GetKeyScalingEventTimes | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_container_cluster_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_container_cluster_benchmark.py | Apache-2.0 |
def DetachDisks(vm: linux_virtual_machine.BaseLinuxVirtualMachine):
"""Detaches all the disks from the virtual machine.
Args:
vm: Virtual Machine details
Returns:
time to detach all the disks from the virtual machine.
"""
vm_detach_disk_strategy = disk_strategies.DetachDiskStrategy(vm)
detach_star... | Detaches all the disks from the virtual machine.
Args:
vm: Virtual Machine details
Returns:
time to detach all the disks from the virtual machine.
| DetachDisks | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_disk_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_disk_benchmark.py | Apache-2.0 |
def _CreateJobsAndWait(
cluster: container_service.KubernetesCluster, batch_name: str, jobs: int
) -> None:
"""Creates jobs and waits for all pods to be running."""
logging.info(
"Creating batch '%s' of %d jobs, each job running in a separate node in a"
" separate node pools",
batch_name,
... | Creates jobs and waits for all pods to be running. | _CreateJobsAndWait | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_node_pools_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_node_pools_benchmark.py | Apache-2.0 |
def _AssertNodes(
cluster: container_service.KubernetesCluster,
initial_nodes: int,
added_nodes: int,
) -> None:
"""Asserts expected number of nodes in the cluster."""
nodes = len(cluster.GetNodeNames())
if nodes < added_nodes:
raise ValueError(
"Cluster has %d nodes, but expected >=%d)" %... | Asserts expected number of nodes in the cluster. | _AssertNodes | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_node_pools_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_node_pools_benchmark.py | Apache-2.0 |
def _AssertNodePools(
cluster: container_service.KubernetesCluster,
intital_node_pools: int,
added_node_pools: int,
) -> None:
"""Asserts expected number of node pools in the cluster."""
node_pools = len(cluster.GetNodePoolNames())
if node_pools < added_node_pools:
raise ValueError(
"Clust... | Asserts expected number of node pools in the cluster. | _AssertNodePools | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_node_pools_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_node_pools_benchmark.py | Apache-2.0 |
def _CreateNodePools(
cluster: container_service.KubernetesCluster,
batch_name: str,
node_pools_to_add: int,
) -> List[sample.Sample]:
"""Creates node pools and measures the time it takes to provision them."""
nodes_before = len(cluster.GetNodeNames())
nodes_pools_before = len(cluster.GetNodePoolNames... | Creates node pools and measures the time it takes to provision them. | _CreateNodePools | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_node_pools_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_node_pools_benchmark.py | Apache-2.0 |
def Run(benchmark_spec: bm_spec.BenchmarkSpec) -> List[sample.Sample]:
"""Runs the node pools provisioning benchmark."""
cluster = benchmark_spec.container_cluster
samples = []
start = time.monotonic()
if INIT_BATCH_SIZE.value > 0:
samples += _CreateNodePools(cluster, INIT_BATCH_NAME, INIT_BATCH_SIZE.valu... | Runs the node pools provisioning benchmark. | Run | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_node_pools_benchmark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_benchmarks/provisioning_benchmarks/provision_node_pools_benchmark.py | Apache-2.0 |
def _Install(vm):
"""Installs the act on the VM."""
vm.Install('build_tools')
vm.Install('openssl')
vm.RemoteCommand('git clone {} {}'.format(GIT_REPO, ACT_DIR))
vm.RemoteCommand(
'cd {} && git checkout {} && make'.format(ACT_DIR, ACT_COMMIT)
) | Installs the act on the VM. | _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/act.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/act.py | Apache-2.0 |
def RunActPrep(vm):
"""Runs actprep binary to initialize the drive."""
def _RunActPrep(device):
vm.RobustRemoteCommand(
'cd {} && sudo ./target/bin/act_prep {}'.format(
ACT_DIR, device.GetDevicePath()
)
)
assert (
len(vm.scratch_disks) > FLAGS.act_reserved_partitions
... | Runs actprep binary to initialize the drive. | RunActPrep | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/act.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/act.py | Apache-2.0 |
def PrepActConfig(vm, load, index=None):
"""Prepare act config file at remote VM."""
if index is None:
disk_lst = vm.scratch_disks
# Treat first few partitions as reserved.
disk_lst = disk_lst[FLAGS.act_reserved_partitions :]
config_file = 'actconfig_{}.txt'.format(load)
else:
disk_lst = [vm.s... | Prepare act config file at remote VM. | PrepActConfig | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/act.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/act.py | Apache-2.0 |
def RunAct(vm, load, index=None):
"""Runs act binary with provided config."""
if index is None:
config = 'actconfig_{}.txt'.format(load)
output = 'output_{}'.format(load)
act_config_metadata = {'device_index': 'all'}
else:
config = 'actconfig_{}_{}.txt'.format(index, load)
output = 'output_{}_... | Runs act binary with provided config. | RunAct | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/act.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/act.py | Apache-2.0 |
def ParseRunAct(out):
"""Parse act output.
Raw output format:
reads
%>(ms)
slice 1 2 4 rate
----- ------ ------ ------ ----------
1 0.00 0.00 0.00 6000.0
2 0.00 0.00 0.00 6000.0
3 0.01 0.00 0.00 6000.0
----- ... | Parse act output.
Raw output format:
reads
%>(ms)
slice 1 2 4 rate
----- ------ ------ ------ ----------
1 0.00 0.00 0.00 6000.0
2 0.00 0.00 0.00 6000.0
3 0.01 0.00 0.00 6000.0
----- ------ ------ ------ ------... | ParseRunAct | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/act.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/act.py | Apache-2.0 |
def IsRunComplete(samples):
"""Decides if the run is able to complete (regardless of latency)."""
for s in samples:
if s.metric == 'Failed:NotEnoughSample':
return False
if 'ERROR' in s.metadata:
return False
return True | Decides if the run is able to complete (regardless of latency). | IsRunComplete | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/act.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/act.py | Apache-2.0 |
def _Install(vm):
"""Installs the aerospike client on the VM."""
if FLAGS.os_type not in AEROSPIKE_TOOL_VERSION_NAME_FOR_OS:
raise ValueError(
f'Unsupported OS type: {FLAGS.os_type}. Supported OS types are: '
+ ', '.join(AEROSPIKE_TOOL_VERSION_NAME_FOR_OS.keys())
)
path = PATH_FORMATTER % ... | Installs the aerospike client on the VM. | _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def ParseAsbenchStdout(output):
"""Parse output produced by asbench.
Output format:
port: 3000
user: (null)
services-alternate: false
...
2022-07-26 21:27:59.941 INFO Add node BB97300800A0142 10.128.0.115:3000
2022-07-26 21:27:59.943 INFO Start 128 transaction th... | Parse output produced by asbench.
Output format:
port: 3000
user: (null)
services-alternate: false
...
2022-07-26 21:27:59.941 INFO Add node BB97300800A0142 10.128.0.115:3000
2022-07-26 21:27:59.943 INFO Start 128 transaction threads
Stage 1: default config (spec... | ParseAsbenchStdout | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def _ParseHdrLines(
lines: str,
line_idx: int,
samples: List[sample.Sample],
metadata: dict[str, float],
namespace: str,
op: str,
):
"""Parse a hdr line generated by asbench."""
# Each line formatted as:
# hdr: operation datetime time_window (or seconds-running in the newer version
# ), ... | Parse a hdr line generated by asbench. | _ParseHdrLines | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def _ParseMetadata(line: str):
"""Parse metadata from a hdr line generated by asbench.
Args:
line: the line to parse.
Returns:
A dictionary of metadata, or empty if parsing fails.
"""
# Each line formatted as:
# hdr: operation datetime time_window (or seconds-running in the newer version
# ), #r... | Parse metadata from a hdr line generated by asbench.
Args:
line: the line to parse.
Returns:
A dictionary of metadata, or empty if parsing fails.
| _ParseMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def AggregateAsbenchSamples(raw_samples):
"""Aggregate samples across client VMs.
Args:
raw_samples: List of sample.Sample object. Each sample produced by a
different vm for a particular window.
Returns:
A list of sample.Sample objects.
"""
aggregated_samples = {}
for s in raw_samples:
#... | Aggregate samples across client VMs.
Args:
raw_samples: List of sample.Sample object. Each sample produced by a
different vm for a particular window.
Returns:
A list of sample.Sample objects.
| AggregateAsbenchSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def ParseHistogramLine(line: str) -> HistogramLine:
"""Parse a single histogram line generated by asbench."""
# A sample line
# write_hist 2023-03-22T23:33:13Z, 1.0001s, 1040, 0:330, 100:262, 500:9
values = line.split()
op = values[0].split('_')[0]
time = ParseDate(values[1][:-1])
duration = float(values[... | Parse a single histogram line generated by asbench. | ParseHistogramLine | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def ParseHistogramFile(
output: str,
histograms: collections.OrderedDict[Any, Any],
timestamps: dict[int, datetime.date],
) -> None:
"""Parse a single histogram file generated by asbench.
Args:
output: String. Output from histogram file.
histograms: Dict. A dictionary of histograms parsed.
... | Parse a single histogram file generated by asbench.
Args:
output: String. Output from histogram file.
histograms: Dict. A dictionary of histograms parsed.
timestamps: Dict, A dictionary to keep track of the timestamps.
| ParseHistogramFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def ParseAsbenchHistogramTimeSeries(output: str) -> List[HistogramLine]:
"""Generate Percentile Time Series from histogram output.
Args:
output: Output from histogram file.
Returns:
List of histogram.
"""
result_lines = _ExtractResultLines(output.splitlines())
histogram_time_series = []
for line ... | Generate Percentile Time Series from histogram output.
Args:
output: Output from histogram file.
Returns:
List of histogram.
| ParseAsbenchHistogramTimeSeries | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def GenerateDetailHistogramSamples(
histograms: collections.OrderedDict[Any, Any],
start_datetime: datetime.datetime,
) -> List[sample.Sample]:
"""Generate Histogram samples based on histograms."""
samples = []
for window, op in histograms:
metric = f'{op}_histogram'
samples.append(
sample... | Generate Histogram samples based on histograms. | GenerateDetailHistogramSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def GetMaxLatencyGivenBucket(bucket: int) -> int:
"""Get the maximum latency of a given bucket."""
# https://docs.aerospike.com/tools/asbench
if bucket < 4000:
return bucket + 100
elif bucket < 64000:
return bucket + 1000
else:
return bucket + 4000 | Get the maximum latency of a given bucket. | GetMaxLatencyGivenBucket | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def CalculatePercentileFromHistogram(
histogram: collections.OrderedDict[Any, Any], percentile: float
) -> int:
"""Get the latency from a histogram on a given percentile."""
total_count = sum(histogram.values())
index_given_percentile = int(percentile * total_count / 100.0 + 0.5)
latency_buckets = sorted(hi... | Get the latency from a histogram on a given percentile. | CalculatePercentileFromHistogram | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def GeneratePercentileTimeSeriesSamples(
histograms: collections.OrderedDict[Any, Any],
percentiles: List[str],
timestamps: dict[int, datetime.datetime],
) -> List[sample.Sample]:
"""Generate Percentile Time Series samples based on histograms."""
percentile_results = collections.defaultdict(list)
time... | Generate Percentile Time Series samples based on histograms. | GeneratePercentileTimeSeriesSamples | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def ParseAsbenchHistogram(result_files: List[str]) -> List[sample.Sample]:
"""Parse histogram files generated by asbench.
Args:
result_files: List of filenames. Each file contains a periodic latency
histogram from a client vm.
Returns:
A list of sample.Sample object. Each representing a latency hi... | Parse histogram files generated by asbench.
Args:
result_files: List of filenames. Each file contains a periodic latency
histogram from a client vm.
Returns:
A list of sample.Sample object. Each representing a latency histogram.
| ParseAsbenchHistogram | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def CreateTimeSeriesSample(samples: List[sample.Sample]) -> List[sample.Sample]:
"""Create time series samples from a list of per time window sample.
Args:
samples: A list of sample.Sample. Each sample represent throughput, latency
collected in that time window.
Returns:
A list of time series samp... | Create time series samples from a list of per time window sample.
Args:
samples: A list of sample.Sample. Each sample represent throughput, latency
collected in that time window.
Returns:
A list of time series samples, where each sample encodes a list of values
for the entire run.
| CreateTimeSeriesSample | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_client.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_client.py | Apache-2.0 |
def _InstallFromPackage(vm):
"""Installs the aerospike_server package on the VM."""
if FLAGS.aerospike_instances != 1:
raise NotImplementedError(
'Only support one instance of aerospike on enterprise'
)
if FLAGS.os_type not in AEROSPIKE_VERSION_NAME_FOR_OS:
raise ValueError(
f'Unsuppor... | Installs the aerospike_server package on the VM. | _InstallFromPackage | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_server.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_server.py | Apache-2.0 |
def _Install(vm):
"""Installs the Aerospike server on the VM."""
vm.Install('build_tools')
vm.Install('lua5_1')
vm.Install('openssl')
vm.Install('wget')
if _AEROSPIKE_EDITION.value == AerospikeEdition.COMNUNITY:
_InstallFromGit(vm)
else:
_InstallFromPackage(vm) | Installs the Aerospike server on the VM. | _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_server.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_server.py | Apache-2.0 |
def _WaitForServerUp(server, idx=None):
"""Block until the Aerospike server is up and responsive.
Will timeout after 5 minutes, and raise an exception. Before the timeout
expires any exceptions are caught and the status check is retried.
We check the status of the server by connecting to Aerospike's out
of ... | Block until the Aerospike server is up and responsive.
Will timeout after 5 minutes, and raise an exception. Before the timeout
expires any exceptions are caught and the status check is retried.
We check the status of the server by connecting to Aerospike's out
of band telnet management port and issue a 'stat... | _WaitForServerUp | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_server.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_server.py | Apache-2.0 |
def IsServerUp(server, idx=None):
"""Check if the Aerospike server is up and responsive.
Args:
server: VirtualMachine Aerospike has been installed on.
idx: aerospike process index.
Returns:
A bool indicating whether the server is up.
"""
idx = idx or 0
address = server.internal_ip
port = f'{... | Check if the Aerospike server is up and responsive.
Args:
server: VirtualMachine Aerospike has been installed on.
idx: aerospike process index.
Returns:
A bool indicating whether the server is up.
| IsServerUp | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_server.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_server.py | Apache-2.0 |
def WipeDisk(server, devices):
"""Wipe the disk on the server."""
for scratch_disk in server.scratch_disks:
if scratch_disk.mount_point:
server.RemoteCommand(
f'sudo umount {scratch_disk.mount_point}', ignore_failure=True
)
# https://docs.aerospike.com/server/operations/plan/ssd/ssd_ini... | Wipe the disk on the server. | WipeDisk | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_server.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_server.py | Apache-2.0 |
def BuildAndStartCommunityAerospike(server, idx):
"""Build and start commmunity version of aerospike."""
server.RemoteCommand(f'cd {_GetAerospikeDir(idx)} && make init')
# Persist the nohup command past the ssh session
# "sh -c 'cd /wherever; nohup ./whatever > /dev/null 2>&1 &'"
log_file = f'~/aerospike-{ser... | Build and start commmunity version of aerospike. | BuildAndStartCommunityAerospike | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_server.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_server.py | Apache-2.0 |
def ConfigureAndStart(server, seed_node_ips=None):
"""Prepare the Aerospike server on a VM.
Args:
server: VirtualMachine to install and start Aerospike on.
seed_node_ips: internal IP addresses of seed nodes in the cluster. Leave
unspecified for a single-node deployment.
"""
server.Install('aerosp... | Prepare the Aerospike server on a VM.
Args:
server: VirtualMachine to install and start Aerospike on.
seed_node_ips: internal IP addresses of seed nodes in the cluster. Leave
unspecified for a single-node deployment.
| ConfigureAndStart | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_server.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_server.py | Apache-2.0 |
def EnableStrongConsistency(vm, namespaces):
"""Enable the strong consistency feature for the given namespaces.
Args:
vm: the vm instance where the Aerospike server is running.
namespaces: the Aerospike namespace to enable strong consistency.
"""
# Grant necessary permissions
vm.RemoteCommand(
... | Enable the strong consistency feature for the given namespaces.
Args:
vm: the vm instance where the Aerospike server is running.
namespaces: the Aerospike namespace to enable strong consistency.
| EnableStrongConsistency | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aerospike_server.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aerospike_server.py | Apache-2.0 |
def _Install(vm):
"""Installs the AMD BLIS package on the VM."""
vm.Install('build_tools')
vm.Install('fortran')
vm.RemoteCommand('git clone {} {}'.format(GIT_REPO, AMDBLIS_DIR))
vm.RemoteCommand('cd {} && git checkout {}'.format(AMDBLIS_DIR, GIT_TAG))
vm.RemoteCommand(
'cd {} && ./configure --enable-... | Installs the AMD BLIS package on the VM. | _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/amdblis.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/amdblis.py | Apache-2.0 |
def AptInstall(vm: virtual_machine.BaseVirtualMachine) -> None:
"""Install AMD GPU driver on the vm.
Args:
vm: The virtual machine to install AMD driver on.
"""
vm.RemoteCommand('sudo dpkg --add-architecture i386')
tmp_dir = vm.scratch_disks[0].mount_point
vm.DownloadPreprovisionedData(tmp_dir, 'amdgpu... | Install AMD GPU driver on the vm.
Args:
vm: The virtual machine to install AMD driver on.
| AptInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/amdgpu_driver.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/amdgpu_driver.py | Apache-2.0 |
def _Install(vm):
"""Installs the Ant package on the VM."""
vm.Install('wget')
vm.InstallPreprovisionedPackageData(
PACKAGE_NAME, PREPROVISIONED_DATA.keys(), linux_packages.INSTALL_DIR
)
vm.RemoteCommand(
'cd {0} && tar -zxf apache-ant-1.9.6-bin.tar.gz && '
'ln -s {0}/apache-ant-1.9.6/ {1}'... | Installs the Ant package on the VM. | _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/ant.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/ant.py | Apache-2.0 |
def Install(vm):
"""Installs the awscli package on the VM."""
# Check if AWS is already installed.
if vm.TryRemoteCommand('aws --version'):
return
vm.Install('pip')
vm.RemoteCommand(
'sudo pip3 install awscli '
# awscli depends on a specific PyYAML version, and the AWS Ubuntu AMI
# ships... | Installs the awscli package on the VM. | Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/awscli.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/awscli.py | Apache-2.0 |
def GetCredentials(profile: str):
"""Gets the credentials from the AWS CLI config.
Prefer --aws_ec2_instance_profile when using EC2 VMs.
Args:
profile: name of the profile to get the credentials from.
Returns:
A string, string tuple of access_key and secret_access_key
"""
key_id = util.GetConfigV... | Gets the credentials from the AWS CLI config.
Prefer --aws_ec2_instance_profile when using EC2 VMs.
Args:
profile: name of the profile to get the credentials from.
Returns:
A string, string tuple of access_key and secret_access_key
| GetCredentials | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aws_credentials.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aws_credentials.py | Apache-2.0 |
def Install(vm):
"""Deprecated means of copying local credentials into a VM."""
# This should never be called, but in case a fork calls
# Install('aws_credentsials into a VM.').
raise NotImplementedError('Do not install AWS local credentials. Use '
'--aws_ec2_instance_profile instead... | Deprecated means of copying local credentials into a VM. | Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/aws_credentials.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/aws_credentials.py | Apache-2.0 |
def ZypperInstall(vm):
"""Installs the azure-cli package on the VM for SUSE systems.
Args:
vm: Virtual Machine to install on.
"""
# Work-around to remove conflicting python packages. See
# https://github.com/Azure/azure-cli/issues/13209
vm.RemoteCommand(
'sudo zypper install -y --oldpackage azure... | Installs the azure-cli package on the VM for SUSE systems.
Args:
vm: Virtual Machine to install on.
| ZypperInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/azure_cli.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/azure_cli.py | Apache-2.0 |
def _PipInstall(vm):
"""Installs azure-cli via pip on the VM.
Args:
vm: Virtual Machine to install on.
"""
vm.Install('pip')
# azure-cli updated requirements.txt dependency, but not setupu.py:
# https://github.com/Azure/azure-cli/pull/26671
vm.RemoteCommand('sudo pip3 install --upgrade azure-cli pyOp... | Installs azure-cli via pip on the VM.
Args:
vm: Virtual Machine to install on.
| _PipInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/azure_cli.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/azure_cli.py | Apache-2.0 |
def AptInstall(vm):
"""Installs the azure-cli package on the VM for Debian systems.
Args:
vm: Virtual Machine to install on.
"""
if vm.is_aarch64 or vm.OS_TYPE not in SUPPORTED_APT_DISTROS:
_PipInstall(vm)
return
vm.InstallPackages('curl')
vm.RemoteCommand(f'curl -sL {_DEB_SCRIPT_URL} | sudo b... | Installs the azure-cli package on the VM for Debian systems.
Args:
vm: Virtual Machine to install on.
| AptInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/azure_cli.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/azure_cli.py | Apache-2.0 |
def YumInstall(vm):
"""Installs the azure-cli package on the VM for RedHat systems.
Args:
vm: Virtual Machine to install on.
"""
_CreateFile(vm, _YUM_REPO, _YUM_REPO_FILE)
vm.RemoteCommand('sudo rpm --import {key}'.format(key=_YUM_REPO_KEY))
vm.InstallPackages('azure-cli') | Installs the azure-cli package on the VM for RedHat systems.
Args:
vm: Virtual Machine to install on.
| YumInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/azure_cli.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/azure_cli.py | Apache-2.0 |
def _CreateFile(vm, content, file_path):
"""Creates the repository file on the remote server.
Args:
vm: Remote virtual machine.
content: Text to put into the file.
file_path: Path to text output file.
"""
vm.RemoteCommand(
'echo "{content}" | sudo tee {file_path}'.format(
content=co... | Creates the repository file on the remote server.
Args:
vm: Remote virtual machine.
content: Text to put into the file.
file_path: Path to text output file.
| _CreateFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/azure_cli.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/azure_cli.py | Apache-2.0 |
def Install(vm):
"""Copies Azure credentials to the VM."""
# Validate local azure-cli uses MSAL
stdout, _, _ = vm_util.IssueCommand(
['az', 'version', '--query', '"azure-cli"']
)
az_version = version.Version(stdout.strip('"\n'))
if az_version < version.Version(_REQUIRED_MSAL_CLI_VERSION):
raise er... | Copies Azure credentials to the VM. | Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/azure_credentials.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/azure_credentials.py | Apache-2.0 |
def Install(vm):
"""Installs the azure-cli package on the VM."""
vm.Install('pip')
if FLAGS.azure_lib_version:
version_string = '==' + FLAGS.azure_lib_version
else:
version_string = ''
vm.RemoteCommand('sudo pip3 install azure%s' % version_string) | Installs the azure-cli package on the VM. | Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/azure_sdk.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/azure_sdk.py | Apache-2.0 |
def _Configure(vm):
"""Configure and build blaze library.
See https://bitbucket.org/blaze-lib/blaze/wiki/Configuration%20Files
for more details.
"""
vm.RenderTemplate(
data.ResourcePath(CONFIG_TEMPLATE),
os.path.join(BLAZE_DIR, CONFIG),
{
'compiler': 'g++-5',
'compile_fl... | Configure and build blaze library.
See https://bitbucket.org/blaze-lib/blaze/wiki/Configuration%20Files
for more details.
| _Configure | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/blaze.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/blaze.py | Apache-2.0 |
def _Install(vm):
"""Installs the blaze package on the VM."""
vm.RemoteCommand(
'cd {tmp_dir}; wget {tar_url}; tar xzvf {tar}'.format(
tmp_dir=vm_util.VM_TMP_DIR, tar_url=BLAZE_TAR_URL, tar=BLAZE_TAR
)
)
vm.RemoteCommand(
'sudo cp -r {blaze_dir}/blaze /usr/local/include'.format(
... | Installs the blaze package on the VM. | _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/blaze.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/blaze.py | Apache-2.0 |
def _SimplfyLibName(name):
"""Simply library name parsed from output.
Args:
name: string. Name parsed from blazemark output.
Returns:
A simplified name defined in LIBS.
"""
for lib in LIBS:
if lib in name:
return lib
return name | Simply library name parsed from output.
Args:
name: string. Name parsed from blazemark output.
Returns:
A simplified name defined in LIBS.
| _SimplfyLibName | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/blazemark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/blazemark.py | Apache-2.0 |
def _ParseResult(out, test):
"""Parse blazemark results.
Sample output:
https://bitbucket.org/blaze-lib/blaze/wiki/Blazemark#!command-line-parameters
Dense Vector/Dense Vector Addition:
C-like implementation [MFlop/s]:
100 1115.44
10000000 206.317
Classic operator overloading [MFlop/... | Parse blazemark results.
Sample output:
https://bitbucket.org/blaze-lib/blaze/wiki/Blazemark#!command-line-parameters
Dense Vector/Dense Vector Addition:
C-like implementation [MFlop/s]:
100 1115.44
10000000 206.317
Classic operator overloading [MFlop/s]:
100 415.703
... | _ParseResult | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/blazemark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/blazemark.py | Apache-2.0 |
def RunTest(vm, test):
"""Run blazemark test on vm.
Args:
vm: VirtualMachine. The VM to run blazemark.
test: string. The test name to run.
Returns:
A list of samples. Each sample if a 4-tuple of (benchmark_name, value, unit,
metadata).
"""
out, _ = vm.RemoteCommand(
'cd %s; export BLAZ... | Run blazemark test on vm.
Args:
vm: VirtualMachine. The VM to run blazemark.
test: string. The test name to run.
Returns:
A list of samples. Each sample if a 4-tuple of (benchmark_name, value, unit,
metadata).
| RunTest | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/blazemark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/blazemark.py | Apache-2.0 |
def _Configure(vm):
"""Configure and build blazemark on vm."""
vm.RenderTemplate(
data.ResourcePath(CONFIG_TEMPLATE),
os.path.join(BLAZEMARK_DIR, CONFIG),
{
'compiler': '"g++-5"',
'compiler_flags': (
'"-Wall -Wextra -Werror -Wshadow -Woverloaded-virtual -ansi -O3 ... | Configure and build blazemark on vm. | _Configure | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/blazemark.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/blazemark.py | Apache-2.0 |
def Install(vm):
"""Installs the boto package on the VM."""
vm.Install('pip')
vm.RemoteCommand('sudo pip3 install boto3') | Installs the boto package on the VM. | Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/boto3.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/boto3.py | Apache-2.0 |
def YumInstall(vm):
"""Installs build tools on the VM."""
vm.InstallPackageGroup('Development Tools')
# Recent RPM-based Linux distros split libnsl out of libc. This breaks many
# compilations so install it explicitly.
if vm.HasPackage('libnsl'):
vm.InstallPackages('libnsl')
if FLAGS.gcc_version:
Re... | Installs build tools on the VM. | YumInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/build_tools.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/build_tools.py | Apache-2.0 |
def BuildGccFromSource(vm, gcc_version):
"""Install a specific version of gcc by compiling from source.
Args:
vm: VirtualMachine object.
gcc_version: string. GCC version.
Taken from: https://gist.github.com/nchaigne/ad06bc867f911a3c0d32939f1e930a11
"""
if gcc_version == '9' or gcc_version == '9.2':
... | Install a specific version of gcc by compiling from source.
Args:
vm: VirtualMachine object.
gcc_version: string. GCC version.
Taken from: https://gist.github.com/nchaigne/ad06bc867f911a3c0d32939f1e930a11
| BuildGccFromSource | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/build_tools.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/build_tools.py | Apache-2.0 |
def GetVersion(vm, pkg):
"""Get version of package using -dumpversion."""
out, _ = vm.RemoteCommand(
'{pkg} -dumpfullversion'.format(pkg=pkg), ignore_failure=True
)
return out.rstrip() | Get version of package using -dumpversion. | GetVersion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/build_tools.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/build_tools.py | Apache-2.0 |
def GetVersionInfo(vm, pkg):
"""Get compiler version info for package using --version."""
out, _ = vm.RemoteCommand(
'{pkg} --version'.format(pkg=pkg), ignore_failure=True
)
# return first line of pkg --version
return out.splitlines()[0] if out else None | Get compiler version info for package using --version. | GetVersionInfo | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/build_tools.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/build_tools.py | Apache-2.0 |
def Reinstall(vm, version: str):
"""Install specific version of gcc.
Args:
vm: VirtualMachine object.
version: string. GCC version.
"""
if 'ubuntu' not in vm.OS_TYPE or FLAGS.force_build_gcc_from_source:
BuildGccFromSource(vm, version)
logging.info('GCC info: %s', GetVersion(vm, 'gcc'))
ret... | Install specific version of gcc.
Args:
vm: VirtualMachine object.
version: string. GCC version.
| Reinstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/build_tools.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/build_tools.py | Apache-2.0 |
def _Install(vm):
"""Installs Cassandra as a debian package.
Args:
vm: VirtualMachine. The VM to install Cassandra on.
"""
vm.Install('openjdk')
vm.Install('curl')
vm.RemoteCommand(
'curl -o /opt/pkb/cassandra.tar.gz'
' https://archive.apache.org/dist/cassandra/4.1.5/apache-cassandra-4.1.5-... | Installs Cassandra as a debian package.
Args:
vm: VirtualMachine. The VM to install Cassandra on.
| _Install | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/cassandra.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/cassandra.py | Apache-2.0 |
def JujuInstall(vm, vm_group_name):
"""Installs the Cassandra charm on the VM."""
vm.JujuDeploy('cs:trusty/cassandra', vm_group_name)
# The charm defaults to Cassandra 2.2.x, which has deprecated
# cassandra-cli. Specify the sources to downgrade to Cassandra 2.1.x
# to match the cassandra benchmark(s) expect... | Installs the Cassandra charm on the VM. | JujuInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/cassandra.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/cassandra.py | Apache-2.0 |
def Configure(vm, seed_vms):
"""Configure Cassandra on 'vm'.
Args:
vm: VirtualMachine. The VM to configure.
seed_vms: List of VirtualMachine. The seed virtual machine(s).
"""
context = {
'ip_address': vm.internal_ip,
'data_path': posixpath.join(vm.GetScratchDir(), 'cassandra'),
'seeds... | Configure Cassandra on 'vm'.
Args:
vm: VirtualMachine. The VM to configure.
seed_vms: List of VirtualMachine. The seed virtual machine(s).
| Configure | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/cassandra.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/cassandra.py | Apache-2.0 |
def IsRunning(vm):
"""Returns a boolean indicating whether Cassandra is running on 'vm'."""
try:
_, stderr = vm.RemoteCommand(f'{GetNodetoolPath()} status')
if stderr:
return False
return True
except errors.VirtualMachine.RemoteCommandError as ex:
logging.warning('Exception: %s', ex)
ret... | Returns a boolean indicating whether Cassandra is running on 'vm'. | IsRunning | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/cassandra.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/cassandra.py | Apache-2.0 |
def GetPendingTaskCountFromCompactionStats(cassandra_vms):
"""Parses the compaction stats for the given VMs and returns the pending task count.
Args:
cassandra_vms: List of VirtualMachine. The Cassandra VMs to get compaction
stats from.
Returns:
List of int. The pending task count for each VM.
"... | Parses the compaction stats for the given VMs and returns the pending task count.
Args:
cassandra_vms: List of VirtualMachine. The Cassandra VMs to get compaction
stats from.
Returns:
List of int. The pending task count for each VM.
| GetPendingTaskCountFromCompactionStats | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/cassandra.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/cassandra.py | Apache-2.0 |
def CleanNode(vm):
"""Remove Cassandra data from 'vm'.
Args:
vm: VirtualMachine. VM to clean.
"""
data_path = posixpath.join(vm.GetScratchDir(), 'cassandra')
vm.RemoteCommand('rm -rf {}'.format(data_path)) | Remove Cassandra data from 'vm'.
Args:
vm: VirtualMachine. VM to clean.
| CleanNode | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/cassandra.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/cassandra.py | Apache-2.0 |
def _StartCassandraIfNotRunning(vm):
"""Starts Cassandra on 'vm' if not currently running."""
if not IsRunning(vm):
logging.info('Retrying starting cassandra on %s', vm)
Start(vm) | Starts Cassandra on 'vm' if not currently running. | _StartCassandraIfNotRunning | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/cassandra.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/cassandra.py | Apache-2.0 |
def GetNumberOfNodesUp(vm):
"""Gets the number of VMs which are up in a Cassandra cluster.
Args:
vm: VirtualMachine. The VM to use to check the cluster status.
Returns:
int. The number of VMs which are up in a Cassandra cluster.
"""
vms_up = vm.RemoteCommand(f'{GetNodetoolPath()} status | grep -c "^... | Gets the number of VMs which are up in a Cassandra cluster.
Args:
vm: VirtualMachine. The VM to use to check the cluster status.
Returns:
int. The number of VMs which are up in a Cassandra cluster.
| GetNumberOfNodesUp | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/cassandra.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/cassandra.py | Apache-2.0 |
def StartCluster(seed_vm, vms):
"""Starts a Cassandra cluster.
Starts a Cassandra cluster, first starting 'seed_vm', then remaining VMs in
'vms'.
Args:
seed_vm: VirtualMachine. Machine which will function as the sole seed. It
will be started before all other VMs.
vms: list of VirtualMachines. VM... | Starts a Cassandra cluster.
Starts a Cassandra cluster, first starting 'seed_vm', then remaining VMs in
'vms'.
Args:
seed_vm: VirtualMachine. Machine which will function as the sole seed. It
will be started before all other VMs.
vms: list of VirtualMachines. VMs *other than* seed_vm which should b... | StartCluster | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/cassandra.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/cassandra.py | Apache-2.0 |
def JujuInstall(vm, vm_group_name):
"""Installs the cassandra-stress charm on the VM."""
vm.JujuDeploy('cs:~marcoceppi/trusty/cassandra-stress', vm_group_name)
# The assumption is that cassandra-stress will always be installed
# alongside cassandra
vm.JujuRelate('cassandra', 'cassandra-stress')
# Wait for... | Installs the cassandra-stress charm on the VM. | JujuInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/cassandra_stress.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/cassandra_stress.py | Apache-2.0 |
def AptInstall(vm):
"""Install the chromium_compile package on the VM using aptitude.
Args:
vm: VM to install chromium_compile on.
"""
scratch_dir = vm.GetScratchDir()
local_working_directory = os.path.join(scratch_dir, WORKING_DIRECTORY_NAME)
depot_tools_path = os.path.join(local_working_directory, 'd... | Install the chromium_compile package on the VM using aptitude.
Args:
vm: VM to install chromium_compile on.
| AptInstall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/chromium_compile.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/chromium_compile.py | Apache-2.0 |
def _InstallViaPreprovisionedData(vm, scratch_dir='.'):
"""Returns whether Chromium_compile was installed via preprovisioned data."""
# if the tarball is not in preprovisioned data return False
if TARBALL not in PREPROVISIONED_DATA:
return False
if not vm.ShouldDownloadPreprovisionedData('chromium_compile'... | Returns whether Chromium_compile was installed via preprovisioned data. | _InstallViaPreprovisionedData | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_packages/chromium_compile.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_packages/chromium_compile.py | Apache-2.0 |
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