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 ExecuteQuery(
self, query_name: str, print_results: bool = False
) -> tuple[float, dict[str, Any]]:
"""Executes a query and returns performance details.
Args:
query_name: String name of the query to execute
print_results: Whether to include query results in execution details.
Retur... | Executes a query and returns performance details.
Args:
query_name: String name of the query to execute
print_results: Whether to include query results in execution details.
Returns:
A tuple of (execution_time, execution details)
execution_time: A Float variable set to the query's comp... | ExecuteQuery | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/edw_service.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/edw_service.py | Apache-2.0 |
def ExecuteSimultaneous(
self, submission_interval: int, queries: List[str]
) -> str:
"""Executes queries simultaneously on client and return performance details.
Simultaneous app expects queries as white space separated query file names.
Response format:
{"simultaneous_end":1601145943197,"si... | Executes queries simultaneously on client and return performance details.
Simultaneous app expects queries as white space separated query file names.
Response format:
{"simultaneous_end":1601145943197,"simultaneous_start":1601145940113,
"stream_performance_array":[{"query_wall_time_in_secs":2.079,
... | ExecuteSimultaneous | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/edw_service.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/edw_service.py | Apache-2.0 |
def ExecuteThroughput(
self,
concurrency_streams: List[List[str]],
labels: dict[str, str] | None = None,
) -> str:
"""Executes a throughput test and returns performance details.
Response format:
{"throughput_start":1601666911596,"throughput_end":1601666916139,
"throughput_wall... | Executes a throughput test and returns performance details.
Response format:
{"throughput_start":1601666911596,"throughput_end":1601666916139,
"throughput_wall_time_in_secs":4.543,
"all_streams_performance_array":[
{"stream_start":1601666911597,"stream_end":1601666916139,
... | ExecuteThroughput | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/edw_service.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/edw_service.py | Apache-2.0 |
def WarmUpQuery(self):
"""Executes a service-agnostic query that can detect cold start issues."""
if self.client_vm is None:
raise ValueError('SetProvisionedAttributes() not called')
with open(SAMPLE_QUERY_PATH, 'w+') as f:
f.write(SAMPLE_QUERY)
self.client_vm.PushFile(SAMPLE_QUERY_PATH)
... | Executes a service-agnostic query that can detect cold start issues. | WarmUpQuery | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/edw_service.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/edw_service.py | Apache-2.0 |
def __init__(self, edw_service_spec):
"""Initialize the edw service object.
Args:
edw_service_spec: spec of the edw service.
"""
# Hand over the actual creation to the resource module, which assumes the
# resource is pkb managed by default
is_user_managed = self.IsUserManaged(edw_service_... | Initialize the edw service object.
Args:
edw_service_spec: spec of the edw service.
| __init__ | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/edw_service.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/edw_service.py | Apache-2.0 |
def GetClusterIdentifier(self, edw_service_spec):
"""Returns a string name of the Cluster Identifier.
Args:
edw_service_spec: spec of the edw service.
Returns:
A string, set to the name of the cluster identifier.
"""
if self.IsUserManaged(edw_service_spec):
return edw_service_spe... | Returns a string name of the Cluster Identifier.
Args:
edw_service_spec: spec of the edw service.
Returns:
A string, set to the name of the cluster identifier.
| GetClusterIdentifier | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/edw_service.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/edw_service.py | Apache-2.0 |
def GetMetadata(self):
"""Return a dictionary of the metadata for this edw service."""
basic_data = {
'edw_service_type': self.spec.type,
'edw_cluster_identifier': self.cluster_identifier,
'edw_cluster_node_type': self.node_type,
'edw_cluster_node_count': self.node_count,
}
... | Return a dictionary of the metadata for this edw service. | GetMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/edw_service.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/edw_service.py | Apache-2.0 |
def GenerateLifecycleStageScriptName(self, lifecycle_stage):
"""Computes the default name for script implementing an edw lifecycle stage.
Args:
lifecycle_stage: Stage for which the corresponding sql script is desired.
Returns:
script name for implementing the argument lifecycle_stage.
"""
... | Computes the default name for script implementing an edw lifecycle stage.
Args:
lifecycle_stage: Stage for which the corresponding sql script is desired.
Returns:
script name for implementing the argument lifecycle_stage.
| GenerateLifecycleStageScriptName | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/edw_service.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/edw_service.py | Apache-2.0 |
def ExtractDataset(
self, dest_bucket, dataset=None, tables=None, dest_format='CSV'
):
"""Extract all tables in a dataset to object storage.
Args:
dest_bucket: Name of the bucket to extract the data to. Should already
exist.
dataset: Optional name of the dataset. If none, will be de... | Extract all tables in a dataset to object storage.
Args:
dest_bucket: Name of the bucket to extract the data to. Should already
exist.
dataset: Optional name of the dataset. If none, will be determined by the
service.
tables: Optional list of table names to extract. If none, all t... | ExtractDataset | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/edw_service.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/edw_service.py | Apache-2.0 |
def FromDebugInfo(cls, info, error_message):
"""Create VirtualMachineError class from debug information.
Args:
info: A dictionary containing debug information (such as traceroute
info).
error_message: the error message from the originating code.
Returns:
a cls excep... | Create VirtualMachineError class from debug information.
Args:
info: A dictionary containing debug information (such as traceroute
info).
error_message: the error message from the originating code.
Returns:
a cls exception class
Raises:
TypeError: if info i... | FromDebugInfo | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/errors.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/errors.py | Apache-2.0 |
def FormatDebugInfo(info, error_message):
"""A function to return a string in human readable format.
Args:
info: A dictionary containing debug information (such as traceroute
info).
error_message: the error message from the originating code.
Returns:
A human readabl... | A function to return a string in human readable format.
Args:
info: A dictionary containing debug information (such as traceroute
info).
error_message: the error message from the originating code.
Returns:
A human readable string of debug information.
| FormatDebugInfo | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/errors.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/errors.py | Apache-2.0 |
def GetCurrentUser():
"""Get the current user name.
On some systems the current user information may be unavailable. In these
cases we just need a string to tag the created resources with. It should
not be a fatal error.
Returns:
User name OR default string if user name not available.
"""
try:
r... | Get the current user name.
On some systems the current user information may be unavailable. In these
cases we just need a string to tag the created resources with. It should
not be a fatal error.
Returns:
User name OR default string if user name not available.
| GetCurrentUser | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flags.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flags.py | Apache-2.0 |
def _GetMultiStringFromList(flag: str, args: str) -> List[str]:
"""Gets multi string args from a comma-delineated string."""
items = args.strip('=').split(',')
return [f'--{flag}={item}' for item in items] | Gets multi string args from a comma-delineated string. | _GetMultiStringFromList | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_alias.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_alias.py | Apache-2.0 |
def AliasFlagsFromArgs(
argv: List[str], alias_dict: List[Dict[str, str]] = ALL_TRANSLATIONS
) -> List[str]:
"""Alias flags to support backwards compatibility."""
original_to_translation = _FlattenTranslationsDicts(alias_dict)
new_argv = []
for arg in argv:
result = [arg]
for original in original_to... | Alias flags to support backwards compatibility. | AliasFlagsFromArgs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_alias.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_alias.py | Apache-2.0 |
def _IsNonIncreasing(result, val):
"""Determines if result would be non-increasing if val is appended.
Args:
result: list integers and/or range tuples.
val: integer or range tuple to append.
Returns:
bool indicating if the appended list is non-increasing.
"""
if result:
if isinstance(result[... | Determines if result would be non-increasing if val is appended.
Args:
result: list integers and/or range tuples.
val: integer or range tuple to append.
Returns:
bool indicating if the appended list is non-increasing.
| _IsNonIncreasing | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def parse(self, inp):
"""Parse an integer list.
Args:
inp: a string, a list, or an IntegerList.
Returns:
An iterable of integers.
Raises:
ValueError: if inp doesn't follow a format it recognizes.
"""
if isinstance(inp, IntegerList):
return inp
elif isinstance(inp,... | Parse an integer list.
Args:
inp: a string, a list, or an IntegerList.
Returns:
An iterable of integers.
Raises:
ValueError: if inp doesn't follow a format it recognizes.
| parse | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def DEFINE_integerlist(
name, default, help, on_nonincreasing=None, flag_values=FLAGS, **kwargs
):
"""Register a flag whose value must be an integer list."""
parser = IntegerListParser(on_nonincreasing=on_nonincreasing)
serializer = IntegerListSerializer()
flags.DEFINE(parser, name, default, help, flag_va... | Register a flag whose value must be an integer list. | DEFINE_integerlist | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def __init__(
self, flag_values, config_dict, alias=flag_alias.ALL_TRANSLATIONS
):
"""Initializes an OverrideFlags context manager.
Args:
flag_values: FlagValues that is temporarily modified so that any options
in config_dict that are not 'present' in flag_values are applied to
fl... | Initializes an OverrideFlags context manager.
Args:
flag_values: FlagValues that is temporarily modified so that any options
in config_dict that are not 'present' in flag_values are applied to
flag_values. Upon exit, flag_values will be restored to its original
state.
config_dic... | __init__ | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def __init__(self, convertible_to):
"""Initialize the UnitsParser.
Args:
convertible_to: Either an individual unit specification or a series of
unit specifications, where each unit specification is either a string
(e.g. 'byte') or a units.Unit. The parser input must be convertible to
... | Initialize the UnitsParser.
Args:
convertible_to: Either an individual unit specification or a series of
unit specifications, where each unit specification is either a string
(e.g. 'byte') or a units.Unit. The parser input must be convertible to
at least one of the specified Units, or... | __init__ | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def parse(self, inp):
"""Parse the input.
Args:
inp: a string or a units.Quantity. If a string, it has the format
"<number><units>", as in "12KB", or "2.5GB".
Returns:
A units.Quantity.
Raises:
ValueError: If the input cannot be parsed, or if it parses to a value with
... | Parse the input.
Args:
inp: a string or a units.Quantity. If a string, it has the format
"<number><units>", as in "12KB", or "2.5GB".
Returns:
A units.Quantity.
Raises:
ValueError: If the input cannot be parsed, or if it parses to a value with
improper units.
| parse | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def DEFINE_units(
name, default, help, convertible_to, flag_values=flags.FLAGS, **kwargs
):
"""Register a flag whose value is a units expression.
Args:
name: string. The name of the flag.
default: units.Quantity. The default value.
help: string. A help message for the user.
convertible_to: Eith... | Register a flag whose value is a units expression.
Args:
name: string. The name of the flag.
default: units.Quantity. The default value.
help: string. A help message for the user.
convertible_to: Either an individual unit specification or a series of unit
specifications, where each unit specifi... | DEFINE_units | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def StringToBytes(string):
"""Convert an object size, represented as a string, to bytes.
Args:
string: the object size, as a string with a quantity and a unit.
Returns:
an integer. The number of bytes in the size.
Raises:
ValueError, if either the string does not represent an object size
or i... | Convert an object size, represented as a string, to bytes.
Args:
string: the object size, as a string with a quantity and a unit.
Returns:
an integer. The number of bytes in the size.
Raises:
ValueError, if either the string does not represent an object size
or if the size does not contain an i... | StringToBytes | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def StringToRawPercent(string):
"""Convert a string to a raw percentage value.
Args:
string: the percentage, with '%' on the end.
Returns:
A floating-point number, holding the percentage value.
Raises:
ValueError, if the string can't be read as a percentage.
"""
if len(string) <= 1:
rais... | Convert a string to a raw percentage value.
Args:
string: the percentage, with '%' on the end.
Returns:
A floating-point number, holding the percentage value.
Raises:
ValueError, if the string can't be read as a percentage.
| StringToRawPercent | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def parse(self, inp):
"""Parse the input.
Args:
inp: A string or the result of yaml.safe_load. If a string, should be a
valid YAML document.
"""
if isinstance(inp, str):
# This will work unless the user writes a config with a quoted
# string that, if unquoted, would be parsed... | Parse the input.
Args:
inp: A string or the result of yaml.safe_load. If a string, should be a
valid YAML document.
| parse | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def DEFINE_yaml(name, default, help, flag_values=flags.FLAGS, **kwargs):
"""Register a flag whose value is a YAML expression.
Args:
name: string. The name of the flag.
default: object. The default value of the flag.
help: string. A help message for the user.
flag_values: the absl.flags.FlagValues o... | Register a flag whose value is a YAML expression.
Args:
name: string. The name of the flag.
default: object. The default value of the flag.
help: string. A help message for the user.
flag_values: the absl.flags.FlagValues object to define the flag in.
kwargs: extra arguments to pass to absl.flags... | DEFINE_yaml | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def ParseKeyValuePairs(strings):
"""Parses colon separated key value pairs from a list of strings.
Pairs should be separated by a comma and key and value by a colon, e.g.,
['k1:v1', 'k2:v2,k3:v3'].
Args:
strings: A list of strings.
Returns:
A dict populated with keys and values from the flag.
"""... | Parses colon separated key value pairs from a list of strings.
Pairs should be separated by a comma and key and value by a colon, e.g.,
['k1:v1', 'k2:v2,k3:v3'].
Args:
strings: A list of strings.
Returns:
A dict populated with keys and values from the flag.
| ParseKeyValuePairs | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def GetProvidedCommandLineFlags():
"""Return flag names and values that were specified on the command line.
Returns:
A dictionary of provided flags in the form: {flag_name: flag_value}.
"""
def _GetSerializeableValue(v):
if isinstance(v, enum.Enum):
return v.name
return v
return {
k... | Return flag names and values that were specified on the command line.
Returns:
A dictionary of provided flags in the form: {flag_name: flag_value}.
| GetProvidedCommandLineFlags | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/flag_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/flag_util.py | Apache-2.0 |
def CreateMachineFile(
vms,
num_slots=lambda vm: vm.NumCpusForBenchmark(),
remote_path='MACHINEFILE',
mpi_vendor='openmpi',
):
"""Create a file with the IP of each machine in the cluster on its own line.
The file is then pushed to the provided path on the master vm.
Pass in "num_slots=lambda vm:... | Create a file with the IP of each machine in the cluster on its own line.
The file is then pushed to the provided path on the master vm.
Pass in "num_slots=lambda vm: 0" to create a machine file without a defined
number of slots.
OpenMPI's format: "<host> slots=<slots>"
https://www.open-mpi.org/faq/?cate... | CreateMachineFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/hpc_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/hpc_util.py | Apache-2.0 |
def __init__(self, relational_db_spec):
"""Initialize the IAAS relational database object.
Args:
relational_db_spec: spec of the managed database.
Raises:
UnsupportedError: if high availability is requested for an unmanaged db.
"""
super().__init__(relational_db_spec)
self.spec.da... | Initialize the IAAS relational database object.
Args:
relational_db_spec: spec of the managed database.
Raises:
UnsupportedError: if high availability is requested for an unmanaged db.
| __init__ | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/iaas_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/iaas_relational_db.py | Apache-2.0 |
def server_vm(self):
"""Server VM for hosting a managed database.
Raises:
RelationalDbPropertyNotSetError: if the server_vm is missing.
Returns:
The server_vm.
"""
if not hasattr(self, '_server_vm'):
raise relational_db.RelationalDbPropertyNotSetError(
'server_vm is not... | Server VM for hosting a managed database.
Raises:
RelationalDbPropertyNotSetError: if the server_vm is missing.
Returns:
The server_vm.
| server_vm | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/iaas_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/iaas_relational_db.py | Apache-2.0 |
def _SetupUnmanagedDatabase(self):
"""Installs unmanaged databases on server vm."""
if self.server_vm.OS_TYPE in os_types.WINDOWS_OS_TYPES:
self._SetupWindowsUnamangedDatabase()
else:
self._SetupLinuxUnmanagedDatabase() | Installs unmanaged databases on server vm. | _SetupUnmanagedDatabase | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/iaas_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/iaas_relational_db.py | Apache-2.0 |
def _SetupWindowsUnamangedDatabase(self):
"""Installs unmanaged databases on server vm for Windows."""
raise NotImplementedError(
f'OS Type is not supported {self.server_vm.OS_TYPE}'
) | Installs unmanaged databases on server vm for Windows. | _SetupWindowsUnamangedDatabase | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/iaas_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/iaas_relational_db.py | Apache-2.0 |
def _SetupLinuxUnmanagedDatabase(self):
"""Installs unmanaged databases on server vm for Linux."""
self.server_vm_query_tools.InstallPackages()
self.server_vm.Install('rsync')
if relational_db.OPTIMIZE_DB_SYSCTL_CONFIG.value:
if self.client_vm.IS_REBOOTABLE:
self.client_vm.ApplySysctlPers... | Installs unmanaged databases on server vm for Linux. | _SetupLinuxUnmanagedDatabase | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/iaas_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/iaas_relational_db.py | Apache-2.0 |
def GetDefaultEngineVersion(engine):
"""Returns the default version of a given database engine.
Args:
engine (string): type of database (my_sql or postgres).
Returns:
(string): Default version for the given database engine.
"""
raise NotImplementedError(
'Default engine not spe... | Returns the default version of a given database engine.
Args:
engine (string): type of database (my_sql or postgres).
Returns:
(string): Default version for the given database engine.
| GetDefaultEngineVersion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/iaas_relational_db.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/iaas_relational_db.py | Apache-2.0 |
def LoadModulesForPath(path, package_prefix=None):
"""Recursively load all modules on 'path', with prefix 'package_prefix'.
Example usage:
LoadModulesForPath(__path__, __name__)
Args:
path: Path containing python modules.
package_prefix: prefix (e.g., package name) to prefix all modules. 'path'
... | Recursively load all modules on 'path', with prefix 'package_prefix'.
Example usage:
LoadModulesForPath(__path__, __name__)
Args:
path: Path containing python modules.
package_prefix: prefix (e.g., package name) to prefix all modules. 'path'
and 'package_prefix' will be joined with a '.'.
Yie... | LoadModulesForPath | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/import_util.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/import_util.py | Apache-2.0 |
def _GetOptionDecoderConstructions(cls):
"""Gets decoder classes and constructor args for each configurable option."""
result = super()._GetOptionDecoderConstructions()
result.update({
'cloud': (
option_decoders.EnumDecoder,
{
# Uncomment when there are other ... | Gets decoder classes and constructor args for each configurable option. | _GetOptionDecoderConstructions | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/key.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/key.py | Apache-2.0 |
def CreateRenderedManifestFile(filename, config):
"""Returns a file containing a rendered Jinja manifest (.j2) template."""
manifest_filename = data.ResourcePath(filename)
environment = jinja2.Environment(undefined=jinja2.StrictUndefined)
with open(manifest_filename) as manifest_file:
manifest_template = en... | Returns a file containing a rendered Jinja manifest (.j2) template. | CreateRenderedManifestFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/kubernetes_helper.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/kubernetes_helper.py | Apache-2.0 |
def ParseRangeList(csv_list: str) -> set[int]:
"""Parses a comma separated list of numbers and/or ranges into a set of ints.
Args:
csv_list: The CSV list to parse.
Returns:
A set of integers.
"""
if not csv_list:
return set()
answer: set[int] = set()
if ',' in csv_list:
items_to_convert... | Parses a comma separated list of numbers and/or ranges into a set of ints.
Args:
csv_list: The CSV list to parse.
Returns:
A set of integers.
| ParseRangeList | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def AddLine(self, full_line: str) -> None:
"""Parses a line of output from the cpu/vulnerabilities/* files."""
if not full_line:
return
file_path, line = full_line.split(':', 1)
file_name = posixpath.basename(file_path)
if self._AddMitigation(file_name, line):
return
if self._AddVuln... | Parses a line of output from the cpu/vulnerabilities/* files. | AddLine | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def asdict(self) -> Dict[str, str]:
"""Returns the parsed CPU vulnerabilities as a dict."""
ret = {}
if self.mitigations:
ret['mitigations'] = ','.join(sorted(self.mitigations))
for key, value in self.mitigations.items():
ret[f'mitigation_{key}'] = value
if self.vulnerabilities:
... | Returns the parsed CPU vulnerabilities as a dict. | asdict | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def __init__(self, uname: str):
"""KernelVersion Constructor.
Args:
uname: A string in the format of "uname -r" command
"""
# example format would be: "4.5.0-96-generic"
# or "3.10.0-514.26.2.el7.x86_64" for centos
# major.minor.Rest
# in this example, major = 4, minor = 5
self.n... | KernelVersion Constructor.
Args:
uname: A string in the format of "uname -r" command
| __init__ | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def AtLeast(self, major, minor):
"""Check If the kernel version meets a minimum bar.
The kernel version needs to be at least as high as the major.minor
specified in args.
Args:
major: The major number to test, as an integer
minor: The minor number to test, as an integer
Returns:
... | Check If the kernel version meets a minimum bar.
The kernel version needs to be at least as high as the major.minor
specified in args.
Args:
major: The major number to test, as an integer
minor: The minor number to test, as an integer
Returns:
True if the kernel version is at least ... | AtLeast | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _SetTransparentHugepages(self):
"""Sets transparent hugepages based on --enable_transparent_hugepages.
If the flag is unset (None), this is a nop.
"""
if FLAGS.enable_transparent_hugepages is None:
return
setting = 'always' if FLAGS.enable_transparent_hugepages else 'never'
self.Remot... | Sets transparent hugepages based on --enable_transparent_hugepages.
If the flag is unset (None), this is a nop.
| _SetTransparentHugepages | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _DisableCstates(self):
"""Disable cstates that either match or deeper than the given cstate."""
cstate = _DISABLE_CSTATE_BY_NAME_AND_DEEPER.value
if not cstate:
return
cstates = self._GetOrderedCstates()
if not cstates:
raise ValueError(
'No cstates found, the system does n... | Disable cstates that either match or deeper than the given cstate. | _DisableCstates | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _GetOrderedCstates(self) -> list[str] | None:
"""Returns the ordered cstates by querying the sysfs cpuidle path.
The ordering is obtained by the alphabetical wildcard expansion.
"""
query_paths = f'{_SYSFS_CPU_PATH}/cpu0/cpuidle/state*/name'
if not self._RemoteFileExists(query_paths):
ret... | Returns the ordered cstates by querying the sysfs cpuidle path.
The ordering is obtained by the alphabetical wildcard expansion.
| _GetOrderedCstates | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _SetupRobustCommand(self):
"""Sets up the RobustRemoteCommand tooling.
This includes installing python3 and pushing scripts required by
RobustRemoteCommand to this VM. There is a check to skip if previously
installed.
"""
with self._remote_command_script_upload_lock:
if not self._has... | Sets up the RobustRemoteCommand tooling.
This includes installing python3 and pushing scripts required by
RobustRemoteCommand to this VM. There is a check to skip if previously
installed.
| _SetupRobustCommand | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def RobustRemoteCommand(
self,
command: str,
timeout: float | None = None,
ignore_failure: bool = False,
) -> Tuple[str, str]:
"""Runs a command on the VM in a more robust way than RemoteCommand.
This is used for long-running commands that might experience network issues
that woul... | Runs a command on the VM in a more robust way than RemoteCommand.
This is used for long-running commands that might experience network issues
that would normally interrupt a RemoteCommand and fail to provide results.
Executes a command via a pair of scripts on the VM:
* EXECUTE_COMMAND, which runs 'co... | RobustRemoteCommand | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def SetupRemoteFirewall(self):
"""Sets up IP table configurations on the VM."""
self.RemoteHostCommand('sudo iptables -A INPUT -j ACCEPT')
self.RemoteHostCommand('sudo iptables -A OUTPUT -j ACCEPT') | Sets up IP table configurations on the VM. | SetupRemoteFirewall | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def SetupProxy(self):
"""Sets up proxy configuration variables for the cloud environment."""
env_file = '/etc/environment'
commands = []
if FLAGS.http_proxy:
commands.append(
"echo 'http_proxy=%s' | sudo tee -a %s" % (FLAGS.http_proxy, env_file)
)
if FLAGS.https_proxy:
... | Sets up proxy configuration variables for the cloud environment. | SetupProxy | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _DisableCpus(self):
"""Apply num_disable_cpus to the VM.
Raises:
ValueError: if num_disable_cpus is outside of (0 ... num_cpus-1)
inclusive
"""
if not FLAGS.num_disable_cpus:
return
self.num_disable_cpus = FLAGS.num_disable_cpus
if self.num_disable_cpus <= 0 ... | Apply num_disable_cpus to the VM.
Raises:
ValueError: if num_disable_cpus is outside of (0 ... num_cpus-1)
inclusive
| _DisableCpus | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _GetNextCPUToDisable(num_disable_cpus):
"""Get the next CPU id to disable."""
numa_nodes = list(cpu_mapping)
while num_disable_cpus:
for numa in sorted(numa_nodes, reverse=True):
cpu_id, _ = cpu_mapping[numa].pop()
num_disable_cpus -= 1
yield cpu_id
... | Get the next CPU id to disable. | _GetNextCPUToDisable | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def FillDisk(self):
"""Fills the primary scratch disk with a zeros file."""
if FLAGS.disk_fill_size:
out_file = posixpath.join(self.scratch_disks[0].mount_point, 'fill_file')
self.RobustRemoteCommand(
'dd if=/dev/zero of={out_file} bs=1G count={fill_size}'.format(
out_file=ou... | Fills the primary scratch disk with a zeros file. | FillDisk | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _ApplySysctlPersistent(self, sysctl_params):
"""Apply "key=value" pairs to /etc/sysctl.conf and load via sysctl -p.
These values should remain persistent across future reboots.
Args:
sysctl_params: dict - the keys and values to write
"""
if not sysctl_params:
return
for key, v... | Apply "key=value" pairs to /etc/sysctl.conf and load via sysctl -p.
These values should remain persistent across future reboots.
Args:
sysctl_params: dict - the keys and values to write
| _ApplySysctlPersistent | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def ApplySysctlPersistent(self, sysctl_params, should_reboot=False):
"""Apply "key=value" pairs to /etc/sysctl.conf and load via sysctl -p.
These values should remain persistent across future reboots.
Args:
sysctl_params: dict - the keys and values to write
should_reboot: bool - whether to reb... | Apply "key=value" pairs to /etc/sysctl.conf and load via sysctl -p.
These values should remain persistent across future reboots.
Args:
sysctl_params: dict - the keys and values to write
should_reboot: bool - whether to reboot after applying sysctl changes
| ApplySysctlPersistent | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def DoSysctls(self):
"""Apply --sysctl to the VM.
The Sysctl pairs are written persistently so that if a reboot
occurs, the flags are not lost.
"""
sysctl_params = {}
for pair in FLAGS.sysctl:
key, value = pair.split('=')
sysctl_params[key] = value
self._ApplySysctlPersistent(sy... | Apply --sysctl to the VM.
The Sysctl pairs are written persistently so that if a reboot
occurs, the flags are not lost.
| DoSysctls | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def DoConfigureTCPWindow(self):
"""Change TCP window parameters in sysctl."""
possible_tcp_flags = [
FLAGS.tcp_max_receive_buffer,
FLAGS.tcp_max_send_buffer,
_TCP_MAX_NOTSENT_BYTES.value,
FLAGS.rmem_max,
FLAGS.wmem_max,
]
# Return if none of these flags are set
... | Change TCP window parameters in sysctl. | DoConfigureTCPWindow | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _RebootIfNecessary(self):
"""Will reboot the VM if self._needs_reboot has been set."""
if self._needs_reboot:
self.Reboot()
self._needs_reboot = False | Will reboot the VM if self._needs_reboot has been set. | _RebootIfNecessary | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def TcpCongestionControl(self):
"""Return the congestion control used for tcp."""
try:
resp, _ = self.RemoteCommand(
'cat /proc/sys/net/ipv4/tcp_congestion_control'
)
return resp.rstrip('\n')
except errors.VirtualMachine.RemoteCommandError:
return 'unknown' | Return the congestion control used for tcp. | TcpCongestionControl | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def GetCPUVersion(self):
"""Get the CPU version of the VM.
Refer to flag definition '--required_cpu_version' in virtual_machine.py for
more details.
Returns:
guest_arch: str.
"""
proccpu_results = self.CheckProcCpu(check_cache=False).GetValues()
if 'vendor_id' in proccpu_results:
... | Get the CPU version of the VM.
Refer to flag definition '--required_cpu_version' in virtual_machine.py for
more details.
Returns:
guest_arch: str.
| GetCPUVersion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def CheckLsCpu(self):
"""Returns a LsCpuResults from the host VM."""
if not self._lscpu_cache:
lscpu, _ = self.RemoteCommand('lscpu')
self._lscpu_cache = LsCpuResults(lscpu)
return self._lscpu_cache | Returns a LsCpuResults from the host VM. | CheckLsCpu | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def CheckProcCpu(self, check_cache=True):
"""Returns a ProcCpuResults from the host VM."""
if not self._proccpu_cache or not check_cache:
proccpu, _ = self.RemoteCommand('cat /proc/cpuinfo')
self._proccpu_cache = ProcCpuResults(proccpu)
return self._proccpu_cache | Returns a ProcCpuResults from the host VM. | CheckProcCpu | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def GetOsInfo(self) -> str:
"""Returns information regarding OS type and version."""
stdout, _ = self.RemoteCommand('grep PRETTY_NAME /etc/os-release')
return regex_util.ExtractGroup(OS_PRETTY_NAME_REGEXP, stdout) | Returns information regarding OS type and version. | GetOsInfo | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def cpu_arch(self) -> str:
"""Returns the CPU architecture of the VM."""
if not self._cpu_arch:
self._cpu_arch = self.RemoteCommand('uname -m')[0].strip()
return self._cpu_arch | Returns the CPU architecture of the VM. | cpu_arch | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def WaitForBootCompletion(self):
"""Waits until the VM has booted."""
# Test for listening on the port first, because this will happen strictly
# first.
if (
FLAGS.cluster_boot_test_port_listening
and self.port_listening_time is None
):
self.TestConnectRemoteAccessPort()
... | Waits until the VM has booted. | WaitForBootCompletion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _WaitForSSH(self, ip_address: Union[str, None] = None):
"""Waits until the VM is ready."""
# Always wait for remote host command to succeed, because it is necessary to
# run benchmarks
resp, _ = self.RemoteHostCommand(
'hostname', retries=1, ip_address=ip_address
)
if self.hostname i... | Waits until the VM is ready. | _WaitForSSH | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def RecordAdditionalMetadata(self):
"""After the VM has been prepared, store metadata about the VM."""
super().RecordAdditionalMetadata()
if not self.bootable_time:
logging.warning(
'RecordAdditionalMetadata: skipping additional metadata'
' capture due to an unreachable VM.'
... | After the VM has been prepared, store metadata about the VM. | RecordAdditionalMetadata | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _get_network_device_mtus(self) -> Dict[str, str]:
"""Returns network device names and their MTUs."""
if not self._network_device_mtus:
stdout, _ = self.RemoteCommand('PATH="${PATH}":/usr/sbin ip link show up')
self._network_device_mtus = {}
for line in stdout.splitlines():
m = self... | Returns network device names and their MTUs. | _get_network_device_mtus | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def VMLastBootTime(self):
"""Returns the time the VM was last rebooted as reported by the VM.
See
https://unix.stackexchange.com/questions/165002/how-to-reliably-get-timestamp-at-which-the-system-booted.
"""
stdout, _ = self.RemoteHostCommand('stat -c %z /proc/', retries=1)
if stdout.startswith... | Returns the time the VM was last rebooted as reported by the VM.
See
https://unix.stackexchange.com/questions/165002/how-to-reliably-get-timestamp-at-which-the-system-booted.
| VMLastBootTime | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def PackageCleanup(self):
"""Cleans up all installed packages.
Deletes the temp directory, restores packages, and uninstalls all
PerfKit packages.
"""
for package_name in self._installed_packages:
self.Uninstall(package_name)
self.RestorePackages()
self.RemoteCommand('sudo rm -rf %s' ... | Cleans up all installed packages.
Deletes the temp directory, restores packages, and uninstalls all
PerfKit packages.
| PackageCleanup | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def IsMounted(self, mount_point: str, dev_path: str):
"""Returns whether the given mount point is mounted."""
# GCP disk uses a symlink for the device path, so we need to translate it
# to the actual device path. For other cloud providers, the device path
# should already be the actual device path and r... | Returns whether the given mount point is mounted. | IsMounted | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def FormatDisk(self, device_path, disk_type=None):
"""Formats a disk attached to the VM."""
# Some images may automount one local disk, but we don't
# want to fail if this wasn't the case.
if disk.NFS == disk_type:
return
if disk.SMB == disk_type:
return
umount_cmd = '[[ -d /mnt ]] &... | Formats a disk attached to the VM. | FormatDisk | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def MountDisk(
self,
device_path,
mount_path,
disk_type=None,
mount_options=disk.DEFAULT_MOUNT_OPTIONS,
fstab_options=disk.DEFAULT_FSTAB_OPTIONS,
):
"""Mounts a formatted disk in the VM."""
mount_options = '-o %s' % mount_options if mount_options else ''
if disk.NFS == ... | Mounts a formatted disk in the VM. | MountDisk | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def LogVmDebugInfo(self):
"""Logs the output of calling dmesg on the VM."""
if FLAGS.log_dmesg:
self.RemoteCommand('hostname && sudo dmesg') | Logs the output of calling dmesg on the VM. | LogVmDebugInfo | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def RemoteHostCopy(self, file_path, remote_path='', copy_to=True):
"""Copies a file to or from the VM.
Args:
file_path: Local path to file.
remote_path: Optional path of where to copy file on remote host.
copy_to: True to copy to vm, False to copy from vm.
Raises:
RemoteCommandErro... | Copies a file to or from the VM.
Args:
file_path: Local path to file.
remote_path: Optional path of where to copy file on remote host.
copy_to: True to copy to vm, False to copy from vm.
Raises:
RemoteCommandError: If there was a problem copying the file.
| RemoteHostCopy | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def RemoteCommand(self, *args, **kwargs) -> Tuple[str, str]:
"""Runs a command on the VM.
Args:
*args: Arguments passed directly to RemoteCommandWithReturnCode.
**kwargs: Keyword arguments passed directly to
RemoteCommandWithReturnCode.
Returns:
A tuple of stdout, stderr from run... | Runs a command on the VM.
Args:
*args: Arguments passed directly to RemoteCommandWithReturnCode.
**kwargs: Keyword arguments passed directly to
RemoteCommandWithReturnCode.
Returns:
A tuple of stdout, stderr from running the command.
Raises:
RemoteCommandError: If there wa... | RemoteCommand | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def RemoteCommandWithReturnCode(
self, *args, **kwargs
) -> Tuple[str, str, int]:
"""Runs a command on the VM.
Args:
*args: Arguments passed directly to RemoteHostCommandWithReturnCode.
**kwargs: Keyword arguments passed directly to
RemoteHostCommandWithReturnCode.
Returns:
... | Runs a command on the VM.
Args:
*args: Arguments passed directly to RemoteHostCommandWithReturnCode.
**kwargs: Keyword arguments passed directly to
RemoteHostCommandWithReturnCode.
Returns:
A tuple of stdout, stderr, return_code from running the command.
Raises:
RemoteComm... | RemoteCommandWithReturnCode | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def RemoteHostCommandWithReturnCode(
self,
command: str,
retries: int | None = None,
ignore_failure: bool = False,
login_shell: bool = False,
disable_tty_lock: bool = False,
timeout: float | None = None,
ip_address: str | None = None,
should_pre_log: bool = True,
... | Runs a command on the VM.
This is guaranteed to run on the host VM, whereas RemoteCommand might run
within i.e. a container in the host VM.
Args:
command: A valid bash command.
retries: The maximum number of times RemoteCommand should retry SSHing
when it receives a 255 return code. If... | RemoteHostCommandWithReturnCode | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def RemoteHostCommand(self, *args, **kwargs) -> Tuple[str, str]:
"""Runs a command on the VM.
This is guaranteed to run on the host VM, whereas RemoteCommand might run
within i.e. a container in the host VM.
Args:
*args: Arguments passed directly to RemoteHostCommandWithReturnCode.
**kwarg... | Runs a command on the VM.
This is guaranteed to run on the host VM, whereas RemoteCommand might run
within i.e. a container in the host VM.
Args:
*args: Arguments passed directly to RemoteHostCommandWithReturnCode.
**kwargs: Keyword arguments passed directly to
RemoteHostCommandWithRet... | RemoteHostCommand | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _Reboot(self):
"""OS-specific implementation of reboot command."""
self._CheckRebootability()
self.RemoteCommand('sudo reboot', ignore_failure=True) | OS-specific implementation of reboot command. | _Reboot | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _AfterReboot(self):
"""Performs any OS-specific setup on the VM following reboot.
This will be called after every call to Reboot().
"""
# redetect os metadata as it might have changed
self._os_info = None
self._kernel_release = None
self._kernel_command_line = None
self._lscpu_cache... | Performs any OS-specific setup on the VM following reboot.
This will be called after every call to Reboot().
| _AfterReboot | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def MoveHostFile(self, target, source_path, remote_path=''):
"""Copies a file from one VM to a target VM.
Args:
target: The target BaseVirtualMachine object.
source_path: The location of the file on the REMOTE machine.
remote_path: The destination of the file on the TARGET machine, default is... | Copies a file from one VM to a target VM.
Args:
target: The target BaseVirtualMachine object.
source_path: The location of the file on the REMOTE machine.
remote_path: The destination of the file on the TARGET machine, default is
the home directory.
| MoveHostFile | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def AuthenticateVm(self):
"""Authenticate a remote machine to access all peers."""
if not self.has_private_key:
if not self.is_static:
self.RemoteHostCopy(vm_util.GetPrivateKeyPath(), REMOTE_KEY_PATH)
elif self.ssh_private_key and FLAGS.copy_ssh_private_keys_into_static_vms:
logging.... | Authenticate a remote machine to access all peers. | AuthenticateVm | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def TestAuthentication(self, peer):
"""Tests whether the VM can access its peer.
Raises:
AuthError: If the VM cannot access its peer.
"""
if not self.TryRemoteCommand('ssh %s hostname' % peer.internal_ip):
raise errors.VirtualMachine.AuthError(
'Authentication check failed. If you... | Tests whether the VM can access its peer.
Raises:
AuthError: If the VM cannot access its peer.
| TestAuthentication | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def CheckJavaVersion(self):
"""Check the version of java on remote machine.
Returns:
The version of Java installed on remote machine.
"""
version, _ = self.RemoteCommand(
"java -version 2>&1 >/dev/null | grep version | awk '{print $3}'"
)
return version[:-1] | Check the version of java on remote machine.
Returns:
The version of Java installed on remote machine.
| CheckJavaVersion | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def GetDeviceSizeFromPath(self, path):
"""Gets the size of the a drive that contains the path specified.
Args:
path: The function will return the amount of space on the file system that
contains this file name.
Returns:
The size in 1K blocks of the file system containing the file.
... | Gets the size of the a drive that contains the path specified.
Args:
path: The function will return the amount of space on the file system that
contains this file name.
Returns:
The size in 1K blocks of the file system containing the file.
| GetDeviceSizeFromPath | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _RemoteFileExists(self, file_path: str) -> bool:
"""Returns true if the file exists on the VM."""
stdout, _ = self.RemoteCommand(
f'ls {file_path} >> /dev/null 2>&1 || echo file_not_exist'
)
return not stdout | Returns true if the file exists on the VM. | _RemoteFileExists | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def GetCpusAllowedSet(self) -> set[int]:
r"""Returns the list of CPUs allowed for the current process.
Processes the output of the following files in order:
1. /sys/fs/cgroup/cpuset.cpus.effective
2. /proc/self/status
3. /proc/cpuinfo
Below are the example of their returns:
$ cat XX/cpuset... | Returns the list of CPUs allowed for the current process.
Processes the output of the following files in order:
1. /sys/fs/cgroup/cpuset.cpus.effective
2. /proc/self/status
3. /proc/cpuinfo
Below are the example of their returns:
$ cat XX/cpuset.cpus.effective :
0-23
$ cat /proc/... | GetCpusAllowedSet | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _GetNumCpus(self):
"""Returns the number of logical CPUs on the VM.
If the flag `use_numcpu_multi_files` is true,
call GetCpusAllowedSet function to help calculate the number of CPUs.
Otherwise, extracts the value from `/proc/cpuinfo` file.
This method does not cache results (unlike "num_cpus")... | Returns the number of logical CPUs on the VM.
If the flag `use_numcpu_multi_files` is true,
call GetCpusAllowedSet function to help calculate the number of CPUs.
Otherwise, extracts the value from `/proc/cpuinfo` file.
This method does not cache results (unlike "num_cpus").
| _GetNumCpus | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _GetTotalFreeMemoryKb(self):
"""Calculate amount of free memory in KB of the given vm.
Free memory is calculated as sum of free, cached, and buffers
as output from /proc/meminfo.
Returns:
free memory on the vm in KB
"""
stdout, _ = self.RemoteCommand("""
awk '
BEGIN ... | Calculate amount of free memory in KB of the given vm.
Free memory is calculated as sum of free, cached, and buffers
as output from /proc/meminfo.
Returns:
free memory on the vm in KB
| _GetTotalFreeMemoryKb | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def SetupLocalDisks(self):
"""Performs Linux specific setup of local disks."""
local_disks = []
for d in self.scratch_disks:
if d.disk_type == disk.LOCAL and d.IsNvme():
if isinstance(d, disk.StripedDisk):
local_disks += d.disks
else:
local_disks.append(d)
if _E... | Performs Linux specific setup of local disks. | SetupLocalDisks | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def hasStripedDiskDevice(self, dev_name: str) -> bool:
"""Checks if the striped disk device exists or not.
Args:
dev_name: The name of the device.
Returns:
True if the striped disk device exists.
"""
# Suppress the error as it's not a blocker to the test if the command fails.
# The... | Checks if the striped disk device exists or not.
Args:
dev_name: The name of the device.
Returns:
True if the striped disk device exists.
| hasStripedDiskDevice | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def StripeDisks(self, devices, striped_device):
"""Raids disks together using mdadm.
Args:
devices: A list of device paths that should be striped together.
striped_device: The path to the device that will be created.
"""
self.Install('mdadm')
stripe_cmd = (
'yes | sudo mdadm --c... | Raids disks together using mdadm.
Args:
devices: A list of device paths that should be striped together.
striped_device: The path to the device that will be created.
| StripeDisks | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def IsDiskFormatted(self, dev_name, num_partitions):
"""Checks if the disk is formatted.
Args:
dev_name: The name of the device.
num_partitions: The number of new partitions to create.
Returns:
True if the disk is already formatted with given number of partitions.
"""
# Check how... | Checks if the disk is formatted.
Args:
dev_name: The name of the device.
num_partitions: The number of new partitions to create.
Returns:
True if the disk is already formatted with given number of partitions.
| IsDiskFormatted | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def PartitionDisk(self, dev_name, dev_path, num_partitions, partition_size):
"""Partitions the disk into smaller pieces.
Args:
dev_name: The name of the device.
dev_path: The device path that should be partitioned.
num_partitions: The number of new partitions to create.
partition_size: ... | Partitions the disk into smaller pieces.
Args:
dev_name: The name of the device.
dev_path: The device path that should be partitioned.
num_partitions: The number of new partitions to create.
partition_size: The size of each partition. The last partition will use
the rest of the devi... | PartitionDisk | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def BurnCpu(self, burn_cpu_threads=None, burn_cpu_seconds=None):
"""Burns vm cpu for some amount of time and dirty cache.
Args:
burn_cpu_threads: Number of threads to burn cpu.
burn_cpu_seconds: Amount of time in seconds to burn cpu.
"""
burn_cpu_threads = burn_cpu_threads or FLAGS.burn_cpu... | Burns vm cpu for some amount of time and dirty cache.
Args:
burn_cpu_threads: Number of threads to burn cpu.
burn_cpu_seconds: Amount of time in seconds to burn cpu.
| BurnCpu | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def SetReadAhead(self, num_sectors, devices):
"""Set read-ahead value for block devices.
Args:
num_sectors: int. Number of sectors of read ahead.
devices: list of strings. A list of block devices.
"""
self.RemoteCommand(
'sudo blockdev --setra {0} {1}; sudo blockdev --setfra {0} {1}... | Set read-ahead value for block devices.
Args:
num_sectors: int. Number of sectors of read ahead.
devices: list of strings. A list of block devices.
| SetReadAhead | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def GetSha256sum(self, path, filename):
"""Gets the sha256sum hash for a filename in a path on the VM.
Args:
path: string; Path on the VM.
filename: string; Name of the file in the path.
Returns:
string; The sha256sum hash.
"""
stdout, _ = self.RemoteCommand(
'sha256sum %... | Gets the sha256sum hash for a filename in a path on the VM.
Args:
path: string; Path on the VM.
filename: string; Name of the file in the path.
Returns:
string; The sha256sum hash.
| GetSha256sum | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def AppendKernelCommandLine(self, command_line, reboot=True):
"""Appends the provided command-line to the VM and reboots by default.
This method should be overwritten by the desired Linux flavor to be useful.
Most (all?) Linux flavors modify the kernel command line by updating the
GRUB configuration fi... | Appends the provided command-line to the VM and reboots by default.
This method should be overwritten by the desired Linux flavor to be useful.
Most (all?) Linux flavors modify the kernel command line by updating the
GRUB configuration files and rebooting.
Args:
command_line: The string to appen... | AppendKernelCommandLine | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def _DoAppendKernelCommandLine(self):
"""If the flag is set, attempts to append the provided kernel command line.
In addition, to consolidate reboots during VM prepare, this method sets the
needs reboot bit instead of immediately rebooting.
"""
if FLAGS.disable_smt and self.CheckLsCpu().threads_per... | If the flag is set, attempts to append the provided kernel command line.
In addition, to consolidate reboots during VM prepare, this method sets the
needs reboot bit instead of immediately rebooting.
| _DoAppendKernelCommandLine | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
def ModifyKernelModules(self):
"""Add or remove kernel modules based on flags."""
for module in _KERNEL_MODULES_TO_ADD.value:
self.RemoteCommand(f'sudo modprobe {module}')
for module in _KERNEL_MODULES_TO_REMOVE.value:
self.RemoteCommand(f'sudo modprobe -r {module}') | Add or remove kernel modules based on flags. | ModifyKernelModules | python | GoogleCloudPlatform/PerfKitBenchmarker | perfkitbenchmarker/linux_virtual_machine.py | https://github.com/GoogleCloudPlatform/PerfKitBenchmarker/blob/master/perfkitbenchmarker/linux_virtual_machine.py | Apache-2.0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.