Class MetricsV1Beta3Client (0.4.1)

MetricsV1Beta3Client(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dataflow_v1beta3.services.metrics_v1_beta3.transports.base.MetricsV1Beta3Transport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

The Dataflow Metrics API lets you monitor the progress of Dataflow jobs.

Properties

transport

Returns the transport used by the client instance.

Returns
Type	Description
`MetricsV1Beta3Transport`	The transport used by the client instance.

Methods

MetricsV1Beta3Client

MetricsV1Beta3Client(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dataflow_v1beta3.services.metrics_v1_beta3.transports.base.MetricsV1Beta3Transport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the metrics v1 beta3 client.

Parameters
Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Union[str, MetricsV1Beta3Transport]` The transport to use. If set to None, a transport is chosen automatically.
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.
`client_info`	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If mutual TLS transport creation failed for any reason.

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`MetricsV1Beta3Client`	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
Name	Description
`info`	`dict` The service account private key info.

Returns
Type	Description
`MetricsV1Beta3Client`	The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`MetricsV1Beta3Client`	The constructed client.

get_job_execution_details

get_job_execution_details(request: Optional[Union[google.cloud.dataflow_v1beta3.types.metrics.GetJobExecutionDetailsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Request detailed information about the execution status of the job. EXPERIMENTAL. This API is subject to change or removal without notice.

from google.cloud import dataflow_v1beta3
def sample_get_job_execution_details():
 # Create a client
 client = dataflow_v1beta3.MetricsV1Beta3Client()
 # Initialize request argument(s)
 request = dataflow_v1beta3.GetJobExecutionDetailsRequest(
 )
 # Make the request
 page_result = client.get_job_execution_details(request=request)
 # Handle the response
 for response in page_result:
 print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataflow_v1beta3.types.GetJobExecutionDetailsRequest, dict]` The request object. Request to get job execution details.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dataflow_v1beta3.services.metrics_v1_beta3.pagers.GetJobExecutionDetailsPager`	Information about the execution of a job. Iterating over this object will yield results and resolve additional pages automatically.

get_job_metrics

get_job_metrics(request: Optional[Union[google.cloud.dataflow_v1beta3.types.metrics.GetJobMetricsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Request the job status.

To request the status of a job, we recommend using projects.locations.jobs.getMetrics with a regional endpoint. Using projects.jobs.getMetrics is not recommended, as you can only request the status of jobs that are running in us-central1.

from google.cloud import dataflow_v1beta3
def sample_get_job_metrics():
 # Create a client
 client = dataflow_v1beta3.MetricsV1Beta3Client()
 # Initialize request argument(s)
 request = dataflow_v1beta3.GetJobMetricsRequest(
 )
 # Make the request
 response = client.get_job_metrics(request=request)
 # Handle the response
 print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataflow_v1beta3.types.GetJobMetricsRequest, dict]` The request object. Request to get job metrics.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dataflow_v1beta3.types.JobMetrics`	JobMetrics contains a collection of metrics describing the detailed progress of a Dataflow job. Metrics correspond to user-defined and system-defined metrics in the job. This resource captures only the most recent values of each metric; time-series data can be queried for them (under the same metric names) from Cloud Monitoring.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
 client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variabel is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter
Name	Description
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns
Type	Description
`Tuple[str, Callable[[], Tuple[bytes, bytes]]]`	returns the API endpoint and the client cert source to use.

get_stage_execution_details

get_stage_execution_details(request: Optional[Union[google.cloud.dataflow_v1beta3.types.metrics.GetStageExecutionDetailsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Request detailed information about the execution status of a stage of the job.

EXPERIMENTAL. This API is subject to change or removal without notice.

from google.cloud import dataflow_v1beta3
def sample_get_stage_execution_details():
 # Create a client
 client = dataflow_v1beta3.MetricsV1Beta3Client()
 # Initialize request argument(s)
 request = dataflow_v1beta3.GetStageExecutionDetailsRequest(
 )
 # Make the request
 page_result = client.get_stage_execution_details(request=request)
 # Handle the response
 for response in page_result:
 print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataflow_v1beta3.types.GetStageExecutionDetailsRequest, dict]` The request object. Request to get information about a particular execution stage of a job. Currently only tracked for Batch jobs.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dataflow_v1beta3.services.metrics_v1_beta3.pagers.GetStageExecutionDetailsPager`	Information about the workers and work items within a stage. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.