Class JobsV1Beta3AsyncClient (0.4.1)

JobsV1Beta3AsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.transports.base.JobsV1Beta3Transport] = 'grpc_asyncio', 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>)

Provides a method to create and modify Google Cloud Dataflow jobs. A Job is a multi-stage computation graph run by the Cloud Dataflow service.

Properties

transport

Returns the transport used by the client instance.

Returns
Type	Description
`JobsV1Beta3Transport`	The transport used by the client instance.

Methods

JobsV1Beta3AsyncClient

JobsV1Beta3AsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.transports.base.JobsV1Beta3Transport] = 'grpc_asyncio', 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 jobs 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, .JobsV1Beta3Transport]` The transport to use. If set to None, a transport is chosen automatically.
`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.

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

aggregated_list_jobs

aggregated_list_jobs(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.ListJobsRequest, 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]] = ())

List the jobs of a project across all regions.

from google.cloud import dataflow_v1beta3

def sample_aggregated_list_jobs():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3Client()

    # Initialize request argument(s)
    request = dataflow_v1beta3.ListJobsRequest(
    )

    # Make the request
    page_result = client.aggregated_list_jobs(request=request)

    # Handle the response
    for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataflow_v1beta3.types.ListJobsRequest, dict]` The request object. Request to list Cloud Dataflow 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.jobs_v1_beta3.pagers.AggregatedListJobsAsyncPager`	Response to a request to list Cloud Dataflow jobs in a project. This might be a partial response, depending on the page size in the ListJobsRequest. However, if the project does not have any jobs, an instance of ListJobsResponse is not returned and the requests's response body is empty {}. Iterating over this object will yield results and resolve additional pages automatically.

check_active_jobs

check_active_jobs(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.CheckActiveJobsRequest, 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]] = ())

Check for existence of active jobs in the given project across all regions.

from google.cloud import dataflow_v1beta3

def sample_check_active_jobs():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3Client()

    # Initialize request argument(s)
    request = dataflow_v1beta3.CheckActiveJobsRequest(
    )

    # Make the request
    response = client.check_active_jobs(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataflow_v1beta3.types.CheckActiveJobsRequest, dict]` The request object. Request to check is active jobs exists for a project
`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.CheckActiveJobsResponse`	Response for CheckActiveJobsRequest.

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.

create_job

create_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.CreateJobRequest, 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]] = ())

Creates a Cloud Dataflow job.

To create a job, we recommend using projects.locations.jobs.create with a regional endpoint. Using projects.jobs.create is not recommended, as your job will always start in us-central1.

from google.cloud import dataflow_v1beta3

def sample_create_job():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3Client()

    # Initialize request argument(s)
    request = dataflow_v1beta3.CreateJobRequest(
    )

    # Make the request
    response = client.create_job(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataflow_v1beta3.types.CreateJobRequest, dict]` The request object. Request to create a Cloud Dataflow job.
`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.Job`	Defines a job to be run by the Cloud Dataflow service.

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
`JobsV1Beta3AsyncClient`	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
`JobsV1Beta3AsyncClient`	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
`JobsV1Beta3AsyncClient`	The constructed client.

get_job

get_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.GetJobRequest, 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]] = ())

Gets the state of the specified Cloud Dataflow job.

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

from google.cloud import dataflow_v1beta3

def sample_get_job():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3Client()

    # Initialize request argument(s)
    request = dataflow_v1beta3.GetJobRequest(
    )

    # Make the request
    response = client.get_job(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataflow_v1beta3.types.GetJobRequest, dict]` The request object. Request to get the state of a Cloud Dataflow job.
`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.Job`	Defines a job to be run by the Cloud Dataflow service.

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_transport_class

get_transport_class()

Returns an appropriate transport class.

list_jobs

list_jobs(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.ListJobsRequest, 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]] = ())

List the jobs of a project.

To list the jobs of a project in a region, we recommend using projects.locations.jobs.list with a regional endpoint. To list the all jobs across all regions, use projects.jobs.aggregated. Using projects.jobs.list is not recommended, as you can only get the list of jobs that are running in us-central1.

from google.cloud import dataflow_v1beta3

def sample_list_jobs():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3Client()

    # Initialize request argument(s)
    request = dataflow_v1beta3.ListJobsRequest(
    )

    # Make the request
    page_result = client.list_jobs(request=request)

    # Handle the response
    for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataflow_v1beta3.types.ListJobsRequest, dict]` The request object. Request to list Cloud Dataflow 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.jobs_v1_beta3.pagers.ListJobsAsyncPager`	Response to a request to list Cloud Dataflow jobs in a project. This might be a partial response, depending on the page size in the ListJobsRequest. However, if the project does not have any jobs, an instance of ListJobsResponse is not returned and the requests's response body is empty {}. 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.

snapshot_job

snapshot_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.SnapshotJobRequest, 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]] = ())

Snapshot the state of a streaming job.

from google.cloud import dataflow_v1beta3

def sample_snapshot_job():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3Client()

    # Initialize request argument(s)
    request = dataflow_v1beta3.SnapshotJobRequest(
    )

    # Make the request
    response = client.snapshot_job(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataflow_v1beta3.types.SnapshotJobRequest, dict]` The request object. Request to create a snapshot of a job.
`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.Snapshot`	Represents a snapshot of a job.

update_job

update_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.UpdateJobRequest, 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]] = ())

Updates the state of an existing Cloud Dataflow job.

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

from google.cloud import dataflow_v1beta3

def sample_update_job():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3Client()

    # Initialize request argument(s)
    request = dataflow_v1beta3.UpdateJobRequest(
    )

    # Make the request
    response = client.update_job(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataflow_v1beta3.types.UpdateJobRequest, dict]` The request object. Request to update a Cloud Dataflow job.
`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.Job`	Defines a job to be run by the Cloud Dataflow service.