As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

JobsV1Beta3¶

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

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.

Instantiates the jobs v1 beta3 async client.

Parameters

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 (Optional[Union[str,JobsV1Beta3Transport,Callable[..., JobsV1Beta3Transport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the JobsV1Beta3Transport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “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).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS 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.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
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.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

async aggregated_list_jobs(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.ListJobsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.AggregatedListJobsAsyncPager[source]¶

List the jobs of a project across all regions.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataflow_v1beta3

async def sample_aggregated_list_jobs():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3AsyncClient()

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

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

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

Parameters

request (Optional[Union[google.cloud.dataflow_v1beta3.types.ListJobsRequest, dict]]) – The request object. Request to list Cloud Dataflow jobs.
retry (google.api_core.retry_async.AsyncRetry) – 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

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.

Return type

google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.AggregatedListJobsAsyncPager

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

async check_active_jobs(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.CheckActiveJobsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.types.jobs.CheckActiveJobsResponse[source]¶

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

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataflow_v1beta3

async def sample_check_active_jobs():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3AsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[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_async.AsyncRetry) – 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

Response for CheckActiveJobsRequest.

Return type

google.cloud.dataflow_v1beta3.types.CheckActiveJobsResponse

static common_billing_account_path(billing_account: str) → str¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str¶: Returns a fully-qualified project string.

async create_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.CreateJobRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.types.jobs.Job[source]¶

Creates a Cloud Dataflow job.

To create a job, we recommend using projects.locations.jobs.create with a [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints). Using projects.jobs.create is not recommended, as your job will always start in us-central1.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataflow_v1beta3

async def sample_create_job():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3AsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dataflow_v1beta3.types.CreateJobRequest, dict]]) – The request object. Request to create a Cloud Dataflow job.
retry (google.api_core.retry_async.AsyncRetry) – 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

Defines a job to be run by the Cloud Dataflow service.

Return type

google.cloud.dataflow_v1beta3.types.Job

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

JobsV1Beta3AsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

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

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

JobsV1Beta3AsyncClient

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

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

JobsV1Beta3AsyncClient

async get_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.GetJobRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.types.jobs.Job[source]¶

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] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints). Using projects.jobs.get is not recommended, as you can only get the state of jobs that are running in us-central1.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataflow_v1beta3

async def sample_get_job():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3AsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[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_async.AsyncRetry) – 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

Defines a job to be run by the Cloud Dataflow service.

Return type

google.cloud.dataflow_v1beta3.types.Job

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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 variable 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.

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.transports.base.JobsV1Beta3Transport]¶

Returns an appropriate transport class.

Parameters: label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
Returns: The transport class to use.

async list_jobs(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.ListJobsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.ListJobsAsyncPager[source]¶

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] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints). 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.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataflow_v1beta3

async def sample_list_jobs():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3AsyncClient()

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

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

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

Parameters

request (Optional[Union[google.cloud.dataflow_v1beta3.types.ListJobsRequest, dict]]) – The request object. Request to list Cloud Dataflow jobs.
retry (google.api_core.retry_async.AsyncRetry) – 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

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.

Return type

google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.ListJobsAsyncPager

static parse_common_billing_account_path(path: str) → Dict[str, str]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]¶: Parse a project path into its component segments.

async snapshot_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.SnapshotJobRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.types.snapshots.Snapshot[source]¶

Snapshot the state of a streaming job.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataflow_v1beta3

async def sample_snapshot_job():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3AsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dataflow_v1beta3.types.SnapshotJobRequest, dict]]) – The request object. Request to create a snapshot of a job.
retry (google.api_core.retry_async.AsyncRetry) – 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

Represents a snapshot of a job.

Return type

google.cloud.dataflow_v1beta3.types.Snapshot

property transport: google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.transports.base.JobsV1Beta3Transport¶

Returns the transport used by the client instance.

Returns: The transport used by the client instance.
Return type: JobsV1Beta3Transport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns

The universe domain used: by the client instance.

Return type

str

async update_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.UpdateJobRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.types.jobs.Job[source]¶

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] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints). Using projects.jobs.update is not recommended, as you can only update the state of jobs that are running in us-central1.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataflow_v1beta3

async def sample_update_job():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3AsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dataflow_v1beta3.types.UpdateJobRequest, dict]]) – The request object. Request to update a Cloud Dataflow job.
retry (google.api_core.retry_async.AsyncRetry) – 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

Defines a job to be run by the Cloud Dataflow service.

Return type

google.cloud.dataflow_v1beta3.types.Job

class google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.JobsV1Beta3Client(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.transports.base.JobsV1Beta3Transport, typing.Callable[[...], google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.transports.base.JobsV1Beta3Transport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

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.

Instantiates the jobs v1 beta3 client.

Parameters

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 (Optional[Union[str,JobsV1Beta3Transport,Callable[..., JobsV1Beta3Transport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the JobsV1Beta3Transport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “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).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS 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.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
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.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]¶: Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

aggregated_list_jobs(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.ListJobsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.AggregatedListJobsPager[source]¶

List the jobs of a project across all regions.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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

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

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.

Return type

google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.AggregatedListJobsPager

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

check_active_jobs(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.CheckActiveJobsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.types.jobs.CheckActiveJobsResponse[source]¶

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

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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

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

Response for CheckActiveJobsRequest.

Return type

google.cloud.dataflow_v1beta3.types.CheckActiveJobsResponse

static common_billing_account_path(billing_account: str) → str[source]¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]¶: Returns a fully-qualified project string.

create_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.CreateJobRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.types.jobs.Job[source]¶

Creates a Cloud Dataflow job.

To create a job, we recommend using projects.locations.jobs.create with a [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints). Using projects.jobs.create is not recommended, as your job will always start in us-central1.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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

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

Defines a job to be run by the Cloud Dataflow service.

Return type

google.cloud.dataflow_v1beta3.types.Job

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

JobsV1Beta3Client

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

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

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

JobsV1Beta3Client

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

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

JobsV1Beta3Client

get_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.GetJobRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.types.jobs.Job[source]¶

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] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints). Using projects.jobs.get is not recommended, as you can only get the state of jobs that are running in us-central1.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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

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

Defines a job to be run by the Cloud Dataflow service.

Return type

google.cloud.dataflow_v1beta3.types.Job

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

Deprecated. 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 variable 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.

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

list_jobs(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.ListJobsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.ListJobsPager[source]¶

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] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints). 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.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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

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

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.

Return type

google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.ListJobsPager

static parse_common_billing_account_path(path: str) → Dict[str, str][source]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]¶: Parse a project path into its component segments.

snapshot_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.SnapshotJobRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.types.snapshots.Snapshot[source]¶

Snapshot the state of a streaming job.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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

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

Represents a snapshot of a job.

Return type

google.cloud.dataflow_v1beta3.types.Snapshot

property transport: google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.transports.base.JobsV1Beta3Transport¶

Returns the transport used by the client instance.

Returns

The transport used by the client: instance.

Return type

JobsV1Beta3Transport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns: The universe domain used by the client instance.
Return type: str

update_job(request: Optional[Union[google.cloud.dataflow_v1beta3.types.jobs.UpdateJobRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataflow_v1beta3.types.jobs.Job[source]¶

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] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints). Using projects.jobs.update is not recommended, as you can only update the state of jobs that are running in us-central1.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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

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

Defines a job to be run by the Cloud Dataflow service.

Return type

google.cloud.dataflow_v1beta3.types.Job

class google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.AggregatedListJobsAsyncPager(method: Callable[[...], Awaitable[google.cloud.dataflow_v1beta3.types.jobs.ListJobsResponse]], request: google.cloud.dataflow_v1beta3.types.jobs.ListJobsRequest, response: google.cloud.dataflow_v1beta3.types.jobs.ListJobsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through aggregated_list_jobs requests.

This class thinly wraps an initial google.cloud.dataflow_v1beta3.types.ListJobsResponse object, and provides an __aiter__ method to iterate through its jobs field.

If there are more pages, the __aiter__ method will make additional AggregatedListJobs requests and continue to iterate through the jobs field on the corresponding responses.

All the usual google.cloud.dataflow_v1beta3.types.ListJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dataflow_v1beta3.types.ListJobsRequest) – The initial request object.
response (google.cloud.dataflow_v1beta3.types.ListJobsResponse) – The initial response object.
retry (google.api_core.retry.AsyncRetry) – 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.

class google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.AggregatedListJobsPager(method: Callable[[...], google.cloud.dataflow_v1beta3.types.jobs.ListJobsResponse], request: google.cloud.dataflow_v1beta3.types.jobs.ListJobsRequest, response: google.cloud.dataflow_v1beta3.types.jobs.ListJobsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through aggregated_list_jobs requests.

This class thinly wraps an initial google.cloud.dataflow_v1beta3.types.ListJobsResponse object, and provides an __iter__ method to iterate through its jobs field.

If there are more pages, the __iter__ method will make additional AggregatedListJobs requests and continue to iterate through the jobs field on the corresponding responses.

All the usual google.cloud.dataflow_v1beta3.types.ListJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dataflow_v1beta3.types.ListJobsRequest) – The initial request object.
response (google.cloud.dataflow_v1beta3.types.ListJobsResponse) – The initial response object.
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.

class google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.ListJobsAsyncPager(method: Callable[[...], Awaitable[google.cloud.dataflow_v1beta3.types.jobs.ListJobsResponse]], request: google.cloud.dataflow_v1beta3.types.jobs.ListJobsRequest, response: google.cloud.dataflow_v1beta3.types.jobs.ListJobsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_jobs requests.

This class thinly wraps an initial google.cloud.dataflow_v1beta3.types.ListJobsResponse object, and provides an __aiter__ method to iterate through its jobs field.

If there are more pages, the __aiter__ method will make additional ListJobs requests and continue to iterate through the jobs field on the corresponding responses.

All the usual google.cloud.dataflow_v1beta3.types.ListJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dataflow_v1beta3.types.ListJobsRequest) – The initial request object.
response (google.cloud.dataflow_v1beta3.types.ListJobsResponse) – The initial response object.
retry (google.api_core.retry.AsyncRetry) – 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.

class google.cloud.dataflow_v1beta3.services.jobs_v1_beta3.pagers.ListJobsPager(method: Callable[[...], google.cloud.dataflow_v1beta3.types.jobs.ListJobsResponse], request: google.cloud.dataflow_v1beta3.types.jobs.ListJobsRequest, response: google.cloud.dataflow_v1beta3.types.jobs.ListJobsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_jobs requests.

This class thinly wraps an initial google.cloud.dataflow_v1beta3.types.ListJobsResponse object, and provides an __iter__ method to iterate through its jobs field.

If there are more pages, the __iter__ method will make additional ListJobs requests and continue to iterate through the jobs field on the corresponding responses.

All the usual google.cloud.dataflow_v1beta3.types.ListJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dataflow_v1beta3.types.ListJobsRequest) – The initial request object.
response (google.cloud.dataflow_v1beta3.types.ListJobsResponse) – The initial response object.
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.

JobsV1Beta3¶

google-cloud-dataflow-client

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