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.

BatchController

class google.cloud.dataproc_v1.services.batch_controller.BatchControllerAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataproc_v1.services.batch_controller.transports.base.BatchControllerTransport, typing.Callable[[...], google.cloud.dataproc_v1.services.batch_controller.transports.base.BatchControllerTransport]]] = '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]

The BatchController provides methods to manage batch workloads.

Instantiates the batch controller 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,BatchControllerTransport,Callable[..., BatchControllerTransport]]]) – 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 BatchControllerTransport 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.

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

static batch_path(project: str, location: str, batch: str) str

Returns a fully-qualified batch string.

async cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = 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]] = ()) None[source]

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
  • request (CancelOperationRequest) – The request object. Request message for CancelOperation method.

  • 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

None

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_batch(request: Optional[Union[google.cloud.dataproc_v1.types.batches.CreateBatchRequest, dict]] = None, *, parent: Optional[str] = None, batch: Optional[google.cloud.dataproc_v1.types.batches.Batch] = None, batch_id: Optional[str] = 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.api_core.operation_async.AsyncOperation[source]

Creates a batch workload that executes asynchronously.

# 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 dataproc_v1

async def sample_create_batch():
    # Create a client
    client = dataproc_v1.BatchControllerAsyncClient()

    # Initialize request argument(s)
    batch = dataproc_v1.Batch()
    batch.pyspark_batch.main_python_file_uri = "main_python_file_uri_value"

    request = dataproc_v1.CreateBatchRequest(
        parent="parent_value",
        batch=batch,
    )

    # Make the request
    operation = client.create_batch(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dataproc_v1.types.CreateBatchRequest, dict]]) – The request object. A request to create a batch workload.

  • parent (str) –

    Required. The parent resource where this batch will be created.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • batch (google.cloud.dataproc_v1.types.Batch) – Required. The batch to create. This corresponds to the batch field on the request instance; if request is provided, this should not be set.

  • batch_id (str) –

    Optional. The ID to use for the batch, which will become the final component of the batch’s resource name.

    This value must be 4-63 characters. Valid characters are /[a-z][0-9]-/.

    This corresponds to the batch_id field on the request instance; if request is provided, this should not be set.

  • 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.Batch A representation of a batch workload in the service.

Return type

google.api_core.operation_async.AsyncOperation

async delete_batch(request: Optional[Union[google.cloud.dataproc_v1.types.batches.DeleteBatchRequest, dict]] = None, *, name: Optional[str] = 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]] = ()) None[source]

Deletes the batch workload resource. If the batch is not in terminal state, the delete fails and the response returns FAILED_PRECONDITION.

# 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 dataproc_v1

async def sample_delete_batch():
    # Create a client
    client = dataproc_v1.BatchControllerAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.DeleteBatchRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_batch(request=request)
Parameters
  • request (Optional[Union[google.cloud.dataproc_v1.types.DeleteBatchRequest, dict]]) – The request object. A request to delete a batch workload.

  • name (str) –

    Required. The fully qualified name of the batch to retrieve in the format “projects/PROJECT_ID/locations/DATAPROC_REGION/batches/BATCH_ID”

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • 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.

async delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = 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]] = ()) None[source]

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
  • request (DeleteOperationRequest) – The request object. Request message for DeleteOperation method.

  • 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

None

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

BatchControllerAsyncClient

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

BatchControllerAsyncClient

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

BatchControllerAsyncClient

async get_batch(request: Optional[Union[google.cloud.dataproc_v1.types.batches.GetBatchRequest, dict]] = None, *, name: Optional[str] = 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.dataproc_v1.types.batches.Batch[source]

Gets the batch workload resource representation.

# 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 dataproc_v1

async def sample_get_batch():
    # Create a client
    client = dataproc_v1.BatchControllerAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.GetBatchRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dataproc_v1.types.GetBatchRequest, dict]]) – The request object. A request to get the resource representation for a batch workload.

  • name (str) –

    Required. The fully qualified name of the batch to retrieve in the format “projects/PROJECT_ID/locations/DATAPROC_REGION/batches/BATCH_ID”

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • 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

A representation of a batch workload in the service.

Return type

google.cloud.dataproc_v1.types.Batch

async get_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = 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.iam.v1.policy_pb2.Policy[source]

Gets the IAM access control policy for a function.

Returns an empty policy if the function exists and does not have a policy set.

Parameters
  • request (GetIamPolicyRequest) – The request object. Request message for GetIamPolicy method.

  • 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 an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type

Policy

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.

async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = 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.longrunning.operations_pb2.Operation[source]

Gets the latest state of a long-running operation.

Parameters
  • request (GetOperationRequest) – The request object. Request message for GetOperation method.

  • 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

An Operation object.

Return type

Operation

classmethod get_transport_class(label: Optional[str] = None) Type[google.cloud.dataproc_v1.services.batch_controller.transports.base.BatchControllerTransport]

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_batches(request: Optional[Union[google.cloud.dataproc_v1.types.batches.ListBatchesRequest, dict]] = None, *, parent: Optional[str] = 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.dataproc_v1.services.batch_controller.pagers.ListBatchesAsyncPager[source]

Lists batch workloads.

# 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 dataproc_v1

async def sample_list_batches():
    # Create a client
    client = dataproc_v1.BatchControllerAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.ListBatchesRequest(
        parent="parent_value",
    )

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
  • request (Optional[Union[google.cloud.dataproc_v1.types.ListBatchesRequest, dict]]) – The request object. A request to list batch workloads in a project.

  • parent (str) –

    Required. The parent, which owns this collection of batches.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • 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

A list of batch workloads.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.dataproc_v1.services.batch_controller.pagers.ListBatchesAsyncPager

async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = 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.longrunning.operations_pb2.ListOperationsResponse[source]

Lists operations that match the specified filter in the request.

Parameters
  • request (ListOperationsRequest) – The request object. Request message for ListOperations method.

  • 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 message for ListOperations method.

Return type

ListOperationsResponse

static parse_batch_path(path: str) Dict[str, str]

Parses a batch path into its component segments.

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.

static parse_service_path(path: str) Dict[str, str]

Parses a service path into its component segments.

static service_path(project: str, location: str, service: str) str

Returns a fully-qualified service string.

async set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = 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.iam.v1.policy_pb2.Policy[source]

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters
  • request (SetIamPolicyRequest) – The request object. Request message for SetIamPolicy method.

  • 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 an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type

Policy

async test_iam_permissions(request: Optional[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest] = 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.iam.v1.iam_policy_pb2.TestIamPermissionsResponse[source]
Tests the specified IAM permissions against the IAM access control

policy for a function.

If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Parameters
  • request (TestIamPermissionsRequest) – The request object. Request message for TestIamPermissions method.

  • 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 message for TestIamPermissions method.

Return type

TestIamPermissionsResponse

property transport: google.cloud.dataproc_v1.services.batch_controller.transports.base.BatchControllerTransport

Returns the transport used by the client instance.

Returns

The transport used by the client instance.

Return type

BatchControllerTransport

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

class google.cloud.dataproc_v1.services.batch_controller.BatchControllerClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataproc_v1.services.batch_controller.transports.base.BatchControllerTransport, typing.Callable[[...], google.cloud.dataproc_v1.services.batch_controller.transports.base.BatchControllerTransport]]] = 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]

The BatchController provides methods to manage batch workloads.

Instantiates the batch controller 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,BatchControllerTransport,Callable[..., BatchControllerTransport]]]) – 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 BatchControllerTransport 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!

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

static batch_path(project: str, location: str, batch: str) str[source]

Returns a fully-qualified batch string.

cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = 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]] = ()) None[source]

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
  • request (CancelOperationRequest) – The request object. Request message for CancelOperation method.

  • 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

None

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_batch(request: Optional[Union[google.cloud.dataproc_v1.types.batches.CreateBatchRequest, dict]] = None, *, parent: Optional[str] = None, batch: Optional[google.cloud.dataproc_v1.types.batches.Batch] = None, batch_id: Optional[str] = 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.api_core.operation.Operation[source]

Creates a batch workload that executes asynchronously.

# 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 dataproc_v1

def sample_create_batch():
    # Create a client
    client = dataproc_v1.BatchControllerClient()

    # Initialize request argument(s)
    batch = dataproc_v1.Batch()
    batch.pyspark_batch.main_python_file_uri = "main_python_file_uri_value"

    request = dataproc_v1.CreateBatchRequest(
        parent="parent_value",
        batch=batch,
    )

    # Make the request
    operation = client.create_batch(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
  • request (Union[google.cloud.dataproc_v1.types.CreateBatchRequest, dict]) – The request object. A request to create a batch workload.

  • parent (str) –

    Required. The parent resource where this batch will be created.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • batch (google.cloud.dataproc_v1.types.Batch) – Required. The batch to create. This corresponds to the batch field on the request instance; if request is provided, this should not be set.

  • batch_id (str) –

    Optional. The ID to use for the batch, which will become the final component of the batch’s resource name.

    This value must be 4-63 characters. Valid characters are /[a-z][0-9]-/.

    This corresponds to the batch_id field on the request instance; if request is provided, this should not be set.

  • 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.Batch A representation of a batch workload in the service.

Return type

google.api_core.operation.Operation

delete_batch(request: Optional[Union[google.cloud.dataproc_v1.types.batches.DeleteBatchRequest, dict]] = None, *, name: Optional[str] = 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]] = ()) None[source]

Deletes the batch workload resource. If the batch is not in terminal state, the delete fails and the response returns FAILED_PRECONDITION.

# 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 dataproc_v1

def sample_delete_batch():
    # Create a client
    client = dataproc_v1.BatchControllerClient()

    # Initialize request argument(s)
    request = dataproc_v1.DeleteBatchRequest(
        name="name_value",
    )

    # Make the request
    client.delete_batch(request=request)
Parameters
  • request (Union[google.cloud.dataproc_v1.types.DeleteBatchRequest, dict]) – The request object. A request to delete a batch workload.

  • name (str) –

    Required. The fully qualified name of the batch to retrieve in the format “projects/PROJECT_ID/locations/DATAPROC_REGION/batches/BATCH_ID”

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • 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.

delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = 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]] = ()) None[source]

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
  • request (DeleteOperationRequest) – The request object. Request message for DeleteOperation method.

  • 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

None

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

BatchControllerClient

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

BatchControllerClient

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

BatchControllerClient

get_batch(request: Optional[Union[google.cloud.dataproc_v1.types.batches.GetBatchRequest, dict]] = None, *, name: Optional[str] = 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.dataproc_v1.types.batches.Batch[source]

Gets the batch workload resource representation.

# 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 dataproc_v1

def sample_get_batch():
    # Create a client
    client = dataproc_v1.BatchControllerClient()

    # Initialize request argument(s)
    request = dataproc_v1.GetBatchRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Union[google.cloud.dataproc_v1.types.GetBatchRequest, dict]) – The request object. A request to get the resource representation for a batch workload.

  • name (str) –

    Required. The fully qualified name of the batch to retrieve in the format “projects/PROJECT_ID/locations/DATAPROC_REGION/batches/BATCH_ID”

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • 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

A representation of a batch workload in the service.

Return type

google.cloud.dataproc_v1.types.Batch

get_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = 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.iam.v1.policy_pb2.Policy[source]

Gets the IAM access control policy for a function.

Returns an empty policy if the function exists and does not have a policy set.

Parameters
  • request (GetIamPolicyRequest) – The request object. Request message for GetIamPolicy method.

  • 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 an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type

Policy

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.

get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = 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.longrunning.operations_pb2.Operation[source]

Gets the latest state of a long-running operation.

Parameters
  • request (GetOperationRequest) – The request object. Request message for GetOperation method.

  • 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

An Operation object.

Return type

Operation

list_batches(request: Optional[Union[google.cloud.dataproc_v1.types.batches.ListBatchesRequest, dict]] = None, *, parent: Optional[str] = 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.dataproc_v1.services.batch_controller.pagers.ListBatchesPager[source]

Lists batch workloads.

# 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 dataproc_v1

def sample_list_batches():
    # Create a client
    client = dataproc_v1.BatchControllerClient()

    # Initialize request argument(s)
    request = dataproc_v1.ListBatchesRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
  • request (Union[google.cloud.dataproc_v1.types.ListBatchesRequest, dict]) – The request object. A request to list batch workloads in a project.

  • parent (str) –

    Required. The parent, which owns this collection of batches.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • 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

A list of batch workloads.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.dataproc_v1.services.batch_controller.pagers.ListBatchesPager

list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = 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.longrunning.operations_pb2.ListOperationsResponse[source]

Lists operations that match the specified filter in the request.

Parameters
  • request (ListOperationsRequest) – The request object. Request message for ListOperations method.

  • 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 message for ListOperations method.

Return type

ListOperationsResponse

static parse_batch_path(path: str) Dict[str, str][source]

Parses a batch path into its component segments.

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.

static parse_service_path(path: str) Dict[str, str][source]

Parses a service path into its component segments.

static service_path(project: str, location: str, service: str) str[source]

Returns a fully-qualified service string.

set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = 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.iam.v1.policy_pb2.Policy[source]

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters
  • request (SetIamPolicyRequest) – The request object. Request message for SetIamPolicy method.

  • 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 an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type

Policy

test_iam_permissions(request: Optional[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest] = 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.iam.v1.iam_policy_pb2.TestIamPermissionsResponse[source]
Tests the specified IAM permissions against the IAM access control

policy for a function.

If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Parameters
  • request (TestIamPermissionsRequest) – The request object. Request message for TestIamPermissions method.

  • 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 message for TestIamPermissions method.

Return type

TestIamPermissionsResponse

property transport: google.cloud.dataproc_v1.services.batch_controller.transports.base.BatchControllerTransport

Returns the transport used by the client instance.

Returns

The transport used by the client

instance.

Return type

BatchControllerTransport

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

class google.cloud.dataproc_v1.services.batch_controller.pagers.ListBatchesAsyncPager(method: Callable[[...], Awaitable[google.cloud.dataproc_v1.types.batches.ListBatchesResponse]], request: google.cloud.dataproc_v1.types.batches.ListBatchesRequest, response: google.cloud.dataproc_v1.types.batches.ListBatchesResponse, *, 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_batches requests.

This class thinly wraps an initial google.cloud.dataproc_v1.types.ListBatchesResponse object, and provides an __aiter__ method to iterate through its batches field.

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

All the usual google.cloud.dataproc_v1.types.ListBatchesResponse 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
class google.cloud.dataproc_v1.services.batch_controller.pagers.ListBatchesPager(method: Callable[[...], google.cloud.dataproc_v1.types.batches.ListBatchesResponse], request: google.cloud.dataproc_v1.types.batches.ListBatchesRequest, response: google.cloud.dataproc_v1.types.batches.ListBatchesResponse, *, 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_batches requests.

This class thinly wraps an initial google.cloud.dataproc_v1.types.ListBatchesResponse object, and provides an __iter__ method to iterate through its batches field.

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

All the usual google.cloud.dataproc_v1.types.ListBatchesResponse 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