Class DataFusionAsyncClient (1.4.1)

DataFusionAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.data_fusion_v1.services.data_fusion.transports.base.DataFusionTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service for creating and managing Data Fusion instances. Data Fusion enables ETL developers to build code-free, data integration pipelines via a point-and-click UI.

Inheritance

builtins.object > DataFusionAsyncClient

Properties

transport

Returns the transport used by the client instance.

Returns

Type	Description
DataFusionTransport	The transport used by the client instance.

Methods

DataFusionAsyncClient

DataFusionAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.data_fusion_v1.services.data_fusion.transports.base.DataFusionTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the data fusion client.

Parameters

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

Exceptions

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

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_instance

create_instance(request: Optional[Union[google.cloud.data_fusion_v1.types.datafusion.CreateInstanceRequest, dict]] = None, *, parent: Optional[str] = None, instance: Optional[google.cloud.data_fusion_v1.types.datafusion.Instance] = None, instance_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a new Data Fusion instance in the specified project and location.

from google.cloud import data_fusion_v1

def sample_create_instance():
    # Create a client
    client = data_fusion_v1.DataFusionClient()

    # Initialize request argument(s)
    request = data_fusion_v1.CreateInstanceRequest(
        parent="parent_value",
        instance_id="instance_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.data_fusion_v1.types.CreateInstanceRequest, dict]` The request object. Request message for creating a Data Fusion instance.
parent	`str` Required. The instance's project and location in the format projects/{project}/locations/{location}. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
instance	`Instance` An instance resource. This corresponds to the `instance` field on the `request` instance; if `request` is provided, this should not be set.
instance_id	`str` Required. The name of the instance to create. This corresponds to the `instance_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

Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Instance Represents a Data Fusion instance.

crypto_key_path

crypto_key_path(project: str, location: str, key_ring: str, crypto_key: str)

Returns a fully-qualified crypto_key string.

delete_instance

delete_instance(request: Optional[Union[google.cloud.data_fusion_v1.types.datafusion.DeleteInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a single Date Fusion instance.

from google.cloud import data_fusion_v1

def sample_delete_instance():
    # Create a client
    client = data_fusion_v1.DataFusionClient()

    # Initialize request argument(s)
    request = data_fusion_v1.DeleteInstanceRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.data_fusion_v1.types.DeleteInstanceRequest, dict]` The request object. Request message for deleting a Data Fusion instance.
name	`str` Required. The instance resource name in the format projects/{project}/locations/{location}/instances/{instance} 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

Type

Description

google.api_core.operation_async.AsyncOperation

An object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

from_service_account_file

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

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

Parameter

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

Returns

Type	Description
DataFusionAsyncClient	The constructed client.

from_service_account_info

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

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

Parameter

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

Returns

Type	Description
DataFusionAsyncClient	The constructed client.

from_service_account_json

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

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

Parameter

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

Returns

Type	Description
DataFusionAsyncClient	The constructed client.

get_instance

get_instance(request: Optional[Union[google.cloud.data_fusion_v1.types.datafusion.GetInstanceRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets details of a single Data Fusion instance.

from google.cloud import data_fusion_v1

def sample_get_instance():
    # Create a client
    client = data_fusion_v1.DataFusionClient()

    # Initialize request argument(s)
    request = data_fusion_v1.GetInstanceRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.data_fusion_v1.types.GetInstanceRequest, dict]` The request object. Request message for getting details about a Data Fusion instance.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.data_fusion_v1.types.Instance	Represents a Data Fusion instance.

get_mtls_endpoint_and_cert_source

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

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

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

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

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

Parameter

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

Exceptions

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

Returns

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

get_transport_class

get_transport_class()

Returns an appropriate transport class.

instance_path

instance_path(project: str, location: str, instance: str)

Returns a fully-qualified instance string.

list_available_versions

list_available_versions(request: Optional[Union[google.cloud.data_fusion_v1.types.datafusion.ListAvailableVersionsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists possible versions for Data Fusion instances in the specified project and location.

from google.cloud import data_fusion_v1

def sample_list_available_versions():
    # Create a client
    client = data_fusion_v1.DataFusionClient()

    # Initialize request argument(s)
    request = data_fusion_v1.ListAvailableVersionsRequest(
        parent="parent_value",
    )

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

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

Parameters

Name	Description
request	`Union[google.cloud.data_fusion_v1.types.ListAvailableVersionsRequest, dict]` The request object. Request message for the list available versions request.
parent	`str` Required. The project and location for which to retrieve instance information in the format projects/{project}/locations/{location}. 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

Type	Description
google.cloud.data_fusion_v1.services.data_fusion.pagers.ListAvailableVersionsAsyncPager	Response message for the list available versions request. Iterating over this object will yield results and resolve additional pages automatically.

list_instances

list_instances(request: Optional[Union[google.cloud.data_fusion_v1.types.datafusion.ListInstancesRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists Data Fusion instances in the specified project and location.

from google.cloud import data_fusion_v1

def sample_list_instances():
    # Create a client
    client = data_fusion_v1.DataFusionClient()

    # Initialize request argument(s)
    request = data_fusion_v1.ListInstancesRequest(
        parent="parent_value",
    )

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

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

Parameters

Name	Description
request	`Union[google.cloud.data_fusion_v1.types.ListInstancesRequest, dict]` The request object. Request message for listing Data Fusion instances.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.data_fusion_v1.services.data_fusion.pagers.ListInstancesAsyncPager	Response message for the list instance request. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_crypto_key_path

parse_crypto_key_path(path: str)

Parses a crypto_key path into its component segments.

parse_instance_path

parse_instance_path(path: str)

Parses a instance path into its component segments.

restart_instance

restart_instance(request: Optional[Union[google.cloud.data_fusion_v1.types.datafusion.RestartInstanceRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Restart a single Data Fusion instance. At the end of an operation instance is fully restarted.

from google.cloud import data_fusion_v1

def sample_restart_instance():
    # Create a client
    client = data_fusion_v1.DataFusionClient()

    # Initialize request argument(s)
    request = data_fusion_v1.RestartInstanceRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.data_fusion_v1.types.RestartInstanceRequest, dict]` The request object. Request message for restarting a Data Fusion instance.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Instance Represents a Data Fusion instance.

update_instance

update_instance(request: Optional[Union[google.cloud.data_fusion_v1.types.datafusion.UpdateInstanceRequest, dict]] = None, *, instance: Optional[google.cloud.data_fusion_v1.types.datafusion.Instance] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates a single Data Fusion instance.

from google.cloud import data_fusion_v1

def sample_update_instance():
    # Create a client
    client = data_fusion_v1.DataFusionClient()

    # Initialize request argument(s)
    instance = data_fusion_v1.Instance()
    instance.type_ = "DEVELOPER"

    request = data_fusion_v1.UpdateInstanceRequest(
        instance=instance,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.data_fusion_v1.types.UpdateInstanceRequest, dict]` The request object. Request message for updating a Data Fusion instance. Data Fusion allows updating the labels, options, and stack driver settings. This is also used for CDF version upgrade.
instance	`Instance` Required. The instance resource that replaces the resource on the server. Currently, Data Fusion only allows replacing labels, options, and stack driver settings. All other fields will be ignored. This corresponds to the `instance` field on the `request` instance; if `request` is provided, this should not be set.
update_mask	`google.protobuf.field_mask_pb2.FieldMask` Field mask is used to specify the fields that the update will overwrite in an instance resource. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask, all the supported fields (labels, options, and version currently) will be overwritten. This corresponds to the `update_mask` 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

Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Instance Represents a Data Fusion instance.