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.
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,
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 |
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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Creates a new Data Fusion instance in the specified project and location.
# 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 data_fusion_v1
async def sample_create_instance():
# Create a client
client = data_fusion_v1.DataFusionAsyncClient()
# 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 = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.data_fusion_v1.types.CreateInstanceRequest, dict]]
The request object. Request message for creating a Data Fusion instance. |
parent |
Required. The instance's project and location in the format projects/{project}/locations/{location}. This corresponds to the |
instance |
Instance
An instance resource. This corresponds to the |
instance_id |
Required. The name of the instance to create. This corresponds to the |
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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Deletes a single Date Fusion instance.
# 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 data_fusion_v1
async def sample_delete_instance():
# Create a client
client = data_fusion_v1.DataFusionAsyncClient()
# 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 = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.data_fusion_v1.types.DeleteInstanceRequest, dict]]
The request object. Request message for deleting a Data Fusion instance. |
name |
Required. The instance resource name in the format projects/{project}/locations/{location}/instances/{instance} This corresponds to the |
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); } |
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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Gets details of a single Data Fusion instance.
# 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 data_fusion_v1
async def sample_get_instance():
# Create a client
client = data_fusion_v1.DataFusionAsyncClient()
# Initialize request argument(s)
request = data_fusion_v1.GetInstanceRequest(
name="name_value",
)
# Make the request
response = await client.get_instance(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[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 |
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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Lists possible versions for Data Fusion instances in the specified project and location.
# 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 data_fusion_v1
async def sample_list_available_versions():
# Create a client
client = data_fusion_v1.DataFusionAsyncClient()
# 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
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.data_fusion_v1.types.ListAvailableVersionsRequest, dict]]
The request object. Request message for the list available versions request. |
parent |
Required. The project and location for which to retrieve instance information in the format projects/{project}/locations/{location}. This corresponds to the |
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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Lists Data Fusion instances in the specified project and location.
# 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 data_fusion_v1
async def sample_list_instances():
# Create a client
client = data_fusion_v1.DataFusionAsyncClient()
# 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
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Restart a single Data Fusion instance. At the end of an operation instance is fully restarted.
# 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 data_fusion_v1
async def sample_restart_instance():
# Create a client
client = data_fusion_v1.DataFusionAsyncClient()
# 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 = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
Updates a single Data Fusion instance.
# 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 data_fusion_v1
async def sample_update_instance():
# Create a client
client = data_fusion_v1.DataFusionAsyncClient()
# 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 = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[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 |
update_mask |
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 |
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. |