Class DataScanServiceAsyncClient (2.4.0)

DataScanServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataplex_v1.services.data_scan_service.transports.base.DataScanServiceTransport, typing.Callable[[...], google.cloud.dataplex_v1.services.data_scan_service.transports.base.DataScanServiceTransport]]] = '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>)

DataScanService manages DataScan resources which can be configured to run various types of data scanning workload and generate enriched metadata (e.g. Data Profile, Data Quality) for the data source.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type Description
str The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type Description
DataScanServiceTransport The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type Description
str The universe domain used by the client instance.

Methods

DataScanServiceAsyncClient

DataScanServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataplex_v1.services.data_scan_service.transports.base.DataScanServiceTransport, typing.Callable[[...], google.cloud.dataplex_v1.services.data_scan_service.transports.base.DataScanServiceTransport]]] = '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>)

Instantiates the data scan service async 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 Optional[Union[str,DataScanServiceTransport,Callable[..., DataScanServiceTransport]]]

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 DataScanServiceTransport 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.

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

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

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
Name Description
request .operations_pb2.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.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

connection_path

connection_path(project: str, location: str, connection: str) -> str

Returns a fully-qualified connection string.

create_data_scan

create_data_scan(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.datascans.CreateDataScanRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    data_scan: typing.Optional[
        google.cloud.dataplex_v1.types.datascans.DataScan
    ] = None,
    data_scan_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a DataScan resource.

# 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 dataplex_v1

async def sample_create_data_scan():
    # Create a client
    client = dataplex_v1.DataScanServiceAsyncClient()

    # Initialize request argument(s)
    data_scan = dataplex_v1.DataScan()
    data_scan.data_quality_spec.rules.dimension = "dimension_value"
    data_scan.data.entity = "entity_value"

    request = dataplex_v1.CreateDataScanRequest(
        parent="parent_value",
        data_scan=data_scan,
        data_scan_id="data_scan_id_value",
    )

    # Make the request
    operation = client.create_data_scan(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.dataplex_v1.types.CreateDataScanRequest, dict]]

The request object. Create dataScan request.

parent str

Required. The resource name of the parent location: projects/{project}/locations/{location_id} where project refers to a project_id or project_number and location_id refers to a GCP region. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

data_scan DataScan

Required. DataScan resource. This corresponds to the data_scan field on the request instance; if request is provided, this should not be set.

data_scan_id str

Required. DataScan identifier. - Must contain only lowercase letters, numbers and hyphens. - Must start with a letter. - Must end with a number or a letter. - Must be between 1-63 characters. - Must be unique within the customer project / location. This corresponds to the data_scan_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
Type Description
google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be DataScan Represents a user-visible job which provides the insights for the related data source. For example: - Data Quality: generates queries based on the rules and runs against the data to get data quality check results. - Data Profile: analyzes the data in table(s) and generates insights about the structure, content and relationships (such as null percent, cardinality, min/max/mean, etc).

data_scan_job_path

data_scan_job_path(project: str, location: str, dataScan: str, job: str) -> str

Returns a fully-qualified data_scan_job string.

data_scan_path

data_scan_path(project: str, location: str, dataScan: str) -> str

Returns a fully-qualified data_scan string.

dataset_path

dataset_path(project: str, dataset: str) -> str

Returns a fully-qualified dataset string.

delete_data_scan

delete_data_scan(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.datascans.DeleteDataScanRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a DataScan resource.

# 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 dataplex_v1

async def sample_delete_data_scan():
    # Create a client
    client = dataplex_v1.DataScanServiceAsyncClient()

    # Initialize request argument(s)
    request = dataplex_v1.DeleteDataScanRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_data_scan(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.dataplex_v1.types.DeleteDataScanRequest, dict]]

The request object. Delete dataScan request.

name str

Required. The resource name of the dataScan: projects/{project}/locations/{location_id}/dataScans/{data_scan_id} where project refers to a project_id or project_number and location_id refers to a GCP region. 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
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); }

delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

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
Name Description
request .operations_pb2.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.

entity_path

entity_path(project: str, location: str, lake: str, zone: str, entity: str) -> str

Returns a fully-qualified entity string.

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
DataScanServiceAsyncClient 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
DataScanServiceAsyncClient 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
DataScanServiceAsyncClient The constructed client.

generate_data_quality_rules

generate_data_quality_rules(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.datascans.GenerateDataQualityRulesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.datascans.GenerateDataQualityRulesResponse

Generates recommended data quality rules based on the results of a data profiling scan.

Use the recommendations to build rules for a data quality scan.

# 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 dataplex_v1

async def sample_generate_data_quality_rules():
    # Create a client
    client = dataplex_v1.DataScanServiceAsyncClient()

    # Initialize request argument(s)
    request = dataplex_v1.GenerateDataQualityRulesRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.dataplex_v1.types.GenerateDataQualityRulesRequest, dict]]

The request object. Request details for generating data quality rule recommendations.

name str

Required. The name must be one of the following: - The name of a data scan with at least one successful, completed data profiling job - The name of a successful, completed data profiling job (a data scan job where the job type is data profiling) 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
Type Description
google.cloud.dataplex_v1.types.GenerateDataQualityRulesResponse Response details for data quality rule recommendations.

get_data_scan

get_data_scan(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.datascans.GetDataScanRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.datascans.DataScan

Gets a DataScan resource.

# 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 dataplex_v1

async def sample_get_data_scan():
    # Create a client
    client = dataplex_v1.DataScanServiceAsyncClient()

    # Initialize request argument(s)
    request = dataplex_v1.GetDataScanRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.dataplex_v1.types.GetDataScanRequest, dict]]

The request object. Get dataScan request.

name str

Required. The resource name of the dataScan: projects/{project}/locations/{location_id}/dataScans/{data_scan_id} where project refers to a project_id or project_number and location_id refers to a GCP region. 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
Type Description
google.cloud.dataplex_v1.types.DataScan Represents a user-visible job which provides the insights for the related data source. For example: - Data Quality: generates queries based on the rules and runs against the data to get data quality check results. - Data Profile: analyzes the data in table(s) and generates insights about the structure, content and relationships (such as null percent, cardinality, min/max/mean, etc).

get_data_scan_job

get_data_scan_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.datascans.GetDataScanJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.datascans.DataScanJob

Gets a DataScanJob resource.

# 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 dataplex_v1

async def sample_get_data_scan_job():
    # Create a client
    client = dataplex_v1.DataScanServiceAsyncClient()

    # Initialize request argument(s)
    request = dataplex_v1.GetDataScanJobRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.dataplex_v1.types.GetDataScanJobRequest, dict]]

The request object. Get DataScanJob request.

name str

Required. The resource name of the DataScanJob: projects/{project}/locations/{location_id}/dataScans/{data_scan_id}/jobs/{data_scan_job_id} where project refers to a project_id or project_number and location_id refers to a GCP region. 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
Type Description
google.cloud.dataplex_v1.types.DataScanJob A DataScanJob represents an instance of DataScan execution.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
Name Description
request .location_pb2.GetLocationRequest

The request object. Request message for GetLocation 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
Type Description
.location_pb2.Location Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.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 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.

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_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name Description
request .operations_pb2.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
Type Description
.operations_pb2.Operation An Operation object.

get_transport_class

get_transport_class(
    label: typing.Optional[str] = None,
) -> typing.Type[
    google.cloud.dataplex_v1.services.data_scan_service.transports.base.DataScanServiceTransport
]

Returns an appropriate transport class.

Parameter
Name Description
label typing.Optional[str]

The name of the desired transport. If none is provided, then the first transport in the registry is used.

list_data_scan_jobs

list_data_scan_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.datascans.ListDataScanJobsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScanJobsAsyncPager
)

Lists DataScanJobs under the given DataScan.

# 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 dataplex_v1

async def sample_list_data_scan_jobs():
    # Create a client
    client = dataplex_v1.DataScanServiceAsyncClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListDataScanJobsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[Union[google.cloud.dataplex_v1.types.ListDataScanJobsRequest, dict]]

The request object. List DataScanJobs request.

parent str

Required. The resource name of the parent environment: projects/{project}/locations/{location_id}/dataScans/{data_scan_id} where project refers to a project_id or project_number and location_id refers to a GCP region. 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
Type Description
google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScanJobsAsyncPager List DataScanJobs response. Iterating over this object will yield results and resolve additional pages automatically.

list_data_scans

list_data_scans(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.datascans.ListDataScansRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScansAsyncPager

Lists DataScans.

# 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 dataplex_v1

async def sample_list_data_scans():
    # Create a client
    client = dataplex_v1.DataScanServiceAsyncClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListDataScansRequest(
        parent="parent_value",
    )

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[Union[google.cloud.dataplex_v1.types.ListDataScansRequest, dict]]

The request object. List dataScans request.

parent str

Required. The resource name of the parent location: projects/{project}/locations/{location_id} where project refers to a project_id or project_number and location_id refers to a GCP region. 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
Type Description
google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScansAsyncPager List dataScans response. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name Description
request .location_pb2.ListLocationsRequest

The request object. Request message for ListLocations 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
Type Description
.location_pb2.ListLocationsResponse Response message for ListLocations method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name Description
request .operations_pb2.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
Type Description
.operations_pb2.ListOperationsResponse Response message for ListOperations method.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_connection_path

parse_connection_path(path: str) -> typing.Dict[str, str]

Parses a connection path into its component segments.

parse_data_scan_job_path

parse_data_scan_job_path(path: str) -> typing.Dict[str, str]

Parses a data_scan_job path into its component segments.

parse_data_scan_path

parse_data_scan_path(path: str) -> typing.Dict[str, str]

Parses a data_scan path into its component segments.

parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

parse_entity_path

parse_entity_path(path: str) -> typing.Dict[str, str]

Parses a entity path into its component segments.

run_data_scan

run_data_scan(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.datascans.RunDataScanRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.datascans.RunDataScanResponse

Runs an on-demand execution of a DataScan

# 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 dataplex_v1

async def sample_run_data_scan():
    # Create a client
    client = dataplex_v1.DataScanServiceAsyncClient()

    # Initialize request argument(s)
    request = dataplex_v1.RunDataScanRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.dataplex_v1.types.RunDataScanRequest, dict]]

The request object. Run DataScan Request

name str

Required. The resource name of the DataScan: projects/{project}/locations/{location_id}/dataScans/{data_scan_id}. where project refers to a project_id or project_number and location_id refers to a GCP region. Only OnDemand data scans are allowed. 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
Type Description
google.cloud.dataplex_v1.types.RunDataScanResponse Run DataScan Response.

update_data_scan

update_data_scan(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.datascans.UpdateDataScanRequest, dict
        ]
    ] = None,
    *,
    data_scan: typing.Optional[
        google.cloud.dataplex_v1.types.datascans.DataScan
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates a DataScan resource.

# 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 dataplex_v1

async def sample_update_data_scan():
    # Create a client
    client = dataplex_v1.DataScanServiceAsyncClient()

    # Initialize request argument(s)
    data_scan = dataplex_v1.DataScan()
    data_scan.data_quality_spec.rules.dimension = "dimension_value"
    data_scan.data.entity = "entity_value"

    request = dataplex_v1.UpdateDataScanRequest(
        data_scan=data_scan,
    )

    # Make the request
    operation = client.update_data_scan(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.dataplex_v1.types.UpdateDataScanRequest, dict]]

The request object. Update dataScan request.

data_scan DataScan

Required. DataScan resource to be updated. Only fields specified in update_mask are updated. This corresponds to the data_scan field on the request instance; if request is provided, this should not be set.

update_mask google.protobuf.field_mask_pb2.FieldMask

Required. Mask of fields to update. 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_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
Type Description
google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be DataScan Represents a user-visible job which provides the insights for the related data source. For example: - Data Quality: generates queries based on the rules and runs against the data to get data quality check results. - Data Profile: analyzes the data in table(s) and generates insights about the structure, content and relationships (such as null percent, cardinality, min/max/mean, etc).