Class DataScanServiceClient (1.4.2)

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

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

transport

Returns the transport used by the client instance.

Returns
TypeDescription
DataScanServiceTransportThe transport used by the client instance.

Methods

DataScanServiceClient

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

Instantiates the data scan service client.

Parameters
NameDescription
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, DataScanServiceTransport]

The transport to use. 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. 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.

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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

cancel_operation

cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = 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]] = ())

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
NameDescription
request .operations_pb2.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.

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_data_scan

create_data_scan(request: Optional[Union[google.cloud.dataplex_v1.types.datascans.CreateDataScanRequest, dict]] = None, *, parent: Optional[str] = None, data_scan: Optional[google.cloud.dataplex_v1.types.datascans.DataScan] = None, data_scan_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 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

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

    # Initialize request argument(s)
    data_scan = dataplex_v1.DataScan()
    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 = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request 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 google.cloud.dataplex_v1.types.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.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
TypeDescription
google.api_core.operation.OperationAn 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)

Returns a fully-qualified data_scan_job string.

data_scan_path

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

Returns a fully-qualified data_scan string.

delete_data_scan

delete_data_scan(request: Optional[Union[google.cloud.dataplex_v1.types.datascans.DeleteDataScanRequest, 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 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

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

    # 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 = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request 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.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
TypeDescription
google.api_core.operation.OperationAn 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: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = 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 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
NameDescription
request .operations_pb2.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.

entity_path

entity_path(project: str, location: str, lake: str, zone: str, entity: 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
DataScanServiceClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
DataScanServiceClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
DataScanServiceClientThe constructed client.

get_data_scan

get_data_scan(request: Optional[Union[google.cloud.dataplex_v1.types.datascans.GetDataScanRequest, 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]] = ())

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

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

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

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

    # Handle the response
    print(response)
Parameters
NameDescription
request 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.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
TypeDescription
google.cloud.dataplex_v1.types.DataScanRepresents 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: Optional[Union[google.cloud.dataplex_v1.types.datascans.GetDataScanJobRequest, 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]] = ())

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

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

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

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

    # Handle the response
    print(response)
Parameters
NameDescription
request 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}/dataScanJobs/{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.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
TypeDescription
google.cloud.dataplex_v1.types.DataScanJobA DataScanJob represents an instance of DataScan execution.

get_location

get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = 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 information about a location.

Parameters
NameDescription
request .location_pb2.GetLocationRequest

The request object. Request message for GetLocation 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
TypeDescription
.location_pb2.LocationLocation object.

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 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
NameDescription
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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_operation

get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = 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 the latest state of a long-running operation.

Parameters
NameDescription
request .operations_pb2.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
TypeDescription
.operations_pb2.OperationAn Operation object.

list_data_scan_jobs

list_data_scan_jobs(request: Optional[Union[google.cloud.dataplex_v1.types.datascans.ListDataScanJobsRequest, 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 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

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

    # 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
    for response in page_result:
        print(response)
Parameters
NameDescription
request 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.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
TypeDescription
google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScanJobsPagerList DataScanJobs response. Iterating over this object will yield results and resolve additional pages automatically.

list_data_scans

list_data_scans(request: Optional[Union[google.cloud.dataplex_v1.types.datascans.ListDataScansRequest, 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 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

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

    # 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
    for response in page_result:
        print(response)
Parameters
NameDescription
request 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.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
TypeDescription
google.cloud.dataplex_v1.services.data_scan_service.pagers.ListDataScansPagerList dataScans response. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = 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 information about the supported locations for this service.

Parameters
NameDescription
request .location_pb2.ListLocationsRequest

The request object. Request message for ListLocations 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
TypeDescription
.location_pb2.ListLocationsResponseResponse message for ListLocations method.

list_operations

list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = 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 operations that match the specified filter in the request.

Parameters
NameDescription
request .operations_pb2.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
TypeDescription
.operations_pb2.ListOperationsResponseResponse message for ListOperations method.

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_data_scan_job_path

parse_data_scan_job_path(path: str)

Parses a data_scan_job path into its component segments.

parse_data_scan_path

parse_data_scan_path(path: str)

Parses a data_scan path into its component segments.

parse_entity_path

parse_entity_path(path: str)

Parses a entity path into its component segments.

run_data_scan

run_data_scan(request: Optional[Union[google.cloud.dataplex_v1.types.datascans.RunDataScanRequest, 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]] = ())

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

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

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

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

    # Handle the response
    print(response)
Parameters
NameDescription
request 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.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
TypeDescription
google.cloud.dataplex_v1.types.RunDataScanResponseRun DataScan Response.

update_data_scan

update_data_scan(request: Optional[Union[google.cloud.dataplex_v1.types.datascans.UpdateDataScanRequest, dict]] = None, *, data_scan: Optional[google.cloud.dataplex_v1.types.datascans.DataScan] = 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 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

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

    # Initialize request argument(s)
    data_scan = dataplex_v1.DataScan()
    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 = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dataplex_v1.types.UpdateDataScanRequest, dict]

The request object. Update dataScan request.

data_scan google.cloud.dataplex_v1.types.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.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
TypeDescription
google.api_core.operation.OperationAn 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).