Oracle Cloud Infrastructure v2.17.0, Nov 15 24

Oracle Cloud Infrastructure v2.17.0 published on Friday, Nov 15, 2024 by Pulumi

oci.DataSafe.getDiscoveryJobsResult

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Oracle Cloud Infrastructure v2.17.0 published on Friday, Nov 15, 2024 by Pulumi

Example Usage

import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";

const testDiscoveryJobsResult = oci.DataSafe.getDiscoveryJobsResult({
    discoveryJobId: testDiscoveryJob.id,
    resultKey: discoveryJobsResultResultKey,
});

import pulumi
import pulumi_oci as oci

test_discovery_jobs_result = oci.DataSafe.get_discovery_jobs_result(discovery_job_id=test_discovery_job["id"],
    result_key=discovery_jobs_result_result_key)

package main

import (
	"github.com/pulumi/pulumi-oci/sdk/v2/go/oci/DataSafe"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := DataSafe.GetDiscoveryJobsResult(ctx, &datasafe.GetDiscoveryJobsResultArgs{
			DiscoveryJobId: testDiscoveryJob.Id,
			ResultKey:      discoveryJobsResultResultKey,
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Oci = Pulumi.Oci;

return await Deployment.RunAsync(() => 
{
    var testDiscoveryJobsResult = Oci.DataSafe.GetDiscoveryJobsResult.Invoke(new()
    {
        DiscoveryJobId = testDiscoveryJob.Id,
        ResultKey = discoveryJobsResultResultKey,
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.DataSafe.DataSafeFunctions;
import com.pulumi.oci.DataSafe.inputs.GetDiscoveryJobsResultArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var testDiscoveryJobsResult = DataSafeFunctions.getDiscoveryJobsResult(GetDiscoveryJobsResultArgs.builder()
            .discoveryJobId(testDiscoveryJob.id())
            .resultKey(discoveryJobsResultResultKey)
            .build());

    }
}

variables:
  testDiscoveryJobsResult:
    fn::invoke:
      Function: oci:DataSafe:getDiscoveryJobsResult
      Arguments:
        discoveryJobId: ${testDiscoveryJob.id}
        resultKey: ${discoveryJobsResultResultKey}

Using getDiscoveryJobsResult

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getDiscoveryJobsResult(args: GetDiscoveryJobsResultArgs, opts?: InvokeOptions): Promise<GetDiscoveryJobsResultResult>
function getDiscoveryJobsResultOutput(args: GetDiscoveryJobsResultOutputArgs, opts?: InvokeOptions): Output<GetDiscoveryJobsResultResult>

def get_discovery_jobs_result(discovery_job_id: Optional[str] = None,
                              result_key: Optional[str] = None,
                              opts: Optional[InvokeOptions] = None) -> GetDiscoveryJobsResultResult
def get_discovery_jobs_result_output(discovery_job_id: Optional[pulumi.Input[str]] = None,
                              result_key: Optional[pulumi.Input[str]] = None,
                              opts: Optional[InvokeOptions] = None) -> Output[GetDiscoveryJobsResultResult]

func GetDiscoveryJobsResult(ctx *Context, args *GetDiscoveryJobsResultArgs, opts ...InvokeOption) (*GetDiscoveryJobsResultResult, error)
func GetDiscoveryJobsResultOutput(ctx *Context, args *GetDiscoveryJobsResultOutputArgs, opts ...InvokeOption) GetDiscoveryJobsResultResultOutput

> Note: This function is named GetDiscoveryJobsResult in the Go SDK.

public static class GetDiscoveryJobsResult 
{
    public static Task<GetDiscoveryJobsResultResult> InvokeAsync(GetDiscoveryJobsResultArgs args, InvokeOptions? opts = null)
    public static Output<GetDiscoveryJobsResultResult> Invoke(GetDiscoveryJobsResultInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetDiscoveryJobsResultResult> getDiscoveryJobsResult(GetDiscoveryJobsResultArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

fn::invoke:
  function: oci:DataSafe/getDiscoveryJobsResult:getDiscoveryJobsResult
  arguments:
    # arguments dictionary

The following arguments are supported:

DiscoveryJobId string: The OCID of the discovery job.
ResultKey string: The unique key that identifies the discovery result.

DiscoveryJobId string: The OCID of the discovery job.
ResultKey string: The unique key that identifies the discovery result.

discoveryJobId String: The OCID of the discovery job.
resultKey String: The unique key that identifies the discovery result.

discoveryJobId string: The OCID of the discovery job.
resultKey string: The unique key that identifies the discovery result.

discovery_job_id str: The OCID of the discovery job.
result_key str: The unique key that identifies the discovery result.

discoveryJobId String: The OCID of the discovery job.
resultKey String: The unique key that identifies the discovery result.

getDiscoveryJobsResult Result

The following output properties are available:

AppDefinedChildColumnKeys List<string>: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
AppName string: The name of the application. An application is an entity that is identified by a schema and stores sensitive information for that schema. Its value will be same as schemaName, if no value is passed.
ColumnName string: The name of the sensitive column.
DataType string: The data type of the sensitive column.
DbDefinedChildColumnKeys List<string>: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
DiscoveryJobId string: The OCID of the discovery job.
DiscoveryType string: The type of the discovery result. It can be one of the following three types: NEW: A new sensitive column in the target database that is not in the sensitive data model. DELETED: A column that is present in the sensitive data model but has been deleted from the target database. MODIFIED: A column that is present in the target database as well as the sensitive data model but some of its attributes have been modified.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
EstimatedDataValueCount string: The estimated number of data values the column has in the associated database.
Id string
IsResultApplied bool: Indicates whether the discovery result has been processed. You can update this attribute using the PatchDiscoveryJobResults operation to track whether the discovery result has already been processed and applied to the sensitive data model.
Key string: The unique key that identifies the discovery result.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
ModifiedAttributes List<GetDiscoveryJobsResultModifiedAttribute>: The attributes of a sensitive column that have been modified in the target database. It's populated only in the case of MODIFIED discovery results and shows the new values of the modified attributes.
Object string: The database object that contains the sensitive column.
ObjectType string: The type of the database object that contains the sensitive column.
ParentColumnKeys List<string>: Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
PlannedAction string: Specifies how to process the discovery result. It's set to NONE by default. Use the PatchDiscoveryJobResults operation to update this attribute. You can choose one of the following options: ACCEPT: To accept the discovery result and update the sensitive data model to reflect the changes. REJECT: To reject the discovery result so that it doesn't change the sensitive data model. INVALIDATE: To invalidate a newly discovered column. It adds the column to the sensitive data model but marks it as invalid. It helps track false positives and ensure that they aren't reported by future discovery jobs. After specifying the planned action, you can use the ApplyDiscoveryJobResults operation to automatically process the discovery results.
RelationType string: The type of referential relationship the sensitive column has with its parent. NONE indicates that the sensitive column does not have a parent. DB_DEFINED indicates that the relationship is defined in the database dictionary. APP_DEFINED indicates that the relationship is defined at the application level and not in the database dictionary.
ResultKey string
SampleDataValues List<string>: Original data values collected for the sensitive column from the associated database. Sample data helps review the column and ensure that it actually contains sensitive data. Note that sample data is retrieved by a data discovery job only if the isSampleDataCollectionEnabled attribute is set to true. At present, only one data value is collected per sensitive column.
SchemaName string: The database schema that contains the sensitive column.
SensitiveColumnkey string: The unique key that identifies the sensitive column represented by the discovery result.
SensitiveTypeId string: The OCID of the sensitive type associated with the sensitive column.

AppDefinedChildColumnKeys []string: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
AppName string: The name of the application. An application is an entity that is identified by a schema and stores sensitive information for that schema. Its value will be same as schemaName, if no value is passed.
ColumnName string: The name of the sensitive column.
DataType string: The data type of the sensitive column.
DbDefinedChildColumnKeys []string: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
DiscoveryJobId string: The OCID of the discovery job.
DiscoveryType string: The type of the discovery result. It can be one of the following three types: NEW: A new sensitive column in the target database that is not in the sensitive data model. DELETED: A column that is present in the sensitive data model but has been deleted from the target database. MODIFIED: A column that is present in the target database as well as the sensitive data model but some of its attributes have been modified.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
EstimatedDataValueCount string: The estimated number of data values the column has in the associated database.
Id string
IsResultApplied bool: Indicates whether the discovery result has been processed. You can update this attribute using the PatchDiscoveryJobResults operation to track whether the discovery result has already been processed and applied to the sensitive data model.
Key string: The unique key that identifies the discovery result.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
ModifiedAttributes []GetDiscoveryJobsResultModifiedAttribute: The attributes of a sensitive column that have been modified in the target database. It's populated only in the case of MODIFIED discovery results and shows the new values of the modified attributes.
Object string: The database object that contains the sensitive column.
ObjectType string: The type of the database object that contains the sensitive column.
ParentColumnKeys []string: Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
PlannedAction string: Specifies how to process the discovery result. It's set to NONE by default. Use the PatchDiscoveryJobResults operation to update this attribute. You can choose one of the following options: ACCEPT: To accept the discovery result and update the sensitive data model to reflect the changes. REJECT: To reject the discovery result so that it doesn't change the sensitive data model. INVALIDATE: To invalidate a newly discovered column. It adds the column to the sensitive data model but marks it as invalid. It helps track false positives and ensure that they aren't reported by future discovery jobs. After specifying the planned action, you can use the ApplyDiscoveryJobResults operation to automatically process the discovery results.
RelationType string: The type of referential relationship the sensitive column has with its parent. NONE indicates that the sensitive column does not have a parent. DB_DEFINED indicates that the relationship is defined in the database dictionary. APP_DEFINED indicates that the relationship is defined at the application level and not in the database dictionary.
ResultKey string
SampleDataValues []string: Original data values collected for the sensitive column from the associated database. Sample data helps review the column and ensure that it actually contains sensitive data. Note that sample data is retrieved by a data discovery job only if the isSampleDataCollectionEnabled attribute is set to true. At present, only one data value is collected per sensitive column.
SchemaName string: The database schema that contains the sensitive column.
SensitiveColumnkey string: The unique key that identifies the sensitive column represented by the discovery result.
SensitiveTypeId string: The OCID of the sensitive type associated with the sensitive column.

appDefinedChildColumnKeys List<String>: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
appName String: The name of the application. An application is an entity that is identified by a schema and stores sensitive information for that schema. Its value will be same as schemaName, if no value is passed.
columnName String: The name of the sensitive column.
dataType String: The data type of the sensitive column.
dbDefinedChildColumnKeys List<String>: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
discoveryJobId String: The OCID of the discovery job.
discoveryType String: The type of the discovery result. It can be one of the following three types: NEW: A new sensitive column in the target database that is not in the sensitive data model. DELETED: A column that is present in the sensitive data model but has been deleted from the target database. MODIFIED: A column that is present in the target database as well as the sensitive data model but some of its attributes have been modified.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
estimatedDataValueCount String: The estimated number of data values the column has in the associated database.
id String
isResultApplied Boolean: Indicates whether the discovery result has been processed. You can update this attribute using the PatchDiscoveryJobResults operation to track whether the discovery result has already been processed and applied to the sensitive data model.
key String: The unique key that identifies the discovery result.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
modifiedAttributes List<GetDiscoveryJobsResultModifiedAttribute>: The attributes of a sensitive column that have been modified in the target database. It's populated only in the case of MODIFIED discovery results and shows the new values of the modified attributes.
object String: The database object that contains the sensitive column.
objectType String: The type of the database object that contains the sensitive column.
parentColumnKeys List<String>: Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
plannedAction String: Specifies how to process the discovery result. It's set to NONE by default. Use the PatchDiscoveryJobResults operation to update this attribute. You can choose one of the following options: ACCEPT: To accept the discovery result and update the sensitive data model to reflect the changes. REJECT: To reject the discovery result so that it doesn't change the sensitive data model. INVALIDATE: To invalidate a newly discovered column. It adds the column to the sensitive data model but marks it as invalid. It helps track false positives and ensure that they aren't reported by future discovery jobs. After specifying the planned action, you can use the ApplyDiscoveryJobResults operation to automatically process the discovery results.
relationType String: The type of referential relationship the sensitive column has with its parent. NONE indicates that the sensitive column does not have a parent. DB_DEFINED indicates that the relationship is defined in the database dictionary. APP_DEFINED indicates that the relationship is defined at the application level and not in the database dictionary.
resultKey String
sampleDataValues List<String>: Original data values collected for the sensitive column from the associated database. Sample data helps review the column and ensure that it actually contains sensitive data. Note that sample data is retrieved by a data discovery job only if the isSampleDataCollectionEnabled attribute is set to true. At present, only one data value is collected per sensitive column.
schemaName String: The database schema that contains the sensitive column.
sensitiveColumnkey String: The unique key that identifies the sensitive column represented by the discovery result.
sensitiveTypeId String: The OCID of the sensitive type associated with the sensitive column.

appDefinedChildColumnKeys string[]: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
appName string: The name of the application. An application is an entity that is identified by a schema and stores sensitive information for that schema. Its value will be same as schemaName, if no value is passed.
columnName string: The name of the sensitive column.
dataType string: The data type of the sensitive column.
dbDefinedChildColumnKeys string[]: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
discoveryJobId string: The OCID of the discovery job.
discoveryType string: The type of the discovery result. It can be one of the following three types: NEW: A new sensitive column in the target database that is not in the sensitive data model. DELETED: A column that is present in the sensitive data model but has been deleted from the target database. MODIFIED: A column that is present in the target database as well as the sensitive data model but some of its attributes have been modified.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
estimatedDataValueCount string: The estimated number of data values the column has in the associated database.
id string
isResultApplied boolean: Indicates whether the discovery result has been processed. You can update this attribute using the PatchDiscoveryJobResults operation to track whether the discovery result has already been processed and applied to the sensitive data model.
key string: The unique key that identifies the discovery result.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
modifiedAttributes GetDiscoveryJobsResultModifiedAttribute[]: The attributes of a sensitive column that have been modified in the target database. It's populated only in the case of MODIFIED discovery results and shows the new values of the modified attributes.
object string: The database object that contains the sensitive column.
objectType string: The type of the database object that contains the sensitive column.
parentColumnKeys string[]: Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
plannedAction string: Specifies how to process the discovery result. It's set to NONE by default. Use the PatchDiscoveryJobResults operation to update this attribute. You can choose one of the following options: ACCEPT: To accept the discovery result and update the sensitive data model to reflect the changes. REJECT: To reject the discovery result so that it doesn't change the sensitive data model. INVALIDATE: To invalidate a newly discovered column. It adds the column to the sensitive data model but marks it as invalid. It helps track false positives and ensure that they aren't reported by future discovery jobs. After specifying the planned action, you can use the ApplyDiscoveryJobResults operation to automatically process the discovery results.
relationType string: The type of referential relationship the sensitive column has with its parent. NONE indicates that the sensitive column does not have a parent. DB_DEFINED indicates that the relationship is defined in the database dictionary. APP_DEFINED indicates that the relationship is defined at the application level and not in the database dictionary.
resultKey string
sampleDataValues string[]: Original data values collected for the sensitive column from the associated database. Sample data helps review the column and ensure that it actually contains sensitive data. Note that sample data is retrieved by a data discovery job only if the isSampleDataCollectionEnabled attribute is set to true. At present, only one data value is collected per sensitive column.
schemaName string: The database schema that contains the sensitive column.
sensitiveColumnkey string: The unique key that identifies the sensitive column represented by the discovery result.
sensitiveTypeId string: The OCID of the sensitive type associated with the sensitive column.

app_defined_child_column_keys Sequence[str]: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
app_name str: The name of the application. An application is an entity that is identified by a schema and stores sensitive information for that schema. Its value will be same as schemaName, if no value is passed.
column_name str: The name of the sensitive column.
data_type str: The data type of the sensitive column.
db_defined_child_column_keys Sequence[str]: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
discovery_job_id str: The OCID of the discovery job.
discovery_type str: The type of the discovery result. It can be one of the following three types: NEW: A new sensitive column in the target database that is not in the sensitive data model. DELETED: A column that is present in the sensitive data model but has been deleted from the target database. MODIFIED: A column that is present in the target database as well as the sensitive data model but some of its attributes have been modified.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
estimated_data_value_count str: The estimated number of data values the column has in the associated database.
id str
is_result_applied bool: Indicates whether the discovery result has been processed. You can update this attribute using the PatchDiscoveryJobResults operation to track whether the discovery result has already been processed and applied to the sensitive data model.
key str: The unique key that identifies the discovery result.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
modified_attributes Sequence[datasafe.GetDiscoveryJobsResultModifiedAttribute]: The attributes of a sensitive column that have been modified in the target database. It's populated only in the case of MODIFIED discovery results and shows the new values of the modified attributes.
object str: The database object that contains the sensitive column.
object_type str: The type of the database object that contains the sensitive column.
parent_column_keys Sequence[str]: Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
planned_action str: Specifies how to process the discovery result. It's set to NONE by default. Use the PatchDiscoveryJobResults operation to update this attribute. You can choose one of the following options: ACCEPT: To accept the discovery result and update the sensitive data model to reflect the changes. REJECT: To reject the discovery result so that it doesn't change the sensitive data model. INVALIDATE: To invalidate a newly discovered column. It adds the column to the sensitive data model but marks it as invalid. It helps track false positives and ensure that they aren't reported by future discovery jobs. After specifying the planned action, you can use the ApplyDiscoveryJobResults operation to automatically process the discovery results.
relation_type str: The type of referential relationship the sensitive column has with its parent. NONE indicates that the sensitive column does not have a parent. DB_DEFINED indicates that the relationship is defined in the database dictionary. APP_DEFINED indicates that the relationship is defined at the application level and not in the database dictionary.
result_key str
sample_data_values Sequence[str]: Original data values collected for the sensitive column from the associated database. Sample data helps review the column and ensure that it actually contains sensitive data. Note that sample data is retrieved by a data discovery job only if the isSampleDataCollectionEnabled attribute is set to true. At present, only one data value is collected per sensitive column.
schema_name str: The database schema that contains the sensitive column.
sensitive_columnkey str: The unique key that identifies the sensitive column represented by the discovery result.
sensitive_type_id str: The OCID of the sensitive type associated with the sensitive column.

appDefinedChildColumnKeys List<String>: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
appName String: The name of the application. An application is an entity that is identified by a schema and stores sensitive information for that schema. Its value will be same as schemaName, if no value is passed.
columnName String: The name of the sensitive column.
dataType String: The data type of the sensitive column.
dbDefinedChildColumnKeys List<String>: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
discoveryJobId String: The OCID of the discovery job.
discoveryType String: The type of the discovery result. It can be one of the following three types: NEW: A new sensitive column in the target database that is not in the sensitive data model. DELETED: A column that is present in the sensitive data model but has been deleted from the target database. MODIFIED: A column that is present in the target database as well as the sensitive data model but some of its attributes have been modified.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
estimatedDataValueCount String: The estimated number of data values the column has in the associated database.
id String
isResultApplied Boolean: Indicates whether the discovery result has been processed. You can update this attribute using the PatchDiscoveryJobResults operation to track whether the discovery result has already been processed and applied to the sensitive data model.
key String: The unique key that identifies the discovery result.
Deprecated: The 'oci_data_safe_discovery_jobs_result' resource has been deprecated. It is no longer supported.
modifiedAttributes List<Property Map>: The attributes of a sensitive column that have been modified in the target database. It's populated only in the case of MODIFIED discovery results and shows the new values of the modified attributes.
object String: The database object that contains the sensitive column.
objectType String: The type of the database object that contains the sensitive column.
parentColumnKeys List<String>: Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
plannedAction String: Specifies how to process the discovery result. It's set to NONE by default. Use the PatchDiscoveryJobResults operation to update this attribute. You can choose one of the following options: ACCEPT: To accept the discovery result and update the sensitive data model to reflect the changes. REJECT: To reject the discovery result so that it doesn't change the sensitive data model. INVALIDATE: To invalidate a newly discovered column. It adds the column to the sensitive data model but marks it as invalid. It helps track false positives and ensure that they aren't reported by future discovery jobs. After specifying the planned action, you can use the ApplyDiscoveryJobResults operation to automatically process the discovery results.
relationType String: The type of referential relationship the sensitive column has with its parent. NONE indicates that the sensitive column does not have a parent. DB_DEFINED indicates that the relationship is defined in the database dictionary. APP_DEFINED indicates that the relationship is defined at the application level and not in the database dictionary.
resultKey String
sampleDataValues List<String>: Original data values collected for the sensitive column from the associated database. Sample data helps review the column and ensure that it actually contains sensitive data. Note that sample data is retrieved by a data discovery job only if the isSampleDataCollectionEnabled attribute is set to true. At present, only one data value is collected per sensitive column.
schemaName String: The database schema that contains the sensitive column.
sensitiveColumnkey String: The unique key that identifies the sensitive column represented by the discovery result.
sensitiveTypeId String: The OCID of the sensitive type associated with the sensitive column.

Supporting Types

GetDiscoveryJobsResultModifiedAttribute

AppDefinedChildColumnKeys List<string>: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
DbDefinedChildColumnKeys List<string>: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.

AppDefinedChildColumnKeys []string: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
DbDefinedChildColumnKeys []string: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.

appDefinedChildColumnKeys List<String>: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
dbDefinedChildColumnKeys List<String>: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.

appDefinedChildColumnKeys string[]: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
dbDefinedChildColumnKeys string[]: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.

app_defined_child_column_keys Sequence[str]: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
db_defined_child_column_keys Sequence[str]: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.

appDefinedChildColumnKeys List<String>: Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
dbDefinedChildColumnKeys List<String>: Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.

Package Details

Repository: oci pulumi/pulumi-oci
License: Apache-2.0
Notes: This Pulumi package is based on the oci Terraform Provider.

Oracle Cloud Infrastructure v2.17.0 published on Friday, Nov 15, 2024 by Pulumi

pulumi/pulumi-oci

oci.DataSafe.getDiscoveryJobsResult

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Example Usage

Using getDiscoveryJobsResult

getDiscoveryJobsResult Result

Supporting Types

GetDiscoveryJobsResultModifiedAttribute

Package Details

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