Oracle Cloud Infrastructure v2.17.0 published on Friday, Nov 15, 2024 by Pulumi
oci.DataSafe.getDiscoveryJobsResults
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This data source provides the list of Discovery Jobs Results in Oracle Cloud Infrastructure Data Safe service.
Gets a list of discovery results based on the specified query parameters.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";
const testDiscoveryJobsResults = oci.DataSafe.getDiscoveryJobsResults({
discoveryJobId: testDiscoveryJob.id,
columnNames: discoveryJobsResultColumnName,
discoveryType: discoveryJobsResultDiscoveryType,
isResultApplied: discoveryJobsResultIsResultApplied,
objects: discoveryJobsResultObject,
plannedAction: discoveryJobsResultPlannedAction,
schemaNames: discoveryJobsResultSchemaName,
});
import pulumi
import pulumi_oci as oci
test_discovery_jobs_results = oci.DataSafe.get_discovery_jobs_results(discovery_job_id=test_discovery_job["id"],
column_names=discovery_jobs_result_column_name,
discovery_type=discovery_jobs_result_discovery_type,
is_result_applied=discovery_jobs_result_is_result_applied,
objects=discovery_jobs_result_object,
planned_action=discovery_jobs_result_planned_action,
schema_names=discovery_jobs_result_schema_name)
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.GetDiscoveryJobsResults(ctx, &datasafe.GetDiscoveryJobsResultsArgs{
DiscoveryJobId: testDiscoveryJob.Id,
ColumnNames: discoveryJobsResultColumnName,
DiscoveryType: pulumi.StringRef(discoveryJobsResultDiscoveryType),
IsResultApplied: pulumi.BoolRef(discoveryJobsResultIsResultApplied),
Objects: discoveryJobsResultObject,
PlannedAction: pulumi.StringRef(discoveryJobsResultPlannedAction),
SchemaNames: discoveryJobsResultSchemaName,
}, 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 testDiscoveryJobsResults = Oci.DataSafe.GetDiscoveryJobsResults.Invoke(new()
{
DiscoveryJobId = testDiscoveryJob.Id,
ColumnNames = discoveryJobsResultColumnName,
DiscoveryType = discoveryJobsResultDiscoveryType,
IsResultApplied = discoveryJobsResultIsResultApplied,
Objects = discoveryJobsResultObject,
PlannedAction = discoveryJobsResultPlannedAction,
SchemaNames = discoveryJobsResultSchemaName,
});
});
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.GetDiscoveryJobsResultsArgs;
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 testDiscoveryJobsResults = DataSafeFunctions.getDiscoveryJobsResults(GetDiscoveryJobsResultsArgs.builder()
.discoveryJobId(testDiscoveryJob.id())
.columnNames(discoveryJobsResultColumnName)
.discoveryType(discoveryJobsResultDiscoveryType)
.isResultApplied(discoveryJobsResultIsResultApplied)
.objects(discoveryJobsResultObject)
.plannedAction(discoveryJobsResultPlannedAction)
.schemaNames(discoveryJobsResultSchemaName)
.build());
}
}
variables:
testDiscoveryJobsResults:
fn::invoke:
Function: oci:DataSafe:getDiscoveryJobsResults
Arguments:
discoveryJobId: ${testDiscoveryJob.id}
columnNames: ${discoveryJobsResultColumnName}
discoveryType: ${discoveryJobsResultDiscoveryType}
isResultApplied: ${discoveryJobsResultIsResultApplied}
objects: ${discoveryJobsResultObject}
plannedAction: ${discoveryJobsResultPlannedAction}
schemaNames: ${discoveryJobsResultSchemaName}
Using getDiscoveryJobsResults
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 getDiscoveryJobsResults(args: GetDiscoveryJobsResultsArgs, opts?: InvokeOptions): Promise<GetDiscoveryJobsResultsResult>
function getDiscoveryJobsResultsOutput(args: GetDiscoveryJobsResultsOutputArgs, opts?: InvokeOptions): Output<GetDiscoveryJobsResultsResult>
def get_discovery_jobs_results(column_names: Optional[Sequence[str]] = None,
discovery_job_id: Optional[str] = None,
discovery_type: Optional[str] = None,
filters: Optional[Sequence[_datasafe.GetDiscoveryJobsResultsFilter]] = None,
is_result_applied: Optional[bool] = None,
objects: Optional[Sequence[str]] = None,
planned_action: Optional[str] = None,
schema_names: Optional[Sequence[str]] = None,
opts: Optional[InvokeOptions] = None) -> GetDiscoveryJobsResultsResult
def get_discovery_jobs_results_output(column_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
discovery_job_id: Optional[pulumi.Input[str]] = None,
discovery_type: Optional[pulumi.Input[str]] = None,
filters: Optional[pulumi.Input[Sequence[pulumi.Input[_datasafe.GetDiscoveryJobsResultsFilterArgs]]]] = None,
is_result_applied: Optional[pulumi.Input[bool]] = None,
objects: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
planned_action: Optional[pulumi.Input[str]] = None,
schema_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
opts: Optional[InvokeOptions] = None) -> Output[GetDiscoveryJobsResultsResult]
func GetDiscoveryJobsResults(ctx *Context, args *GetDiscoveryJobsResultsArgs, opts ...InvokeOption) (*GetDiscoveryJobsResultsResult, error)
func GetDiscoveryJobsResultsOutput(ctx *Context, args *GetDiscoveryJobsResultsOutputArgs, opts ...InvokeOption) GetDiscoveryJobsResultsResultOutput
> Note: This function is named GetDiscoveryJobsResults
in the Go SDK.
public static class GetDiscoveryJobsResults
{
public static Task<GetDiscoveryJobsResultsResult> InvokeAsync(GetDiscoveryJobsResultsArgs args, InvokeOptions? opts = null)
public static Output<GetDiscoveryJobsResultsResult> Invoke(GetDiscoveryJobsResultsInvokeArgs args, InvokeOptions? opts = null)
}
public static CompletableFuture<GetDiscoveryJobsResultsResult> getDiscoveryJobsResults(GetDiscoveryJobsResultsArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet
fn::invoke:
function: oci:DataSafe/getDiscoveryJobsResults:getDiscoveryJobsResults
arguments:
# arguments dictionary
The following arguments are supported:
- Discovery
Job stringId - The OCID of the discovery job.
- Column
Names List<string> - A filter to return only a specific column based on column name.
- Discovery
Type string - A filter to return only the resources that match the specified discovery type.
- Filters
List<Get
Discovery Jobs Results Filter> - Is
Result boolApplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- Objects List<string>
- A filter to return only items related to a specific object name.
- Planned
Action string - A filter to return only the resources that match the specified planned action.
- Schema
Names List<string> - A filter to return only items related to specific schema name.
- Discovery
Job stringId - The OCID of the discovery job.
- Column
Names []string - A filter to return only a specific column based on column name.
- Discovery
Type string - A filter to return only the resources that match the specified discovery type.
- Filters
[]Get
Discovery Jobs Results Filter - Is
Result boolApplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- Objects []string
- A filter to return only items related to a specific object name.
- Planned
Action string - A filter to return only the resources that match the specified planned action.
- Schema
Names []string - A filter to return only items related to specific schema name.
- discovery
Job StringId - The OCID of the discovery job.
- column
Names List<String> - A filter to return only a specific column based on column name.
- discovery
Type String - A filter to return only the resources that match the specified discovery type.
- filters
List<Get
Discovery Jobs Results Filter> - is
Result BooleanApplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- objects List<String>
- A filter to return only items related to a specific object name.
- planned
Action String - A filter to return only the resources that match the specified planned action.
- schema
Names List<String> - A filter to return only items related to specific schema name.
- discovery
Job stringId - The OCID of the discovery job.
- column
Names string[] - A filter to return only a specific column based on column name.
- discovery
Type string - A filter to return only the resources that match the specified discovery type.
- filters
Get
Discovery Jobs Results Filter[] - is
Result booleanApplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- objects string[]
- A filter to return only items related to a specific object name.
- planned
Action string - A filter to return only the resources that match the specified planned action.
- schema
Names string[] - A filter to return only items related to specific schema name.
- discovery_
job_ strid - The OCID of the discovery job.
- column_
names Sequence[str] - A filter to return only a specific column based on column name.
- discovery_
type str - A filter to return only the resources that match the specified discovery type.
- filters
Sequence[datasafe.
Get Discovery Jobs Results Filter] - is_
result_ boolapplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- objects Sequence[str]
- A filter to return only items related to a specific object name.
- planned_
action str - A filter to return only the resources that match the specified planned action.
- schema_
names Sequence[str] - A filter to return only items related to specific schema name.
- discovery
Job StringId - The OCID of the discovery job.
- column
Names List<String> - A filter to return only a specific column based on column name.
- discovery
Type String - A filter to return only the resources that match the specified discovery type.
- filters List<Property Map>
- is
Result BooleanApplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- objects List<String>
- A filter to return only items related to a specific object name.
- planned
Action String - A filter to return only the resources that match the specified planned action.
- schema
Names List<String> - A filter to return only items related to specific schema name.
getDiscoveryJobsResults Result
The following output properties are available:
- Discovery
Job stringId - The OCID of the discovery job.
- Discovery
Job List<GetResult Collections Discovery Jobs Results Discovery Job Result Collection> - The list of discovery_job_result_collection.
- Id string
- The provider-assigned unique ID for this managed resource.
- Column
Names List<string> - The name of the sensitive column.
- Discovery
Type 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.
- Filters
List<Get
Discovery Jobs Results Filter> - Is
Result boolApplied - 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.
- Objects List<string>
- The database object that contains the sensitive column.
- Planned
Action 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.
- Schema
Names List<string> - The database schema that contains the sensitive column.
- Discovery
Job stringId - The OCID of the discovery job.
- Discovery
Job []GetResult Collections Discovery Jobs Results Discovery Job Result Collection - The list of discovery_job_result_collection.
- Id string
- The provider-assigned unique ID for this managed resource.
- Column
Names []string - The name of the sensitive column.
- Discovery
Type 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.
- Filters
[]Get
Discovery Jobs Results Filter - Is
Result boolApplied - 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.
- Objects []string
- The database object that contains the sensitive column.
- Planned
Action 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.
- Schema
Names []string - The database schema that contains the sensitive column.
- discovery
Job StringId - The OCID of the discovery job.
- discovery
Job List<GetResult Collections Discovery Jobs Results Discovery Job Result Collection> - The list of discovery_job_result_collection.
- id String
- The provider-assigned unique ID for this managed resource.
- column
Names List<String> - The name of the sensitive column.
- discovery
Type 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.
- filters
List<Get
Discovery Jobs Results Filter> - is
Result BooleanApplied - 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.
- objects List<String>
- The database object that contains the sensitive column.
- planned
Action 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.
- schema
Names List<String> - The database schema that contains the sensitive column.
- discovery
Job stringId - The OCID of the discovery job.
- discovery
Job GetResult Collections Discovery Jobs Results Discovery Job Result Collection[] - The list of discovery_job_result_collection.
- id string
- The provider-assigned unique ID for this managed resource.
- column
Names string[] - The name of the sensitive column.
- discovery
Type 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.
- filters
Get
Discovery Jobs Results Filter[] - is
Result booleanApplied - 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.
- objects string[]
- The database object that contains the sensitive column.
- planned
Action 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.
- schema
Names string[] - The database schema that contains the sensitive column.
- discovery_
job_ strid - The OCID of the discovery job.
- discovery_
job_ Sequence[datasafe.result_ collections Get Discovery Jobs Results Discovery Job Result Collection] - The list of discovery_job_result_collection.
- id str
- The provider-assigned unique ID for this managed resource.
- column_
names Sequence[str] - The name of the sensitive column.
- 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.
- filters
Sequence[datasafe.
Get Discovery Jobs Results Filter] - is_
result_ boolapplied - 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.
- objects Sequence[str]
- The database object that contains the sensitive column.
- 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.
- schema_
names Sequence[str] - The database schema that contains the sensitive column.
- discovery
Job StringId - The OCID of the discovery job.
- discovery
Job List<Property Map>Result Collections - The list of discovery_job_result_collection.
- id String
- The provider-assigned unique ID for this managed resource.
- column
Names List<String> - The name of the sensitive column.
- discovery
Type 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.
- filters List<Property Map>
- is
Result BooleanApplied - 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.
- objects List<String>
- The database object that contains the sensitive column.
- planned
Action 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.
- schema
Names List<String> - The database schema that contains the sensitive column.
Supporting Types
GetDiscoveryJobsResultsDiscoveryJobResultCollection
GetDiscoveryJobsResultsDiscoveryJobResultCollectionItem
- App
Defined List<string>Child Column Keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- App
Name 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.
- Column
Name string - A filter to return only a specific column based on column name.
- Data
Type string - The data type of the sensitive column.
- Db
Defined List<string>Child Column Keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- Discovery
Job stringId - The OCID of the discovery job.
- Discovery
Type string - A filter to return only the resources that match the specified discovery type.
- Estimated
Data stringValue Count - The estimated number of data values the column has in the associated database.
- Is
Result boolApplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- Key string
- The unique key that identifies the discovery result.
- Modified
Attributes List<GetDiscovery Jobs Results Discovery Job Result Collection Item Modified Attribute> - 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
- A filter to return only items related to a specific object name.
- Object
Type string - The type of the database object that contains the sensitive column.
- Parent
Column List<string>Keys - Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
- Planned
Action string - A filter to return only the resources that match the specified planned action.
- Relation
Type 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.
- Sample
Data List<string>Values - 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 string - A filter to return only items related to specific schema name.
- Sensitive
Columnkey string - The unique key that identifies the sensitive column represented by the discovery result.
- Sensitive
Type stringId - The OCID of the sensitive type associated with the sensitive column.
- App
Defined []stringChild Column Keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- App
Name 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.
- Column
Name string - A filter to return only a specific column based on column name.
- Data
Type string - The data type of the sensitive column.
- Db
Defined []stringChild Column Keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- Discovery
Job stringId - The OCID of the discovery job.
- Discovery
Type string - A filter to return only the resources that match the specified discovery type.
- Estimated
Data stringValue Count - The estimated number of data values the column has in the associated database.
- Is
Result boolApplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- Key string
- The unique key that identifies the discovery result.
- Modified
Attributes []GetDiscovery Jobs Results Discovery Job Result Collection Item Modified Attribute - 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
- A filter to return only items related to a specific object name.
- Object
Type string - The type of the database object that contains the sensitive column.
- Parent
Column []stringKeys - Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
- Planned
Action string - A filter to return only the resources that match the specified planned action.
- Relation
Type 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.
- Sample
Data []stringValues - 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 string - A filter to return only items related to specific schema name.
- Sensitive
Columnkey string - The unique key that identifies the sensitive column represented by the discovery result.
- Sensitive
Type stringId - The OCID of the sensitive type associated with the sensitive column.
- app
Defined List<String>Child Column Keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- app
Name 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.
- column
Name String - A filter to return only a specific column based on column name.
- data
Type String - The data type of the sensitive column.
- db
Defined List<String>Child Column Keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- discovery
Job StringId - The OCID of the discovery job.
- discovery
Type String - A filter to return only the resources that match the specified discovery type.
- estimated
Data StringValue Count - The estimated number of data values the column has in the associated database.
- is
Result BooleanApplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- key String
- The unique key that identifies the discovery result.
- modified
Attributes List<GetDiscovery Jobs Results Discovery Job Result Collection Item Modified Attribute> - 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
- A filter to return only items related to a specific object name.
- object
Type String - The type of the database object that contains the sensitive column.
- parent
Column List<String>Keys - Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
- planned
Action String - A filter to return only the resources that match the specified planned action.
- relation
Type 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.
- sample
Data List<String>Values - 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 String - A filter to return only items related to specific schema name.
- sensitive
Columnkey String - The unique key that identifies the sensitive column represented by the discovery result.
- sensitive
Type StringId - The OCID of the sensitive type associated with the sensitive column.
- app
Defined string[]Child Column Keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- app
Name 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.
- column
Name string - A filter to return only a specific column based on column name.
- data
Type string - The data type of the sensitive column.
- db
Defined string[]Child Column Keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- discovery
Job stringId - The OCID of the discovery job.
- discovery
Type string - A filter to return only the resources that match the specified discovery type.
- estimated
Data stringValue Count - The estimated number of data values the column has in the associated database.
- is
Result booleanApplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- key string
- The unique key that identifies the discovery result.
- modified
Attributes GetDiscovery Jobs Results Discovery Job Result Collection Item Modified Attribute[] - 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
- A filter to return only items related to a specific object name.
- object
Type string - The type of the database object that contains the sensitive column.
- parent
Column string[]Keys - Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
- planned
Action string - A filter to return only the resources that match the specified planned action.
- relation
Type 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.
- sample
Data string[]Values - 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 string - A filter to return only items related to specific schema name.
- sensitive
Columnkey string - The unique key that identifies the sensitive column represented by the discovery result.
- sensitive
Type stringId - The OCID of the sensitive type associated with the sensitive column.
- app_
defined_ Sequence[str]child_ column_ keys - 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 - A filter to return only a specific column based on column name.
- data_
type str - The data type of the sensitive column.
- db_
defined_ Sequence[str]child_ column_ keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- discovery_
job_ strid - The OCID of the discovery job.
- discovery_
type str - A filter to return only the resources that match the specified discovery type.
- estimated_
data_ strvalue_ count - The estimated number of data values the column has in the associated database.
- is_
result_ boolapplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- key str
- The unique key that identifies the discovery result.
- modified_
attributes Sequence[datasafe.Get Discovery Jobs Results Discovery Job Result Collection Item Modified Attribute] - 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
- A filter to return only items related to a specific object name.
- object_
type str - The type of the database object that contains the sensitive column.
- parent_
column_ Sequence[str]keys - Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
- planned_
action str - A filter to return only the resources that match the specified planned action.
- 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.
- sample_
data_ Sequence[str]values - 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 - A filter to return only items related to specific schema name.
- sensitive_
columnkey str - The unique key that identifies the sensitive column represented by the discovery result.
- sensitive_
type_ strid - The OCID of the sensitive type associated with the sensitive column.
- app
Defined List<String>Child Column Keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- app
Name 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.
- column
Name String - A filter to return only a specific column based on column name.
- data
Type String - The data type of the sensitive column.
- db
Defined List<String>Child Column Keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- discovery
Job StringId - The OCID of the discovery job.
- discovery
Type String - A filter to return only the resources that match the specified discovery type.
- estimated
Data StringValue Count - The estimated number of data values the column has in the associated database.
- is
Result BooleanApplied - A filter to return the discovery result resources based on the value of their isResultApplied attribute.
- key String
- The unique key that identifies the discovery result.
- modified
Attributes 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
- A filter to return only items related to a specific object name.
- object
Type String - The type of the database object that contains the sensitive column.
- parent
Column List<String>Keys - Unique keys identifying the columns that are parents of the sensitive column. At present, it tracks a single parent only.
- planned
Action String - A filter to return only the resources that match the specified planned action.
- relation
Type 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.
- sample
Data List<String>Values - 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 String - A filter to return only items related to specific schema name.
- sensitive
Columnkey String - The unique key that identifies the sensitive column represented by the discovery result.
- sensitive
Type StringId - The OCID of the sensitive type associated with the sensitive column.
GetDiscoveryJobsResultsDiscoveryJobResultCollectionItemModifiedAttribute
- App
Defined List<string>Child Column Keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- Db
Defined List<string>Child Column Keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- App
Defined []stringChild Column Keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- Db
Defined []stringChild Column Keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- app
Defined List<String>Child Column Keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- db
Defined List<String>Child Column Keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- app
Defined string[]Child Column Keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- db
Defined string[]Child Column Keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- app_
defined_ Sequence[str]child_ column_ keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- db_
defined_ Sequence[str]child_ column_ keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
- app
Defined List<String>Child Column Keys - Unique keys identifying the columns that are application-level (non-dictionary) children of the sensitive column.
- db
Defined List<String>Child Column Keys - Unique keys identifying the columns that are database-level (dictionary-defined) children of the sensitive column.
GetDiscoveryJobsResultsFilter
Package Details
- Repository
- oci pulumi/pulumi-oci
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
oci
Terraform Provider.