oci.DataSafe.DiscoveryMod
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This resource provides the Discovery Job resource in Oracle Cloud Infrastructure Data Safe service.
Performs incremental data discovery for the specified sensitive data model. It uses the target database associated with the sensitive data model. After performing data discovery, you can use ListDiscoveryJobResults to view the discovery results, PatchDiscoveryJobResults to specify the action you want perform on these results, and then ApplyDiscoveryJobResults to process the results and apply them to the sensitive data model.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";
const testDiscoveryJob = new oci.datasafe.DiscoveryMod("test_discovery_job", {
compartmentId: compartmentId,
sensitiveDataModelId: testSensitiveDataModel.id,
definedTags: {
"Operations.CostCenter": "42",
},
discoveryType: discoveryJobDiscoveryType,
displayName: discoveryJobDisplayName,
freeformTags: {
Department: "Finance",
},
isAppDefinedRelationDiscoveryEnabled: discoveryJobIsAppDefinedRelationDiscoveryEnabled,
isIncludeAllSchemas: discoveryJobIsIncludeAllSchemas,
isIncludeAllSensitiveTypes: discoveryJobIsIncludeAllSensitiveTypes,
isSampleDataCollectionEnabled: discoveryJobIsSampleDataCollectionEnabled,
schemasForDiscoveries: discoveryJobSchemasForDiscovery,
sensitiveTypeIdsForDiscoveries: discoveryJobSensitiveTypeIdsForDiscovery,
tablesForDiscoveries: [{
schemaName: discoveryJobTablesForDiscoverySchemaName,
tableNames: discoveryJobTablesForDiscoveryTableNames,
}],
});
import pulumi
import pulumi_oci as oci
test_discovery_job = oci.data_safe.DiscoveryMod("test_discovery_job",
compartment_id=compartment_id,
sensitive_data_model_id=test_sensitive_data_model["id"],
defined_tags={
"Operations.CostCenter": "42",
},
discovery_type=discovery_job_discovery_type,
display_name=discovery_job_display_name,
freeform_tags={
"Department": "Finance",
},
is_app_defined_relation_discovery_enabled=discovery_job_is_app_defined_relation_discovery_enabled,
is_include_all_schemas=discovery_job_is_include_all_schemas,
is_include_all_sensitive_types=discovery_job_is_include_all_sensitive_types,
is_sample_data_collection_enabled=discovery_job_is_sample_data_collection_enabled,
schemas_for_discoveries=discovery_job_schemas_for_discovery,
sensitive_type_ids_for_discoveries=discovery_job_sensitive_type_ids_for_discovery,
tables_for_discoveries=[{
"schema_name": discovery_job_tables_for_discovery_schema_name,
"table_names": discovery_job_tables_for_discovery_table_names,
}])
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.NewDiscoveryMod(ctx, "test_discovery_job", &DataSafe.DiscoveryModArgs{
CompartmentId: pulumi.Any(compartmentId),
SensitiveDataModelId: pulumi.Any(testSensitiveDataModel.Id),
DefinedTags: pulumi.StringMap{
"Operations.CostCenter": pulumi.String("42"),
},
DiscoveryType: pulumi.Any(discoveryJobDiscoveryType),
DisplayName: pulumi.Any(discoveryJobDisplayName),
FreeformTags: pulumi.StringMap{
"Department": pulumi.String("Finance"),
},
IsAppDefinedRelationDiscoveryEnabled: pulumi.Any(discoveryJobIsAppDefinedRelationDiscoveryEnabled),
IsIncludeAllSchemas: pulumi.Any(discoveryJobIsIncludeAllSchemas),
IsIncludeAllSensitiveTypes: pulumi.Any(discoveryJobIsIncludeAllSensitiveTypes),
IsSampleDataCollectionEnabled: pulumi.Any(discoveryJobIsSampleDataCollectionEnabled),
SchemasForDiscoveries: pulumi.Any(discoveryJobSchemasForDiscovery),
SensitiveTypeIdsForDiscoveries: pulumi.Any(discoveryJobSensitiveTypeIdsForDiscovery),
TablesForDiscoveries: datasafe.DiscoveryModTablesForDiscoveryArray{
&datasafe.DiscoveryModTablesForDiscoveryArgs{
SchemaName: pulumi.Any(discoveryJobTablesForDiscoverySchemaName),
TableNames: pulumi.Any(discoveryJobTablesForDiscoveryTableNames),
},
},
})
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 testDiscoveryJob = new Oci.DataSafe.DiscoveryMod("test_discovery_job", new()
{
CompartmentId = compartmentId,
SensitiveDataModelId = testSensitiveDataModel.Id,
DefinedTags =
{
{ "Operations.CostCenter", "42" },
},
DiscoveryType = discoveryJobDiscoveryType,
DisplayName = discoveryJobDisplayName,
FreeformTags =
{
{ "Department", "Finance" },
},
IsAppDefinedRelationDiscoveryEnabled = discoveryJobIsAppDefinedRelationDiscoveryEnabled,
IsIncludeAllSchemas = discoveryJobIsIncludeAllSchemas,
IsIncludeAllSensitiveTypes = discoveryJobIsIncludeAllSensitiveTypes,
IsSampleDataCollectionEnabled = discoveryJobIsSampleDataCollectionEnabled,
SchemasForDiscoveries = discoveryJobSchemasForDiscovery,
SensitiveTypeIdsForDiscoveries = discoveryJobSensitiveTypeIdsForDiscovery,
TablesForDiscoveries = new[]
{
new Oci.DataSafe.Inputs.DiscoveryModTablesForDiscoveryArgs
{
SchemaName = discoveryJobTablesForDiscoverySchemaName,
TableNames = discoveryJobTablesForDiscoveryTableNames,
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.DataSafe.DiscoveryMod;
import com.pulumi.oci.DataSafe.DiscoveryModArgs;
import com.pulumi.oci.DataSafe.inputs.DiscoveryModTablesForDiscoveryArgs;
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) {
var testDiscoveryJob = new DiscoveryMod("testDiscoveryJob", DiscoveryModArgs.builder()
.compartmentId(compartmentId)
.sensitiveDataModelId(testSensitiveDataModel.id())
.definedTags(Map.of("Operations.CostCenter", "42"))
.discoveryType(discoveryJobDiscoveryType)
.displayName(discoveryJobDisplayName)
.freeformTags(Map.of("Department", "Finance"))
.isAppDefinedRelationDiscoveryEnabled(discoveryJobIsAppDefinedRelationDiscoveryEnabled)
.isIncludeAllSchemas(discoveryJobIsIncludeAllSchemas)
.isIncludeAllSensitiveTypes(discoveryJobIsIncludeAllSensitiveTypes)
.isSampleDataCollectionEnabled(discoveryJobIsSampleDataCollectionEnabled)
.schemasForDiscoveries(discoveryJobSchemasForDiscovery)
.sensitiveTypeIdsForDiscoveries(discoveryJobSensitiveTypeIdsForDiscovery)
.tablesForDiscoveries(DiscoveryModTablesForDiscoveryArgs.builder()
.schemaName(discoveryJobTablesForDiscoverySchemaName)
.tableNames(discoveryJobTablesForDiscoveryTableNames)
.build())
.build());
}
}
resources:
testDiscoveryJob:
type: oci:DataSafe:DiscoveryMod
name: test_discovery_job
properties:
compartmentId: ${compartmentId}
sensitiveDataModelId: ${testSensitiveDataModel.id}
definedTags:
Operations.CostCenter: '42'
discoveryType: ${discoveryJobDiscoveryType}
displayName: ${discoveryJobDisplayName}
freeformTags:
Department: Finance
isAppDefinedRelationDiscoveryEnabled: ${discoveryJobIsAppDefinedRelationDiscoveryEnabled}
isIncludeAllSchemas: ${discoveryJobIsIncludeAllSchemas}
isIncludeAllSensitiveTypes: ${discoveryJobIsIncludeAllSensitiveTypes}
isSampleDataCollectionEnabled: ${discoveryJobIsSampleDataCollectionEnabled}
schemasForDiscoveries: ${discoveryJobSchemasForDiscovery}
sensitiveTypeIdsForDiscoveries: ${discoveryJobSensitiveTypeIdsForDiscovery}
tablesForDiscoveries:
- schemaName: ${discoveryJobTablesForDiscoverySchemaName}
tableNames: ${discoveryJobTablesForDiscoveryTableNames}
Create DiscoveryMod Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new DiscoveryMod(name: string, args: DiscoveryModArgs, opts?: CustomResourceOptions);
@overload
def DiscoveryMod(resource_name: str,
args: DiscoveryModArgs,
opts: Optional[ResourceOptions] = None)
@overload
def DiscoveryMod(resource_name: str,
opts: Optional[ResourceOptions] = None,
compartment_id: Optional[str] = None,
sensitive_data_model_id: Optional[str] = None,
is_include_all_schemas: Optional[bool] = None,
display_name: Optional[str] = None,
freeform_tags: Optional[Mapping[str, str]] = None,
is_app_defined_relation_discovery_enabled: Optional[bool] = None,
discovery_type: Optional[str] = None,
is_include_all_sensitive_types: Optional[bool] = None,
is_sample_data_collection_enabled: Optional[bool] = None,
schemas_for_discoveries: Optional[Sequence[str]] = None,
defined_tags: Optional[Mapping[str, str]] = None,
sensitive_type_ids_for_discoveries: Optional[Sequence[str]] = None,
tables_for_discoveries: Optional[Sequence[_datasafe.DiscoveryModTablesForDiscoveryArgs]] = None)
func NewDiscoveryMod(ctx *Context, name string, args DiscoveryModArgs, opts ...ResourceOption) (*DiscoveryMod, error)
public DiscoveryMod(string name, DiscoveryModArgs args, CustomResourceOptions? opts = null)
public DiscoveryMod(String name, DiscoveryModArgs args)
public DiscoveryMod(String name, DiscoveryModArgs args, CustomResourceOptions options)
type: oci:DataSafe:DiscoveryMod
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args DiscoveryModArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args DiscoveryModArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args DiscoveryModArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DiscoveryModArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DiscoveryModArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var discoveryModResource = new Oci.DataSafe.DiscoveryMod("discoveryModResource", new()
{
CompartmentId = "string",
SensitiveDataModelId = "string",
IsIncludeAllSchemas = false,
DisplayName = "string",
FreeformTags =
{
{ "string", "string" },
},
IsAppDefinedRelationDiscoveryEnabled = false,
DiscoveryType = "string",
IsIncludeAllSensitiveTypes = false,
IsSampleDataCollectionEnabled = false,
SchemasForDiscoveries = new[]
{
"string",
},
DefinedTags =
{
{ "string", "string" },
},
SensitiveTypeIdsForDiscoveries = new[]
{
"string",
},
TablesForDiscoveries = new[]
{
new Oci.DataSafe.Inputs.DiscoveryModTablesForDiscoveryArgs
{
SchemaName = "string",
TableNames = new[]
{
"string",
},
},
},
});
example, err := DataSafe.NewDiscoveryMod(ctx, "discoveryModResource", &DataSafe.DiscoveryModArgs{
CompartmentId: pulumi.String("string"),
SensitiveDataModelId: pulumi.String("string"),
IsIncludeAllSchemas: pulumi.Bool(false),
DisplayName: pulumi.String("string"),
FreeformTags: pulumi.StringMap{
"string": pulumi.String("string"),
},
IsAppDefinedRelationDiscoveryEnabled: pulumi.Bool(false),
DiscoveryType: pulumi.String("string"),
IsIncludeAllSensitiveTypes: pulumi.Bool(false),
IsSampleDataCollectionEnabled: pulumi.Bool(false),
SchemasForDiscoveries: pulumi.StringArray{
pulumi.String("string"),
},
DefinedTags: pulumi.StringMap{
"string": pulumi.String("string"),
},
SensitiveTypeIdsForDiscoveries: pulumi.StringArray{
pulumi.String("string"),
},
TablesForDiscoveries: datasafe.DiscoveryModTablesForDiscoveryArray{
&datasafe.DiscoveryModTablesForDiscoveryArgs{
SchemaName: pulumi.String("string"),
TableNames: pulumi.StringArray{
pulumi.String("string"),
},
},
},
})
var discoveryModResource = new DiscoveryMod("discoveryModResource", DiscoveryModArgs.builder()
.compartmentId("string")
.sensitiveDataModelId("string")
.isIncludeAllSchemas(false)
.displayName("string")
.freeformTags(Map.of("string", "string"))
.isAppDefinedRelationDiscoveryEnabled(false)
.discoveryType("string")
.isIncludeAllSensitiveTypes(false)
.isSampleDataCollectionEnabled(false)
.schemasForDiscoveries("string")
.definedTags(Map.of("string", "string"))
.sensitiveTypeIdsForDiscoveries("string")
.tablesForDiscoveries(DiscoveryModTablesForDiscoveryArgs.builder()
.schemaName("string")
.tableNames("string")
.build())
.build());
discovery_mod_resource = oci.data_safe.DiscoveryMod("discoveryModResource",
compartment_id="string",
sensitive_data_model_id="string",
is_include_all_schemas=False,
display_name="string",
freeform_tags={
"string": "string",
},
is_app_defined_relation_discovery_enabled=False,
discovery_type="string",
is_include_all_sensitive_types=False,
is_sample_data_collection_enabled=False,
schemas_for_discoveries=["string"],
defined_tags={
"string": "string",
},
sensitive_type_ids_for_discoveries=["string"],
tables_for_discoveries=[{
"schema_name": "string",
"table_names": ["string"],
}])
const discoveryModResource = new oci.datasafe.DiscoveryMod("discoveryModResource", {
compartmentId: "string",
sensitiveDataModelId: "string",
isIncludeAllSchemas: false,
displayName: "string",
freeformTags: {
string: "string",
},
isAppDefinedRelationDiscoveryEnabled: false,
discoveryType: "string",
isIncludeAllSensitiveTypes: false,
isSampleDataCollectionEnabled: false,
schemasForDiscoveries: ["string"],
definedTags: {
string: "string",
},
sensitiveTypeIdsForDiscoveries: ["string"],
tablesForDiscoveries: [{
schemaName: "string",
tableNames: ["string"],
}],
});
type: oci:DataSafe:DiscoveryMod
properties:
compartmentId: string
definedTags:
string: string
discoveryType: string
displayName: string
freeformTags:
string: string
isAppDefinedRelationDiscoveryEnabled: false
isIncludeAllSchemas: false
isIncludeAllSensitiveTypes: false
isSampleDataCollectionEnabled: false
schemasForDiscoveries:
- string
sensitiveDataModelId: string
sensitiveTypeIdsForDiscoveries:
- string
tablesForDiscoveries:
- schemaName: string
tableNames:
- string
DiscoveryMod Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The DiscoveryMod resource accepts the following input properties:
- Compartment
Id string - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- Sensitive
Data stringModel Id - The OCID of the sensitive data model.
- Dictionary<string, string>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- Discovery
Type string - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- Display
Name string - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- Dictionary<string, string>
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- Is
App boolDefined Relation Discovery Enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- Is
Include boolAll Schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- Is
Include boolAll Sensitive Types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- Is
Sample boolData Collection Enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- Schemas
For List<string>Discoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- Sensitive
Type List<string>Ids For Discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- Tables
For List<DiscoveryDiscoveries Mod Tables For Discovery> - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- Compartment
Id string - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- Sensitive
Data stringModel Id - The OCID of the sensitive data model.
- map[string]string
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- Discovery
Type string - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- Display
Name string - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- map[string]string
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- Is
App boolDefined Relation Discovery Enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- Is
Include boolAll Schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- Is
Include boolAll Sensitive Types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- Is
Sample boolData Collection Enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- Schemas
For []stringDiscoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- Sensitive
Type []stringIds For Discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- Tables
For []DiscoveryDiscoveries Mod Tables For Discovery Args - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- compartment
Id String - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- sensitive
Data StringModel Id - The OCID of the sensitive data model.
- Map<String,String>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- discovery
Type String - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- display
Name String - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- Map<String,String>
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- is
App BooleanDefined Relation Discovery Enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- is
Include BooleanAll Schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Include BooleanAll Sensitive Types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Sample BooleanData Collection Enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- schemas
For List<String>Discoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- sensitive
Type List<String>Ids For Discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- tables
For List<DiscoveryDiscoveries Mod Tables For Discovery> - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- compartment
Id string - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- sensitive
Data stringModel Id - The OCID of the sensitive data model.
- {[key: string]: string}
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- discovery
Type string - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- display
Name string - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- {[key: string]: string}
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- is
App booleanDefined Relation Discovery Enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- is
Include booleanAll Schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Include booleanAll Sensitive Types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Sample booleanData Collection Enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- schemas
For string[]Discoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- sensitive
Type string[]Ids For Discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- tables
For DiscoveryDiscoveries Mod Tables For Discovery[] - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- compartment_
id str - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- sensitive_
data_ strmodel_ id - The OCID of the sensitive data model.
- Mapping[str, str]
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- discovery_
type str - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- display_
name str - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- Mapping[str, str]
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- is_
app_ booldefined_ relation_ discovery_ enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- is_
include_ boolall_ schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- is_
include_ boolall_ sensitive_ types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- is_
sample_ booldata_ collection_ enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- schemas_
for_ Sequence[str]discoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- sensitive_
type_ Sequence[str]ids_ for_ discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- tables_
for_ Sequence[datasafe.discoveries Discovery Mod Tables For Discovery Args] - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- compartment
Id String - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- sensitive
Data StringModel Id - The OCID of the sensitive data model.
- Map<String>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- discovery
Type String - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- display
Name String - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- Map<String>
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- is
App BooleanDefined Relation Discovery Enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- is
Include BooleanAll Schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Include BooleanAll Sensitive Types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Sample BooleanData Collection Enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- schemas
For List<String>Discoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- sensitive
Type List<String>Ids For Discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- tables
For List<Property Map>Discoveries - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
Outputs
All input properties are implicitly available as output properties. Additionally, the DiscoveryMod resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- State string
- The current state of the discovery job.
- Dictionary<string, string>
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- Target
Id string - The OCID of the target database associated with the discovery job.
- Time
Finished string - The date and time the discovery job finished, in the format defined by RFC3339..
- Time
Started string - The date and time the discovery job started, in the format defined by RFC3339.
- Total
Columns stringScanned - The total number of columns scanned by the discovery job.
- Total
Deleted stringSensitive Columns - The total number of deleted sensitive columns identified by the discovery job.
- Total
Modified stringSensitive Columns - The total number of modified sensitive columns identified by the discovery job.
- Total
New stringSensitive Columns - The total number of new sensitive columns identified by the discovery job.
- Total
Objects stringScanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- Total
Schemas stringScanned - The total number of schemas scanned by the discovery job.
- Id string
- The provider-assigned unique ID for this managed resource.
- State string
- The current state of the discovery job.
- map[string]string
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- Target
Id string - The OCID of the target database associated with the discovery job.
- Time
Finished string - The date and time the discovery job finished, in the format defined by RFC3339..
- Time
Started string - The date and time the discovery job started, in the format defined by RFC3339.
- Total
Columns stringScanned - The total number of columns scanned by the discovery job.
- Total
Deleted stringSensitive Columns - The total number of deleted sensitive columns identified by the discovery job.
- Total
Modified stringSensitive Columns - The total number of modified sensitive columns identified by the discovery job.
- Total
New stringSensitive Columns - The total number of new sensitive columns identified by the discovery job.
- Total
Objects stringScanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- Total
Schemas stringScanned - The total number of schemas scanned by the discovery job.
- id String
- The provider-assigned unique ID for this managed resource.
- state String
- The current state of the discovery job.
- Map<String,String>
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- target
Id String - The OCID of the target database associated with the discovery job.
- time
Finished String - The date and time the discovery job finished, in the format defined by RFC3339..
- time
Started String - The date and time the discovery job started, in the format defined by RFC3339.
- total
Columns StringScanned - The total number of columns scanned by the discovery job.
- total
Deleted StringSensitive Columns - The total number of deleted sensitive columns identified by the discovery job.
- total
Modified StringSensitive Columns - The total number of modified sensitive columns identified by the discovery job.
- total
New StringSensitive Columns - The total number of new sensitive columns identified by the discovery job.
- total
Objects StringScanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- total
Schemas StringScanned - The total number of schemas scanned by the discovery job.
- id string
- The provider-assigned unique ID for this managed resource.
- state string
- The current state of the discovery job.
- {[key: string]: string}
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- target
Id string - The OCID of the target database associated with the discovery job.
- time
Finished string - The date and time the discovery job finished, in the format defined by RFC3339..
- time
Started string - The date and time the discovery job started, in the format defined by RFC3339.
- total
Columns stringScanned - The total number of columns scanned by the discovery job.
- total
Deleted stringSensitive Columns - The total number of deleted sensitive columns identified by the discovery job.
- total
Modified stringSensitive Columns - The total number of modified sensitive columns identified by the discovery job.
- total
New stringSensitive Columns - The total number of new sensitive columns identified by the discovery job.
- total
Objects stringScanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- total
Schemas stringScanned - The total number of schemas scanned by the discovery job.
- id str
- The provider-assigned unique ID for this managed resource.
- state str
- The current state of the discovery job.
- Mapping[str, str]
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- target_
id str - The OCID of the target database associated with the discovery job.
- time_
finished str - The date and time the discovery job finished, in the format defined by RFC3339..
- time_
started str - The date and time the discovery job started, in the format defined by RFC3339.
- total_
columns_ strscanned - The total number of columns scanned by the discovery job.
- total_
deleted_ strsensitive_ columns - The total number of deleted sensitive columns identified by the discovery job.
- total_
modified_ strsensitive_ columns - The total number of modified sensitive columns identified by the discovery job.
- total_
new_ strsensitive_ columns - The total number of new sensitive columns identified by the discovery job.
- total_
objects_ strscanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- total_
schemas_ strscanned - The total number of schemas scanned by the discovery job.
- id String
- The provider-assigned unique ID for this managed resource.
- state String
- The current state of the discovery job.
- Map<String>
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- target
Id String - The OCID of the target database associated with the discovery job.
- time
Finished String - The date and time the discovery job finished, in the format defined by RFC3339..
- time
Started String - The date and time the discovery job started, in the format defined by RFC3339.
- total
Columns StringScanned - The total number of columns scanned by the discovery job.
- total
Deleted StringSensitive Columns - The total number of deleted sensitive columns identified by the discovery job.
- total
Modified StringSensitive Columns - The total number of modified sensitive columns identified by the discovery job.
- total
New StringSensitive Columns - The total number of new sensitive columns identified by the discovery job.
- total
Objects StringScanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- total
Schemas StringScanned - The total number of schemas scanned by the discovery job.
Look up Existing DiscoveryMod Resource
Get an existing DiscoveryMod resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: DiscoveryModState, opts?: CustomResourceOptions): DiscoveryMod
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
compartment_id: Optional[str] = None,
defined_tags: Optional[Mapping[str, str]] = None,
discovery_type: Optional[str] = None,
display_name: Optional[str] = None,
freeform_tags: Optional[Mapping[str, str]] = None,
is_app_defined_relation_discovery_enabled: Optional[bool] = None,
is_include_all_schemas: Optional[bool] = None,
is_include_all_sensitive_types: Optional[bool] = None,
is_sample_data_collection_enabled: Optional[bool] = None,
schemas_for_discoveries: Optional[Sequence[str]] = None,
sensitive_data_model_id: Optional[str] = None,
sensitive_type_ids_for_discoveries: Optional[Sequence[str]] = None,
state: Optional[str] = None,
system_tags: Optional[Mapping[str, str]] = None,
tables_for_discoveries: Optional[Sequence[_datasafe.DiscoveryModTablesForDiscoveryArgs]] = None,
target_id: Optional[str] = None,
time_finished: Optional[str] = None,
time_started: Optional[str] = None,
total_columns_scanned: Optional[str] = None,
total_deleted_sensitive_columns: Optional[str] = None,
total_modified_sensitive_columns: Optional[str] = None,
total_new_sensitive_columns: Optional[str] = None,
total_objects_scanned: Optional[str] = None,
total_schemas_scanned: Optional[str] = None) -> DiscoveryMod
func GetDiscoveryMod(ctx *Context, name string, id IDInput, state *DiscoveryModState, opts ...ResourceOption) (*DiscoveryMod, error)
public static DiscoveryMod Get(string name, Input<string> id, DiscoveryModState? state, CustomResourceOptions? opts = null)
public static DiscoveryMod get(String name, Output<String> id, DiscoveryModState state, CustomResourceOptions options)
Resource lookup is not supported in YAML
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Compartment
Id string - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- Dictionary<string, string>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- Discovery
Type string - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- Display
Name string - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- Dictionary<string, string>
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- Is
App boolDefined Relation Discovery Enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- Is
Include boolAll Schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- Is
Include boolAll Sensitive Types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- Is
Sample boolData Collection Enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- Schemas
For List<string>Discoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- Sensitive
Data stringModel Id - The OCID of the sensitive data model.
- Sensitive
Type List<string>Ids For Discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- State string
- The current state of the discovery job.
- Dictionary<string, string>
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- Tables
For List<DiscoveryDiscoveries Mod Tables For Discovery> - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- Target
Id string - The OCID of the target database associated with the discovery job.
- Time
Finished string - The date and time the discovery job finished, in the format defined by RFC3339..
- Time
Started string - The date and time the discovery job started, in the format defined by RFC3339.
- Total
Columns stringScanned - The total number of columns scanned by the discovery job.
- Total
Deleted stringSensitive Columns - The total number of deleted sensitive columns identified by the discovery job.
- Total
Modified stringSensitive Columns - The total number of modified sensitive columns identified by the discovery job.
- Total
New stringSensitive Columns - The total number of new sensitive columns identified by the discovery job.
- Total
Objects stringScanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- Total
Schemas stringScanned - The total number of schemas scanned by the discovery job.
- Compartment
Id string - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- map[string]string
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- Discovery
Type string - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- Display
Name string - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- map[string]string
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- Is
App boolDefined Relation Discovery Enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- Is
Include boolAll Schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- Is
Include boolAll Sensitive Types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- Is
Sample boolData Collection Enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- Schemas
For []stringDiscoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- Sensitive
Data stringModel Id - The OCID of the sensitive data model.
- Sensitive
Type []stringIds For Discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- State string
- The current state of the discovery job.
- map[string]string
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- Tables
For []DiscoveryDiscoveries Mod Tables For Discovery Args - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- Target
Id string - The OCID of the target database associated with the discovery job.
- Time
Finished string - The date and time the discovery job finished, in the format defined by RFC3339..
- Time
Started string - The date and time the discovery job started, in the format defined by RFC3339.
- Total
Columns stringScanned - The total number of columns scanned by the discovery job.
- Total
Deleted stringSensitive Columns - The total number of deleted sensitive columns identified by the discovery job.
- Total
Modified stringSensitive Columns - The total number of modified sensitive columns identified by the discovery job.
- Total
New stringSensitive Columns - The total number of new sensitive columns identified by the discovery job.
- Total
Objects stringScanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- Total
Schemas stringScanned - The total number of schemas scanned by the discovery job.
- compartment
Id String - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- Map<String,String>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- discovery
Type String - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- display
Name String - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- Map<String,String>
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- is
App BooleanDefined Relation Discovery Enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- is
Include BooleanAll Schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Include BooleanAll Sensitive Types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Sample BooleanData Collection Enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- schemas
For List<String>Discoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- sensitive
Data StringModel Id - The OCID of the sensitive data model.
- sensitive
Type List<String>Ids For Discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- state String
- The current state of the discovery job.
- Map<String,String>
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- tables
For List<DiscoveryDiscoveries Mod Tables For Discovery> - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- target
Id String - The OCID of the target database associated with the discovery job.
- time
Finished String - The date and time the discovery job finished, in the format defined by RFC3339..
- time
Started String - The date and time the discovery job started, in the format defined by RFC3339.
- total
Columns StringScanned - The total number of columns scanned by the discovery job.
- total
Deleted StringSensitive Columns - The total number of deleted sensitive columns identified by the discovery job.
- total
Modified StringSensitive Columns - The total number of modified sensitive columns identified by the discovery job.
- total
New StringSensitive Columns - The total number of new sensitive columns identified by the discovery job.
- total
Objects StringScanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- total
Schemas StringScanned - The total number of schemas scanned by the discovery job.
- compartment
Id string - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- {[key: string]: string}
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- discovery
Type string - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- display
Name string - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- {[key: string]: string}
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- is
App booleanDefined Relation Discovery Enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- is
Include booleanAll Schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Include booleanAll Sensitive Types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Sample booleanData Collection Enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- schemas
For string[]Discoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- sensitive
Data stringModel Id - The OCID of the sensitive data model.
- sensitive
Type string[]Ids For Discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- state string
- The current state of the discovery job.
- {[key: string]: string}
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- tables
For DiscoveryDiscoveries Mod Tables For Discovery[] - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- target
Id string - The OCID of the target database associated with the discovery job.
- time
Finished string - The date and time the discovery job finished, in the format defined by RFC3339..
- time
Started string - The date and time the discovery job started, in the format defined by RFC3339.
- total
Columns stringScanned - The total number of columns scanned by the discovery job.
- total
Deleted stringSensitive Columns - The total number of deleted sensitive columns identified by the discovery job.
- total
Modified stringSensitive Columns - The total number of modified sensitive columns identified by the discovery job.
- total
New stringSensitive Columns - The total number of new sensitive columns identified by the discovery job.
- total
Objects stringScanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- total
Schemas stringScanned - The total number of schemas scanned by the discovery job.
- compartment_
id str - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- Mapping[str, str]
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- discovery_
type str - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- display_
name str - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- Mapping[str, str]
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- is_
app_ booldefined_ relation_ discovery_ enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- is_
include_ boolall_ schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- is_
include_ boolall_ sensitive_ types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- is_
sample_ booldata_ collection_ enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- schemas_
for_ Sequence[str]discoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- sensitive_
data_ strmodel_ id - The OCID of the sensitive data model.
- sensitive_
type_ Sequence[str]ids_ for_ discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- state str
- The current state of the discovery job.
- Mapping[str, str]
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- tables_
for_ Sequence[datasafe.discoveries Discovery Mod Tables For Discovery Args] - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- target_
id str - The OCID of the target database associated with the discovery job.
- time_
finished str - The date and time the discovery job finished, in the format defined by RFC3339..
- time_
started str - The date and time the discovery job started, in the format defined by RFC3339.
- total_
columns_ strscanned - The total number of columns scanned by the discovery job.
- total_
deleted_ strsensitive_ columns - The total number of deleted sensitive columns identified by the discovery job.
- total_
modified_ strsensitive_ columns - The total number of modified sensitive columns identified by the discovery job.
- total_
new_ strsensitive_ columns - The total number of new sensitive columns identified by the discovery job.
- total_
objects_ strscanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- total_
schemas_ strscanned - The total number of schemas scanned by the discovery job.
- compartment
Id String - (Updatable) The OCID of the compartment where the discovery job resource should be created.
- Map<String>
- Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags Example:
{"Operations.CostCenter": "42"}
- discovery
Type String - The type of the discovery job. It defines the job's scope. NEW identifies new sensitive columns in the target database that are not in the sensitive data model. DELETED identifies columns that are present in the sensitive data model but have been deleted from the target database. MODIFIED identifies columns that are present in the target database as well as the sensitive data model but some of their attributes have been modified. ALL covers all the above three scenarios and reports new, deleted and modified columns.
- display
Name String - A user-friendly name for the discovery job. Does not have to be unique, and it is changeable. Avoid entering confidential information.
- Map<String>
- Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags Example:
{"Department": "Finance"}
- is
App BooleanDefined Relation Discovery Enabled - Indicates if the discovery job should identify potential application-level (non-dictionary) referential relationships between columns. Note that data discovery automatically identifies and adds database-level (dictionary-defined) relationships. This option helps identify application-level relationships that are not defined in the database dictionary, which in turn, helps identify additional sensitive columns and preserve referential integrity during data masking. It's disabled by default and should be used only if there is a need to identify application-level relationships.
- is
Include BooleanAll Schemas - Indicates if all the schemas should be scanned by the discovery job. If it is set to true, sensitive data is discovered in all schemas (except for schemas maintained by Oracle). If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Include BooleanAll Sensitive Types - Indicates if all the existing sensitive types should be used by the discovery job. If it's set to true, the sensitiveTypeIdsForDiscovery attribute is ignored and all sensitive types are used for data discovery. If both attributes are not provided, the configuration from the sensitive data model is used.
- is
Sample BooleanData Collection Enabled - Indicates if the discovery job should collect and store sample data values for the discovered columns. Sample data helps review the discovered columns and ensure that they actually contain sensitive data. As it collects original data from the target database, it's disabled by default and should be used only if it's acceptable to store sample data in Data Safe's repository in Oracle Cloud. Note that sample data values are not collected for columns with the following data types: LONG, LOB, RAW, XMLTYPE and BFILE.
- schemas
For List<String>Discoveries - The schemas to be scanned by the discovery job. If not provided, the schemasForDiscovery attribute of the sensitive data model is used to get the list of schemas.
- sensitive
Data StringModel Id - The OCID of the sensitive data model.
- sensitive
Type List<String>Ids For Discoveries - The OCIDs of the sensitive types to be used by the discovery job. If not provided, the sensitiveTypeIdsForDiscovery attribute of the sensitive data model is used to get the list of sensitive types.
- state String
- The current state of the discovery job.
- Map<String>
- System tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example:
{"orcl-cloud.free-tier-retained": "true"}
- tables
For List<Property Map>Discoveries - The data discovery jobs will scan the tables specified here, including both schemas and tables. In the absence of explicit input, the list of tables is obtained from the tablesForDiscovery attribute of the sensitive data model.
- target
Id String - The OCID of the target database associated with the discovery job.
- time
Finished String - The date and time the discovery job finished, in the format defined by RFC3339..
- time
Started String - The date and time the discovery job started, in the format defined by RFC3339.
- total
Columns StringScanned - The total number of columns scanned by the discovery job.
- total
Deleted StringSensitive Columns - The total number of deleted sensitive columns identified by the discovery job.
- total
Modified StringSensitive Columns - The total number of modified sensitive columns identified by the discovery job.
- total
New StringSensitive Columns - The total number of new sensitive columns identified by the discovery job.
- total
Objects StringScanned - The total number of objects (tables and editioning views) scanned by the discovery job.
- total
Schemas StringScanned - The total number of schemas scanned by the discovery job.
Supporting Types
DiscoveryModTablesForDiscovery, DiscoveryModTablesForDiscoveryArgs
- Schema
Name string - This contains the name of the schema.
- Table
Names List<string> This contains an optional list of the table names.
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- Schema
Name string - This contains the name of the schema.
- Table
Names []string This contains an optional list of the table names.
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- schema
Name String - This contains the name of the schema.
- table
Names List<String> This contains an optional list of the table names.
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- schema
Name string - This contains the name of the schema.
- table
Names string[] This contains an optional list of the table names.
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- schema_
name str - This contains the name of the schema.
- table_
names Sequence[str] This contains an optional list of the table names.
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
- schema
Name String - This contains the name of the schema.
- table
Names List<String> This contains an optional list of the table names.
** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values
Import
DiscoveryJobs can be imported using the id
, e.g.
$ pulumi import oci:DataSafe/discoveryMod:DiscoveryMod test_discovery_job "id"
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- oci pulumi/pulumi-oci
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
oci
Terraform Provider.