CfnIdNamespace
- class aws_cdk.aws_entityresolution.CfnIdNamespace(scope, id, *, id_namespace_name, type, description=None, id_mapping_workflow_properties=None, input_source_config=None, role_arn=None, tags=None)
Bases:
CfnResource
Creates an ID namespace object which will help customers provide metadata explaining their dataset and how to use it.
Each ID namespace must have a unique name. To modify an existing ID namespace, use the
UpdateIdNamespace
API.- See:
- CloudformationResource:
AWS::EntityResolution::IdNamespace
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_entityresolution as entityresolution cfn_id_namespace = entityresolution.CfnIdNamespace(self, "MyCfnIdNamespace", id_namespace_name="idNamespaceName", type="type", # the properties below are optional description="description", id_mapping_workflow_properties=[entityresolution.CfnIdNamespace.IdNamespaceIdMappingWorkflowPropertiesProperty( id_mapping_type="idMappingType", # the properties below are optional provider_properties=entityresolution.CfnIdNamespace.NamespaceProviderPropertiesProperty( provider_service_arn="providerServiceArn", # the properties below are optional provider_configuration={ "provider_configuration_key": "providerConfiguration" } ), rule_based_properties=entityresolution.CfnIdNamespace.NamespaceRuleBasedPropertiesProperty( attribute_matching_model="attributeMatchingModel", record_matching_models=["recordMatchingModels"], rule_definition_types=["ruleDefinitionTypes"], rules=[entityresolution.CfnIdNamespace.RuleProperty( matching_keys=["matchingKeys"], rule_name="ruleName" )] ) )], input_source_config=[entityresolution.CfnIdNamespace.IdNamespaceInputSourceProperty( input_source_arn="inputSourceArn", # the properties below are optional schema_name="schemaName" )], role_arn="roleArn", tags=[CfnTag( key="key", value="value" )] )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).id_namespace_name (
str
) – The name of the ID namespace.type (
str
) – The type of ID namespace. There are two types:SOURCE
andTARGET
. TheSOURCE
contains configurations forsourceId
data that will be processed in an ID mapping workflow. TheTARGET
contains a configuration oftargetId
which allsourceIds
will resolve to.description (
Optional
[str
]) – The description of the ID namespace.id_mapping_workflow_properties (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,IdNamespaceIdMappingWorkflowPropertiesProperty
,Dict
[str
,Any
]]],None
]) – Determines the properties ofIdMappingWorflow
where thisIdNamespace
can be used as aSource
or aTarget
.input_source_config (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,IdNamespaceInputSourceProperty
,Dict
[str
,Any
]]],None
]) – A list ofInputSource
objects, which have the fieldsInputSourceARN
andSchemaName
.role_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) of the IAM role. AWS Entity Resolution assumes this role to access the resources defined in thisIdNamespace
on your behalf as part of the workflow run.tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – The tags used to organize, track, or control access for this resource.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_dependency(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource
) –- Deprecated:
use addDependency
- Stability:
deprecated
- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT
). A list of resources that support this policy can be found in the following link:- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.type_hint (
Optional
[ResolutionTypeHint
]) –
- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) – tree inspector to collect and process attributes.- Return type:
None
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List
[Union
[Stack
,CfnResource
]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List
[CfnResource
]
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource
) – The dependency to replace.new_target (
CfnResource
) – The new dependency to add.
- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::EntityResolution::IdNamespace'
- attr_created_at
The date and time when the IdNamespace was created.
- CloudformationAttribute:
CreatedAt
- attr_id_namespace_arn
The arn associated with the IdNamespace.
- CloudformationAttribute:
IdNamespaceArn
- attr_updated_at
The date and time when the IdNamespace was updated.
- CloudformationAttribute:
UpdatedAt
- cdk_tag_manager
Tag Manager which manages the tags for this resource.
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- description
The description of the ID namespace.
- id_mapping_workflow_properties
Determines the properties of
IdMappingWorflow
where thisIdNamespace
can be used as aSource
or aTarget
.
- id_namespace_name
The name of the ID namespace.
- input_source_config
A list of
InputSource
objects, which have the fieldsInputSourceARN
andSchemaName
.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- node
The tree node.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- role_arn
The Amazon Resource Name (ARN) of the IAM role.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- tags
The tags used to organize, track, or control access for this resource.
- type
The type of ID namespace.
There are two types:
SOURCE
andTARGET
.
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any
) –- Return type:
bool
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, and using this type-testing method instead.- Parameters:
x (
Any
) – Any object.- Return type:
bool
- Returns:
true if
x
is an object created from a class which extendsConstruct
.
IdNamespaceIdMappingWorkflowPropertiesProperty
- class CfnIdNamespace.IdNamespaceIdMappingWorkflowPropertiesProperty(*, id_mapping_type, provider_properties=None, rule_based_properties=None)
Bases:
object
An object containing
IdMappingType
,ProviderProperties
, andRuleBasedProperties
.- Parameters:
id_mapping_type (
str
) – The type of ID mapping.provider_properties (
Union
[IResolvable
,NamespaceProviderPropertiesProperty
,Dict
[str
,Any
],None
]) – An object which defines any additional configurations required by the provider service.rule_based_properties (
Union
[IResolvable
,NamespaceRuleBasedPropertiesProperty
,Dict
[str
,Any
],None
]) – An object which defines any additional configurations required by rule-based matching.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_entityresolution as entityresolution id_namespace_id_mapping_workflow_properties_property = entityresolution.CfnIdNamespace.IdNamespaceIdMappingWorkflowPropertiesProperty( id_mapping_type="idMappingType", # the properties below are optional provider_properties=entityresolution.CfnIdNamespace.NamespaceProviderPropertiesProperty( provider_service_arn="providerServiceArn", # the properties below are optional provider_configuration={ "provider_configuration_key": "providerConfiguration" } ), rule_based_properties=entityresolution.CfnIdNamespace.NamespaceRuleBasedPropertiesProperty( attribute_matching_model="attributeMatchingModel", record_matching_models=["recordMatchingModels"], rule_definition_types=["ruleDefinitionTypes"], rules=[entityresolution.CfnIdNamespace.RuleProperty( matching_keys=["matchingKeys"], rule_name="ruleName" )] ) )
Attributes
- id_mapping_type
The type of ID mapping.
- provider_properties
An object which defines any additional configurations required by the provider service.
- rule_based_properties
An object which defines any additional configurations required by rule-based matching.
IdNamespaceInputSourceProperty
- class CfnIdNamespace.IdNamespaceInputSourceProperty(*, input_source_arn, schema_name=None)
Bases:
object
An object containing
InputSourceARN
andSchemaName
.- Parameters:
input_source_arn (
str
) – An AWS Glue table Amazon Resource Name (ARN) or a matching workflow ARN for the input source table.schema_name (
Optional
[str
]) – The name of the schema.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_entityresolution as entityresolution id_namespace_input_source_property = entityresolution.CfnIdNamespace.IdNamespaceInputSourceProperty( input_source_arn="inputSourceArn", # the properties below are optional schema_name="schemaName" )
Attributes
- input_source_arn
An AWS Glue table Amazon Resource Name (ARN) or a matching workflow ARN for the input source table.
NamespaceProviderPropertiesProperty
- class CfnIdNamespace.NamespaceProviderPropertiesProperty(*, provider_service_arn, provider_configuration=None)
Bases:
object
An object containing
ProviderConfiguration
andProviderServiceArn
.- Parameters:
provider_service_arn (
str
) – The Amazon Resource Name (ARN) of the provider service.provider_configuration (
Union
[Mapping
[str
,str
],IResolvable
,None
]) – An object which defines any additional configurations required by the provider service.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_entityresolution as entityresolution namespace_provider_properties_property = entityresolution.CfnIdNamespace.NamespaceProviderPropertiesProperty( provider_service_arn="providerServiceArn", # the properties below are optional provider_configuration={ "provider_configuration_key": "providerConfiguration" } )
Attributes
- provider_configuration
An object which defines any additional configurations required by the provider service.
- provider_service_arn
The Amazon Resource Name (ARN) of the provider service.
NamespaceRuleBasedPropertiesProperty
- class CfnIdNamespace.NamespaceRuleBasedPropertiesProperty(*, attribute_matching_model=None, record_matching_models=None, rule_definition_types=None, rules=None)
Bases:
object
The rule-based properties of an ID namespace.
These properties define how the ID namespace can be used in an ID mapping workflow.
- Parameters:
attribute_matching_model (
Optional
[str
]) – The comparison type. You can either chooseONE_TO_ONE
orMANY_TO_MANY
as theattributeMatchingModel
. If you chooseMANY_TO_MANY
, the system can match attributes across the sub-types of an attribute type. For example, if the value of theEmail
field of Profile A matches the value ofBusinessEmail
field of Profile B, the two profiles are matched on theEmail
attribute type. If you chooseONE_TO_ONE
, the system can only match attributes if the sub-types are an exact match. For example, for theEmail
attribute type, the system will only consider it a match if the value of theEmail
field of Profile A matches the value of theEmail
field of Profile B.record_matching_models (
Optional
[Sequence
[str
]]) – The type of matching record that is allowed to be used in an ID mapping workflow. If the value is set toONE_SOURCE_TO_ONE_TARGET
, only one record in the source is matched to one record in the target. If the value is set toMANY_SOURCE_TO_ONE_TARGET
, all matching records in the source are matched to one record in the target.rule_definition_types (
Optional
[Sequence
[str
]]) – The sets of rules you can use in an ID mapping workflow. The limitations specified for the source and target must be compatible.rules (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,RuleProperty
,Dict
[str
,Any
]]],None
]) – The rules for the ID namespace.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_entityresolution as entityresolution namespace_rule_based_properties_property = entityresolution.CfnIdNamespace.NamespaceRuleBasedPropertiesProperty( attribute_matching_model="attributeMatchingModel", record_matching_models=["recordMatchingModels"], rule_definition_types=["ruleDefinitionTypes"], rules=[entityresolution.CfnIdNamespace.RuleProperty( matching_keys=["matchingKeys"], rule_name="ruleName" )] )
Attributes
- attribute_matching_model
The comparison type. You can either choose
ONE_TO_ONE
orMANY_TO_MANY
as theattributeMatchingModel
.If you choose
MANY_TO_MANY
, the system can match attributes across the sub-types of an attribute type. For example, if the value of theEmail
field of Profile A matches the value ofBusinessEmail
field of Profile B, the two profiles are matched on theEmail
attribute type.If you choose
ONE_TO_ONE
, the system can only match attributes if the sub-types are an exact match. For example, for theEmail
attribute type, the system will only consider it a match if the value of theEmail
field of Profile A matches the value of theEmail
field of Profile B.
- record_matching_models
The type of matching record that is allowed to be used in an ID mapping workflow.
If the value is set to
ONE_SOURCE_TO_ONE_TARGET
, only one record in the source is matched to one record in the target.If the value is set to
MANY_SOURCE_TO_ONE_TARGET
, all matching records in the source are matched to one record in the target.
- rule_definition_types
The sets of rules you can use in an ID mapping workflow.
The limitations specified for the source and target must be compatible.
RuleProperty
- class CfnIdNamespace.RuleProperty(*, matching_keys, rule_name)
Bases:
object
An object containing
RuleName
, andMatchingKeys
.- Parameters:
matching_keys (
Sequence
[str
]) – A list ofMatchingKeys
. TheMatchingKeys
must have been defined in theSchemaMapping
. Two records are considered to match according to this rule if all of theMatchingKeys
match.rule_name (
str
) – A name for the matching rule.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_entityresolution as entityresolution rule_property = entityresolution.CfnIdNamespace.RuleProperty( matching_keys=["matchingKeys"], rule_name="ruleName" )
Attributes
- matching_keys
A list of
MatchingKeys
.The
MatchingKeys
must have been defined in theSchemaMapping
. Two records are considered to match according to this rule if all of theMatchingKeys
match.
- rule_name
A name for the matching rule.