CfnTagAssociation
- class aws_cdk.aws_lakeformation.CfnTagAssociation(scope, id, *, lf_tags, resource)
Bases:
CfnResource
The
AWS::LakeFormation::TagAssociation
resource represents an assignment of an LF-tag to a Data Catalog resource (database, table, or column).During a stack operation, CloudFormation calls AWS Lake Formation
AddLFTagsToResource
API to create aTagAssociation
resource and calls theRemoveLFTagsToResource
API to delete it.- See:
- CloudformationResource:
AWS::LakeFormation::TagAssociation
- ExampleMetadata:
infused
Example:
import aws_cdk as cdk from aws_cdk.aws_glue_alpha import S3Table, Database, DataFormat, Schema from aws_cdk.aws_lakeformation import CfnDataLakeSettings, CfnTag, CfnTagAssociation # stack: cdk.Stack # account_id: str tag_key = "aws" tag_values = ["dev"] database = Database(self, "Database") table = S3Table(self, "Table", database=database, columns=[Column( name="col1", type=Schema.STRING ), Column( name="col2", type=Schema.STRING ) ], data_format=DataFormat.CSV ) synthesizer = stack.synthesizer CfnDataLakeSettings(self, "DataLakeSettings", admins=[CfnDataLakeSettings.DataLakePrincipalProperty( data_lake_principal_identifier=stack.format_arn( service="iam", resource="role", region="", account=account_id, resource_name="Admin" ) ), CfnDataLakeSettings.DataLakePrincipalProperty( # The CDK cloudformation execution role. data_lake_principal_identifier=synthesizer.cloud_formation_execution_role_arn.replace("${AWS::Partition}", "aws") ) ] ) tag = CfnTag(self, "Tag", catalog_id=account_id, tag_key=tag_key, tag_values=tag_values ) lf_tag_pair_property = CfnTagAssociation.LFTagPairProperty( catalog_id=account_id, tag_key=tag_key, tag_values=tag_values ) tag_association = CfnTagAssociation(self, "TagAssociation", lf_tags=[lf_tag_pair_property], resource=CfnTagAssociation.ResourceProperty( table_with_columns=CfnTagAssociation.TableWithColumnsResourceProperty( database_name=database.database_name, column_names=["col1", "col2"], catalog_id=account_id, name=table.table_name ) ) ) tag_association.node.add_dependency(tag) tag_association.node.add_dependency(table)
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).lf_tags (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,LFTagPairProperty
,Dict
[str
,Any
]]]]) – A structure containing an LF-tag key-value pair.resource (
Union
[IResolvable
,ResourceProperty
,Dict
[str
,Any
]]) – UTF-8 string (valid values:DATABASE | TABLE
). The resource for which the LF-tag policy applies.
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
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
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
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
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::LakeFormation::TagAssociation'
- attr_resource_identifier
Json encoding of the input resource.
Examples - Database:
{"Catalog":null,"Database":{"CatalogId":"123456789012","Name":"ExampleDbName"},"Table":null,"TableWithColumns":null}
Table:
{"Catalog":null,"Database":null,"Table":{"CatalogId":"123456789012","DatabaseName":"ExampleDbName","Name":"ExampleTableName","TableWildcard":null},"TableWithColumns":null}
Columns:
{"Catalog":null,"Database":null,"Table":null,"TableWithColumns":{"CatalogId":"123456789012","DatabaseName":"ExampleDbName","Name":"ExampleTableName","ColumnNames":["ExampleColName1","ExampleColName2"]}}
- CloudformationAttribute:
ResourceIdentifier
- attr_tags_identifier
Json encoding of the input LFTags list.
For example:
[{"CatalogId":null,"TagKey":"tagKey1","TagValues":null},{"CatalogId":null,"TagKey":"tagKey2","TagValues":null}]
- CloudformationAttribute:
TagsIdentifier
- 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.
- lf_tags
A structure containing an LF-tag key-value pair.
- 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 })
.
- resource
DATABASE | TABLE
).- Type:
UTF-8 string (valid values
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
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
.
DatabaseResourceProperty
- class CfnTagAssociation.DatabaseResourceProperty(*, catalog_id, name)
Bases:
object
A structure for the database object.
- Parameters:
catalog_id (
str
) – The identifier for the Data Catalog . By default, it should be the account ID of the caller.name (
str
) – The name of the database resource. Unique to the Data Catalog.
- 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_lakeformation as lakeformation database_resource_property = lakeformation.CfnTagAssociation.DatabaseResourceProperty( catalog_id="catalogId", name="name" )
Attributes
- catalog_id
The identifier for the Data Catalog .
By default, it should be the account ID of the caller.
- name
The name of the database resource.
Unique to the Data Catalog.
LFTagPairProperty
- class CfnTagAssociation.LFTagPairProperty(*, catalog_id, tag_key, tag_values)
Bases:
object
A structure containing the catalog ID, tag key, and tag values of an LF-tag key-value pair.
- Parameters:
catalog_id (
str
) – The identifier for the Data Catalog . By default, it is the account ID of the caller.tag_key (
str
) – The key-name for the LF-tag.tag_values (
Sequence
[str
]) – A list of possible values of the correspondingTagKey
of an LF-tag key-value pair.
- See:
- ExampleMetadata:
infused
Example:
import aws_cdk as cdk from aws_cdk.aws_glue_alpha import S3Table, Database, DataFormat, Schema from aws_cdk.aws_lakeformation import CfnDataLakeSettings, CfnTag, CfnTagAssociation # stack: cdk.Stack # account_id: str tag_key = "aws" tag_values = ["dev"] database = Database(self, "Database") table = S3Table(self, "Table", database=database, columns=[Column( name="col1", type=Schema.STRING ), Column( name="col2", type=Schema.STRING ) ], data_format=DataFormat.CSV ) synthesizer = stack.synthesizer CfnDataLakeSettings(self, "DataLakeSettings", admins=[CfnDataLakeSettings.DataLakePrincipalProperty( data_lake_principal_identifier=stack.format_arn( service="iam", resource="role", region="", account=account_id, resource_name="Admin" ) ), CfnDataLakeSettings.DataLakePrincipalProperty( # The CDK cloudformation execution role. data_lake_principal_identifier=synthesizer.cloud_formation_execution_role_arn.replace("${AWS::Partition}", "aws") ) ] ) tag = CfnTag(self, "Tag", catalog_id=account_id, tag_key=tag_key, tag_values=tag_values ) lf_tag_pair_property = CfnTagAssociation.LFTagPairProperty( catalog_id=account_id, tag_key=tag_key, tag_values=tag_values ) tag_association = CfnTagAssociation(self, "TagAssociation", lf_tags=[lf_tag_pair_property], resource=CfnTagAssociation.ResourceProperty( table_with_columns=CfnTagAssociation.TableWithColumnsResourceProperty( database_name=database.database_name, column_names=["col1", "col2"], catalog_id=account_id, name=table.table_name ) ) ) tag_association.node.add_dependency(tag) tag_association.node.add_dependency(table)
Attributes
- catalog_id
The identifier for the Data Catalog .
By default, it is the account ID of the caller.
- tag_key
The key-name for the LF-tag.
- tag_values
A list of possible values of the corresponding
TagKey
of an LF-tag key-value pair.
ResourceProperty
- class CfnTagAssociation.ResourceProperty(*, catalog=None, database=None, table=None, table_with_columns=None)
Bases:
object
A structure for the resource.
- Parameters:
catalog (
Any
) – The identifier for the Data Catalog. By default, the account ID. The Data Catalog is the persistent metadata store. It contains database definitions, table definitions, and other control information to manage your AWS Lake Formation environment.database (
Union
[IResolvable
,DatabaseResourceProperty
,Dict
[str
,Any
],None
]) – The database for the resource. Unique to the Data Catalog. A database is a set of associated table definitions organized into a logical group. You can Grant and Revoke database permissions to a principal.table (
Union
[IResolvable
,TableResourceProperty
,Dict
[str
,Any
],None
]) – The table for the resource. A table is a metadata definition that represents your data. You can Grant and Revoke table privileges to a principal.table_with_columns (
Union
[IResolvable
,TableWithColumnsResourceProperty
,Dict
[str
,Any
],None
]) – The table with columns for the resource. A principal with permissions to this resource can select metadata from the columns of a table in the Data Catalog and the underlying data in Amazon S3.
- 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_lakeformation as lakeformation # catalog: Any # table_wildcard: Any resource_property = lakeformation.CfnTagAssociation.ResourceProperty( catalog=catalog, database=lakeformation.CfnTagAssociation.DatabaseResourceProperty( catalog_id="catalogId", name="name" ), table=lakeformation.CfnTagAssociation.TableResourceProperty( catalog_id="catalogId", database_name="databaseName", # the properties below are optional name="name", table_wildcard=table_wildcard ), table_with_columns=lakeformation.CfnTagAssociation.TableWithColumnsResourceProperty( catalog_id="catalogId", column_names=["columnNames"], database_name="databaseName", name="name" ) )
Attributes
- catalog
The identifier for the Data Catalog.
By default, the account ID. The Data Catalog is the persistent metadata store. It contains database definitions, table definitions, and other control information to manage your AWS Lake Formation environment.
- database
The database for the resource.
Unique to the Data Catalog. A database is a set of associated table definitions organized into a logical group. You can Grant and Revoke database permissions to a principal.
- table
The table for the resource.
A table is a metadata definition that represents your data. You can Grant and Revoke table privileges to a principal.
- table_with_columns
The table with columns for the resource.
A principal with permissions to this resource can select metadata from the columns of a table in the Data Catalog and the underlying data in Amazon S3.
TableResourceProperty
- class CfnTagAssociation.TableResourceProperty(*, catalog_id, database_name, name=None, table_wildcard=None)
Bases:
object
A structure for the table object.
A table is a metadata definition that represents your data. You can Grant and Revoke table privileges to a principal.
- Parameters:
catalog_id (
str
) – The identifier for the Data Catalog . By default, it is the account ID of the caller.database_name (
str
) – The name of the database for the table. Unique to a Data Catalog. A database is a set of associated table definitions organized into a logical group. You can Grant and Revoke database privileges to a principal.name (
Optional
[str
]) – The name of the table.table_wildcard (
Any
) – A wildcard object representing every table under a database.This is an object with no properties that effectively behaves as a true or false depending on whether not it is passed as a parameter. The valid inputs for a property with this type in either yaml or json is null or {}. At least one ofTableResource$Name
orTableResource$TableWildcard
is required.
- 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_lakeformation as lakeformation # table_wildcard: Any table_resource_property = lakeformation.CfnTagAssociation.TableResourceProperty( catalog_id="catalogId", database_name="databaseName", # the properties below are optional name="name", table_wildcard=table_wildcard )
Attributes
- catalog_id
The identifier for the Data Catalog .
By default, it is the account ID of the caller.
- database_name
The name of the database for the table.
Unique to a Data Catalog. A database is a set of associated table definitions organized into a logical group. You can Grant and Revoke database privileges to a principal.
- name
The name of the table.
- table_wildcard
A wildcard object representing every table under a database.This is an object with no properties that effectively behaves as a true or false depending on whether not it is passed as a parameter. The valid inputs for a property with this type in either yaml or json is null or {}.
At least one of
TableResource$Name
orTableResource$TableWildcard
is required.
TableWithColumnsResourceProperty
- class CfnTagAssociation.TableWithColumnsResourceProperty(*, catalog_id, column_names, database_name, name)
Bases:
object
A structure for a table with columns object. This object is only used when granting a SELECT permission.
This object must take a value for at least one of
ColumnsNames
,ColumnsIndexes
, orColumnsWildcard
.- Parameters:
catalog_id (
str
) – A wildcard object representing every table under a database. At least one of TableResource$Name or TableResource$TableWildcard is required.column_names (
Sequence
[str
]) – The list of column names for the table. At least one ofColumnNames
orColumnWildcard
is required.database_name (
str
) – The name of the database for the table with columns resource. Unique to the Data Catalog. A database is a set of associated table definitions organized into a logical group. You can Grant and Revoke database privileges to a principal.name (
str
) – The name of the table resource. A table is a metadata definition that represents your data. You can Grant and Revoke table privileges to a principal.
- 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_lakeformation as lakeformation table_with_columns_resource_property = lakeformation.CfnTagAssociation.TableWithColumnsResourceProperty( catalog_id="catalogId", column_names=["columnNames"], database_name="databaseName", name="name" )
Attributes
- catalog_id
A wildcard object representing every table under a database.
At least one of TableResource$Name or TableResource$TableWildcard is required.
- column_names
The list of column names for the table.
At least one of
ColumnNames
orColumnWildcard
is required.
- database_name
The name of the database for the table with columns resource.
Unique to the Data Catalog. A database is a set of associated table definitions organized into a logical group. You can Grant and Revoke database privileges to a principal.
- name
The name of the table resource.
A table is a metadata definition that represents your data. You can Grant and Revoke table privileges to a principal.