CfnTable
- class aws_cdk.aws_s3tables.CfnTable(scope, id, *, namespace, open_table_format, table_bucket_arn, table_name, compaction=None, iceberg_metadata=None, snapshot_management=None, without_metadata=None)
Bases:
CfnResource
Creates a new table associated with the given namespace in a table bucket.
For more information, see Creating an Amazon S3 table in the Amazon Simple Storage Service User Guide .
Permissions - - You must have the
s3tables:CreateTable
permission to use this operation.If you use this operation with the optional
metadata
request parameter you must have thes3tables:PutTableData
permission.If you use this operation with the optional
encryptionConfiguration
request parameter you must have thes3tables:PutTableEncryption
permission.
Additionally, If you choose SSE-KMS encryption you must grant the S3 Tables maintenance principal access to your KMS key. For more information, see Permissions requirements for S3 Tables SSE-KMS encryption .
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-s3tables-table.html
- CloudformationResource:
AWS::S3Tables::Table
- 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_s3tables as s3tables cfn_table = s3tables.CfnTable(self, "MyCfnTable", namespace="namespace", open_table_format="openTableFormat", table_bucket_arn="tableBucketArn", table_name="tableName", # the properties below are optional compaction=s3tables.CfnTable.CompactionProperty( status="status", target_file_size_mb=123 ), iceberg_metadata=s3tables.CfnTable.IcebergMetadataProperty( iceberg_schema=s3tables.CfnTable.IcebergSchemaProperty( schema_field_list=[s3tables.CfnTable.SchemaFieldProperty( name="name", type="type", # the properties below are optional required=False )] ) ), snapshot_management=s3tables.CfnTable.SnapshotManagementProperty( max_snapshot_age_hours=123, min_snapshots_to_keep=123, status="status" ), without_metadata="withoutMetadata" )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).namespace (
str
) – The name of the namespace.open_table_format (
str
) – Format of the table.table_bucket_arn (
str
) – The Amazon Resource Name (ARN) of the specified table bucket.table_name (
str
) – The name for the table.compaction (
Union
[IResolvable
,CompactionProperty
,Dict
[str
,Any
],None
]) – Settings governing the Compaction maintenance action. Contains details about the compaction settings for an Iceberg table.iceberg_metadata (
Union
[IResolvable
,IcebergMetadataProperty
,Dict
[str
,Any
],None
]) – Contains details about the metadata for an Iceberg table.snapshot_management (
Union
[IResolvable
,SnapshotManagementProperty
,Dict
[str
,Any
],None
]) – Contains details about the snapshot management settings for an Iceberg table. A snapshot is expired when it exceeds MinSnapshotsToKeep and MaxSnapshotAgeHours.without_metadata (
Optional
[str
]) – Indicates that you don’t want to specify a schema for the table. This property is mutually exclusive to ‘IcebergMetadata’, and its only possible value is ‘Yes’.
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::S3Tables::Table'
- attr_table_arn
The Amazon Resource Name (ARN) of the table.
- CloudformationAttribute:
TableARN
- attr_version_token
The version token of the table.
- CloudformationAttribute:
VersionToken
- attr_warehouse_location
The warehouse location of the table.
- CloudformationAttribute:
WarehouseLocation
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- compaction
Settings governing the Compaction maintenance action.
- 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.
- iceberg_metadata
Contains details about the metadata for an Iceberg table.
- 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.
- namespace
The name of the namespace.
- node
The tree node.
- open_table_format
Format of the table.
- 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 })
.
- snapshot_management
Contains details about the snapshot management settings for an Iceberg table.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- table_bucket_arn
The Amazon Resource Name (ARN) of the specified table bucket.
- table_name
The name for the table.
- without_metadata
Indicates that you don’t want to specify a schema for the table.
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
.
CompactionProperty
- class CfnTable.CompactionProperty(*, status=None, target_file_size_mb=None)
Bases:
object
Settings governing the Compaction maintenance action.
Contains details about the compaction settings for an Iceberg table.
- Parameters:
status (
Optional
[str
]) – Indicates whether the Compaction maintenance action is enabled.target_file_size_mb (
Union
[int
,float
,None
]) – The target file size for the table in MB.
- 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_s3tables as s3tables compaction_property = s3tables.CfnTable.CompactionProperty( status="status", target_file_size_mb=123 )
Attributes
- status
Indicates whether the Compaction maintenance action is enabled.
- target_file_size_mb
The target file size for the table in MB.
IcebergMetadataProperty
- class CfnTable.IcebergMetadataProperty(*, iceberg_schema)
Bases:
object
Contains details about the metadata for an Iceberg table.
- Parameters:
iceberg_schema (
Union
[IResolvable
,IcebergSchemaProperty
,Dict
[str
,Any
]]) – Contains details about the schema for an Iceberg table.- 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_s3tables as s3tables iceberg_metadata_property = s3tables.CfnTable.IcebergMetadataProperty( iceberg_schema=s3tables.CfnTable.IcebergSchemaProperty( schema_field_list=[s3tables.CfnTable.SchemaFieldProperty( name="name", type="type", # the properties below are optional required=False )] ) )
Attributes
- iceberg_schema
Contains details about the schema for an Iceberg table.
IcebergSchemaProperty
- class CfnTable.IcebergSchemaProperty(*, schema_field_list)
Bases:
object
Contains details about the schema for an Iceberg table.
- Parameters:
schema_field_list (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,SchemaFieldProperty
,Dict
[str
,Any
]]]]) – Contains details about the schema for an Iceberg table.- 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_s3tables as s3tables iceberg_schema_property = s3tables.CfnTable.IcebergSchemaProperty( schema_field_list=[s3tables.CfnTable.SchemaFieldProperty( name="name", type="type", # the properties below are optional required=False )] )
Attributes
- schema_field_list
Contains details about the schema for an Iceberg table.
SchemaFieldProperty
- class CfnTable.SchemaFieldProperty(*, name, type, required=None)
Bases:
object
Contains details about a schema field.
- Parameters:
name (
str
) – The name of the field.type (
str
) – The field type. S3 Tables supports all Apache Iceberg primitive types. For more information, see the Apache Iceberg documentation .required (
Union
[bool
,IResolvable
,None
]) – A Boolean value that specifies whether values are required for each row in this field. By default, this isfalse
and null values are allowed in the field. If this istrue
the field does not allow null values.
- 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_s3tables as s3tables schema_field_property = s3tables.CfnTable.SchemaFieldProperty( name="name", type="type", # the properties below are optional required=False )
Attributes
- name
The name of the field.
- required
A Boolean value that specifies whether values are required for each row in this field.
By default, this is
false
and null values are allowed in the field. If this istrue
the field does not allow null values.
- type
The field type.
S3 Tables supports all Apache Iceberg primitive types. For more information, see the Apache Iceberg documentation .
SnapshotManagementProperty
- class CfnTable.SnapshotManagementProperty(*, max_snapshot_age_hours=None, min_snapshots_to_keep=None, status=None)
Bases:
object
Contains details about the snapshot management settings for an Iceberg table.
A snapshot is expired when it exceeds MinSnapshotsToKeep and MaxSnapshotAgeHours.
- Parameters:
max_snapshot_age_hours (
Union
[int
,float
,None
]) – The maximum age of a snapshot before it can be expired.min_snapshots_to_keep (
Union
[int
,float
,None
]) – The minimum number of snapshots to keep.status (
Optional
[str
]) – Indicates whether the SnapshotManagement maintenance action is enabled.
- 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_s3tables as s3tables snapshot_management_property = s3tables.CfnTable.SnapshotManagementProperty( max_snapshot_age_hours=123, min_snapshots_to_keep=123, status="status" )
Attributes
- max_snapshot_age_hours
The maximum age of a snapshot before it can be expired.
- min_snapshots_to_keep
The minimum number of snapshots to keep.
- status
Indicates whether the SnapshotManagement maintenance action is enabled.