CfnDatastore
- class aws_cdk.aws_iotanalytics.CfnDatastore(scope, id, *, datastore_name=None, datastore_partitions=None, datastore_storage=None, file_format_configuration=None, retention_period=None, tags=None)
Bases:
CfnResource
A CloudFormation
AWS::IoTAnalytics::Datastore
.AWS::IoTAnalytics::Datastore resource is a repository for messages. For more information, see How to Use AWS IoT Analytics in the AWS IoT Analytics User Guide .
- CloudformationResource:
AWS::IoTAnalytics::Datastore
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics # json_configuration: Any # service_managed_s3: Any cfn_datastore = iotanalytics.CfnDatastore(self, "MyCfnDatastore", datastore_name="datastoreName", datastore_partitions=iotanalytics.CfnDatastore.DatastorePartitionsProperty( partitions=[iotanalytics.CfnDatastore.DatastorePartitionProperty( partition=iotanalytics.CfnDatastore.PartitionProperty( attribute_name="attributeName" ), timestamp_partition=iotanalytics.CfnDatastore.TimestampPartitionProperty( attribute_name="attributeName", # the properties below are optional timestamp_format="timestampFormat" ) )] ), datastore_storage=iotanalytics.CfnDatastore.DatastoreStorageProperty( customer_managed_s3=iotanalytics.CfnDatastore.CustomerManagedS3Property( bucket="bucket", role_arn="roleArn", # the properties below are optional key_prefix="keyPrefix" ), iot_site_wise_multi_layer_storage=iotanalytics.CfnDatastore.IotSiteWiseMultiLayerStorageProperty( customer_managed_s3_storage=iotanalytics.CfnDatastore.CustomerManagedS3StorageProperty( bucket="bucket", # the properties below are optional key_prefix="keyPrefix" ) ), service_managed_s3=service_managed_s3 ), file_format_configuration=iotanalytics.CfnDatastore.FileFormatConfigurationProperty( json_configuration=json_configuration, parquet_configuration=iotanalytics.CfnDatastore.ParquetConfigurationProperty( schema_definition=iotanalytics.CfnDatastore.SchemaDefinitionProperty( columns=[iotanalytics.CfnDatastore.ColumnProperty( name="name", type="type" )] ) ) ), retention_period=iotanalytics.CfnDatastore.RetentionPeriodProperty( number_of_days=123, unlimited=False ), tags=[CfnTag( key="key", value="value" )] )
Create a new
AWS::IoTAnalytics::Datastore
.- Parameters:
scope (
Construct
) –scope in which this resource is defined.
id (
str
) –scoped id of the resource.
datastore_name (
Optional
[str
]) – The name of the data store.datastore_partitions (
Union
[IResolvable
,DatastorePartitionsProperty
,Dict
[str
,Any
],None
]) – Information about the partition dimensions in a data store.datastore_storage (
Union
[IResolvable
,DatastoreStorageProperty
,Dict
[str
,Any
],None
]) – Where data store data is stored.file_format_configuration (
Union
[IResolvable
,FileFormatConfigurationProperty
,Dict
[str
,Any
],None
]) – Contains the configuration information of file formats. AWS IoT Analytics data stores support JSON and Parquet . The default file format is JSON. You can specify only one format. You can’t change the file format after you create the data store.retention_period (
Union
[IResolvable
,RetentionPeriodProperty
,Dict
[str
,Any
],None
]) – How long, in days, message data is kept for the data store. WhencustomerManagedS3
storage is selected, this parameter is ignored.tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – Metadata which can be used to manage the data store. For more information, see Tag .
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_depends_on(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_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 intermdediate 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
).- 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 resoure, please consult that specific resource’s documentation.
- Return type:
None
- get_att(attribute_name)
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.- 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
- 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
- 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::IoTAnalytics::Datastore'
- attr_id
Id
- Type:
cloudformationAttribute
- 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.
- datastore_name
The name of the data store.
- datastore_partitions
Information about the partition dimensions in a data store.
- datastore_storage
Where data store data is stored.
- file_format_configuration
Contains the configuration information of file formats. AWS IoT Analytics data stores support JSON and Parquet .
The default file format is JSON. You can specify only one format.
You can’t change the file format after you create the data store.
- 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 construct tree node associated with this construct.
- 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 })
.
- retention_period
How long, in days, message data is kept for the data store.
When
customerManagedS3
storage is selected, this parameter is ignored.
- 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(construct)
Check whether the given construct is a CfnResource.
- Parameters:
construct (
IConstruct
)- Return type:
bool
- classmethod is_construct(x)
Return whether the given object is a Construct.
- Parameters:
x (
Any
)- Return type:
bool
ColumnProperty
- class CfnDatastore.ColumnProperty(*, name, type)
Bases:
object
Contains information about a column that stores your data.
- Parameters:
name (
str
) – The name of the column.type (
str
) – The type of data. For more information about the supported data types, see Common data types in the AWS Glue Developer Guide .
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics column_property = iotanalytics.CfnDatastore.ColumnProperty( name="name", type="type" )
Attributes
- name
The name of the column.
- type
The type of data.
For more information about the supported data types, see Common data types in the AWS Glue Developer Guide .
CustomerManagedS3Property
- class CfnDatastore.CustomerManagedS3Property(*, bucket, role_arn, key_prefix=None)
Bases:
object
S3-customer-managed;
When you choose customer-managed storage, the
retentionPeriod
parameter is ignored. You can’t change the choice of Amazon S3 storage after your data store is created.- Parameters:
bucket (
str
) – The name of the Amazon S3 bucket where your data is stored.role_arn (
str
) – The ARN of the role that grants AWS IoT Analytics permission to interact with your Amazon S3 resources.key_prefix (
Optional
[str
]) – (Optional) The prefix used to create the keys of the data store data objects. Each object in an Amazon S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics customer_managed_s3_property = iotanalytics.CfnDatastore.CustomerManagedS3Property( bucket="bucket", role_arn="roleArn", # the properties below are optional key_prefix="keyPrefix" )
Attributes
- bucket
The name of the Amazon S3 bucket where your data is stored.
- key_prefix
(Optional) The prefix used to create the keys of the data store data objects.
Each object in an Amazon S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).
- role_arn
The ARN of the role that grants AWS IoT Analytics permission to interact with your Amazon S3 resources.
CustomerManagedS3StorageProperty
- class CfnDatastore.CustomerManagedS3StorageProperty(*, bucket, key_prefix=None)
Bases:
object
Amazon S3 -customer-managed;
When you choose customer-managed storage, the
retentionPeriod
parameter is ignored. You can’t change the choice of Amazon S3 storage after your data store is created.- Parameters:
bucket (
str
) – The name of the Amazon S3 bucket where your data is stored.key_prefix (
Optional
[str
]) – (Optional) The prefix used to create the keys of the data store data objects. Each object in an Amazon S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics customer_managed_s3_storage_property = iotanalytics.CfnDatastore.CustomerManagedS3StorageProperty( bucket="bucket", # the properties below are optional key_prefix="keyPrefix" )
Attributes
- bucket
The name of the Amazon S3 bucket where your data is stored.
- key_prefix
(Optional) The prefix used to create the keys of the data store data objects.
Each object in an Amazon S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).
DatastorePartitionProperty
- class CfnDatastore.DatastorePartitionProperty(*, partition=None, timestamp_partition=None)
Bases:
object
A single dimension to partition a data store.
The dimension must be an
AttributePartition
or aTimestampPartition
.- Parameters:
partition (
Union
[IResolvable
,PartitionProperty
,Dict
[str
,Any
],None
]) – A partition dimension defined by an attribute.timestamp_partition (
Union
[IResolvable
,TimestampPartitionProperty
,Dict
[str
,Any
],None
]) – A partition dimension defined by a timestamp attribute.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics datastore_partition_property = iotanalytics.CfnDatastore.DatastorePartitionProperty( partition=iotanalytics.CfnDatastore.PartitionProperty( attribute_name="attributeName" ), timestamp_partition=iotanalytics.CfnDatastore.TimestampPartitionProperty( attribute_name="attributeName", # the properties below are optional timestamp_format="timestampFormat" ) )
Attributes
- partition
A partition dimension defined by an attribute.
- timestamp_partition
A partition dimension defined by a timestamp attribute.
DatastorePartitionsProperty
- class CfnDatastore.DatastorePartitionsProperty(*, partitions=None)
Bases:
object
Information about the partition dimensions in a data store.
- Parameters:
partitions (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,DatastorePartitionProperty
,Dict
[str
,Any
]]],None
]) – A list of partition dimensions in a data store.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics datastore_partitions_property = iotanalytics.CfnDatastore.DatastorePartitionsProperty( partitions=[iotanalytics.CfnDatastore.DatastorePartitionProperty( partition=iotanalytics.CfnDatastore.PartitionProperty( attribute_name="attributeName" ), timestamp_partition=iotanalytics.CfnDatastore.TimestampPartitionProperty( attribute_name="attributeName", # the properties below are optional timestamp_format="timestampFormat" ) )] )
Attributes
- partitions
A list of partition dimensions in a data store.
DatastoreStorageProperty
- class CfnDatastore.DatastoreStorageProperty(*, customer_managed_s3=None, iot_site_wise_multi_layer_storage=None, service_managed_s3=None)
Bases:
object
Where data store data is stored.
- Parameters:
customer_managed_s3 (
Union
[IResolvable
,CustomerManagedS3Property
,Dict
[str
,Any
],None
]) – Use this to store data store data in an S3 bucket that you manage. The choice of service-managed or customer-managed S3 storage cannot be changed after creation of the data store.iot_site_wise_multi_layer_storage (
Union
[IResolvable
,IotSiteWiseMultiLayerStorageProperty
,Dict
[str
,Any
],None
]) – Use this to store data used by AWS IoT SiteWise in an Amazon S3 bucket that you manage. You can’t change the choice of Amazon S3 storage after your data store is created.service_managed_s3 (
Optional
[Any
]) – Use this to store data store data in an S3 bucket managed by the AWS IoT Analytics service. The choice of service-managed or customer-managed S3 storage cannot be changed after creation of the data store.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics # service_managed_s3: Any datastore_storage_property = iotanalytics.CfnDatastore.DatastoreStorageProperty( customer_managed_s3=iotanalytics.CfnDatastore.CustomerManagedS3Property( bucket="bucket", role_arn="roleArn", # the properties below are optional key_prefix="keyPrefix" ), iot_site_wise_multi_layer_storage=iotanalytics.CfnDatastore.IotSiteWiseMultiLayerStorageProperty( customer_managed_s3_storage=iotanalytics.CfnDatastore.CustomerManagedS3StorageProperty( bucket="bucket", # the properties below are optional key_prefix="keyPrefix" ) ), service_managed_s3=service_managed_s3 )
Attributes
- customer_managed_s3
Use this to store data store data in an S3 bucket that you manage.
The choice of service-managed or customer-managed S3 storage cannot be changed after creation of the data store.
- iot_site_wise_multi_layer_storage
Use this to store data used by AWS IoT SiteWise in an Amazon S3 bucket that you manage.
You can’t change the choice of Amazon S3 storage after your data store is created.
- service_managed_s3
Use this to store data store data in an S3 bucket managed by the AWS IoT Analytics service.
The choice of service-managed or customer-managed S3 storage cannot be changed after creation of the data store.
FileFormatConfigurationProperty
- class CfnDatastore.FileFormatConfigurationProperty(*, json_configuration=None, parquet_configuration=None)
Bases:
object
Contains the configuration information of file formats. AWS IoT Analytics data stores support JSON and Parquet .
The default file format is JSON. You can specify only one format.
You can’t change the file format after you create the data store.
- Parameters:
json_configuration (
Optional
[Any
]) – Contains the configuration information of the JSON format.parquet_configuration (
Union
[IResolvable
,ParquetConfigurationProperty
,Dict
[str
,Any
],None
]) – Contains the configuration information of the Parquet format.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics # json_configuration: Any file_format_configuration_property = iotanalytics.CfnDatastore.FileFormatConfigurationProperty( json_configuration=json_configuration, parquet_configuration=iotanalytics.CfnDatastore.ParquetConfigurationProperty( schema_definition=iotanalytics.CfnDatastore.SchemaDefinitionProperty( columns=[iotanalytics.CfnDatastore.ColumnProperty( name="name", type="type" )] ) ) )
Attributes
- json_configuration
Contains the configuration information of the JSON format.
- parquet_configuration
Contains the configuration information of the Parquet format.
IotSiteWiseMultiLayerStorageProperty
- class CfnDatastore.IotSiteWiseMultiLayerStorageProperty(*, customer_managed_s3_storage=None)
Bases:
object
Stores data used by AWS IoT SiteWise in an Amazon S3 bucket that you manage.
You can’t change the choice of Amazon S3 storage after your data store is created.
- Parameters:
customer_managed_s3_storage (
Union
[IResolvable
,CustomerManagedS3StorageProperty
,Dict
[str
,Any
],None
]) – Stores data used by AWS IoT SiteWise in an Amazon S3 bucket that you manage.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics iot_site_wise_multi_layer_storage_property = iotanalytics.CfnDatastore.IotSiteWiseMultiLayerStorageProperty( customer_managed_s3_storage=iotanalytics.CfnDatastore.CustomerManagedS3StorageProperty( bucket="bucket", # the properties below are optional key_prefix="keyPrefix" ) )
Attributes
- customer_managed_s3_storage
Stores data used by AWS IoT SiteWise in an Amazon S3 bucket that you manage.
ParquetConfigurationProperty
- class CfnDatastore.ParquetConfigurationProperty(*, schema_definition=None)
Bases:
object
Contains the configuration information of the Parquet format.
- Parameters:
schema_definition (
Union
[IResolvable
,SchemaDefinitionProperty
,Dict
[str
,Any
],None
]) – Information needed to define a schema.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics parquet_configuration_property = iotanalytics.CfnDatastore.ParquetConfigurationProperty( schema_definition=iotanalytics.CfnDatastore.SchemaDefinitionProperty( columns=[iotanalytics.CfnDatastore.ColumnProperty( name="name", type="type" )] ) )
Attributes
- schema_definition
Information needed to define a schema.
PartitionProperty
- class CfnDatastore.PartitionProperty(*, attribute_name)
Bases:
object
A single dimension to partition a data store.
The dimension must be an
AttributePartition
or aTimestampPartition
.- Parameters:
attribute_name (
str
) – The name of the attribute that defines a partition dimension.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics partition_property = iotanalytics.CfnDatastore.PartitionProperty( attribute_name="attributeName" )
Attributes
- attribute_name
The name of the attribute that defines a partition dimension.
RetentionPeriodProperty
- class CfnDatastore.RetentionPeriodProperty(*, number_of_days=None, unlimited=None)
Bases:
object
How long, in days, message data is kept.
- Parameters:
number_of_days (
Union
[int
,float
,None
]) – The number of days that message data is kept. Theunlimited
parameter must be false.unlimited (
Union
[bool
,IResolvable
,None
]) – If true, message data is kept indefinitely.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics retention_period_property = iotanalytics.CfnDatastore.RetentionPeriodProperty( number_of_days=123, unlimited=False )
Attributes
- number_of_days
The number of days that message data is kept.
The
unlimited
parameter must be false.
- unlimited
If true, message data is kept indefinitely.
SchemaDefinitionProperty
- class CfnDatastore.SchemaDefinitionProperty(*, columns=None)
Bases:
object
Information needed to define a schema.
- Parameters:
columns (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,ColumnProperty
,Dict
[str
,Any
]]],None
]) – Specifies one or more columns that store your data. Each schema can have up to 100 columns. Each column can have up to 100 nested types.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics schema_definition_property = iotanalytics.CfnDatastore.SchemaDefinitionProperty( columns=[iotanalytics.CfnDatastore.ColumnProperty( name="name", type="type" )] )
Attributes
- columns
Specifies one or more columns that store your data.
Each schema can have up to 100 columns. Each column can have up to 100 nested types.
TimestampPartitionProperty
- class CfnDatastore.TimestampPartitionProperty(*, attribute_name, timestamp_format=None)
Bases:
object
A partition dimension defined by a timestamp attribute.
- Parameters:
attribute_name (
str
) – The attribute name of the partition defined by a timestamp.timestamp_format (
Optional
[str
]) – The timestamp format of a partition defined by a timestamp. The default format is seconds since epoch (January 1, 1970 at midnight UTC time).
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_iotanalytics as iotanalytics timestamp_partition_property = iotanalytics.CfnDatastore.TimestampPartitionProperty( attribute_name="attributeName", # the properties below are optional timestamp_format="timestampFormat" )
Attributes
- attribute_name
The attribute name of the partition defined by a timestamp.
- timestamp_format
The timestamp format of a partition defined by a timestamp.
The default format is seconds since epoch (January 1, 1970 at midnight UTC time).