CfnPartition
- class aws_cdk.aws_glue.CfnPartition(scope, id, *, catalog_id, database_name, partition_input, table_name)
Bases:
CfnResourceThe
AWS::Glue::Partitionresource creates an AWS Glue partition, which represents a slice of table data.For more information, see CreatePartition Action and Partition Structure in the AWS Glue Developer Guide .
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-partition.html
- CloudformationResource:
AWS::Glue::Partition
- 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_glue as glue # parameters: Any # skewed_column_value_location_maps: Any cfn_partition = glue.CfnPartition(self, "MyCfnPartition", catalog_id="catalogId", database_name="databaseName", partition_input=glue.CfnPartition.PartitionInputProperty( values=["values"], # the properties below are optional parameters=parameters, storage_descriptor=glue.CfnPartition.StorageDescriptorProperty( bucket_columns=["bucketColumns"], columns=[glue.CfnPartition.ColumnProperty( name="name", # the properties below are optional comment="comment", type="type" )], compressed=False, input_format="inputFormat", location="location", number_of_buckets=123, output_format="outputFormat", parameters=parameters, schema_reference=glue.CfnPartition.SchemaReferenceProperty( schema_id=glue.CfnPartition.SchemaIdProperty( registry_name="registryName", schema_arn="schemaArn", schema_name="schemaName" ), schema_version_id="schemaVersionId", schema_version_number=123 ), serde_info=glue.CfnPartition.SerdeInfoProperty( name="name", parameters=parameters, serialization_library="serializationLibrary" ), skewed_info=glue.CfnPartition.SkewedInfoProperty( skewed_column_names=["skewedColumnNames"], skewed_column_value_location_maps=skewed_column_value_location_maps, skewed_column_values=["skewedColumnValues"] ), sort_columns=[glue.CfnPartition.OrderProperty( column="column", # the properties below are optional sort_order=123 )], stored_as_sub_directories=False ) ), table_name="tableName" )
- Parameters:
scope (
Construct) – Scope in which this resource is defined.id (
str) – Construct identifier for this resource (unique in its scope).catalog_id (
str) – The AWS account ID of the catalog in which the partion is to be created. .. epigraph:: To specify the account ID, you can use theRefintrinsic function with theAWS::AccountIdpseudo parameter. For example:!Ref AWS::AccountIddatabase_name (
str) – The name of the catalog database in which to create the partition.partition_input (
Union[IResolvable,PartitionInputProperty,Dict[str,Any]]) – The structure used to create and update a partition.table_name (
str) – The name of the metadata table in which the partition is to be created.
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
addPropertyOverrideor prefixpathwith “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
valueargument toaddOverridewill 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::Glue::Partition'
- attr_id
Id
- Type:
cloudformationAttribute
- catalog_id
The AWS account ID of the catalog in which the partion is to be created.
- 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.
- database_name
The name of the catalog database in which to create the partition.
- 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.
- partition_input
The structure used to create and update a partition.
- partition_ref
A reference to a Partition resource.
- 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 }).
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- table_name
The name of the metadata table in which the partition is to be created.
Static Methods
- classmethod is_cfn_element(x)
Returns
trueif a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceofto 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
xis a construct.Use this method instead of
instanceofto properly detectConstructinstances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructslibrary on disk are seen as independent, completely different libraries. As a consequence, the classConstructin each copy of theconstructslibrary is seen as a different class, and an instance of one class will not test asinstanceofthe other class.npm installwill not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructslibrary can be accidentally installed, andinstanceofwill 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
xis an object created from a class which extendsConstruct.
ColumnProperty
- class CfnPartition.ColumnProperty(*, name, comment=None, type=None)
Bases:
objectA column in a
Table.- Parameters:
name (
str) – The name of theColumn.comment (
Optional[str]) – A free-form text comment.type (
Optional[str]) – The data type of theColumn.
- 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_glue as glue column_property = glue.CfnPartition.ColumnProperty( name="name", # the properties below are optional comment="comment", type="type" )
Attributes
- comment
A free-form text comment.
- name
The name of the
Column.
- type
The data type of the
Column.
OrderProperty
- class CfnPartition.OrderProperty(*, column, sort_order=None)
Bases:
objectSpecifies the sort order of a sorted column.
- Parameters:
column (
str) – The name of the column.sort_order (
Union[int,float,None]) – Indicates that the column is sorted in ascending order (== 1), or in descending order (==0).
- 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_glue as glue order_property = glue.CfnPartition.OrderProperty( column="column", # the properties below are optional sort_order=123 )
Attributes
- column
The name of the column.
- sort_order
Indicates that the column is sorted in ascending order (
== 1), or in descending order (==0).
PartitionInputProperty
- class CfnPartition.PartitionInputProperty(*, values, parameters=None, storage_descriptor=None)
Bases:
objectThe structure used to create and update a partition.
- Parameters:
values (
Sequence[str]) – The values of the partition. Although this parameter is not required by the SDK, you must specify this parameter for a valid input. The values for the keys for the new partition must be passed as an array of String objects that must be ordered in the same order as the partition keys appearing in the Amazon S3 prefix. Otherwise AWS Glue will add the values to the wrong keys.parameters (
Any) – These key-value pairs define partition parameters.storage_descriptor (
Union[IResolvable,StorageDescriptorProperty,Dict[str,Any],None]) – Provides information about the physical location where the partition is stored.
- 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_glue as glue # parameters: Any # skewed_column_value_location_maps: Any partition_input_property = glue.CfnPartition.PartitionInputProperty( values=["values"], # the properties below are optional parameters=parameters, storage_descriptor=glue.CfnPartition.StorageDescriptorProperty( bucket_columns=["bucketColumns"], columns=[glue.CfnPartition.ColumnProperty( name="name", # the properties below are optional comment="comment", type="type" )], compressed=False, input_format="inputFormat", location="location", number_of_buckets=123, output_format="outputFormat", parameters=parameters, schema_reference=glue.CfnPartition.SchemaReferenceProperty( schema_id=glue.CfnPartition.SchemaIdProperty( registry_name="registryName", schema_arn="schemaArn", schema_name="schemaName" ), schema_version_id="schemaVersionId", schema_version_number=123 ), serde_info=glue.CfnPartition.SerdeInfoProperty( name="name", parameters=parameters, serialization_library="serializationLibrary" ), skewed_info=glue.CfnPartition.SkewedInfoProperty( skewed_column_names=["skewedColumnNames"], skewed_column_value_location_maps=skewed_column_value_location_maps, skewed_column_values=["skewedColumnValues"] ), sort_columns=[glue.CfnPartition.OrderProperty( column="column", # the properties below are optional sort_order=123 )], stored_as_sub_directories=False ) )
Attributes
- parameters
These key-value pairs define partition parameters.
- storage_descriptor
Provides information about the physical location where the partition is stored.
- values
The values of the partition.
Although this parameter is not required by the SDK, you must specify this parameter for a valid input.
The values for the keys for the new partition must be passed as an array of String objects that must be ordered in the same order as the partition keys appearing in the Amazon S3 prefix. Otherwise AWS Glue will add the values to the wrong keys.
SchemaIdProperty
- class CfnPartition.SchemaIdProperty(*, registry_name=None, schema_arn=None, schema_name=None)
Bases:
objectA structure that contains schema identity fields.
Either this or the
SchemaVersionIdhas to be provided.- Parameters:
registry_name (
Optional[str]) – The name of the schema registry that contains the schema.schema_arn (
Optional[str]) – The Amazon Resource Name (ARN) of the schema. One ofSchemaArnorSchemaNamehas to be provided.schema_name (
Optional[str]) – The name of the schema. One ofSchemaArnorSchemaNamehas to be provided.
- 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_glue as glue schema_id_property = glue.CfnPartition.SchemaIdProperty( registry_name="registryName", schema_arn="schemaArn", schema_name="schemaName" )
Attributes
- registry_name
The name of the schema registry that contains the schema.
- schema_arn
The Amazon Resource Name (ARN) of the schema.
One of
SchemaArnorSchemaNamehas to be provided.
- schema_name
The name of the schema.
One of
SchemaArnorSchemaNamehas to be provided.
SchemaReferenceProperty
- class CfnPartition.SchemaReferenceProperty(*, schema_id=None, schema_version_id=None, schema_version_number=None)
Bases:
objectAn object that references a schema stored in the AWS Glue Schema Registry.
- Parameters:
schema_id (
Union[IResolvable,SchemaIdProperty,Dict[str,Any],None]) – A structure that contains schema identity fields. Either this or theSchemaVersionIdhas to be provided.schema_version_id (
Optional[str]) – The unique ID assigned to a version of the schema. Either this or theSchemaIdhas to be provided.schema_version_number (
Union[int,float,None]) – The version number 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_glue as glue schema_reference_property = glue.CfnPartition.SchemaReferenceProperty( schema_id=glue.CfnPartition.SchemaIdProperty( registry_name="registryName", schema_arn="schemaArn", schema_name="schemaName" ), schema_version_id="schemaVersionId", schema_version_number=123 )
Attributes
- schema_id
A structure that contains schema identity fields.
Either this or the
SchemaVersionIdhas to be provided.
- schema_version_id
The unique ID assigned to a version of the schema.
Either this or the
SchemaIdhas to be provided.
- schema_version_number
The version number of the schema.
SerdeInfoProperty
- class CfnPartition.SerdeInfoProperty(*, name=None, parameters=None, serialization_library=None)
Bases:
objectInformation about a serialization/deserialization program (SerDe) that serves as an extractor and loader.
- Parameters:
name (
Optional[str]) – Name of the SerDe.parameters (
Any) – These key-value pairs define initialization parameters for the SerDe.serialization_library (
Optional[str]) – Usually the class that implements the SerDe. An example isorg.apache.hadoop.hive.serde2.columnar.ColumnarSerDe.
- 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_glue as glue # parameters: Any serde_info_property = glue.CfnPartition.SerdeInfoProperty( name="name", parameters=parameters, serialization_library="serializationLibrary" )
Attributes
- name
Name of the SerDe.
- parameters
These key-value pairs define initialization parameters for the SerDe.
- serialization_library
Usually the class that implements the SerDe.
An example is
org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe.
SkewedInfoProperty
- class CfnPartition.SkewedInfoProperty(*, skewed_column_names=None, skewed_column_value_location_maps=None, skewed_column_values=None)
Bases:
objectSpecifies skewed values in a table.
Skewed values are those that occur with very high frequency.
- Parameters:
skewed_column_names (
Optional[Sequence[str]]) – A list of names of columns that contain skewed values.skewed_column_value_location_maps (
Any) – A mapping of skewed values to the columns that contain them.skewed_column_values (
Optional[Sequence[str]]) – A list of values that appear so frequently as to be considered skewed.
- 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_glue as glue # skewed_column_value_location_maps: Any skewed_info_property = glue.CfnPartition.SkewedInfoProperty( skewed_column_names=["skewedColumnNames"], skewed_column_value_location_maps=skewed_column_value_location_maps, skewed_column_values=["skewedColumnValues"] )
Attributes
- skewed_column_names
A list of names of columns that contain skewed values.
- skewed_column_value_location_maps
A mapping of skewed values to the columns that contain them.
- skewed_column_values
A list of values that appear so frequently as to be considered skewed.
StorageDescriptorProperty
- class CfnPartition.StorageDescriptorProperty(*, bucket_columns=None, columns=None, compressed=None, input_format=None, location=None, number_of_buckets=None, output_format=None, parameters=None, schema_reference=None, serde_info=None, skewed_info=None, sort_columns=None, stored_as_sub_directories=None)
Bases:
objectDescribes the physical storage of table data.
- Parameters:
bucket_columns (
Optional[Sequence[str]]) – A list of reducer grouping columns, clustering columns, and bucketing columns in the table.columns (
Union[IResolvable,Sequence[Union[IResolvable,ColumnProperty,Dict[str,Any]]],None]) – A list of theColumnsin the table.compressed (
Union[bool,IResolvable,None]) –Trueif the data in the table is compressed, orFalseif not.input_format (
Optional[str]) – The input format:SequenceFileInputFormat(binary), orTextInputFormat, or a custom format.location (
Optional[str]) – The physical location of the table. By default, this takes the form of the warehouse location, followed by the database location in the warehouse, followed by the table name.number_of_buckets (
Union[int,float,None]) – The number of buckets. You must specify this property if the partition contains any dimension columns.output_format (
Optional[str]) – The output format:SequenceFileOutputFormat(binary), orIgnoreKeyTextOutputFormat, or a custom format.parameters (
Any) – The user-supplied properties in key-value form.schema_reference (
Union[IResolvable,SchemaReferenceProperty,Dict[str,Any],None]) – An object that references a schema stored in the AWS Glue Schema Registry.serde_info (
Union[IResolvable,SerdeInfoProperty,Dict[str,Any],None]) – The serialization/deserialization (SerDe) information.skewed_info (
Union[IResolvable,SkewedInfoProperty,Dict[str,Any],None]) – The information about values that appear frequently in a column (skewed values).sort_columns (
Union[IResolvable,Sequence[Union[IResolvable,OrderProperty,Dict[str,Any]]],None]) – A list specifying the sort order of each bucket in the table.stored_as_sub_directories (
Union[bool,IResolvable,None]) –Trueif the table data is stored in subdirectories, orFalseif not.
- 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_glue as glue # parameters: Any # skewed_column_value_location_maps: Any storage_descriptor_property = glue.CfnPartition.StorageDescriptorProperty( bucket_columns=["bucketColumns"], columns=[glue.CfnPartition.ColumnProperty( name="name", # the properties below are optional comment="comment", type="type" )], compressed=False, input_format="inputFormat", location="location", number_of_buckets=123, output_format="outputFormat", parameters=parameters, schema_reference=glue.CfnPartition.SchemaReferenceProperty( schema_id=glue.CfnPartition.SchemaIdProperty( registry_name="registryName", schema_arn="schemaArn", schema_name="schemaName" ), schema_version_id="schemaVersionId", schema_version_number=123 ), serde_info=glue.CfnPartition.SerdeInfoProperty( name="name", parameters=parameters, serialization_library="serializationLibrary" ), skewed_info=glue.CfnPartition.SkewedInfoProperty( skewed_column_names=["skewedColumnNames"], skewed_column_value_location_maps=skewed_column_value_location_maps, skewed_column_values=["skewedColumnValues"] ), sort_columns=[glue.CfnPartition.OrderProperty( column="column", # the properties below are optional sort_order=123 )], stored_as_sub_directories=False )
Attributes
- bucket_columns
A list of reducer grouping columns, clustering columns, and bucketing columns in the table.
- columns
A list of the
Columnsin the table.
- compressed
Trueif the data in the table is compressed, orFalseif not.
- input_format
SequenceFileInputFormat(binary), orTextInputFormat, or a custom format.
- location
The physical location of the table.
By default, this takes the form of the warehouse location, followed by the database location in the warehouse, followed by the table name.
- number_of_buckets
The number of buckets.
You must specify this property if the partition contains any dimension columns.
- output_format
SequenceFileOutputFormat(binary), orIgnoreKeyTextOutputFormat, or a custom format.
- parameters
The user-supplied properties in key-value form.
- schema_reference
An object that references a schema stored in the AWS Glue Schema Registry.
- serde_info
The serialization/deserialization (SerDe) information.
- skewed_info
The information about values that appear frequently in a column (skewed values).
- sort_columns
A list specifying the sort order of each bucket in the table.
- stored_as_sub_directories
Trueif the table data is stored in subdirectories, orFalseif not.