CfnTable
- class aws_cdk.aws_glue.CfnTable(scope, id, *, catalog_id, database_name, table_input)
Bases:
CfnResource
A CloudFormation
AWS::Glue::Table
.The
AWS::Glue::Table
resource specifies tabular data in the AWS Glue data catalog. For more information, see Defining Tables in the AWS Glue Data Catalog and Table Structure in the AWS Glue Developer Guide .- CloudformationResource:
AWS::Glue::Table
- Link:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-table.html
- 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_glue as glue # parameters: Any # skewed_column_value_location_maps: Any cfn_table = glue.CfnTable(self, "MyCfnTable", catalog_id="catalogId", database_name="databaseName", table_input=glue.CfnTable.TableInputProperty( description="description", name="name", owner="owner", parameters=parameters, partition_keys=[glue.CfnTable.ColumnProperty( name="name", # the properties below are optional comment="comment", type="type" )], retention=123, storage_descriptor=glue.CfnTable.StorageDescriptorProperty( bucket_columns=["bucketColumns"], columns=[glue.CfnTable.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.CfnTable.SchemaReferenceProperty( schema_id=glue.CfnTable.SchemaIdProperty( registry_name="registryName", schema_arn="schemaArn", schema_name="schemaName" ), schema_version_id="schemaVersionId", schema_version_number=123 ), serde_info=glue.CfnTable.SerdeInfoProperty( name="name", parameters=parameters, serialization_library="serializationLibrary" ), skewed_info=glue.CfnTable.SkewedInfoProperty( skewed_column_names=["skewedColumnNames"], skewed_column_value_location_maps=skewed_column_value_location_maps, skewed_column_values=["skewedColumnValues"] ), sort_columns=[glue.CfnTable.OrderProperty( column="column", sort_order=123 )], stored_as_sub_directories=False ), table_type="tableType", target_table=glue.CfnTable.TableIdentifierProperty( catalog_id="catalogId", database_name="databaseName", name="name" ), view_expanded_text="viewExpandedText", view_original_text="viewOriginalText" ) )
Create a new
AWS::Glue::Table
.- Parameters:
scope (
Construct
) –scope in which this resource is defined.
id (
str
) –scoped id of the resource.
catalog_id (
str
) – The ID of the Data Catalog in which to create theTable
.database_name (
str
) – The name of the database where the table metadata resides. For Hive compatibility, this must be all lowercase.table_input (
Union
[IResolvable
,TableInputProperty
,Dict
[str
,Any
]]) – A structure used to define a table.
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::Glue::Table'
- catalog_id
The ID of the Data Catalog in which to create the
Table
.
- 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 database where the table metadata resides.
For Hive compatibility, this must be all lowercase.
- 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 })
.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- table_input
A structure used to define a 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(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 CfnTable.ColumnProperty(*, name, comment=None, type=None)
Bases:
object
A 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
.
- Link:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-column.html
- 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_glue as glue column_property = glue.CfnTable.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 CfnTable.OrderProperty(*, column, sort_order)
Bases:
object
Specifies the sort order of a sorted column.
- Parameters:
column (
str
) – The name of the column.sort_order (
Union
[int
,float
]) – Indicates that the column is sorted in ascending order (== 1
), or in descending order (==0
).
- Link:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-order.html
- 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_glue as glue order_property = glue.CfnTable.OrderProperty( column="column", 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
).
SchemaIdProperty
- class CfnTable.SchemaIdProperty(*, registry_name=None, schema_arn=None, schema_name=None)
Bases:
object
A structure that contains schema identity fields.
Either this or the
SchemaVersionId
has 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 ofSchemaArn
orSchemaName
has to be provided.schema_name (
Optional
[str
]) – The name of the schema. One ofSchemaArn
orSchemaName
has to be provided.
- 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_glue as glue schema_id_property = glue.CfnTable.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
SchemaArn
orSchemaName
has to be provided.
- schema_name
The name of the schema.
One of
SchemaArn
orSchemaName
has to be provided.
SchemaReferenceProperty
- class CfnTable.SchemaReferenceProperty(*, schema_id=None, schema_version_id=None, schema_version_number=None)
Bases:
object
An 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 theSchemaVersionId
has to be provided.schema_version_id (
Optional
[str
]) – The unique ID assigned to a version of the schema. Either this or theSchemaId
has to be provided.schema_version_number (
Union
[int
,float
,None
]) – The version number of the 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_glue as glue schema_reference_property = glue.CfnTable.SchemaReferenceProperty( schema_id=glue.CfnTable.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
SchemaVersionId
has to be provided.
- schema_version_id
The unique ID assigned to a version of the schema.
Either this or the
SchemaId
has to be provided.
- schema_version_number
The version number of the schema.
SerdeInfoProperty
- class CfnTable.SerdeInfoProperty(*, name=None, parameters=None, serialization_library=None)
Bases:
object
Information about a serialization/deserialization program (SerDe) that serves as an extractor and loader.
- Parameters:
name (
Optional
[str
]) – Name of the SerDe.parameters (
Optional
[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
.
- 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_glue as glue # parameters: Any serde_info_property = glue.CfnTable.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 CfnTable.SkewedInfoProperty(*, skewed_column_names=None, skewed_column_value_location_maps=None, skewed_column_values=None)
Bases:
object
Specifies 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 (
Optional
[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.
- 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_glue as glue # skewed_column_value_location_maps: Any skewed_info_property = glue.CfnTable.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 CfnTable.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:
object
Describes 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 theColumns
in the table.compressed (
Union
[bool
,IResolvable
,None
]) –True
if the data in the table is compressed, orFalse
if 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
]) – Must be specified if the table contains any dimension columns.output_format (
Optional
[str
]) – The output format:SequenceFileOutputFormat
(binary), orIgnoreKeyTextOutputFormat
, or a custom format.parameters (
Optional
[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
]) –True
if the table data is stored in subdirectories, orFalse
if not.
- 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_glue as glue # parameters: Any # skewed_column_value_location_maps: Any storage_descriptor_property = glue.CfnTable.StorageDescriptorProperty( bucket_columns=["bucketColumns"], columns=[glue.CfnTable.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.CfnTable.SchemaReferenceProperty( schema_id=glue.CfnTable.SchemaIdProperty( registry_name="registryName", schema_arn="schemaArn", schema_name="schemaName" ), schema_version_id="schemaVersionId", schema_version_number=123 ), serde_info=glue.CfnTable.SerdeInfoProperty( name="name", parameters=parameters, serialization_library="serializationLibrary" ), skewed_info=glue.CfnTable.SkewedInfoProperty( skewed_column_names=["skewedColumnNames"], skewed_column_value_location_maps=skewed_column_value_location_maps, skewed_column_values=["skewedColumnValues"] ), sort_columns=[glue.CfnTable.OrderProperty( column="column", 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
Columns
in the table.
- compressed
True
if the data in the table is compressed, orFalse
if 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
Must be specified if the table 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
True
if the table data is stored in subdirectories, orFalse
if not.
TableIdentifierProperty
- class CfnTable.TableIdentifierProperty(*, catalog_id=None, database_name=None, name=None)
Bases:
object
A structure that describes a target table for resource linking.
- Parameters:
catalog_id (
Optional
[str
]) – The ID of the Data Catalog in which the table resides.database_name (
Optional
[str
]) – The name of the catalog database that contains the target table.name (
Optional
[str
]) – The name of the target table.
- 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_glue as glue table_identifier_property = glue.CfnTable.TableIdentifierProperty( catalog_id="catalogId", database_name="databaseName", name="name" )
Attributes
- catalog_id
The ID of the Data Catalog in which the table resides.
- database_name
The name of the catalog database that contains the target table.
- name
The name of the target table.
TableInputProperty
- class CfnTable.TableInputProperty(*, description=None, name=None, owner=None, parameters=None, partition_keys=None, retention=None, storage_descriptor=None, table_type=None, target_table=None, view_expanded_text=None, view_original_text=None)
Bases:
object
A structure used to define a table.
- Parameters:
description (
Optional
[str
]) – A description of the table.name (
Optional
[str
]) – The table name. For Hive compatibility, this is folded to lowercase when it is stored.owner (
Optional
[str
]) – The table owner. Included for Apache Hive compatibility. Not used in the normal course of AWS Glue operations.parameters (
Optional
[Any
]) – These key-value pairs define properties associated with the table.partition_keys (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,ColumnProperty
,Dict
[str
,Any
]]],None
]) – A list of columns by which the table is partitioned. Only primitive types are supported as partition keys. When you create a table used by Amazon Athena, and you do not specify anypartitionKeys
, you must at least set the value ofpartitionKeys
to an empty list. For example:"PartitionKeys": []
retention (
Union
[int
,float
,None
]) – The retention time for this table.storage_descriptor (
Union
[IResolvable
,StorageDescriptorProperty
,Dict
[str
,Any
],None
]) – A storage descriptor containing information about the physical storage of this table.table_type (
Optional
[str
]) – The type of this table. AWS Glue will create tables with theEXTERNAL_TABLE
type. Other services, such as Athena, may create tables with additional table types. AWS Glue related table types: - EXTERNAL_TABLE - Hive compatible attribute - indicates a non-Hive managed table. - GOVERNED - Used by AWS Lake Formation . The AWS Glue Data Catalog understandsGOVERNED
.target_table (
Union
[IResolvable
,TableIdentifierProperty
,Dict
[str
,Any
],None
]) – ATableIdentifier
structure that describes a target table for resource linking.view_expanded_text (
Optional
[str
]) – Included for Apache Hive compatibility. Not used in the normal course of AWS Glue operations.view_original_text (
Optional
[str
]) – Included for Apache Hive compatibility. Not used in the normal course of AWS Glue operations. If the table is aVIRTUAL_VIEW
, certain Athena configuration encoded in base64.
- 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_glue as glue # parameters: Any # skewed_column_value_location_maps: Any table_input_property = glue.CfnTable.TableInputProperty( description="description", name="name", owner="owner", parameters=parameters, partition_keys=[glue.CfnTable.ColumnProperty( name="name", # the properties below are optional comment="comment", type="type" )], retention=123, storage_descriptor=glue.CfnTable.StorageDescriptorProperty( bucket_columns=["bucketColumns"], columns=[glue.CfnTable.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.CfnTable.SchemaReferenceProperty( schema_id=glue.CfnTable.SchemaIdProperty( registry_name="registryName", schema_arn="schemaArn", schema_name="schemaName" ), schema_version_id="schemaVersionId", schema_version_number=123 ), serde_info=glue.CfnTable.SerdeInfoProperty( name="name", parameters=parameters, serialization_library="serializationLibrary" ), skewed_info=glue.CfnTable.SkewedInfoProperty( skewed_column_names=["skewedColumnNames"], skewed_column_value_location_maps=skewed_column_value_location_maps, skewed_column_values=["skewedColumnValues"] ), sort_columns=[glue.CfnTable.OrderProperty( column="column", sort_order=123 )], stored_as_sub_directories=False ), table_type="tableType", target_table=glue.CfnTable.TableIdentifierProperty( catalog_id="catalogId", database_name="databaseName", name="name" ), view_expanded_text="viewExpandedText", view_original_text="viewOriginalText" )
Attributes
- description
A description of the table.
- name
The table name.
For Hive compatibility, this is folded to lowercase when it is stored.
- owner
The table owner.
Included for Apache Hive compatibility. Not used in the normal course of AWS Glue operations.
- parameters
These key-value pairs define properties associated with the table.
- partition_keys
A list of columns by which the table is partitioned. Only primitive types are supported as partition keys.
When you create a table used by Amazon Athena, and you do not specify any
partitionKeys
, you must at least set the value ofpartitionKeys
to an empty list. For example:"PartitionKeys": []
- retention
The retention time for this table.
- storage_descriptor
A storage descriptor containing information about the physical storage of this table.
- table_type
The type of this table.
AWS Glue will create tables with the
EXTERNAL_TABLE
type. Other services, such as Athena, may create tables with additional table types.AWS Glue related table types:
EXTERNAL_TABLE - Hive compatible attribute - indicates a non-Hive managed table.
GOVERNED - Used by AWS Lake Formation . The AWS Glue Data Catalog understands
GOVERNED
.
- target_table
A
TableIdentifier
structure that describes a target table for resource linking.
- view_expanded_text
Included for Apache Hive compatibility.
Not used in the normal course of AWS Glue operations.
- view_original_text
Included for Apache Hive compatibility.
Not used in the normal course of AWS Glue operations. If the table is a
VIRTUAL_VIEW
, certain Athena configuration encoded in base64.