EntityResolution / Client / get_schema_mapping
get_schema_mapping#
- EntityResolution.Client.get_schema_mapping(**kwargs)#
Returns the SchemaMapping of a given name.
See also: AWS API Documentation
Request Syntax
response = client.get_schema_mapping( schemaName='string' )
- Parameters:
schemaName (string) –
[REQUIRED]
The name of the schema to be retrieved.
- Return type:
dict
- Returns:
Response Syntax
{ 'createdAt': datetime(2015, 1, 1), 'description': 'string', 'hasWorkflows': True|False, 'mappedInputFields': [ { 'fieldName': 'string', 'groupName': 'string', 'matchKey': 'string', 'subType': 'string', 'type': 'NAME'|'NAME_FIRST'|'NAME_MIDDLE'|'NAME_LAST'|'ADDRESS'|'ADDRESS_STREET1'|'ADDRESS_STREET2'|'ADDRESS_STREET3'|'ADDRESS_CITY'|'ADDRESS_STATE'|'ADDRESS_COUNTRY'|'ADDRESS_POSTALCODE'|'PHONE'|'PHONE_NUMBER'|'PHONE_COUNTRYCODE'|'EMAIL_ADDRESS'|'UNIQUE_ID'|'DATE'|'STRING'|'PROVIDER_ID' }, ], 'schemaArn': 'string', 'schemaName': 'string', 'tags': { 'string': 'string' }, 'updatedAt': datetime(2015, 1, 1) }
Response Structure
(dict) –
createdAt (datetime) –
The timestamp of when the
SchemaMapping
was created.description (string) –
A description of the schema.
hasWorkflows (boolean) –
Specifies whether the schema mapping has been applied to a workflow.
mappedInputFields (list) –
A list of
MappedInputFields
. EachMappedInputField
corresponds to a column the source data table, and contains column name plus additional information Venice uses for matching.(dict) –
An object containing
FieldName
,Type
,GroupName
,MatchKey
, andSubType
.fieldName (string) –
A string containing the field name.
groupName (string) –
A string that instructs Entity Resolution to combine several columns into a unified column with the identical attribute type.
For example, when working with columns such as
first_name
,middle_name
, andlast_name
, assigning them a commongroupName
will prompt Entity Resolution to concatenate them into a single value.matchKey (string) –
A key that allows grouping of multiple input attributes into a unified matching group. For example, consider a scenario where the source table contains various addresses, such as
business_address
andshipping_address
. By assigning amatchKey
calledaddress
to both attributes, Entity Resolution will match records across these fields to create a consolidated matching group. If nomatchKey
is specified for a column, it won’t be utilized for matching purposes but will still be included in the output table.subType (string) –
The subtype of the attribute, selected from a list of values.
type (string) –
The type of the attribute, selected from a list of values.
schemaArn (string) –
The ARN (Amazon Resource Name) that Entity Resolution generated for the SchemaMapping.
schemaName (string) –
The name of the schema.
tags (dict) –
The tags used to organize, track, or control access for this resource.
(string) –
(string) –
updatedAt (datetime) –
The timestamp of when the
SchemaMapping
was last updated.
Exceptions
EntityResolution.Client.exceptions.ThrottlingException
EntityResolution.Client.exceptions.InternalServerException
EntityResolution.Client.exceptions.ResourceNotFoundException
EntityResolution.Client.exceptions.AccessDeniedException
EntityResolution.Client.exceptions.ValidationException