EntityResolution / Client / update_schema_mapping
update_schema_mapping#
- EntityResolution.Client.update_schema_mapping(**kwargs)#
Updates a schema mapping.
Note
A schema is immutable if it is being used by a workflow. Therefore, you can’t update a schema mapping if it’s associated with a workflow.
See also: AWS API Documentation
Request Syntax
response = client.update_schema_mapping( description='string', mappedInputFields=[ { 'fieldName': 'string', 'groupName': 'string', 'hashed': True|False, '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' }, ], schemaName='string' )
- Parameters:
description (string) – A description of the schema.
mappedInputFields (list) –
[REQUIRED]
A list of
MappedInputFields
. EachMappedInputField
corresponds to a column the source data table, and contains column name plus additional information that Entity Resolution uses for matching.(dict) –
An object containing
FieldName
,Type
,GroupName
,MatchKey
,Hashing
, andSubType
.fieldName (string) – [REQUIRED]
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.hashed (boolean) –
Indicates if the column values are hashed in the schema input. If the value is set to
TRUE
, the column values are hashed. If the value is set toFALSE
, the column values are cleartext.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 no
matchKey
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) – [REQUIRED]
The type of the attribute, selected from a list of values.
schemaName (string) –
[REQUIRED]
The name of the schema. There can’t be multiple
SchemaMappings
with the same name.
- Return type:
dict
- Returns:
Response Syntax
{ 'description': 'string', 'mappedInputFields': [ { 'fieldName': 'string', 'groupName': 'string', 'hashed': True|False, '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' }
Response Structure
(dict) –
description (string) –
A description of the schema.
mappedInputFields (list) –
A list of
MappedInputFields
. EachMappedInputField
corresponds to a column the source data table, and contains column name plus additional information that Entity Resolution uses for matching.(dict) –
An object containing
FieldName
,Type
,GroupName
,MatchKey
,Hashing
, 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.hashed (boolean) –
Indicates if the column values are hashed in the schema input. If the value is set to
TRUE
, the column values are hashed. If the value is set toFALSE
, the column values are cleartext.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 no
matchKey
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.
Exceptions
EntityResolution.Client.exceptions.ThrottlingException
EntityResolution.Client.exceptions.InternalServerException
EntityResolution.Client.exceptions.ResourceNotFoundException
EntityResolution.Client.exceptions.AccessDeniedException
EntityResolution.Client.exceptions.ConflictException
EntityResolution.Client.exceptions.ValidationException