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( schemaName='string', description='string', mappedInputFields=[ { 'fieldName': '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'|'IPV4'|'IPV6'|'MAID', 'groupName': 'string', 'matchKey': 'string', 'subType': 'string', 'hashed': True|False }, ] ) - Parameters:
- schemaName (string) – - [REQUIRED] - The name of the schema. There can’t be multiple - SchemaMappingswith the same name.
- description (string) – A description of the schema. 
- mappedInputFields (list) – - [REQUIRED] - A list of - MappedInputFields. Each- MappedInputFieldcorresponds to a column the source data table, and contains column name plus additional information that Entity Resolution uses for matching.- (dict) – - A configuration object for defining input data fields in Entity Resolution. The - SchemaInputAttributespecifies how individual fields in your input data should be processed and matched.- fieldName (string) – [REQUIRED] - A string containing the field name. 
- type (string) – [REQUIRED] - The type of the attribute, selected from a list of values. - LiveRamp supports: - 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|- EMAIL_ADDRESS|- UNIQUE_ID|- PROVIDER_ID- TransUnion supports: - NAME|- NAME_FIRST|- NAME_LAST|- ADDRESS|- ADDRESS_CITY|- ADDRESS_STATE|- ADDRESS_COUNTRY|- ADDRESS_POSTALCODE|- PHONE_NUMBER|- EMAIL_ADDRESS|- UNIQUE_ID|- IPV4|- IPV6|- MAID- Unified ID 2.0 supports: - PHONE_NUMBER|- EMAIL_ADDRESS|- UNIQUE_ID- Note- Normalization is only supported for - NAME,- ADDRESS,- PHONE, and- EMAIL_ADDRESS.- If you want to normalize - NAME_FIRST,- NAME_MIDDLE, and- NAME_LAST, you must group them by assigning them to the- NAME- groupName.- If you want to normalize - ADDRESS_STREET1,- ADDRESS_STREET2,- ADDRESS_STREET3,- ADDRESS_CITY,- ADDRESS_STATE,- ADDRESS_COUNTRY, and- ADDRESS_POSTALCODE, you must group them by assigning them to the- ADDRESS- groupName.- If you want to normalize - PHONE_NUMBERand- PHONE_COUNTRYCODE, you must group them by assigning them to the- PHONE- groupName.
- 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 - NAME_FIRST,- NAME_MIDDLE, and- NAME_LAST, assigning them a common- groupNamewill 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_addressand- shipping_address. By assigning a- matchKeycalled- addressto both attributes, Entity Resolution will match records across these fields to create a consolidated matching group.- If no - matchKeyis 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. 
- 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 to - FALSE, the column values are cleartext.
 
 
 
- Return type:
- dict 
- Returns:
- Response Syntax- { 'schemaName': 'string', 'schemaArn': 'string', 'description': 'string', 'mappedInputFields': [ { 'fieldName': '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'|'IPV4'|'IPV6'|'MAID', 'groupName': 'string', 'matchKey': 'string', 'subType': 'string', 'hashed': True|False }, ] } - Response Structure- (dict) – - schemaName (string) – - The name of the schema. 
- schemaArn (string) – - The ARN (Amazon Resource Name) that Entity Resolution generated for the - SchemaMapping.
- description (string) – - A description of the schema. 
- mappedInputFields (list) – - A list of - MappedInputFields. Each- MappedInputFieldcorresponds to a column the source data table, and contains column name plus additional information that Entity Resolution uses for matching.- (dict) – - A configuration object for defining input data fields in Entity Resolution. The - SchemaInputAttributespecifies how individual fields in your input data should be processed and matched.- fieldName (string) – - A string containing the field name. 
- type (string) – - The type of the attribute, selected from a list of values. - LiveRamp supports: - 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|- EMAIL_ADDRESS|- UNIQUE_ID|- PROVIDER_ID- TransUnion supports: - NAME|- NAME_FIRST|- NAME_LAST|- ADDRESS|- ADDRESS_CITY|- ADDRESS_STATE|- ADDRESS_COUNTRY|- ADDRESS_POSTALCODE|- PHONE_NUMBER|- EMAIL_ADDRESS|- UNIQUE_ID|- IPV4|- IPV6|- MAID- Unified ID 2.0 supports: - PHONE_NUMBER|- EMAIL_ADDRESS|- UNIQUE_ID- Note- Normalization is only supported for - NAME,- ADDRESS,- PHONE, and- EMAIL_ADDRESS.- If you want to normalize - NAME_FIRST,- NAME_MIDDLE, and- NAME_LAST, you must group them by assigning them to the- NAME- groupName.- If you want to normalize - ADDRESS_STREET1,- ADDRESS_STREET2,- ADDRESS_STREET3,- ADDRESS_CITY,- ADDRESS_STATE,- ADDRESS_COUNTRY, and- ADDRESS_POSTALCODE, you must group them by assigning them to the- ADDRESS- groupName.- If you want to normalize - PHONE_NUMBERand- PHONE_COUNTRYCODE, you must group them by assigning them to the- PHONE- groupName.
- 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 - NAME_FIRST,- NAME_MIDDLE, and- NAME_LAST, assigning them a common- groupNamewill 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_addressand- shipping_address. By assigning a- matchKeycalled- addressto both attributes, Entity Resolution will match records across these fields to create a consolidated matching group.- If no - matchKeyis 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. 
- 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 to - FALSE, the column values are cleartext.
 
 
 
 
 - Exceptions