SchemaInputAttribute
A configuration object for defining input data fields in AWS Entity Resolution. The SchemaInputAttribute specifies how individual fields in your input data should be processed and matched.
Contents
- fieldName
-
A string containing the field name.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 255.
Pattern:
[a-zA-Z_0-9- ]*Required: Yes
- type
-
The type of the attribute, selected from a list of values.
Note
Normalization is only supported for
NAME,ADDRESS,PHONE, andEMAIL_ADDRESS.If you want to normalize
NAME_FIRST,NAME_MIDDLE, andNAME_LAST, you must group them by assigning them to theNAMEgroupName.If you want to normalize
ADDRESS_STREET1,ADDRESS_STREET2,ADDRESS_STREET3,ADDRESS_CITY,ADDRESS_STATE,ADDRESS_COUNTRY, andADDRESS_POSTALCODE, you must group them by assigning them to theADDRESSgroupName.If you want to normalize
PHONE_NUMBERandPHONE_COUNTRYCODE, you must group them by assigning them to thePHONEgroupName.Type: String
Valid Values:
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_IDRequired: Yes
- groupName
-
A string that instructs AWS 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, andNAME_LAST, assigning them a commongroupNamewill prompt AWS Entity Resolution to concatenate them into a single value.Type: String
Length Constraints: Minimum length of 0. Maximum length of 255.
Pattern:
[a-zA-Z_0-9- ]*Required: No
- hashed
-
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.Type: Boolean
Required: No
- matchKey
-
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_addressandshipping_address. By assigning amatchKeycalledaddressto both attributes, AWS 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.Type: String
Length Constraints: Minimum length of 0. Maximum length of 255.
Pattern:
[a-zA-Z_0-9- ]*Required: No
- subType
-
The subtype of the attribute, selected from a list of values.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 255.
Pattern:
[a-zA-Z_0-9- ]*Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
