SchemaInputAttribute

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

The type of the attribute, selected from a list of values.

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_ID

Required: Yes

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 first_name, middle_name, and last_name, assigning them a common groupName will 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

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

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 and shipping_address. By assigning a matchKey called address to both attributes, AWS 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.

Type: String

Length Constraints: Minimum length of 0. Maximum length of 255.

Pattern: ^[a-zA-Z_0-9- ]*$

Required: No

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