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',
    'mappedInputFields': [
        {
            'fieldName': 'string',
            'groupName': 'string',
            'matchKey': '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'
        },
    ],
    '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.

    • mappedInputFields (list) –

      A list of MappedInputFields. Each MappedInputField corresponds to a column the source data table, and contains column name plus additional information Venice uses for matching.

      • (dict) –

        An object containing FieldField, Type, GroupName, and MatchKey.

        • fieldName (string) –

          A string containing the field name.

        • groupName (string) –

          Instruct 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 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, let’s consider a scenario where the source table contains various addresses, such as business_address and shipping_address. By assigning the MatchKey Address’ 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.

        • 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