ADVANCED_DATATYPE_FLAG

Creates a new flag column based on the values for the current source column. For example, given a source column containing zip codes, this transform can be used to flag values as true or false based on a particular timezone. The details that you can extract depend on the pattern that is detected, as described in Notes below.

Parameters

• sourceColumn – The name of a string source column.

• pattern – The pattern to extract.

• targetColumn – The name of the target column.

• advancedDataType – Can be one of Phone, Zip Code, Date Time, State, Credit Card, URL, Email, SSN, or Gender.

• filter values – List of string values that the user wants to filter the column based on.

• trueString – The true value for the target column.

• falseString – The false value for the target column.

Notes

• If advancedDataType is Phone, then the pattern can be AREA_CODE, TIME_ZONE, or COUNTRY_CODE.

• If advancedDataType is Zip Code, then the pattern can be TIME_ZONE, COUNTRY, STATE, CITY, TYPE, or REGION.

• If advancedDataType is Date Time, then the pattern can be DAY, MONTH, MONTH_NAME, WEEK, QUARTER, or YEAR.

• If advancedDataType is State, then the pattern can be TIME_ZONE.

• If advancedDataType is Credit Card, then the pattern can be LENGTH or NETWORK.

• If advancedDataType is URL, then the pattern can be PROTOCOL, TLD, or DOMAIN.

Example

{
    "RecipeAction": {
        "Operation": "ADVANCED_DATATYPE_FLAG",
        "Parameters": {
            "pattern": "AREA_CODE",
            "sourceColumn": "phoneColumn",
            "advancedDataType": "Phone",
            "filterValues": ['Ohio'],
            "targetColumn": "targetColumnName",
            "trueString": "trueValue",
            "falseString": "falseValue"
        }
    }
}