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
– Thetrue
value for the target column. -
falseString
– Thefalse
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"
}
}
}