I'd like to allow for runtime-configured Column expressions in my
Spark SQL application. For example, if my application needs a 5-digit
zip code, but the file I'm processing contains a 9-digit zip code, I'd
like to be able to configure my application with the expression
"substring('zipCode, 0, 5)" to use for the zip code.
So, I think I'm looking for something like this:
def parseColumnExpression(colExpr: String) : Column
I see that SparkSession's sql() method exists to take a string and
parse it into a DataFrame. But that's not quite what I want.
Does a mechanism exist that would allow me to take a string
representation of a column expression and parse it into an actual
column expression (something that could be use in a .select() call,
for example)?
Thanks!
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