I'm trying to figure out the new dataframe API in Spark. seems like a good step forward but having trouble doing something that should be pretty simple. I have a dataframe with 2 columns, "ID" and "Amount". As a generic example, say I want to return a new column called "code" that returns a code based on the value of "Amt". I can write a functiin something like this:
def coder(myAmt:Integer):String {
if (myAmt > 100) "Little"
else "Big"
}
When I try to use it like this:
val myDF = sqlContext.parquetFile("hdfs:/to/my/file.parquet")
myDF.withColumn("Code", coder(myDF("Amt")))
I get type mismatch errors
found : org.apache.spark.sql.Column
required: Integer
I've tried changing the input type on my function to org.apache.spark.sql.Column but I then I start getting wrrors witht he function compiling because it wants a boolean in the if statement.
Am I doing this wrong? Is there a better/another way to do this than using withColumn?