Spark full transformation cycle.

spark.read.format("csv").option("header","true").load("in/file.csv"); def p(row: Row) = Row(row.getString(0).toUpperCase,row.getString(1),row.getString(2)); rddData.map(p).foreach(println); var transform = inFile.map(row=>(row.getString(0),row.getString(1),row.getString(2),"XXXXXXXXXXXXXXXX")). transform.write.format("csv").option("header","false").save("out/names.csv");