Iterate rows and columns in Spark dataframe

Question

I have the following Spark dataframe that is created dynamically:

val sf1 = StructField(\"name\", StringType, nullable = true)
val sf2 = StructField(\"sector         


        

Answer 1

You can convert Row to Seq with toSeq. Once turned to Seq you can iterate over it as usual with foreach, map or whatever you need

    sqlDF.foreach { row => 
           row.toSeq.foreach{col => println(col) }
    }

Output:

Berta
bbb
30
Joe
Andy
aaa
20
ccc
40