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

sqlDF.foreach is not working for me but Approach 1 from @Sarath Avanavu answer works but it was also playing with the order of the records sometime.

I found one more way which is working

df.collect().foreach { row =>
   println(row.mkString(","))
}