https://community.cloudera.com/t5/Support-Questions/How-to-save-a-dataframe-as-ORC-file/m-p/144706#M107285 <P><A rel="user" href="https://community.cloudera.com/users/687/christopherwmenke.html" nodeid="687">@Kit Menke</A> isn't wrong.</P><P>Take a look at the API docs. You'll notice there are several options for creating data frames from an RDD. In your case; it looks as though you have an RDD of class type Row; so you'll need to also provide a schema to the createDataFrame() method.</P><P>Scala API docs: <A href="https://spark.apache.org/docs/2.2.0/api/scala/index.html#org.apache.spark.sql.SQLContext"> https://spark.apache.org/docs/2.2.0/api/scala/index.html#org.apache.spark.sql.SQLContext</A></P><PRE>import org.apache.spark.sql._ import org.apache.spark.sql.types._ val sqlContext = new org.apache.spark.sql.SQLContext(sc) val schema = StructType( StructField("name", StringType, false) :: StructField("age", IntegerType, true) :: Nil) val people = sc.textFile("examples/src/main/resources/people.txt").map( _.split(",")).map(p =&gt; Row(p(0), p(1).trim.toInt)) val dataFrame = sqlContext.createDataFrame(people, schema) dataFrame.printSchema // root // |-- name: string (nullable = false) // |-- age: integer (nullable = true) dataFrame.createOrReplaceTempView("people") sqlContext.sql("select name from people").collect.foreach(println)</PRE> Tue, 19 Jun 2018 06:39:50 GMT palwell 2018-06-19T06:39:50Z