Java - Spark SQL DataFrame map function is not working

Question

In Spark SQL when I tried to use map function on DataFrame then I am getting below error.

The method map(Function1, ClassTag) in the type DataFrame is not applicable for the arguments (new Function(){})

I am following spark 1.3 documentation as well. https://spark.apache.org/docs/latest/sql-programming-guide.html#inferring-the-schema-using-reflection Have any one solution?

Here is my testing code.

   // SQL can be run over RDDs that have been registered as tables.
DataFrame teenagers = sqlContext.sql("SELECT name FROM people WHERE age >= 13 AND age <= 19");

List<String> teenagerNames = teenagers.map(
            new Function<Row, String>() {
          public String call(Row row) {
            return "Name: " + row.getString(0);
          }
        }).collect();

Answer 1

Change this to:

Java 6 & 7

List<String> teenagerNames = teenagers.javaRDD().map(
    new Function<Row, String>() {
    public String call(Row row) {
        return "Name: " + row.getString(0);
    }
}).collect();

Java 8

List<String> t2 = teenagers.javaRDD().map(
    row -> "Name: " + row.getString(0)
).collect();

Once you call javaRDD() it works just like any other RDD map function.

This works with Spark 1.3.0 and up.