Hi all, If you follow the example of schema merging in the spark documentation http://spark.apache.org/docs/latest/sql-programming-guide.html#schema-merging you obtain the following results when you want to load the result data :
single triple double 1 3 null 2 6 null 4 12 null 3 9 null 5 15 null 1 null 2 2 null 4 4 null 8 3 null 6 5 null 10 How to remove these null value and get something more logical like : single triple double 1 3 2 2 6 4 4 12 8 3 9 6 5 15 10 Bests, Jao
