Schema merging is not the feature you are looking for. It is designed when
you are adding new records (that are not associated with old records),
which may or may not have new or missing columns.
In your case it looks like you have two datasets that you want to load
separately and join on a key.
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 1
