Hi All, I have a scenario in (Spark scala/Hive):
Day 1: i have a file with 5 columns which needs to be processed and loaded into hive tables. day2: Next day the same feeds(file) has 8 columns(additional fields) which needs to be processed and loaded into hive tables How do we approach this problem without changing the target table schema.Is there any way we can achieve this. Thanks Anbu -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
