Hi, I am using spark sql to create/alter hive tables. I have a highly nested json and I am using the schemRDD to infer the schema. The json has 6 columns and 1 of the column (which is a struct) has around 60 fields (key value pairs). When I run the spark sql query for the above table, it just hangs up without any DEBUG/ERROR logs. Also if I remove a few columns or fields from the column having 60 fields, it works fine.
Is there a limit on the size of a query which is preventing me from running the spark sql query. The original query works perfectly if I use the hive client. Any help is appreciated. Thanks, Udit
