Re: Exception handling in Spark throws recursive value for DF needs type error

As a side question consider the following read JDBC read val lowerBound = 1L val upperBound = 100L val numPartitions = 10 val partitionColumn = "id" val HiveDF = Try(spark.read. format("jdbc"). option("url", jdbcUrl). option("driver", HybridServerDriverName). option("

Re: Exception handling in Spark throws recursive value for DF needs type error

It would be quite trivial. None of that affects any of the Spark execution. It doesn't seem like it helps though - you are just swallowing the cause. Just let it fly? On Fri, Oct 2, 2020 at 9:34 AM Mich Talebzadeh wrote: > As a side question consider the following read JDBC read > > > val lowerB

Re: Exception handling in Spark throws recursive value for DF needs type error

Thanks Sean. I guess I was being pedantic. In any case if the source table does not exist as spark.read is a collection, then it is going to fall over one way or another! On Fri, 2 Oct 2020 at 15:55, Sean Owen wrote: > It would be quite trivial. None of that affects any of the Spark execution