Hello all:
I am using spark sql to join two tables. To my surprise I am
getting redundant rows. What could be the cause.
select rev.* from rev
inner join customer c
on rev.custumer_id =c.id
inner join product p
rev.sys = p.sys
rev.prin = p.prin
rev.scode= p.bcode
left join item I
on rev.sys =
Hi Team ,
We are not getting any error when retrieving the data from hive table in
PYSPARK , but getting the error ( Scala.matcherror MATERIALIZED_VIEW ( of
class org.Apache.Hadoop.hive.metastore.TableType ) . Please let me know
resolution for this ?
Thanks
