Hi Michael, -dev +user
What's the query? How do you "fool spark"? Pozdrawiam, Jacek Laskowski ---- https://about.me/JacekLaskowski Mastering Spark SQL https://bit.ly/mastering-spark-sql Spark Structured Streaming https://bit.ly/spark-structured-streaming Mastering Kafka Streams https://bit.ly/mastering-kafka-streams Follow me at https://twitter.com/jaceklaskowski On Mon, Jan 15, 2018 at 10:23 AM, Michael Shtelma <mshte...@gmail.com> wrote: > Hi all, > > If I try joining the table with itself using join columns, I am > getting the following error: > "Join condition is missing or trivial. Use the CROSS JOIN syntax to > allow cartesian products between these relations.;" > > This is not true, and my join is not trivial and is not a real cross > join. I am providing join condition and expect to get maybe a couple > of joined rows for each row in the original table. > > There is a workaround for this, which implies renaming all the columns > in source data frame and only afterwards proceed with the join. This > allows us to fool spark. > > Now I am wondering if there is a way to get rid of this problem in a > better way? I do not like the idea of renaming the columns because > this makes it really difficult to keep track of the names in the > columns in result data frames. > Is it possible to deactivate this check? > > Thanks, > Michael > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >
