What's the type of shape column ? Can you disclose what SomeUDF does (by showing the code) ?
Cheers On Tue, Jan 26, 2016 at 12:41 PM, raghukiran <raghuki...@gmail.com> wrote: > Hi, > > I create two tables, one counties with just one row (it actually has 2k > rows, but I used only one) and another hospitals, which has 6k rows. The > join command I use is as follows, which takes way too long to run and has > never finished successfully (even after nearly 10mins). The following is > what I have: > > DataFrame df1 = ... > df1.registerTempTable("hospitals"); > DataFrame df2 = ... > df2.registerTempTable("counties"); //has only one row right now > DataFrame joinDf = sqlCtx.sql("SELECT h.name, c.name FROM hospitals h JOIN > counties c ON SomeUDF(c.shape, h.location)"); > long count = joinDf.count(); //this takes too long! > > //whereas the following which is the exact equivalent of the above gets > done > very quickly! > DataFrame joinDf = sqlCtx.sql("SELECT h.name FROM hospitals WHERE > SomeUDF('c.shape as string', h.location)"); > long count = joinDf.count(); //gives me the correct answer of 8 > > Any suggestions on what I can do to optimize and debug this piece of code? > > Regards, > Raghu > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-SQL-joins-taking-too-long-tp26078.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >