This shows that both the tables have matching records and no mismatches. Therefore obviously you have the same results irrespective of whether you use right or left join.
I think that there is no problem here, unless I am missing something. Regards, Gourav On Mon, May 2, 2016 at 7:48 PM, kpeng1 <kpe...@gmail.com> wrote: > Also, the results of the inner query produced the same results: > sqlContext.sql("SELECT s.date AS edate , s.account AS s_acc , d.account > AS > d_acc , s.ad as s_ad , d.ad as d_ad , s.spend AS s_spend , > d.spend_in_dollar AS d_spend FROM swig_pin_promo_lt s INNER JOIN > dps_pin_promo_lt d ON (s.date = d.date AND s.account = d.account AND s.ad > = > d.ad) WHERE s.date >= '2016-01-03' AND d.date >= '2016-01-03'").count() > RESULT:23747 > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Weird-results-with-Spark-SQL-Outer-joins-tp26861p26863.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 > >