We finally fix this in 1.5 (next release), see https://github.com/apache/spark/pull/7301
On Sat, Jul 11, 2015 at 10:32 PM, Jerry Lam <chiling...@gmail.com> wrote: > Hi guys, > > I just hit the same problem. It is very confusing when Row is not the same > Row type at runtime. The worst thing is that when I use Spark in local mode, > the Row is the same Row type! so it passes the test cases but it fails when > I deploy the application. > > Can someone suggest a workaround? > > Best Regards, > > Jerry > > > > -- > View this message in context: > http://apache-spark-developers-list.1001551.n3.nabble.com/PySpark-DataFrame-When-a-Row-is-not-a-Row-tp12210p13153.html > Sent from the Apache Spark Developers List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org > For additional commands, e-mail: dev-h...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
