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
