I started to play with 1.3.0 and found that there are a lot of breaking changes. Previously, I could do the following:
case class Foo(x: Int) val rdd = sc.parallelize(List(Foo(1))) import sqlContext._ rdd.registerTempTable("foo") Now, I am not able to directly use my RDD object and have it implicitly become a DataFrame. It can be used as a DataFrameHolder, of which I could write: rdd.toDF.registerTempTable("foo") But, that is kind of a pain in comparison. The other problem for me is that I keep getting a SQLException: java.sql.SQLException: Failed to start database 'metastore_db' with class loader sun.misc.Launcher$AppClassLoader@10393e97, see the next exception for details. This seems to be a dependency on Hive, when previously (1.2.0) there was no such dependency. I can open tickets for these, but wanted to ask here first....maybe I am doing something wrong? Thanks, Justin -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Did-DataFrames-break-basic-SQLContext-tp22120.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