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: [email protected]
For additional commands, e-mail: [email protected]
