scala> user
res19: org.apache.spark.sql.SchemaRDD =
SchemaRDD[0] at RDD at SchemaRDD.scala:98
== Query Plan ==
ParquetTableScan [id#0,name#1], (ParquetRelation
/user/hive/warehouse/user), None
scala> order
res20: org.apache.spark.sql.SchemaRDD =
SchemaRDD[72] at RDD at SchemaRDD.scala:98
== Query Plan ==
ParquetTableScan [id#8,userid#9,unit#10], (ParquetRelation
/user/hive/warehouse/orders), None
For joining SchemaRDD user and order, This will generate Ambiguous issue
because both of tables have 'id.
user.join(order, on=Some('id === 'userid))
How can I specify an expression which can use SchemaRDD name and column
together? Something might be like 'user.'id. This expression currently
doesn't work in Spark 1.0.0 CDH 5.1.0.
