Hi,
SQL on spark 1.0 is an interesting feature. It works fine when the "record"
is made of a case-class.
The issue I have is that I have around 50 attributes per record. scala
Case-class can not handle that (hard-coded limit is 22 for some reason). So
I created a regular class and defined the attributes in there.
// When running for the case-class I remove the "new"
val rdd = sc.textFile("myrecords.csv").map(line => new
Record(line.split(",")))
rdd.registerAsTable("records")
// This works
// case class Record(first:String, second:String, third:String)
// This causes the registerAsTable to fail
class Record (list:Array[String]) {
val first = list(0)
val second = list(1)
val third = list(3)
}
When compiling, I get the following error:
value registerAsTable is not a member of org.apache.spark.rdd.RDD[Record]
What I'm I missing here? or is SQL/Spark 1.0 only capable of dealing with
data set with 22-coloumns max?
Regards,
- Kefah.
