I have a scala program in which I have implemented a secondary sort which
works perfectly. The way I have written that program is:
object rfmc {
// Custom Key and partitioner
case class RFMCKey(cId: String, R: Double, F: Double, M: Double, C: Double)
class RFMCPartitioner(partitions: Int) extends Partitioner {
require(partitions >= 0, "Number of partitions ($partitions) cannot be
negative.")
override def numPartitions: Int = partitions
override def getPartition(key: Any): Int = {
val k = key.asInstanceOf[RFMCKey]
k.cId.hashCode() % numPartitions
}
}
object RFMCKey {
implicit def orderingBycId[A <: RFMCKey] : Ordering[A] = {
Ordering.by(k => (k.R, k.F * -1, k.M * -1, k.C * -1))
}
}
// The body of the code
//
//
val x = rdd.map(RFMCKey(cust,r,f,m,c), r+","+f+","+m+","+c)
val y = x.repartitionAndSortWithinPartitions(new RFMCPartitioner(1))}
I wanted to implement the same thing using clojure's DSL for spark called
flambo. Since I can't write partitioner using clojure, I re-used the code
defind above, compiled it and used it as a dependency in my Clojure code.
Now I am importing the partitioner and the key in my clojure code the
following way:
(ns xyz
(:import
[package RFMCPartitioner]
[package RFMCKey]
)
)
But when I try to create RFMCKey by doing (RFMCKey. cust_id r f m c), it
throws the following error:
java.lang.ClassCastException: org.formcept.wisdom.RFMCKey cannot be cast to
java.lang.Comparable
at
org.spark-project.guava.collect.NaturalOrdering.compare(NaturalOrdering.java:28)
at
scala.math.LowPriorityOrderingImplicits$$anon$7.compare(Ordering.scala:153)
at
org.apache.spark.util.collection.ExternalSorter$$anon$8.compare(ExternalSorter.scala:170)
at
org.apache.spark.util.collection.ExternalSorter$$anon$8.compare(ExternalSorter.scala:164)
at
org.apache.spark.util.collection.TimSort.countRunAndMakeAscending(TimSort.java:252)
at org.apache.spark.util.collection.TimSort.sort(TimSort.java:110)
at org.apache.spark.util.collection.Sorter.sort(Sorter.scala:37)
at
org.apache.spark.util.collection.SizeTrackingPairBuffer.destructiveSortedIterator(SizeTrackingPairBuffer.scala:83)
at
org.apache.spark.util.collection.ExternalSorter.partitionedIterator(ExternalSorter.scala:687)
at
org.apache.spark.util.collection.ExternalSorter.iterator(ExternalSorter.scala:705)
at
org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:64)
at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:70)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:242)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
My guess is that its not able to find the ordering that I have defined
after the partitioner. But if it works in Scala, why doesn't it work in
Clojure?
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