A matrix with about 4600 rows and somewhere around 27790 columns when executing
the following line from AtA (not sure of the exact dimensions)
/** The version of A'A that does not use GraphX */
def at_a_nongraph(op: OpAtA[_], srcRdd: DrmRdd[_]): DrmRdd[Int] = {
a vector is created whose size is causes the error. How could I have
constructed a drm that would cause this error? If the column IDs were
non-contiguous would that yield this error?
==================
14/11/12 17:56:03 ERROR executor.Executor: Exception in task 5.0 in stage 18.0
(TID 66169)
org.apache.mahout.math.IndexException: Index 27792 is outside allowable range
of [0,27789)
at
org.apache.mahout.math.AbstractVector.viewPart(AbstractVector.java:147)
at
org.apache.mahout.math.scalabindings.VectorOps.apply(VectorOps.scala:37)
at
org.apache.mahout.sparkbindings.blas.AtA$$anonfun$5$$anonfun$apply$6.apply(AtA.scala:152)
at
org.apache.mahout.sparkbindings.blas.AtA$$anonfun$5$$anonfun$apply$6.apply(AtA.scala:149)
at
scala.collection.immutable.Stream$$anonfun$map$1.apply(Stream.scala:376)
at
scala.collection.immutable.Stream$$anonfun$map$1.apply(Stream.scala:376)
at scala.collection.immutable.Stream$Cons.tail(Stream.scala:1085)
at scala.collection.immutable.Stream$Cons.tail(Stream.scala:1077)
at
scala.collection.immutable.StreamIterator$$anonfun$next$1.apply(Stream.scala:980)
at
scala.collection.immutable.StreamIterator$$anonfun$next$1.apply(Stream.scala:980)
at
scala.collection.immutable.StreamIterator$LazyCell.v$lzycompute(Stream.scala:969)
at
scala.collection.immutable.StreamIterator$LazyCell.v(Stream.scala:969)
at scala.collection.immutable.StreamIterator.hasNext(Stream.scala:974)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at
org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:137)
at org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:58)
at
org.apache.spark.shuffle.hash.HashShuffleWriter.write(HashShuffleWriter.scala:55)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:54)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)
at
java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:895)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:918)
at java.lang.Thread.run(Thread.java:695)
