Which version of spark are you running?
On Fri, Mar 21, 2014 at 10:45 PM, Kane <kane.ist...@gmail.com> wrote: > I have a huge 2.5TB file. When i run: > val t = sc.textFile("/user/hdfs/dump.csv") > t.distinct.count > > It fails right away with a lot of: > > Loss was due to java.lang.ArrayIndexOutOfBoundsException > java.lang.ArrayIndexOutOfBoundsException: 1 > at $line59.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:18) > at $line59.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:16) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at > org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:58) > at > > org.apache.spark.rdd.PairRDDFunctions$$anonfun$1.apply(PairRDDFunctions.scala:95) > at > > org.apache.spark.rdd.PairRDDFunctions$$anonfun$1.apply(PairRDDFunctions.scala:94) > at org.apache.spark.rdd.RDD$$anonfun$3.apply(RDD.scala:471) > at org.apache.spark.rdd.RDD$$anonfun$3.apply(RDD.scala:471) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:34) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:161) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:102) > at org.apache.spark.scheduler.Task.run(Task.scala:53) > at > > org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:213) > at > > org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:46) > at > > org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:45) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:396) > at > > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408) > at > org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:45) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178) > at > > java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) > at > > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908) > at java.lang.Thread.run(Thread.java:662) > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/distinct-on-huge-dataset-tp3025.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. >