That looks like scala version mismatch. Thanks Best Regards
On Fri, Aug 14, 2015 at 9:04 PM, <saif.a.ell...@wellsfargo.com> wrote: > Hi All, > > I have a working program, in which I create two big tuples2 out of the > data. This seems to work in local but when I switch over cluster standalone > mode, I get this error at the very beggining: > > 15/08/14 10:22:25 WARN TaskSetManager: Lost task 4.0 in stage 1.0 (TID 10, > 162.101.194.44): java.lang.ClassCastException: > scala.collection.Iterator$$anon$13 cannot be cast to scala.Tuple2 > at > org.apache.spark.sql.DataFrame$$anonfun$33.apply(DataFrame.scala:1189) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:686) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:686) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:70) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > > The data comes from JDBC, but I also tried persisting it into memory to > turn it into a collection, in case JDBC was the problem. > > Any advice? > Saif > >
