大数据 IMF传奇 sparkpi 运行5万次

1.这个可以运行的
 ./spark-submit   --class org.apache.spark.examples.SparkPi  --master spark://master:7077    ../lib/spark-examples-1.6.0-hadoop2.6.0.jar   1000




16/02/07 19:28:23 INFO scheduler.TaskSetManager: Finished task 993.0 in stage 0.0 (TID 993) in 29 ms on worker8 (992/1000)
16/02/07 19:28:23 INFO scheduler.TaskSetManager: Finished task 994.0 in stage 0.0 (TID 994) in 140 ms on worker5 (993/1000)
16/02/07 19:28:23 INFO scheduler.TaskSetManager: Finished task 995.0 in stage 0.0 (TID 995) in 140 ms on worker7 (994/1000)
16/02/07 19:28:23 INFO scheduler.TaskSetManager: Finished task 996.0 in stage 0.0 (TID 996) in 135 ms on worker4 (995/1000)
16/02/07 19:28:23 INFO scheduler.TaskSetManager: Finished task 998.0 in stage 0.0 (TID 998) in 124 ms on worker6 (996/1000)
16/02/07 19:28:23 INFO scheduler.TaskSetManager: Finished task 999.0 in stage 0.0 (TID 999) in 122 ms on worker8 (997/1000)
16/02/07 19:28:23 INFO scheduler.TaskSetManager: Finished task 997.0 in stage 0.0 (TID 997) in 131 ms on worker3 (998/1000)
16/02/07 19:28:23 INFO scheduler.TaskSetManager: Finished task 982.0 in stage 0.0 (TID 982) in 208 ms on worker2 (999/1000)
16/02/07 19:28:24 INFO scheduler.TaskSetManager: Finished task 935.0 in stage 0.0 (TID 935) in 1422 ms on worker1 (1000/1000)
16/02/07 19:28:24 INFO scheduler.DAGScheduler: ResultStage 0 (reduce at SparkPi.scala:36) finished in 60.116 s
16/02/07 19:28:24 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 
16/02/07 19:28:24 INFO scheduler.DAGScheduler: Job 0 finished: reduce at SparkPi.scala:36, took 62.080983 s
Pi is roughly 3.14156192






2.这个运行报错


root@master:/usr/local/spark-1.6.0-bin-hadoop2.6/bin#  ./spark-submit   --class org.apache.spark.examples.SparkPi  --master spark://master:7077   --deploy-mode cluster   --supervise      /usr/local/spark-1.6.0-bin-hadoop2.6/lib/spark-examples-1.6.0-hadoop2.6.0.jar   1000




3.运行100百万次的运行，跑不起来


root@master:/usr/local/spark-1.6.0-bin-hadoop2.6/bin#  ./spark-submit   --class org.apache.spark.examples.SparkPi  --master spark://master:7077    ../lib/spark-examples-1.6.0-hadoop2.6.0.jar   1000000


4.运行5万次
./spark-submit   --class org.apache.spark.examples.SparkPi  --master spark://master:7077    ../lib/spark-examples-1.6.0-hadoop2.6.0.jar  50000


L, 2156 bytes)
16/02/07 19:51:54 INFO scheduler.TaskSetManager: Finished task 49990.0 in stage 0.0 (TID 49990) in 41 ms on worker5 (49992/50000)
16/02/07 19:51:54 INFO scheduler.TaskSetManager: Finished task 49991.0 in stage 0.0 (TID 49991) in 141 ms on worker3 (49993/50000)
16/02/07 19:51:54 INFO scheduler.TaskSetManager: Finished task 49992.0 in stage 0.0 (TID 49992) in 140 ms on worker2 (49994/50000)
16/02/07 19:51:54 INFO scheduler.TaskSetManager: Finished task 49995.0 in stage 0.0 (TID 49995) in 130 ms on worker7 (49995/50000)
16/02/07 19:51:54 INFO scheduler.TaskSetManager: Finished task 49996.0 in stage 0.0 (TID 49996) in 129 ms on worker4 (49996/50000)
16/02/07 19:51:54 INFO scheduler.TaskSetManager: Finished task 49994.0 in stage 0.0 (TID 49994) in 138 ms on worker1 (49997/50000)
16/02/07 19:51:54 INFO scheduler.TaskSetManager: Finished task 49998.0 in stage 0.0 (TID 49998) in 120 ms on worker8 (49998/50000)
16/02/07 19:51:54 INFO scheduler.TaskSetManager: Finished task 49997.0 in stage 0.0 (TID 49997) in 124 ms on worker6 (49999/50000)
16/02/07 19:51:54 INFO scheduler.TaskSetManager: Finished task 49999.0 in stage 0.0 (TID 49999) in 115 ms on worker5 (50000/50000)
16/02/07 19:51:54 INFO scheduler.DAGScheduler: ResultStage 0 (reduce at SparkPi.scala:36) finished in 330.839 s
16/02/07 19:51:54 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 
16/02/07 19:51:54 INFO scheduler.DAGScheduler: Job 0 finished: reduce at SparkPi.scala:36, took 384.529375 s

Pi is roughly 3.141592859822136