I don't think my driver program which is running on my local machine can connect to worker/executor machine because spark UI lists private ip's for worker machine but I can connect to master from the driver because of this setting export SPARK_PUBLIC_DNS="52.44.36.224". really not sure how to fix this or what I am missing? Any help would be great.Thanks!
On Sat, Sep 3, 2016 5:39 PM, kant kodali kanth...@gmail.com wrote: Hi Guys, I am running my driver program on my local machine and my spark cluster is on AWS. The big question is I don't know what are the right settings to get around this public and private ip thing on AWS? my spark-env.sh currently has the the following lines export SPARK_PUBLIC_DNS="52.44.36.224"export SPARK_WORKER_CORES=12export SPARK_MASTER_OPTS="-Dspark.deploy.defaultCores=4" I am seeing the lines below when I run my driver program on my local machine. not sure what is going on ? 16/09/03 17:32:15 INFO DAGScheduler: Submitting 50 missing tasks from ShuffleMapStage 0 (MapPartitionsRDD[1] at start at Consumer.java:41)16/09/03 17:32:15 INFO TaskSchedulerImpl: Adding task set 0.0 with 50 tasks16/09/03 17:32:30 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources16/09/03 17:32:45 WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
