All your workers go via public IP. Do you have the ports opened? Why public IP? Is it not better to use the private 10.x address?
– Best regards, Radek Gruchalski ra...@gruchalski.com On September 5, 2016 at 11:49:30 AM, kant kodali (kanth...@gmail.com) wrote: ---------- Forwarded message ---------- From: kant kodali <kanth...@gmail.com> Date: Sat, Sep 3, 2016 at 5:39 PM Subject: seeing this message repeatedly. To: "user @spark" <u...@spark.apache.org> 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=12 export 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 tasks 16/09/03 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 resources 16/09/03 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
