Hello spark folks, I have a simple spark cluster setup but I can't get jobs to run on it. I am using the standlone mode.
One master, one slave. Both machines have 32GB ram and 8 cores. The slave is setup with one worker that has 8 cores and 24GB memory allocated. My application requires 2 cores and 5GB of memory. However, I'm getting the following error: WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory What else should I check for? This is a simplified setup (the real cluster has 20 nodes). In this simplified setup I am running the master and the slave manually. The master's web page shows the worker and it shows the application and the memory/core requirements match what I mentioned above. I also tried running the SparkPi example via bin/run-example and get the same result. It requires 8 cores and 512MB of memory, which is also clearly within the limits of the available worker. Any ideas would be greatly appreciated!! Matt
