I see this error too. I have never found a fix and I've been working on this for a few months.
For me, I have 4 nodes with 46GB and 8 cores each. If I change the executor to use 8GB, if fails. If I use 6GB, it works. I request 2 cores only. On another cluster, I have different limits. My workload is extremely memory intensive and I can't even get the smaller loads to run. Every "solution" says that we have too few cores or RAM, but they are wrong. Something is either misleading or not working. I'm using 1.0.1 and 1.0.2. I have checked all nodes and see plenty of free RAM. The driver/master node will run and do it's data loading and processing, but the executors never start up, attach, connect or w/e to do the real work. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Initial-job-has-not-accepted-any-resources-tp11668p11938.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
