Hi, I'm wondering why the master is registering itself at startup, exactly 3 times (same number as the number of workers). Log excerpt: "" 2014-04-11 21:08:15,363 INFO akka.event.slf4j.Slf4jLogger: Slf4jLogger started 2014-04-11 21:08:15,478 INFO Remoting: Starting remoting 2014-04-11 21:08:15,838 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkMaster@hadoop-pg-5.cluster:7077] 2014-04-11 21:08:16,252 INFO org.apache.spark.deploy.master.Master: Starting Spark master at spark://hadoop-pg-5.cluster:7077 2014-04-11 21:08:16,299 INFO org.eclipse.jetty.server.Server: jetty-7.x.y-SNAPSHOT 2014-04-11 21:08:16,341 INFO org.eclipse.jetty.server.AbstractConnector: Started SelectChannelConnector@0.0.0.0:18080 2014-04-11 21:08:16,343 INFO org.apache.spark.deploy.master.ui.MasterWebUI: Started Master web UI at http://hadoop-pg-5.cluster:18080 2014-04-11 21:08:16,374 INFO org.apache.spark.deploy.master.Master: I have been elected leader! New state: ALIVE 2014-04-11 21:08:21,492 INFO org.apache.spark.deploy.master.Master: Registering worker hadoop-pg-5.cluster:7078 with 2 cores, 64.0 MB RAM 2014-04-11 21:08:31,362 INFO org.apache.spark.deploy.master.Master: Registering worker hadoop-pg-5.cluster:7078 with 2 cores, 64.0 MB RAM 2014-04-11 21:08:34,819 INFO org.apache.spark.deploy.master.Master: Registering worker hadoop-pg-5.cluster:7078 with 2 cores, 64.0 MB RAM ""
The workers should be hadoop-pg-7/-8/-9 This seems strange to me, or do I just interpret the log entry wrong ?!?! Perhaps this relates to my other post titled "TaskSchedulerImpl: Initial job has not accepted any resources" and both issues are caused by the same problem/misconfiguration. All the nodes can reach each other via ping and telnet on the corresponding ports. Any hints what is going wrong there? br, Gerd
