Hi Rui, If you are getting a "Connection refused" exception, You can resolve it by checking
*=> Master is running on the specific host* - *netstat -at | grep 7077* You will get something similar to: - *tcp 0 0 akhldz.master.io:7077 <http://akhldz.master.io:7077> *:* LISTEN * If that is the case, then from your worker machine do a - *host akhldz.master.io <http://akhldz.master.io> *( replace akhldz.master.io with your master host. If something goes wrong, then add a host entry in your /etc/hosts file) - *telnet akhldz.master.io <http://akhldz.master.io> 7077 *( If this is not connecting, then your worker wont connect either. ) *=> Adding Host entry in /etc/hosts* Open /etc/hosts from your worker machine and add the following entry (example) *192.168.100.20 akhldz.master.io <http://akhldz.master.io>* *PS :In the above case Pillis was having two ip addresses having same host name* eg: 192.168.100.40 s1.machine.org <http://s1.machine.org:7077/> 192.168.100.41 s1.machine.org <http://s1.machine.org:7077/> Hope that help, Please do post your stack trace if that doesn't solve your problem. On Tue, Feb 25, 2014 at 7:33 PM, Li, Rui <rui...@intel.com> wrote: > Hi Pillis, > > > > I met with the same problem here. Could you share how you solved the issue > more specifically? > > I added an entry in /etc/hosts, but it doesn't help. > > > > *From:* Pillis W [mailto:pillis.w...@gmail.com] > *Sent:* Sunday, February 09, 2014 4:49 AM > *To:* u...@spark.incubator.apache.org > *Subject:* Re: Akka Connection refused - standalone cluster using > spark-0.9.0 > > > > I fixed my issue - two IP addresses had the same hostname. > > Regards > > > > > > > > On Fri, Feb 7, 2014 at 12:59 PM, Soumya Simanta <soumya.sima...@gmail.com> > wrote: > > I see similar logs but only when I try to run a standalone Scala program. > The whole setup works just fine if I'm using the spark-shell/REPL. > > > > > > > > On Fri, Feb 7, 2014 at 3:05 PM, mohankreddy <mre...@beanatomics.com> > wrote: > > Here's more information. I have the master up but when I try to get the > workers up I am getting the following error. > > > log4j:WARN No appenders could be found for logger > (akka.event.slf4j.Slf4jLogger). > log4j:WARN Please initialize the log4j system properly. > log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for > more info. > > 14/02/07 15:01:17 INFO Worker: Using Spark's default log4j profile: > org/apache/spark/log4j-defaults.properties > 14/02/07 15:01:17 INFO Worker: Starting Spark worker yyyyyyy:58020 with 16 > cores, 67.0 GB RAM > 14/02/07 15:01:17 INFO Worker: Spark home: /opt/spark > 14/02/07 15:01:17 INFO WorkerWebUI: Started Worker web UI at > http://yyyyyyyyy:8081 > 14/02/07 15:01:17 INFO Worker: Connecting to master spark://xxxxx/:7077... > 14/02/07 15:01:17 INFO RemoteActorRefProvider$RemoteDeadLetterActorRef: > Message [org.apache.spark.deploy.DeployMessages$RegisterWorker] from > Actor[akka://sparkWorker/user/Worker#2037095035] to > > Actor[akka://sparkWorker/deadLetters] was not delivered. [1] dead letters > encountered. This logging can be turned off or adjusted with configuration > settings 'akka.log-dead-letters' and > 'akka.log-dead-letters-during-shutdown'. > > 14/02/07 15:01:37 INFO Worker: Connecting to master spark://xxxxx/:7077... > 14/02/07 15:01:37 INFO RemoteActorRefProvider$RemoteDeadLetterActorRef: > Message [org.apache.spark.deploy.DeployMessages$RegisterWorker] from > Actor[akka://sparkWorker/user/Worker#2037095035] to > Actor[akka://sparkWorker/deadLetters] was not delivered. [2] dead letters > > encountered. This logging can be turned off or adjusted with configuration > settings 'akka.log-dead-letters' and > 'akka.log-dead-letters-during-shutdown'. > > 14/02/07 15:01:57 INFO Worker: Connecting to master spark://xxxx/:7077... > 14/02/07 15:01:57 INFO RemoteActorRefProvider$RemoteDeadLetterActorRef: > Message [org.apache.spark.deploy.DeployMessages$RegisterWorker] from > Actor[akka://sparkWorker/user/Worker#2037095035] to > Actor[akka://sparkWorker/deadLetters] was not delivered. [3] dead letters > > encountered. This logging can be turned off or adjusted with configuration > settings 'akka.log-dead-letters' and > 'akka.log-dead-letters-during-shutdown'. > > 14/02/07 15:02:17 ERROR Worker: All masters are unresponsive! Giving up. > > > > PS: I masked the IPs > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Akka-Connection-refused-standalone-cluster-using-spark-0-9-0-tp1297p1311.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > > > > -- Thanks Best Regards
