It was a DNS issue. AKKA apparently uses the hostname of the endpoints and hence they need to be resolvable. In my case the hostname of the docker container was a randomly generated string and was not resolvable. I added a workaround (entry in etc/hosts file of spark master) for now. If anyone can point to a more elegant solution, that would be awesome!
On Tue, Jun 17, 2014 at 3:48 PM, Mohit Jaggi <mohitja...@gmail.com> wrote: > I am using cutting edge code from git but doing my own sbt assembly. > > > On Mon, Jun 16, 2014 at 10:28 PM, Andre Schumacher < > schum...@icsi.berkeley.edu> wrote: > >> >> Hi, >> >> are you using the amplab/spark-1.0.0 images from the global registry? >> >> Andre >> >> On 06/17/2014 01:36 AM, Mohit Jaggi wrote: >> > Hi Folks, >> > >> > I am having trouble getting spark driver running in docker. If I run a >> > pyspark example on my mac it works but the same example on a docker >> image >> > (Via boot2docker) fails with following logs. I am pointing the spark >> driver >> > (which is running the example) to a spark cluster (driver is not part of >> > the cluster). I guess this has something to do with docker's networking >> > stack (it may be getting NAT'd) but I am not sure why (if at all) the >> > spark-worker or spark-master is trying to create a new TCP connection to >> > the driver, instead of responding on the connection initiated by the >> driver. >> > >> > I would appreciate any help in figuring this out. >> > >> > Thanks, >> > >> > Mohit. >> > >> > --------logs-------- >> > >> > Spark Executor Command: "java" "-cp" >> > >> "::/home/ayasdi/spark/conf:/home/xxxx/spark/assembly/target/scala-2.10/spark-assembly-1.0.0-hadoop1.0.4.jar" >> > "-Xms2g" "-Xmx2g" "-Xms512M" "-Xmx512M" >> > "org.apache.spark.executor.CoarseGrainedExecutorBackend" >> > "akka.tcp://spark@fc31887475e3:43921/user/CoarseGrainedScheduler" "1" >> > "cobalt" "24" "akka.tcp://sparkWorker@aaaa:33952/user/Worker" >> > "app-20140616152201-0021" >> > >> > ======================================== >> > >> > >> > log4j:WARN No appenders could be found for logger >> > (org.apache.hadoop.conf.Configuration). >> > >> > log4j:WARN Please initialize the log4j system properly. >> > >> > log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig >> for >> > more info. >> > >> > 14/06/16 15:22:05 INFO SparkHadoopUtil: Using Spark's default log4j >> > profile: org/apache/spark/log4j-defaults.properties >> > >> > 14/06/16 15:22:05 INFO SecurityManager: Changing view acls to: >> ayasdi,root >> > >> > 14/06/16 15:22:05 INFO SecurityManager: SecurityManager: authentication >> > disabled; ui acls disabled; users with view permissions: Set(xxx, xxx) >> > >> > 14/06/16 15:22:05 INFO Slf4jLogger: Slf4jLogger started >> > >> > 14/06/16 15:22:05 INFO Remoting: Starting remoting >> > >> > 14/06/16 15:22:06 INFO Remoting: Remoting started; listening on >> addresses >> > :[akka.tcp://sparkExecutor@aaaa:33536] >> > >> > 14/06/16 15:22:06 INFO Remoting: Remoting now listens on addresses: >> > [akka.tcp://sparkExecutor@aaaa:33536] >> > >> > 14/06/16 15:22:06 INFO CoarseGrainedExecutorBackend: Connecting to >> driver: >> > akka.tcp://spark@fc31887475e3:43921/user/CoarseGrainedScheduler >> > >> > 14/06/16 15:22:06 INFO WorkerWatcher: Connecting to worker >> > akka.tcp://sparkWorker@aaaa:33952/user/Worker >> > >> > 14/06/16 15:22:06 WARN Remoting: Tried to associate with unreachable >> remote >> > address [akka.tcp://spark@fc31887475e3:43921]. Address is now gated for >> > 60000 ms, all messages to this address will be delivered to dead >> letters. >> > >> > 14/06/16 15:22:06 ERROR CoarseGrainedExecutorBackend: Driver >> Disassociated >> > [akka.tcp://sparkExecutor@aaaa:33536] -> [akka.tcp://spark@fc31887475e3 >> :43921] >> > disassociated! Shutting down. >> > >> >> >
