hadoop - Spark Standalone Mode: Worker not starting properly in cloudera -
i new spark, after installing spark using parcels available in cloudera manager.
i have configured files shown in below link cloudera enterprise:
after setup, have started nodes in spark running /opt/cloudera/parcels/spark/lib/spark/sbin/start-all.sh. couldn't run worker nodes got specified error below.
[root@localhost sbin]# sh start-all.sh org.apache.spark.deploy.master.master running process 32405. stop first. root@localhost.localdomain's password: localhost.localdomain: starting org.apache.spark.deploy.worker.worker, logging /var/log/spark/spark-root-org.apache.spark.deploy.worker.worker-1-localhost.localdomain.out localhost.localdomain: failed launch org.apache.spark.deploy.worker.worker: localhost.localdomain: @ java.lang.classloader.loadclass(libgcj.so.10) localhost.localdomain: @ gnu.java.lang.mainthread.run(libgcj.so.10) localhost.localdomain: full log in /var/log/spark/spark-root-org.apache.spark.deploy.worker.worker-1-localhost.localdomain.out localhost.localdomain:starting org.apac when run jps command, got:
23367 jps 28053 quorumpeermain 28218 secondarynamenode 32405 master 28148 datanode 7852 main 28159 namenode i couldn't run worker node properly. thought install standalone spark master , worker work on single machine. in slaves file of spark directory, given address "localhost.localdomin" host name. not aware of settings file. please 1 cloud me out installation process. couldn't run worker nodes. can start master node.
thanks & regards, bips
please notice error info below:
localhost.localdomain: @ java.lang.classloader.loadclass(libgcj.so.10) i met same error when installed , started spark master/workers on centos 6.2 x86_64 after making sure libgcj.x86_64 , libgcj.i686 had been installed on server, solved it. below solution, wish can you.
seem if java_home environment parameter didn't set correctly.
maybe, java_home links system embedded java, e.g. java version "1.5.0".
spark needs java version >= 1.6.0. if using java 1.5.0 start spark, see error info.
try export java_home="your java home path", start spark again.
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