spark 环境搭建

 

vim /etc/profile

#java enviroment config
JAVA_HOME=/opt/jdk1.8.0_45
JAVA_JRE=${JAVA_HOME}/jre
CLASS_PATH=${JAVA_HOME}/lib:${JAVA_JRE}/lib
PATH=$PATH:${JAVA_HOME}/bin

#scala enviroment config
PATH=$PATH:/opt/scala-2.11.6/bin

#sprk enviroment config
SPARK_HOME=/opt/spark-1.4.0-bin-hadoop2.6
PATH=$PATH:${SPARK_HOME}/bin

#hadoop enviroment config
HADOOP_HOME=/opt/hadoop-2.7.0
PATH=$PATH:${HADOOP_HOME}/bin

vim /opt/spark-1.4.0-bin-hadoop2.6/conf/slaves

# A Spark Worker will be started on each of the machines listed below.
master
slave1
slave2
#localhost

vim /opt/spark-1.4.0-bin-hadoop2.6/conf/spark-env.sh

export SCALA_HOME=/opt/spark-1.4.0-bin-hadoop2.6
export JAVA_HOME=/opt/jdk1.8.0_45
export SPARK_MASTER_IP=10.211.55.7
export SPARK_WORKER_MEMORY=1024m
export master=spark://10.211.55.7:7077

 

posted @ 2015-10-20 10:32  王天泽博客  阅读(136)  评论(0)  编辑  收藏  举报