下载spark压缩包
通过百度网盘分享的文件:spark-2.0.2-bin-hadoop2.6.tgz
链接:https://pan.baidu.com/s/1lXPExVxxdkdx1QjiLlaorw
提取码:yc69
通过百度网盘分享的文件:scala-2.11.8.tgz
链接:https://pan.baidu.com/s/1YR4enZqTgE-Yy3Jb456JIQ
提取码:yc69
1.Scala配置
- 分别在master、slave1、slave2上执行。
解压Scala压缩包,进入解压后的Scala目录
pwd
vim /root/.bashrc
添加环境变量:
text
#set scala environment
export SCALA_HOME=/usr/local/src/scala-2.11.8
export PATH=$PATH:${SCALA_HOME}/bin
#set spark environment
export SPARK_HOME=/usr/local/src/spark-2.0.2-bin-hadoop2.6
export PATH=$PATH:${SPARK_HOME}/bin
验证:
bash
scala -version
2.Spark集群配置
解压Spark压缩包
进入解压后的Spark目录
cd conf/
添加和修改slaves文件
cp slaves.template slaves
vim slaves
# 将 localhost 修改为:
slave1
slave2
添加和修改 spark-env.sh 文件
cp spark-env.sh.template spark-env.sh
vim spark-env.sh
添加配置:
text
export SCALA_HOME=/usr/local/src/scala-2.11.8
export JAVA_HOME=/usr/local/src/jdk1.8.0_181
export HADOOP_HOME=/usr/local/src/hadoop-2.6.1
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
SPARK_MASTER_WEBUI_PORT=8989
SPARK_MASTER_IP=master
SPARK_LOCAL_DIRS=/usr/local/src/spark-2.0.2-bin-hadoop2.6
SPARK_DRIVER_MEMORY=1G
分发Spark到slave节点
# 进入 /usr/local/src 目录
scp -rp spark-2.0.2-bin-hadoop2.6/ slave1:`pwd`
scp -rp spark-2.0.2-bin-hadoop2.6/ slave2:`pwd`
3.启动集群
cd sbin/
./start-all.sh
jps
4.网页监控面板
master:8989
5.验证
进入Spark目录
# 集群 Standalone
./bin/spark-submit --class org.apache.spark.examples.SparkPi --master spark://master:7077 ./examples/jars/spark-examples_2.11-2.0.2.jar 10
# 集群 spark on Yarn
./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-cluster ./examples/jars/spark-examples_2.11-2.0.2.jar 10