Spark2.3.1安装

环境：

hadoop2.6.4

jdk1.8

centos4.8

步骤如下：

1.在Apache官网下载Spark2.3.1的安装包

2.上传到Linux并解压

tar -zxvf spark-2.3.1-bin-hadoop2.6.tgz -C /usr/local/
3.进入spark-2.3.1-bin-hadoop2.6/conf

cd /usr/local/spark-2.3.1-bin-hadoop2.6/conf

3.1 配置文件spark-env.sh（从spark-env.sh.template拷贝即可）
cp spark-env.sh.template spark-env.sh

export JAVA_HOME=/usr/java/jdk1.8.0_151

export HADOOP_CONF_DIR=/usr/local/hadoop-2.6.4/etc/hadoop/

export SPARK_MASTER_IP=master

export SPARK_MASTER_PORT=7077

export SPARK_WORKER_MEMORY=512m

export SPARK_WORKER_CORES=1

export SPARK_EXECUTOR_MEMORY=512m

export SPARK_EXECUTOR_CORES=1

export SPARK_WORKER_INSTANCES=1

3.2 配置文件 slaves(从slaves.template拷贝)
删除内容，并添加
slave1
slave2
slave3

3.3 配置文件spark-defaults.conf (从spark-defaults.conf.template拷贝)
 spark.master                     spark://master:7077
 spark.eventLog.enabled           true
 spark.eventLog.dir               hdfs://master:8020/spark-logs
 spark.history.fs.logDirectory     hdfs://master:8020/spark-logs

4.在HDFS中新建目录：
hdfs dfs -mkdir /spark-logs

5.执行
scp -r /usr/local/spark-2.3.1-bin-hadoop2.6/ slave1:/usr/local
scp -r /usr/local/spark-2.3.1-bin-hadoop2.6/ slave2:/usr/local
scp -r /usr/local/spark-2.3.1-bin-hadoop2.6/ slave3:/usr/local

6.启动Spark 
进入目录：
cd /usr/local/spark-2.3.1-bin-hadoop2.6/sbin
启动spark
./start-all.sh
./start-history-server.sh hdfs://master:8020/spark-logs

浏览器查看：
http://192.168.128.130:8080
http://192.168.128.130:18080

7.命令行执行Spark
./spark-submit --class org.apache.spark.examples.SparkPi --master spark://master:7077 --executor-memory 512m --total-executor-cores 2 ../lib/spark-examples-1.4.1-hadoop2.6.0.jar 1000