spark集群安装部署

1.在官网下载spark安装包

# wget https://archive.apache.org/dist/spark/spark-2.4.8/spark-2.4.8-bin-hadoop2.7.tgz

2.解压

# tar -zxvf spark-2.4.8-bin-hadoop2.7.tgz -C /home/hadoop/app

3.修改配置

# cd  /home/hadoop/app/spark-2.3.1-bin-hadoop2.7/conf/
# cp spark-env.sh.template spark-env.sh
# cp slaves.template slaves
# cp spark-defaults.conf.template spark-defaults.conf
# vim spark-env.sh

添加
export HADOOP_CONF_DIR=/home/hadoop/app/hadoop-2.7.5/etc/hadoop
export HADOOP_HOME=/home/hadoop/app/hadoop-2.7.5
export JAVA_HOME=/opt/jdk1.8.0_202
export SPARK_HOME=/home/hadoop/app/spark-2.3.1-bin-hadoop2.7
export SCALA_HOME=/home/hadoop/app/scala-2.11.8
export SPARK_LOG_DIR=/home/hadoop/app/spark-2.3.1-bin-hadoop2.7/logs
export SPARK_PID_DIR=/home/hadoop/app/spark-2.3.1-bin-hadoop2.7/logs/pid

修改spark-defaults.conf
# vim spark-defaults.conf

添加
spark.eventLog.enabled                             true
spark.eventLog.dir                                 hdfs://ns1/spark/eventLog
spark.rdd.compress                                 true
spark.driver.mebaiwanry                                4G
spark.yarn.historyServer.address                   dba-01:18080
spark.history.ui.port                              18080
spark.history.fs.logDirectory                      hdfs://ns1/spark/eventLog
spark.yarn.maxAppAttempts                          4
spark.yarn.stagingDir                              hdfs://ns1/spark/stagingDir

spark.yarn.singleContainerPerNode                  false
spark.yarn.allocator.waitTime                      60s
spark.logConf                                      true
spark.ui.killEnabled                               false
spark.streaming.backpressure.initialRate           1000
spark.streaming.kafka.maxRatePerPartition         10000
spark.streaming.blockInterval                     1000
spark.streaming.backpressure.enabled              true
spark.streaming.receiver.maxRate                  10000
spark.streaming.kafka.maxRetries                  10
spark.default.parallelism                         64
spark.streaming.dynamicAllocation.enabled         false
spark.streaming.dynamicAllocation.minExecutors    1
spark.streaming.dynamicAllocation.maxExecutors    50
spark.shuffle.service.enabled             true
spark.dynamicAllocation.enabled           true
spark.dynamicAllocation.minExecutors      1
spark.dynamicAllocation.maxExecutors      20
spark.driver.maxResultSize  4g

修改slaves
# vim slaves
添加
dba-01
dba-02
dba-03

4.创建目录

# cd /home/hadoop/app/spark-2.3.1-bin-hadoop2.7
# mkdir -p logs/pid
# hdfs dfs -mkdir -p /spark/stagingDir
# hdfs dfs -mkdir -p /spark/eventLog

5.传输到其他节点

# cd /home/hadoop/app
# scp -r spark-2.3.1-bin-hadoop2.7 hadoop@dba-02:/home/hadoop/app
# scp -r spark-2.3.1-bin-hadoop2.7 hadoop@dba-03:/home/hadoop/app
# scp -r spark-2.3.1-bin-hadoop2.7 hadoop@dba-04:/home/hadoop/app
# scp -r spark-2.3.1-bin-hadoop2.7 hadoop@dba-05:/home/hadoop/app

6.任意一个节点启动spark集群

# cd /home/hadoop/app/spark-2.3.1-bin-hadoop2.7/sbin
# ./start-all.sh

7.添加spark环境变量

# vim /etc/profile
export SPARK_HOME=/home/hadoop/app/spark-2.3.1-bin-hadoop2.7
export PATH=$SPARK_HOME/bin

# source /etc/profile

标签：bin,部署,app,hadoop,集群,home,spark,hadoop2.7
来源： https://www.cnblogs.com/slqdba/p/15716631.html