1.下载Spark 3.5.0
https://spark.apache.org/downloads.html
2.安装JDK
3.安装Hadoop
4.安装Zookeeper
5.解压
mkdir /usr/spark
tar -zxvf spark-3.5.0-bin-hadoop3.tgz -C /usr/spark/
6.配置
1.修改集群节点配置,添加节点
cd /usr/spark/spark-3.5.0-bin-hadoop3/conf
mv workers.template workers
vi workers
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# A Spark Worker will be started on each of the machines listed below.
localhost
192.168.58.131
192.168.58.132
2.配置Java环境变量
mv spark-env.sh.template spark-env.sh
vi spark-env.sh
export JAVA_HOME=/usr/java/jdk8u392-b08
#Master 监控页面默认访问端口为 8080，可能会和 Zookeeper 冲突，所以改成 8989，也可以自
定义，访问 UI 监控页面时请注意
SPARK_MASTER_WEBUI_PORT=8989
export SPARK_DAEMON_JAVA_OPTS="
-Dspark.deploy.recoveryMode=ZOOKEEPER
-Dspark.deploy.zookeeper.url=192.168.58.130,192.168.58.131,192.168.58.132
-Dspark.deploy.zookeeper.dir=/spark"
3.为所有节点同步配置【略】
7.启动
/usr/spark/spark-3.5.0-bin-hadoop3/sbin/start-all.sh
8.访问WebUI
9.跑一个内置的测试任务
bin/spark-submit --class org.apache.spark.examples.SparkPi --master spark://192.168.58.130:7077 ./examples/jars/spark-examples_2.12-3.5.0.jar 10