Docker搭建Spark集群，你學會了嗎？
作者：程序員千羽
原本是訪問http://10.8.46.35:8080 就可，但是我這里在配置鏡像的時候，多了8080，導致這里訪問不了。看日志可以知道，已經走向8081。
docker搭建spark集群
有個小技巧：先配置好一個，在（宿主機上）復制scp -r拷貝Spark到其他Slaves。
1.安裝配置基礎Spark
【在test-cluster-hap-master-01虛擬主機上】
將已下載好的Spark壓縮包（spark-3.1.1-bin-hadoop-3.2.2-lbx-jszt.tgz）通過工具【XFtp】拷貝到虛擬主機的opt目錄下：
2.通過腳本掛起鏡像
cd /opt/script/setup/sparktest-cluster-spk-master-01
#!/bin/bash
#編寫作者：千羽的編程時光
cname="test-cluster-spk-master-01"
#port1="8080"
#port2="7077"
log="/opt/data/"${cname}
images="10.249.0.137:80/base/jdk-1.8:20210202"
mkdir -p ${log}
mkdir ${log}/logs
mkdir ${log}/work
mkdir ${log}/data
mkdir ${log}/jars
# docker run -d --net=overlay-net --ip ${ip} -p ${port1}:${port1} -p ${port2}:${port2} --name ${cname} --hostname ${cname} --privileged=true --restart=always
docker run -d --net=host --name ${cname} --hostname ${cname} --privileged=true --restart=always \
-v ${log}/logs:/usr/local/spark-3.1.1/logs \
-v ${log}/work:/usr/local/spark-3.1.1/work \
-v ${log}/jars:/usr/local/spark-3.1.1/jars \
-v ${log}/data:/opt/data \
${images} \
/usr/sbin/inittest-cluster-spk-master-02
#!/bin/bash
cname="test-cluster-spk-master-02"
#port1="8080"
#port2="7077"
log="/opt/data/"${cname}
images="10.249.0.137:80/base/jdk-1.8:20210202"
mkdir -p ${log}
mkdir ${log}/logs
mkdir ${log}/work
mkdir ${log}/data
mkdir ${log}/jars
#docker run -d --net=overlay-net --ip ${ip} -p ${port1}:${port1} -p ${port2}:${port2} --name ${cname} --hostname ${cname} --privileged=true --restart=always
docker run -d --net=host --name ${cname} --hostname ${cname} --privileged=true --restart=always \
-v ${log}/logs:/usr/local/spark-3.1.1/logs \
-v ${log}/work:/usr/local/spark-3.1.1/work \
-v ${log}/jars:/usr/local/spark-3.1.1/jars \
-v ${log}/data:/opt/data \
${images} \
/usr/sbin/inittest-cluster-spk-slave-01
#!/bin/bash
cname="test-cluster-spk-slave-01"
#port1="8080"
#port2="7077"
log="/opt/data/"${cname}
images="10.249.0.137:80/base/jdk-1.8:20210202"
mkdir -p ${log}
mkdir ${log}/logs
mkdir ${log}/work
mkdir ${log}/data
mkdir ${log}/jars
#docker run -d --net=overlay-net --ip ${ip} -p ${port1}:${port1} -p ${port2}:${port2} --name ${cname} --hostname ${cname} --privileged=true --restart=always
docker run -d --net=host --name ${cname} --hostname ${cname} --privileged=true --restart=always \
-v ${log}/logs:/usr/local/spark-3.1.1/logs \
-v ${log}/work:/usr/local/spark-3.1.1/work \
-v ${log}/jars:/usr/local/spark-3.1.1/jars \
-v ${log}/data:/opt/data \
${images} \
/usr/sbin/init[root@zookeeper-03-test spark]# ll
總用量 4
-rw-r--r--. 1 root root 1166 7月 28 17:44 install.sh
[root@zookeeper-03-test spark]# chmod +x install.sh
[root@zookeeper-03-test spark]# ll
總用量 4
-rwxr-xr-x. 1 root root 1166 7月 28 17:44 install.sh
[root@zookeeper-03-test spark]#3.上傳spark安裝包
在容器映射目錄下 ：/opt/data/test-cluster-spk-slave-01/data
[root@hadoop-01 data]# pwd
/opt/data用Xftp上傳包
這里需要上傳兩個，使用的是spark-3.1.1-bin-without-hadoop.tgz
但是需要將spark-3.1.1-bin-hadoop-3.2.2-lbx-jszt下的jars包移到/usr/local/spark-3.1.1/jars下
4.解壓安裝包
mkdir -p /usr/local/spark-3.1.1
cd /opt/data
tar -zxvf spark-3.1.1-bin-without-hadoop.tgz -C /usr/local/spark-3.1.1
編輯全局變量
vim /etc/profile增加以下全局變量
export SPARK_HOME=/usr/local/spark-3.1.1
export PATH=$PATH:$SPARK_HOME/bin即時生效
source /etc/profile5.配置spark-env.sh
cd /usr/local/spark-3.1.1/conf
cp spark-env.sh.template spark-env.sh
vim spark-env.shexport SPARK_MASTER_IP=test-cluster-spk-master-01
export SPARK_WORKER_CORES=1
export SPARK_WORKER_MEMORY=800m
#export SPARK_DRIVER_MEMORY=4g
export SPARK_EXECUTOR_INSTANCES=2
export HADOOP_CONF_DIR=/usr/local/hadoop/etc/hadoop
export SPARK_LOCAL_DIRS=/home/hadoop/tmp/spark/tmp
#定時清理worker文件 一天一次
export SPARK_WORKER_OPTS="
-Dspark.worker.cleanup.enabled=true
-Dspark.worker.cleanup.interval=86400
-Dspark.worker.cleanup.appDataTtl=86400"
export JAVA_HOME=/usr/local/jdk1.8
export HADOOP_HOME=/usr/local/hadoop
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
export SCALA_HOME=/usr/local/scala
export PATH=${SCALA_HOME}/bin:$PATH
export SPARK_DAEMON_JAVA_OPTS="-Dspark.deploy.recoveryMode=ZOOKEEPER -Dspark.deploy.zookeeper.url=zookeeper-01-test:2181,zookeeper-02-test:2181,zookeeper-03-test:2181 -Dspark.deploy.zookeeper.dir=/usr/local/spark"（4）配置workers
cp workers.template workers
vim workers
# 添加
test-cluster-spk-slave-001
6.配置log4j.properties
cp log4j.properties.template log4j.properties
vim log4j.properties
log4j.rootCategory=WARN, console
7.復制到其他slave
（宿主機上）復制scp -r拷貝Spark到其他Slaves節點：
scp -r /usr/local/spark/spark-2.1.0-bin-hadoop2.7 root@slave-001-spark-dev:/usr/local/spark/
scp -r /usr/local/spark/spark-2.1.0-bin-hadoop2.7 root@slave-002-spark-dev:/usr/local/spark/
scp -r /usr/local/spark/spark-2.1.0-bin-hadoop2.7 root@slave-003-spark-dev:/usr/local/spark/如執行命令出現出現問題時，請現在相應的Slave節點執行mkdir -p /usr/local/spark
復制到master-02時，使用start-mater.sh啟動master-02
8.啟動spark
- 先啟動兩個master，然后啟動slave節點
[root@test-cluster-spk-master-01 sbin]# ./start-master.sh
starting org.apache.spark.deploy.master.Master, logging to /usr/local/spark-3.1.1/logs/spark-root-org.apache.spark.deploy.master.Master-1-test-cluster-spk-master-01.out
[root@test-cluster-spk-master-01 sbin]# jps
548 Jps
492 Master
[root@test-cluster-spk-master-01 sbin]# pwd
/usr/local/spark-3.1.1/sbin
[root@test-cluster-spk-master-01 sbin]#- 主節點2啟動完成
[root@test-cluster-spk-master-02 sbin]# ./start-master.sh
starting org.apache.spark.deploy.master.Master, logging to /usr/local/spark-3.1.1/logs/spark-root-org.apache.spark.deploy.master.Master-1-test-cluster-spk-master-02.out
[root@test-cluster-spk-master-02 sbin]# pwd
/usr/local/spark-3.1.1/sbin
[root@test-cluster-spk-master-02 sbin]# jps
274 Jps
218 Master
[root@test-cluster-spk-master-02 sbin]#- 從節點啟動完成
/usr/local/spark-3.1.1/sbin/start-slave.sh test-cluster-hap-slave-001 test-cluster-hap-master-02:7077,test-cluster-hap-master-02:7077- 主節點1啟動完成
9.驗證
原本是訪問http://10.8.46.35:8080 就可，但是我這里在配置鏡像的時候，多了8080，導致這里訪問不了。看日志可以知道，已經走向8081
所以http://10.8.46.35:8081/即可
主節點1 | 停掉主節點 |
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主節點2 | 從節點成為ALIVE |
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從節點1 | 從節點1 |
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10.遇到的坑
包不兼容
這里遇到了許多問題，第一個是包不兼容，導致搭建兩次失敗
然后換了官方的包spark-3.1.1-bin-without-hadoop，啟動還是有問題。
最后通過替換jars才成功。（使用spark-3.1.1-bin-hadoop-3.2.2-lbx-jszt下的jars）
ctrl + p + q 從容器退出到宿主機
done~
責任編輯：武曉燕
來源：
千羽的編程時光
