Spark集群基于Zookeeper的HA搭建部署

1.环境介绍
(1)操作系统RHEL6.2-64
(2)两个节点:spark1(192.168.232.147),spark2(192.168.232.152)
(3)两个节点上都装好了Hadoop 2.2集群
2.安装Zookeeper
(1)下载Zookeeper: http://apache.claz.org/zookeeper ... keeper-3.4.5.tar.gz
(2)解压到/root/install/目录下
(3)创建两个目录,一个是数据目录,一个日志目录
Spark集群基于Zookeeper的HA搭建部署_第1张图片 
(4)配置:进到conf目录下,把zoo_sample.cfg修改成zoo.cfg(这一步是必须的,否则zookeeper不认识zoo_sample.cfg),并添加如下内容
  1. dataDir=/root/install/zookeeper-3.4.5/data
  2. dataLogDir=/root/install/zookeeper-3.4.5/logs
  3. server.1=spark1:2888:3888
  4. server.2=spark2:2888:3888
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(5)在/root/install/zookeeper-3.4.5/data目录下创建myid文件,并在里面写1
  1. cd /root/install/zookeeper-3.4.5/data
  2. echo 1>myid
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(6)把/root/install/zookeeper-3.4.5整个目录复制到其他节点
  1. scp -r /root/install/zookeeper-3.4.5 root@spark2:/root/install/
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(7)登录到spark2节点,修改myid文件里的值,将其修改为2
  1. cd /root/install/zookeeper-3.4.5/data
  2. echo 2>myid
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(8)在spark1,spark2两个节点上分别启动zookeeper
  1. cd /root/install/zookeeper-3.4.5
  2. bin/zkServer.sh start
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(9)查看进程进否成在
  1. [root@spark2 zookeeper-3.4.5]# bin/zkServer.sh start
  2. JMX enabled by default
  3. Using config: /root/install/zookeeper-3.4.5/bin/../conf/zoo.cfg
  4. Starting zookeeper ... STARTED
  5. [root@spark2 zookeeper-3.4.5]# jps
  6. 2490 Jps
  7. 2479 QuorumPeerMain
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3.配置Spark的HA
(1)进到spark的配置目录,在spark-env.sh修改如下
  1. export SPARK_DAEMON_JAVA_OPTS="-Dspark.deploy.recoveryMode=ZOOKEEPER -Dspark.deploy.zookeeper.url=spark1:2181,spark2:2181 -Dspark.deploy.zookeeper.dir=/spark"
  2. export JAVA_HOME=/root/install/jdk1.7.0_21
  3. #export SPARK_MASTER_IP=spark1
  4. #export SPARK_MASTER_PORT=7077
  5. export SPARK_WORKER_CORES=1
  6. export SPARK_WORKER_INSTANCES=1
  7. export SPARK_WORKER_MEMORY=1g
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(2)把这个配置文件分发到各个节点上去
  1. scp spark-env.sh root@spark2:/root/install/spark-1.0/conf/
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(3)启动spark集群
  1. [root@spark1 spark-1.0]# sbin/start-all.sh 
  2. starting org.apache.spark.deploy.master.Master, logging to /root/install/spark-1.0/sbin/../logs/spark-root-org.apache.spark.deploy.master.Master-1-spark1.out
  3. spark1: starting org.apache.spark.deploy.worker.Worker, logging to /root/install/spark-1.0/sbin/../logs/spark-root-org.apache.spark.deploy.worker.Worker-1-spark1.out
  4. spark2: starting org.apache.spark.deploy.worker.Worker, logging to /root/install/spark-1.0/sbin/../logs/spark-root-org.apache.spark.deploy.worker.Worker-1-spark2.out
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(4)进到spark2(192.168.232.152)节点,把start-master.sh 启动,当spark1(192.168.232.147)挂掉时,spark2顶替当master
  1. [root@spark2 spark-1.0]# sbin/start-master.sh 
  2. starting org.apache.spark.deploy.master.Master, logging to /root/install/spark-1.0/sbin/../logs/spark-root-org.apache.spark.deploy.master.Master-1-spark2.out
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(5)查看spark1和spark2上运行的哪些进程
  1. [root@spark1 spark-1.0]# jps
  2. 5797 Worker
  3. 5676 Master
  4. 6287 Jps
  5. 2602 QuorumPeerMain
  6. [root@spark2 spark-1.0]# jps
  7. 2479 QuorumPeerMain
  8. 5750 Jps
  9. 5534 Worker
  10. 5635 Master
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4.测试HA是否生效
(1)先查看一下两个节点的运行情况,现在spark1运行了master,spark2是待命状态
 
(2)在spark1上把master服务停掉
  1. [root@spark1 spark-1.0]# sbin/stop-master.sh 
  2. stopping org.apache.spark.deploy.master.Master
  3. [root@spark1 spark-1.0]# jps
  4. 5797 Worker
  5. 6373 Jps
  6. 2602 QuorumPeerMain
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(3)用浏览器访问master的8080端口,看是否还活着。以下可以看出,master已经挂掉
 
(4)再用浏览器访问查看spark2的状态,从下图看出,spark2已经被切换当master了
 

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