单机基于docker搭建hadoop2.7.1 spark1.7 高可用集群

获取ubuntu镜像

sudo docker pull ubuntu

分别下载 spark1.7 hadoop2.7.1 scala1.1 zookeeper3.4.6 jdk1.8 解压后放置本地文件夹用于挂载到容器中

并在文件夹下创建文件

authorized_keys

hosts

本例目录使用/home/docker/config

启动容器

sudo docker run --name installspark -v /home/docker/config/:/config -it ubuntu:14.04

安装

启动后在容器内/config文件夹下能够看到放置的安装文件

安装jdk,scala :

vim ~/.bashrc

追加:

/usr/sbin/sshd
cat /config/hosts > /etc/hosts
cat /config/authorized_keys > /root/.ssh/authorized_keys
export JAVA_HOME=/usr/lib/jvm/java-8-sun
export PATH=${JAVA_HOME}/bin:$PATH
export HADOOP_HOME=/opt/hadoop
export PATH=${HADOOP_HOME}/bin:$PATH
export SCALA_HOME=/opt/scala 
export PATH=${SCALA_HOME}/bin:$PATH
export SPARK_HOME=/opt/spark
export PATH=${SPARK_HOME}/bin:$PATH

拷贝 spark/hadoop/zookeeper到/opt下

安装hadoop:

创建文件夹:/opt/hadoop/namenode /opt/hadoop/datanode /opt/hadoop/tmp /opt/hadoop/journal

root@nn1:/opt/hadoop/etc/hadoop# vim hadoop-env.sh

修改:

export JAVA_HOME=/usr/lib/jvm/java-8-sun

root@nn1:/opt/hadoop/etc/hadoop# vim core-site.xml 
添加:

fs.defaultFS
hdfs://ns1


hadoop.tmp.dir
/opt/hadoop/tmp


ha.zookeeper.quorum
dnzk1:2181,dnzk2:2181,dnzk3:2181

root@nn1:/opt/hadoop/etc/hadoop#vim hdfs-site.xml
添加:

 dfs.datanode.data.dir
 file:/opt/hadoop/datanode
 
 
 dfs.namenode.name.dir
 file:/opt/hadoop/namenode
 

dfs.nameservices
ns1


dfs.ha.namenodes.ns1
nn1,nn2


dfs.namenode.rpc-address.ns1.nn1
nn1:9000


dfs.namenode.http-address.ns1.nn1
nn1:50070


dfs.namenode.rpc-address.ns1.nn2
nn2:9000


dfs.namenode.http-address.ns1.nn2
nn2:50070


dfs.namenode.shared.edits.dir
qjournal://dnzk1:8485;dnzk2:8485;dnzk3:8485/ns1


dfs.journalnode.edits.dir
/opt/hadoop/journal


        dfs.journalnode.http-address
        0.0.0.0:8480


        dfs.journalnode.rpc-address
        0.0.0.0:8485


dfs.ha.automatic-failover.enabled
true


dfs.client.failover.proxy.provider.ns1
org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider


dfs.ha.fencing.methods

        sshfence
        shell(/bin/true)



dfs.ha.fencing.ssh.private-key-files
/root/.ssh/id_rsa


dfs.ha.fencing.ssh.connect-timeout
30000


        dfs.permissions
        false

vim mapred-site.xml
添加:

	mapreduce.framework.name
	yarn

root@nn1:/opt/hadoop# vim /opt/hadoop/etc/hadoop/yarn-site.xml

添加:

                yarn.resourcemanager.ha.enabled
                true
        
        
                yarn.resourcemanager.cluster-id
                RM_HA_ID
        
        
                yarn.resourcemanager.ha.rm-ids
                rm1,rm2
        
        
                yarn.resourcemanager.hostname.rm1
                rm1
        
        
                yarn.resourcemanager.hostname.rm2
                rm2
        
        
                yarn.resourcemanager.recovery.enabled
                true
        
        
 yarn.resourcemanager.store.class org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore   yarn.resourcemanager.zk-address dnzk1:2181,dnzk2:2181,dnzk3:2181   yarn.nodemanager.aux-services mapreduce_shuffle  
  
 
   
  
 
  
root@nn1:/opt/hadoop# vim /opt/hadoop/etc/hadoop/slaves
 
  
添加:
 
  
 
  
dnzk1
dnzk2
dnzk3
 
  

 
  
 
  
 
  
安装spark
 
  root@nn1:/opt/spark/conf# vim spark-env.sh
 添加:
 
  
export SPARK_MASTER_IP=nn1   
export SPARK_WORKER_MEMORY=256m
export JAVA_HOME=/usr/lib/jvm/java-8-sun
export SCALA_HOME=/opt/scala
export SPARK_HOME=/opt/spark
export HADOOP_CONF_DIR=/opt/hadoop/etc/hadoop
export SPARK_LIBRARY_PATH=$$SPARK_HOME/lib
export SCALA_LIBRARY_PATH=$SPARK_LIBRARY_PATH
export SPARK_WORKER_CORES=1
export SPARK_WORKER_INSTANCES=1
export SPARK_MASTER_PORT=7077
 
  
 root@nn1:/opt/spark/conf# vim slaves 
  
 
  
添加:
 
  
nn1
nn2
rm1
rm2
dnzk1
dnzk2
dnzk3
 
  
 
  
 
  
安装zookeeper
 
  
 
  
创建文件夹 /opt/zookeeper/tmp 
 创建文件 /opt/zookeeper/tmp/myid
 echo 1 > /opt/zookeeper/tmp/myid
 root@nn1:/opt/zookeeper/conf# vim zoo.cfg
 修改
 
  
dataDir=/opt/zookeeper/tmp
server.1=dnzk1:2888:3888
server.2=dnzk2:2888:3888
server.3=dnzk3:2888:3888
 
  
 
  
 
  
 
  
生成密钥
 
   
  
ssh-keygen -t dsa
 
  
 追加id_dsa.pub到宿主机的/home/docker/config/authorized_keys文件 
  
 
  
root@nn1:/opt/hadoop# cat ~/.ssh/id_dsa.pub
 
  
执行
 
  
 
  
sudo docker commit -m "namenode1" installspark ubuntu:ns1
 
  
 
  

 修改本地宿主机/home/docker/config/hosts文件
 添加
 
  
 
  
172.17.0.11	nn1
172.17.0.12     nn2
172.17.0.13     rm1
172.17.0.14     rm2
172.17.0.15     dnzk1
172.17.0.16     dnzk2
172.17.0.17     dnzk3
 
  
 
  

 
  
启动docker
 
  
 
  
sudo docker run --name dnzk1 -h dnzk1 --net=none -p 2185:2181 -p 50075:50070 -p 9005:9000 -p 8485:8485 -p 7075:7077 -p 2885:2888 -v /home/docker/config/:/config -it spark1_7-hadoop2_7_1-scala1_1:basic
sudo docker run --name dnzk2 -h dnzk2 --net=none -p 2186:2181 -p 50076:50070 -p 9006:9000 -p 8486:8485 -p 7076:7077 -p 2886:2888 -v /home/docker/config/:/config -it spark1_7-hadoop2_7_1-scala1_1:basic
sudo docker run --name dnzk3 -h dnzk3 --net=none -p 2186:2181 -p 50076:50070 -p 9006:9000 -p 8486:8485 -p 7076:7077 -p 2887:2888 -v /home/docker/config/:/config -it spark1_7-hadoop2_7_1-scala1_1:basic
sudo docker run --name nn1 -h nn1 --net=none -p 2181:2181 -p 50071:50070 -p 9001:9000 -p 8481:8485 -p 7071:7077 -p 2881:2888 -v /home/docker/config/:/config -it spark1_7-hadoop2_7_1-scala1_1:basic
sudo docker run --name nn2 -h nn2 --net=none -p 2182:2181 -p 50072:50070 -p 9002:9000 -p 8482:8485 -p 7072:7077 -p 2882:2888 -v /home/docker/config/:/config -it spark1_7-hadoop2_7_1-scala1_1:basic
sudo docker run --name rm1 -h rm1 --net=none -p 2183:2181 -p 50073:50070 -p 9003:9000 -p 8483:8485 -p 7073:7077 -p 2883:2888 -v /home/docker/config/:/config -it spark1_7-hadoop2_7_1-scala1_1:basic
sudo docker run --name rm2 -h rm2 --net=none -p 2184:2181 -p 50074:50070 -p 9004:9000 -p 8484:8485 -p 7074:7077 -p 2884:2888 -v /home/docker/config/:/config -it spark1_7-hadoop2_7_1-scala1_1:basic
dnzk2(执行echo 2 > /opt/zookeeper/tmp/myid),dnzk2(执行echo 3 > /opt/zookeeper/tmp/myid) 
  
 
  
 
  
配置网络
 
  
 
  
 
  
sudo pipework docker0 -i eth0 nn1 172.17.0.11/16
sudo pipework docker0 -i eth0 nn2 172.17.0.12/16
sudo pipework docker0 -i eth0 rm1 172.17.0.13/16
sudo pipework docker0 -i eth0 rm2 172.17.0.14/16
sudo pipework docker0 -i eth0 dnzk1 172.17.0.15/16
sudo pipework docker0 -i eth0 dnzk2 172.17.0.16/16
sudo pipework docker0 -i eth0 dnzk3 172.17.0.17/16
 
  
 
  
 
  
 
  
 
  
 
   
启动hadoop集群
 
  
 
  在dnzk1/dnzk2/dnzk3上启动zookeeper和 hadoop journal
 
  
/opt/zookeeper/bin/zkServer.sh start
/opt/hadoop/sbin/hadoop-daemon.sh start journalnode
 
  
 在nn1上格式化zookeeper启动和format hadoop 
  
 
  
/opt/hadoop/bin/hdfs namenode -format
 
  
scp -r /opt/hadoop/namenode/ nn2:/opt/hadoop/
 
  
或
 
  
/opt/hadoop/bin/hdfs namenode -bootstrapStandby
 
  
 
  
/opt/hadoop/bin/hdfs zkfc -formatZK
 
  
 
  
/opt/hadoop/sbin/start-dfs.sh
 
  
 
  
 
  
 在rm1上启动yarn 
  
/opt/hadoop/sbin/start-yarn.sh
 
  
 在rm2上启动 
  
/opt/hadoop/sbin/yarn-daemon.sh start resourcemanager
 
  
 
  
启动spark
 
  
 
  
/opt/spark/sbin/start-all.sh
 
  
 
  
 
  
 
  
 查看: 
  
 http://172.17.0.11:50070 (active) 
  
 
  
http://172.17.0.12:50070(standby)
 
  

 
  
启动后集群服务情况
 
  
nn1        172.17.0.11        jdk、hadoop                   NameNode、DFSZKFailoverController(zkfc)
 
  
nn2        172.17.0.12        jdk、hadoop                   NameNode、DFSZKFailoverController(zkfc)
 
  
rm1        172.17.0.13        jdk、hadoop                   ResourceManager
 
  
rm2        172.17.0.14        jdk、hadoop                   ResourceManager
 
  
dnzk1      172.17.0.15        jdk、hadoop、zookeeper        DataNode、NodeManager、JournalNode、QuorumPeerMain
 
  
dnzk2      172.17.0.16        jdk、hadoop、zookeeper        DataNode、NodeManager、JournalNode、QuorumPeerMain
 
  
dnzk3      172.17.0.17        jdk、hadoop、zookeeper        DataNode、NodeManager、JournalNode、QuorumPeerMain