HadoopHa自动安装脚本

因渺小而伟大2024-07-20 8:20
bash 复制代码 
#!/bin/bash

software_dir=/root/hadoop/
install_dir=/opt/
hostname=(master node1 node2)

jdk_name=$(tar -tf "$software_dir"jdk*|head -n 1|sed 's|\/||')
hadoop_name=$(tar -tf "$software_dir"hadoop*|head -n 1|sed 's|\/||')
zookeeper_name=$(tar -tf "$software_dir"zookeeper*|head -n 1|sed 's|\/||')

### 搭建时间同步集群
echo =================== Start Chrony Install =====================
for host in ${hostname[@]}
do
ssh -T $host <<-EOF
[ ! \$(rpm -qa chrony) ] && yum install -y chrony &>/dev/null
[ ! \$(rpm -qa chrony) ] && echo "============ install chrony fail ==============" && exit
echo -e  >> /etc/chrony.conf
sed -i 's/^server/#server/' /etc/chrony.conf
echo -e "server master iburst\nbindaddress ::\nallow" >> /etc/chrony.conf
[ ${hostname[0]} = \$(hostname) ] && echo "local stratum 10" >> /etc/chrony.conf && sed -i 's/master/127\.0\.0\.1/' /etc/chrony.conf
systemctl enable --now chronyd
timedatectl set-timezone Asia/Shanghai
chronyc -a makestep
exit
EOF
done
[ ! $(rpm -qa chrony) ] && exit

### xsync script

for host in ${hostname[@]}
do
ssh -T $host <<-EOF
[ ! \$(rpm -qa rsync) ] && yum install -y rsync &>/dev/null
[ ! \$(rpm -qa rsync) ] && echo "============ install rsync fail ==============" && exit
exit
EOF
done

[ ! $(rpm -qa rsync) ] && exit

cat > /usr/local/bin/xsync << EOF
#!/bin/bash

pcount=\$#
if [ \$pcount -lt 1 ]
then
   echo "Not Enough Arguement !"
   exit
fi

for host in ${hostname[@]}
do
  if [ "\$host" = \$(hostname) ]
  then
      continue
  fi
  echo ======================== Start \$host File Sync =======================
  for file in \$@
  do
    if [ -e \$file ]
        then
            pdir=\$(cd -P \$(dirname \$file); pwd)
            echo fileDir=\$pdir
            fname=\$(basename \$file)
            echo fileName=\$fname
            ssh \$host "mkdir -p \$pdir"
            rsync -av \$pdir/\$fname \$host:\$pdir &>/dev/null
        else
            echo "\$file does not exists"
        fi
  done
done
EOF

chmod +x /usr/local/bin/xsync

### Install Component(Jdk Hadoop Zookeeper)

echo =================== Start Install Component =====================
tar -xf "$software_dir"jdk* -C $install_dir
tar -xf "$software_dir"hadoop* -C $install_dir
tar -xf "$software_dir"zookeeper* -C $install_dir

rm -rf $install_dir$hadoop_name/share/doc

xsync ${install_dir}{$jdk_name,$hadoop_name,$zookeeper_name}

for host in ${hostname[@]}
do

ssh -T $host <<EOF
echo -e "\
#java
export JAVA_HOME=$install_dir${jdk_name}\n\
export PATH=\\\$PATH:\\\$JAVA_HOME/bin\n\
#hadoop
export HADOOP_HOME=$install_dir${hadoop_name}\n\
export PATH=\\\$PATH:\\\$HADOOP_HOME/bin:\\\$HADOOP_HOME/sbin\n\
#zookeeper
export ZOOKEEPER_HOME=$install_dir${zookeeper_name}\n\
export PATH=\\\$PATH:\\\$ZOOKEEPER_HOME/bin\n\
#hive
export HIVE_HOME=${install_dir}hive\n\
export PATH=\\\$PATH:\\\$HIVE_HOME/bin\
" >> /etc/profile
source /etc/profile
exit
EOF

done

java -version &>/dev/null
[ $? -eq 0 ] && echo "========= java/hadoop/zookeeper/hive installation complete !========"

### jpsall script
cat > /usr/local/bin/jpsall << EOF
#!/bin/bash

for host in ${hostname[@]}
do
  echo -e "\033[32m======================== \$host =======================\033[0m"
  if [ $# -gt 0 ]
  then
    ssh $host "source /etc/profile;$*" 
  else
    ssh $host "source /etc/profile;jps|grep -v Jps"
  fi
  
done
EOF

chmod +x /usr/local/bin/jpsall

### Zookeeper Configuration

echo =================== Start Zookeeper Configuration =====================
zookeeper_path=$install_dir$zookeeper_name

rm -rf $zookeeper_path
tar -xf "$software_dir"zookeeper* -C $install_dir

mkdir -p $zookeeper_path/{data,logs}
mv $install_dir$zookeeper_name/conf/{zoo_sample.cfg,zoo.cfg}

sed -i "/^dataDir=/c\dataDir=$zookeeper_path/data" $zookeeper_path/conf/zoo.cfg
count=1
for host in ${hostname[@]}
do
   zookeeper_host+="server.$count=$host:2888:3888"
   if [ $count -lt $(( ${#hostname[@]} )) ]
   then
      zookeeper_host+="\n"
   fi
   ((count++))
done

echo -e "$zookeeper_host" >> $zookeeper_path/conf/zoo.cfg

sed -i  "s|ZOO_LOG_DIR=\".\"|ZOO_LOG_DIR=\"$zookeeper_path/logs\"|" $zookeeper_path/bin/zkEnv.sh

cat > /usr/lib/systemd/system/zookeeper.service <<EOF
[Unit]
Description=Zookeeper Service
After=network.target syslog.target

[Service]
Type=forking
User=root
Group=root
Environment=JAVA_HOME=$install_dir$jdk_name
PIDFile=$zookeeper_path/data/zookeeper_server.pid
ExecStart=$zookeeper_path/bin/zkServer.sh start
ExecStop=$zookeeper_path/bin/zkServer.sh stop
ExecReload=$zookeeper_path/bin/zkServer.sh restart
Restart=always
TimeoutSec=30
SuccessExitStatus=130 143

[Install]
WantedBy=multi-user.target
EOF

chown -R root:root $zookeeper_path
xsync $zookeeper_path
xsync /usr/lib/systemd/system/zookeeper.service

count=1
for host in ${hostname[@]}
do
ssh -T $host <<EOF
echo $count > $zookeeper_path/data/myid
systemctl daemon-reload
systemctl enable --now zookeeper
exit
EOF
((count++))
done

jpsall "zkServer.sh status"

### Hadoop Configuration
echo =================== Start Hadoop Configuration =====================
hadoop_path=$install_dir$hadoop_name
hadoop_conf_path=$hadoop_path/etc/hadoop

stop-all.sh
jpsall "rm -rf $hadoop_path" &>/dev/null
tar -xf "$software_dir"hadoop* -C $install_dir
rm -rf $hadoop_path/share/doc/

cp $hadoop_conf_path/{mapred-site.xml.template,mapred-site.xml}
sed -i '/configuration>$/d' $hadoop_conf_path/{core-site,hdfs-site,mapred-site,yarn-site}.xml

for ((i=0; i<${#hostname[@]}; i++)) 
do
  zookeeper_address+=${hostname[$i]}:2181
  qjournal_address+=${hostname[$i]}:8485
  cluster_node+=${hostname[$i]}
  [ $i -lt $(( ${#hostname[@]} -1 )) ] &&  zookeeper_address+="," && qjournal_address+=";" && cluster_node+="\n"
done

cat >> $hadoop_conf_path/core-site.xml <<EOF
<configuration>

  <!-- 设置 HDFS 服务名称 -->
  <property>
    <name>fs.defaultFS</name>
    <value>hdfs://hacluster</value>
  </property>
  
  <!-- 配置hadoop的元数据存储目录 -->
  <property>
    <name>hadoop.tmp.dir</name>
    <value>$hadoop_path/data</value> 
  </property>
  
  <!-- 配置zookeeper通信地址 -->
  <property>
    <name>ha.zookeeper.quorum</name>
    <value>$zookeeper_address</value> 
  </property>
  
  <!-- 开启HiveServer2 root用户全部权限 -->
  <property>
    <name>hadoop.proxyuser.root.hosts</name>
    <value>*</value>
  </property>

  <property>
    <name>hadoop.proxyuser.root.groups</name>
    <value>*</value>
  </property>
	
</configuration>
EOF

cat >> $hadoop_conf_path/hdfs-site.xml <<EOF
<configuration>

  <!-- 设置Ha集群名称 -->
  <property>
    <name>dfs.nameservices</name>
    <value>hacluster</value>
  </property>
  
  <!-- 设置数据副本数 -->
  <property>
    <name>dfs.replication</name>
    <value>2</value>
  </property>
  
  <!-- 设置ha集群的节点名称 -->
  <property>
    <name>dfs.ha.namenodes.hacluster</name>
    <value>nn1,nn2</value>
  </property>
  
  <!-- 配置nn1 RPC通信地址 -->
  <property>
    <name>dfs.namenode.rpc-address.hacluster.nn1</name>
    <value>${hostname[0]}:9000</value>
  </property>
  
  <!-- 配置nn2 RPC通信地址 -->
  <property>
    <name>dfs.namenode.rpc-address.hacluster.nn2</name>
    <value>${hostname[1]}:9000</value>
  </property>	
  
  <!-- 配置nn1 Http通信地址 -->
  <property>
    <name>dfs.namenode.http-address.hacluster.nn1</name>
    <value>${hostname[0]}:50070</value>
  </property>
  
  <!-- 配置nn2 Http通信地址 -->
  <property>
    <name>dfs.namenode.http-address.hacluster.nn2</name>
    <value>${hostname[1]}:50070</value>
  </property>
  
  <!-- 配置journal节点位置 -->
  <property>
    <name>dfs.namenode.shared.edits.dir</name>
    <value>qjournal://$qjournal_address/hacluster</value>
  </property>
  
  <!-- 配置journal元数据存储目录-->
  <property>
    <name>dfs.journalnode.edits.dir</name>
    <value>$hadoop_path/data/dfs/journal</value>
  </property>
  
  <!-- 使用ssh方式进行远程切换主备 -->
  <property>
    <name>dfs.ha.fencing.methods</name>
    <value>sshfence</value>
  </property>
  
  <!-- 配置ssh密钥文件位置 -->
  <property>
    <name>dfs.ha.fencing.ssh.private-key-files</name>
    <value>/root/.ssh/id_rsa</value>
  </property>
  
  <!-- 关闭权限检查 -->
  <property>
    <name>dfs.permissions.enable</name>
    <value>false</value>
  </property>
  
  <!-- 设置故障转移类 -->
  <property>
    <name>dfs.client.failover.proxy.provider.hacluster</name>
    <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
  </property>
  
  <!-- 开启自动故障转移 -->
  <property>
    <name>dfs.ha.automatic-failover.enabled</name>
    <value>true</value>
  </property>

</configuration>
EOF

cat >> $hadoop_conf_path/mapred-site.xml <<EOF
<configuration>

  <!-- 指定MR运行在yarn上 默认是在本地运行 -->
  <property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
  </property>

  <!-- 配置历史服务器 JobHistoryServer 进程通信IPC地址 -->
  <property>
    <name>mapreduce.jobhistory.address</name>
	<value>${hostname[2]}:10020</value>
  </property>

  <!-- 配置历史服务器 JobHistoryServer Web UI地址 -->
  <property>
    <name>mapreduce.jobhistory.webapp.address</name>
    <value>${hostname[2]}:19888</value>
  </property>
  
</configuration>
EOF

cat >> $hadoop_conf_path/yarn-site.xml <<EOF
<configuration>

  <property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
  </property>
  
  <!-- 开启yarn 高可用 -->
  <property>
    <name>yarn.resourcemanager.ha.enabled</name>
    <value>true</value>
  </property>
  
  <!-- 设置yarn集群名称 -->
  <property>
    <name>yarn.resourcemanager.cluster-id</name>
    <value>cluster-yarn</value>
  </property>
  
  <!-- 配置yarn集群节点名称 -->
  <property>
    <name>yarn.resourcemanager.ha.rm-ids</name>
    <value>rm1,rm2</value>
  </property>
  
  <!-- 配置resourcemanager安装在指定的节点 -->
  <property>
    <name>yarn.resourcemanager.hostname.rm1</name>
    <value>${hostname[1]}</value>
  </property>
  
  <property>
    <name>yarn.resourcemanager.hostname.rm2</name>
    <value>${hostname[2]}</value>
  </property>
  
  <!-- 配置resourcemanager的zookeeper集群地址 -->
  <property>
    <name>yarn.resourcemanager.zk-address</name>
    <value>$zookeeper_address</value>
  </property>
  
  <!-- 开启resourcemanager自动恢复 -->
  <property>
    <name>yarn.resourcemanager.recovery.enable</name>
    <value>true</value>
  </property>
  
  <!-- 指定resourcemanager的状态信息存储在zookeeper集群 -->
  <property>
    <name>yarn.resourcemanager.store.class</name>
    <value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
  </property>
  
  <!-- 关闭 resourcemanager 虚拟内存检查 --> 
  <property>
    <name>yarn.nodemanager.vmem-check-enabled</name>
    <value>false</value>
  </property>
  
  <!-- 配置 resourcemanager 内存大小 -->
  <property>
    <name>yarn.nodemanager.resource.memory-mb</name>
    <value>3072</value>
  </property>
  
  <!-- 开启日志聚集功能 -->
  <property>
    <name>yarn.log-aggregation-enable</name>
    <value>true</value>
  </property>
  
  <!-- 聚集日志保留时间设置7天 -->
  <property>
    <name>yarn.log-aggregation.retain-seconds</name>
    <value>604800</value>
  </property>

  <!-- 日志聚集位置默认为HDFS文件系统的/tmp/logs路径下 -->
  <property>
    <name>yarn.nodemanager.remote-app-log-dir</name>
    <value>/tmp/jobhistory/log</value>
  </property>
  
</configuration>
EOF

echo -e $cluster_node > $hadoop_conf_path/slaves 
chown -R root:root $hadoop_path
sed -i "/^export JAVA_HOME=/c\export JAVA_HOME=$install_dir$jdk_name"  $hadoop_conf_path/hadoop-env.sh


xsync $hadoop_path

for host in ${hostname[@]}
do

ssh -T $host <<EOF
[ ! \$(rpm -qa psmisc) ] && yum install -y psmisc &>/dev/null
EOF
done

expect <<-EOF
  spawn hdfs zkfc -formatZK
  expect { 
    "(Y or N)" {send "Y\r"; exp_continue}
    expect eof
  }
EOF
echo ============ ZookeeperCluster Formatting Complete =============

for host in ${hostname[@]}
do
ssh -T $host <<EOF
echo ============ Start $host Journalnode =============
hadoop-daemon.sh start journalnode
while true
do
  curl $host:8485 &>/dev/null
  if [ \$? -eq 0 ]
  then
    exit
  fi
  sleep 4
done
EOF
done

hdfs namenode -format
echo ============ HadoopCluster Formatting Complete =============

hadoop-daemon.sh start namenode

echo ============ Start SecondaryNamenode Data Sync =============
ssh -T ${hostname[1]} <<EOF
hdfs namenode -bootstrapStandby
hadoop-daemon.sh start namenode
exit
EOF

### custom_script 
yarn_custom_script(){ 
sed -i -E '/resourcemanager|nodemanager/s/^/#/' $hadoop_path/sbin/$1  
cat >> $hadoop_path/sbin/$1 <<EOF

# $2 resourceManager
AUTOHA_ENABLED=\$(\$HADOOP_PREFIX/bin/hdfs getconf -confKey yarn.resourcemanager.ha.enabled)
if [ "\$(echo "\$AUTOHA_ENABLED" | tr A-Z a-z)" = "true" ]; then
  IDS=\$(\$HADOOP_PREFIX/bin/hdfs getconf -confKey yarn.resourcemanager.ha.rm-ids|tr "," " ")
  IDS=(\$IDS)
  for ((i=0; i<\${#IDS[@]}; i++))
  do
    NODES+=\$(\$HADOOP_PREFIX/bin/hdfs getconf -confKey yarn.resourcemanager.hostname.\${IDS[\$i]})
    if [ \$i -lt \$(( \${#IDS[@]} -1 )) ]
    then
      NODES+=" "
    fi
  done
  echo "$3 Resourcemanager HA on [\$NODES]"
  "\$bin"/yarn-daemons.sh --config \$YARN_CONF_DIR --hostnames "\$NODES" $2 resourcemanager
else
  "\$bin"/yarn-daemon.sh --config \$YARN_CONF_DIR  $2 resourcemanager	
fi

# $2 nodeManager
"\$bin"/yarn-daemons.sh --config \$YARN_CONF_DIR  $2 nodemanager

# $2 historyserver
HISTORYSERVER_ENABLE=\$(\$HADOOP_PREFIX/bin/hdfs getconf -confKey yarn.log-aggregation-enable)
REMOTE=\$(\$HADOOP_PREFIX/bin/hdfs getconf -confKey mapreduce.jobhistory.webapp.address|cut -d ":" -f1)
if [ "\$(echo "\$HISTORYSERVER_ENABLE" | tr A-Z a-z)" = "true" ]; then
 echo "$3 Historyserver on [\$REMOTE]"
 ssh -T \$REMOTE "\$bin"/mr-jobhistory-daemon.sh $2 historyserver 2>&1 | sed "s/^/\$REMOTE: /"
fi
EOF
}
yarn_custom_script start-yarn.sh start Starting
yarn_custom_script stop-yarn.sh stop Stoping
#### ha集群启动使用该start-all.sh脚本有个bug就启动顺序的问题 该脚本的启动顺序是 namenode->datanode->journal nodes ......
#### 这样执行下来就会导致每次需要执行两次start-all.sh 才能让集群启动成功
#### ha集群正确的启动顺序是 journal nodes -> namenode ->datanode ......
#### 解决方案：把start-all.sh里面关于启动journal node的代码放到namenode 代码前面就能保证ha集群每次启动成功了
sed -i '/^# quor/,/^#------/d;49 r /dev/fd/3' $hadoop_path/sbin/start-dfs.sh \
3< <(sed -n '/^# quor/,/^#-----/p' $hadoop_path/sbin/start-dfs.sh)
sed -i '/Deprecated/s/^/#/' $hadoop_path/sbin/start-all.sh
sed -i '/Deprecated/s/^/#/' $hadoop_path/sbin/stop-all.sh
start-all.sh
jpsall
hdfs dfs -chmod -R 777 /tmp
echo ============ HadoopCluster Startup Complete =============

#### hive configuration
echo ============ Start Hive Configuration =============
hive_path=${install_dir}hive
hive_conf_path=$hive_path/conf
tez_path=${install_dir}tez

rm -rf $tez_path
tar xf ${software_dir}*tez* -C $install_dir
mv ${install_dir}*tez* $tez_path
chown -R root:root $tez_path

rm -rf $hive_path
tar xf ${software_dir}*hive* -C $install_dir
mv ${install_dir}*hive* ${install_dir}hive

mysql_user=root
mysql_password=1234
if [ -f "$hive_conf_path/hive-log4j2.properties.template" ]
then 
   mv $hive_conf_path/hive-log4j2.properties.template $hive_conf_path/hive-log4j2.properties
fi

if [ -f "$hive_conf_path/hive-exec-log4j2.properties.template" ] 
then
   mv $hive_conf_path/hive-exec-log4j2.properties.template $hive_conf_path/hive-exec-log4j2.properties
fi
cp ${software_dir}mysql-connector-java-5.1.44-bin.jar $hive_path/lib
sed -i "/property.hive.log.dir/c\property.hive.log.dir=$hive_path/logs" $hive_conf_path/hive-log4j2.properties
sed -i "/property.hive.log.dir/c\property.hive.log.dir=$hive_path/logs" $hive_conf_path/hive-exec-log4j2.properties

cat > $hive_conf_path/hive-site.xml <<EOF
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>

  <!-- 配置hive元数据在hdfs的存储路径 -->
  <property>
    <name>hive.metastore.warehouse.dir</name>
    <value>/hive/database</value>
  </property>

  <!-- 对于小数据量，自动使用本地模式执行 MR job 加快执行过程 ，默认是false -->
  <property>
    <name>hive.exec.mode.local.auto</name>
    <value>true</value>
  </property>
  
  <!-- 取消列名前面的表名 -->
  <property>
    <name>hive.resultset.use.unique.column.names</name>
    <value>false</value>
  </property>
  
  <!-- 更换计算引擎 默认MR -->  
  <property>
    <name>hive.execution.engine</name>
    <value>tez</value>
  </property>

  <!-- 关闭元数据校验 -->
  <property>
    <name>hive.metastore.schema.verification</name>
    <value>false</value>
  </property>

  <property>
    <name>javax.jdo.option.ConnectionURL</name>
    <value>jdbc:mysql://${HOSTNAME}:3306/hive?createDatabaseIfNotExist=true&amp;useUnicode=true&amp;characterEncodeing=UTF-8&amp;useSSL=false</value>
  </property>

  <property>
    <name>javax.jdo.option.ConnectionDriverName</name>
    <value>com.mysql.jdbc.Driver</value>
  </property>

  <property>
    <name>javax.jdo.option.ConnectionUserName</name>
    <value>$mysql_user</value>
  </property>

  <property>
    <name>javax.jdo.option.ConnectionPassword</name>
    <value>$mysql_password</value>
  </property>

</configuration>
EOF
rm -rf ${hive_path}/lib/log4j-slf4j-impl-*.jar
docker exec -it mysql mysql -u $mysql_user -p$mysql_password -e "drop database if exists hive;" &>/dev/null
schematool -dbType mysql -initSchema

hdfs dfs -rm -r /tez
hdfs dfs -mkdir /tez
tez_name=$(ls $tez_path/share)
hdfs dfs -put $tez_path/share/$tez_name /tez
rm -rf ${tez_path}/lib/slf4j-log4j12-*.jar

cat > $hive_conf_path/tez-site.xml <<EOF
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>

  <property>
    <name>tez.lib.uris</name>
    <value>\${fs.defaultFS}/tez/$tez_name</value>
  </property>

  <property>
    <name>tez.use.cluster.hadoop-libs</name>
    <value>true</value>
  </property>

  <property>
    <name>tez.history.logging.service.class</name>
    <value>org.apache.tez.dag.history.logging.ats.ATSHisoryLoggingService</value>
  </property>
  
</configuration>
EOF

mv $hive_conf_path/hive-env.sh.template $hive_conf_path/hive-env.sh

cat >> $hive_conf_path/hive-env.sh <<EOF
export TZEZ_HOME=$tez_path
export HADOOP_CLASSPATH=\$HADOOP_CLASSPATH:\$TEZ_HOME/*.jar:\$TEZ_HOME/lib/*
EOF


for jar in \$(ls \$TEZ_HOME|grep jar)
do
 export TEZ_JARS=$TEZ_JARS:$TEZ_HOME/$jar
done

for jar in \$(ls \$TEZ_HOME\lib)
do
 export TEZ_JARS=$TEZ_JARS:$TEZ_HOME/lib/$jar
done
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