1. 环境
2. 查询mysql版本
rpm -qa | grep -i -E mysql\|mariadb
卸载
rpm -qa | grep -i -E mysql\|mariadb | xargs -n1 sudo rpm -e --nodeps
安装
sudo rpm -ivh 01_mysql-community-common-5.7.29-1.el7.x86_64.rpm
sudo rpm -ivh 02_mysql-community-libs-5.7.29-1.el7.x86_64.rpm
sudo rpm -ivh 03_mysql-community-libs-compat-5.7.29-1.el7.x86_64.rpm
sudo rpm -ivh 04_mysql-community-client-5.7.29-1.el7.x86_64.rpm
sudo rpm -ivh 05_mysql-community-server-5.7.29-1.el7.x86_64.rpm
sudo systemctl start mysqld
6.5安装
wget https://cdn.mysql.com//archives/mysql-5.7/mysql-5.7.14-1.el6.x86_64.rpm-bundle.tar
rpm -ivh mysql-community-common-5.7.14-1.el6.x86_64.rpm
rpm -ivh mysql-community-libs-5.7.14-1.el6.x86_64.rpm
rpm -ivh mysql-community-client-5.7.14-1.el6.x86_64.rpm
rpm -ivh mysql-community-server-5.7.14-1.el6.x86_64.rpm
service mysqld start
chkconfig mysqld on #设置开机自启动
如果不行则 在后面加上 —nodeps —force 安装时不再分析包之间的依赖关系而直接安装
查询mysql密码
sudo cat /var/log/mysqld.log | grep password
修改mysql密码
mysql -uroot -p’password’
设置复杂密码(由于mysql密码策略,此密码必须足够复杂)
set global validate_password_length=4;
set global validate_password_policy=0;
设置密码
set password=password("A373213257s");
use mysql
select user, host from user;
update user set host="%" where user="root";
flush privileges;
quit;
3. 安装hive
tar -zxvf /opt/software/apache-hive-3.1.2-bin.tar.gz -C /opt/module/
mv /opt/module/apache-hive-3.1.2-bin/ /opt/module/hive
#环境变量
sudo vim /etc/profile.d/my_env.sh
#HIVE_HOME
export HIVE_HOME=/opt/module/hive
export PATH=$PATH:$HIVE_HOME/bin
source /etc/profile
mv $HIVE_HOME/lib/log4j-slf4j-impl-2.10.0.jar $HIVE_HOME/lib/log4j-slf4j-impl-2.10.0.bak
4. Hive的元数据配置到mysql
cp /opt/software/mysql-connector-java-5.1.48.jar $HIVE_HOME/lib
vim $HIVE_HOME/conf/hive-site.xml
配置hive-site.xml
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<!-- mysql 连接地址-->
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://hadoop102:3306/metastore?useSSL=false</value>
</property>
<property>
<!--驱动 -->
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
</property>
<property>
<!--用户 -->
<name>javax.jdo.option.ConnectionUserName</name>
<value>root</value>
</property>
<property>
<!--密码 -->
<name>javax.jdo.option.ConnectionPassword</name>
<value>A373213257s</value>
</property>
<property>
<!--hive元数据仓库位置 -->
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive/warehouse</value>
</property>
<property>
<name>hive.metastore.schema.verification</name>
<value>false</value>
</property>
<property>
<name>hive.metastore.uris</name>
<value>thrift://hadoop102:9083</value>
</property>
<property>
<name>hive.server2.thrift.port</name>
<value>10000</value>
</property>
<property>
<name>hive.server2.thrift.bind.host</name>
<value>hadoop102</value>
</property>
<property>
<name>hive.metastore.event.db.notification.api.auth</name>
<value>false</value>
</property>
</configuration>
5. Tez引擎
Tez可以将多个有依赖的作业转换为一个作业,这样只需写一次HDFS,且中间节点较少,从而大大提升作业的计算性能
#解压
mkdir /opt/module/tez
tar -zxvf /opt/software/tez-0.10.1-SNAPSHOT.tar.gz -C /opt/module/tez
#上传Tez到hdfs
hadoop fs -mkdir /tez
hadoop fs -put /opt/software/tez-0.10.1-SNAPSHOT.tar.gz /tez
#新建tez-size.xml
vim $HADOOP_HOME/etc/hadoop/tez-site.xml
配置tez-size.xml
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>tez.lib.uris</name>
<value>${fs.defaultFS}/tez/tez-0.10.1-SNAPSHOT.tar.gz</value>
</property>
<property>
<name>tez.use.cluster.hadoop-libs</name>
<value>true</value>
</property>
<property>
<name>tez.am.resource.memory.mb</name>
<value>1024</value>
</property>
<property>
<name>tez.am.resource.cpu.vcores</name>
<value>1</value>
</property>
<!--task\AM占用JVM Xmx的比例,该参数建议调整,需根据具体业务情况修改 默认0.8 -->
<property>
<name>tez.container.max.java.heap.fraction</name>
<value>0.8</value>
</property>
<property>
<name>tez.task.resource.memory.mb</name>
<value>1024</value>
</property>
<property>
<name>tez.task.resource.cpu.vcores</name>
<value>1</value>
</property>
</configuration>
修改Hadoop环境变量
vim $HADOOP_HOME/etc/hadoop/shellprofile.d/tez.sh
hadoop_add_profile tez
function _tez_hadoop_classpath
{
hadoop_add_classpath "$HADOOP_HOME/etc/hadoop" after
hadoop_add_classpath "/opt/module/tez/*" after
hadoop_add_classpath "/opt/module/tez/lib/*" after
}
修改Hive的计算模型
vim $HIVE_HOME/conf/hive-site.xml
追加
<property>
<name>hive.execution.engine</name>
<value>tez</value>
</property>
<property>
<name>hive.tez.container.size</name>
<value>1024</value>
</property>
解决日志jar包冲突
rm /opt/module/tez/lib/slf4j-log4j12-1.7.10.jar
6. 启动
mysql -uroot -pA373213257s
#建库
create database metastore;
quit;
#初始化hive
schematool -initSchema -dbType mysql -verbose
#编写启动脚本
vim $HIVE_HOME/bin/hiveservices.sh
#!/bin/bash
HIVE_LOG_DIR=$HIVE_HOME/logs
mkdir -p $HIVE_LOG_DIR
#检查进程是否运行正常,参数1为进程名,参数2为进程端口
function check_process()
{
pid=$(ps -ef 2>/dev/null | grep -v grep | grep -i $1 | awk '{print $2}')
ppid=$(netstat -nltp 2>/dev/null | grep $2 | awk '{print $7}' | cut -d '/' -f 1)
echo $pid
[[ "$pid" =~ "$ppid" ]] && [ "$ppid" ] && return 0 || return 1
}
function hive_start()
{
metapid=$(check_process HiveMetastore 9083)
cmd="nohup hive --service metastore >$HIVE_LOG_DIR/metastore.log 2>&1 &"
cmd=$cmd" sleep4; hdfs dfsadmin -safemode wait >/dev/null 2>&1"
[ -z "$metapid" ] && eval $cmd || echo "Metastroe服务已启动"
server2pid=$(check_process HiveServer2 10000)
cmd="nohup hive --service hiveserver2 >$HIVE_LOG_DIR/hiveServer2.log 2>&1 &"
[ -z "$server2pid" ] && eval $cmd || echo "HiveServer2服务已启动"
}
function hive_stop()
{
metapid=$(check_process HiveMetastore 9083)
[ "$metapid" ] && kill $metapid || echo "Metastore服务未启动"
server2pid=$(check_process HiveServer2 10000)
[ "$server2pid" ] && kill $server2pid || echo "HiveServer2服务未启动"
}
case $1 in
"start")
hive_start
;;
"stop")
hive_stop
;;
"restart")
hive_stop
sleep 2
hive_start
;;
"status")
check_process HiveMetastore 9083 >/dev/null && echo "Metastore服务运行正常" || echo "Metastore服务运行异常"
check_process HiveServer2 10000 >/dev/null && echo "HiveServer2服务运行正常" || echo "HiveServer2服务运行异常"
;;
*)
echo Invalid Args!
echo 'Usage: '$(basename $0)' start|stop|restart|status'
;;
esac
修改日志配置
vim /opt/module/hive/conf/hive-log4j2.properties.template
#修改以下属性的值
property.hive.log.dir = /opt/module/hive/logs
启动脚本
chmod +x $HIVE_HOME/bin/hiveservices.sh
hiveservices.sh start
jps
#如果看到2个RunJar则成功
以官方命令行客户端 beeline 启动HiveJDBC
在哪台机器启动服务就以哪台服务器ip为准
beeline -u jdbc:hive2://hadoop102:10000 -n atguigu
Hive 2.x以上版本,要先启动这两个服务,否则会报错
如果不以脚本方式启动必须先启动 hive服务端元数据服务 否则无法打开hive客户端
hive --service metastore &
hive
7. 更换Tez引擎后,执行任务卡住
vim /opt/module/hadoop-3.1.3/etc/hadoop/capacity-scheduler.xml
<property>
<name>yarn.scheduler.capacity.maximum-am-resource-percent</name>
<!-- 更改为1 -->
<value>1</value>
<description>
Maximum percent of resources in the cluster which can be used to run
application masters i.e. controls number of concurrent running
applications.
</description>
</property>
sudo xsync /opt/module/hadoop-3.1.3/etc/hadoop/capacity-scheduler.xml #同步
8. 遍历删除yarn中所有app
for i in `yarn application -list | grep -w ACCEPTED | awk '{print $1}' | grep application_`; do yarn application -kill $i; done
hadoop job -list #任务列表
yarn application -list # yarn的app
yarn node -list all # 查看所有节点
hdfs dfsadmin -safemode get # 查看是否是安全模式
hadoop dfsadmin -report #查看每个节点的具体
9. Tez UI
以下操作均在103节点中操作
tez-site.xml
追加
<property>
<description>Enable Tez to use the Timeline Server for History Logging</description>
<name>tez.history.logging.service.class</name>
<value>org.apache.tez.dag.history.logging.ats.ATSHistoryLoggingService</value>
</property>
<property>
<description>URL for where the Tez UI is hosted</description>
<name>tez.tez-ui.history-url.base</name>
<value>http://hadoop103/tez-ui/</value>
</property>
yarn-site.xml
追加
<property>
<description>Indicate to clients whether Timeline service is enabled or not.
If enabled, the TimelineClient library used by end-users will post entities
and events to the Timeline server.</description>
<name>yarn.timeline-service.enabled</name>
<value>true</value>
</property>
<property>
<description>The hostname of the Timeline service web application.</description>
<name>yarn.timeline-service.hostname</name>
<value>hadoop103</value>
</property>
<property>
<description>Enables cross-origin support (CORS) for web services where
cross-origin web response headers are needed. For example, javascript making
a web services request to the timeline server.</description>
<name>yarn.timeline-service.http-cross-origin.enabled</name>
<value>true</value>
</property>
<property>
<description>Publish YARN information to Timeline Server</description>
<name> yarn.resourcemanager.system-metrics-publisher.enabled</name>
<value>true</value>
</property>
启用tomcat服务器
sudo yum install -y tomcat
sudo groupmems -g tomcat -a atguigu # 将atguigu添加到,重新连接shell
#rpm -qa | grep java- | xargs -n sudo rpm -e --nodeps # 删除tomcat自带的java
下载tez版本对应的war包并解压
https://repository.apache.org/content/repositories/releases/org/apache/tez/tez-ui/
sudo yum -y install unzip
cd /var/lib/tomcat/wabapps #上传到此目录
mkdir tez-ui
uzip tez-ui-0.10.1.war -d tez-ui #解压 到tocat中
rm tez-ui-0.10.1.war
cd tez-ui/config
vim configs.env
#将里面的web地址 全部改成hadoop103
sudo systemctl start tomcat #启动服务
重启yarn,并启动timeline server
stop-yarn.sh
start-yarn.sh
yarn --daemon start timelineserver #启动timeline server服务