linux安装卸载MySQL以及密码设置+Hive测试

时间 2019-12-06

标签 linux 安装卸载 mysql 以及密码设置 hive 测试栏目 Linux 繁體版

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linux系统卸载MYSQLjava

1,先经过yum方式卸载mysql及相关组件 命令：yum remove mysql*
    2.经过命令：rpm -qa|grep -i mysql   查找系统的有关于mysql的文件
    3.而后经过命令：sudo rpm -e --nodeps 包名删除mysql有关软件
    4.卸载后/etc/my.cnf不会删除，须要进行手工删除经过命令：rm -rf /etc/my.cnf
    须要删除配置文件/etc/my.cnf和数据库文件/var/lib/mysql  删除命令 rm- rf 文件名/文件夹名
    5.最后再次经过命令 rpm -qa|grep -i mysql来确认系统中是否还含有mysql相关的文件，若没有，则表示卸载干净

Linux系统安装MySQLnode

1.下载MySQL的Linux版本注意：下载好的MySQL你须要上传到Linux上才行，同时使用tar -zxvf压缩文件名解压
    2.进入Linux系统后，先切换成root用户，root用户有更高的权限，有权限卸载系统服务,su - root  回车，而后输入密码
    3.查看系统是否已经安装MySQL rpm -qa | grep mysql     或 rpm -qa | grep -i mysql
    4.安装命令   rpm -ivh 服务名
    咱们须要安装MySQL服务端(Server)和客户端(client)
    rpm -ivh MySQL-server-5.6.30-1. linux_glibc2.5. x86_64.rpm
    rpm -ivh MySQL-client-5.6.30-1. linux_glibc2.5. x86_64.rpm
    注意： 必须安装客户端，不然你在Linux上经过命令是不能进入MySQL的，如输入命令mysql会提示错误.
    开启MySQL服务 service mysql start
    5.安装完成后，能够经过命令netstat -nat查看Linux的端口监控，看看Linux有没有在监控3306端口
    
    yum install 安装方式
    
    1.一、查看有没有安装过：yum list installed mysql*
    1.二、查看有没有安装包：yum list mysql*
    1.三、安装mysql客户端：yum install mysql
    1.四、安装mysql 服务器端：yum install mysql-server
    1.五、数据库字符集设置mysql配置文件/etc/my.cnf中加入default-character-set=utf8
    1.六、启动mysql服务：service mysqld start或者/etc/init.d/mysqld start
    1.七、开机启动：sudo chkconfig mysqld on，chkconfig --list | grep mysql*
    mysqld             0:关闭    1:关闭    2:启用    3:启用    4:启用    5:启用    6:关闭
    1.八、中止：service mysqld stop
    1.九、开启登陆建立root管理员：mysqladmin -u root password 123456
    登陆： mysql -u root -p输入密码便可
    2.0、忘记密码：
    service mysqld stop
    mysqld_safe --user=root --skip-grant-tables
    mysql -u root
    use mysql
    update user set password=password("new_pass") where user="root";
    flush privileges;

MySQL修改初始密码mysql

注意：先stop你的myslq服务，service mysql stop或者  /etc/init.d/mysqld stop
    
    1.若没有root权限，这种状况下，咱们能够采用相似安全模式的方法修改初始密码,先执行命令  mysqld_safe --skip-grant-tables &   （设置成安全模式）&，表示在后台运行，再也不后台运行的话，就再打开一个终端咯
    
    <1># mysql
    mysql> use mysql;
    mysql> UPDATE user SET password=password("123456") WHERE user='root';    （会提示修改为功query ok）
    mysql> flush privileges;
    mysql> exit;
    
    <2>在mysql系统外，使用mysqladmin
    # mysqladmin -u root -p password "test123"
    Enter password: 【输入原来的密码】
    
    <3>. 能够登陆mysql系统的状况下，经过登陆mysql系统修改
    # mysql -uroot -p
    Enter password: 【输入原来的密码】
    mysql>use mysql;
    mysql> update user set password=password("123456") where user='root';
    mysql> flush privileges;
    mysql> exit; 
    
    2.将MySQL加入到系统启动项中 chkconfig mysql on 查看MySQL是否加入到系统启动项中  chkconfig --list | grep mysql
    3.登陆你的MySQL系统  mysql -uroot -p回车，而后输入你的密码
    4.添加系统mysql组和mysql用户：执行命令：groupadd mysql和useradd -r -g mysql mysql
    5.修改当前data目录拥有者为mysql用户：执行命令 chown -R mysql:mysql data
    6.把mysql客户端放到默认路径：ln -s /usr/local/mysql/bin/mysql /usr/local/bin/mysql
    注意：建议使用软链过去，不要直接包文件复制，便于系统安装多个版本的mysql

MYSQL服务的状态、启动、中止、重启命令linux

service mysql start      或    /etc/init.d/mysql start
    service mysql stop      或    /etc/init.d/mysql stop
    service mysql restart   或    /etc/init.d/mysql restart
    service mysql status    或    /etc/init.d/mysql status

hive的安装及配置sql

1.启动设置mysql
    启动mysql服务
    sudo service mysql start

    2.设置为开机自启动
    sudo chkconfig mysql on

    3.设置root用户登陆密码
    sudo /usr/bin/mysqladmin -u root password 'root123'

    4.登陆mysql  以root用户身份登陆
    mysql -uroot -proot123
    
    5.建立hive用户,数据库等
    insert into mysql.user(Host,User,Password) values("localhost","hive",password("hive"));
    create database hive;
    grant all on hive.* to hive@'%'  identified by 'hive';
    grant all on hive.* to hive@'localhost'  identified by 'hive';
    flush privileges; 

    6.退出mysql 
    exit
    
    7.验证hive用户
    mysql -uhive -phive
    show databases;
    +--------------------+
    | Database           |
    +--------------------+
    | information_schema |
    | hive               |
    | test               |
    +--------------------+
    3 rows in set (0.00 sec)
    退出mysql
    exit

安装hiveshell

1，解压安装包
    cd  ~
    tar -zxvf apache-hive-1.1.0-bin.tar.gz
    2，创建软链接
    ln -s apache-hive-1.1.0-bin hive
    3，添加环境变量
    vi  .bash_profile
    导入下面的环境变量
    export HIVE_HOME=/home/hdpsrc/hive
    export PATH=$PATH:$HIVE_HOME/bin

    使其有效
    source .bash_profile

配置hive
4.修改hive-site.xml
cp hive/conf/hive-default.xml.template hive/conf/hive-site.xml
编辑hive-site.xml数据库

主要修改如下参数
    <property> 
       <name>javax.jdo.option.ConnectionURL </name> 
       <value>jdbc:mysql://Master:3306/hive </value> 
    </property> 
     
    <property> 
       <name>javax.jdo.option.ConnectionDriverName </name> 
       <value>com.mysql.jdbc.Driver </value> 
    </property>

    <property> 
       <name>javax.jdo.option.ConnectionPassword </name> 
       <value>hive </value> 
    </property> 
     
    <property> 
       <name>hive.hwi.listen.port </name> 
       <value>9999 </value> 
       <description>This is the port the Hive Web Interface will listen on </descript ion> 
    </property> 

    <property> 
       <name>datanucleus.autoCreateSchema </name> 
       <value>true</value> 
    </property> 
     
    <property> 
       <name>datanucleus.fixedDatastore </name> 
       <value>false</value> 
    </property> 
    </property> 

      <property>
        <name>javax.jdo.option.ConnectionUserName</name>
        <value>hive</value>
        <description>Username to use against metastore database</description>
      </property>

      <property>
        <name>hive.exec.local.scratchdir</name>
        <value>/home/hdpsrc/hive/iotmp</value>
        <description>Local scratch space for Hive jobs</description>
      </property>
      <property>
        <name>hive.downloaded.resources.dir</name>
        <value>/home/hdpsrc/hive/iotmp</value>
        <description>Temporary local directory for added resources in the remote file system.</description>
      </property>
      <property>
        <name>hive.querylog.location</name>
        <value>/home/hdpsrc/hive/iotmp</value>
        <description>Location of Hive run time structured log file</description>
      </property>
      
    5,拷贝mysql-connector-java-5.1.6-bin.jar 到hive 的lib下面
    mv /home/hdpsrc/Desktop/mysql-connector-java-5.1.6-bin.jar /home/hdpsrc/hive/lib/
    cp  mysql-connector-java-5.1.1.18-bin  /usr/hive/lib 

    6，把jline-2.12.jar拷贝到hadoop相应的目录下，替代jline-0.9.94.jar，不然启动会报错
    cp /home/hdpsrc/hive/lib/jline-2.12.jar /home/hdpsrc/hadoop-2.6.0/share/hadoop/yarn/lib/
    mv /home/hdpsrc/hadoop-2.6.0/share/hadoop/yarn/lib/jline-0.9.94.jar 
    /home/hdpsrc/hadoop-2.6.0/share/hadoop/yarn/lib/jline-0.9.94.jar.bak /
    7，穿件hive临时文件夹
    mkdir /home/hdpsrc/hive/iotmp
    
    四，启动测试hive
    
    初始化hive元数据仓库 
            该执行目录$HIVE_HOME/bin 
            bin]#./schematool -initSchema -dbType mysql -userName hive -passWord hive
            
    启动hadoop后，执行hive命令
    
    #hive

    测试输入 show database;
    hive> show databases;
    OK
    default
    Time taken: 0.907 seconds, Fetched: 1 row(s)

hive 产生的log 的路径apache

<property>
          <name>hive.querylog.location</name>
          <value>${system:java.io.tmpdir}/${system:user.name}</value>
          <description>Location of Hive run time structured log file</description>
       </property>
       修改hive-log4j.properties配置文件

      cp hive-log4j.properties.template  hive-log4j.proprties

       # list of properties
      property.hive.log.level = INFO
      property.hive.root.logger = DRFA
      property.hive.log.dir = ${sys:java.io.tmpdir}/${sys:user.name}
      property.hive.log.file = hive.log
      property.hive.perflogger.log.level = INFO
      

    1) 在mysql里建立hive用户，并赋予其足够权限
    [root@node01 mysql]# mysql -u root -p
    Enter password:

    mysql> create user 'hive' identified by 'hive';
    Query OK, 0 rows affected (0.00 sec)

    mysql> grant all privileges on *.* to 'hive' with grant option;
    Query OK, 0 rows affected (0.00 sec)

    mysql> flush privileges;
    Query OK, 0 rows affected (0.01 sec)

    2）测试hive用户是否能正常链接mysql，并建立hive数据库
    [root@node01 mysql]# mysql -u hive -p
    Enter password:

    mysql> create database hive;
    Query OK, 1 row affected (0.00 sec)

    mysql> use hive;
    Database changed
    mysql> show tables;
    Empty set (0.00 sec)

    3）解压缩hive安装包
    tar -xzvf hive-0.9.0.tar.gz
    [hadoop@node01 ~]$ cd hive-0.9.0
    [hadoop@node01 hive-0.9.0]$ ls
    bin  conf  docs  examples  lib  LICENSE  NOTICE  README.txt  RELEASE_NOTES.txt  scripts  src

    4）下载mysql链接java的驱动 并拷入hive home的lib下
    [hadoop@node01 ~]$ mv mysql-connector-java-5.1.24-bin.jar ./hive-0.9.0/lib

    5）修改环境变量，把Hive加到PATH
    /etc/profile
    export HIVE_HOME=/home/hadoop/hive-0.9.0
    export PATH=$PATH:$HIVE_HOME/bin

    6）修改hive-env.sh
    [hadoop@node01 conf]$ cp hive-env.sh.template hive-env.sh
    [hadoop@node01 conf]$ vi hive-env.sh

    7）拷贝hive-default.xml 并命名为 hive-site.xml
    修改四个关键配置 为上面mysql的配置
    [hadoop@node01 conf]$ cp hive-default.xml.template hive-site.xml
    [hadoop@node01 conf]$ vi hive-site.xml
    <property>
      <name>javax.jdo.option.ConnectionURL</name>
      <value>jdbc:mysql://localhost:3306/hive?createDatabaseIfNotExist=true</value>
      <description>JDBC connect string for a JDBC metastore</description>
    </property>

    <property>
      <name>javax.jdo.option.ConnectionDriverName</name>
      <value>com.mysql.jdbc.Driver</value>
      <description>Driver class name for a JDBC metastore</description>
    </property>

    <property>
      <name>javax.jdo.option.ConnectionUserName</name>
      <value>hive</value>
      <description>username to use against metastore database</description>
    </property>

    <property>
      <name>javax.jdo.option.ConnectionPassword</name>
      <value>hive</value>
      <description>password to use against metastore database</description>
    </property>

    8）启动Hadoop，打开hive shell 测试
    [hadoop@node01 conf]$ start-all.sh

    hive> load data inpath 'hdfs://node01:9000/user/hadoop/access_log.txt'
        > overwrite into table records;
    Loading data to table default.records
    Moved to trash: hdfs://node01:9000/user/hive/warehouse/records
    OK
    Time taken: 0.526 seconds
    hive> select ip, count(*) from records
        > group by ip;
    Total MapReduce jobs = 1
    Launching Job 1 out of 1
    Number of reduce tasks not specified. Estimated from input data size: 1
    In order to change the average load for a reducer (in bytes):
      set hive.exec.reducers.bytes.per.reducer=<number>
    In order to limit the maximum number of reducers:
      set hive.exec.reducers.max=<number>
    In order to set a constant number of reducers:
      set mapred.reduce.tasks=<number>
    Starting Job = job_201304242001_0001, Tracking URL = http://node01:50030/jobdetails.jsp?jobid=job_201304242001_0001
    Kill Command = /home/hadoop/hadoop-0.20.2/bin/../bin/hadoop job  -Dmapred.job.tracker=192.168.231.131:9001 -kill job_201304242001_0001
    Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
    2013-04-24 20:11:03,127 Stage-1 map = 0%,  reduce = 0%
    2013-04-24 20:11:11,196 Stage-1 map = 100%,  reduce = 0%
    2013-04-24 20:11:23,331 Stage-1 map = 100%,  reduce = 100%
    Ended Job = job_201304242001_0001
    MapReduce Jobs Launched:
    Job 0: Map: 1  Reduce: 1   HDFS Read: 7118627 HDFS Write: 9 SUCCESS
    Total MapReduce CPU Time Spent: 0 msec
    OK
    NULL    28134
    Time taken: 33.273 seconds

    records在HDFS中就是一个文件：
    [hadoop@node01 home]$ hadoop fs -ls /user/hive/warehouse/records
    Found 1 items
    -rw-r--r--   2 hadoop supergroup    7118627 2013-04-15 20:06 /user/hive/warehouse/records/access_log.txt