linux安装卸载MySQL以及密码设置+Hive测试
linux系统卸载MYSQL
1,先通过yum方式卸载mysql及相关组件 命令：yum remove mysql*
2.通过命令：rpm -qa|grep -i mysql 查找系统的有关于mysql的文件
3.然后通过命令：sudo rpm -e --nodeps 包名删除mysql有关软件
4.卸载后/etc/my.cnf不会删除，需要进行手工删除通过命令：rm -rf /etc/my.cnf
需要删除配置文件/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.最后再次通过命令 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MySQL
1.下载MySQL的Linux版本注意：下载好的MySQL你需要上传到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，然后输入密码
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
我们需要安装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，否则你在Linux上通过命令是不能进入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，可以通过命令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
1.1、查看有没有安装过：yum list installed mysql*
1.2、查看有没有安装包：yum list mysql*
1.3、安装mysql客户端：yum install mysql
1.4、安装mysql 服务器端：yum install mysql-server
1.5、数据库字符集设置mysql配置文件/etc/my.cnf中加入default-character-set=utf8
1.6、启动mysql服务：service mysqld start或者/etc/init.d/mysqld start
1.7、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
1.8、停止：service mysqld stop
1.9、开启登录创建root管理员：mysqladmin -u root password 123456
登录： mysql -u root -p输入密码即可
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
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，这种情况下，我们可以采用类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，不再后台运行的话，就再打开一个终端咯
<1># mysql
mysql> use mysql;
mysql> UPDATE user SET password=password("123456") WHERE user='root'; （会提示修改成功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>. 可以登录mysql系统的情况下，通过登录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.登录你的MySQL系统 mysql -uroot -p回车，然后输入你的密码
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、停止、重启命令
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
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用户登录密码
sudo /usr/bin/mysqladmin -u root password 'root123'
4.登录mysql 以root用户身份登录
mysql -uroot -proot123
5.创建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hive
1，解压安装包
cd ~
tar -zxvf apache-hive-1.1.0-bin.tar.gz
2，建立软连接
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
主要修改以下参数
<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，否则启动会报错
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$HIVE_HOME/bin
bin]#./schematool -initSchema -dbType mysql -userName hive -passWord hive
启动hadoop后，执行hive命令
#hive
测试输入 show database;
hive> show databases;
OK
default
Time taken: 0.907 seconds, Fetched: 1 row(s)
hive 产生的log 的路径
<property>
<name>hive.querylog.location</name>
<value>${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里创建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用户是否能正常连接mysql，并创建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连接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
