- 在MySQL中，创建一个用户，用户名为sqoop03，密码为：123456
启动MySQL：support-files/mysql.server start
进入MySQL：mysql -u root -p
创建用户sqoop03：grant all on *.* to sqoop03@'%' identified by '123456';
（1）登陆MySQL的sqoop03用户，创建一张数据库，数据库的名称为db03。登录到mysql的sqoop03用户
mysql -u sqoop03 -p
（2）创建数据库sqoop03
create database db03;
2.通过sqoop查看mysql的sqoop03 用户下有哪些数据库
命令：sqoop list-databases -connect jdbc:mysql://127.0.0.1:3306 -username sqoop03 -password 123456
3.在数据库db03中创建10张表，表名和字段可以自定义，每张表的数据不少于5行
(1)创建第一张表
mysql> use db03
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed
mysql> create table tb01(name char(100),id char(100));
Query OK, 0 rows affected (0.75 sec)
mysql> insert into tb01 values('zhh','100');
Query OK, 1 row affected (0.16 sec)
mysql> insert into tb01 values('za','101');
Query OK, 1 row affected (0.09 sec)
mysql> insert into tb01 values('zrr','102');
Query OK, 1 row affected (0.02 sec)
mysql> insert into tb01 values('gg','103');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb01 values('qq','104');
Query OK, 1 row affected (0.04 sec)
(2)创建第二张表
mysql> create table tb02(name char(100),sex char(30),age int);
Query OK, 0 rows affected (0.26 sec)
mysql> insert into tb02 values('qq','man','104');
Query OK, 1 row affected (0.12 sec)
mysql> insert into tb02 values('zz','man','13');
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb02 values('cf','woman','23');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb02 values('gg','woman','20');
Query OK, 1 row affected (0.02 sec)
mysql> insert into tb02 values('gf','woman','26');
Query OK, 1 row affected (0.00 sec)
(3)创建第三张表
mysql> create table tb03(name char(100),heiht float);
Query OK, 0 rows affected (0.26 sec)
mysql> insert into tb03 values('gf',115);
Query OK, 1 row affected (0.26 sec)
mysql> insert into tb03 values('zz',165);
Query OK, 1 row affected (0.06 sec)
mysql> insert into tb03 values('jz',155);
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb03 values('kk',150);
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb03 values('ll',167);
Query OK, 1 row affected (0.01 sec)
(4)创建第四张表
mysql> create table tb04 (name char(100), tel char(30));
Query OK, 0 rows affected (0.11 sec)
mysql> insert into tb04 values('hh','110');
Query OK, 1 row affected (0.04 sec)
mysql> insert into tb04 values('zz','111');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb04 values('gg','112');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb04 values('jj','113');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb04 values('nm','114');
Query OK, 1 row affected (0.01 sec)
(5)创建第五张表
mysql> create table tb05 (name char(100),adress char(100));
Query OK, 0 rows affected (0.08 sec)
mysql> insert into tb05 values('hh','ChongQing');
Query OK, 1 row affected (0.04 sec)
mysql> insert into tb05 values(kk','guangdong');
mysql> insert into tb05 values('kk','guangdong');
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb05 values('Jack','YunNan');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb05 values('Jf','YunNan');
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb05 values('fg','HeNan');
Query OK, 1 row affected (0.00 sec)
(6)创建第六张表
mysql> create table tb06 (name char(100),love char(50));
Query OK, 0 rows affected (0.14 sec)
mysql> insert into tb06 values('Marry','Sing');
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb06 values('Mm','hhh');
Query OK, 1 row affected (0.06 sec)
mysql> insert into tb06 values('kk','hj');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb06 values('ss','hj');
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb06 values('rts','dg');
Query OK, 1 row affected (0.01 sec)
(7)创建第七张表
mysql> create table tb07 (name char(100),academic char(50));
Query OK, 0 rows affected (0.14 sec)
mysql> insert into tb07 values('Marry','Senior');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb07 values('Mm','Senior');
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb07 values('oo','Ungergraduate');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb07 values('hh','Ungergraduate');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb07 values('iu','Ungergraduate');
Query OK, 1 row affected (0.00 sec)
(8)创建第八张表
mysql> create table table08 (name char(100),work char(50));
ERROR 1050 (42S01): Table 'table08' already exists
mysql> create table tb08 (name char(100),work char(50));
Query OK, 0 rows affected (0.14 sec)
mysql> insert into tb08 values('hh','Driver');
Query OK, 1 row affected (0.03 sec)
mysql> insert into tb08 values('ll','singer');
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb08 values('tt','teacher');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb08 values('qq','teacher');
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb08 values('yq','teacher');
Query OK, 1 row affected (0.00 sec)
(9)创建第九张表
mysql> create table tb09 (name char(100),salary int);
Query OK, 0 rows affected (0.23 sec)
mysql> insert into tb09 values('Ma',6000);
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb09 values('hh',4000);
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb09 values('gh',3000);
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb09 values('yy',9000);
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb09 values('oy',2000);
Query OK, 1 row affected (0.00 sec)
(10)创建第十张表
mysql> create table tb10 (name char(100),status char(30));
Query OK, 0 rows affected (0.11 sec)
mysql> insert into tb10 values('Ma','Single');
Query OK, 1 row affected (0.09 sec)
mysql> insert into tb10 values('hh','Single');
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb10 values('ih','Married');
Query OK, 1 row affected (0.01 sec)
mysql> insert into tb10 values('pp','Married');
Query OK, 1 row affected (0.00 sec)
mysql> insert into tb10 values('lh','Married');
Query OK, 1 row affected (0.01 sec)
建立的10张表如下：
3、使用ETL工具Sqoop，将MySQL数据库db03中的10张表的表结构和数据导入（同步）到大数据平台的Hive中
(1)启动sqoop：
[root@HadoopMaster bin]# ./sqoop list-databases -connect jdbc:mysql://HadoopMaster:3306/ -username sqoop03 -password 123456
命令：
sqoop import -connect jdbc:mysql://HadoopMaster:3306/db03 -username sqoop03 -password 123456 -table tb01 -hive-import -hive-table bigdata03.tb01 -m 1
显示成功：
（10个表依次输入命令即可。）
4、结果如下：
hive> show tables;
在9870端口查看如下：
