【MySQL】MySQL之导入和导出

本篇来演示MySQL的导入和导出。

MySQL之导出

可以使用以下两种方法进行MySQL的导出,分别为:
  • SELECT ... INTO OUTFILE ...
  • Mysqldump工具

1、SELECT ... INTO OUTFILE ...
1)语法如下:
SELECT * FROM tablename INTO OUTFILE 'target_file' [option];
其中option参数可以是以下选项:
  • FIELDS TERMINATED BY 'string'(字段分隔符,默认为制表符‘ ’);
  • FIELDS [OPTIONALLY] ENCLOSED BY 'char' (字段引用符,如果加OPTIONALLY选项则只用在char、varchar和text等字符型字段上,默认不使用引用符);
  • FIELDS ESCAPED BY ‘char’ (转义字符,默认为‘’);
  • LINES STARTING BY ‘string’ (每行前都加此字符串,默认‘’);
  • LINES TERMINATED BY ‘string’ (行结束符,默认为‘ ’);
2)使用默认选项导出数据库test下的t_mm表;
mysql> select *from t_mm into outfile '/usr/local/mysql/mysql-files/emp.txt';
Query OK, 6 rows affected (0.04 sec)

mysql> system more /usr/local/mysql/mysql-files/emp.txt;
1	Alen	2018-03-09 15:33:03
3	UK	2018-03-09 15:35:55
4	Japan	2018-03-09 12:36:16
6	USA	2018-03-09 13:19:35
8	Begin MMM....	2018-03-09 14:54:40
10	Hello	2018-03-12 15:33:22
mysql> 
注:如果有同名的文件,则导出失败;
3)使用带选项的语句导出数据库test下的t_mm表;
mysql> select *from t_mm into outfile '/usr/local/mysql/mysql-files/emp.txt' fields terminated by ','  enclosed by '"';
Query OK, 6 rows affected (0.00 sec)

mysql> system more /usr/local/mysql/mysql-files/emp.txt;
"1","Alen","2018-03-09 15:33:03"
"3","UK","2018-03-09 15:35:55"
"4","Japan","2018-03-09 12:36:16"
"6","USA","2018-03-09 13:19:35"
"8","Begin MMM....","2018-03-09 14:54:40"
"10","Hello","2018-03-12 15:33:22"
mysql> 
4)如上,第一列是数字类型,不希望用引号引起,语句可改为:
mysql> select *from t_mm into outfile '/usr/local/mysql/mysql-files/emp.txt' fields terminated by ','  optionally enclosed by '"';
Query OK, 6 rows affected (0.00 sec)

mysql> system more /usr/local/mysql/mysql-files/emp.txt;
1,"Alen","2018-03-09 15:33:03"
3,"UK","2018-03-09 15:35:55"
4,"Japan","2018-03-09 12:36:16"
6,"USA","2018-03-09 13:19:35"
8,"Begin MMM....","2018-03-09 14:54:40"
10,"Hello","2018-03-12 15:33:22"
mysql> 

2、Mysqldump工具
1)语法如下:
mysqldump -uusername -p -T target_dir dbname tablename [option]
其中option参数可以是以下选项:
  • --fields-terminated-by=name(字段分隔符);
  • --fields-enclosed-by=name(字段引用符);
  • --fields-optionally-enclosed-by=name(字段引用符,只用在char、varchar和text等字符型字段上);
  • --fields-escaped-by=name(转义字符);
  • --lines-terminated-by=name(记录结束符);
2)使用默认选项导出数据库test下的所有表;
mysql> system mysqldump -uroot -p -T /usr/local/mysql/mysql-files/ test;
Enter password: 
mysql> system ls -l /usr/local/mysql/mysql-files/
total 16
-rw-r--r--. 1 root  root  1437 Mar 13 22:11 t_emp.sql
-rw-rw-rw-. 1 mysql mysql  111 Mar 13 22:11 t_emp.txt
-rw-r--r--. 1 root  root  1435 Mar 13 22:11 t_mm.sql
-rw-rw-rw-. 1 mysql mysql  171 Mar 13 22:11 t_mm.txt
mysql> 
mysql> system more /usr/local/mysql/mysql-files/t_emp.txt
1	张三	2018-03-13 18:53:44
3	李四	2018-03-13 18:53:44
5	Alen	2018-03-13 17:37:34
7	USA	2018-03-13 17:39:45
mysql> system more /usr/local/mysql/mysql-files/t_emp.sql--导出表定义脚本
3)使用带选项的语句导出数据库test下的t_emp表;
mysql> system mysqldump -uroot -p -T /usr/local/mysql/mysql-files/ test t_emp --fields-terminated-by=',' --fields-optionally-enclosed-by='"';
Enter password: 
mysql> system ls -l  /usr/local/mysql/mysql-files/
total 8
-rw-r--r--. 1 root  root  1437 Mar 13 22:18 t_emp.sql
-rw-rw-rw-. 1 mysql mysql  127 Mar 13 22:18 t_emp.txt
mysql> system more  /usr/local/mysql/mysql-files/t_emp.txt
1,"张三","2018-03-13 18:53:44"
3,"李四","2018-03-13 18:53:44"
5,"Alen","2018-03-13 17:37:34"
7,"USA","2018-03-13 17:39:45"
mysql> 
以上,可以发现,mysqldump和select...into outfile...的选项和语法非常相似,其实,mysqldump实际调用的就是后者提供的接口,并在其上增添了新功能而已。

MySQL之导入

MySQL的导入功能和导出相对应,也有两种导入方式,分别为:
  • LOAD DATA INFILE...
  • MySQLImport工具

1、LOAD DATA INFILE...
1)语法如下:
LOAD DATA [LOCAL] INFILE 'filename' INTO TABLE tablename [option]
其中option参数可以是以下选项:
  • FIELDS TERMINATED BY 'string'(字段分隔符,默认为制表符‘ ’);
  • FIELDS [OPTIONALLY] ENCLOSED BY 'char' (字段引用符,如果加OPTIONALLY选项则只用在char、varchar和text等字符型字段上,默认不使用引用符);
  • FIELDS ESCAPED BY ‘char’ (转义字符,默认为‘’);
  • LINES STARTING BY ‘string’ (每行前都加此字符串,默认‘’);
  • LINES TERMINATED BY ‘string’ (行结束符,默认为‘ ’);
  • IGNORE number LINES(忽略输入文件中的前n行数据);
  • (col_name_or_user_var,...)(按照列出的字段顺序和字段数量加载数据);
  • SET col_name=expr,...将列做一定的数值转换后再加载;
2)加载导出的t_emp表数据;
mysql> load data infile '/usr/local/mysql/mysql-files/t_emp.txt' into table t_emp fields terminated by  ',' optionally enclosed by '"';
Query OK, 4 rows affected (0.02 sec)
Records: 4  Deleted: 0  Skipped: 0  Warnings: 0

mysql> select *from t_emp;
+----+--------+---------------------+
| id | name   | cdate               |
+----+--------+---------------------+
|  1 | 张三   | 2018-03-13 18:53:44 |
|  3 | 李四   | 2018-03-13 18:53:44 |
|  5 | Alen   | 2018-03-13 17:37:34 |
|  7 | USA    | 2018-03-13 17:39:45 |
+----+--------+---------------------+
4 rows in set (0.00 sec)

mysql> 
3)如果不希望加载前2行,可以用以下语句:
mysql> truncate table t_emp;
Query OK, 0 rows affected (0.06 sec)
mysql> load data infile '/usr/local/mysql/mysql-files/t_emp.txt' into table t_emp fields terminated by  ',' enclosed by '"' ignore 2 lines;
Query OK, 2 rows affected (0.03 sec)
Records: 2  Deleted: 0  Skipped: 0  Warnings: 0

mysql> select *from t_emp;
+----+------+---------------------+
| id | name | cdate               |
+----+------+---------------------+
|  5 | Alen | 2018-03-13 17:37:34 |
|  7 | USA  | 2018-03-13 17:39:45 |
+----+------+---------------------+
2 rows in set (0.00 sec)
mysql> system more /usr/local/mysql/mysql-files/t_emp.txt
1,"张三","2018-03-13 18:53:44"
3,"李四","2018-03-13 18:53:44"
5,"Alen","2018-03-13 17:37:34"
7,"USA","2018-03-13 17:39:45"
mysql> 
4)使用LINES STARTING BY ‘string’选项过滤数据;
mysql> system more /usr/local/mysql/mysql-files/t_emp.txt
Alen1,"张三","2018-03-13 18:53:44"
3,"李四","2018-03-13 18:53:44"
Alen5,"Alen","2018-03-13 17:37:34"
7,"USA","2018-03-13 17:39:45"
mysql> load data infile '/usr/local/mysql/mysql-files/t_emp.txt' into table t_emp fields terminated by  ',' enclosed by '"' lines starting by 'Alen';
Query OK, 2 rows affected (0.05 sec)
Records: 2  Deleted: 0  Skipped: 0  Warnings: 0

mysql> select *from t_emp;
+----+--------+---------------------+
| id | name   | cdate               |
+----+--------+---------------------+
|  1 | 张三   | 2018-03-13 18:53:44 |
|  5 | Alen   | 2018-03-13 17:37:34 |
+----+--------+---------------------+
2 rows in set (0.00 sec)

mysql> 
注:LINES STARTING BY ‘string’选项时,可跳过指定字符的前缀以及前缀之前的所有字符,如果某行不包含该指定字符,则该行记录也会被跳过。
5)表中的列数多于数据文件时的处理;
mysql> desc t_emp;
+-------+--------------+------+-----+-------------------+----------------+
| Field | Type         | Null | Key | Default           | Extra          |
+-------+--------------+------+-----+-------------------+----------------+
| id    | int(11)      | NO   | PRI | NULL              | auto_increment |
| name  | varchar(100) | YES  |     | NULL              |                |
| cdate | datetime     | YES  |     | CURRENT_TIMESTAMP |                |
| sex   | char(1)      | YES  |     | NULL              |                |
+-------+--------------+------+-----+-------------------+----------------+
4 rows in set (0.00 sec)

mysql> system more /usr/local/mysql/mysql-files/t_emp.txt
1,"张三","2018-03-13 18:53:44"
3,"李四","2018-03-13 18:53:44"
5,"Alen","2018-03-13 17:37:34"
7,"USA","2018-03-13 17:39:45"
mysql> truncate table t_emp;
Query OK, 0 rows affected (0.07 sec)

mysql> load data infile '/usr/local/mysql/mysql-files/t_emp.txt' into table t_emp fields terminated by  ',' enclosed by '"' (id,name,cdate);
Query OK, 4 rows affected (0.06 sec)
Records: 4  Deleted: 0  Skipped: 0  Warnings: 0

mysql> select *from t_emp;
+----+--------+---------------------+------+
| id | name   | cdate               | sex  |
+----+--------+---------------------+------+
|  1 | 张三   | 2018-03-13 18:53:44 | NULL |
|  3 | 李四   | 2018-03-13 18:53:44 | NULL |
|  5 | Alen   | 2018-03-13 17:37:34 | NULL |
|  7 | USA    | 2018-03-13 17:39:45 | NULL |
+----+--------+---------------------+------+
4 rows in set (0.00 sec)

mysql> 
6)表中的列数少于数据文件时的处理;
mysql> desc t_emp;
+-------+--------------+------+-----+-------------------+----------------+
| Field | Type         | Null | Key | Default           | Extra          |
+-------+--------------+------+-----+-------------------+----------------+
| id    | int(11)      | NO   | PRI | NULL              | auto_increment |
| name  | varchar(100) | YES  |     | NULL              |                |
| cdate | datetime     | YES  |     | CURRENT_TIMESTAMP |                |
| sex   | int(1)       | YES  |     | NULL              |                |
+-------+--------------+------+-----+-------------------+----------------+
4 rows in set (0.00 sec)

mysql> system more /usr/local/mysql/mysql-files/t_emp.txt
1,1,"张三","2018-03-13 18:53:44",25
3,1,"李四","2018-03-13 18:53:44",24
5,1,"Alen","2018-03-13 17:37:34",30
7,0,"Lucy","2018-03-13 17:39:45",20
mysql> truncate table t_emp;
Query OK, 0 rows affected (0.07 sec)

mysql> load data infile '/usr/local/mysql/mysql-files/t_emp.txt' into table t_emp fields terminated by  ',' enclosed by '"' (id,sex,name,cdate,@tmp);
Query OK, 4 rows affected (0.03 sec)
Records: 4  Deleted: 0  Skipped: 0  Warnings: 0

mysql> select *from t_emp;
+----+--------+---------------------+------+
| id | name   | cdate               | sex  |
+----+--------+---------------------+------+
|  1 | 张三   | 2018-03-13 18:53:44 |    1 |
|  3 | 李四   | 2018-03-13 18:53:44 |    1 |
|  5 | Alen   | 2018-03-13 17:37:34 |    1 |
|  7 | Lucy   | 2018-03-13 17:39:45 |    0 |
+----+--------+---------------------+------+
4 rows in set (0.00 sec)

mysql> 
7)表中的列数和数据文件不一样,并且数据文件的列类型也不同时的处理;
mysql> desc t_emp;
+-------+--------------+------+-----+-------------------+----------------+
| Field | Type         | Null | Key | Default           | Extra          |
+-------+--------------+------+-----+-------------------+----------------+
| id    | int(11)      | NO   | PRI | NULL              | auto_increment |
| name  | varchar(100) | YES  |     | NULL              |                |
| cdate | datetime     | YES  |     | CURRENT_TIMESTAMP |                |
| sex   | int(1)       | YES  |     | NULL              |                |
+-------+--------------+------+-----+-------------------+----------------+
4 rows in set (0.00 sec)

mysql> system more /usr/local/mysql/mysql-files/t_emp.txt
1,"男","张三","2018-03-13 18:53:44",25
3,"男","李四","2018-03-13 18:53:44",24
5,"男","Alen","2018-03-13 17:37:34",30
7,"女","Lucy","2018-03-13 17:39:45",20
mysql> load data infile '/usr/local/mysql/mysql-files/t_emp.txt' into table t_emp
    -> fields terminated by  ','
    -> enclosed by '"' (id,@tmp_sex,name,cdate,@tmp)
    -> set sex=if(@tmp_sex='男',1,0);
Query OK, 4 rows affected (1.05 sec)
Records: 4  Deleted: 0  Skipped: 0  Warnings: 0

mysql> select *from t_emp;
+----+--------+---------------------+------+
| id | name   | cdate               | sex  |
+----+--------+---------------------+------+
|  1 | 张三   | 2018-03-13 18:53:44 |    1 |
|  3 | 李四   | 2018-03-13 18:53:44 |    1 |
|  5 | Alen   | 2018-03-13 17:37:34 |    1 |
|  7 | Lucy   | 2018-03-13 17:39:45 |    0 |
+----+--------+---------------------+------+
4 rows in set (0.00 sec)

mysql> 

2、MySQLImport工具
1)语法如下:
mysqlimport -uroot -p [local] dbname tab.txt [option]
其中option参数可以是以下选项:
  • --fields-terminated-by=name(字段分隔符);
  • --fields-enclosed-by=name(字段引用符);
  • --fields-optionally-enclosed-by=name(字段引用符,只用在char、varchar和text等字符型字段上);
  • --fields-escaped-by=name(转义字符);
  • --lines-terminated-by=name(记录结束符);
  • --ignore-lines=number(忽略前几行);
注:mysqlimport命令实际上就是LOAD DATA INFILE语句的命令行调用接口,mysqlimport导入数据要求数据文件名与表名相同,更详细的命令可通过 mysqlimport --help查看。
2)用法和MySQLdump相同,举例省略...




原文地址:https://www.cnblogs.com/alen-liu-sz/p/12975679.html