Mysql创建用户表并利用存储过程添加100万条随机用户数据

1.创建用户表

CREATE TABLE user100w(
  id INT NOT NULL AUTO_INCREMENT,
  first_name VARCHAR(10) NOT NULL,
  last_name VARCHAR(10) NOT NULL,
  sex VARCHAR(5) NOT NULL,
  score INT NOT NULL,
  copy_id INT NOT NULL,
  PRIMARY KEY (`id`)
);

2.创建存储过程

DROP PROCEDURE IF EXISTS add_user;  
DELIMITER //
    create PROCEDURE add_user(in num INT)
    BEGIN
        DECLARE rowid INT DEFAULT 0;
        DECLARE firstname CHAR(1);
        DECLARE name1 CHAR(1);
        DECLARE name2 CHAR(1);
        DECLARE lastname VARCHAR(3) DEFAULT '';
        DECLARE sex CHAR(1);
        DECLARE score CHAR(2);
        WHILE rowid < num DO
        SET firstname = SUBSTRING('赵钱孙李周吴郑王林杨柳刘孙陈江阮侯邹高彭徐',FLOOR(1+21*RAND()),1); 
        SET name1 = SUBSTRING('一二三四五六七八九十甲乙丙丁静景京晶名明铭敏闵民军君俊骏天田甜兲恬益依成城诚立莉力黎励',ROUND(1+43*RAND()),1); 
        SET name2 = SUBSTRING('一二三四五六七八九十甲乙丙丁静景京晶名明铭敏闵民军君俊骏天田甜兲恬益依成城诚立莉力黎励',ROUND(1+43*RAND()),1); 
        SET sex=FLOOR(0 + (RAND() * 2));
        SET score= FLOOR(40 + (RAND() *60));
        SET rowid = rowid + 1;
        IF ROUND(RAND())=0 THEN 
        SET lastname =name1;
        END IF;
        IF ROUND(RAND())=1 THEN
        SET lastname = CONCAT(name1,name2);
        END IF;
        insert INTO user100w (first_name,last_name,sex,score,copy_id) VALUES (firstname,lastname,sex,score,rowid);  
        END WHILE;
    END //
DELIMITER ;

3.调用存储过程添加随机用户数据，比如随机插入1000000条数据：

call add_user(1000000);

执行结果如下：

从上述结果中可以看出，利用上面的存储过程添加100万条随机用户数据是非常耗时的，用了几乎一个小时的时间。下面是优化后的存储过程：

DROP PROCEDURE IF EXISTS add_user_optimizition;  
DELIMITER //
    create PROCEDURE add_user_optimizition(in num INT)
    BEGIN
        DECLARE rowid INT DEFAULT 0;
        DECLARE firstname CHAR(1);
        DECLARE name1 CHAR(1);
        DECLARE name2 CHAR(1);
        DECLARE lastname VARCHAR(3) DEFAULT '';
        DECLARE sex CHAR(1);
        DECLARE score CHAR(2);
        SET @exedata = "";
        WHILE rowid < num DO
            SET firstname = SUBSTRING('赵钱孙李周吴郑王林杨柳刘孙陈江阮侯邹高彭徐',FLOOR(1+21*RAND()),1); 
            SET name1 = SUBSTRING('一二三四五六七八九十甲乙丙丁静景京晶名明铭敏闵民军君俊骏天田甜兲恬益依成城诚立莉力黎励',ROUND(1+43*RAND()),1); 
            SET name2 = SUBSTRING('一二三四五六七八九十甲乙丙丁静景京晶名明铭敏闵民军君俊骏天田甜兲恬益依成城诚立莉力黎励',ROUND(1+43*RAND()),1); 
            SET sex=FLOOR(0 + (RAND() * 2));
            SET score= FLOOR(40 + (RAND() *60));
            SET rowid = rowid + 1;
            IF ROUND(RAND())=0 THEN 
            SET lastname =name1;
            END IF;
            IF ROUND(RAND())=1 THEN
            SET lastname = CONCAT(name1,name2);
            END IF;
            IF length(@exedata)>0 THEN
            SET @exedata = CONCAT(@exedata,',');
            END IF;
            SET @exedata=concat(@exedata,"('",firstname,"','",lastname,"','",sex,"','",score,"','",rowid,"')");
            IF rowid%1000=0
            THEN 
                SET @exesql =concat("insert into user100w_optimizition(first_name,last_name,sex,score,copy_id) values ", @exedata);
                prepare stmt from @exesql;
                execute stmt;
                DEALLOCATE prepare stmt;
                SET @exedata = "";
            END IF;
        END WHILE;
        IF length(@exedata)>0 
        THEN
            SET @exesql =concat("insert into user100w_optimizition(first_name,last_name,sex,score,copy_id) values ", @exedata);
            prepare stmt from @exesql;
            execute stmt;
            DEALLOCATE prepare stmt;
        END IF; 
    END //
DELIMITER ;

创建一个与上述用户表同样的表结构如下：

CREATE TABLE user100w_optimizition(
  id INT NOT NULL AUTO_INCREMENT,
  first_name VARCHAR(10) NOT NULL,
  last_name VARCHAR(10) NOT NULL,
  sex VARCHAR(5) NOT NULL,
  score INT NOT NULL,
  copy_id INT NOT NULL,
  PRIMARY KEY (`id`)
);

执行优化后的存储过程：

 call add_user_optimizition(1000001);

执行结果如下：

优化后的结果可以看到，百万条数据只需要50秒的执行时间，优化作用十分显著。对比优化前后的存储过程，不难发现我这里只是修改了一下sql的结构，把多条sql合并成一条执行。从这个案例中，我们总结出:如果一次性对同一个表插入多条数据，将insert语句拼成一条的效率会更高。