mysql测试数据批量插入

简介

场景1：测试sql服务器性能时需要单表100万以上数据时
场景2：业务测试数据1000个账号每个账号有5个商品
当我们遇到以上场景时，如何快速造数据？

原理

利用select的交叉连接(cross join)。如果不带WHERE条件子句，它将会返回被连接的两个表的笛卡尔积，返回结果的行数等于两个表行数的乘积；
需要预先准备好表和样本数据

造出10万，100万，1000万个用户？

创建一张用户表

CREATE TABLE account(
  id INT(11) NOT NULL AUTO_INCREMENT,
  name VARCHAR(50) NOT NULL,
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (id)
);

如何造出待插入造出10万个用户数据
- 从account表中看出，我们需要制造出10万条以上不同的name
- name为NAME1，NAME2,NAME3,…,NAME100000
- 创建一个有10条数据的表

CREATE TABLE sample(
  id INT(11) NOT NULL AUTO_INCREMENT,
  value INT(5) NOT NULL DEFAULT 0,
  PRIMARY KEY (id)
);

INSERT INTO sample(value)
VALUES (1), (2), (3), (4), (5), (6), (7), (8), (9), (10);

cross join测试

-- 显示10条数据，列的偏移值为10000
SELECT
  @rownum := @rownum + 1
FROM
  sample,
  (SELECT @rownum := 10000) AS v;

-- 显示10×10条数据，列的偏移值为10000
SELECT
  @rownum := @rownum + 1
FROM
  sample AS s1,
  sample AS s2,
  (SELECT @rownum := 10000) AS v;

插入10万条用户数据，即10×10×10×10×10

INSERT INTO account(name)
SELECT
  CONCAT('NAME' , @rownum := @rownum + 1)
FROM
  sample AS s1,
  sample AS s2,
  sample AS s3,
  sample AS s4,
  sample AS s5,
  (SELECT @rownum := 0) AS v

执行结果 0.799 sec 是不是很激动？

21:49:37    INSERT INTO account(name) SELECT   CONCAT('NAME' , @rownum := @rownum + 1) FROM   sample AS s1,   sample AS s2,   sample AS s3,   sample AS s4,   sample AS s5,   (SELECT @rownum := 0) AS v    100000 row(s) affected Records: 100000  Duplicates: 0  Warnings: 0  0.799 sec

1000个账号每个账号有5个商品

创建一个商品表

CREATE TABLE item(
  id INT(11) NOT NULL AUTO_INCREMENT,
  account_id INT(11) NOT NULL,
  master_item_id INT(11) NOT NULL,
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (id)
);

商品表样本数据

INSERT INTO item(account_id, master_item_id)
VALUES (1, 1), (1, 2), (1, 3), (1, 4), (1, 5);

1000个账号每个账号有5个商品。新增为（账号为2～1000，账号1为样本数据）

INSERT INTO item(account_id, master_item_id)
SELECT
  a.id,
  i.master_item_id
FROM
  item AS i,
  account AS a
WHERE
  i.account_id = 1
AND
  a.id BETWEEN 2 AND 1000

执行结果 0.125 sec

22:42:54    INSERT INTO item(account_id, master_item_id) SELECT   a.id,   i.master_item_id FROM   item AS i,   account AS a WHERE   i.account_id = 1 AND   a.id BETWEEN 2 AND 1000  4995 row(s) affected Records: 4995  Duplicates: 0  Warnings: 0  0.125 sec

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