背景:先总结一下MYSQL 自增长与ORACLE 序列的区别:
自增长只能用于表中的其中一个字段
自增长只能被分配给固定表的固定的某一字段,不能被多个表共用.
自增长会把一个未指定或NULL值的字段自动填上.
实验:我们可以用创建一个序列表,使用函数来获取序列的值
1. 新建序列表
drop table if exists tb_sequence; create table tb_sequence ( seq_name VARCHAR(50) NOT NULL, -- 序列名称 current_val INT NOT NULL, -- 当前值 increment_val INT NOT NULL DEFAULT 1, -- 步长(跨度) PRIMARY KEY (seq_name) );
2、 新增一个序列
INSERT INTO tb_sequence VALUES ('seq_test1_num1', '0', '1'); INSERT INTO tb_sequence VALUES ('seq_test1_num2', '0', '2');
3、创建 函数 用于获取序列当前值(v_seq_name 参数值 代表序列名称)
create function currval(v_seq_name VARCHAR(50)) returns integer begin declare value integer; set value = 0; select current_val into value from tb_sequence where seq_name = v_seq_name; return value; end;
4、查询当前值
select currval('seq_test1_num1');
5、创建 函数 用于获取序列下一个值(v_seq_name 参数值 代表序列名称)
create function nextval (v_seq_name VARCHAR(50)) returns integer begin update tb_sequence set current_val = current_val + increment_val where seq_name = v_seq_name; return currval(v_seq_name); end;
6、 查询下一个值
select nextval('seq_test1_num1');
7、新建表 用于测试的表
DROP TABLE IF EXISTS `test1`; CREATE TABLE `test1` ( `name` varchar(255) NOT NULL, `value` double(255,0) DEFAULT NULL, `num1` int(11) DEFAULT NULL, `num2` int(11) DEFAULT NULL, PRIMARY KEY (`name`) );
8、 新建触发器 插入新纪录前给自增字段赋值实现字段自增效果
CREATE TRIGGER `TRI_test1_num1` BEFORE INSERT ON `test1` FOR EACH ROW BEGIN set NEW.num1 = nextval('seq_test1_num1'); set NEW.num2 = nextval('seq_test1_num2'); END
9、 最后测试自增效果
INSERT INTO test1 (name, value) VALUES ('1', '111'); INSERT INTO test1 (name, value) VALUES ('2', '222'); INSERT INTO test1 (name, value) VALUES ('3', '333'); INSERT INTO test1 (name, value) VALUES ('4', '444');
10、实验结果
SELECT * FROM test1;


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MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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