좋은 프로그램은 마음의 여유에서 나온다.

mysql sequence 흉내내기 본문

데이터베이스/MySql,maria

mysql sequence 흉내내기

말라 2012.11.13 21:49

특정값기준으로 자동증가 하고싶을경우 사용하면 좋을듯.. 


출처 : http://blog.naver.com/PostView.nhn?blogId=deepblue28&logNo=140171138992


http://stackoverflow.com/questions/3347811/mysql-custom-sequence-generator-like-oracle

http://dev.mysql.com/doc/refman/5.1/en/example-auto-increment.html

 

MYISAM 만 된다는거..

 

CREATE TABLE component_core ( 

    component_id INT AUTO_INCREMENT, 

    PRIMARY KEY(component_id) 

); 

 

CREATE TABLE component_history ( 

    component_id INT NOT NULL, 

    version_id INT AUTO_INCREMENT, 

    DATA VARCHAR(20), 

    version_start_date DATETIME NOT NULL, 

    version_end_date DATETIME NOT NULL, 

    PRIMARY KEY(component_id,version_id) 

) ENGINE=MYISAM; 

 

INSERT INTO component_core () VALUES ();

INSERT INTO component_core () VALUES ();

 

INSERT INTO component_history 

(component_id, DATA, version_start_date, version_end_date)

VALUES (1, 'data', NOW(), NOW());

INSERT INTO component_history 

(component_id, DATA, version_start_date, version_end_date)

VALUES (1, 'data', NOW(), NOW());

INSERT INTO component_history 

(component_id, DATA, version_start_date, version_end_date)

VALUES (1, 'data', NOW(), NOW());

INSERT INTO component_history 

(component_id, DATA, version_start_date, version_end_date)

VALUES (2, 'data', NOW(), NOW());

INSERT INTO component_history 

(component_id, DATA, version_start_date, version_end_date)

VALUES (2, 'data', NOW(), NOW());

INSERT INTO component_history 

(component_id, DATA, version_start_date, version_end_date)

VALUES (2, 'data', NOW(), NOW());

 

SELECT * FROM component_history;

 

component_id  version_id   data       version_start_date       version_end_date   

1             1            data       2012-10-25 12:40:22      2012-10-25 12:40:22

1             2            data       2012-10-25 12:40:26      2012-10-25 12:40:26

1             3            data       2012-10-25 12:40:26      2012-10-25 12:40:26

2             1            data       2012-10-25 12:40:45      2012-10-25 12:40:45

2             2            data       2012-10-25 12:40:46      2012-10-25 12:40:46

2             3            data       2012-10-25 12:40:47      2012-10-25 12:40:47


 

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