如果我們在計算日期時使用 ORDER BY 子句,尋找記錄會更方便。為了理解它,我們從表“Collegedetail”中獲取數據,如下-
mysql> Select * from Collegedetail; +------+---------+------------+ | ID | Country | Estb | +------+---------+------------+ | 111 | INDIA | 2010-05-01 | | 130 | INDIA | 1995-10-25 | | 139 | USA | 1994-09-25 | | 1539 | UK | 2001-07-23 | | 1545 | Russia | 2010-07-30 | +------+---------+------------+ 5 rows in set (0.00 sec)
現在,假設我們想計算一所大學的歷史年數,那麼可以按如下方式完成-
mysql> Select ID, estb, CURDATE(),((YEAR(CURDATE())-YEAR(estb))-(RIGHT(CURDATE(),5)<RIGHT(estb,5))) AS 'YEARS_OLD' from collegedetail; +------+------------+------------+-----------+ | ID | estb | CURDATE() | YEARS_OLD | +------+------------+------------+-----------+ | 111 | 2010-05-01 | 2017-11-30 | 7 | | 130 | 1995-10-25 | 2017-11-30 | 22 | | 139 | 1994-09-25 | 2017-11-30 | 23 | | 1539 | 2001-07-23 | 2017-11-30 | 16 | | 1545 | 2010-07-30 | 2017-11-30 | 7 | +------+------------+------------+-----------+ 5 rows in set (0.00 sec)
如果我們在計算大學成立年數時使用如下ORDER BY 子句,我們的搜尋會更方便-
mysql> Select ID, estb, CURDATE(),((YEAR(CURDATE())-YEAR(estb))-(RIGHT(CURDATE(),5)<RIGHT(estb,5))) AS 'YEARS_OLD' from collegedetail ORDER BY YEARS_OLD; +------+------------+------------+-----------+ | ID | estb | CURDATE() | YEARS_OLD | +------+------------+------------+-----------+ | 111 | 2010-05-01 | 2017-11-30 | 7 | | 1545 | 2010-07-30 | 2017-11-30 | 7 | | 1539 | 2001-07-23 | 2017-11-30 | 16 | | 130 | 1995-10-25 | 2017-11-30 | 22 | | 139 | 1994-09-25 | 2017-11-30 | 23 | +------+------------+------------+-----------+ 5 rows in set (0.01 sec)
上面的結果集顯示,我們可以透過使用帶有「YEARS_OLD」的ORER BY 子句非常輕鬆地搜尋最古老的大學。我們也可以將 DESC 關鍵字與 ORDER BY 子句一起使用,該子句傳回頂行中最古老的大學,如下所示 -
mysql> Select ID, estb, CURDATE(),((YEAR(CURDATE())-YEAR(estb))-(RIGHT(CURDATE(),5)<RIGHT(estb,5))) AS 'YEARS_OLD' from collegedetail ORDER BY YEARS_O LD DESC; +------+------------+------------+-----------+ | ID | estb | CURDATE() | YEARS_OLD | +------+------------+------------+-----------+ | 139 | 1994-09-25 | 2017-11-30 | 23 | | 130 | 1995-10-25 | 2017-11-30 | 22 | | 1539 | 2001-07-23 | 2017-11-30 | 16 | | 111 | 2010-05-01 | 2017-11-30 | 7 | | 1545 | 2010-07-30 | 2017-11-30 | 7 | +------+------------+------------+-----------+ 5 rows in set (0.00 sec)
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