left join 左链接即以左表为基准,显示坐标全部的行,右表与左表关联的数据会显示,不关联的则不显示。关键字为left join on。
**基本用法以下: html
select table a left join table b on a.id = b.ta_id**
注意:
其中on后面关联的字段应该是同一字段(两表关联的外键)
因为以左表为基准,左表一条记录若是对应右表多条记录,那查出的数据中右表的数据也只显示一条,若是要都显示,能够用group_contact()将字段用逗号隔开显示在一条记录上。因此右表无论有几张,若是和左表都是一对一关系,则没问题,存在一对多关系时,须要必定的处理。spa
一、内链接:将两个表中存在连结关系的字段符合链接条件的记录造成记录集.net
SELECT A. NAME, B. NAME FROM A INNER JOIN B ON A.id = B.id
和code
SELECT A. NAME, B. NAME FROM A, B WHERE A.id = B.id
结果是同样的(内链接的inner关键字可省略);htm
二、外链接:分为左外链接和右外链接blog
左链接A、B表结果包括A的所有记录和符合条件的B的记录。get
右联结A、B表的结果和左联结B、A的结果是同样的,也就是说:it
SELECT A. NAME, B. NAME FROM A LEFT JOIN B ON A.id = B.id
和io
SELECT A. NAME, B. NAME FROM B RIGHT JOIN A ON B.id - A.id
执行后的结果是同样的。table
三、全联结
四、无联结
五、三表联结查询
SELECT username, psw, gname, tel FROM ( t1 LEFT JOIN t2 ON t1.t1_id = t2.t1_id ) LEFT JOIN t3 ON t1.t1_id = t3.t1_id
六、终极的三表联结查询
items:商品表,item_visit_stats:商品访问表,item_trade_stats:商品销售表
/* Source Server : localhost Source Server Version : 50505 Source Host : localhost:3306 Source Database : test Target Server Type : MYSQL Target Server Version : 50505 File Encoding : 65001 Date: 2018-09-14 19:00:46 */ SET FOREIGN_KEY_CHECKS=0; -- ---------------------------- -- Table structure for items -- ---------------------------- DROP TABLE IF EXISTS `items`; CREATE TABLE `items` ( `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT, `title` varchar(255) DEFAULT '', `price` varchar(255) DEFAULT '', `nick` varchar(255) DEFAULT '', PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='商品表'; -- ---------------------------- -- Table structure for item_trade_stats -- ---------------------------- DROP TABLE IF EXISTS `item_trade_stats`; CREATE TABLE `item_trade_stats` ( `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT, `buyer_num` int(11) unsigned DEFAULT '0', `item_num` int(11) unsigned DEFAULT '0', `seller_nick` varchar(255) DEFAULT '', `business_day` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='商品销售表'; -- ---------------------------- -- Table structure for item_visit_stats -- ---------------------------- DROP TABLE IF EXISTS `item_visit_stats`; CREATE TABLE `item_visit_stats` ( `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT, `user_visits` varchar(255) NOT NULL, `business_day` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='商品访问表';
SELECT i.id, i.title, SUM(ivs.user_visits) AS uv, its.item_num * i.price AS turnover FROM ( items AS i RIGHT JOIN item_visit_stats AS ivs ON i.id = ivs.id ) LEFT JOIN ( SELECT id, SUM(item_num) AS item_num FROM item_trade_stats WHERE seller_nick = "XXXX" GROUP BY id ) AS its ON its.id = ivs.id WHERE i.nick = "XXXX" GROUP BY i.id ORDER BY uv DESC
https://blog.csdn.net/chentaocba/article/details/7697825
写的时候从外层往里写,一层一层left join,才不容易出错。
http://www.cnblogs.com/amyStart/p/5965472.html