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這裡講解SNS交友社區的資料庫設計與實現
我們要實現下面幾個功能
CREATE DATABASE `sns` /*!40100 COLLATE 'utf8_general_ci' */
people 是存儲人,你可以用為user,member都可以
CREATE TABLE `people` ( `id` INT(10) UNSIGNED NOT NULL AUTO_INCREMENT, `name` VARCHAR(50) NOT NULL, PRIMARY KEY (`id`) ) COMMENT='Social Network Site - Six Degrees of Separation - http://www.netkiller.cn' COLLATE='utf8_general_ci' ENGINE=InnoDB;
存儲具體的這人
這個表的功能主要是維持朋友之間的關係網,這裡使用了多對多方式並且使用外鍵防止產生臟數據。
CREATE TABLE `friend` ( `id` INT(10) UNSIGNED NOT NULL AUTO_INCREMENT, `people_id` INT(10) UNSIGNED NOT NULL, `friend_id` INT(10) UNSIGNED NOT NULL, `ctime` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), UNIQUE INDEX `unique` (`people_id`, `friend_id`), INDEX `FK_firend_people` (`people_id`), INDEX `FK_firend_people_2` (`friend_id`), CONSTRAINT `FK_firend_people` FOREIGN KEY (`people_id`) REFERENCES `people` (`id`), CONSTRAINT `FK_firend_people_2` FOREIGN KEY (`friend_id`) REFERENCES `people` (`id`) ) COMMENT='Social Network Site - Six Degrees of Separation - http://www.netkiller.cn' COLLATE='utf8_general_ci' ENGINE=InnoDB;
首先初始化用戶數據
INSERT INTO `people` (`id`, `name`) VALUES (1, 'Neo'), (2, 'Luke'), (3, 'Jack'), (4, 'Joey'), (5, 'Jam'), (6, 'John');
建立朋友之間的關係
INSERT INTO `friend` (`id`, `people_id`, `friend_id`) VALUES (1, 1, 2), (2, 1, 3), (3, 1, 4), (4, 1, 5), (5, 1, 6), (6, 2, 1), (7, 2, 3);
現在就可以查找你的朋友了
select people.* from friend, people where friend.people_id = 1 and friend.friend_id = people.id;
查找朋友的朋友就比較麻煩了,必須使用遞歸方法,一層一層查下去,反覆執行SQL效率是很低的,所以我們準備了第三張表。
關係網表,主要功能是彌補firend表,用於快速檢索(在不使用遞歸的情況下)
CREATE TABLE `network` ( `id` INT(10) UNSIGNED NOT NULL AUTO_INCREMENT, `people_id` INT(10) UNSIGNED NOT NULL, `following_id` INT(10) UNSIGNED NOT NULL, `friend_id` INT(10) UNSIGNED NULL DEFAULT NULL, `degrees` VARCHAR(250) NOT NULL, `ctime` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), UNIQUE INDEX `unique` (`people_id`, `friend_id`, `following_id`), INDEX `FK_firend_people` (`people_id`), INDEX `FK_firend_people_2` (`friend_id`), INDEX `FK_friend_people_following_id` (`following_id`), CONSTRAINT `FK_firend_people` FOREIGN KEY (`people_id`) REFERENCES `people` (`id`), CONSTRAINT `FK_friend_people_following_id` FOREIGN KEY (`following_id`) REFERENCES `people` (`id`), CONSTRAINT `FK_friend_people_friend_id` FOREIGN KEY (`friend_id`) REFERENCES `people` (`id`) ) COMMENT='Social Network Site - Six Degrees of Separation - http://www.netkiller.cn' COLLATE='utf8_general_ci' ENGINE=InnoDB;
following 一個朋友, Neo following Jam
INSERT INTO `people` (`id`, `name`) VALUES (1, 'Neo'), (2, 'Luke'), (3, 'Jack'), (4, 'Joey'), (5, 'Jam'), (6, 'John'); INSERT INTO `network` (`people_id`, `following_id`, `friend_id`, `degrees`) VALUES ( 1, 5, NULL, '1.5');
之前Neo已經 following Jam,接下來查找Jam的朋友,現在Neo following John, John 是 Jam 的朋友,friend_id = NULL 表示 Jam 尚未有朋友
select * from network where people_id=1 and friend_id = 5; INSERT INTO `sns`.`network` (`people_id`, `following_id`, `friend_id`, `degrees`) VALUES ('1', '6', '5', '1.5.6');
Neo following Joey, Joey 是 Luke 的朋友, 所以 Luke可能是 Neo的朋友
INSERT INTO `sns`.`network` (`people_id`, `following_id`, `friend_id`, `degrees`) VALUES ('1', '4', '2', '1.2.4');
查詢不同維度下的所有好友,查詢出的用戶ID需要處理。
select * from network where people_id=1 and degrees like "1.%"; select * from network where people_id=1 and degrees like "1.2%"; select * from network where people_id=1 and degrees like "1.2.%";
至此社區管理網就建立起來了
上面的例子演示了 people_id=1 即 Neo 的關係網