我共有6张表,其中保存了不同的信息
现在我需要一个结果,从5个表中获取计数并从主表中选择所有信息,但如果记录不存在,则必须返回0而不是没有找到行,这就是问题
我尝试了以下查询,但未获得成功
SELECT
u.*,
COUNT(DISTINCT c.id) as comments,
COUNT(DISTINCT d.id) as dislikes,
COUNT(DISTINCT l.id) as likes,
COUNT(DISTINCT s.id) as shares,
COUNT(DISTINCT t.id) as tags
FROM
job_details as u
JOIN job_comments as c ON u.id = c.job_id
JOIN job_dislike as d ON u.id = d.job_id
JOIN job_like as l ON u.id = l.job_id
JOIN job_share as s ON u.id = s.job_id
JOIN job_tags as t ON u.id = t.job_id
WHERE
u.id = c.job_id AND
u.id = d.job_id AND
u.id = l.job_id AND
u.id = s.job_id AND
u.id = t.job_id
GROUP BY
u.id
执行此查询,但未获得确切的结果。 我不太明白为什么。
我希望有人可以帮助我吗?
谢谢!
答案 0 :(得分:1)
使用LEFT JOIN
代替JOIN
。并且您不需要WHERE
子句,因为您已加入这些表。并且,使用IFNULL
函数为空值返回0。你需要像这样修改你的查询:
SELECT u.id,
IFNULL(COUNT(DISTINCT c.id),0) as comments,
IFNULL(COUNT(DISTINCT d.id),0) as dislikes,
IFNULL(COUNT(DISTINCT l.id),0) as likes,
IFNULL(COUNT(DISTINCT s.id),0) as shares,
IFNULL(COUNT(DISTINCT t.id),0) as tags
FROM job_details as u
LEFT JOIN job_comments as c ON u.id = c.job_id
LEFT JOIN job_dislike as d ON u.id = d.job_id
LEFT JOIN job_like as l ON u.id = l.job_id
LEFT JOIN job_share as s ON u.id = s.job_id
LEFT JOIN job_tags as t ON u.id = t.job_id
GROUP BY u.id
答案 1 :(得分:1)
您可能没有得到确切的结果,因为某些表可能缺少值。
虽然您可以使用$(document).ready(function(){
$("body").on("click", ".slide", function(e){
e.preventDefault();
console.log($("#tam-content").load($(this).data("url") + ' ' + $(this).data("target")));
});
});
解决此问题,但更安全的解决方案是预先汇总数据:
LEFT JOIN
为什么这样更好?考虑一个包含5条评论,喜欢,不喜欢,分享和标签的ID。 SELECT u.*, c.comments, d.dislikes, l.likes, s.shares, t.tags
FROM job_details as u LEFT JOIN
(select c.job_id, count(*) as comments from job_comments group by c.job_id
) c
ON u.id = c.job_id LEFT JOIN
(select d.job_id, count(*) as dislikes from job_dislike d group by d.job_id
) d
ON u.id = d.job_id LEFT JOIN
(select l.job_id, count(*) as likes from job_like l group by l.job_id
) l
ON u.id = l.job_id LEFT JOIN
(select s.job_id, count(*) as shares from job_share s group by s.job_id
) s
ON u.id = s.job_id LEFT JOIN
(select t.job_id, count(*) as tags from job_tags t group by t.job_id
) t
ON u.id = t.job_id;
方法产生5 * 5 * 5 * 5 * 5 = 3,125中间行的中间结果。对于流行的ID来说,事情真的无法实现。