我有两个表talk_comments
和talk_comment_votes
。
我运行以下代码以选择commentId
,numberOfUpvotes
,whetherUserUpvoted
,numberOfDownvotes
,whetherUserDownvoted
,并在同一表中使用左联接。>
SELECT c.id, COUNT(v1.id) as upvotes, COUNT(v2.id) as userUpvoted, COUNT(v3.id) as downvotes, COUNT(v4.id) as userDownvoted FROM talk_comments c
LEFT JOIN talk_comment_votes v1 ON v1.comment_id = c.id AND v1.status = 1
LEFT JOIN talk_comment_votes v2 ON v2.comment_id = c.id AND v2.status = 1 AND v2.user_id = 1 AND v2.is_anonymous = 0
LEFT JOIN talk_comment_votes v3 ON c.id = v3.comment_id AND v3.status = 2
LEFT JOIN talk_comment_votes v4 ON c.id = v4.comment_id AND v4.status = 2 AND v4.user_id = 1 AND v4.is_anonymous = 0
WHERE c.id = 2 GROUP BY c.id
我的talk_comment_votes表中有以下数据
因此,根据查询,它应该分别选择值2,2,0,1,1
。当我中断那些JOIN语句并执行查询时,它将返回预期的结果。但是,对于JOIN,它会返回如下内容。
我可以在修复此问题上获得一些帮助吗?
谢谢。
答案 0 :(得分:0)
我将使用条件聚合。联接到对tall_comment_votes
的单个引用,然后检查表达式中的条件。
SELECT c.id
, SUM(IF(v.status = 1 ,1,0)) AS upvotes
, SUM(IF(v.status = 1 AND v.user_id = 1 AND v.is_anonymous = 0 ,1,0)) AS userUpvoted
, SUM(IF(v.status = 2 ,1,0)) AS downvotes
, SUM(IF(v.status = 2 AND v.user_id = 1 AND v.is_anonymous = 0 ,1,0)) AS userDownvoted
FROM talk_comments c
LEFT
JOIN talk_comment_votes v
ON v.comment_id = c.id
WHERE c.id = 2
GROUP
BY c.id
当v1,v2,v3和v4返回多行时,这避免了部分叉积的问题。
MySQL IF()
表达式可以替换为更符合ANSI标准的CASE
表达式,例如
, SUM(CASE WHEN v.status = 1 THEN 1 ELSE 0 END) AS upvotes
关注
设置测试用例并观察执行计划和性能
填充表格
CREATE TABLE talk_comments (id INT NOT NULL PRIMARY KEY AUTO_INCREMENT);
CREATE TABLE talk_comment_votes (id INT NOT NULL PRIMARY KEY AUTO_INCREMENT, comment_id INT UNSIGNED NOT NULL, user_id INT UNSIGNED NOT NULL, is_anonymous TINYINT(1) UNSIGNED NOT NULL, STATUS TINYINT UNSIGNED, time_ INT UNSIGNED);
CREATE INDEX talk_comment_votes_IX1 ON talk_comment_votes (comment_id, STATUS, user_id, is_anonymous) ;
INSERT INTO talk_comments (id) VALUES (1),(2),(3);
INSERT INTO talk_comment_votes (id, comment_id, user_id, is_anonymous, STATUS, time_) VALUES (1,2,2,0,1,0),(2,1,1,0,1,0),(3,2,1,0,2,NULL),(4,7,1,0,2,NULL),(5,1,14,1,1,NULL),(6,2,14,1,1,NULL);
查询执行计划
EXPLAIN
SELECT c.id, COUNT(DISTINCT v1.id) AS upvotes, COUNT(DISTINCT v2.id) AS userUpvoted, COUNT(DISTINCT v3.id) AS downvotes, COUNT(DISTINCT v4.id) AS userDownvoted FROM talk_comments c
LEFT JOIN talk_comment_votes v1 ON v1.comment_id = c.id AND v1.status = 1
LEFT JOIN talk_comment_votes v2 ON v2.comment_id = c.id AND v2.status = 1 AND v2.user_id = 1 AND v2.is_anonymous = 0
LEFT JOIN talk_comment_votes v3 ON c.id = v3.comment_id AND v3.status = 2
LEFT JOIN talk_comment_votes v4 ON c.id = v4.comment_id AND v4.status = 2 AND v4.user_id = 1 AND v4.is_anonymous = 0
WHERE c.id = 2 GROUP BY c.id
;
EXPLAIN
SELECT c.id
, SUM(IF(v.status = 1 ,1,0)) AS upvotes
, SUM(IF(v.status = 1 AND v.user_id = 1 AND v.is_anonymous = 0 ,1,0)) AS userUpvoted
, SUM(IF(v.status = 2 ,1,0)) AS downvotes
, SUM(IF(v.status = 2 AND v.user_id = 1 AND v.is_anonymous = 0 ,1,0)) AS userDownvoted
FROM talk_comments c
LEFT
JOIN talk_comment_votes v
ON v.comment_id = c.id
WHERE c.id = 2
GROUP BY c.id
;
说明的输出
-- id select_type table type possible_keys key key_len ref rows Extra
-- ------ ----------- ------ ------ ---------------------- ---------------------- ------- ----------------------- ------ -------------
-- 1 SIMPLE c const PRIMARY PRIMARY 4 const 1 Using index
-- 1 SIMPLE v1 ref talk_comment_votes_IX1 talk_comment_votes_IX1 6 const,const 2 Using index
-- 1 SIMPLE v2 ref talk_comment_votes_IX1 talk_comment_votes_IX1 11 const,const,const,const 1 Using index
-- 1 SIMPLE v3 ref talk_comment_votes_IX1 talk_comment_votes_IX1 6 const,const 1 Using index
-- 1 SIMPLE v4 ref talk_comment_votes_IX1 talk_comment_votes_IX1 11 const,const,const,const 1 Using index
-- id select_type table type possible_keys key key_len ref rows Extra
-- ------ ----------- ------ ------ ---------------------- ---------------------- ------- ------ ------ -------------
-- 1 SIMPLE c const PRIMARY PRIMARY 4 const 1 Using index
-- 1 SIMPLE v ref talk_comment_votes_IX1 talk_comment_votes_IX1 4 const 3 Using index
测得的效果:
100 executions round 1 round 2 round 3
------------------------------------ ---------- ---------- ---------
multiple left join, count(distinct 0.123 secs 0.130 secs 0.125 secs
conditional aggregation sum(if 0.113 secs 0.114 secs 0.111 secs
答案 1 :(得分:0)
我对基于@ spencer7593和@RaymondNijland的2个答案的查询进行了基准测试。
左联接获胜!
SELECT c.id, COUNT(DISTINCT v1.id) as upvotes, COUNT(DISTINCT v2.id) as userUpvoted, COUNT(DISTINCT v3.id) as downvotes, COUNT(DISTINCT v4.id) as userDownvoted FROM talk_comments c
LEFT JOIN talk_comment_votes v1 ON v1.comment_id = c.id AND v1.status = 1
LEFT JOIN talk_comment_votes v2 ON v2.comment_id = c.id AND v2.status = 1 AND v2.user_id = 1 AND v2.is_anonymous = 0
LEFT JOIN talk_comment_votes v3 ON c.id = v3.comment_id AND v3.status = 2
LEFT JOIN talk_comment_votes v4 ON c.id = v4.comment_id AND v4.status = 2 AND v4.user_id = 1 AND v4.is_anonymous = 0
WHERE c.id = 2 GROUP BY c.id
1000次查询的时间: 0.55000805854797s
SELECT c.id,c.user_id, c.time,c.body, c.reply_to,
(SELECT COUNT(v1.id) FROM talk_comment_votes v1 WHERE v1.comment_id = c.id AND v1.status = 1 LIMIT 1) as upvotes,
(SELECT COUNT(v2.id) FROM talk_comment_votes v2 WHERE v2.comment_id = c.id AND v2.status = 1 AND v2.user_id = 1 LIMIT 1) as clientUpvoted,
(SELECT COUNT(v3.id) FROM talk_comment_votes v3 WHERE v3.comment_id = c.id AND v3.status = 2 LIMIT 1) as downvotes,
(SELECT COUNT(v4.id) FROM talk_comment_votes v4 WHERE v4.comment_id = c.id AND v4.status = 2 AND v4.user_id = 1 LIMIT 1) as clientDownvoted
FROM talk_comments c
WHERE c.id = 2 GROUP BY c.id
1000次查询时间: 0.95499300956726s
SELECT c.id
, SUM(IF(v.status = 1 ,1,0)) AS upvotes
, SUM(IF(v.status = 1 AND v.user_id = 1 AND v.is_anonymous = 0 ,1,0)) AS userUpvoted
, SUM(IF(v.status = 2 ,1,0)) AS downvotes
, SUM(IF(v.status = 2 AND v.user_id = 1 AND v.is_anonymous = 0 ,1,0)) AS userDownvoted
FROM talk_comments c
LEFT
JOIN talk_comment_votes v
ON v.comment_id = c.id
WHERE c.id = 2
GROUP BY c.id
1000次查询时间: 1.2266919612885s
谢谢所有答案。