JOIN 查询花费很长时间并产生问题“将 HEAP 转换为 MyISAM

Question

我的查询如下。这里我使用连接查询来获取数据。你能建议我如何解决 "converting HEAP to MyISAM" 问题吗？

我可以在这里使用子查询来更新它吗？请建议我该怎么做。

这里我加入了用户table来检查用户是否存在。我可以在不加入的情况下对其进行优化，以便 "converting HEAP to MyISAM" 可以解决吗？

哦，有时候我不会检查具体user_id。就像这里我添加了 user_id = 16082

SELECT `user_point_logs`.`id`, 
   `user_point_logs`.`user_id`, 
   `user_point_logs`.`point_get_id`, 
   `user_point_logs`.`point`, 
   `user_point_logs`.`expire_date`, 
   `user_point_logs`.`point`  AS `sum_point`, 

   IF(sum(`user_point_used_logs`.`point`) IS NULL, 0, sum(`user_point_used_logs`.`point`)) AS `minus` 

   FROM   `user_point_logs` 

     JOIN `users` ON ( `users`.`id` = `user_point_logs`.`user_id` ) 

     LEFT JOIN (SELECT * 
              FROM   user_point_used_logs 
              WHERE  user_point_log_id NOT IN (
                                                     SELECT DISTINCT return_id 
                                               FROM   user_point_logs 
                                               WHERE  return_id IS NOT NULL 
                                                      AND user_id = 16082
                                                              )
                  ) 
    AS user_point_used_logs
      ON ( `user_point_logs`.`id` = `user_point_used_logs`.`user_point_log_used_id` ) 

    WHERE  expire_date >= 1563980400 

   AND `user_point_logs`.`point` >= 0 

   AND `users`.`id` IS NOT NULL 

   AND ( `user_point_logs`.`return_id` = 0 
          OR `user_point_logs`.`return_id` IS NULL ) 

   AND `user_point_logs`.`user_id` = '16082' 

   GROUP  BY `user_point_logs`.`id` 
   ORDER  BY `user_point_logs`.`expire_date` ASC

DB FIDDLE HERE WITH STRUCTURE

Answer 1

请试试这个，如果有效...将通过添加复合索引进一步优化。

SELECT 
    upl.id,
    upl.user_id,
    upl.point_get_id,
    upl.point,
    upl.expire_date,
    upl.point AS sum_point,
    coalesce(SUM(upl.point),0) AS minus -- changed from complex to readable
FROM user_point_logs upl
JOIN users u ON upl.user_id = u.id
LEFT JOIN (select supul.user_point_log_used_id from user_point_used_logs supul
left join user_point_logs supl on supul.user_point_log_id=supl.return_id and supl.return_id is null and supl.user_id = 16082) AS upul 
ON upl.id=upul.user_point_log_used_id

WHERE
upl.user_id = 16082 and coalesce(upl.return_id,0)= 0 
and upl.expire_date >= 1563980400 -- tip: if its unix timestamp change the datatype and if possible use range between dates
        #AND upl.point >= 0 -- since its NN by default removing this condition
        #AND u.id IS NOT NULL -- removed since the inner join matches not null
GROUP BY upl.id
ORDER BY upl.expire_date ASC;

编辑：

尝试在 table user_point_logs 的 return_id 列中添加索引。由于此列用于连接派生查询。或者使用 user_id and return_id

的复合索引

Answer 2

索引：

user_point_logs:  (user_id, expire_date)
user_point_logs:  (user_id, return_id)

OR 很难优化。决定只用一种方式来表达这里所说的一切，然后去掉 OR:

   AND (     `user_point_logs`.`return_id` = 0 
          OR `user_point_logs`.`return_id` IS NULL )

DISTINCT是多余的：

NOT IN ( SELECT DISTINCT ... )

改变

IF(sum(`user_point_used_logs`.`point`) IS NULL, 0,
   sum(`user_point_used_logs`.`point`)) AS `minus`

至

COALESCE( ( SELECT SUM(point) FROM   user_point_used_logs ... ), 0)  AS minus

并投掷 LEFT JOIN (SELECT * FROM user_point_used_logs ... )

因为 PRIMARY KEY 是一个键，第二个是多余的，可以是 DROPped:

ADD PRIMARY KEY (`id`),
ADD KEY `id` (`id`) USING BTREE;

毕竟，我们可能需要另一遍来进一步简化和优化它。

JOIN 查询花费很长时间并产生问题“将 HEAP 转换为 MyISAM

JOIN query taking long time and creating issue "converting HEAP to MyISAM

mysql

join

subquery

myisam