select gmm.mine name mine,sum(number) sum from ( select gdi.mine,MAX(cumulative flow) as number from gs device history 2023 gdh3left join gs device info gdi on gdi.device num = gdh3.device numwhere gdh3.collect time BETWEEN '2023-05-25 23:45:00' AND "2023-05-26 00:00:00' and gdi.state = 1 and gdi.audit = 1group by gdi.device num) aleft join gs mine manage gmm on gmm.mine id = a.mine 0 group by a.mine优化这条sql

首先，这条 SQL 语句存在一些语法错误，可能需要进行修正。以下是修正后的 SQL 语句：

SELECT gmm.mine_name AS mine, SUM(number) AS sum 
FROM (
    SELECT gdi.mine, MAX(cumulative_flow) AS number 
    FROM gs_device_history_2023 gdh3 
    LEFT JOIN gs_device_info gdi ON gdi.device_num = gdh3.device_num 
    WHERE gdh3.collect_time BETWEEN '2023-05-25 23:45:00' AND '2023-05-26 00:00:00' 
        AND gdi.state = 1 AND gdi.audit = 1 
    GROUP BY gdi.device_num
) a 
LEFT JOIN gs_mine_manage gmm ON gmm.mine_id = a.mine 
GROUP BY a.mine

接下来，可以考虑对该 SQL 语句进行优化，以下是一些可能的优化方法：

1. 索引优化：对 `gs_device_history_2023` 表的 `collect_time` 字段、`gs_device_info` 表的 `device_num` 字段、`gs_mine_manage` 表的 `mine_id` 字段建立索引，可以加快查询速度。
2. 子查询优化：将子查询转为临时表，可以避免重复计算。
3. JOIN 优化：使用 INNER JOIN 替代 LEFT JOIN，可以减少 JOIN 表格的大小，加快查询速度。

具体的优化方法需要根据实际情况进行调整。