以下sql语句可提供应有的功能。在定义的时间范围内的最小值。
select value, datetime from Schuppen
where (value = (select min(value) from Schuppen
where (measure = 'temp')
and datetime between '2018-11-01 00:00:00' and '2018-11-02 00:00:00'))
and datetime between '2018-11-01 00:00:00' and '2018-11-02 00:00:00';
当我使用变量而不是硬编码日期时,该语句将挂起。
set @startdate = cast('2018-11-01 00:00:00' as datetime);
select value, datetime from Schuppen
where (value = (select min(value) from Schuppen
where (measure = 'temp')
and datetime between @startdate and '2018-11-02 00:00:00'))
and datetime between '2018-11-01 00:00:00' and '2018-11-02 00:00:00';
我想知道为什么该声明不适用于我的maria db版本10.1.26-MariaDB-0 + deb9u1。
通过mysql控制台尝试。
mysql --user=XXXX --password=XXXX Outdoor-Air
...
Your MariaDB connection id is 194
Server version: 10.1.26-MariaDB-0+deb9u1 Debian 9.1
...
MariaDB [Outdoor-Air]> set @startdate = cast('2018-11-01 00:00:00' as datetime);
Query OK, 0 rows affected (0.00 sec)
MariaDB [Outdoor-Air]> select @startdate;
+---------------------+
| @startdate |
+---------------------+
| 2018-11-01 00:00:00 |
+---------------------+
1 row in set (0.01 sec)
MariaDB [Outdoor-Air]> select value, datetime from Schuppen where (value = (select min(value) from Schuppen where (measure = 'temp') and datetime between @startdate and '2018-11-02 00:00:00')) and datetime between '2018-11-01 00:00:00' and '2018-11-02 00:00:00';
现在语句挂起。
答案 0 :(得分:1)
SELECT `value`, `datetime`
FROM Schuppen
WHERE measure = 'temp'
AND `datetime` >= '2018-11-01'
AND `datetime` < '2018-11-01' + INTERVAL 1 DAY
ORDER BY `value` ASC
LIMIT 1;
这应该会帮助:
INDEX(measure, datetime, value)
此公式与您的公式之间可能存在的差异:如果最低值在当天发生多次,则只会显示一行。
答案 1 :(得分:0)
确保两个查询 viz。,SET
和SELECT
语句都在同一会话中运行。 @startdate
仅在单个会话中持续存在。
您还可以使用CROSS JOIN
和派生表将这两个查询转换为单个查询。
SELECT value,
`datetime`
FROM Schuppen
CROSS JOIN (SELECT @startdate := cast('2018-11-01 00:00:00' as datetime)) vars
WHERE ( value = (SELECT Min(value)
FROM Schuppen
WHERE ( measure = 'temp' )
AND `datetime` BETWEEN
@startdate AND '2018-11-02 00:00:00') )
AND `datetime` BETWEEN '2018-11-01 00:00:00' AND '2018-11-02 00:00:00';