我希望按时间戳的小时对从MYSQL数据库中提取的结果进行分组。时间戳以2012-12-14 03:19:09
格式存储在表中。我使用查询
SELECT
HOUR(`timestamp`) AS `hour`,
AVG(`somevalue`) AS `average`
FROM ...
GROUP BY
HOUR(`timestamp`),
DAY(`timestamp`),
MONTH(`timestamp`),
WEEK(`timestamp`),
YEAR(`timestamp`)
ORDER BY ...
LIMIT 0, 24;
这样可行,并返回正确的行和值......
+------+-------+
| hour | value |
+------+-------+
| 13 | 21.16 |
| 12 | 21.11 |
| 11 | 20.88 |
| 10 | 20.93 |
| 9 | 20.87 |
| 8 | 20.89 |
| ... | ... |
+------+-------+
...但非常慢(表包含~90k行)。我given the advice不是按每个日期实体分组,而是按UNIX_TIMESTAMP(`timestamp`)/3600
分组。遗憾的是,这并没有产生预期的结果,结果看起来像这样
+------+-------+
| hour | value |
+------+-------+
| 13 | 21.20 |
| 13 | 21.20 |
| 13 | 21.20 |
| 13 | 21.20 |
| 13 | 21.20 |
| ... | ... |
+------+-------+
有没有办法只通过一个组子句对它们进行分组(这会使它更快),但是会返回正确的结果吗?
答案 0 :(得分:1)
而不是按日期和小时使用分组
SELECT
HOUR(`timestamp`) AS `hour`,
AVG(`somevalue`) AS `average`
FROM ...
GROUP BY
DATE(`timestamp`),
HOUR(`timestamp`),
ORDER BY ...
LIMIT 0, 24;
答案 1 :(得分:0)
GROUP BY DATE_FORMAT(timestamp,'%Y%m%d%H')
。请注意,我自己并没有真正尝试过。