我有一个具有以下结构的表格:
SELECT * FROM logs WHERE data = "Map load"
ORDER BY timestamp DESC LIMIT 5
user_id timestamp data
3 2017-03-29 18:11:25 Map load
2 2017-03-29 18:10:11 Map load
5 2017-03-29 18:02:07 Map load
5 2017-03-29 17:48:03 Map load
3 2017-03-29 17:38:48 Map load
我希望按 15 分钟间隔对行进行分组,我已经做到了。 但是,我还需要按 user_id 分割这些数据。
按间隔分组:
SELECT FROM_UNIXTIME(FLOOR(UNIX_TIMESTAMP(timestamp)/900)*900) AS `Time`,
COUNT(*) AS `Map Load` FROM logs
WHERE data = "Map load"
GROUP BY `Time` ORDER BY `Time` DESC LIMIT 3
Time Map Load
2017-03-29 18:00:00 3
2017-03-29 17:45:00 1
2017-03-29 17:30:00 1
所需的结果布局:
Time user_id=3 user_id=2 user_id=5
2017-03-29 18:00:00 1 1 1
2017-03-29 17:45:00 0 0 1
2017-03-29 17:30:00 1 0 0
我还有其他 60 个用户,因此除了在 15 分钟间隔时间戳上为每个 user_id 连接该表的副本之外,还有其他方法可以做到这一点吗?
最佳答案
您可以为此使用条件聚合:
select FROM_UNIXTIME(FLOOR(UNIX_TIMESTAMP(timestamp) / 900) * 900) as time,
sum(user_id = 3) as User_id_3,
sum(user_id = 2) as User_id_2,
sum(user_id = 5) as User_id_5
from logs
where data = "Map load"
group by time
order by time desc LIMIT 3
如果您有更多的用户,最好不要在 SQL 中透视值,而是在应用程序代码中进行:
select FROM_UNIXTIME(FLOOR(UNIX_TIMESTAMP(timestamp) / 900) * 900) as time,
user_id,
count(*) as cnt
from logs l
join (
select FROM_UNIXTIME(FLOOR(UNIX_TIMESTAMP(timestamp) / 900) * 900) as time
from logs
group by time
order by time desc limit 3
) t on FROM_UNIXTIME(FLOOR(UNIX_TIMESTAMP(timestamp) / 900) * 900) = t.time
where data = 'Map load'
group by time,
user_id
order by time desc;
关于mysql - 如何在 MYSQL 中按列值分隔这些分组数据?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/43100411/