mysql按天,小时,半小时,N分钟,分钟进行数据分组统计

mysql不同时间粒度下的分组统计

我们在做项目或者数据分析时,经常遇到这样的需求:统计不同时间粒度下的数据分布情况,例如,每一天中每个小时网站的访问量,某路口每半个小时通过的车辆数量等。对于此类的问题,一个sql简单的查询就能实现,故特此记录下,方便以后使用。
在MySQL中,我的表为:track
数据结构如下所示:

表track的数据结构示意

按天统计

SELECT DATE(TimeStart) AS date, COUNT(*) AS num
FROM track
WHERE Flag = 0 AND Duration >= 300 
GROUP BY date
ORDER BY date;

按小时统计

SELECT DATE_FORMAT(TimeStart, '%Y-%m-%d %H:00:00') AS time, COUNT(*) AS num
FROM track
WHERE Flag = 0 AND Duration >= 300
GROUP BY time
ORDER BY time;

按半小时统计

SELECT time, COUNT( * ) AS num 
FROM
	(
	SELECT Duration,
		DATE_FORMAT(
			concat( date( TimeStart ), ' ', HOUR ( TimeStart ), ':', floor( MINUTE ( TimeStart ) / 30 ) * 30 ),
			'%Y-%m-%d %H:%i' 
		) AS time 
	FROM tarck
	WHERE Flag = 0  AND Duration >= 300 
	) a 
GROUP BY DATE_FORMAT( time, '%Y-%m-%d %H:%i' ) 
ORDER BY time;

按N分钟统计

将上面的SQL语句稍微修改下,就可以实现按任意N分钟为时间片的分组统计,如按10分钟统计,先上代码:

SELECT time, COUNT( * ) AS num 
FROM
	(
	SELECT Duration,
		DATE_FORMAT(
			concat( date( TimeStart ), ' ', HOUR ( TimeStart ), ':', floor( MINUTE ( TimeStart ) / 10 ) * 10 ),
			'%Y-%m-%d %H:%i' 
		) AS time 
	FROM tarck
	WHERE Flag = 0  AND Duration >= 300 
	) a 
GROUP BY DATE_FORMAT( time, '%Y-%m-%d %H:%i' ) 
ORDER BY time;

基本思路:
将datetime类型的时间转化为相应时间片的时间,例如将‘2017-03-01 01:08:19’ 转化为‘2017-03-01 01:00:00’,然后group by即可。

按分钟统计

将按小时统计的SQL语句稍微修改下,就可以实现按分钟统计

SELECT DATE_FORMAT(TimeStart, '%Y-%m-%d %H:%i:00') AS time, COUNT(*) AS num
FROM track 
WHERE Flag = 0 AND Duration >= 300
GROUP BY time
ORDER BY time;

DATE_FORMAT功能强大,可以根据format字符串格式化date值,参考下面链接
MySQL DATE_FORMAT() 函数

原文链接:https://blog.csdn.net/u010946448/article/details/83752984

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