标签：-% 00 pay MySQL year 按天 semester time 统计

以下为您演示MySQL常用的日期分组统计方法：

按月统计（一）

SELECT
	date_format( r.pay_time, '%Y-%m' ) pay_time,
	r.pay_time,
	SUM( r.actual_payment ) AS actual_payment,
	r.org_id,
	r.semester_year,
	r.season,
	count( * ) coun 
FROM
	scd_cost_charge_regester r 
WHERE
	r.`status` = '1' 
	AND r.semester_year = '2019' 
	AND r.season = '1' 
	AND r.pay_time > '2020-01-13 00:00:00' 
	AND r.pay_time < '2020-03-22 00:00:00' 
	AND r.org_id IN ( 299983449711776, 253959347479904 ) 
GROUP BY
	date_format( r.pay_time, '%Y-%m' );

按天统计（二）

SELECT
	date_format( r.pay_time, '%Y-%m-%d' ) pay_time,
	r.pay_time,
	SUM( r.actual_payment ) AS actual_payment,
	r.org_id,
	r.semester_year,
	r.season,
	count( * ) coun 
FROM
	scd_cost_charge_regester r 
WHERE
	r.`status` = '1' 
	AND r.semester_year = '2019' 
	AND r.season = '1' 
	AND r.pay_time > '2020-01-13 00:00:00' 
	AND r.pay_time < '2020-03-22 00:00:00' 
	AND r.org_id IN ( 299983449711776, 253959347479904 ) 
GROUP BY
	date_format( r.pay_time, '%Y-%m-%d' );		 

按天统计（三）毫秒

SELECT
	date_format( r.pay_time / 1000, '%Y-%m-%d' ) pay_time,
	r.pay_time,
	SUM( r.actual_payment ) AS actual_payment,
	r.org_id,
	r.semester_year,
	r.season,
	count( * ) coun 
FROM
	scd_cost_charge_regester r 
WHERE
	r.`status` = '1' 
	AND r.semester_year = '2019' 
	AND r.season = '1' 
	AND r.pay_time > '2020-01-13 00:00:00' 
	AND r.pay_time < '2020-03-22 00:00:00' 
	AND r.org_id IN ( 299983449711776, 253959347479904 ) 
GROUP BY
	date_format( r.pay_time / 1000, '%Y-%m-%d' );

其他格式转换

SELECT
	date_format( r.pay_time, '%Y-%m-%d %H:%i:%S' ) pay_time,
	r.pay_time,
	SUM( r.actual_payment ) AS actual_payment,
	r.org_id,
	r.semester_year,
	r.season,
	count( * ) coun 
FROM
	scd_cost_charge_regester r 
WHERE
	r.`status` = '1' 
	AND r.semester_year = '2019' 
	AND r.season = '1' 
	AND r.pay_time > '2020-01-13 00:00:00' 
	AND r.pay_time < '2020-03-22 00:00:00' 
	AND r.org_id IN ( 299983449711776, 253959347479904 ) 
GROUP BY
	date_format( r.pay_time, '%Y-%m-%d %H:%i:%S' );

标签：-%,00,pay,MySQL,year,按天,semester,time,统计
来源： https://www.cnblogs.com/yuangyuan/p/16449831.html

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