创建现在倒过去的12个月的视图 CREATE VIEW `past_12_month_view` AS SELECT DATE_FORMAT(CURDATE(), '%Y-%m') AS `month` UNION SELECT DATE_FORMAT((CURDATE() - INTERVAL 1 MONTH), '%Y-%m') AS `month` UNION SELECT DATE_FORMAT((CURDATE() - INTERVAL 2 MONTH), '%Y-%m') AS `m

知识关键词:DATE_FORMAT ps:如果时间字段为时间戳则,DATE_FORMAT(from_unixtime(create_time),'%Y-%u') select DATE_FORMAT(create_time,'%Y%m%d') as days,count(caseid) as count from table_name group by days; select DATE_FORMAT(create_time,'%Y%u') as weeks,count(caseid) as c

1.简单的,按月统计数量 SELECT CREATE_DATE, DATE_FORMAT(CREATE_DATE, '%Y-%m') AS month , COUNT(*) AS sum FROM pt_user GROUP BY month; 2.按月累加统计数据 SELECT a.month, SUM(b.total) AS total FROM ( SELECT DATE_FORMAT(CREATE_DATE, '%Y-%m') AS month, SUM(sum) AS total FR

select FROM_UNIXTIME(`createtime`, '%Y年%m月%d日')as retm,count(*) as num  from `user` GROUP BY retm select FROM_UNIXTIME(`pay_tm`, '%Y/%m/%d::')as retm,sum(price)+sum(express_price) as num from `order_orderlist` GROUP BY retm; select FROM_UNIXTIME(`pay

select IFNULL(sum(total_view),0) from 如果统计total_view这列为null ,则返回默认值0

参考:https://blog.csdn.net/u013201439/article/details/78116575 CREATE TABLE count_year SELECT YEAR(reqtime),COUNT(YEAR(reqtime)) FROM bjxj GROUP BY YEAR(reqtime)

group by DATE_FORMAT(createtime,'%Y-%m');//按月统计数据 group by DATE_FORMAT(createtime,'%Y-%m-%d');//按天统计数据 +---------------------------------+----------+ | DATE_FORMAT(createtime,'%Y-%m') | count(*) | +---------------------------------+----------+ | | |

From: http://www.jbxue.com/db/758.html 实现mysql按月统计的教程   mysql有个字段是DATETIME类型,要实现可以按月统计,该怎么写sql语句? select month(f1) from tt group by month(f1) or select DATE_FORMAT(f1,'%m') from tt group by DATE_FORMAT(f1,'%m') 比如数据库的为2008-01-15 12:10:00 则DATE_FORMAT

MySQL查询近一个月的数据 近一个月统计SQL select user_id, user_name, createtime from t_user where DATE_SUB(CURDATE(), INTERVAL 1 MONTH) <= date(createtime); 同理,近一个星期为: INTERVAL 7 DAY. @完

pg数据库按周,月统计数据 SELECT date_trunc('WEEK', insert_time) as insertDate, SUM(data_increment) as dataTotal,SUM(human_increment) as humanTotal from human_data_sum t where t.idtype=? GROUP BY insertDate ORDER BY insertDate DESC SELECT date_trunc('MONTH', ins

前言 pandas有着强大的日期数据处理功能,本期我们来了解下pandas处理日期数据的一些基本功能,主要包括以下三个方面: 按日期筛选数据 按日期显示数据 按日期统计数据 运行环境为 windows系统,64位,python3.5. 1 读取并整理数据 首先引入pandas库 import pandas as pd 从csv文件中读取数据 df = pd.read_csv('date.csv', header=None) print(df.head(2)) 0 1 0 2013-10-24 3

按周   select DATE_FORMAT(create_time,'%Y%u') weeks,count(caseid) count from tc_case group by weeks;   按月   select DATE_FORMAT(create_time,'%Y%m') months,count(caseid) count from tc_case group by months;    按天   select DATE_FORMAT(create_time,'%Y%m%d')

/*查询2小时前的数据*/select * from tableName WHERE create_time HOUR) SELECT count(id) FROM rd_track_info WHERE DATE(create_time) DAY); SELECT count(id) FROM rd_track_info WHERE DATE(create_time) DAY); SELECT count(id) FROM rd_track_info WHERE DATE(create_tim

知识关键词:DATE_FORMAT select DATE_FORMAT(create_time,'%Y%u') weeks,count(caseid) count from tc_case group by weeks; select DATE_FORMAT(create_time,'%Y%m%d') days,count(caseid) count from tc_case group by days; select DATE_FORMAT(create_time,'%Y%m') month

知识关键词:DATE_FORMAT 按天统计: SELECT DATE_FORMAT(create_time,'%Y%m%d') days, COUNT(caseid) count FROM tc_case GROUP BY days; 按周统计: SELECT DATE_FORMAT(start_time,'%Y%u') weeks, COUNT(product_no) count FROM test GROUP BY weeks; 按月统计: SELECT DATE_FORMAT(start

知识关键词:DATE_FORMAT select DATE_FORMAT(create_time,'%Y%u') weeks,count(caseid) count from tc_case group by weeks; select DATE_FORMAT(create_time,'%Y%m%d') days,count(caseid) count from tc_case group by days; select DATE_FORMAT(create_time,'%Y%m') month

知识关键词:DATE_FORMAT select DATE_FORMAT(create_time,'%Y%u') weeks,count(caseid) count from tc_case group by weeks; select DATE_FORMAT(create_time,'%Y%m%d') days,count(caseid) count from tc_case group by days; select DATE_FORMAT(create_time,'%Y%m') month

知识关键词:DATE_FORMAT  select DATE_FORMAT(create_time,'%Y%u') weeks,count(caseid) count from tc_case group by weeks;   select DATE_FORMAT(create_time,'%Y%m%d') days,count(caseid) count from tc_case group by days;   select DATE_FORMAT(create_time,'%Y%m')

-- 计算每年订单的总价格 select date_format(t.order_time,'%Y') years,sum(t.order_amount) '总价格' from lf_order t group by years; -- 计算每季度订单的总价格 select quarter(t.order_time) '季度',sum(t.order_amount) '总价格' from lf_order t group by quarter(t.order_time); -- 计算每月订单的总

create_time时间戳格式 SELECT FROM_UNIXTIME(create_time,'%Y%u') weeks,COUNT(id) COUNT FROM role GROUP BY weeks;         SELECT FROM_UNIXTIME(create_time,'%Y%m%d') days,COUNT(id) COUNT FROM role GROUP BY days;         SELECT FROM_UNIXTIME(create_time,'%Y%m'

一.mysql按日统计 ) count ' and start_time > '2017-06-28' group by days; 二.mysql按周统计 ) ' group by weeks; 三.mysql按月统计 ) ' group by months; 四.方便的场景 这对于数据量不大的表非常有效. 如:按月统计某员工的迟到情况啦等等. 五.大量的数据 例如每天产生20W数据,执行这个按天统计一年是很夸张的事情. 我能想到的办法就是: [分时统计] 1. 历史数据是不变的 2. 指定时