本来的SQL和查出的后果如下:
SELECT biz_day, record.amount FROM ods_sale_pay_record record WHERE project.delete_flag = 'N' AND ( record.biz_day >= '2021-10-01' AND record.biz_day <= '2021-10-31' OR record.biz_day >= '2022-01-01' AND record.biz_day <= '2022-01-31' )
后果:
现要求依照月份为维度汇总数据,能够应用DATE_FORMAT函数
批改后的SQL如下:
SELECT DATE_FORMAT(biz_day,'%Y%m') months, SUM( record.amount ) 'amount' FROM ods_sale_pay_record record WHERE record.status_code = 'PAY_RECORD_PAID' AND ( record.biz_day >= '2021-10-01' AND record.biz_day <= '2021-10-31' OR record.biz_day >= '2022-01-01' AND record.biz_day <= '2022-01-31' ) GROUP BY record.biz_day
后果如下:
拓展:
如果想要依照天、周、月等不同的粒度对数据进行分组统计也能够参考如下的语法:
1)按天统计:select DATE_FORMAT(biz_day,'%Y%m%d') days,SUM( record.amount ) 'amount' from test group by biz_day; 2)按周统计:select DATE_FORMAT(biz_day,'%Y%u') weeks,SUM( record.amount ) 'amount' from test group by biz_day; 3)按月统计:select DATE_FORMAT(biz_day,'%Y%m') months,SUM( record.amount ) 'amount' from test group by biz_day;