PostgreSQL实现按年、月、日、周、时、分、秒的分组统计

织梦狗教程数据库

2023-07-21

这篇文章介绍了PostgreSQL实现按年、月、日、周、时、分、秒分组统计的方法，文中通过示例代码介绍的非常详细。对大家的学习或工作具有一定的参考借鉴价值，需要的朋友可以参考下

按年查询

select to_char(date::DATE, 'YYYY') as year,sum(shares) as shares, sum(visits) as visits 
from database_table
where date >= '2019-01-01' and  date <= '2020-01-01'  group by year order by year

按月查询

select to_char(date::DATE, 'YYYY-MM') as month,sum(shares) as shares, sum(visits) as visits 
from database_table
where date >= '2019-01-01' and  date <= '2020-01-01'  group by month order by month

按周查询

select to_char(date::DATE-(extract(dow from date::TIMESTAMP)-1||'day')::interval, 'YYYY-mm-dd') week,
sum(shares) as shares, sum(visits) as visits 
from database_table 
where date >= '2019-01-01' and  date <= '2020-01-01' group by week order by week

按天查询

select to_char(date::DATE, 'YYYY-MM-DD') as day,sum(shares) as shares, sum(visits) as visits 
from database_table
where date >= '2019-01-01' and  date <= '2020-01-01'  group by day order by day

按小时查询

select to_char(date::DATE, 'YYYY-MM-DD  HH24') as hour,sum(shares) as shares, sum(visits) as visits 
from database_table
where date >= '2019-01-01' and  date <= '2020-01-01'  group by hour order by hour

按分钟查询

select to_char(date::DATE, 'YYYY-MM-DD  HH24:MI ') as minute,sum(shares) as shares, sum(visits) as visits 
from database_table
where date >= '2019-01-01' and  date <= '2020-01-01'  group by minute order by minute

按秒查询

select to_char(date::DATE, 'YYYY-MM-DD  HH24:MI:SS ') as second,sum(shares) as shares, sum(visits) as visits 
from database_table
where date >= '2019-01-01' and  date <= '2020-01-01'  group by second order by second