如何按日期汇总数据组？

Question

我有这样的查询：

SELECT id, site, clicks, approved, year, month, day
FROM df

id 和点击是整数； 站点，年，月，日是字符串；并且 approved 是布尔值。

现在，我想查看每个月/每年的点击次数。为此，我想通过将年份和月份分组来汇总点击次数。

该怎么做？

Answer 1

尝试使用GROUP BY：

SELECT year, month, SUM(clicks) AS total
FROM df
GROUP BY year, month;

旁注：我不知道表名df是数据帧的缩写，还是在这里使用R或Python。但是，在纯SQL中，希望仅维护一个日期列，而不是将年，月和日存储为单独的组件。

Answer 2

也许concat（）函数就是重点。

select x.*
into #df
from
(
SELECT 1 as id, 'a' as site, 23 as clicks, 1 as approved, '2020' as year, '1' as    month, '1' as day
UNION ALL
SELECT 2 as id, 'a' as site, 1 as clicks, 1 as approved, '2020' as year, '1' as month,     '1' as day
UNION ALL
SELECT 3 as id, 'a' as site, 3 as clicks, 1 as approved, '2020' as year, '3' as month,     '1' as day
UNION ALL
SELECT 4 as id, 'a' as site, 11 as clicks, 1 as approved, '2020' as year, '4' as     month, '1' as day
UNION ALL
SELECT 5 as id, 'a' as site, 345 as clicks, 1 as approved, '2020' as year, '5' as     month, '1' as day
UNION ALL
SELECT 6 as id, 'a' as site, 88 as clicks, 1 as approved, '2020' as year, '6' as     month, '1' as day
UNION ALL
SELECT 7 as id, 'a' as site, 1 as clicks, 1 as approved, '2020' as year, '12' as     month, '1' as day
) x;

select 
    concat(year, '_', month) yyyy_mm
    , sum(clicks) clicks_total
from #df
group by 
    concat(year, '_', month)