我正在尝试编写一个脚本,该脚本返回月份列表,其中包含该月份的天数。它引用了这个表
CREATE TABLE generic.time_series_only (measurementdatetime TIMESTAMP WITHOUT TIME ZONE NOT NULL)
这只是一个按时间顺序排列的时间序列(在连接不同地方的数据表时很有用,但是你想要一个完整的时间序列作为你的输出,也许有更聪明的方法来做到这一点但我没有&# 39; t发现它。)
SELECT date_part('year'::text, time_series_only.measurementdatetime) AS
measyear,
date_part('month'::text, time_series_only.measurementdatetime) AS
measmonth,
date_trunc('month'::text, time_series_only.measurementdatetime) +
'1 mon'::interval - date_trunc('month'::text,
time_series_only.measurementdatetime) AS days_in_month
FROM generic.time_series_only
GROUP BY date_part('year'::text, time_series_only.measurementdatetime),
date_part('month'::text, time_series_only.measurementdatetime)
ORDER BY date_part('year'::text, time_series_only.measurementdatetime),
date_part('month'::text, time_series_only.measurementdatetime);
但是我收到了这个错误:
ERROR: column "time_series_only.measurementdatetime" must appear in the GROUP BY clause or be used in an aggregate function
我无法将此列放在GROUP BY子句中,因为我会在time_series_only表中获得每个条目的结果,而我无法找到获得相同内容的方法结果使用聚合函数?任何建议都非常欢迎: - )
答案 0 :(得分:2)
你没有使用generate_series?..就像这里:
vao=# with pre as (select generate_series('2016-01-01','2017-03-31','1 day'::interval) g) select distinct
extract('year' from g), extract('month' from g), count(1) over (partition by date_trunc('month',g)) from pre order by 1,2;
date_part | date_part | count
-----------+-----------+-------
2016 | 1 | 31
2016 | 2 | 29
2016 | 3 | 31
2016 | 4 | 30
2016 | 5 | 31
2016 | 6 | 30
2016 | 7 | 31
2016 | 8 | 31
2016 | 9 | 30
2016 | 10 | 31
2016 | 11 | 30
2016 | 12 | 31
2017 | 1 | 31
2017 | 2 | 28
2017 | 3 | 31
(15 rows)
答案 1 :(得分:1)
使用distinct on
一对(年,月)。您可以使用函数time_series_only
替换generate_series()
表,例如:
select distinct on (date_part('year', d), date_part('month', d))
date_part('year', d) as year,
date_part('month', d) as month,
date_part('day', d) as days_in_month
from
generate_series('2016-01-01'::date, '2016-12-31'::date, '1d'::interval) d
order by 1, 2, 3 desc;
year | month | days_in_month
------+-------+---------------
2016 | 1 | 31
2016 | 2 | 29
2016 | 3 | 31
2016 | 4 | 30
2016 | 5 | 31
2016 | 6 | 30
2016 | 7 | 31
2016 | 8 | 31
2016 | 9 | 30
2016 | 10 | 31
2016 | 11 | 30
2016 | 12 | 31
(12 rows)
答案 2 :(得分:1)
这个性能更好,因为它只生成每个月的最后一天,因此不需要聚合:
select
date_part('year', d) as year,
date_part('month', d) as month,
date_part('day', d) as days_in_month
from
generate_series('2016-01-01'::date, '2016-12-01', '1 month') gs(gsd)
cross join lateral
(select gsd + interval '1 month - 1 day') d(d)
order by 1, 2;
year | month | days_in_month
------+-------+---------------
2016 | 1 | 31
2016 | 2 | 29
2016 | 3 | 31
2016 | 4 | 30
2016 | 5 | 31
2016 | 6 | 30
2016 | 7 | 31
2016 | 8 | 31
2016 | 9 | 30
2016 | 10 | 31
2016 | 11 | 30
2016 | 12 | 31
答案 3 :(得分:0)
另一种变体,使用CTE具有更好的可读性,恕我直言(此示例在current_date的日历月之后生成月份和下三个完整月份的数据)
WITH series AS (
SELECT generate_series (
date_trunc ('month', date_trunc('day', now()) + interval '1 month'),
date_trunc('day', now() + interval '4 months'), '1d'::interval
) AS day ) SELECT DISTINCT ON (date_part('year', series.day), date_part('month', series.day))
date_part('year', series.day) as year,
date_part('month', series.day) as month,
date_part('day', series.day) as days_in_month
FROM series
ORDER BY 1, 2, 3 desc LIMIT 3;
year | month | days_in_month
------+-------+---------------
2021 | 1 | 31
2021 | 2 | 28
2021 | 3 | 31