我有一个如下所示的表,我想在其中使用开始和结束日期,将每行的值平均分配到每个季度的3个月,以及开始日期和结束日期之间的所有季度(最后两列(。
我熟悉Postgres中的生成序列和间隔,但我很难得到我想要的。
我的表有一个将行分组在一起的ID
列,一个指示行引用ID
的哪个季度的quarter
列,一列是整个季度(以及日期范围中的每个季度(的值的value
列,以及指示日期范围的start_date
和end_date
列。这是一个示例:
ID quarter value start_date end_date
1 2 152 2019-11-07 2050-12-30
1 1 785 2019-11-07 2050-12-30
2 2 152 2019-03-05 2050-12-30
2 1 785 2019-03-05 2050-12-30
3 4 41 2018-06-12 2050-12-30
3 3 50 2018-06-12 2050-12-30
3 2 88 2018-06-12 2050-12-30
3 1 29 2018-06-12 2050-12-30
4 2 1607 2018-12-17 2050-12-30
4 1 4803 2018-12-17 2050-12-30
这是我想要的输出(对于ID
1(:
ID quarter value start_date end_date
1 2 152/3 2020-04-01 2020-07-01
1 1 785/3 2020-01-01 2020-04-01
1 2 152/3 2021-04-01 2021-07-01
1 1 785/3 2021-01-01 2021-04-01
start_date
在输出中将是下一季度的第一张表。我需要从第一个表的start_date
到end_date
生成序列。
您可以使用GENERATE_SERIES
函数,为每个唯一的(按ID
(行传递开始和结束日期,并将间隔设置为3个月。然后将结果与ID
和quarter上的原始表连接起来。
这里有一个例子(注意original_data
就是我所说的第一个表(:
WITH
quarters_table AS (
SELECT
t.ID,
(EXTRACT('month' FROM t.quarter_date) - 1)::INT / 3 + 1 AS quarter,
t.quarter_date::DATE AS start_date,
COALESCE(
LEAD(t.quarter_date) OVER (),
DATE_TRUNC('quarter', t.original_end_date) + INTERVAL '3 months'
)::DATE AS end_date
FROM (
SELECT
original_record.ID,
original_record.end_date AS original_end_date,
GENERATE_SERIES(
DATE_TRUNC('quarter', original_record.start_date),
DATE_TRUNC('quarter', original_record.end_date),
INTERVAL '3 months'
) AS quarter_date
FROM (
SELECT DISTINCT ON (original_data.ID)
original_data.ID,
original_data.start_date,
original_data.end_date
FROM
original_data
ORDER BY
original_data.ID
) AS original_record
) AS t
)
SELECT
quarters_table.ID,
quarters_table.quarter,
original_data.value::DOUBLE PRECISION / 3 AS value,
quarters_table.start_date,
quarters_table.end_date
FROM
quarters_table
INNER JOIN
original_data
ON
quarters_table.ID = original_data.ID
AND quarters_table.quarter = original_data.quarter;
样本输出:
id | quarter | value | start_date | end_date
----+---------+------------------+------------+------------
1 | 1 | 261.666666666667 | 2020-01-01 | 2020-04-01
1 | 2 | 50.6666666666667 | 2020-04-01 | 2020-07-01
1 | 1 | 261.666666666667 | 2021-01-01 | 2021-04-01
1 | 2 | 50.6666666666667 | 2021-04-01 | 2021-07-01
为了完整起见,下面是我在测试中使用的original_data
表:
WITH
original_data AS (
SELECT
1 AS ID,
2 AS quarter,
152 AS value,
'2019-11-07'::DATE AS start_date,
'2050-12-30'::DATE AS end_date
UNION ALL
SELECT
1 AS ID,
1 AS quarter,
785 AS value,
'2019-11-07'::DATE AS start_date,
'2050-12-30'::DATE AS end_date
UNION ALL
SELECT
2 AS ID,
2 AS quarter,
152 AS value,
'2019-03-05'::DATE AS start_date,
'2050-12-30'::DATE AS end_date
-- ...
)
这是实现它的一种方法。根据您概述的输出显示一个示例。然后,您可以向CASE/WHEN
添加更多条件以获得更多季度。
SELECT
ID,
Quarter,
Value/3 AS "Value",
CASE
WHEN Quarter = 1 THEN '2020-01-01'
WHEN Quarter = 2 THEN '2020-04-01'
END AS "Start_Date",
CASE
WHEN Quarter = 1 THEN '2020-04-01'
WHEN Quarter = 2 THEN '2020-07-01'
END AS "End_Date"
FROM
Table