总和分区时间日期范围

时间:2019-06-17 04:16:13

标签: postgresql cumulative-sum

我正在尝试在特定时间段内对Postgres中的每一行进行累计总和,例如:

|---------------------|------------------|------------------|
|      Date           |     Value        |     Employee     |
|---------------------|------------------|------------------|
|  25-01-1990         |         34       |      Aaron       |
|---------------------|------------------|------------------|
|  15-02-1990         |         4        |      Aaron       |
|---------------------|------------------|------------------|
|  02-03-1990         |         3        |      Aaron       |
|---------------------|------------------|------------------|
|  22-05-1990         |         7        |      Aaron       |
|---------------------|------------------|------------------|

预期结果,需要60天的时间:

|---------------------|------------------|------------------|
|      Date           |     Value        |    Employee      |
|---------------------|------------------|------------------|
|  25-01-1990         |         34       |      Aaron       |
|---------------------|------------------|------------------|
|  15-02-1990         |         38       |      Aaron       |
|---------------------|------------------|------------------|
|  02-03-1990         |         41       |      Aaron       |
|---------------------|------------------|------------------|
|  01-05-1990         |         10       |      Aaron       |
|---------------------|------------------|------------------|

我尝试了以下操作,但结果不正确:

WITH tab AS (SELECT * FROM table_with_values)
SELECT tab.Date, SUM(tab.Value) 
FILTER (WHERE tab.Date<=tab.Date AND tab.Date >=t.Date - INTERVAL '60 DAY')
OVER(PARTITION BY tab.Employee ORDER BY tab.Date ROWS BETWEEN UNBOUND PRECEDENT AND CURRENT ROW)
AS values_cumulative, tab.Employee
FROM tab

1 个答案:

答案 0 :(得分:1)

尝试一下:

SELECT date, employee, sum(bvalue)
FROM (
     SELECT a.*, b.date as bdate, b.value as bvalue
     FROM testtable a
     LEFT JOIN testtable b ON
               a.employee = b.employee AND
               b.date <= a.date AND
               b.date >= a.date - integer '60') c
GROUP BY employee, date
ORDER BY date ASC;


    date    | employee | sum
------------+----------+-----
 1990-01-25 | Aaron    |  34
 1990-02-15 | Aaron    |  38
 1990-03-02 | Aaron    |  41
 1990-05-01 | Aaron    |  10
(4 Zeilen)