如何＆＃34;重置＆＃34;达到阈值后运行SUM？

时间：2016-03-04 15:04:31

标签： sql postgresql window-functions

我写了一个查询，在当天创建了两列：the_day和amount_raised。这就是我所拥有的：

enter image description here

我想添加一个运行总和为amount_raised：

的列

enter image description here

最终，我希望sum列在达到100万后重置。

递归方法高于我的工资等级，所以如果有人知道重置总和的方法而不创建一个全新的表，请评论（可能有一个RESET函数？）。谢谢

2 个答案:

答案 0 :(得分：2)

我要感谢Juan Carlos Oropeza为脚本和SQLFiddle提供测试数据。乔治，你应该这样做。

查询本身很简单。

首先计算一个简单的运行总和（CTE_RunningSum）并将其除以1,000,000以获得整数百万的数量。

然后通过分割数百万来再次计算运行总和。

SQL Fiddle

我在最终结果中添加了RunningSum和Millions列，以说明查询的工作原理。

WITH
CTE_RunningSum
AS
(
  SELECT 
    ID
    ,day_t
    ,collect
    ,SUM(collect) OVER(ORDER BY day_t, id) AS RunningSum
    ,(SUM(collect) OVER(ORDER BY day_t, id)) / 1000000 AS Millions
  FROM myTable
)
SELECT
  ID
  ,day_t
  ,collect
  ,RunningSum
  ,Millions
  ,SUM(collect) OVER(PARTITION BY Millions ORDER BY day_t, id) AS Result
FROM CTE_RunningSum
ORDER BY day_t, id;

<强>结果 

|  id |                       day_t | collect | runningsum | millions |  result |
|-----|-----------------------------|---------|------------|----------|---------|
|  90 |     March, 11 2015 00:00:00 |   69880 |      69880 |        0 |   69880 |
|  13 |     March, 25 2015 00:00:00 |   69484 |     139364 |        0 |  139364 |
|  49 |     March, 27 2015 00:00:00 |   57412 |     196776 |        0 |  196776 |
|  41 |     March, 30 2015 00:00:00 |   56404 |     253180 |        0 |  253180 |
|  99 |     April, 03 2015 00:00:00 |   59426 |     312606 |        0 |  312606 |
|   1 |     April, 10 2015 00:00:00 |   65825 |     378431 |        0 |  378431 |
| 100 |     April, 27 2015 00:00:00 |   60884 |     439315 |        0 |  439315 |
|  50 |       May, 11 2015 00:00:00 |   39641 |     478956 |        0 |  478956 |
|  58 |       May, 11 2015 00:00:00 |   49759 |     528715 |        0 |  528715 |
|  51 |       May, 17 2015 00:00:00 |   32895 |     561610 |        0 |  561610 |
|  15 |       May, 19 2015 00:00:00 |   50847 |     612457 |        0 |  612457 |
|  66 |       May, 29 2015 00:00:00 |   66332 |     678789 |        0 |  678789 |
|   4 |      June, 04 2015 00:00:00 |   46891 |     725680 |        0 |  725680 |
|  38 |      June, 09 2015 00:00:00 |   64732 |     790412 |        0 |  790412 |
|  79 |      June, 14 2015 00:00:00 |   62843 |     853255 |        0 |  853255 |
|  37 |      June, 28 2015 00:00:00 |   54315 |     907570 |        0 |  907570 |
|  59 |      June, 30 2015 00:00:00 |   34885 |     942455 |        0 |  942455 |
|  71 |      July, 08 2015 00:00:00 |   46440 |     988895 |        0 |  988895 |
|  31 |      July, 10 2015 00:00:00 |   39649 |    1028544 |        1 |   39649 |
|  91 |      July, 12 2015 00:00:00 |   65048 |    1093592 |        1 |  104697 |
|  57 |      July, 14 2015 00:00:00 |   60394 |    1153986 |        1 |  165091 |
|  98 |      July, 20 2015 00:00:00 |   34481 |    1188467 |        1 |  199572 |
|   3 |      July, 26 2015 00:00:00 |   58672 |    1247139 |        1 |  258244 |
|  95 |    August, 19 2015 00:00:00 |   52393 |    1299532 |        1 |  310637 |
|  74 |    August, 20 2015 00:00:00 |   37972 |    1337504 |        1 |  348609 |
|  20 |    August, 27 2015 00:00:00 |   36882 |    1374386 |        1 |  385491 |
|   2 | September, 07 2015 00:00:00 |   39408 |    1413794 |        1 |  424899 |
|  14 | September, 09 2015 00:00:00 |   40234 |    1454028 |        1 |  465133 |
|   6 | September, 17 2015 00:00:00 |   65957 |    1519985 |        1 |  531090 |
|  93 | September, 29 2015 00:00:00 |   47213 |    1567198 |        1 |  578303 |
|  35 | September, 30 2015 00:00:00 |   49446 |    1616644 |        1 |  627749 |
|  86 |   October, 11 2015 00:00:00 |   34291 |    1650935 |        1 |  662040 |
|  75 |   October, 12 2015 00:00:00 |   31448 |    1682383 |        1 |  693488 |
|  19 |   October, 14 2015 00:00:00 |   48509 |    1730892 |        1 |  741997 |
|  56 |   October, 26 2015 00:00:00 |   30072 |    1760964 |        1 |  772069 |
|  48 |   October, 28 2015 00:00:00 |   58527 |    1819491 |        1 |  830596 |
|  40 |  November, 05 2015 00:00:00 |   67293 |    1886784 |        1 |  897889 |
|  33 |  November, 09 2015 00:00:00 |   41944 |    1928728 |        1 |  939833 |
|  34 |  November, 11 2015 00:00:00 |   35516 |    1964244 |        1 |  975349 |
|  85 |  November, 20 2015 00:00:00 |   43920 |    2008164 |        2 |   43920 |
|  18 |  November, 23 2015 00:00:00 |   44925 |    2053089 |        2 |   88845 |
|  62 |  December, 24 2015 00:00:00 |   34678 |    2087767 |        2 |  123523 |
|  67 |  December, 25 2015 00:00:00 |   35323 |    2123090 |        2 |  158846 |
|  81 |  December, 28 2015 00:00:00 |   37071 |    2160161 |        2 |  195917 |
|  54 |   January, 02 2016 00:00:00 |   32330 |    2192491 |        2 |  228247 |
|  70 |   January, 06 2016 00:00:00 |   47875 |    2240366 |        2 |  276122 |
|  28 |   January, 23 2016 00:00:00 |   40250 |    2280616 |        2 |  316372 |
|  65 |   January, 25 2016 00:00:00 |   49404 |    2330020 |        2 |  365776 |
|  73 |   January, 26 2016 00:00:00 |   65879 |    2395899 |        2 |  431655 |
|   5 |  February, 05 2016 00:00:00 |   53953 |    2449852 |        2 |  485608 |
|  32 |  February, 11 2016 00:00:00 |   44988 |    2494840 |        2 |  530596 |
|  53 |  February, 25 2016 00:00:00 |   68948 |    2563788 |        2 |  599544 |
|  83 |     March, 11 2016 00:00:00 |   47244 |    2611032 |        2 |  646788 |
|   8 |     March, 25 2016 00:00:00 |   51809 |    2662841 |        2 |  698597 |
|  82 |     March, 25 2016 00:00:00 |   66506 |    2729347 |        2 |  765103 |
|  88 |     April, 06 2016 00:00:00 |   69288 |    2798635 |        2 |  834391 |
|  89 |     April, 14 2016 00:00:00 |   43162 |    2841797 |        2 |  877553 |
|  52 |     April, 23 2016 00:00:00 |   47772 |    2889569 |        2 |  925325 |
|   7 |     April, 27 2016 00:00:00 |   33368 |    2922937 |        2 |  958693 |
|  84 |     April, 27 2016 00:00:00 |   57644 |    2980581 |        2 | 1016337 |
|  17 |       May, 17 2016 00:00:00 |   35416 |    3015997 |        3 |   35416 |
|  61 |       May, 17 2016 00:00:00 |   64603 |    3080600 |        3 |  100019 |
|  87 |      June, 07 2016 00:00:00 |   41865 |    3122465 |        3 |  141884 |
|  97 |      June, 08 2016 00:00:00 |   64982 |    3187447 |        3 |  206866 |
|  92 |      June, 15 2016 00:00:00 |   58684 |    3246131 |        3 |  265550 |
|  23 |      June, 26 2016 00:00:00 |   46147 |    3292278 |        3 |  311697 |
|  46 |      June, 30 2016 00:00:00 |   61921 |    3354199 |        3 |  373618 |
|  94 |      July, 03 2016 00:00:00 |   55535 |    3409734 |        3 |  429153 |
|  60 |      July, 07 2016 00:00:00 |   63607 |    3473341 |        3 |  492760 |
|  45 |      July, 20 2016 00:00:00 |   51965 |    3525306 |        3 |  544725 |
|  96 |      July, 20 2016 00:00:00 |   46684 |    3571990 |        3 |  591409 |
|  29 |    August, 09 2016 00:00:00 |   37707 |    3609697 |        3 |  629116 |
|  69 |    August, 11 2016 00:00:00 |   37194 |    3646891 |        3 |  666310 |
|  80 |    August, 19 2016 00:00:00 |   62673 |    3709564 |        3 |  728983 |
|  36 |    August, 28 2016 00:00:00 |   48237 |    3757801 |        3 |  777220 |
|  39 |    August, 29 2016 00:00:00 |   48159 |    3805960 |        3 |  825379 |
|  25 |    August, 30 2016 00:00:00 |   60958 |    3866918 |        3 |  886337 |
|  68 | September, 04 2016 00:00:00 |   50167 |    3917085 |        3 |  936504 |
|  55 | September, 08 2016 00:00:00 |   31193 |    3948278 |        3 |  967697 |
|  64 | September, 10 2016 00:00:00 |   31157 |    3979435 |        3 |  998854 |
|  42 | September, 14 2016 00:00:00 |   52878 |    4032313 |        4 |   52878 |
|  43 | September, 15 2016 00:00:00 |   54728 |    4087041 |        4 |  107606 |
|  77 | September, 18 2016 00:00:00 |   65320 |    4152361 |        4 |  172926 |
|  12 | September, 23 2016 00:00:00 |   43597 |    4195958 |        4 |  216523 |
|  30 | September, 26 2016 00:00:00 |   32764 |    4228722 |        4 |  249287 |
|  10 | September, 27 2016 00:00:00 |   47038 |    4275760 |        4 |  296325 |
|  47 |   October, 08 2016 00:00:00 |   46280 |    4322040 |        4 |  342605 |
|  26 |   October, 10 2016 00:00:00 |   69487 |    4391527 |        4 |  412092 |
|  63 |   October, 30 2016 00:00:00 |   49561 |    4441088 |        4 |  461653 |
|  78 |  November, 15 2016 00:00:00 |   40138 |    4481226 |        4 |  501791 |
|  27 |  November, 27 2016 00:00:00 |   57378 |    4538604 |        4 |  559169 |
|  21 |  December, 01 2016 00:00:00 |   35336 |    4573940 |        4 |  594505 |
|  16 |  December, 03 2016 00:00:00 |   39671 |    4613611 |        4 |  634176 |
|  22 |  December, 13 2016 00:00:00 |   34574 |    4648185 |        4 |  668750 |
|  72 |   January, 29 2017 00:00:00 |   55084 |    4703269 |        4 |  723834 |
|  44 |   January, 30 2017 00:00:00 |   36742 |    4740011 |        4 |  760576 |
|  24 |  February, 01 2017 00:00:00 |   31061 |    4771072 |        4 |  791637 |
|  76 |  February, 12 2017 00:00:00 |   35059 |    4806131 |        4 |  826696 |
|   9 |  February, 27 2017 00:00:00 |   39767 |    4845898 |        4 |  866463 |
|  11 |  February, 28 2017 00:00:00 |   66007 |    4911905 |        4 |  932470 |

答案 1 :(得分：1)

我再次看一下，无法使用Windows函数解决它，所以我采用了递归方式

<强> SQL Fiddle Demo

示例数据：block_o_data struct header *block_o_data; void* startingAddress = sbrk(0); block_o_data = startingAddress; 之间100 rows之间的随机日期2015-2017 

10k - 70k

创建DROP TABLE IF EXISTS "myTable"; CREATE TABLE "myTable" ( id SERIAL PRIMARY KEY, day_t varchar(255), collect integer NULL ); INSERT INTO "myTable" (day_t,collect) VALUES ('2015-04-10',65825),('2015-09-07',39408),('2015-07-26',58672),('2015-06-04',46891),('2016-02-05',53953),('2015-09-17',65957),('2016-04-27',33368),('2016-03-25',51809),('2017-02-27',39767),('2016-09-27',47038); INSERT INTO "myTable" (day_t,collect) VALUES ('2017-02-28',66007),('2016-09-23',43597),('2015-03-25',69484),('2015-09-09',40234),('2015-05-19',50847),('2016-12-03',39671),('2016-05-17',35416),('2015-11-23',44925),('2015-10-14',48509),('2015-08-27',36882); INSERT INTO "myTable" (day_t,collect) VALUES ('2016-12-01',35336),('2016-12-13',34574),('2016-06-26',46147),('2017-02-01',31061),('2016-08-30',60958),('2016-10-10',69487),('2016-11-27',57378),('2016-01-23',40250),('2016-08-09',37707),('2016-09-26',32764); INSERT INTO "myTable" (day_t,collect) VALUES ('2015-07-10',39649),('2016-02-11',44988),('2015-11-09',41944),('2015-11-11',35516),('2015-09-30',49446),('2016-08-28',48237),('2015-06-28',54315),('2015-06-09',64732),('2016-08-29',48159),('2015-11-05',67293); INSERT INTO "myTable" (day_t,collect) VALUES ('2015-03-30',56404),('2016-09-14',52878),('2016-09-15',54728),('2017-01-30',36742),('2016-07-20',51965),('2016-06-30',61921),('2016-10-08',46280),('2015-10-28',58527),('2015-03-27',57412),('2015-05-11',39641); INSERT INTO "myTable" (day_t,collect) VALUES ('2015-05-17',32895),('2016-04-23',47772),('2016-02-25',68948),('2016-01-02',32330),('2016-09-08',31193),('2015-10-26',30072),('2015-07-14',60394),('2015-05-11',49759),('2015-06-30',34885),('2016-07-07',63607); INSERT INTO "myTable" (day_t,collect) VALUES ('2016-05-17',64603),('2015-12-24',34678),('2016-10-30',49561),('2016-09-10',31157),('2016-01-25',49404),('2015-05-29',66332),('2015-12-25',35323),('2016-09-04',50167),('2016-08-11',37194),('2016-01-06',47875); INSERT INTO "myTable" (day_t,collect) VALUES ('2015-07-08',46440),('2017-01-29',55084),('2016-01-26',65879),('2015-08-20',37972),('2015-10-12',31448),('2017-02-12',35059),('2016-09-18',65320),('2016-11-15',40138),('2015-06-14',62843),('2016-08-19',62673); INSERT INTO "myTable" (day_t,collect) VALUES ('2015-12-28',37071),('2016-03-25',66506),('2016-03-11',47244),('2016-04-27',57644),('2015-11-20',43920),('2015-10-11',34291),('2016-06-07',41865),('2016-04-06',69288),('2016-04-14',43162),('2015-03-11',69880); INSERT INTO "myTable" (day_t,collect) VALUES ('2015-07-12',65048),('2016-06-15',58684),('2015-09-29',47213),('2016-07-03',55535),('2015-08-19',52393),('2016-07-20',46684),('2016-06-08',64982),('2015-07-20',34481),('2015-04-03',59426),('2015-04-27',60884); 以执行递归需要连续row_number 

ID's

递归查询

如果您看到CREATE TABLE sortDates as SELECT day_t, collect, row_number() over (order by day_t) rn FROM "myTable"; ，如果之前的总CASE大于100万，那么总数就会重置。

m.collect

最后，只需将行打开，即可突破100万限制。

<强>输出 

WITH RECURSIVE million(rn, day_t, collect) AS (
    (
        SELECT rn, day_t, collect
        FROM sortDates
        WHERE rn = 1         
    )
    UNION 
    (
        SELECT s.rn, s.day_t, CASE WHEN m.collect > 1000000 THEN s.collect 
                                   ELSE m.collect + s.collect
                              END as collect
        FROM sortDates s
        JOIN million m
          ON s.rn = m.rn + 1        
    )    
)
SELECT *
FROM million
WHERE collect > 1000000
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