1

SQLクエリがあります

SET @cumulative_sum := 0;
SELECT fct_sales.datDate, @cumulative_sum := @cumulative_sum + fct_sales.dblTotal AS     
cumulative_sum
FROM fct_sales
where
fct_sales.intProductID=40
and
fct_sales.datDate
between
'2011-01-01'
and
'2011-01-10'
 ORDER BY fct_sales.datDate ASC

これはうまくいき、結果テーブルを次のように表示します

 _______________________________
 |     datDate|  Cumulative_sum|
 |____________|________________|          
 | 2011-01-02 |   5005         |
 |____________|________________|
 |2011-01-04  |   7007         |
 |____________|________________|

しかし、私が必要としているのはこれです：

  _____________________________
 |     datDate|  Cumulative_sum|
 |____________|________________| 
 |  2011-01-01|  5005          |
 |____________|________________| 
 |  2011-01-02|  5005          |
 |____________|________________| 
 |  2011-01-03|  5005          |
 |____________|________________| 
 |  2011-01-04|  7007          |
 |____________|________________| 
 |  2011-01-05|  7007          |
 |____________|________________| 
 |  2011-01-06|  7007          |
 |____________|________________| 
 |  2011-01-07|  7007          |
 |____________|________________| 
 |  2011-01-08|  7007          |
 |____________|________________| 
 |  2011-01-09|  7007          |
 |____________|________________| 
 |  2011-01-10|  7007          |
 |____________|________________|

どうすればこれを達成できますか？

4

3 に答える 3

0

あなたのデータはあなたの問題を解決するのに適切ではないので..しかしあなたが提供したものは何でも私はこれがあなたを助けると思います..

SELECT datDate, Cumulative_sum from fct_sales where Cumulative_sum > 5005 AND Cumulative_sum < 7007 AND intProductID = '40' ORDER BY datDate ASC
于 2012-10-10T05:32:13.673 に答える
0

これを試して

SELECT datDate, Cumulative_sum FROM fct_sales WHERE intProductID='40' AND datDate BETWEEN '2011-01-01' AND '2011-01-10' GROUP BY datDate
于 2012-10-10T06:14:49.300 に答える
0

こんにちは基本的にこのクエリには3つのものが必要です：

  1. 日付のセット
  2. 同じテーブルでfct_salesを結合して、nextDateを取得します
  3. 日付のセットを作成し、fct_salesに参加しました。

5005の合計が2011-01-01の日付になるようにしたい場合は、不可能だと思います。リストに2つ以上のCumulative_sumがある場合、それらは互いにオーバーラップします...

日付の範囲が必要なため、例はきれいではありません。時々dbには、クエリコードを減らすのに役立つタイムテーブルがあります。これが役に立たない場合は、少なくとも少しは役に立ちます:)

SQLFIDDLE

だからここに私の例：

 SELECT
    a.Date
    ,b.Cumulative_sum
    FROM
      (SELECT DATE_FORMAT(curdate() - INTERVAL (a.a + (10 * b.a) + (100 * c.a)) DAY, '%Y-%m-%d') AS Date
       FROM
         (SELECT 0 AS a
          UNION ALL SELECT 1
          UNION ALL SELECT 2
          UNION ALL SELECT 3
          UNION ALL SELECT 4
          UNION ALL SELECT 5
          UNION ALL SELECT 6
          UNION ALL SELECT 7
          UNION ALL SELECT 8
          UNION ALL SELECT 9) AS a CROSS
       JOIN
         (SELECT 0 AS a
          UNION ALL SELECT 1
          UNION ALL SELECT 2
          UNION ALL SELECT 3
          UNION ALL SELECT 4
          UNION ALL SELECT 5
          UNION ALL SELECT 6
          UNION ALL SELECT 7
          UNION ALL SELECT 8
          UNION ALL SELECT 9) AS b CROSS
       JOIN
         (SELECT 0 AS a
          UNION ALL SELECT 1
          UNION ALL SELECT 2
          UNION ALL SELECT 3
          UNION ALL SELECT 4
          UNION ALL SELECT 5
          UNION ALL SELECT 6
          UNION ALL SELECT 7
          UNION ALL SELECT 8
          UNION ALL SELECT 9) AS c) a,
       (SELECT 
        fc1.datDate, 
        fc1.Cumulative_sum, 
         (SELECT MIN(fc2.datDate)  
          from fc fc2 
          WHERE fc1.datDate < fc2.datDate ) AS nextDate
    from fc fc1) b
      where (a.Date between '2011-01-01' and '2011-01-10')
        AND a.Date>=b.datDate 
        AND a.Date < COALESCE(b.nextDate, '2011-01-11')
      ORDER BY a.Date, b.Cumulative_sum

結果：

DATE    CUMULATIVE_SUM
2011-01-02  5005
2011-01-03  5005
2011-01-04  7007
2011-01-05  7007
2011-01-06  7007
2011-01-07  7007
2011-01-08  7007
2011-01-09  7007
2011-01-10  7007

クエリデータを使用したクエリの例：

SET @cumulative_sum := 0;
SELECT
    a.Date
    ,b.Cumulative_sum
    FROM
      (SELECT DATE_FORMAT(curdate() - INTERVAL (a.a + (10 * b.a) + (100 * c.a)) DAY, '%Y-%m-%d') AS Date
       FROM
         (SELECT 0 AS a
          UNION ALL SELECT 1
          UNION ALL SELECT 2
          UNION ALL SELECT 3
          UNION ALL SELECT 4
          UNION ALL SELECT 5
          UNION ALL SELECT 6
          UNION ALL SELECT 7
          UNION ALL SELECT 8
          UNION ALL SELECT 9) AS a CROSS
       JOIN
         (SELECT 0 AS a
          UNION ALL SELECT 1
          UNION ALL SELECT 2
          UNION ALL SELECT 3
          UNION ALL SELECT 4
          UNION ALL SELECT 5
          UNION ALL SELECT 6
          UNION ALL SELECT 7
          UNION ALL SELECT 8
          UNION ALL SELECT 9) AS b CROSS
       JOIN
         (SELECT 0 AS a
          UNION ALL SELECT 1
          UNION ALL SELECT 2
          UNION ALL SELECT 3
          UNION ALL SELECT 4
          UNION ALL SELECT 5
          UNION ALL SELECT 6
          UNION ALL SELECT 7
          UNION ALL SELECT 8
          UNION ALL SELECT 9) AS c) a,
       (SELECT
    fc1.datDate,
    fc1.Cumulative_sum,
         (SELECT MIN(fc2.datDate) AS datDate
            FROM (SELECT fct_sales.datDate, @cumulative_sum := @cumulative_sum + fct_sales.dblTotal AS     
                    cumulative_sum
                  FROM fct_sales
                 where
                fct_sales.intProductID=40
                and fct_sales.datDate between '2011-01-01' and '2011-01-10') fc2
          WHERE fc1.datDate < fc2.datDate ) AS nextDate
        FROM (SELECT fct_sales.datDate, @cumulative_sum := @cumulative_sum + fct_sales.dblTotal AS     
              cumulative_sum
             FROM fct_sales
             where
             fct_sales.intProductID=40
            and fct_sales.datDate between '2011-01-01' and '2011-01-10' ) fc1) b
      where (a.Date between '2011-01-01' and '2011-01-10')
        AND a.Date>=b.datDate 
        AND a.Date < COALESCE(b.nextDate, '2011-01-11')
      ORDER BY a.Date, b.Cumulative_sum
于 2012-10-10T16:48:43.970 に答える