表の値との間のギャップを埋める - MySQLの

Question

Iは、（MySQLの）テーブルを有する

UserID | CreationTS | Type   | Value | Bonus Value  
259275 | 2012-08-01 | Deposit  | -------- | NULL 
259275 | 2012-08-02 | BonusApplied |  175 | 175 
259275 | 2012-08-03 | TradeOrder | -------- | 175 
259275 | 2012-08-06 | TradeOrder | -------- | 175 
259275 | 2012-08-10 | BonusApplied |  180 | 180 
259275 | 2012-08-11 | TradeOrder | -------- | 180 
259275 | 2012-08-12 | TradeOrder | -------- | 180 
259275 | 2012-08-15 | TradeOrder | -------- | 180 
259275 | 2012-08-17 | BonusApplied |  200 | 200 
259275 | 2012-08-18 | TradeOrder | -------- | 200 
259681 | 2012-08-01 | Deposit  | -------- | NULL 
259681 | 2012-08-02 | BonusApplied |  175 | 175 
259681 | 2012-08-03 | TradeOrder | -------- | 175 
259681 | 2012-08-06 | TradeOrder | -------- | 175 
259681 | 2012-08-10 | BonusApplied |  180 | 180 
259681 | 2012-08-11 | TradeOrder | -------- | 180 
259681 | 2012-08-12 | TradeOrder | -------- | 180 
259681 | 2012-08-15 | TradeOrder | -------- | 180 
259681 | 2012-08-17 | BonusApplied |  200 | 200 
259681 | 2012-08-18 | TradeOrder | -------- | 200 

Iが最初に基づいて、ユーザIDごとに、BonusApplied型との間に、充填されたVALUEのギャップを埋めるために必要ユーザーあたりの価値とBonusApplied。 最終値はボーナス値列にあります。それだけが必要。 JOINの代わりに@variablesに基づいた解決策がある場合、それは素晴らしいでしょう。

Answer 1

ことは、これを試してみてください：

CREATE TABLE bonusTable (userID INT UNSIGNED, CreationTs DATE, `Type` CHAR(32), `Value` INT UNSIGNED, BonusValue INT); 

INSERT INTO bonusTable VALUES 
(259275, '2012-08-01', 'Deposit', NULL, NULL), 
(259275, '2012-08-02', 'BonusApplied', 175, 175), 
(259275, '2012-08-03', 'TradeOrder', NULL, 175), 
(259275, '2012-08-06', 'TradeOrder', NULL, 175), 
(259275, '2012-08-10', 'BonusApplied', 180, 180), 
(259275, '2012-08-11', 'TradeOrder', NULL, 180), 
(259275, '2012-08-12', 'TradeOrder', NULL, 180), 
(259275, '2012-08-15', 'TradeOrder', NULL, 180), 
(259275, '2012-08-17', 'BonusApplied', 200, 200), 
(259275, '2012-08-18', 'TradeOrder', NULL, 200), 
(259681, '2012-08-01', 'Deposit', NULL, NULL), 
(259681, '2012-08-02', 'BonusApplied', 175, 175), 
(259681, '2012-08-03', 'TradeOrder', NULL, 175), 
(259681, '2012-08-06', 'TradeOrder', NULL, 175), 
(259681, '2012-08-10', 'BonusApplied', 180, 180), 
(259681, '2012-08-11', 'TradeOrder', NULL, 180), 
(259681, '2012-08-12', 'TradeOrder', NULL, 180), 
(259681, '2012-08-15', 'TradeOrder', NULL, 180), 
(259681, '2012-08-17', 'BonusApplied', 200, 200), 
(259681, '2012-08-18', 'TradeOrder', NULL, 200); 


SET @VUserID := NULL; 
SET @VValue := NULL; 

SELECT CreationTs, `Type`, IF(@VUserID = userID, IF(`Value` IS NULL, @VValue, @VValue := `Value`), @VValue := `Value`) BonusValue, @VUserID := userID userID FROM bonusTable ORDER BY userID, CreationTs; 

#Cols in original order: 
SELECT userID, CreationTs, `Type`, BonusValue FROM (
SELECT CreationTs, `Type`, IF(@VUserID = userID, IF(`Value` IS NULL, @VValue, @VValue := `Value`), @VValue := `Value`) BonusValue, @VUserID := userID userID FROM bonusTable ORDER BY userID, CreationTs 
) A; 

Answer 2

は、ここでのJOIN型ソリューションです：

DROP TABLE IF EXISTS my_table; 

CREATE TABLE my_table 
(id INT NOT NULL 
,seq INT NOT NULL 
,value INT NULL 
,PRIMARY KEY(id,seq) 
); 

INSERT INTO my_table VALUES 
(101, 1,NULL), 
(101, 2,175), 
(101, 4,NULL), 
(101, 7,NULL), 
(101, 9,180), 
(101,11,NULL), 
(102, 2,NULL), 
(102, 3,175), 
(102, 4,NULL), 
(102, 7,NULL), 
(102, 9,200), 
(102,12,NULL); 

SELECT x.* 
    , MAX(y.value) i 
    FROM my_table x 
    JOIN my_table y 
    ON y.id = x.id 
    AND y.seq <= x.seq 
GROUP 
    BY x.id,x.seq; 
+-----+-----+-------+------+ 
| id | seq | value | i | 
+-----+-----+-------+------+ 
| 101 | 1 | NULL | NULL | 
| 101 | 2 | 175 | 175 | 
| 101 | 4 | NULL | 175 | 
| 101 | 7 | NULL | 175 | 
| 101 | 9 | 180 | 180 | 
| 101 | 11 | NULL | 180 | 
| 102 | 2 | NULL | NULL | 
| 102 | 3 | 175 | 175 | 
| 102 | 4 | NULL | 175 | 
| 102 | 7 | NULL | 175 | 
| 102 | 9 | 200 | 200 | 
| 102 | 12 | NULL | 200 | 
+-----+-----+-------+------+