一个选项是使用排名变量,比如下面这样:
UPDATE player
JOIN (SELECT p.playerID,
@curRank := @curRank + 1 AS rank
FROM player p
JOIN (SELECT @curRank := 0) r
ORDER BY p.points DESC
) ranks ON (ranks.playerID = player.playerID)
SET player.rank = ranks.rank;
JOIN (SELECT @curRank := 0)
部分允许变量初始化,无需单独使用SET
命令。
更多关于此主题的阅读材料:
测试用例:
CREATE TABLE player (
playerID int,
points int,
rank int
);
INSERT INTO player VALUES (1, 150, NULL);
INSERT INTO player VALUES (2, 100, NULL);
INSERT INTO player VALUES (3, 250, NULL);
INSERT INTO player VALUES (4, 200, NULL);
INSERT INTO player VALUES (5, 175, NULL);
UPDATE player
JOIN (SELECT p.playerID,
@curRank := @curRank + 1 AS rank
FROM player p
JOIN (SELECT @curRank := 0) r
ORDER BY p.points DESC
) ranks ON (ranks.playerID = player.playerID)
SET player.rank = ranks.rank;
结果:
SELECT * FROM player ORDER BY rank;
+
| playerID | points | rank |
+
| 3 | 250 | 1 |
| 4 | 200 | 2 |
| 5 | 175 | 3 |
| 1 | 150 | 4 |
| 2 | 100 | 5 |
+
5 rows in set (0.00 sec)
更新:刚注意到您要求相同排名的项目具有相同的排名。这有点棘手,但可以通过引入更多的变量来解决:
UPDATE player
JOIN (SELECT p.playerID,
IF(@lastPoint <> p.points,
@curRank := @curRank + 1,
@curRank) AS rank,
@lastPoint := p.points
FROM player p
JOIN (SELECT @curRank := 0, @lastPoint := 0) r
ORDER BY p.points DESC
) ranks ON (ranks.playerID = player.playerID)
SET player.rank = ranks.rank;
为了测试,让我们再添加一个得分为175的玩家:
INSERT INTO player VALUES (6, 175, NULL);
结果:
SELECT * FROM player ORDER BY rank;
+
| playerID | points | rank |
+
| 3 | 250 | 1 |
| 4 | 200 | 2 |
| 5 | 175 | 3 |
| 6 | 175 | 3 |
| 1 | 150 | 4 |
| 2 | 100 | 5 |
+
6 rows in set (0.00 sec)
如果您需要在出现并列情况时跳过一个等级,可以添加另一个IF
条件:
UPDATE player
JOIN (SELECT p.playerID,
IF(@lastPoint <> p.points,
@curRank := @curRank + 1,
@curRank) AS rank,
IF(@lastPoint = p.points,
@curRank := @curRank + 1,
@curRank),
@lastPoint := p.points
FROM player p
JOIN (SELECT @curRank := 0, @lastPoint := 0) r
ORDER BY p.points DESC
) ranks ON (ranks.playerID = player.playerID)
SET player.rank = ranks.rank;
结果:
SELECT * FROM player ORDER BY rank;
+
| playerID | points | rank |
+
| 3 | 250 | 1 |
| 4 | 200 | 2 |
| 5 | 175 | 3 |
| 6 | 175 | 3 |
| 1 | 150 | 5 |
| 2 | 100 | 6 |
+
6 rows in set (0.00 sec)
请注意:我建议的查询可能可以进一步简化。