作者:乐果Meng_501 | 来源:互联网 | 2017-05-12 14:53
自己网站的世界杯猜想活动,整理了几个排行榜。写了半个小时的SQL,丢了多可惜,放在这里,反正是别人的地盘,不心疼。
/*增幅降幅排名*/
代码如下:
Select top 50 UserName,sum(ReceivePrice) - sum(GuessPrice) as ReceivePrice,
cast(sum(CASE WHEN ReceivePrice>0 THEN 1.0 ELSE 0 END) / count(ReceivePrice) * 100 as numeric(4,1)) as Rate
From [game_FantasyLog]
WHERE IsJudge=1
GROUP BY UserId,UserName
ORDER BY sum(ReceivePrice) - sum(GuessPrice) ASC /*正确率错误率排名*/
代码如下:
Select top 50 UserName,sum(ReceivePrice) - sum(GuessPrice) as ReceivePrice,
cast(sum(CASE WHEN ReceivePrice>0 THEN 1.0 ELSE 0 END) / count(ReceivePrice) * 100 as numeric(4,1)) as Rate
From [game_FantasyLog]
WHERE IsJudge=1
GROUP BY UserId,UserName Having count(UserId) >= 5
ORDER BY cast(sum(CASE WHEN ReceivePrice>0 THEN 1.0 ELSE 0 END) / count(ReceivePrice) * 100 as numeric(4,1)) ASC /*大手笔排名*/
代码如下:
Select top 50 l.UserName,sum(l.GuessPrice),sum(l.ReceivePrice),f.title
From [game_FantasyLog] l left join [game_fantasy] f on l.topicid = f.id
GROUP BY l.TopicId,l.UserName,f.title
ORDER BY sum(l.GuessPrice) DESC /*冷门场次排名*/
代码如下:
Select top 50 f.id,f.title,f.GuessPrice,(select sum(receivePrice) FROM [game_FantasyLog] l where l.topicid = f.id),
cast((select sum(CASE WHEN ReceivePrice>0 THEN 1.0 ELSE 0 END) / f.GuessTimes FROM [game_FantasyLog] l2 where l2.topicid = f.id) as numeric(4,2))
From [game_Fantasy] f WHERE f.GuessPrice > 1000
ORDER BY (select sum(receivePrice) FROM [game_FantasyLog] l where l.topicid = f.id) ASC /*冷门场次的命中者*/
代码如下:
Select top 50 UserName,sum(ReceivePrice) as ReceivePrice
From [game_FantasyLog] where topicid=29
GROUP BY TopicId,UserName
ORDER BY sum(ReceivePrice) DESC