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/*增幅降幅排名*/ 复制代码 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*/ 复制代码 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*/ 复制代码 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*/ 复制代码 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*/ 复制代码 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 |
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