世界杯猜想活動(dòng)的各類(lèi)榜單的SQL語(yǔ)句小結(jié)
更新時(shí)間：2010年07月26日 14:08:46 作者：
自己網(wǎng)站的世界杯猜想活動(dòng)，整理了幾個(gè)排行榜。寫(xiě)了半個(gè)小時(shí)的SQL，丟了多可惜，放在這里，反正是別人的地盤(pán)，不心疼。
/*增幅降幅排名*/
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
/*正確率錯(cuò)誤率排名*/
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
/*大手筆排名*/
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
/*冷門(mén)場(chǎng)次排名*/
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
/*冷門(mén)場(chǎng)次的命中者*/
Select top 50 UserName,sum(ReceivePrice) as ReceivePrice
From [game_FantasyLog] where topicid=29
GROUP BY TopicId,UserName
ORDER BY sum(ReceivePrice) DESC
復(fù)制代碼 代碼如下:
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
/*正確率錯(cuò)誤率排名*/
復(fù)制代碼 代碼如下:
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
/*大手筆排名*/
復(fù)制代碼 代碼如下:
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
/*冷門(mén)場(chǎng)次排名*/
復(fù)制代碼 代碼如下:
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
/*冷門(mén)場(chǎng)次的命中者*/
復(fù)制代碼 代碼如下:
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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