世界杯猜想活動(dòng)的各類榜單的SQL語句小結(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，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
/*冷門場次排名*/
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
/*冷門場次的命中者*/
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
/*冷門場次排名*/
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
/*冷門場次的命中者*/
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
相關(guān)文章
SQLServer EVENTDATA()函數(shù)來獲取DDL 觸發(fā)器信息
SQL Server 2005/2008中可以使用EVENTDATA函數(shù)來獲取DDL觸發(fā)器的上下文，從而在ROLLBACK之前截獲DDL信息。EVENTDATA返回XML字段，下面的例子顯示如何截獲Drop Table的DDL信息。2009-07-07
有些時(shí)候你想讓SQL Server 返回一個(gè)聚集結(jié)果集合，而不是一個(gè)詳細(xì)的結(jié)果集。SQL Server的GROUPBY子句，為你提供了一種聚合SQL Server數(shù)據(jù)的方式。GROUPBY子句允許你在一列或多列數(shù)據(jù)甚至是表達(dá)式上進(jìn)行分組操作，在這篇文章中，我將討論如何使用GROUPBY子句來匯總數(shù)據(jù)。2015-09-09
觸發(fā)器是一種特殊類型的存儲過程，它不同于之前的我們介紹的存儲過程。觸發(fā)器主要是通過事件進(jìn)行觸發(fā)被自動(dòng)調(diào)用執(zhí)行的。而存儲過程可以通過存儲過程的名稱被調(diào)用。2013-03-03
原本sql寫得也不好，近幾年數(shù)據(jù)庫用得少，sql更是荒廢了，最近復(fù)習(xí)sql,網(wǎng)上例 子很多，但都只是提供sql例子，沒有配套的數(shù)據(jù)用來自己練習(xí)和調(diào)試2012-06-06
所謂SQL注入，就是通過把SQL命令插入到Web表單提交或輸入域名或頁面請求的查詢字符串，最終達(dá)到欺騙服務(wù)器執(zhí)行惡意的SQL命令。接下來給大家分享一個(gè)簡單的sql注入，一起看看吧2017-07-07
今天小編就為大家分享一篇關(guān)于SQL Server游標(biāo)的介紹與使用，小編覺得內(nèi)容挺不錯(cuò)的，現(xiàn)在分享給大家，具有很好的參考價(jià)值，需要的朋友一起跟隨小編來看看吧2019-01-01
SQLServer 附加數(shù)據(jù)庫后出現(xiàn)只讀或失敗的解決方法
如果你在附加SQL數(shù)據(jù)庫，出現(xiàn)只讀或失敗的情況，來看下本文的解決方案吧。2010-03-03
SQL Server清除日志文件ERRORLOG和刪除tempdb.mdf
數(shù)據(jù)庫再使用一段時(shí)間后,日志文件會(huì)增大,特別是在磁盤容量不足的情況下,更是需要縮減,以下為縮減方法：如果可以停止 SQL Server 服務(wù),那么可以采取更直接的方式來縮減 ERRORLOG 和 tempdb.mdf 文件的大小,2025-03-03
將一個(gè)表中個(gè)某一列修改為自動(dòng)增長的方法
如果表中沒有數(shù)據(jù)可以使用 drop column然后再add column，如果存在一部分?jǐn)?shù)據(jù)可以使用本文提供的第二種解決方法2014-09-09
嵌入式SQL和動(dòng)態(tài)SQL是兩種在應(yīng)用程序中嵌入和使用SQL語句的方法,本文主要介紹了嵌入式SQL和動(dòng)態(tài)SQL的具體使用,具有一定的參考價(jià)值,感興趣的可以了解一下2024-05-05