Wonkyの四半期正規化クエリは、より良い目を必要とします。私の再帰スキルがT-SQLで弱いです

Question

これはよくある質問ですが、申し訳ありませんが、私は頑強な解決策を見つけることができません。

基本的には、画像上の最後の列を作成し、私の最後のクエリがスーパーグラグラです：私は現在、

のWindows 7上のMicrosoft SQL Server 2008 R2の管理Studioを実行しています私はこのテーブルを持っています。私は私の母国語（Python、Matlab）でこの問題に対処するいくつかの方法を考えることができますが、T-SQLの初心者です。私は、正しい結果を得るのですが、私はこのルートを取るために持っ嫌い

{ 
select ROW_NUMBER() over(ORDER BY F.WEEK_ENDING) AS 'ROW',f.* 
INTO #TEMP_13 
from #THE_FINAL_COUNTDOWN f 

select t.*, "13_week_normalization" = 
    case  
    when t.ROW = 13 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 1 and 13) 
    when t.ROW = 14 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 2 and 14) 
    when t.ROW = 15 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 3 and 15) 
    when t.ROW = 16 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 4 and 16) 
    when t.ROW = 17 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 5 and 17) 
    when t.ROW = 18 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 6 and 18) 
    when t.ROW = 19 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 7 and 19) 
    when t.ROW = 20 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 8 and 20) 
    when t.ROW = 21 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 9 and 21) 
    when t.ROW = 22 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 10 and 22) 
    when t.ROW = 23 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 11 and 23) 
    when t.ROW = 24 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 12 and 24) 
    when t.ROW = 25 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 13 and 25) 
    when t.ROW = 26 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 14 and 26) 
    when t.ROW = 27 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 15 and 27) 
    when t.ROW = 28 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 16 and 28) 
    when t.ROW = 29 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 17 and 29) 
    when t.ROW = 30 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 18 and 30) 
    when t.ROW = 31 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 19 and 31) 
    when t.ROW = 32 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 20 and 32) 
    when t.ROW = 33 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 21 and 33) 
    when t.ROW = 34 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 22 and 34) 
    when t.ROW = 35 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 23 and 35) 
    when t.ROW = 36 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 24 and 36) 
    when t.ROW = 37 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 25 and 37) 
    when t.ROW = 38 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 26 and 38) 
    when t.ROW = 39 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 27 and 39) 
    when t.ROW = 40 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 28 and 40) 
    when t.ROW = 41 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 29 and 41) 
    when t.ROW = 42 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 30 and 42) 
    when t.ROW = 43 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 31 and 43) 
    when t.ROW = 44 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 32 and 44) 
    when t.ROW = 45 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 33 and 45) 
    when t.ROW = 46 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 34 and 46) 
    when t.ROW = 47 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 35 and 47) 
    when t.ROW = 48 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 36 and 48) 
    when t.ROW = 49 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 37 and 49) 
    when t.ROW = 50 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 38 and 50) 
    when t.ROW = 51 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 39 and 51) 
    when t.ROW = 52 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 40 and 52) 
    when t.ROW = 53 then (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between 41 and 53) 
    else NULL 
    end 
from #TEMP_13 t 
group by t.ROW, t.WEEK_ENDING, t.CalendarWeek, t.TOTAL_USER_RESETS, t.TOTAL_AUTO_RESETS, t.TOTAL_RESETS 
     , t.TOTAL_SEATS_FLOWN, t.USER_AFFECTED, t.AUTO_AFFECTED, t.TOTAL_AFFECTED 
ORDER BY t.WEEK_ENDING} 

：次のコードは、行に私に私の表の最後の列（投稿）の13：53を与えます。はるかにエレガントで効率的なソリューションがあることは知っていますが、私は現時点でそれを得ていません。

私はアドバイス/批評を感謝します。

ありがとうございます。

-stelio

Answer 1

以下を試してください。あなたのデータに応じて、13_week_normalizationカラムの精度を変更する必要があります！

SELECT ROW_NUMBER() over(ORDER BY F.WEEK_ENDING) AS 'ROW', 
CAST(NULL AS DECIMAL(20,8)) AS '13_week_normalization', 
f.* 
INTO #TEMP_13 
from #THE_FINAL_COUNTDOWN f 


UPDATE 
    T1 
SET 
    [13_week_normalization] = (select SUM(1.0*t2.TOTAL_RESETS)/SUM(1.0*t2.TOTAL_SEATS_FLOWN) from #TEMP_13 t2 where t2.ROW between (t1.ROW-12) and t1.ROW) 
FROM 
#TEMP_13 T1 
WHERE 
    T1.ROW >= 13 

select t.* 
from #TEMP_13 t 
ORDER BY t.WEEK_ENDING