Pivot et Unpivot pour 4 tables jointes SQL Server

Question

J'utilise SQL Server 2012 et je souhaite créer un tableau croisé dynamique avec 4 tables jointes.

Voilà ma question:

SELECT 
    a.Itemno, a.Qty as PlanMilling, 
    ISNULL(b.MinimStock, 0) as MinStock, 
    CAST(a.ScheduleDate as Date) AS Schedule, 
    ISNULL(SUM(c.Qty), 0) as QtyBuilding, 
    ISNULL(d.RunQty, 0) as QtyStock, 
    d.itemcode, 
    ISNULL((a.Qty + d.RunQty) - SUM(c.Qty), 0) as Balance 
FROM 
    Schedule a 
LEFT OUTER JOIN 
    Item b ON a.ItemNo = b.ItemNo 
LEFT OUTER JOIN 
    ShopOrderList c on a.ItemNo = c.ItemNo and a.ScheduleDate = c.ScheduleDate 
LEFT OUTER JOIN 
    (SELECT 
     RunQty, ItemCode 
    FROM 
     ICMutTran a 
    INNER JOIN 
     (SELECT 
       itemcode as ItemNo, max(id) as maxid 
      FROM 
       ICMutTran 
      GROUP BY 
       itemcode) AS b ON a.id = b.maxid) d ON (a.ItemNo = d.ItemCode) 
GROUP BY 
    a.ItemNo, a.Qty, b.MinimStock, a.ScheduleDate, d.RunQty, d.itemcode 

et le résultat:

ItemNo | PlanMilling | MinStock | Schedule | QtyBuilding | QtyStock | ItemCode | 
---------------------------------------------------------------------------------------------------------- 
123  | 1000   | 100   | 2016-02-04 | 200    | 1500   | 123   | 
123  | 2000   | 100   | 2016-02-05 | 100    | 1500   | 123   | 
123  | 1500   | 100   | 2016-02-06 | 150    | 1500   | 123   | 

Ce que je dois est le suivant:

ColName  | 2016-02-04 | 2016-02-05 | 2016-02-06 | 
---------------------------------------------------------------- 
PlanMilling | 1000   | 2000   | 1500   | 
MinStock | 100   | 100   | 100   | 
QtyBuilding | 200   | 100   | 150   | 
QtyStock | 1500   | 1500   | 1500   | 

Quelqu'un peut-il résoudre mon cas? J'ai vraiment besoin de votre aide (désolé pour mon mauvais anglais) ..

Merci

Answer 1

Ce que votre PIVOT dynamiquement sur ScheduleDate. Vous pouvez utiliser ce script en réécrivant votre instruction SELECT comme

SELECT <your selects> INTO #tt FROM <the rest of your query> 

et utiliser la partie du script après les déclarations CREATE TABLE #tt et INSERT INTO #tt. Après avoir pivoté, n'oubliez pas de DROP la table temporaire.

CREATE TABLE #tt(ItemNo INT,PlanMilling INT,MinStock INT,Schedule VARCHAR(10),QtyBuilding INT,QtyStock INT,ItemCode INT); 
INSERT INTO #tt(ItemNo,PlanMilling,MinStock,Schedule,QtyBuilding,QtyStock,ItemCode)VALUES 
    (123,1000,100,'2016-02-04',200,1500,123), 
    (123,2000,100,'2016-02-05',100,1500,123), 
    (123,1500,100,'2016-02-06',150,1500,123); 

DECLARE @schedule_dates NVARCHAR(MAX)=STUFF((
    SELECT DISTINCT 
     ','+QUOTENAME(Schedule) 
    FROM 
     #tt 
    FOR 
     XML PATH('') 
    ),1,1,'' 
); 

DECLARE @stmt NVARCHAR(MAX)=N' 
    SELECT 
     ColName,' + 
     @schedule_dates+' 
    FROM 
     #tt 
     UNPIVOT (
      value 
      FOR ColName in (PlanMilling,MinStock,QtyBuilding,QtyStock) 
     ) AS up 
     PIVOT (
      MAX(value) 
      FOR Schedule IN ('+@schedule_dates+') 
     ) AS p; 
'; 
EXECUTE sp_executesql @stmt; 

DROP TABLE #tt; 

Résultats:

+-------------+------------+------------+------------+ 
| ColName | 2016-02-04 | 2016-02-05 | 2016-02-06 | 
+-------------+------------+------------+------------+ 
| MinStock |  100 |  100 |  100 | 
| PlanMilling |  1000 |  2000 |  1500 | 
| QtyBuilding |  200 |  100 |  150 | 
| QtyStock |  1500 |  1500 |  1500 | 
+-------------+------------+------------+------------+ 

Answer 2

Voici une option à l'aide union all avec conditional aggregation (bien que ce soit un peu laid):

with cte as (
    <<your query here>> 
) 
select 'PlanMilling' ColName, 
     max(case when Schedule = '2016-02-04' then PlanMilling end) '2016-02-04', 
     max(case when Schedule = '2016-02-05' then PlanMilling end) '2016-02-05', 
     max(case when Schedule = '2016-02-06' then PlanMilling end) '2016-02-06' 
from cte 
union all 
select 'MinStock' ColName, 
     max(case when Schedule = '2016-02-04' then MinStock end) '2016-02-04', 
     max(case when Schedule = '2016-02-05' then MinStock end) '2016-02-05', 
     max(case when Schedule = '2016-02-06' then MinStock end) '2016-02-06' 
from cte 
union all 
select 'QtyBuilding' ColName, 
     max(case when Schedule = '2016-02-04' then QtyBuilding end) '2016-02-04', 
     max(case when Schedule = '2016-02-05' then QtyBuilding end) '2016-02-05', 
     max(case when Schedule = '2016-02-06' then QtyBuilding end) '2016-02-06' 
from cte 
union all 
select 'QtyStock' ColName, 
     max(case when Schedule = '2016-02-04' then QtyStock end) '2016-02-04', 
     max(case when Schedule = '2016-02-05' then QtyStock end) '2016-02-05', 
     max(case when Schedule = '2016-02-06' then QtyStock end) '2016-02-06' 
from cte