Je voudrais combiner ROLLUP avec PIVOT - est-ce une option?

Question

J'utilise

SELECT 
    Author, 
    ISNULL(MAX(CASE Status WHEN 'Duplicate' THEN NumDocs END),'') AS Duplicate, 
    ISNULL(MAX(CASE Status WHEN 'Failure' THEN NumDocs END),'') AS Failure, 
    ISNULL(MAX(CASE Status WHEN 'Rejected' THEN NumDocs END),'') AS Rejected, 
    ISNULL(MAX(CASE Status WHEN 'Success' THEN NumDocs END),'') AS Success, 
    ISNULL(MAX(CASE Status WHEN 'TOTAL' THEN NumDocs END),'') AS TOTAL 
FROM  
    (SELECT 
     CASE WHEN (GROUPING(Author)=1) THEN 'ALL' 
      ELSE ISNULL(Author,'UNKNOWN') END AS Author, 
     CASE WHEN (GROUPING(Status)=1) THEN 'TOTAL' 
      ELSE ISNULL(Status ,'UNKNOWN') END AS [Status], 
     COUNT(Status) AS NumDocs 
    FROM 
     tbl_Document D 
    LEFT JOIN 
     tbl_Status S 
      ON 
       D.status_id = S.status_id 
    GROUP BY 
     Author, 
     Status 
    WITH ROLLUP) BASE 
GROUP BY 
    Author 

Pour transformer:

[Author] [Status] 
Alan  SUCCESS 
Bob  FAILURE 
Bob  SUCCESS 
Charles SUCCESS 
Dave  FAILURE 
Dave  DUPLICATE 

À:

[Author] [SUCCESS] [FAILURE] [DUPLICATE] [TOTALS] 
Alan  1   0   0   1 
Bob   1   1   0   2 
Charles  1   0   0   1 
Dave  0   1   1   2 
TOTAL  3   2   1   6 

Je peux se rapprocher de cette sortie en utilisant une instruction PIVOT, mais je ne suis pas sûr comment obtenir la ligne/colonne TOTAL?

SELECT 
    * 
FROM 
    (SELECT Author, status_id FROM tbl_Document) d 
PIVOT 
    (COUNT(status_id) FOR status_id IN ([1],[3],[5],[6])) p 

donne:

[Author] [SUCCESS] [FAILURE] [DUPLICATE] 
Alan  1   0   0  
Bob   1   1   0  
Charles  1   0   0  
Dave  0   1   1  

Je devine que je dois mettre Rollup dans une sous-requête quelque part ...?

Answer 1

Vous n'avez pas publié le schéma de la table, j'ai donc essayé de l'inférer. J'ai commencé avec l'entrée que vous avez donnée (voir le commentaire dans le SELECT), donc vous devriez être capable de l'adapter à votre schéma actuel. J'ai inclus un auteur supplémentaire sans aucun document, parce que je pensais que vous voudriez voir ceux dans le rapport final. Il est trivial d'exclure ces auteurs.

DECLARE @Status table 
(
    Id int NOT NULL, 
    Status nvarchar(50) NOT NULL 
) 

DECLARE @Authors table 
(
    Id int NOT NULL, 
    Name nvarchar(50) NOT NULL 
) 

DECLARE @Documents table 
(
    Id int NOT NULL, 
    AuthorId int NOT NULL, 
    StatusId int NOT NULL 
) 

INSERT INTO @Status VALUES (1, 'Duplicate') 
INSERT INTO @Status VALUES (2, 'Failure') 
INSERT INTO @Status VALUES (3, 'Rejected') 
INSERT INTO @Status VALUES (4, 'Success') 

INSERT INTO @Authors VALUES (1, 'Alan') 
INSERT INTO @Authors VALUES (2, 'Bob') 
INSERT INTO @Authors VALUES (3, 'Charles') 
INSERT INTO @Authors VALUES (4, 'Dave') 
INSERT INTO @Authors VALUES (5, 'Tom') -- Test for authors without documents 

INSERT INTO @Documents VALUES (1, 1, 4) 
INSERT INTO @Documents VALUES (2, 2, 2) 
INSERT INTO @Documents VALUES (3, 2, 4) 
INSERT INTO @Documents VALUES (4, 3, 4) 
INSERT INTO @Documents VALUES (5, 4, 2) 
INSERT INTO @Documents VALUES (6, 4, 1) 

SELECT 
    (CASE WHEN GROUPING(Name) = 1 THEN 'Total' ELSE Name END) AS Author, 
    SUM(Duplicate) AS Duplicate, 
    SUM(Failure) AS Failure, 
    SUM(Rejected) AS Rejected, 
    SUM(Success) AS Success, 
    SUM(Duplicate + Failure + Rejected + Success) AS Total 
    FROM 
    (
     SELECT 
      Name, 
      (CASE WHEN Status = 'Duplicate' THEN 1 ELSE 0 END) AS Duplicate, 
      (CASE WHEN Status = 'Failure' THEN 1 ELSE 0 END) AS Failure, 
      (CASE WHEN Status = 'Rejected' THEN 1 ELSE 0 END) AS Rejected, 
      (CASE WHEN Status = 'Success' THEN 1 ELSE 0 END) AS Success 
      FROM 
      (
       -- Original input 
       SELECT 
        a.Name, 
        s.Status 
        FROM @Authors a 
        LEFT OUTER JOIN @Documents d ON d.AuthorId = a.Id 
        LEFT OUTER JOIN @Status s ON d.StatusId = s.Id 
      ) i 
    ) j 
    GROUP BY Name WITH ROLLUP 

sortie:

Author Duplicate Failure Rejected Success Total 
Alan  0   0  0   1  1 
Bob  0   1  0   1  2 
Charles 0   0  0   1  1 
Dave  1   1  0   0  2 
Tom  0   0  0   0  0 
Total 1   2  0   3  6