Tableau croisé dynamique SQL Server avec plusieurs agrégats de colonnes
J'ai une table:
create table mytransactions(country varchar(30), totalcount int, numericmonth int, chardate char(20), totalamount money)
Le tableau contient ces enregistrements:
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 36, 7, 'Jul-12', 699.96)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 44, 8, 'Aug-12', 1368.71)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 52, 9, 'Sep-12', 1161.33)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 50, 10, 'Oct-12', 1099.84)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 38, 11, 'Nov-12', 1078.94)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 63, 12, 'Dec-12', 1668.23)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 11, 7, 'Jul-12', 257.82)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 5, 8, 'Aug-12', 126.55)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 7, 9, 'Sep-12', 92.11)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 12, 10, 'Oct-12', 103.56)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 21, 11, 'Nov-12', 377.68)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 3, 12, 'Dec-12', 14.35)
Go
Voici à quoi ressemble un select *:
Country TotalCount numericmonth chardate totalamount
--------- ---------- ----------- -------- -----------
Australia 36 7 Jul-12 699.96
Australia 44 8 Aug-12 1368.71
Australia 52 9 Sep-12 1161.33
Australia 50 10 Oct-12 1099.84
Australia 38 11 Nov-12 1078.94
Australia 63 12 Dec-12 1668.23
Austria 11 7 Jul-12 257.82
Austria 5 8 Aug-12 126.55
Austria 7 9 Sep-12 92.11
Austria 12 10 Oct-12 103.56
Austria 21 11 Nov-12 377.68
Austria 3 12 Dec-12 14.35
Je veux faire pivoter cet ensemble d'enregistrements pour qu'il ressemble à ceci:
Australia Australia Austria Austria
# of Transactions Total $ amount # of Transactions Total $ amount
----------------- -------------- ----------------- --------------
Jul-12 36 699.96 11 257.82
Aug-12 44 1368.71 5 126.55
Sep-12 52 1161.33 7 92.11
Oct-12 50 1099.84 12 103.56
Nov-12 38 1078.94 21 377.68
Dec-12 63 1668.23 3 14.35
Voici le code pivot que j'ai trouvé jusqu'à présent:
select * from mytransactions
pivot (sum (totalcount) for country in ([Australia], [Austria])) as pvt
Voici ce que je reçois:
numericmonth chardate totalamount Australia Austria
----------- -------- ---------- --------- -------
7 Jul-12 257.82 NULL 11
7 Jul-12 699.96 36 NULL
8 Aug-12 126.55 NULL 5
8 Aug-12 1368.71 44 NULL
9 Sep-12 92.11 NULL 7
9 Sep-12 1161.33 52 NULL
10 Oct-12 103.56 NULL 12
10 Oct-12 1099.84 50 NULL
11 Nov-12 377.68 NULL 21
11 Nov-12 1078.94 38 NULL
12 Dec-12 14.35 NULL 3
12 Dec-12 1668.23 63 NULL
Je peux agréger manuellement les enregistrements dans une boucle de variable de table, mais il semble que pivot pourrait être en mesure de le faire.
Est-il possible d'obtenir le jeu d'enregistrements que je veux en utilisant pivot ou y a-t-il un autre outil que je ne connais pas?
Merci
Je ferais cela légèrement différent en appliquant à la fois les fonctions UNPIVOT et PIVOT pour obtenir le résultat final. Le unpivot prend les valeurs des colonnes totalcount et totalamount et les place dans une colonne avec plusieurs lignes. Vous pouvez ensuite pivoter sur ces résultats .:
select chardate,
Australia_totalcount as [Australia # of Transactions],
Australia_totalamount as [Australia Total $ Amount],
Austria_totalcount as [Austria # of Transactions],
Austria_totalamount as [Austria Total $ Amount]
from
(
select
numericmonth,
chardate,
country +'_'+col col,
value
from
(
select numericmonth,
country,
chardate,
cast(totalcount as numeric(10, 2)) totalcount,
cast(totalamount as numeric(10, 2)) totalamount
from mytransactions
) src
unpivot
(
value
for col in (totalcount, totalamount)
) unpiv
) s
pivot
(
sum(value)
for col in (Australia_totalcount, Australia_totalamount,
Austria_totalcount, Austria_totalamount)
) piv
order by numericmonth
Voir SQL Fiddle with Demo .
Si vous avez un nombre inconnu de noms country, vous pouvez utiliser le SQL dynamique:
DECLARE @cols AS NVARCHAR(MAX),
@colsName AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT distinct ',' + QUOTENAME(country +'_'+c.col)
from mytransactions
cross apply
(
select 'TotalCount' col
union all
select 'TotalAmount'
) c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select @colsName
= STUFF((SELECT distinct ', ' + QUOTENAME(country +'_'+c.col)
+' as ['
+ country + case when c.col = 'TotalCount' then ' # of Transactions]' else 'Total $ Amount]' end
from mytransactions
cross apply
(
select 'TotalCount' col
union all
select 'TotalAmount'
) c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query
= 'SELECT chardate, ' + @colsName + '
from
(
select
numericmonth,
chardate,
country +''_''+col col,
value
from
(
select numericmonth,
country,
chardate,
cast(totalcount as numeric(10, 2)) totalcount,
cast(totalamount as numeric(10, 2)) totalamount
from mytransactions
) src
unpivot
(
value
for col in (totalcount, totalamount)
) unpiv
) s
pivot
(
sum(value)
for col in (' + @cols + ')
) p
order by numericmonth'
execute(@query)
Voir SQL Fiddle with Demo
Les deux donnent le résultat:
| CHARDATE | AUSTRALIA # OF TRANSACTIONS | AUSTRALIA TOTAL $ AMOUNT | AUSTRIA # OF TRANSACTIONS | AUSTRIA TOTAL $ AMOUNT |
--------------------------------------------------------------------------------------------------------------------------------------
| Jul-12 | 36 | 699.96 | 11 | 257.82 |
| Aug-12 | 44 | 1368.71 | 5 | 126.55 |
| Sep-12 | 52 | 1161.33 | 7 | 92.11 |
| Oct-12 | 50 | 1099.84 | 12 | 103.56 |
| Nov-12 | 38 | 1078.94 | 21 | 377.68 |
| Dec-12 | 63 | 1668.23 | 3 | 14.35 |
J'ai ajouté la requête/solution dynamique.
Statique
SELECT t.chardate,
SUM(CASE WHEN t.country='Australia' THEN t.totalcount ELSE 0 END) AS "Australia # of Transactions",
SUM(CASE WHEN t.country='Australia' THEN t.totalamount ELSE 0 END) AS "Australia Total $ amount",
SUM(CASE WHEN t.country='Austria' THEN t.totalcount ELSE 0 END) AS "Austria # of Transactions",
SUM(CASE WHEN t.country='Austria' THEN t.totalamount ELSE 0 END) AS "Austria Total $ amount"
FROM mytransactions t
GROUP BY t.chardate;
Remarque:
1) ORDER BY t.chardate Ne fonctionnera pas car les valeurs de la colonne chardate sont chars.
2) Mon conseil est de diviser chardate en deux colonnes numericmonth et numericyear. Dans ce dernier cas, vous pouvez utiliser cette solution:
SELECT t.numericyear, t.numericmonth,
SUM(CASE WHEN t.country='Australia' THEN t.totalcount ELSE 0 END) AS "Australia # of Transactions",
SUM(CASE WHEN t.country='Australia' THEN t.totalamount ELSE 0 END) AS "Australia Total $ amount",
SUM(CASE WHEN t.country='Austria' THEN t.totalcount ELSE 0 END) AS "Austria # of Transactions",
SUM(CASE WHEN t.country='Austria' THEN t.totalamount ELSE 0 END) AS "Austria Total $ amount"
FROM mytransactions t
GROUP BY t.numericyear, t.numericmonth
ORDER BY BY t.numericyear, t.numericmonth;
Dynamique
DECLARE @Sql NVARCHAR(MAX)='SELECT t.chardate';
DECLARE @ColumnTemplate NVARCHAR(MAX)='SUM(CASE WHEN t.country=''{country}'' THEN t.totalcount ELSE 0 END) AS "{country} # of Transactions"
,SUM(CASE WHEN t.country=''{country}'' THEN t.totalamount ELSE 0 END) AS "{country} Total $ amount"'
SELECT @Sql=@Sql+CHAR(13)+','+REPLACE(@ColumnTemplate, '{country}', REPLACE(c.name,'''','''''')e)
FROM (
SELECT DISTINCT t.country AS name
FROM mytransactions t
) c
SELECT @Sql=@Sql+'
FROM mytransactions t
GROUP BY t.chardate;'
PRINT @Sql;
EXEC(@Sql);
Résultats:
SELECT t.chardate
,SUM(CASE WHEN t.country='Australia' THEN t.totalcount ELSE 0 END) AS "Australia # of Transactions"
,SUM(CASE WHEN t.country='Australia' THEN t.totalamount ELSE 0 END) AS "Australia Total $ amount"
,SUM(CASE WHEN t.country='Austria' THEN t.totalcount ELSE 0 END) AS "Austria # of Transactions"
,SUM(CASE WHEN t.country='Austria' THEN t.totalamount ELSE 0 END) AS "Austria Total $ amount"
FROM mytransactions t
GROUP BY t.chardate;
Remarque: La fonction REPLACE de SELECT @Sql=@Sql+CHAR(13)+ ... REPLACE(c.name,'''','''''')) est utilisée pour empêcher SQL injections.
J'ai utilisé votre propre pivot comme requête imbriquée et suis arrivé à ce résultat:
SELECT
[sub].[chardate],
SUM(ISNULL([Australia], 0)) AS [Transactions Australia],
SUM(CASE WHEN [Australia] IS NOT NULL THEN [TotalAmount] ELSE 0 END) AS [Amount Australia],
SUM(ISNULL([Austria], 0)) AS [Transactions Austria],
SUM(CASE WHEN [Austria] IS NOT NULL THEN [TotalAmount] ELSE 0 END) AS [Amount Austria]
FROM
(
select *
from mytransactions
pivot (sum (totalcount) for country in ([Australia], [Austria])) as pvt
) AS [sub]
GROUP BY
[sub].[chardate],
[sub].[numericmonth]
ORDER BY
[sub].[numericmonth] ASC
La façon la moins compliquée et la plus simple de procéder consiste à simplement envelopper votre requête principale avec le pivot dans une expression de table commune, puis à regrouper/agréger.
WITH PivotCTE AS
(
select * from mytransactions
pivot (sum (totalcount) for country in ([Australia], [Austria])) as pvt
)
SELECT
numericmonth,
chardate,
SUM(totalamount) AS totalamount,
SUM(ISNULL(Australia, 0)) AS Australia,
SUM(ISNULL(Austria, 0)) Austria
FROM PivotCTE
GROUP BY numericmonth, chardate
ISNULL sert à empêcher une valeur NULL d'annuler la somme (car NULL + toute valeur = NULL)