Сводная таблица SQL с итогами столбцов и строк - PullRequest
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Сводная таблица SQL с итогами столбцов и строк

3 голосов
/ 07 марта 2012

Я пытаюсь добавить итоги строк и столбцов в эту сводную таблицу 

      create table test4(city nvarchar(10), race nvarchar(30), sex nvarchar(10), age int)
            insert into test4 values ('Austin',  'African-American', 'male', 21)
            insert into test4 values ('Austin',  'Asian', 'female', 22)
            insert into test4 values ('Austin',  'Caucasian', 'male', 23)
            insert into test4 values ('Austin',  'Hispanic', 'female', 24)
            insert into test4 values ('Austin',  'African-American', 'Unknown', 25)
            insert into test4 values ('Austin',  'Asian', 'male', 26)
            insert into test4 values ('Austin',  'Caucasian', 'female', 27)
            insert into test4 values ('Austin',  'Hispanic', 'Unknown', 28)
            insert into test4 values ('Austin',  'Asian', 'male', 29)
            insert into test4 values ('Austin',  'Caucasian', 'female', 31)
            insert into test4 values ('Dallas',  'Hispanic', 'Unknown', 32)
            insert into test4 values ('Dallas',  'African-American', 'male', 33)
            insert into test4 values ('Dallas',  'Asian', 'female', 34)
            insert into test4 values ('Dallas',  'Caucasian', 'Unknown', 35)
            insert into test4 values ('Dallas',  'Hispanic', 'male', 500)
            insert into test4 values ('Dallas',  'African-American', 'female', 36)
            insert into test4 values ('Dallas',  'Asian', 'Unknown', 37)
            insert into test4 values ('Dallas',  'Caucasian', 'male', 38)
            insert into test4 values ('Dallas',  'Hispanic', 'female', 39)
            insert into test4 values ('Dallas',  'African-American', 'Unknown', 41)
            insert into test4 values ('Houston',  'Asian', 'male', 42)
            insert into test4 values ('Houston',  'Caucasian', 'female', 43)
            insert into test4 values ('Houston',  'Hispanic', 'Unknown', 44)
            insert into test4 values ('Houston',  'African-American', 'male', 45)
            insert into test4 values ('Houston',  'Asian', 'female', 46)
            insert into test4 values ('Houston',  'Caucasian', 'Unknown', 47)
            insert into test4 values ('Houston',  'Hispanic', 'male', 48)
            insert into test4 values ('Houston',  'African-American', 'female', 49)
            insert into test4 values ('Houston',  'Asian', 'Unknown', 51)
            insert into test4 values ('Houston',  'Caucasian', 'male', 52);

            WITH T AS (
            SELECT 
                  A.city as city, A.sex as sex,  
                  CASE
                        WHEN A.age BETWEEN 20 AND 30 THEN '20-30_' + race
                        WHEN A.age BETWEEN 31 AND 40 THEN '31-40_' + race
                        WHEN A.age BETWEEN 41 AND 50 THEN '41-50_' + race
                   END AS age_range_race
           FROM test4 AS A
           )
           SELECT  *
           FROM T
           PIVOT( COUNT(age_range_race) FOR age_range_race
               IN(
                  [20-30_African-American], 
                  [20-30_Asian], 
                  [20-30_Caucasian], 
                  [20-30_Hispanic],
                  [31-40_African-American], 
                  [31-40_Asian], 
                  [31-40_Caucasian], 
                  [31-40_Hispanic],
                  [41-50_African-American], 
                  [41-50_Asian], 
                  [41-50_Caucasian], 
                  [41-50_Hispanic]
                 )
            ) AS P

Я пытаюсь достичь этого результата

1 http://img853.imageshack.us/img853/8112/sqltotal.jpg

ЕдинственноеПримеры, которые я могу найти в Google - это хранимые процедуры, написанные для SQL 2000. Пожалуйста, помогите!Заранее спасибо

Ответы [ 2 ]

8 голосов
/ 07 марта 2012

Вот попробуй. 

WITH T AS (
            SELECT 
                  A.city as city, A.sex as sex,  
                  CASE
                        WHEN A.age BETWEEN 20 AND 30 THEN '20-30_' + race
                        WHEN A.age BETWEEN 31 AND 40 THEN '31-40_' + race
                        WHEN A.age BETWEEN 41 AND 50 THEN '41-50_' + race
                   END AS age_range_race
           FROM #test4 AS A
           )


SELECT  *, ([20-30_African-American] + [20-30_Asian] + [20-30_Caucasian]+ [20-30_Hispanic]+ [31-40_African-American]+ [31-40_Asian]+ [31-40_Caucasian]+ [31-40_Hispanic]+[41-50_African-American]+ [41-50_Asian]+ [41-50_Caucasian]+ [41-50_Hispanic]) Total
into #tmp_result
FROM T
PIVOT( COUNT(age_range_race) FOR age_range_race
   IN(
      [20-30_African-American], 
      [20-30_Asian], 
      [20-30_Caucasian], 
      [20-30_Hispanic],
      [31-40_African-American], 
      [31-40_Asian], 
      [31-40_Caucasian], 
      [31-40_Hispanic],
      [41-50_African-American], 
      [41-50_Asian], 
      [41-50_Caucasian], 
      [41-50_Hispanic]
     )
) AS P

select * 
from #tmp_result
union all
select 'Grand Total','',SUM([20-30_African-American]), SUM([20-30_Asian]), SUM([20-30_Caucasian]), SUM([20-30_Hispanic]),SUM([31-40_African-American]), SUM([31-40_Asian]), SUM([31-40_Caucasian]), SUM([31-40_Hispanic]),SUM([41-50_African-American]), SUM([41-50_Asian]), SUM([41-50_Caucasian]),SUM([41-50_Hispanic]), sum(Total)
from #tmp_result
2 голосов
/ 07 марта 2012

Пожалуйста, попробуйте как следует .. 

WITH T AS (
            SELECT 
                  A.city as city, A.sex as sex,  
                  CASE
                        WHEN A.age BETWEEN 20 AND 30 THEN '20-30_' + race
                        WHEN A.age BETWEEN 31 AND 40 THEN '31-40_' + race
                        WHEN A.age BETWEEN 41 AND 50 THEN '41-50_' + race
                   END AS age_range_race
           FROM #test4 AS A
           )


SELECT  *, ([20-30_African-American] + [20-30_Asian] + [20-30_Caucasian]+ [20-30_Hispanic]+ [31-40_African-American]+ [31-40_Asian]+ [31-40_Caucasian]+ [31-40_Hispanic]+[41-50_African-American]+ [41-50_Asian]+ [41-50_Caucasian]+ [41-50_Hispanic]) Total
FROM T
PIVOT( COUNT(age_range_race) FOR age_range_race
   IN(
      [20-30_African-American], 
      [20-30_Asian], 
      [20-30_Caucasian], 
      [20-30_Hispanic],
      [31-40_African-American], 
      [31-40_Asian], 
      [31-40_Caucasian], 
      [31-40_Hispanic],
      [41-50_African-American], 
      [41-50_Asian], 
      [41-50_Caucasian], 
      [41-50_Hispanic]
     )
) AS P
...