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Sql: How to add total for children and adult?

Hello expert,


Table 1: PROFAIL

PROFAIL_ID | NAME  | GENDER | BIRTH_DATE         | PROFAIL_TYPE | RACE    | NATIONALITY
--------------------------------------------------------------------------------------
1	   | Andy  | M	    |2009-03-12 00:00:00 | A	       | Chinese | Local
2	   | Owen  | M	    |2005-05-22 00:00:00 | A 	       | Others  | Local
3	   | Abby  | F	    |2004-02-15 00:00:00 | A	       | Malay   | Local
4	   | Mimi  | F	    |2002-03-02 00:00:00 | A	       | Indian  | Local
5	   | Jason | M	    |1967-05-01 00:00:00 | A	       | Chinese | Local
6	   | Mandy | F	    |1961-12-12 00:00:00 | A	       | Others  | Local
7	   | Candy | F	    |1961-12-12 00:00:00 | A	       | Indian  | Local

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Table 2 : MATCH

MATCH_ID | PROFAIL_ID | MATCH | RESULT
--------------------------------------------
1	|  2	     |  A    | Good
2       |  4	     |  A    | Bad
3       |  3	     |  A    | Good 
4	|  2	     |  A    | Bad
5	|  5	     |  A    | Good 
6	|  7	     |  A    | Good 
7	|  6	     |  A    | Bad

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SQL Dump:-
-- ----------------------------
-- Table structure for "MATCH"
-- ----------------------------
DROP TABLE "MATCH";
CREATE TABLE "MATCH" (
"MATCH_ID" VARCHAR2(16 BYTE) NULL ,
"PROFAIL_ID" VARCHAR2(16 BYTE) NULL ,
"MATCH" VARCHAR2(16 BYTE) NULL ,
"RESULT" VARCHAR2(16 BYTE) NULL 
)
LOGGING
NOCOMPRESS
NOCACHE

;

-- ----------------------------
-- Records of MATCH
-- ----------------------------
INSERT INTO "MATCH" VALUES ('5', '5', 'A', 'Good ');
INSERT INTO "MATCH" VALUES ('6', '7', 'A', 'Good');
INSERT INTO "MATCH" VALUES ('7', '6', 'A', 'Bad');
INSERT INTO "MATCH" VALUES ('1', '2', 'A', 'Good');
INSERT INTO "MATCH" VALUES ('2', '4', 'A', 'Bad ');
INSERT INTO "MATCH" VALUES ('3', '3', 'A', 'Good');
INSERT INTO "MATCH" VALUES ('4', '2', 'A', 'Bad');

-- ----------------------------
-- Table structure for "PROFAIL"
-- ----------------------------
DROP TABLE "PROFAIL";
CREATE TABLE "PROFAIL" (
"PROFAIL_ID" VARCHAR2(16 BYTE) NOT NULL ,
"NAME" VARCHAR2(200 BYTE) NULL ,
"NATIONALITY" VARCHAR2(200 BYTE) NULL ,
"GENDER" VARCHAR2(16 BYTE) NULL ,
"BIRTH_DATE" DATE NULL ,
"PROFAIL_TYPE" VARCHAR2(16 BYTE) NULL ,
"RACE" VARCHAR2(16 BYTE) NULL 
)
LOGGING
NOCOMPRESS
NOCACHE

;

-- ----------------------------
-- Records of PROFAIL
-- ----------------------------
INSERT INTO "PROFAIL" VALUES ('1', 'Andy', 'Local', 'M', TO_DATE('2009-03-12 00:00:00', 'YYYY-MM-DD HH24:MI:SS'), 'A', 'Chinese');
INSERT INTO "PROFAIL" VALUES ('2', 'Owen', 'Local', 'M', TO_DATE('2005-05-22 00:00:00', 'YYYY-MM-DD HH24:MI:SS'), 'A', 'Others');
INSERT INTO "PROFAIL" VALUES ('3', 'Abby', 'Local', 'F', TO_DATE('2004-02-15 00:00:00', 'YYYY-MM-DD HH24:MI:SS'), 'A', 'Malay');
INSERT INTO "PROFAIL" VALUES ('4', 'Mimi', 'Local', 'F', TO_DATE('2002-03-02 00:00:00', 'YYYY-MM-DD HH24:MI:SS'), 'A', 'Indian');
INSERT INTO "PROFAIL" VALUES ('5', 'Jason', 'Local', 'M', TO_DATE('1967-05-01 00:00:00', 'YYYY-MM-DD HH24:MI:SS'), 'A', 'Chinese');
INSERT INTO "PROFAIL" VALUES ('6', 'Mandy', 'Local', 'F', TO_DATE('1961-12-12 00:00:00', 'YYYY-MM-DD HH24:MI:SS'), 'A', 'Others');
INSERT INTO "PROFAIL" VALUES ('7', 'Candy', 'Local', 'F', TO_DATE('1961-12-12 00:00:00', 'YYYY-MM-DD HH24:MI:SS'), 'A', 'Indian');

-- ----------------------------
-- Indexes structure for table PROFAIL
-- ----------------------------

-- ----------------------------
-- Primary Key structure for table "PROFAIL"
-- ----------------------------
ALTER TABLE "PROFAIL" ADD PRIMARY KEY ("PROFAIL_ID");

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Currently, my output is as follow :-
 User generated image
Below is my query :-
SELECT age_group,
       a_malay_m,
       a_malay_f,
       a_chinese_m,
       a_chinese_f,
       a_indian_m,
       a_indian_f,
       a_others_m,
       a_others_f,
       (a_malay_m + a_chinese_m + a_indian_m + a_others_m) a_total_m,
       (a_malay_f + a_chinese_f + a_indian_f + a_others_f) a_total_f,
       b_malay_m,
       b_malay_f,
       b_chinese_m,
       b_chinese_f,
       b_indian_m,
       b_indian_f,
       b_others_m,
       b_others_f,
       (b_malay_m + b_chinese_m + b_indian_m + b_others_m) b_total_m,
       (b_malay_f + b_chinese_f + b_indian_f + b_others_f) b_total_f
  FROM (SELECT   DECODE(GROUPING_ID(lo), 1, 'OVERALL TOTAL', lo) age_group,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_malay_m,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_malay_f,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_chinese_m,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_chinese_f,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_indian_m,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_indian_f,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_others_m,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_others_f,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_malay_m,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_malay_f,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_chinese_m,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_chinese_f,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_indian_m,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_indian_f,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_others_m,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_others_f
            FROM profail a
                JOIN match b
                    ON     a.profail_id = b.profail_id
                       AND profail_type = 'A'
                       AND nationality = 'Local'
                       AND match = 'A'
                RIGHT JOIN (SELECT 0 lo, 1 hi FROM DUAL
                            UNION ALL
                            SELECT 2, 6 FROM DUAL
                            UNION ALL
                            SELECT 7, 12 FROM DUAL
			    UNION ALL
                            SELECT 13, 18 FROM DUAL
			    UNION ALL
                            SELECT 19, 45 FROM DUAL
                            UNION ALL
                            SELECT 46, 59 FROM DUAL
                            UNION ALL
                            SELECT 60, 100 FROM DUAL)
                    ON FLOOR(MONTHS_BETWEEN(SYSDATE, birth_date) / 12) BETWEEN lo AND hi
        GROUP BY ROLLUP(lo)
        ORDER BY GROUPING_ID(lo), lo)

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Problem :  How to add the total for children and adult?

Output I want is as shown in the image below:-
 User generated image





Avatar of oleggold
oleggold
Flag of United States of America image

You need to add  another level :
DECODE(age_group, 1, 'child',2,'adult') age
...
then
 COUNT(CASE WHEN age= 'child'  THEN 1 END)
                     child_total,
 COUNT(CASE WHEN age= 'adult'  THEN 1 END)
                     adult_total,
Avatar of boon86

ASKER

I had tried the code. I get this error :- [Err] ORA-00904: "AGE": invalid identifier

SELECT age_group,
       a_malay_m,
       a_malay_f,
       a_chinese_m,
       a_chinese_f,
       a_indian_m,
       a_indian_f,
       a_others_m,
       a_others_f,
       (a_malay_m + a_chinese_m + a_indian_m + a_others_m) a_total_m,
       (a_malay_f + a_chinese_f + a_indian_f + a_others_f) a_total_f,
       b_malay_m,
       b_malay_f,
       b_chinese_m,
       b_chinese_f,
       b_indian_m,
       b_indian_f,
       b_others_m,
       b_others_f,
       (b_malay_m + b_chinese_m + b_indian_m + b_others_m) b_total_m,
       (b_malay_f + b_chinese_f + b_indian_f + b_others_f) b_total_f
  FROM (SELECT   DECODE(GROUPING_ID(lo), 1, 'OVERALL TOTAL', lo) age_group,
                 DECODE(age_group, 1, 'child',2,'adult') age,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_malay_m,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_malay_f,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_chinese_m,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_chinese_f,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_indian_m,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_indian_f,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_others_m,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_others_f,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_malay_m,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_malay_f,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_chinese_m,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_chinese_f,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_indian_m,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_indian_f,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_others_m,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_others_f,
                 COUNT(CASE WHEN age = 'child' THEN 1 END)
                     child_total,
                 COUNT(CASE WHEN age = 'adult' THEN 1 END)
                     adult_total
            FROM profail a
                JOIN match b
                    ON     a.profail_id = b.profail_id
                       AND profail_type = 'A'
                       AND nationality = 'Local'
                       AND match = 'A'
                RIGHT JOIN (SELECT 0 lo, 1 hi FROM DUAL
                            UNION ALL
                            SELECT 2, 6 FROM DUAL
                            UNION ALL
                            SELECT 7, 12 FROM DUAL
														UNION ALL
                            SELECT 13, 18 FROM DUAL
														UNION ALL
                            SELECT 19, 45 FROM DUAL
                            UNION ALL
                            SELECT 46, 59 FROM DUAL
                            UNION ALL
                            SELECT 60, 100 FROM DUAL)
                    ON FLOOR(MONTHS_BETWEEN(SYSDATE, birth_date) / 12) BETWEEN lo AND hi
        GROUP BY ROLLUP(lo)
        ORDER BY GROUPING_ID(lo), lo)

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Avatar of boon86

ASKER

bump
Avatar of OnALearningCurve
OnALearningCurve

Hi boon86,

try replacing:


COUNT(CASE WHEN age= 'child'  THEN 1 END)
                     child_total,
 COUNT(CASE WHEN age= 'adult'  THEN 1 END)
                     adult_total,


With:

COUNT(CASE WHEN age_group = 1 THEN 1 END)
                     child_total,
                 COUNT(CASE WHEN age_group = 2 THEN 1 END)
                     adult_total

Hope this helps,

Mar.
Avatar of boon86

ASKER

Hi Mar,

it show:


[Err] ORA-00904: "AGE_GROUP": invalid identifier


below is my query replaced with your suggested:

SELECT age_group,
       a_malay_m,
       a_malay_f,
       a_chinese_m,
       a_chinese_f,
       a_indian_m,
       a_indian_f,
       a_others_m,
       a_others_f,
       (a_malay_m + a_chinese_m + a_indian_m + a_others_m) a_total_m,
       (a_malay_f + a_chinese_f + a_indian_f + a_others_f) a_total_f,
       b_malay_m,
       b_malay_f,
       b_chinese_m,
       b_chinese_f,
       b_indian_m,
       b_indian_f,
       b_others_m,
       b_others_f,
       (b_malay_m + b_chinese_m + b_indian_m + b_others_m) b_total_m,
       (b_malay_f + b_chinese_f + b_indian_f + b_others_f) b_total_f
  FROM (SELECT   DECODE(GROUPING_ID(lo), 1, 'OVERALL TOTAL', lo) age_group,
                 DECODE(age_group, 1, 'child',2,'adult') age_group,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_malay_m,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_malay_f,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_chinese_m,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_chinese_f,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_indian_m,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_indian_f,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'M' AND result = 'Good' THEN 1 END)
                     a_others_m,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'F' AND result = 'Good' THEN 1 END)
                     a_others_f,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_malay_m,
                 COUNT(CASE WHEN race = 'Malay' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_malay_f,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_chinese_m,
                 COUNT(CASE WHEN race = 'Chinese' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_chinese_f,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_indian_m,
                 COUNT(CASE WHEN race = 'Indian' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_indian_f,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'M' AND result = 'Bad' THEN 1 END)
                     b_others_m,
                 COUNT(CASE WHEN race = 'Others' AND gender = 'F' AND result = 'Bad' THEN 1 END)
                     b_others_f,
                 COUNT(CASE WHEN age_group = 1 THEN 1 END)
                     child_total,
                 COUNT(CASE WHEN age_group = 2 THEN 1 END)
                     adult_total
            FROM profail a
                JOIN match b
                    ON     a.profail_id = b.profail_id
                       AND profail_type = 'A'
                       AND nationality = 'Local'
                       AND match = 'A'
                RIGHT JOIN (SELECT 0 lo, 1 hi FROM DUAL
                            UNION ALL
                            SELECT 2, 6 FROM DUAL
                            UNION ALL
                            SELECT 7, 12 FROM DUAL
														UNION ALL
                            SELECT 13, 18 FROM DUAL
														UNION ALL
                            SELECT 19, 45 FROM DUAL
                            UNION ALL
                            SELECT 46, 59 FROM DUAL
                            UNION ALL
                            SELECT 60, 100 FROM DUAL)
                    ON FLOOR(MONTHS_BETWEEN(SYSDATE, birth_date) / 12) BETWEEN lo AND hi
        GROUP BY ROLLUP(lo)
        ORDER BY GROUPING_ID(lo), lo)

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Then I'm not sure sorry,

I think it is something to do with the DECODE fields you have but I don't have a lot of experience with queries using ROLLUP.

Sorry I can't be any more help.
Try this...
the "trick" here is you need to use CUBE instead of ROLLUP,  CUBE will generate extra summaries you're not interested in though, so we need to filter down to just what you're really looking for.

SELECT *
  FROM (SELECT age_group,
               a_malay_m,
               a_malay_f,
               a_chinese_m,
               a_chinese_f,
               a_indian_m,
               a_indian_f,
               a_others_m,
               a_others_f,
               (a_malay_m + a_chinese_m + a_indian_m + a_others_m) a_total_m,
               (a_malay_f + a_chinese_f + a_indian_f + a_others_f) a_total_f,
               b_malay_m,
               b_malay_f,
               b_chinese_m,
               b_chinese_f,
               b_indian_m,
               b_indian_f,
               b_others_m,
               b_others_f,
               (b_malay_m + b_chinese_m + b_indian_m + b_others_m) b_total_m,
               (b_malay_f + b_chinese_f + b_indian_f + b_others_f) b_total_f
          FROM (SELECT DECODE(GROUPING_ID(lo), 1, 'OVERALL TOTAL', lo) age_group,
                       GROUPING_ID(lo) age_id,
                       CASE WHEN lo < 19 THEN 'Children' ELSE 'Adult' END child_adult,
                       COUNT(
                           CASE WHEN race = 'Malay' AND gender = 'M' AND result = 'Good' THEN 1 END
                       )
                           a_malay_m,
                       COUNT(
                           CASE WHEN race = 'Malay' AND gender = 'F' AND result = 'Good' THEN 1 END
                       )
                           a_malay_f,
                       COUNT(
                           CASE
                               WHEN race = 'Chinese' AND gender = 'M' AND result = 'Good' THEN 1
                           END
                       )
                           a_chinese_m,
                       COUNT(
                           CASE
                               WHEN race = 'Chinese' AND gender = 'F' AND result = 'Good' THEN 1
                           END
                       )
                           a_chinese_f,
                       COUNT(
                           CASE
                               WHEN race = 'Indian' AND gender = 'M' AND result = 'Good' THEN 1
                           END
                       )
                           a_indian_m,
                       COUNT(
                           CASE
                               WHEN race = 'Indian' AND gender = 'F' AND result = 'Good' THEN 1
                           END
                       )
                           a_indian_f,
                       COUNT(
                           CASE
                               WHEN race = 'Others' AND gender = 'M' AND result = 'Good' THEN 1
                           END
                       )
                           a_others_m,
                       COUNT(
                           CASE
                               WHEN race = 'Others' AND gender = 'F' AND result = 'Good' THEN 1
                           END
                       )
                           a_others_f,
                       COUNT(
                           CASE WHEN race = 'Malay' AND gender = 'M' AND result = 'Bad' THEN 1 END
                       )
                           b_malay_m,
                       COUNT(
                           CASE WHEN race = 'Malay' AND gender = 'F' AND result = 'Bad' THEN 1 END
                       )
                           b_malay_f,
                       COUNT(
                           CASE
                               WHEN race = 'Chinese' AND gender = 'M' AND result = 'Bad' THEN 1
                           END
                       )
                           b_chinese_m,
                       COUNT(
                           CASE
                               WHEN race = 'Chinese' AND gender = 'F' AND result = 'Bad' THEN 1
                           END
                       )
                           b_chinese_f,
                       COUNT(
                           CASE WHEN race = 'Indian' AND gender = 'M' AND result = 'Bad' THEN 1 END
                       )
                           b_indian_m,
                       COUNT(
                           CASE WHEN race = 'Indian' AND gender = 'F' AND result = 'Bad' THEN 1 END
                       )
                           b_indian_f,
                       COUNT(
                           CASE WHEN race = 'Others' AND gender = 'M' AND result = 'Bad' THEN 1 END
                       )
                           b_others_m,
                       COUNT(
                           CASE WHEN race = 'Others' AND gender = 'F' AND result = 'Bad' THEN 1 END
                       )
                           b_others_f
                  FROM profail a
                      JOIN match b
                          ON a.profail_id = b.profail_id
                         AND profail_type = 'A'
                         AND nationality = 'Local'
                         AND match = 'A'
                      RIGHT JOIN (SELECT 0 lo, 1 hi FROM DUAL
                                  UNION ALL
                                  SELECT 2, 6 FROM DUAL
                                  UNION ALL
                                  SELECT 7, 12 FROM DUAL
                                  UNION ALL
                                  SELECT 13, 18 FROM DUAL
                                  UNION ALL
                                  SELECT 19, 45 FROM DUAL
                                  UNION ALL
                                  SELECT 46, 59 FROM DUAL
                                  UNION ALL
                                  SELECT 60, 100 FROM DUAL)
                          ON FLOOR(MONTHS_BETWEEN(SYSDATE, birth_date) / 12) BETWEEN lo AND hi
                GROUP BY CUBE(lo, CASE WHEN lo < 19 THEN 'Children' ELSE 'Adult' END))
         WHERE child_adult IS NOT NULL OR age_group = 'OVERALL TOTAL'
        ORDER BY child_adult DESC NULLS LAST, age_group)

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Avatar of boon86

ASKER

User generated image
The age arrangement for 13 and 2 is nt correct and how do I rename the OVERALL for children and adult to my own name?
ASKER CERTIFIED SOLUTION
Avatar of Sean Stuber
Sean Stuber

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Avatar of boon86

ASKER

yes work perfect!!