Using math function in HAVING : Group « Select Clause « SQL / MySQL

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SQL / MySQL » Select Clause » Group 
Using math function in HAVING

/*

mysql> SELECT OrderID, SUM(Quantity) AS Total
    -> FROM ArticleOrders
    -> GROUP BY OrderID
    -> HAVING Total>(SELECT AVG(Quantity) FROM ArticleOrders);
+---------+-------+
| OrderID | Total |
+---------+-------+
|     101 |     4 |
|     102 |     4 |
|     103 |     6 |
|     105 |     3 |
|     106 |     3 |
|     107 |     3 |
|     108 |     5 |
|     110 |     6 |
|     111 |     2 |
+---------+-------+
9 rows in set (0.05 sec)


*/

Drop table Articles;
Drop table Authors;
Drop table AuthorArticle;
Drop table ArticleOrders;


CREATE TABLE Articles (
   ArticleID SMALLINT NOT NULL PRIMARY KEY,
   ArticleTitle VARCHAR(60NOT NULL,
   Copyright YEAR NOT NULL
)
ENGINE=INNODB;


INSERT INTO Articles VALUES (12786'How write a paper', 1934),
                            (13331'Publish a paper', 1919),
                            (14356'Sell a paper', 1966),
                            (15729'Buy a paper', 1932),
                            (16284'Conferences', 1996),
                            (17695'Journal', 1980),
                            (19264'Information', 1992),
                            (19354'AI', 1993);


CREATE TABLE Authors (
   AuthID SMALLINT NOT NULL PRIMARY KEY,
   AuthorFirstName VARCHAR(20),
   AuthorMiddleName VARCHAR(20),
   AuthorLastName VARCHAR(20)
)
ENGINE=INNODB;


INSERT INTO Authors VALUES (1006'Henry', 'S.', 'Thompson'),
                           (1007'Jason', 'Carol', 'Oak'),
                           (1008'James', NULL, 'Elk'),
                           (1009'Tom', 'M''Ride'),
                           (1010'Jack', 'K''Ken'),
                           (1011'Mary', 'G.', 'Lee'),
                           (1012'Annie', NULL, 'Peng'),
                           (1013'Alan', NULL, 'Wang'),
                           (1014'Nelson', NULL, 'Yin');


CREATE TABLE AuthorArticle (
   AuthID SMALLINT NOT NULL,
   ArticleID SMALLINT NOT NULL,
   PRIMARY KEY (AuthID, ArticleID),
   FOREIGN KEY (AuthIDREFERENCES Authors (AuthID),
   FOREIGN KEY (ArticleIDREFERENCES Articles (ArticleID)
)
ENGINE=INNODB;


INSERT INTO AuthorArticle VALUES (100614356)
                              (100815729)
                              (100912786)
                              (101017695),
                              (101115729)
                              (101219264)
                              (101219354)
                              (101416284);
CREATE TABLE ArticleOrders
(
   OrderID SMALLINT NOT NULL,
   ArticleID SMALLINT NOT NULL,
   Quantity SMALLINT NOT NULL,
   PRIMARY KEY (OrderID, ArticleID),
   FOREIGN KEY (ArticleIDREFERENCES Articles (ArticleID)
)
ENGINE=INNODB;


INSERT INTO ArticleOrders VALUES (101133311)
                                 (101127861)
                                 (101162842)
                                 (102193541),
                                 (102157293)
                                 (103127862)
                                 (103192641)
                                 (103133311),
                                 (103143562)
                                 (104193541)
                                 (105157291)
                                 (105143562),
                                 (106162842)
                                 (106133311)
                                 (107127863)
                                 (108193541),
                                 (108162844)
                                 (109157291)
                                 (110133312)
                                 (110127862),
                                 (110143562)
                                 (111143562);
  
SELECT OrderID, SUM(QuantityAS Total
FROM ArticleOrders
GROUP BY OrderID
HAVING Total>(SELECT AVG(QuantityFROM ArticleOrders);



           
       
Related examples in the same category
1. Use GROUP BY clause to list only the unique data
2. Another GROUP BY
3. Use GROUP BY
4. GROUP BY with order and HAVING
5. Use GROUP BY 2
6. Use GROUP BY and ORDER BY together
7. Get GROUP BY for COUNT
8. Simple GROUP BY
9. GROUP and sort the records
10. GROUP value and count
11. Grouping Data: Filtering Group Data
12. Grouping Data: 03 Using the HAVING Clause 1
13. Grouping Data: Using the HAVING Clause 1
14. GROUP and HAVING with sub query
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