GROUP BY with order and HAVING : Group « Select Clause « SQL / MySQL

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SQL / MySQL » Select Clause » Group 
GROUP BY with order and HAVING

/*

mysql> select * from sales;
+-----+------------+--------+--------+--------+------+------------+
| num | name       | winter | spring | summer | fall | category   |
+-----+------------+--------+--------+--------+------+------------+
|   1 | Java       |   1067 |    200 |    150 |  267 | Holiday    |
|   2 | C          |    970 |    770 |    531 |  486 | Profession |
|   3 | JavaScript |     53 |     13 |     21 |  856 | Literary   |
|   4 | SQL        |    782 |    357 |    168 |  250 | Profession |
|   5 | Oracle     |    589 |    795 |    367 |  284 | Holiday    |
|   6 | MySQL      |    953 |    582 |    336 |  489 | Literary   |
|   7 | Cplus      |    752 |    657 |    259 |  478 | Literary   |
|   8 | Python     |     67 |     23 |     83 |  543 | Holiday    |
|   9 | PHP        |    673 |     48 |    625 |   52 | Profession |
+-----+------------+--------+--------+--------+------+------------+
9 rows in set (0.00 sec)

mysql> /* Using the following SELECT command with WHERE, GROUP BY and HAVING cla
uses, list the design_name or names in the Literary design_category that have wi
nter_sales over 700, in order of most sales to least sales.
mysql>  */
mysql> SELECT name, category, winter
    -> FROM sales
    -> WHERE category="Literary"
    -> GROUP BY winter DESC HAVING winter > 700;
+-------+----------+--------+
| name  | category | winter |
+-------+----------+--------+
| MySQL | Literary |    953 |
| Cplus | Literary |    752 |
+-------+----------+--------+
rows in set (0.00 sec)


*/
Drop table sales;
  
CREATE TABLE sales(
    num MEDIUMINT NOT NULL AUTO_INCREMENT,
    name CHAR(20),
    winter INT,
    spring INT,
    summer INT,
    fall INT,
    category CHAR(13),
    primary key(num)
)type=MyISAM;


insert into sales value(1'Java', 1067 200150267,'Holiday');
insert into sales value(2'C',970,770,531,486,'Profession');
insert into sales value(3'JavaScript',53,13,21,856,'Literary');
insert into sales value(4'SQL',782,357,168,250,'Profession');
insert into sales value(5'Oracle',589,795,367,284,'Holiday');
insert into sales value(6'MySQL',953,582,336,489,'Literary');
insert into sales value(7'Cplus',752,657,259,478,'Literary');
insert into sales value(8'Python',67,23,83,543,'Holiday');
insert into sales value(9'PHP',673,48,625,52,'Profession');

select from sales;


/* Using the following SELECT command with WHERE, GROUP BY and HAVING clauses, list the design_name or names in the Literary design_category that have winter_sales over 700, in order of most sales to least sales.
 */
SELECT name, category, winter
FROM sales
WHERE category="Literary"
GROUP BY winter DESC HAVING winter > 700;

           
       
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5. Use GROUP BY and ORDER BY together
6. Get GROUP BY for COUNT
7. Simple GROUP BY
8. GROUP and sort the records
9. GROUP value and count
10. Grouping Data: Filtering Group Data
11. Grouping Data: 03 Using the HAVING Clause 1
12. Grouping Data: Using the HAVING Clause 1
13. Using math function in HAVING
14. GROUP and HAVING with sub query
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