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The HAVING clause allows us to filter the data in each group after grouping.
The WHERE clause sets conditions on the selected columns, while the HAVING clause sets conditions on the groups created by the GROUP BY clause.
The position of the HAVING clause in the SELECT query is as follows:
SELECT FROM WHERE GROUP BY HAVING ORDER BY
The HAVING clause must be placed after the GROUP BY clause and before the ORDER BY clause in the SELECT statement. The basic syntax of the HAVING clause in the SELECT statement is as follows:
SELECT column1, column2 FROM table1, table2 WHERE [conditions] GROUP BY column1, column2 HAVING [ conditions ] ORDER BY column1, column2
Create COMPANY table (Download COMPANY SQL file ),data content is as follows:
w3codeboxdb# select * from COMPANY; id | name | age | address | salary ----+-------+-----+-----------+-------- 1 | Paul | 32 | California| 20000 2 | Allen | 25 | Texas | 15000 3 | Teddy | 23 | Norway | 20000 4 | Mark | 25 | Rich-Mond | 65000 5 | David | 27 | Texas | 85000 6 | Kim | 22 | South-Hall| 45000 7 | James | 24 | Houston | 10000 (7 rows)
The following example will find the records grouped by the NAME field value and name (name) The count of the field is less than 2 Data:
SELECT NAME FROM COMPANY GROUP BY name HAVING count(name) < 2;
The following results are obtained:
name ------- Teddy Paul Mark David Allen Kim James (7 rows)
We will add several data records to the table:
INSERT INTO COMPANY VALUES (8, 'Paul', 24, 'Houston', 20000.00); INSERT INTO COMPANY VALUES (9, 'James', 44, 'Norway', 5000.00); INSERT INTO COMPANY VALUES (10, 'James', 45, 'Texas', 5000.00);
At this time, the records of the COMPANY table are as follows:
id | name | age | address | salary ----+-------+-----+--------------+-------- 1 | Paul | 32 | California | 20000 2 | Allen | 25 | Texas | 15000 3 | Teddy | 23 | Norway | 20000 4 | Mark | 25 | Rich-Mond | 65000 5 | David | 27 | Texas | 85000 6 | Kim | 22 | South-Hall | 45000 7 | James | 24 | Houston | 10000 8 | Paul | 24 | Houston | 20000 9 | James | 44 | Norway | 5000 10 | James | 45 | Texas | 5000 (10 rows)
The following example will find the records grouped by the 'name' field value and the count of names is greater than 1 Data:
w3codeboxdb-# SELECT NAME FROM COMPANY GROUP BY name HAVING count(name) > 1;
The results obtained are as follows:
name ------- Paul James (2 rows)