Found 4219 Articles for MySQLi

With the help of ALTER EVENT statement along with the RENAME keyword, we can RENAME an existing event. To illustrate it we are having the following example in which we are renaming the event ‘Hello’ to ‘Hello_renamed’ −Examplemysql> ALTER EVENT Hello RENAME TO Hello_renamed; Query OK, 0 rows affected (0.00 sec)To confirm that event has been renamed we can try to delete the event with the old name, MySQL will throw an error as follows −mysql> DROP EVENT hello; ERROR 1539 (HY000): Unknown event 'hello'

With the help of ALTER EVENT statement along with the ENABLE and DISABLE keyword, we can ENABLE and DISABLE the event. To illustrate it we are having the following example −Examplemysql> ALTER EVENT hello DISABLE; Query OK, 0 rows affected (0.00 sec)The above query will DISABLE the event named ‘Hello’ and the query below will enable it.mysql> ALTER EVENT hello ENABLE; Query OK, 0 rows affected (0.00 sec)

With the help of ALTER EVENT statement, we can modify an existing MySQL event. We can change the various attributes of an event. ALTER EVENT has the following syntax −   ALTER EVENT event_name     ON SCHEDULE schedule ON COMPLETION [NOT] PRESERVE   RENAME TO new_event_name     ENABLE | DISABLE            DO        event_bodyTo understand it we are illustrating the example as below −ExampleSuppose we have an event as follows −mysql> Create event hello ON SCHEDULE EVERY 1 Minute DO INSERT INTO event_messages(message, generated_at) Values ('Alter event testing', NOW()); Query OK, 0 rows ... Read More

We need to use the DROP statement to delete an existing MySQL event permanently. To illustrate it we are deleting the event named testing_event as follows −Examplemysql> DROP EVENT testing_event; Query OK, 0 rows affected (0.00 sec)

Since we cannot use the INTERSECT query in MySQL, we will use the EXIST operator to simulate the INTERSECT query. It can be understood with the help of the following example −ExampleIn this example, we are two tables namely Student_detail and Student_info having the following data −mysql> Select * from Student_detail; +-----------+---------+------------+------------+ | studentid | Name    | Address    | Subject    | +-----------+---------+------------+------------+ |       101 | YashPal | Amritsar   | History    | |       105 | Gaurav  | Chandigarh | Literature | |       130 | Ram     ... Read More

Since we cannot use INTERSECT query in MySQL, we will use IN operator to simulate the INTERSECT query. It can be understood with the help of the following example −ExampleIn this example, we are two tables namely Student_detail and Student_info having the following data −mysql> Select * from Student_detail; +-----------+---------+------------+------------+ | studentid | Name    | Address    | Subject    | +-----------+---------+------------+------------+ |       101 | YashPal | Amritsar   | History    | |       105 | Gaurav  | Chandigarh | Literature | |       130 | Ram     | Jhansi ... Read More

Since we cannot use INTERSECT query in MySQL, we will use IN operator to simulate the INTERSECT query. It can be understood with the help of the following example −ExampleIn this example, we are two tables namely Student_detail and Student_info having the following data −mysql> Select * from Student_detail; +-----------+---------+------------+------------+ | studentid | Name    | Address    | Subject    | +-----------+---------+------------+------------+ | 101       | YashPal | Amritsar   | History    | | 105       | Gaurav  | Chandigarh | Literature | | 130       | Ram     | Jhansi ... Read More

To understand this concept, we are using the data from table ‘Details_city’ as follows −mysql> Select * from details_city; +--------+--------+ | City1  | City2  | +--------+--------+ | Delhi  | Nagpur | | Delhi  | Mumbai | | Nagpur | Delhi  | | Katak  | Delhi  | | Delhi  | Katak  | +--------+--------+ 5 rows in set (0.00 sec)Now, the following query will delete the reverse duplicate values from details_city table −mysql> Select a.city1,a.city2 from details_city a WHERE a.city1

To understand this concept, we are using the data from table ‘emp_tbl’ as follows −mysql> Select * from emp_tbl; +--------+------------+ | Name   | DOB        | +--------+------------+ | Gaurav | 1984-01-17 | | Gaurav | 1990-01-17 | | Rahul  | 1980-05-22 | | Gurdas | 1981-05-25 | | Naveen | 1991-04-25 | | Sohan  | 1987-12-26 | +--------+------------+ 6 rows in set (0.00 sec) mysql> SELECT Name, SYSDATE(), DOB, DATEDIFF(SYSDATE(), DOB)/365 AS AGE from emp_tbl WHERE(DATEDIFF(SYSDATE(), DOB)/365)>30; +--------+---------------------+------------+---------+ | Name   | SYSDATE()           | DOB        | AGE   ... Read More

To understand this concept, we are using the data from table ‘Salary’ as follows −mysql> Select * from Salary; +--------+--------+ | Name   | Salary | +--------+--------+ | Gaurav |  50000 | | Rahul  |  40000 | | Ram    |  45000 | | Raman  |  45000 | +--------+--------+ 4 rows in set (0.00 sec) mysql> Select * from salary12345 order by salary DESC limit 1 offset 1; +-------+--------+ | name  | Salary | +-------+--------+ | Raman |  45000 | +-------+--------+ 1 row in set (0.00 sec)