MySQL String Exercises: Update the portion of the phone_number in the employees table
MySQL String: Exercise-2 with Solution
Write a MySQL query to update the portion of the phone_number in the employees table, within the phone number the substring '124' will be replaced by '999'.
Sample table: employees
+-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+ | EMPLOYEE_ID | FIRST_NAME | LAST_NAME | EMAIL | PHONE_NUMBER | HIRE_DATE | JOB_ID | SALARY | COMMISSION_PCT | MANAGER_ID | DEPARTMENT_ID | +-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+ | 100 | Steven | King | SKING | 515.123.4567 | 1987-06-17 | AD_PRES | 24000.00 | 0.00 | 0 | 90 | | 101 | Neena | Kochhar | NKOCHHAR | 515.123.4568 | 1987-06-18 | AD_VP | 17000.00 | 0.00 | 100 | 90 | | 102 | Lex | De Haan | LDEHAAN | 515.123.4569 | 1987-06-19 | AD_VP | 17000.00 | 0.00 | 100 | 90 | | 103 | Alexander | Hunold | AHUNOLD | 590.423.4567 | 1987-06-20 | IT_PROG | 9000.00 | 0.00 | 102 | 60 | | 104 | Bruce | Ernst | BERNST | 590.423.4568 | 1987-06-21 | IT_PROG | 6000.00 | 0.00 | 103 | 60 | | 105 | David | Austin | DAUSTIN | 590.423.4569 | 1987-06-22 | IT_PROG | 4800.00 | 0.00 | 103 | 60 | | 106 | Valli | Pataballa | VPATABAL | 590.423.4560 | 1987-06-23 | IT_PROG | 4800.00 | 0.00 | 103 | 60 | | 107 | Diana | Lorentz | DLORENTZ | 590.423.5567 | 1987-06-24 | IT_PROG | 4200.00 | 0.00 | 103 | 60 | | 108 | Nancy | Greenberg | NGREENBE | 515.124.4569 | 1987-06-25 | FI_MGR | 12000.00 | 0.00 | 101 | 100 | .......... | 206 | William | Gietz | WGIETZ | 515.123.8181 | 1987-10-01 | AC_ACCOUNT | 8300.00 | 0.00 | 205 | 110 | +-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+
Code:
-- This SQL statement updates the 'phone_number' column in the 'employees' table.
-- It replaces any occurrence of the substring '124' in the 'phone_number' column with '999'.
-- The WHERE clause ensures that only rows with phone numbers containing '124' are updated.
UPDATE employees
SET phone_number = REPLACE(phone_number, '124', '999')
WHERE phone_number LIKE '%124%';
Explanation:
- The UPDATE statement modifies existing records in a table.
- In this case, it's updating the 'employees' table.
- The REPLACE() function is used to replace occurrences of one substring with another within a string.
- It's replacing '124' with '999' in the 'phone_number' column.
- The WHERE clause restricts the update to rows where the 'phone_number' column contains the substring '124', ensuring that only relevant phone numbers are changed.
Sample Output:
Here is the rows before update :
mysql> select * from empnew
-> WHERE phone_number LIKE '%124%';
+-------------+-------------+-------------+----------+--------------+------------+------------+----------+----------------+------------+---------------+
| EMPLOYEE_ID | FIRST_NAME | LAST_NAME | EMAIL | PHONE_NUMBER | HIRE_DATE | JOB_ID | SALARY | COMMISSION_PCT | MANAGER_ID | DEPARTMENT_ID |
+-------------+-------------+-------------+----------+--------------+------------+------------+----------+----------------+------------+---------------+
| 108 | Nancy | Greenberg | NGREENBE | 515.124.4569 | 2002-08-17 | FI_MGR | 12008.00 | 0.00 | 101 | 100 |
| 109 | Daniel | Faviet | DFAVIET | 515.124.4169 | 2002-08-16 | FI_ACCOUNT | 9000.00 | 0.00 | 108 | 100 |
| 110 | John | Chen | JCHEN | 515.124.4269 | 2005-09-28 | FI_ACCOUNT | 8200.00 | 0.00 | 108 | 100 |
| 111 | Ismael | Sciarra | ISCIARRA | 515.124.4369 | 2005-09-30 | FI_ACCOUNT | 7700.00 | 0.00 | 108 | 100 |
| 112 | Jose Manuel | Urman | JMURMAN | 515.124.4469 | 2006-03-07 | FI_ACCOUNT | 7800.00 | 0.00 | 108 | 100 |
| 113 | Luis | Popp | LPOPP | 515.124.4567 | 2007-12-07 | FI_ACCOUNT | 6900.00 | 0.00 | 108 | 100 |
| 125 | Julia | Nayer | JNAYER | 650.124.1214 | 2005-07-16 | ST_CLERK | 3200.00 | 0.00 | 120 | 50 |
| 126 | Irene | Mikkilineni | IMIKKILI | 650.124.1224 | 2006-09-28 | ST_CLERK | 2700.00 | 0.00 | 120 | 50 |
| 127 | James | Landry | JLANDRY | 650.124.1334 | 2007-01-14 | ST_CLERK | 2400.00 | 0.00 | 120 | 50 |
| 128 | Steven | Markle | SMARKLE | 650.124.1434 | 2008-03-08 | ST_CLERK | 2200.00 | 0.00 | 120 | 50 |
| 129 | Laura | Bissot | LBISSOT | 650.124.5234 | 2005-08-20 | ST_CLERK | 3300.00 | 0.00 | 121 | 50 |
| 130 | Mozhe | Atkinson | MATKINSO | 650.124.6234 | 2005-10-30 | ST_CLERK | 2800.00 | 0.00 | 121 | 50 |
| 131 | James | Marlow | JAMRLOW | 650.124.7234 | 2005-02-16 | ST_CLERK | 2500.00 | 0.00 | 121 | 50 |
| 132 | TJ | Olson | TJOLSON | 650.124.8234 | 2007-04-10 | ST_CLERK | 2100.00 | 0.00 | 121 | 50 |
+-------------+-------------+-------------+----------+--------------+------------+------------+----------+----------------+------------+---------------+
14 rows in set (0.00 sec)
and here is the rows after update :
mysql> select * from empnew
-> WHERE phone_number LIKE '%999%';
+-------------+-------------+-------------+----------+--------------+------------+------------+----------+----------------+------------+---------------+
| EMPLOYEE_ID | FIRST_NAME | LAST_NAME | EMAIL | PHONE_NUMBER | HIRE_DATE | JOB_ID | SALARY | COMMISSION_PCT | MANAGER_ID | DEPARTMENT_ID |
+-------------+-------------+-------------+----------+--------------+------------+------------+----------+----------------+------------+---------------+
| 108 | Nancy | Greenberg | NGREENBE | 515.999.4569 | 2002-08-17 | FI_MGR | 12008.00 | 0.00 | 101 | 100 |
| 109 | Daniel | Faviet | DFAVIET | 515.999.4169 | 2002-08-16 | FI_ACCOUNT | 9000.00 | 0.00 | 108 | 100 |
| 110 | John | Chen | JCHEN | 515.999.4269 | 2005-09-28 | FI_ACCOUNT | 8200.00 | 0.00 | 108 | 100 |
| 111 | Ismael | Sciarra | ISCIARRA | 515.999.4369 | 2005-09-30 | FI_ACCOUNT | 7700.00 | 0.00 | 108 | 100 |
| 112 | Jose Manuel | Urman | JMURMAN | 515.999.4469 | 2006-03-07 | FI_ACCOUNT | 7800.00 | 0.00 | 108 | 100 |
| 113 | Luis | Popp | LPOPP | 515.999.4567 | 2007-12-07 | FI_ACCOUNT | 6900.00 | 0.00 | 108 | 100 |
| 125 | Julia | Nayer | JNAYER | 650.999.1214 | 2005-07-16 | ST_CLERK | 3200.00 | 0.00 | 120 | 50 |
| 126 | Irene | Mikkilineni | IMIKKILI | 650.999.1224 | 2006-09-28 | ST_CLERK | 2700.00 | 0.00 | 120 | 50 |
| 127 | James | Landry | JLANDRY | 650.999.1334 | 2007-01-14 | ST_CLERK | 2400.00 | 0.00 | 120 | 50 |
| 128 | Steven | Markle | SMARKLE | 650.999.1434 | 2008-03-08 | ST_CLERK | 2200.00 | 0.00 | 120 | 50 |
| 129 | Laura | Bissot | LBISSOT | 650.999.5234 | 2005-08-20 | ST_CLERK | 3300.00 | 0.00 | 121 | 50 |
| 130 | Mozhe | Atkinson | MATKINSO | 650.999.6234 | 2005-10-30 | ST_CLERK | 2800.00 | 0.00 | 121 | 50 |
| 131 | James | Marlow | JAMRLOW | 650.999.7234 | 2005-02-16 | ST_CLERK | 2500.00 | 0.00 | 121 | 50 |
| 132 | TJ | Olson | TJOLSON | 650.999.8234 | 2007-04-10 | ST_CLERK | 2100.00 | 0.00 | 121 | 50 |
+-------------+-------------+-------------+----------+--------------+------------+------------+----------+----------------+------------+---------------+
14 rows in set (0.00 sec)
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