The SQL UPDATE JOIN statement allows us to update a table by using another table based on a specific condition. This is particularly useful when we have the latest data from an external system and need to update our primary table accordingly.
For example, let’s say we have a users table that needs to be updated with the latest information from a users_backup table. In such a case, we use an INNER JOIN between the target table and the source table using a common identifier, such as the user ID.
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SQL UPDATE JOIN Syntax
UPDATE users u
INNER JOIN users_backup ub
ON u.user_id = ub.user_id
SET u.user_name = ub.user_name,
u.email = ub.email
WHERE u.user_id IN (101, 102);
This query updates the users table with the latest user_name and email from the users_backup table where the user_id matches.
Using Multiple Tables in SQL UPDATE with JOIN
Let’s create two different tables, employees and employees_new, and perform an update operation using JOIN.
SELECT * FROM employees;
SELECT * FROM employees_new;
employees Table Before Update:
emp_id
emp_salary
emp_role
101
50000
Developer
102
60000
Designer
103
70000
Manager
104
80000
Director
employees_new Table Before Update:
emp_id
emp_salary
emp_role
103
75000
Senior Manager
104
85000
Senior Director
Updating Table Using JOIN
Now, letโs update the employees table with the latest salaries and roles from employees_new.
UPDATE employees e
INNER JOIN employees_new en
ON e.emp_id = en.emp_id
SET e.emp_salary = en.emp_salary,
e.emp_role = en.emp_role
WHERE e.emp_id IN (103, 104);
After executing the update, check the table contents:
SELECT * FROM employees;
employees Table After Update:
emp_id
emp_salary
emp_role
101
50000
Developer
102
60000
Designer
103
75000
Senior Manager
104
85000
Senior Director
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Conclusion
The SQL UPDATE JOIN statement is a powerful tool when you need to update one table using another. By using INNER JOIN, we can efficiently merge data and ensure that our database reflects the latest updates. This approach is commonly used in data synchronization, ETL processes, and enterprise applications to keep records accurate and up-to-date.
Start using UPDATE JOIN in your SQL queries to optimize your database updates effortlessly!
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