SQL subqueries on employee Database: List the result in the ascending order of experience
SQL subqueries on employee Database: Exercise-15 with Solution
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15. From the following tables, write a SQL query to find those employees of grade 3 and 4 and work in the department of FINANCE or AUDIT and whose salary is more than the salary of ADELYN and experience is more than FRANK. Return complete information about the employees.
Sample table: employees
Sample table: department
Sample table: salary_grade
Sample Solution:
SELECT *
FROM employees e
WHERE e.dep_id IN
(SELECT d.dep_id
FROM department d
WHERE d.dep_name IN ('FINANCE',
'AUDIT') )
AND e.salary >
(SELECT salary
FROM employees
WHERE emp_name = 'ADELYN')
AND e.hire_date <
(SELECT hire_date
FROM employees
WHERE emp_name = 'FRANK')
AND e.emp_id IN
(SELECT e.emp_id
FROM employees e,
salary_grade s
WHERE e.salary BETWEEN s.min_sal AND s.max_sal
AND s.grade IN (3,
4) )
ORDER BY e.hire_date ASC;
Sample Output:
emp_id | emp_name | job_name | manager_id | hire_date | salary | commission | dep_id --------+----------+----------+------------+------------+---------+------------+-------- 65646 | JONAS | MANAGER | 68319 | 1991-04-02 | 2957.00 | | 2001 67832 | CLARE | MANAGER | 68319 | 1991-06-09 | 2550.00 | | 1001 (2 rows)
Practice Online
Structure of employee Database
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Previous: From the following table, write a SQL query to find those employees who are senior to BLAZE and working at PERTH or BRISBANE. Return complete information about the employees.
Next: From the following table, write a SQL query to find those employees whose designation is same as the designation of SANDRINE or ADELYN. Return complete information about the employees.
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SQL: Tips of the Day
SQL Server SELECT into existing table.
INSERT INTO dbo.TABLETWO SELECT col1, col2 FROM dbo.TABLEONE WHERE col3 LIKE @search_key
This assumes there's only two columns in dbo.TABLETWO - you need to specify the columns otherwise:
INSERT INTO dbo.TABLETWO (col1, col2) SELECT col1, col2 FROM dbo.TABLEONE WHERE col3 LIKE @search_key
Database: SQL Server
Ref: https://bit.ly/3y6tpA3
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