Mini-Project for CLP SQL E2 - ORACLE SQL Fresco Play Handson Solution Hacker Rank

"Explore SQL DDL and DML queries in our guide. Learn how to define and manipulate database structures efficiently with practical examples. #SQL #DB

Welcome to CLP - ORACLE SQL - Self Paced - Assessment only - E2

LAB 1. SQL - Employee Query

Solution 1: SQL - Employee Query

/*
Instruction:
Consider the tables in your schema
EMPLOYEE: DEPT_ID, EMP_ACTIVEFROM, EMP_DOB, EMP_FNAME, EMP_ID, EMP_LNAME, EMP_SAL, EMP_STATUS,
EMP_TERMINATIONDATE, LOC_ID, MGR_ID

LOCATION:  CITY, COUNTRY, LOC_ID, STATE

DEPARTMENT:  DEPT_HEAD, DEPT_ID, DEPT_NAME 


Write an SQL query to display the details of Active employees .The output should be sorted in descending order based
on employee-id column. Use required filter to fetch only first 15 records

Output format is as follows :-
employee id,emp Name, city,state, country,salary,activeDate, status, Department name, manager name

EmpName:- Concatenate firstname and lastName with space character and use required string functions to fetch
only first 10 letters from EmpName
manager name :- Display first name and Last Name (separate firstname and lastName with space char)
*/

/*
Enter your query below.
Please append a semicolon ";" at the end of the query
*/

SELECT 
    e.EMP_ID AS "employee id",
    SUBSTR(CONCAT(e.EMP_FNAME, ' ', e.EMP_LNAME), 1, 10) AS "emp Name",
    l.CITY AS "city",
    l.STATE AS "state",
    l.COUNTRY AS "country",
    e.EMP_SAL AS "salary",
    e.EMP_ACTIVEFROM AS "activeDate",
    e.EMP_STATUS AS "status",
    d.DEPT_NAME AS "Department name",
    CONCAT(m.EMP_FNAME, ' ', m.EMP_LNAME) AS "manager name"
FROM 
    EMPLOYEE e
JOIN 
    LOCATION l ON e.LOC_ID = l.LOC_ID
JOIN 
    DEPARTMENT d ON e.DEPT_ID = d.DEPT_ID
LEFT JOIN 
    EMPLOYEE m ON e.MGR_ID = m.EMP_ID
WHERE 
    e.EMP_STATUS = 'Active'
ORDER BY 
    e.EMP_ID DESC
LIMIT 15;


Lab 2: SQL- Highest salary in each department

Solution: Highest salary in each department

/*
Consider the tables in your schema

EMPLOYEE : DEPT_ID, EMP_ACTIVEFROM, EMP_DOB, EMP_FNAME, EMP_ID, EMP_LNAME, EMP_SAL,EMP_STATUS, EMP_TERMINATIONDATE, LOC_ID, MGR_ID

LOCATION: CITY, COUNTRY, LOC_ID, STATE

DEPARTMENT: DEPT_HEAD, DEPT_ID, DEPT_NAME
 

Write an SQL query to find the Active employees who is getting highest salary in each department . Display the record only if highest salary is more than 50000.

Display the fields - employee id, first name, Last name, city,state,salary,dept name
*/

/*Solution Oracle:*/

SET NULL "NULL";
SET FEEDBACK OFF;
SET ECHO OFF;
SET HEADING OFF;
SET WRAP OFF;
SET LINESIZE 10000;
SET TAB OFF;
SET PAGES 0;
SET DEFINE OFF;

/*
Enter your query below.
Please append a semicolon ";" at the end of the query
*/
WITH MaxSalaries AS (
    SELECT 
        e.DEPT_ID,
        MAX(e.EMP_SAL) AS MAX_SALARY
    FROM 
        EMPLOYEE e
    WHERE 
        e.EMP_STATUS = 'Active'
    GROUP BY 
        e.DEPT_ID
    HAVING 
        MAX(e.EMP_SAL) > 50000
)
SELECT 
    e.EMP_ID AS "employee id",
    e.EMP_FNAME AS "first name",
    e.EMP_LNAME AS "last name",
    l.CITY AS "city",
    l.STATE AS "state",
    e.EMP_SAL AS "salary",
    d.DEPT_NAME AS "dept name"
FROM 
    EMPLOYEE e
JOIN 
    MaxSalaries ms ON e.DEPT_ID = ms.DEPT_ID AND e.EMP_SAL = ms.MAX_SALARY
JOIN 
    LOCATION l ON e.LOC_ID = l.LOC_ID
JOIN 
    DEPARTMENT d ON e.DEPT_ID = d.DEPT_ID
WHERE 
    e.EMP_STATUS = 'Active';


exit;

Lab 3: SOL- Amount larger than allotted

Solution: SOL- Amount larger than allotted

/*
Consider the tables in your schema:

EMP : emp_id, emp_name, hire_date, job_name, salary, status

Allotment : dpt_allotment, dpt_code, dpt_name, manager_id

Write an SQL query to list departments which alloted amount is larger than the average alloted
amount of all the departments and exclude the departments

1. If the manager is in INACTIVE state
2. The dept_code is in between 20-30
3. Manager Name starts with 'T'

Output format is as given below

Dpt_code, Dpt_name,Dpt_allotment,Manager Name
*/

/*
Enter your query below.
Please append a semicolon ";" at the end of the query
*/


-- Step 1: Calculate the average allotment
WITH AverageAllotment AS (
    SELECT 
        AVG(dpt_allotment) AS avg_allotment
    FROM 
        allotment
),

-- Step 2: List departments with allotment greater than average and apply filters
FilteredDepartments AS (
    SELECT 
        a.dpt_code,
        a.dpt_name,
        a.dpt_allotment,
        e.emp_name AS manager_name
    FROM 
        allotment a
    JOIN 
        emp e ON a.manager_id = e.emp_id
    JOIN 
        AverageAllotment aa ON a.dpt_allotment > aa.avg_allotment
    WHERE 
        e.status != 'INACTIVE'
        AND a.dpt_code NOT BETWEEN 20 AND 30
        AND e.emp_name NOT LIKE 'T%'
)

-- Step 3: Select the final filtered results
SELECT 
    dpt_code,
    dpt_name,
    dpt_allotment,
    manager_name
FROM 
    FilteredDepartments;

Lab 4: SQL - Commission and Netpay

Solution: SQL - Commission and Netpay

/*
Schema consists of below table :-

employees : commission, dep_id, emp_id, emp_name, hire_date, job_name, manager_id, salary


manager : manager_id,manager_name,experience

Write an SQL Query to display employee records whose netpay is more than any other employee.

Columns to b e displayed :- name, salary, commission, netpay , Manager name. Exclude the records if
manager_id is NULL.

NetPay needs to be calculated using commission and Salary (ie, salary+commission=netpay).

Solution Oracle:
*/

/*
Enter your query below.
Please append a semicolon ";" at the end of the query
*/

WITH EmployeeNetPay AS (
    SELECT emp_id,emp_name,salary,commission,
    (salary + NVL(commission, 0)) AS netpay,manager_id
    FROM 
        employees
    WHERE 
        manager_id IS NOT NULL
),
MaxNetPay AS (
    SELECT  Min(netpay) AS max_netpay
    FROM 
        EmployeeNetPay
)
SELECT 
    e.emp_name AS "name",
    e.salary,
    e.commission,
    e.netpay,
    m.manager_name
FROM 
    EmployeeNetPay e
JOIN 
    MaxNetPay mnp ON e.netpay > mnp.max_netpay
JOIN 
    manager m ON e.manager_id = m.manager_id;

exit;

About the Author

I'm a professor at National University's Department of Computer Science. My main streams are data science and data analysis. Project management for many computer science-related sectors. Next working project on Al with deep Learning.....

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