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Advanced SQL Technics - SubQueries.sql
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250 lines (220 loc) · 6.18 KB
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/* ==============================================================================
SQL Subquery Functions
-------------------------------------------------------------------------------
This script demonstrates various subquery techniques in SQL.
It covers result types, subqueries in the FROM clause, in SELECT, in JOIN clauses,
with comparison operators, IN, ANY, correlated subqueries, and EXISTS.
Table of Contents:
1. SUBQUERY - RESULT TYPES
2. SUBQUERY - FROM CLAUSE
3. SUBQUERY - SELECT
4. SUBQUERY - JOIN CLAUSE
5. SUBQUERY - COMPARISON OPERATORS
6. SUBQUERY - IN OPERATOR
7. SUBQUERY - ANY OPERATOR
8. SUBQUERY - CORRELATED
9. SUBQUERY - EXISTS OPERATOR
===============================================================================
*/
/* ==============================================================================
SUBQUERY | RESULT TYPES
===============================================================================*/
/* Scalar Query */
SELECT
AVG(Sales)
FROM Sales.Orders;
/* Row Query */
SELECT
CustomerID
FROM Sales.Orders;
/* Table Query */
SELECT
OrderID,
OrderDate
FROM Sales.Orders;
/* ==============================================================================
SUBQUERY | FROM CLAUSE
===============================================================================*/
/* TASK 1:
Find the products that have a price higher than the average price of all products.
*/
-- Main Query
SELECT
*
FROM (
-- Subquery
SELECT
ProductID,
Price,
AVG(Price) OVER () AS AvgPrice
FROM Sales.Products
) AS t
WHERE Price > AvgPrice;
/* TASK 2:
Rank Customers based on their total amount of sales.
*/
SELECT
*,
RANK() OVER(ORDER BY Total_Sales DESC) AS RANKS
FROM(
SELECT
CustomerID,
SUM(Sales) AS Total_Sales
FROM Sales.Orders
GROUP BY CustomerID) AS T;
/* ==============================================================================
SUBQUERY | SELECT
===============================================================================*/
/* TASK 3:
Show the product IDs, product names, prices, and the total number of orders.
*/
SELECT
ProductID,
Product,
Price,
(SELECT COUNT(*) FROM Sales.Orders) AS Total_Orders
FROM Sales.Products;
/* ==============================================================================
SUBQUERY | JOIN CLAUSE
===============================================================================*/
/* TASK 4:
Show customer details along with their total sales.
*/
SELECT
C.*,
O.TotalOrders
FROM Sales.Customers AS C
LEFT JOIN
(SELECT
CustomerID,
COUNT(*) TotalOrders
FROM Sales.Orders
GROUP BY CustomerID) AS O
ON C.CustomerID = O.CustomerID;
/* TASK 5:
Show all customer details and the total orders of each customer.
*/
SELECT
C.*,
O.TotalOrder
FROM Sales.Customers AS C
LEFT JOIN
(
SELECT
CustomerID,
COUNT(Quantity) AS TotalOrder
FROM Sales.Orders
GROUP BY CustomerID
) AS O
ON C.CustomerID = O.CustomerID;
/* ==============================================================================
SUBQUERY | COMPARISON OPERATORS
===============================================================================*/
/* TASK 6:
Find the products that have a price higher than the average price of all products.
*/
SELECT
ProductID,
Price,
(SELECT AVG(PRICE) FROM Sales.Products) AS AVG_PRICE
FROM Sales.Products
WHERE Price > (SELECT AVG(PRICE) FROM Sales.Products);
/* ==============================================================================
SUBQUERY | IN OPERATOR
===============================================================================*/
/* TASK 7:
Show the details of orders made by customers in Germany.
*/
SELECT
*
FROM Sales.Orders
WHERE CustomerID IN
(SELECT
CustomerID
FROM Sales.Customers
WHERE Country IN ('Germany'));
/* TASK 8:
Show the details of orders made by customers not in Germany.
*/
SELECT
*
FROM Sales.Orders
WHERE CustomerID NOT IN
(SELECT
CustomerID
FROM Sales.Customers
WHERE Country = ('Germany'));
/* ==============================================================================
SUBQUERY | ANY OPERATOR
===============================================================================*/
/* TASK 9:
Find female employees whose salaries are greater than the salaries of any male employees.
*/
SELECT
EmployeeID,
CONCAT(FirstName, ' ', LastName) AS Full_Name,
Gender,
Salary
FROM Sales.Employees
WHERE
Gender = 'F'
AND
Salary > ANY (SELECT
Salary
FROM Sales.Employees
WHERE Gender = 'M');
/* TASK 10:
Find female employees whose salaries are greater than the salaries of ALL male employees.
*/
SELECT
EmployeeID,
CONCAT(FirstName, ' ', LastName) AS Full_Name,
Gender,
Salary
FROM Sales.Employees
WHERE
Gender = 'F'
AND
Salary > ALL (SELECT
Salary
FROM Sales.Employees
WHERE Gender = 'M');
/* ==============================================================================
CORRELATED SUBQUERY
===============================================================================*/
/* TASK 10:
Show all customer details and the total orders for each customer using a correlated subquery.
*/
SELECT
*,
(SELECT COUNT(*)
FROM Sales.Orders o
WHERE o.CustomerID = c.CustomerID) AS TotalSales
FROM Sales.Customers AS c;
/* ==============================================================================
SUBQUERY | EXISTS OPERATOR
===============================================================================*/
/* TASK 11:
Show the details of orders made by customers in Germany.
*/
SELECT
*
FROM Sales.Orders AS o
WHERE EXISTS (
SELECT 1
FROM Sales.Customers AS c
WHERE Country = 'Germany'
AND o.CustomerID = c.CustomerID
);
/* TASK 12:
Show the details of orders made by customers not in Germany.
*/
SELECT
*
FROM Sales.Orders AS o
WHERE NOT EXISTS (
SELECT 1
FROM Sales.Customers AS c
WHERE Country = 'Germany'
AND o.CustomerID = c.CustomerID
);