Top 10 Advanced SQL Queries for Beginners

Here are SQL queries along with examples:

1. UNION: combines the result set of two or more SELECT statements into a single result set. Example:

SELECT name FROM customers
UNION
SELECT name FROM suppliers;

2. INNER JOIN: combines only the matching rows from both tables into a single result set.

SELECT customers.name, orders.order_date
FROM customers
INNER JOIN orders
ON customers.id = orders.customer_id;

3. LEFT JOIN: combines all the rows from the left table and the matching rows from the right table into a single result set.

SELECT customers.name, orders.order_date
FROM customers
LEFT JOIN orders
ON customers.id = orders.customer_id;

4. RIGHT JOIN: combines all the rows from the right table and the matching rows from the left table into a single result set.

SELECT customers.name, orders.order_date
FROM customers
RIGHT JOIN orders
ON customers.id = orders.customer_id;

5. FULL OUTER JOIN: combines all the rows from both tables into a single result set, including non-matching rows.

SELECT customers.name, orders.order_date
FROM customers
FULL OUTER JOIN orders
ON customers.id = orders.customer_id;

6. SUBQUERY: a query within a query to extract data to use in the main query.

SELECT name, order_date
FROM orders
WHERE customer_id = (
  SELECT id
  FROM customers
  WHERE name = 'Tony Stark'
);

7. COUNT(): returns the number of rows in a result set.

SELECT COUNT(*)
FROM customers;

8. SUM(): returns the sum of values in a result set.

SELECT SUM(price)
FROM orders;

9. AVG(): returns the average of values in a result set.

SELECT AVG(price)
FROM orders;

10. MAX(): returns the maximum value in a result set.

SELECT MAX(price)
FROM orders;

These are just a few of the many advanced MySQL queries that are available. The specific queries used in a particular situation will depend on the needs of the application and the structure of the data being stored in the database.

Hope this helps!

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