`Complete-SQL`

Table of Contents 📋

SNo.	Topic	Sub Topic
1.	Retrieving Data From a Single Table	SELECT Clause WHERE Clause AND, OR & NOT Operators IN Operators BETWEEN Operators LIKE Operators REGEXP Operators IS NULL Operators ORDER BY Operators LIMIT Clause
2.	Retrieving Data From a Multiple Table	INNER Joins Joining Across Databases Self Joins Joining Multiple Tables Compound Join Conditions Implicit Join Syntax OUTER Joins Outer Join Between Multiple Tables Self Outer Joins The USING Clause NATURAL Joins CROSS Joins UNIONS
3.	Inserting, Updating, and Deleting Data

1. Retrieving Data From a Single Table

1.1 SELECT Clause

SELECT *
FROM customers;

customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT first_name, last_name
FROM customers;

first_name	last_name

SELECT 
  first_name, 
  last_name,
  points,
  (points % 10) AS 'discount factor'
FROM customers;

first_name	last_name	points	discount factor

Exercise

Return All the Products
- name
- unit price
- new price (unit price * 1.1)
Solution
```
SELECT 
  name,
  unit_price,
  (unit_price * 1.1) AS new_price
FROM products;
```
name unit_price new_price

1.2 WHERE Clause
```
SELECT *
FROM customers
WHERE points > 3000;
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE state = 'va';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE birth_date > '1990-01-01';
```
customer_id first_name last_name points state phone_no birth_date

Exercise
- Get the orders places this years
  
  Solution
```
SELECT *
FROM orders
WHERE order_date >= '2022-01-01';
```
  order_id customer_id first_name last_name points status order_date

1.3 AND, OR & NOT Operators

SELECT *
FROM customers
WHERE birth_date > '1990-01-01' AND points > 1000;

customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT *
FROM customers
WHERE birth_date > '1990-01-01' OR points > 1000 AND state = 'va';

customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT *
FROM customers
WHERE NOT (birth_date > '1990-01-01' OR points > 1000);

SELECT *
FROM customers
WHERE birth_date <= '1990-01-01' AND points <= 1000;

customer_id	first_name	last_name	points	state	phone_no	birth_date

Exercise

From the order_items table, get the item
- For order #6
- where the total price is greater than 30
Solution
```
SELECT *
FROM order_items
WHERE order_id = 6 AND unit_price * quantity > 30;
```
order_id product_id unit_price quantity order_item

1.4 IN Operators

SELECT *
FROM customers
WHERE state = 'va' OR state = 'ga' OR state = 'fl';

SELECT *
FROM customers
WHERE state IN ('va', 'ga', 'fl');

customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT *
FROM customers
WHERE state NOT IN ('va', 'ga', 'fl');

customer_id	first_name	last_name	points	state	phone_no	birth_date

Exercise

Return products with
- quantity in stock equal to 49, 38, 72
Solution
```
SELECT *
FROM products
WHERE quantity_in_stock IN (49, 38, 72);
```
order_id product_id unit_price quantity_in_stocks order_item

1.5 BETWEEN Operators

SELECT *
FROM customers
WHERE points >= 1000 AND points <= 3000;

SELECT *
FROM customers
WHERE points BETWEEN 1000 AND 3000;

customer_id	first_name	last_name	points	state	phone_no	birth_date

Exercise

Return customers born
- between 1/1/1990 AND 1/1/2000
Solution
```
SELECT *
FROM customers
WHERE birth_date BETWEEN '1990-01-01` AND `2000-01-01`;
```
customer_id first_name last_name points state phone_no birth_date

1.6 LIKE Operators
- % -----> Any number of characters
- _ -----> Single Character
```
SELECT *
FROM customers
WHERE last_name LIKE 'b%';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name LIKE 'brush%';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name LIKE '%b%';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name LIKE '%y';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name LIKE '_y';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name LIKE '_______y';  
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name LIKE 'b_______y';  
```
customer_id first_name last_name points state phone_no birth_date

Exercise
- Get the customers whose
  - addresses contain TRAIL or AVENUE
  - phone number end with 9
  Solution
  - addresses contain TRAIL or AVENUE
```
SELECT *
FROM customers
WHERE 
   address LIKE '%trail%' OR 
   address LIKE '%avenue%';  
```
  customer_id first_name last_name points address phone_no birth_date
  - phone number end with 9
```
SELECT *
FROM customers
WHERE  phone_no LIKE '%9';  
```
  customer_id first_name last_name points address phone_no birth_date
1.7 REGEXP Operators
- ^ -----> beginning
- $ -----> end
- | -----> logical or
- [gim]e -----> ge, ie, me
- e[faq] -----> ef, ea, eq
- [a-f]g -----> ag, bg, cg, dg, eg, fg
```
SELECT *
FROM customers
WHERE last_name LIKE '%brush%';
```
```
SELECT *
FROM customers
WHERE last_name REGEXP 'brush';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name REGEXP '^brush';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name REGEXP 'brush$';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name REGEXP 'brush|mac';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name REGEXP 'brush|mac|field';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name REGEXP '^brush|mac|field';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name REGEXP 'brush$|mac|field';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name REGEXP '[gim]e';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name REGEXP 'e[abc]';
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE last_name REGEXP '[a-h]e';
```
customer_id first_name last_name points state phone_no birth_date

Exercise
- Get the customers whose
  - first names are ELKA or AMAR
  - last names end with EY or ON
  - last names start with MY or contains SE
  - last names contain B followed by R or U
  Solution
  - first names are ELKA or AMAR
```
SELECT *
FROM customers
WHERE first_name REGEXP 'elka | amar';
```
  customer_id first_name last_name points state phone_no birth_date
  - last names end with EY or ON
```
SELECT *
FROM customers
WHERE last_name REGEXP 'ey$ | on$';
```
  customer_id first_name last_name points state phone_no birth_date
  - last names start with MY or contains SE
```
SELECT *
FROM customers
WHERE last_name REGEXP '^my | se';
```
  customer_id first_name last_name points state phone_no birth_date
  - last names contain B followed by R or U
```
SELECT *
FROM customers
WHERE last_name REGEXP 'b[ru]';
```
```
SELECT *
FROM customers
WHERE last_name REGEXP 'br | bu';
```
  customer_id first_name last_name points state phone_no birth_date
1.8 IS NULL Operators
```
SELECT *
FROM customers
WHERE phone_no IS NULL;
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
WHERE phone_no IS NOT NULL;
```
customer_id first_name last_name points state phone_no birth_date

Exercise
- Get the orders that are not shipped
  
  Solution
```
SELECT *
FROM orders
WHERE shipped_date IS NULL;
```
  order_id customer_id first_name last_name points status shipped_date order_date

1.9 ORDER BY Operators

SELECT *
FROM customers
ORDER BY first_name;

customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT *
FROM customers
ORDER BY first_name DESC;

customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT *
FROM customers
ORDER BY first_name, state;

customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT *
FROM customers
ORDER BY first_name DESC, state DESC;

customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT first_name, last_name
FROM customers
ORDER BY birth_date;

first_name	last_name

SELECT first_name, last_name, 10 AS points
FROM customers
ORDER BY first_name, points;

SELECT first_name, last_name, 10 AS points
FROM customers
ORDER BY 1, 3;

first_name	last_name	points

1.10 LIMIT Clause
- LIMIT 6 -----> print first 6 rows(1, 2, 3, 4, 5, 6)
- LIMIT 6, 3 -----> Skip first 6 rows(1, 2, 3, 4, 5, 6) then print 3 rows(7, 8, 9)
```
SELECT *
FROM customers
LIMIT 6;
```
customer_id first_name last_name points state phone_no birth_date
```
SELECT *
FROM customers
LIMIT 6, 3;
```
customer_id first_name last_name points state phone_no birth_date

Exercise
- Get the top three loyal customers
  
  Solution
```
SELECT *
FROM customers
ORDER BY points DESC
LIMIT 3;
```
  customer_id first_name last_name points state phone_no birth_date

2. Retrieving Data From a Multiple Table

2.1 INNER Joins

In INNER JOIN keyword, INNER is optional both INNER JOIN & JOIN are same

SELECT *
FROM orders
INNER JOIN customers
   ON orders.customer_id = customers.customer_id;

SELECT *
FROM orders
JOIN customers
   ON orders.customer_id = customers.customer_id;

order_id	customer_id	orderr_date	status	comments	customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT order_id, first_name, last_name
FROM orders
JOIN customers
   ON orders.customer_id = customers.customer_id;

order_id	first_name	last_name

SELECT order_id, customer_id, first_name, last_name
FROM orders
JOIN customers
   ON orders.customer_id = customers.customer_id;

`Error ⬆` `because of customer_id`

SELECT order_id, orders.customer_id, first_name, last_name
FROM orders
JOIN customers
   ON orders.customer_id = customers.customer_id;

SELECT order_id, o.customer_id, first_name, last_name
FROM orders o
JOIN customers c
   ON o.customer_id = c.customer_id;

order_id	customer_id	first_name	last_name

Exercise

JOIN the order_items table with products table

each order returns all product_id as well as its name follewed by quantity and unit price from order_items table

Solution

SELECT *
FROM order_items oi
JOIN products p
   ON oi.product_id = p.product_id;

order_id	product_id	quantity	unit_price	name	quantity_in_stock	unit_price

SELECT order_id, oi.product_id, quantity, unit_price
FROM order_items oi
JOIN products p
   ON oi.product_id = p.product_id;

both unit_price are different

order_id	product_id	quantity	unit_price	unit_price

SELECT order_id, oi.product_id, quantity, oi.unit_price
FROM order_items oi
JOIN products p
   ON oi.product_id = p.product_id;

order_id	product_id	quantity	unit_price

2.2 Joining Across Databases

USE sql_store;

SELECT *
FROM order_items oi
JOIN sql_inventory.products p
   ON oi.product_id = p.product_id;

USE sql_inventory;

SELECT *
FROM sql_store.order_items oi
JOIN products p
   ON oi.product_id = p.product_id;

order_id	product_id	quantity	unit_price	product_id	name	quantity_in_stock	unit_price

2.3 Self Joins

USE sql_hr;

SELECT *
FROM employees e
JOIN employees m
   ON e.reports_to = m.employee_id;

employee_id	first_name	last_name	job_title	salary	reports_to	office_id	employee_id	first_name	last_name	job_title	salary	reports_to	office_id

USE sql_hr;

SELECT 
   e.employee_id,
   e.first_name,
   m.first_name
FROM employees e
JOIN employees m
   ON e.reports_to = m.employee_id;

employee_id	first_name	first_name

USE sql_hr;

SELECT 
   e.employee_id,
   e.first_name,
   m.first_name AS manager
FROM employees e
JOIN employees m
   ON e.reports_to = m.employee_id;

employee_id	first_name	manager

2.4 Joining Multiple Tables

USE sql_store;

SELECT *
FROM orders o
JOIN customers c
   ON o.customer_id = c.customer_id
JOIN order_statuses os
   ON o.status = os.order_status_id;

order_id	customer_id	order_date	status	order_status_id	comments	customer_id	first_name	last_name	points	state	phone_no	birth_date

USE sql_store;

SELECT 
   o.order_id,
   o.order_date,
   c.first_name,
   c.last_name,
   os.name AS status
FROM orders o
JOIN customers c
   ON o.customer_id = c.customer_id
JOIN order_statuses os
   ON o.status = os.order_status_id;

order_id	order_date	first_name	last_name	status

2.5 Compound Join Conditions

SELECT *
FROM order_items oi
JOIN order_item_notes oin
   ON oi.order_id = oin.order_id
   AND oi.product_id = oin.product_id;

order_id	product_id	order_date	status	comments	product_id	first_name	last_name	points	state	phone_no	birth_date

2.6 Implicit Join Syntax
- Explicit Inner Join Syntax
```
SELECT *
FROM orders o
JOIN customers c
   ON o.customer_id = c.customer_id;
```
- Implicit Inner Join Syntax
```
SELECT *
FROM orders o, customers c
WHERE o.customer_id = c.customer_id;
```
order_id customer_id orderr_date status comments customer_id first_name last_name points state phone_no birth_date

2.7 OUTER Joins

OUTER Joins are two types
- LEFT OUTER JOIN
- RIGHT OUTER JOIN
And here also OUTER keyword is optional so write syntax as
- LEFT JOIN
- RIGHT JOIN

SELECT *
FROM orders o
LEFT OUTER JOIN customers c
   ON o.customer_id = c.customer_id
ORDER BY c.customer_id;

SELECT *
FROM orders o
LEFT JOIN customers c
   ON o.customer_id = c.customer_id
ORDER BY c.customer_id;

order_id	customer_id	orderr_date	status	comments	customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT *
FROM orders o
RIGHT OUTER JOIN customers c
   ON o.customer_id = c.customer_id
ORDER BY c.customer_id;

SELECT *
FROM orders o
RIGHT JOIN customers c
   ON o.customer_id = c.customer_id
ORDER BY c.customer_id;

order_id	customer_id	orderr_date	status	comments	customer_id	first_name	last_name	points	state	phone_no	birth_date

SELECT 
   o.order_id,
   c.customer_id,
   c.first_name
FROM orders o
LEFT JOIN customers c
   ON o.customer_id = c.customer_id
ORDER BY c.customer_id;

order_id	customer_id	first_name

SELECT 
   o.order_id,
   c.customer_id,
   c.first_name
FROM orders o
RIGHT JOIN customers c
   ON o.customer_id = c.customer_id
ORDER BY c.customer_id;

order_id	customer_id	first_name

2.8 OUTER Join Between Multiple Tables

SELECT 
   o.order_id,
   c.customer_id,
   c.first_name
FROM orders o
LEFT JOIN customers c
   ON o.customer_id = c.customer_id
JOIN shippers sh
   ON o.shipper_id = sh.shipper_id
ORDER BY c.customer_id;

order_id	customer_id	first_name

SELECT 
   o.order_id,
   c.customer_id,
   c.first_name,
   sh.name AS shipper
FROM orders o
LEFT JOIN customers c
   ON o.customer_id = c.customer_id
LEFT JOIN shippers sh
   ON o.shipper_id = sh.shipper_id
ORDER BY c.customer_id;

order_id	customer_id	first_name	shipper

2.9 Self Outer Joins

USE sql_hr;

SELECT 
   e.employee_id,
   e.first_name,
   m.first_name AS manager
FROM employees e
LEFT JOIN employees m
   ON e.reports_to = m.employee_id;

employee_id	first_name	manager

2.10 The USING Clause

use USING keyword if same column name in both tables

SELECT 
   o.order_id,
   c.first_name
FROM orders o
JOIN customers c
   ON o.customer_id = c.customer_id;

SELECT 
   o.order_id,
   c.first_name
FROM orders o
JOIN customers c
   USING (customer_id);

order_id	first_name

SELECT *
FROM order_items oi
JOIN order_item_notes oin
   ON oi.order_id = oin.order_id
   AND oi.product_id = oin.product_id;

SELECT *
FROM order_items oi
JOIN order_item_notes oin
   USING (order_id, product_id);

order_id	product_id	order_date	status	comments	product_id	first_name	last_name	points	state	phone_no	birth_date

2.11 NATURAL Joins

SELECT 
   o.order_id,
   c.customer_id,
   c.first_name
FROM orders o
NATURAL JOIN customers c;

order_id	customer_id	first_name

2.12 CROSS Joins

Explicit Inner Join Syntax

SELECT 
   c.first_name AS customer,
   p.name AS product
FROM customers c
CROSS JOIN product p
ORDER BY c.first_name;

Implicit Inner Join Syntax

SELECT 
   c.first_name AS customer,
   p.name AS product
FROM customers c, product p
ORDER BY c.first_name;

customer	product

2.13 Unions

SELECT
   customer_id,
   first_name,
   points,
   'Bronze' AS type
FROM customers
WHERE points < 2000;

UNION

SELECT
   customer_id,
   first_name,
   points,
   'Silver' AS type
FROM customers
WHERE points BETWEEN 2000 AND 3000;

UNION

SELECT
   customer_id,
   first_name,
   points,
   'Gold' AS type
FROM customers
WHERE points > 3000

ORDER BY first_name;

customer_id	first_name	points	type

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
README.md		README.md
comments.sql		comments.sql
databases.sql		databases.sql
db-hr.sql		db-hr.sql
db-inventory.sql		db-inventory.sql
db-invoicing.sql		db-invoicing.sql
db-store.sql		db-store.sql
facebook_users.sql		facebook_users.sql
full database.sql		full database.sql
posts.sql		posts.sql
products.sql		products.sql
test.sql		test.sql
users.sql		users.sql

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`Complete-SQL`

Table of Contents 📋

1. Retrieving Data From a Single Table

1.1 SELECT Clause

1.2 WHERE Clause

1.3 AND, OR & NOT Operators

1.4 IN Operators

1.5 BETWEEN Operators

1.6 LIKE Operators

1.7 REGEXP Operators

1.8 IS NULL Operators

1.9 ORDER BY Operators

1.10 LIMIT Clause

2. Retrieving Data From a Multiple Table

2.1 INNER Joins

`Error ⬆` `because of customer_id`

2.2 Joining Across Databases

2.3 Self Joins

2.4 Joining Multiple Tables

2.5 Compound Join Conditions

2.6 Implicit Join Syntax

2.7 OUTER Joins

2.8 OUTER Join Between Multiple Tables

2.9 Self Outer Joins

2.10 The USING Clause

2.11 NATURAL Joins

2.12 CROSS Joins

2.13 Unions

3. Inserting, Updating, and Deleting Data

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Complete-SQL

Table of Contents 📋

1. Retrieving Data From a Single Table

1.1 SELECT Clause

1.2 WHERE Clause

1.3 AND, OR & NOT Operators

1.4 IN Operators

1.5 BETWEEN Operators

1.6 LIKE Operators

1.7 REGEXP Operators

1.8 IS NULL Operators

1.9 ORDER BY Operators

1.10 LIMIT Clause

2. Retrieving Data From a Multiple Table

2.1 INNER Joins

Error ⬆ because of customer_id

2.2 Joining Across Databases

2.3 Self Joins

2.4 Joining Multiple Tables

2.5 Compound Join Conditions

2.6 Implicit Join Syntax

2.7 OUTER Joins

2.8 OUTER Join Between Multiple Tables

2.9 Self Outer Joins

2.10 The USING Clause

2.11 NATURAL Joins

2.12 CROSS Joins

2.13 Unions

3. Inserting, Updating, and Deleting Data

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`Complete-SQL`

`Error ⬆` `because of customer_id`

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