SQL UNION Operator

The SQL UNION Operator

The UNION operator is used to combine the result-set of two or more SELECT statements.

  • Every SELECT statement within UNION must have the same number of columns
  • The columns must also have similar data types
  • The columns in every SELECT statement must also be in the same order

UNION Syntax

SELECT column_name(s) FROM table1
UNION
SELECT column_name(s) FROM table2;

Continue reading SQL UNION Operator

SQL Self Join

SQL Self Join

A self join is a regular join, but the table is joined with itself.

Self Join Syntax

SELECT column_name(s)
FROM table1 T1, table1 T2
WHERE condition;

T1 and T2 are different table aliases for the same table. Continue reading SQL Self Join

SQL FULL OUTER JOIN

SQL FULL OUTER JOIN Keyword

The FULL OUTER JOIN keyword returns all records when there is a match in left (table1) or right (table2) table records.

Tip: FULL OUTER JOIN and FULL JOIN are the same.

FULL OUTER JOIN Syntax

SELECT column_name(s)
FROM table1
FULL OUTER JOIN table2
ON table1.column_name = table2.column_name
WHERE condition;

Note: FULL OUTER JOIN can potentially return very large result-sets! Continue reading SQL FULL OUTER JOIN

SQL RIGHT JOIN

SQL RIGHT JOIN Keyword

The RIGHT JOIN keyword returns all records from the right table (table2), and the matching records from the left table (table1). The result is 0 records from the left side, if there is no match.

RIGHT JOIN Syntax

SELECT column_name(s)
FROM table1
RIGHT JOIN table2
ON table1.column_name = table2.column_name;

Note: In some databases RIGHT JOIN is called RIGHT OUTER JOIN. Continue reading SQL RIGHT JOIN

SQL LEFT JOIN

SQL LEFT JOIN Keyword

The LEFT JOIN keyword returns all records from the left table (table1), and the matching records from the right table (table2). The result is 0 records from the right side, if there is no match.

LEFT JOIN Syntax

SELECT column_name(s)
FROM table1
LEFT JOIN table2
ON table1.column_name = table2.column_name;

Note: In some databases LEFT JOIN is called LEFT OUTER JOIN. Continue reading SQL LEFT JOIN

SQL INNER JOIN

INNER JOIN

The INNER JOIN keyword selects records that have matching values in both tables.

Let’s look at a selection of the Products table:

ProductID ProductName CategoryID Price
1 Chais 1 18
2 Chang 1 19
3 Aniseed Syrup 2 10

And a selection of the Categories table:

CategoryID CategoryName Description
1 Beverages Soft drinks, coffees, teas, beers, and ales
2 Condiments Sweet and savory sauces, relishes, spreads, and seasonings
3 Confections Desserts, candies, and sweet breads

We will join the Products table with the Categories table, by using the CategoryID field from both tables: Continue reading SQL INNER JOIN

SQL Joins

SQL JOIN

A JOIN clause is used to combine rows from two or more tables, based on a related column between them.

Let’s look at a selection from the “Orders” table:

OrderID CustomerID OrderDate
10308 2 1996-09-18
10309 37 1996-09-19
10310 77 1996-09-20

Then, look at a selection from the “Customers” table:

CustomerID CustomerName ContactName Country
1 Alfreds Futterkiste Maria Anders Germany
2 Ana Trujillo Emparedados y helados Ana Trujillo Mexico
3 Antonio Moreno Taquería Antonio Moreno Mexico

Notice that the “CustomerID” column in the “Orders” table refers to the “CustomerID” in the “Customers” table. The relationship between the two tables above is the “CustomerID” column. Continue reading SQL Joins

SQL Aliases

SQL Aliases

SQL aliases are used to give a table, or a column in a table, a temporary name.

Aliases are often used to make column names more readable.

An alias only exists for the duration of that query.

An alias is created with the AS keyword.

Example

SELECT CustomerID AS ID
FROM Customers;

Continue reading SQL Aliases

SQL IN Operator

The SQL IN Operator

The IN operator allows you to specify multiple values in a
WHERE
clause.

The IN operator is a shorthand for multiple
OR
conditions.

Example

Return all customers from ‘Germany’, ‘France’, or ‘UK’

SELECT * FROM Customers
WHERE Country IN ('Germany', 'France', 'UK');

Continue reading SQL IN Operator