# Introduction
In this node I explain some basic keywords in combination with SQL
Listed Keywords
# VIEW
# UNION
# WITH
# VIEW
refers to a virtual table based on one or more tables. A view allows you to store complex queries and retrieve them as if they were a single table.
# Example of a simple VIEW
Assuming you have a table employees
with columns employee_id
, name
, and salary
, you could create a simple view to display only specific information:
Now, you can use the EmployeeInfo
view to display only the employee_id
and name
columns instead of searching through the entire employees
table.
# UNION
is used to combine the results of two or more SELECT statements and remove duplicate rows.
# Example of a UNION Statement
Let’s consider an example with two tables, students_math
and students_physics
, both with columns student_id
and name
. We want to create a list of all unique students who have either studied math or physics:
giving us a list of distinct students, who have studied either math or physics. If a student has studied both, duplicates are removed, and the result set contains a unique list of students across the two tables.
# WITH
allows you to define a named query result temporarily and then use it as if it were a table in the rest of your SQL statement. It’s a way to break down complex queries into more manageable parts for better readability and maintenance.
# Example of a WITH Statement
Let’s say you have a table employees
with columns employee_id
, name
, and salary
, and you want to find the average salary and display employees with salaries above that average:
In this example, the WITH
statement creates a CTE named AverageSalary
, which calculates the average salary from the employees
table. The subsequent SELECT
statement then uses this CTE to filter and display only those employees whose salary is above the calculated average.