PostgreSQL Materialized Views

Introduction to PostgreSQL Materialized Views

The view is actually a virtual table that is used to represent the records of the table. To allow the user to store the result returned by a query physically and allow us to update the table records periodically, we use the PostgreSQL materialized views. We can update the views, store the resultant records of the complex queries in a cache and later, we can use that view to refresh the resultant records periodically. Whenever we need fast access to the data, then we generally prefer to use, for example, Business Intelligent applications and in data warehouses.

How do PostgreSQL Materialized Views work?

• This stores the resultant records of the complex queries physically. This provides fast access to records when we have an expensive operation.
• We can refresh the data periodically once we have a view created.
• Also, we can delete the view whenever we don’t need it anymore.
• To query data from the materialized view, we have to load it first with data.
• We can use the CONCURRENTLY option, and then whenever we have to perform INSERT and UPDATE operation, then PostgreSQL checks the different versions and update the only difference.

How to create PostgreSQL Materialized Views?

To create the PostgreSQL Materialized view, we can use the CREATE MATERIALIZED VIEW statement. Consider the following syntax to understand the creation of the same:

Syntax

CREATE MATERIALIZED VIEW view_name
AS
query
WITH [NO] DATA;

Explanation

• view_name: Defines the name of the view; we specify it with the CREATE MATERIALIZED VIEW clause.
• query: This is used after the AS keyword. This defines the statement which gets the records from the tables.
• WITH [NO] DATA: The [NO] keyword is optional. If it is not defined, then while creating, only the data gets loaded into the same. The view becomes unreadable if we define WITH NO DATA.

Examples to Implement PostgreSQL Materialized Views

We will create a table named ‘student’ by using the CREATE TABLE statement as follows:

Example #1

Code:

create table student
(
stud_id serial PRIMARY KEY,
stud_fname VARCHAR(80) NOT NULL,
stud_lname VARCHAR(80) NOT NULL
);

Now, we will insert some data into the student table by using the INSERT INTO statement as follows:

Code:

INSERT INTO student(stud_fname,stud_lname)
VALUES
('Smith','Johnson'),
('Williams','Jones'),
('Brown','Davis');

Illustrate the result of the above INSERT statement by using the following SQL statement and snapshot.

Code:

select * from student;

Output:

Example #2

Now we will create a PostgreSQL Materialized view named ‘studlname_view’ by using the following statement.

Code:

CREATE MATERIALIZED VIEW studlname_view
as
select stud_lname
from student
group by stud_lname order by stud_lname;

Illustrate the result of the above CREATE MATERIALIZED VIEW statement by using the following SQL statement and snapshot.

Code:

select * from studlname_view;

Output:

How to refresh PostgreSQL Materialized Views?

There are two ways to create Materialized Views. Let’s understand them. Consider the following syntax to understand the refresh of the same:

1. REFRESH MATERIALIZED VIEW view_name;

When we use the above syntax to refresh data within the PostgreSQL Materialized view, the entire table gets locked by PostgreSQL, so we cannot query the data. So we can use the CONCURRENTLY option to avoid this condition.

2. REFRESH MATERIALIZED VIEW CONCURRENTLY view_name;

When we have defined the CONCURRENTLY option, PostgreSQL creates a temporary view. And whenever we have to perform INSERT and UPDATE operation, then PostgreSQL checks the different versions and updates only difference.

Example

We have created a PostgreSQL Materialized view named ‘studlname_view’ in the above section. Illustrate the result of the ‘studlname_view’ by using the following SQL statement and snapshot.

Code #1

select * from studlname_view;

Output:

Now we will insert some data into the student table, and then we will verify the result of the ‘studlname_view’ view.

INSERT INTO student(stud_fname,stud_lname)
VALUES
('John','David'),
('Rio','Helsinki'),
('Berlin','Oslo');

Illustrate the result of the above INSERT statement by using the following SQL statement and snapshot.

Code #2

select * from student;

Output:

Now we will refresh a PostgreSQL Materialized view named ‘studlname_view’ by using the following statement.

3. REFRESH MATERIALIZED VIEW studlname_view;

Illustrate the result of the ‘studlname_view’ by using the following SQL statement and snapshot.

Code #3

select * from studlname_view;

Output:

How to delete PostgreSQL Materialized Views?

To remove the materialized view, we have to use a similar syntax as we do in the case of the tables or views. Consider the following syntax to understand the  dropping of the same:

DROP MATERIALIZED VIEW view_name;

Or

DROP MATERIALIZED VIEW studlname_view;

As a result, it will drop the view by using the above DROP statement.

Conclusion

We hope from the above article you have understood how to create the PostgreSQL Materialized Views and how the PostgreSQL Materialized Views works as well as how to refresh or delete the PostgreSQLMaterialized Views. Also, we have added several examples to understand it in detail.

Recommended Articles

This is a guide to PostgreSQL Materialized Views. Here we discuss an introduction to PostgreSQL Materialized with appropriate syntax, working and respective examples. You can also go through our other related articles to learn more –

1. PostgreSQL Queries
2. PostgreSQL IF Statement
3. PostgreSQL round
4. PostgreSQL NATURAL JOIN