# PostgreSQL® tutorial: Get started with PostgreSQL in 4 easy steps

PostgreSQL® tutorial: Get started with PostgreSQL in 4 easy steps
=================================================================

PostgreSQL is an open source object-relational database system. It has a strong reputation for reliability and performance and an extensive feature set

 [Talk to a consultant](/contact-us/) 

 

 

 

    - [ What Is PostgreSQL? ](#sec-0)
- [ Key features of PostgreSQL ](#sec-1)
- [ Tips from the expert ](#sec-2)
- [ PostgreSQL tutorial for beginners ](#sec-3)
- [ Managed PostgreSQL with Instaclustr ](#sec-4)
 
      What Is PostgreSQL?   Key features of PostgreSQL   Tips from the expert   PostgreSQL tutorial for beginners   Managed PostgreSQL with Instaclustr   

 What Is PostgreSQL? 
--------------------

PostgreSQL is an open source object-relational database system. It has a strong reputation for reliability and performance and an extensive feature set. It supports SQL and enables complex queries, making it suitable for large sets of data across various applications. It also manages concurrency, allowing multiple users to interact with the database simultaneously.

In addition to its SQL support, PostgreSQL offers extensibility, which means users can define their own data types and functions, making PostgreSQL customizable and compatible with modern data pipelines. Its architecture supports diverse programming languages and frameworks, and it has an active development community.

**Editor’s note:** Updated to reflect PostgreSQL version 18.

*This is part of a series of articles about [PostgreSQL](https://www.instaclustr.com/education/postgresql/complete-guide-to-postgresql-features-use-cases-and-tutorial/)*

 

 

Key features of PostgreSQL
--------------------------

PostgreSQL v18 offers the following main features:

- **Asynchronous I/O (AIO):** Introduces a new non-blocking I/O subsystem that significantly improves performance for sequential scans, bitmap heap scans, and VACUUM operations, especially on high-performance storage systems.
- **Skip Scan on B-tree Indexes:** Allows PostgreSQL to efficiently use multicolumn B-tree indexes even when the leading column is not included in the query filter, improving index utilization and query speed.
- **Virtual Generated Columns (Default):** Generated columns are now virtual by default, meaning their values are computed at query time rather than stored, reducing storage overhead and write amplification.
- **UUIDv7 Support:** Adds native support for UUID version 7, which is time-ordered and improves index locality and performance compared to random UUIDs.
- **Temporal Constraints (`WITHOUT OVERLAPS` / `PERIOD`):** Enables enforcement of non-overlapping time ranges directly at the database level, simplifying temporal data integrity management.
- **Enhanced `RETURNING` Clause:** Allows explicit access to `OLD` and `NEW` row values in `INSERT`, `UPDATE`, `DELETE`, and `MERGE` statements for richer and more expressive DML operations.
- **Query Planner &amp; Optimizer Improvements:** Delivers smarter execution plans, better handling of OR/IN predicates, improved DISTINCT and join processing, and enhanced parallel query performance.
- **Improved `pg_upgrade`:** Preserves planner statistics during major upgrades and supports parallel processing, reducing downtime and improving post-upgrade performance stability.
- **Security Enhancements:** Adds OAuth 2.0 authentication support, deprecates MD5 password authentication, and strengthens TLS defaults for more secure client connections.
- **Monitoring &amp; Diagnostics Enhancements:** Expands `EXPLAIN` output and introduces additional I/O and performance statistics views for better observability and troubleshooting.
- **COPY Command Improvements:** Enhances bulk data loading with better error handling and improved performance for large imports.
- **Wire Protocol 3.2:** Updates the PostgreSQL frontend/backend protocol to improve communication efficiency and support modern client capabilities.

**Related content: Read our guide to [Postgres support](https://www.instaclustr.com/support-solutions/)**

 

 

Tips from the expert
--------------------

 

 ![Sharath Punreddy]()Sharath Punreddy

Solutions Architect

 

 

Sharath Punreddy is a Solutions Enginee with extensive experience in cloud engineering and a proven track record in optimizing infrastructure for enterprise clients

 

In my experience, here are tips that can help you better utilize PostgreSQL:

- **Take advantage of the JSONB data type for semi-structured data:** Unlike the standard JSON type, JSONB stores JSON data in a binary format, making it faster to process and query. It is ideal for applications that require flexibility in data schema or need to handle large volumes of semi-structured data.
- **Optimize query performance using `EXPLAIN` and `ANALYZE`:** Regularly analyze query execution plans using `EXPLAIN` and `ANALYZE` to understand how queries are processed. Look for slow queries or operations that can benefit from indexing, rewriting, or optimization.
- **Use server-side programming with PL/pgSQL:** PL/pgSQL allows you to write functions and triggers directly within the database, reducing the need for external application logic. This can improve [PostgreSQL performance](https://www.instaclustr.com/education/postgresql/postgresql-performance-factors-and-7-ways-to-supercharge-performance/) and maintainability by keeping business logic close to the data.
- **Regularly monitor and tune autovacuum settings:** Autovacuum is crucial for maintaining database health by reclaiming storage and preventing table bloat. Adjusting parameters such as `autovacuum_naptime`, `autovacuum_vacuum_cost_limit`, and `autovacuum_max_workers` can help balance performance and maintenance.
- **Explore PostgreSQL extensions for added functionality:** PostgreSQL’s extensibility allows for adding custom functionality. Extensions like PostGIS for spatial data, hstore for key-value storage, and pg\_stat\_statements for tracking query performance can significantly enhance the capabilities of your database. Install and configure only those extensions that meet your needs to avoid unnecessary complexity.

 

 

 

 

 

 

PostgreSQL tutorial for beginners 
----------------------------------

This tutorial covers the basic installation and configuration of PostgreSQL on Windows and Ubuntu, as well as how to connect to a PostgreSQL database server and load a database. The instructions are adapted from the [PostgreSQL documentation](https://www.postgresqltutorial.com/postgresql-getting-started/).

### Step 1: Set Up PostgreSQL

**Windows Installation**

To install PostgreSQL on Windows, follow these steps:

Download the PostgreSQL installer:  
Begin by navigating to the EnterpriseDB download page and selecting the latest version of PostgreSQL for Windows, such as version 18.2. Choose the x86-64 architecture, which is suitable for most modern systems. The download process will take a few minutes.

Run the installer:  
Once the download is complete, double-click the installer file. The PostgreSQL installation wizard will launch, guiding you through the setup process:

1. Click **Next** on the welcome screen.
2. Choose the installation directory. You can either accept the default location or specify a different directory based on your preference, then click **Next**.
3. Select the components you want to install. The available options include: 
    - **PostgreSQL server:** Installs the PostgreSQL database server.
    - **pgAdmin 4:** Installs the graphical user interface management tool for PostgreSQL.
    - **Command line tools:** Installs tools like `psql and `pg_restore` for command-line interaction with the database.`
    - **Stack builder:** Assists in downloading and installing additional drivers and tools. This can be skipped for now.
4. After selecting the necessary components, click **Next**.

Configure the database directory and credentials  
Next, set the relevant configurations:

1. Choose the directory for storing the database data. You can accept the default or specify a different directory.
2. Set a password for the PostgreSQL superuser (commonly `postgres`). Retype the password to confirm, and then click **Next**.
3. Specify the port number for PostgreSQL to listen on, typically 5432, ensuring no other applications use this port.
4. Select the default locale for the PostgreSQL server. Leaving it as the operating system default is generally sufficient.

Complete the installation  
Review the installation summary:

1. If everything is correct, click **Next** to start the installation. The process may take a few minutes.
2. After installation is complete, click the **Finish** button.

Add PostgreSQL to the system PATH  
To ensure you can use PostgreSQL’s command-line tools from any directory, you need to add the PostgreSQL `bin` directory to your system’s PATH environment variable:

1. Locate the `bin` directory, usually found in `C:\Program Files\PostgreSQL\bin`.  
    Press `Win + R`, type `sysdm.cpl`, and press **Enter** to open the System Properties dialog.  
    Go to the **Advanced** tab and select **Environment Variables**.  
    Under **User variables** or **System variables**, select the `Path` variable and click **Edit**.  
    Click **New**, enter the path to the PostgreSQL `bin` directory, and click **OK**.  
    Finally, close all dialog boxes by clicking **OK**. PostgreSQL is now installed and configured on your Windows system, ready for use.

**Installation on Ubuntu**

To install PostgreSQL on Ubuntu, follow these steps:

Add the PostgreSQL repository  
First, ensure your package index is up to date and install the necessary packages:

  





























sudo apt update

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  sudo apt update



   

 

 Update your package list again to include the new PostgreSQL repository:

  





























sudo apt install -y postgresql-common sudo /usr/share/postgresql-common/pgdg/apt.postgresql.org.sh

   1

2



  sudo apt install -y postgresql-common

sudo /usr/share/postgresql-common/pgdg/apt.postgresql.org.sh



   

 

 **Install PostgreSQL 18**

To install PostgreSQL 1 along with its additional modules:

Run the following command:

  





























sudo apt install postgresql-18

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  sudo apt install postgresql-18



   

 

 After installation, start the PostgreSQL service:

  





























sudo systemctl start postgresql

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  sudo systemctl start postgresql



   

 

 To ensure PostgreSQL starts automatically on boot, enable the service:

  





























sudo systemctl enable postgresql

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  sudo systemctl enable postgresql



   

 

 **Configure the PostgreSQL server**

PostgreSQL stores its configuration files in the `postgresql.conf` file. You can edit this file using a text editor like nano:

Use the following command:

  





























sudo nano /etc/postgresql/18/main/postgresql.conf

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  sudo nano /etc/postgresql/18/main/postgresql.conf



   

 

 If you want to allow remote connections, set listen\_addresses to \*:

  





























listen\_addresses = '\*'

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  listen\_addresses = '\*'



   

 

 Next, configure PostgreSQL to use MD5 password authentication by modifying the pg\_hba.conf file. This is important if you plan to enable remote connections:

  





























sudo sed -i '/^host/s/ident/md5/' /etc/postgresql/18/main/pg\_hba.conf sudo sed -i '/^local/s/peer/trust/' /etc/postgresql/18/main/pg\_hba.conf echo "host all all 0.0.0.0/0 md5" | sudo tee -a /etc/postgresql/18/main/pg\_hba.conf

   1

2

3



  sudo sed -i '/^host/s/ident/md5/' /etc/postgresql/18/main/pg\_hba.conf

sudo sed -i '/^local/s/peer/trust/' /etc/postgresql/18/main/pg\_hba.conf

echo "host all all 0.0.0.0/0 md5" | sudo tee -a /etc/postgresql/18/main/pg\_hba.conf



   

 

 Restart PostgreSQL to apply the changes:

  





























sudo systemctl restart postgresql

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  sudo systemctl restart postgresql



   

 

 If your system uses a firewall, allow traffic on PostgreSQL’s default port (5432) with:

  





























sudo ufw allow 5432/tcp

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  sudo ufw allow 5432/tcp



   

 

 PostgreSQL is now installed and configured on your Ubuntu system, ready for use.

### Step 2: Connect to a PostgreSQL Database Server

Connecting to a PostgreSQL database server can be done through several tools. Below, we’ll guide you through connecting using both the `psql` terminal-based utility and the `pgAdmin<.code> graphical interface.`

**Connect to the PostgreSQL database server using psql**

The `psql` tool is a command-line interface for interacting directly with the PostgreSQL server. It allows you to execute SQL commands, manage database objects, and perform various administrative tasks:

1. Open the command prompt or terminal: 
    1. On Windows, open the Command Prompt.
    2. On Unix-like systems (Linux, macOS), open Terminal.
2. Use the following command to connect to the PostgreSQL server:   
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    psql -U postgres
    
       1
    
    
    
      psql -U postgres
3. After running the command, you will be prompted to enter the password for the postgres user:   
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    Password for user postgres:
    
       1
    
    
    
      Password for user postgres:
    
    
    
       
    
     
    
     Enter the password you set during installation.
4. If the credentials are correct, you will be connected, and the prompt will change to something like this:   
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    postgres=#
    
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      postgres=\#
    
    
    
       
    
     
    
     This indicates you are now connected to the PostgreSQL server’s `postgres` database.
5. To verify your connection, you can check the PostgreSQL version by running:   
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    SELECT version();
    
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      SELECT version();
    
    
    
       
    
     
    
     The output will display the version of PostgreSQL running on your server.
6. You can also check the current database with:   
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    SELECT current\_database();
    
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      SELECT current\_database();
    
    
    
       
    
     
    
     And the server’s IP address and port with:
    
      
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    SELECT inet\_server\_addr(), inet\_server\_port();
    
       1
    
    
    
      SELECT inet\_server\_addr(), inet\_server\_port();

**Connect to the PostgreSQL database server using pgAdmin**

`pgAdmin` is a web-based interface that simplifies database management with a graphical interface. It’s suitable for those who prefer not to work from the command line:

1. Open `pgAdmin` from the Start menu or your applications list. It will launch in your default web browser.
2. Right-click on the **Servers** node in the left-hand panel and select **Register**, followed by **Server**.
3. In the dialog box, enter a name for the server connection (e.g., “Local”).
4. In the **Connection** tab, enter the host (usually localhost) and the password for the postgres user.
5. Click the **Save** button to establish the connection and save the configuration.
6. Expand the **Servers** node, and you will see the connected PostgreSQL instance with the default `postgres` database.
7. To run SQL queries, select **Tool**, then **Query Tool** from the menu. Enter your SQL commands in the editor, and click the **Execute** button to run them.
8. The results will be displayed in the **Data Output** tab.

### Step 3: Load a PostgreSQL Sample Database

Loading a sample database is a great way to practice and explore PostgreSQL’s features. Below are the steps to load the `dvdrental` sample database using both the `psql` command-line tool and the `pgAdmin` graphical interface.

**Load the sample database using psql and pg\_restore**

First, you need to create a new database where the sample data will be loaded. Open your Command Prompt on Windows or Terminal on Unix-like systems, and connect to the PostgreSQL server using the `psql` tool:

  





























psql -U postgres

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  psql -U postgres



   

 

 Enter the password for the `postgres` user when prompted. Once connected, create the `dvdrental` database:

  





























CREATE DATABASE dvdrental;

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  CREATE DATABASE dvdrental;



   

 

 Verify that the database was created successfully by listing all databases:

  





























\\l

   1



  \\l



   

 

 You should see dvdrental listed among the databases.

After creating the database, download the sample database (`dvdrental.zip`), extract it, and then use the `pg_restore` tool to load the data into the `dvdrental` database. For example, if the extracted file is located at D:\\sampledb\\postgres\\dvdrental.tar on Windows, run:

  





























pg\_restore -U postgres -d dvdrental D:\\sampledb\\postgres\\dvdrental.tar

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  pg\_restore -U postgres -d dvdrental D:\\sampledb\\postgres\\dvdrental.tar



   

 

 Enter the password when prompted. The restore process will load the data into the `dvdrental` database.

To verify it, connect to the `dvdrental` database using `psql`:

  





























psql -U postgres -d dvdrental

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  psql -U postgres -d dvdrental



   

 

 List all tables to verify that the data has been loaded successfully:

  





























\\dt

   1



  \\dt



   

 

 You should see a list of tables such as `actor`, `film`, `customer`, etc., confirming that the sample database is ready to use.

**Load the example DVD rental database using pgAdmin**

1. Open `pgAdmin` and connect to your PostgreSQL server. Right-click on the **Databases** node in the Object Browser panel, and select **Create**, then **Database**.
2. Enter `dvdrental` as the database name, and click **Save**.
3. Right-click on the newly created `dvdrental` database and select **Restore**.
4. In the **Restore** dialog, enter the path to the `dvdrental.tar` file (e.g., `c:\sampledb\dvdrental.tar`), and click **Restore**.
5. Once the restore process completes, expand the `dvdrental` database in the Object Browser. You should see the tables and other objects within the `public` schema, confirming that the sample data has been successfully loaded.

**Learn more in our detailed guide to [PostgreSQL high availability](https://www.instaclustr.com/education/postgresql/postgresql-high-availability-methods-topologies-and-tips/)**

 

 

Managed PostgreSQL with Instaclustr
-----------------------------------

### Efficiency and Reliability Unleashed: The Benefits of Instaclustr for PostgreSQL Databases

Instaclustr offers a host of benefits specifically tailored for PostgreSQL databases, making it an ideal solution for organizations seeking efficient and reliable management of their PostgreSQL deployments. With its managed services approach, Instaclustr simplifies the deployment, configuration, and maintenance of PostgreSQL databases, freeing up valuable resources and enabling businesses to focus on their core applications and data-driven insights.

Some of the benefits of Instaclustr for PostgreSQL include:

- Comprehensive managed services infrastructure management, provisioning, configuration, and security, ensuring that organizations can leverage the power of this robust relational database management system without the complexities of managing it internally. By offloading these operational tasks to Instaclustr, organizations can reduce the burden on their internal teams and ensure that their PostgreSQL databases are managed effectively and securely.
- Automated scaling capabilities, enabling PostgreSQL to seamlessly handle increasing workloads by adding or removing resources as needed. This ensures that applications relying on PostgreSQL can accommodate spikes in traffic and scale to meet future growth demands. Instaclustr’s platform actively monitors the health of the database cluster, automatically handling scaling processes to ensure optimal resource utilization and cost efficiency.
- High availability and fault tolerance for PostgreSQL databases. By employing replication and failover mechanisms, Instaclustr ensures that data is stored redundantly across multiple nodes in the cluster, providing resilience against hardware failures and enabling continuous availability of data. Instaclustr’s platform actively monitors the health of the database cluster and automatically handles failover and recovery processes, minimizing downtime and maximizing data availability for PostgreSQL deployments.

Furthermore, Instaclustr’s expertise and support are invaluable for PostgreSQL databases. Our team of experts has deep knowledge and experience in managing and optimizing PostgreSQL deployments. We stay up-to-date with the latest advancements in PostgreSQL technologies, ensuring that the platform is compatible with the latest versions and providing customers with access to the latest features and improvements. Instaclustr’s 24/7 support ensures that organizations have the assistance they need to address any PostgreSQL-related challenges promptly.

For more information see:

- [Instaclustr for PostgreSQL](https://www.instaclustr.com/platform/managed-postgresql/)
- [Fast Forking for PostgreSQL on Azure NetApp Files](https://www.instaclustr.com/blog/fast-forking-for-postgresql-on-azure-netapp-files/)
- [When You Need That Extra Power: Instaclustr Managed PostgreSQL on Azure NetApp Files](https://www.instaclustr.com/blog/managed-postgresql-on-azure-netapp-files/)

 

 

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