PostgreSQL tutorial

PostgreSQL, often referred to as Postgres, is an advanced open-source object-relational database management system (ORDBMS). PostgreSQL is known for its stability, reliability, and feature-richness, making it a preferred choice for many developers and organizations.

PostgreSQL is written in the C programming language and offers extensive support for various programming languages, including SQL, Python, Java, and many others. It adheres to the SQL standards and provides a robust set of features for managing and manipulating data. Additionally, PostgreSQL supports various advanced features such as complex queries, indexes, transactions, and concurrency control mechanisms, which contribute to its reputation as a powerful and flexible database system.

Features of PostgreSQL

One of the notable features of PostgreSQL is its support for object-relational database capabilities. It allows users to define their custom data types, operators, and functions, making it possible to store and query complex data structures. This flexibility enables developers to build sophisticated applications that go beyond traditional relational database models.

PostgreSQL also provides extensive support for geographic data, making it a popular choice for applications involving location-based services. It includes advanced features like geometric data types, spatial indexing, and spatial functions, enabling efficient storage and querying of geospatial information.

Another strength of PostgreSQL is its focus on data integrity and reliability. It offers a wide range of constraints, triggers, and rules to enforce data integrity rules and maintain consistency. Furthermore, PostgreSQL provides support for ACID (Atomicity, Consistency, Isolation, Durability) properties, ensuring reliable and transactional data processing.

PostgreSQL’s extensibility is another feature that sets it apart from other databases. It allows users to create custom extensions, which can be used to enhance the functionality of the database system. These extensions can add new data types, functions, or even integrate with external libraries, expanding the capabilities of PostgreSQL to meet specific application requirements.

In terms of scalability, PostgreSQL offers various features to handle large datasets and high loads. It supports table partitioning, allowing data to be distributed across multiple storage units for efficient retrieval. Furthermore, PostgreSQL supports asynchronous and synchronous replication, which enables the setup of high availability and fault-tolerant database clusters.

In PostgreSQL are four procedural languages with you can write functions:


This postgresql tutorial will be concentrated on PL/pgSQL language.

1. Introduction to PostgreSQL

2. Conditional Statements

3. Create Function

4. Create Trigger

5. View

6. Aggregate functions

7. PostgreSQL Tutorial

PL/pgSQL – SQL Procedural Language

The basic commands of PL/pgSQL – SQL Procedural Language:

Alter Examples

PostgreSQL error messages help

Overall, PostgreSQL is a powerful, feature-rich, and reliable database system that excels in handling complex data and providing robust data management capabilities. Its flexibility, extensibility, and adherence to standards make it an excellent choice for a wide range of applications, from small-scale projects to enterprise-level systems.