Functions and Operators in PostgreSQL: Logical Operators || PostgreSQL F...

In this video, we dive into Logical Operators in PostgreSQL, an essential part of writing powerful and efficient queries. Logical operators help us combine multiple conditions and make decisions in our SQL statements.

We’ll cover the three main operators — AND, OR, and NOT — along with PostgreSQL’s three-valued logic system (TRUE, FALSE, and NULL). You’ll also learn how these operators work through truth tables and practical examples using an employees table.

📌 What you’ll learn in this video:

• Introduction to PostgreSQL Logical Operators

• Detailed explanation of AND, OR, and NOT

• How NULL affects logical operations

• Using logical operators in WHERE clauses

• Real-world examples with CREATE TABLE and INSERT statements

By the end of this tutorial, you’ll have a strong understanding of how logical operators work in PostgreSQL, enabling you to write more accurate and efficient queries.

👉 Don’t forget to check out the Full PostgreSQL Playlist for a complete step-by-step guide on mastering PostgreSQL.

Data Types in PostgreSQL: Domain Data Types || PostgreSQL Full Playlist #57

In this video, we explore Domain Data Types in PostgreSQL — a powerful feature that lets you create custom, reusable data types with built-in constraints. This helps you enforce consistent rules across your database while keeping your schema clean and maintainable.

We’ll start with the basics of domains, showing how to build them from existing types and add CHECK constraints for validations. You’ll see examples like restricting integers to positive values or phone numbers to a specific pattern. We’ll also cover advanced domains using ENUMs and arrays.

Next, we’ll dive into Object Identifier (OID) Types such as regclass, regtype, and others. These special types simplify working with PostgreSQL’s internal system objects, making queries cleaner and more robust. You’ll learn how to use OIDs in system queries, pg_relation_size, and nextval() calls.

By the end of this tutorial, you’ll be able to:

• Create and use Domain Types with constraints

• Work with OID types and their aliases

• Apply domains to different data types, including arrays and enums

• Understand when to use early vs late binding in PostgreSQL

📌 Watch this if you want to:
✔ Make your database design more robust
✔ Avoid repeating constraints in multiple tables
✔ Use PostgreSQL’s built-in features to simplify queries

Data Types in PostgreSQL: Array Data Types || PostgreSQL Full Playlist #56

In this video, we explore Array Data Types in PostgreSQL in detail. Arrays are powerful when you need to store multiple values in a single column, whether for lists, schedules, or multi-dimensional grids.

We’ll start by understanding what arrays are and how they work in PostgreSQL. Then, we’ll cover declaration methods using both the square bracket ([]) notation and SQL standard ARRAY keyword. You’ll learn how to insert array values using both literal and constructor syntax, and how to work with multi-dimensional arrays.

Next, we dive into accessing array elements using indexes and slices, retrieving dimensions with functions like array_dims and array_length, and modifying arrays by replacing values, updating slices, or concatenating arrays.

We also explore searching within arrays using ANY, ALL, generate_subscripts, array_position, and the overlap (&&) operator. You’ll see practical examples for querying salaries, schedules, and more.

Finally, we’ll discuss best practices for using arrays, their pros and cons, and when you should consider normalizing data instead. This session is part of the PostgreSQL Full Playlist so you can master every concept step-by-step.

If you want to level up your PostgreSQL skills, this video is for you! 🚀

Data Types in PostgreSQL: JSON Data Types || PostgreSQL Full Playlist #55

Welcome to Part 55 of our PostgreSQL Full Playlist! 🎥 In this video, we dive deep into one of the most powerful data types in PostgreSQL — JSON and JSONB.

📌 What You’ll Learn:

• The difference between json and jsonb types

• How PostgreSQL stores and processes JSON data

• Practical examples: inserting, querying, and updating JSON fields

• Using operators like @>, ?, and ->>

• Powerful indexing strategies using GIN, BTREE, and expression indexes

• Working with jsonpath queries for complex lookups

• Handling edge cases like Unicode, nulls, and nested structures

• Real-world best practices and performance tips for working with semi-structured data

PostgreSQL’s support for JSON is incredibly robust, allowing developers to handle flexible data formats while still benefiting from SQL power.

Whether you're a backend developer, database admin, or student, this video will equip you with essential skills for modern data modeling using JSON in PostgreSQL.

📚 Don’t forget to check the full playlist for more videos on PostgreSQL indexing, constraints, normalization, functions, and performance tuning!

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