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.
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! 🚀
📦 Welcome to Episode #48 of our PostgreSQL Full Playlist! In this video, we dive deep into one of the most important and specialized PostgreSQL data types — Binary Data Types, specifically the BYTEA type.
🔍 The BYTEA data type is used to store binary data like files, images, encrypted content, or any non-textual byte stream. We’ll walk you through:
What is BYTEA and when to use it
Input formats: Hex vs Escape (with full examples)
How to insert and retrieve binary data
Usage of encode() and decode() functions
How PostgreSQL automatically compresses large binary objects using TOAST
Important security and performance tips for handling BYTEA values
🎓 Whether you're a database developer, backend engineer, or someone diving into PostgreSQL internals — this video will give you both the theory and hands-on practice to master binary data management in PostgreSQL.
💾 Don’t forget to LIKE 👍, SUBSCRIBE 🔔, and COMMENT 💬 if you find this helpful!
🧠 Watch the full PostgreSQL series for deep database insights.
In this video (Part #43 of the PostgreSQL Full Playlist), we take a deep dive into Numeric Data Types in PostgreSQL—an essential concept for every backend or data engineer. 🚀
You’ll learn how to handle real-world data like prices, tax rates, measurements, sensor data, population counts, and financial transactions using:
Integer Types: SMALLINT, INTEGER, BIGINT
Fixed Precision: NUMERIC, DECIMAL
Floating-Point: REAL, DOUBLE PRECISION
Auto-Increment Types: SERIAL, BIGSERIAL
Money Type: MONEY
Special values: Infinity, -Infinity, NaN
We also explore precision, rounding behavior, and common pitfalls—along with RETURNING clauses for instant verification. No more boring examples—every use case in this video is practical and relatable. 🧮💰
🔔 Don’t forget to Like, Subscribe, and Turn on Notifications to stay updated on this complete PostgreSQL tutorial series!
💬 Leave a comment below with your thoughts or questions!
In this video, we dive deep into Common Table Expressions (CTEs) in PostgreSQL — a powerful feature that helps you write cleaner, more modular, and efficient SQL queries.
Whether you're a beginner exploring PostgreSQL or an advanced user refining your skills, this tutorial covers everything you need to know about WITH queries, including:
✅ What is a CTE?
✅ Syntax and structure
✅ Benefits of using CTEs
✅ Simple CTEs for temporary data sets
✅ Recursive CTEs for generating sequences or traversing hierarchies
✅ Data-Modifying CTEs using INSERT, UPDATE, and DELETE
✅ Using CTEs with JOINs to simplify complex multi-table queries
✅ Materialization and performance tips
You'll see real-time PostgreSQL examples that demonstrate how CTEs can be applied to real-world scenarios like summarizing data, cleaning up subqueries, and chaining modifications.
📌 This video is part of our PostgreSQL Full Playlist, where we guide you step-by-step from basic concepts to advanced performance optimizations.
💡 Don’t forget to like, comment, and subscribe to stay updated with more database content!
The UPDATE statement in PostgreSQL is a crucial tool for modifying existing records within a table. Whether you need to update specific rows, apply conditional changes, or modify multiple columns at once, PostgreSQL provides powerful options to handle data updates efficiently.
In this tutorial, we explore various UPDATE scenarios:
✅ Basic updates for modifying specific rows
✅ Applying updates to all rows with calculations
✅ Updating multiple columns in a single query
✅ Using conditions with AND/OR operators
✅ Updating data based on subqueries
✅ Returning updated rows with the RETURNING clause
✅ Safe updates using primary keys
✅ Updating data through JOINs with other tables
✅ Applying conditional updates using CASE
✅ Using Common Table Expressions (CTEs) for structured updates
We also cover essential best practices to ensure safe updates, avoid unwanted modifications, and optimize query performance.
📌 SQL Examples Covered in the Video:
UPDATE products SET price =200WHERE price =300;
UPDATE products SET price = price *1.10;
UPDATE products SET price = price *1.05, stock = stock -2WHERE stock >5;
UPDATE products SET stock = stock +5WHERE name ='Laptop'OR price <200;
UPDATE products SET price = price *1.10WHERE product_id IN (SELECT product_id FROM products WHERE stock <15);
... and many more!
🚀 By the end of this tutorial, you’ll have a solid understanding of how to effectively use the UPDATE statement in PostgreSQL for data manipulation.
🔔 Don't forget to like, share, and subscribe for more PostgreSQL tutorials!
Welcome to another informative tutorial in our PostgreSQL series! In this video, we dive into constraints and their vital role in PostgreSQL table management.
Constraints are essential in database design, ensuring data integrity and consistency. This tutorial covers different types of constraints available in PostgreSQL, including Primary Key, Foreign Key, Unique, Not Null, Check, and Exclusion constraints. Each type serves a unique purpose, from preventing duplicate entries to enforcing valid relationships between tables.
Understanding these constraints helps to prevent errors and optimize database performance, making it easier to manage data. Whether you're a beginner or a seasoned database professional, mastering constraints is crucial for building reliable applications.
This video is perfect for developers, database administrators, and anyone interested in creating robust databases. Watch now to enhance your PostgreSQL skills and make your data management seamless and error-free!
Constraints in PostgreSQL, PostgreSQL tutorial, data integrity, Primary Key PostgreSQL, Foreign Key PostgreSQL, SQL constraints, Unique constraint, Not Null constraint, Check constraint, Exclusion constraint, database management, PostgreSQL basics, SQL tutorial, database design, data quality, PostgreSQL for beginners
Setting default values in PostgreSQL columns can streamline database management, improve consistency, and reduce the need for repetitive data entry. In this tutorial, you’ll learn how to define default values in PostgreSQL tables, making it easier to manage data across applications.
We'll dive into the syntax and usage of the DEFAULT keyword, demonstrating different use cases such as numeric defaults, text, and date values. This tutorial covers why defaults are essential for certain columns and shows how to make them work to your advantage, ensuring cleaner, more predictable data inputs.
Whether you’re a developer working on complex applications or a database administrator looking to automate routine tasks, understanding PostgreSQL’s default values can significantly simplify your workflow. Watch this video to gain practical insights and optimize your PostgreSQL tables for a more efficient database experience!
PostgreSQL, default values, database tutorial, PostgreSQL tutorial, SQL default values, PostgreSQL table columns, PostgreSQL database, SQL tips, backend development, data engineering, database management, PostgreSQL for beginners, learn PostgreSQL, SQL video tutorial, set default values PostgreSQL
Welcome to our comprehensive tutorial on downloading and installing PostgreSQL 17 and pgAdmin 4 on Windows! In this video, we will walk you through every step of the installation process, ensuring you have a smooth setup. PostgreSQL is a powerful, open-source relational database management system, and pgAdmin 4 is a robust management tool that allows you to interact with your PostgreSQL databases effortlessly.
First, we’ll cover the prerequisites you need before starting the installation. We'll show you how to download PostgreSQL 17 from the official website, ensuring you get the latest version. Next, we will guide you through the installation process, including choosing the right options for your setup and configuring your database environment.
Once PostgreSQL is installed, we’ll dive into installing pgAdmin 4, an essential tool for managing your databases with a user-friendly interface. You’ll learn how to set up your first database, navigate the pgAdmin interface, and execute basic SQL commands.
By the end of this tutorial, you will have a fully functional PostgreSQL environment ready for your development projects. Whether you're working on a personal project or need a powerful database solution for your business, this video has you covered.
Make sure to subscribe to our channel for more tutorials on database management and development tips! If you have any questions or run into issues, feel free to drop a comment below—we’re here to help!
-- purpose is to return multiple values (more than one value) from a stored procedure
-- in PostgreSQL
How To Create A Stored Procedure And Return Multiple Values From The Stored Procedure In PostgreSQL
In this comprehensive tutorial, we’ll show you how to create a stored procedure in PostgreSQL that returns multiple values. Stored procedures are an essential tool in database management, allowing you to encapsulate complex logic and reuse it throughout your applications.
We begin by explaining the basics of stored procedures in PostgreSQL, including the syntax and the different ways to return values. You’ll learn how to declare variables, use the OUT parameters, and return multiple results from a single procedure. We’ll also cover how to call the stored procedure from pgAdmin and SQL Shell (psql), making sure you’re comfortable executing these procedures in different environments.
This video is ideal for developers, database administrators, and anyone looking to deepen their understanding of PostgreSQL. By the end of the tutorial, you’ll have the skills to create your own stored procedures that can return multiple values, enhancing the efficiency and flexibility of your database operations.
How To Create A Stored Procedure With Parameter Modes IN INOUT OUT Modes In Postgresql || PL/pgSQL
-- purpose is to create a stored procedure with parameter mode (IN, INOUT) and call it
-- IN Only Input and it is default
-- OUT Only Output, only OUT is not allowed in Stored Procedure in PostgreSQL
-- INOUT Input + Output
In this video tutorial, you’ll learn how to create stored procedures in PostgreSQL using different parameter modes: IN, INOUT, and OUT. These parameter modes are crucial for controlling the flow of data within your stored procedures and can greatly enhance the flexibility and power of your database functions.
We start by explaining the purpose of each parameter mode:
IN: This mode allows you to pass data into the procedure.
OUT: This mode is used to return data from the procedure.
INOUT: This mode allows a parameter to be passed in and modified within the procedure, then returned.
After covering the basics, we dive into practical examples where you’ll see how to implement these modes in a stored procedure using PL/pgSQL. You’ll also learn how to call these procedures from pgAdmin and SQL Shell (psql), ensuring you can apply these techniques in real-world scenarios.
This tutorial is designed for database administrators, developers, and anyone interested in advancing their PostgreSQL knowledge. By the end of this video, you’ll have a solid understanding of how to use parameter modes effectively within your stored procedures, allowing for more dynamic and reusable database functions.
PostgreSQL, stored procedure, parameter modes, IN parameter, OUT parameter, INOUT parameter, PLpgSQL, PostgreSQL tutorial, database management, SQL commands, pgAdmin
CREATE OR REPLACE PROCEDURE public.testing_procedure(p_num1 IN numeric,p_num2 IN numeric, p_sum INOUT numeric)
LANGUAGE 'plpgsql'
AS $BODY$
DECLARE
BEGIN
p_sum := p_num1 + p_num2;
END;
$BODY$;
CALL public.testing_procedure(13,10,-1);
CREATE OR REPLACE PROCEDURE public.testing_procedure(p_num1 IN numeric,p_num2 IN numeric, p_sum INOUT numeric,p_mult INOUT numeric)
How To Create A Stored Procedure And Insert Data Into A Table By Calling/Using The Stored Procedure
In this tutorial, you’ll master the process of creating a stored procedure in PostgreSQL and learn how to insert data into a table by calling this procedure. Stored procedures are essential for encapsulating complex SQL operations, and this video will guide you through each step of the process.
We begin by introducing the concept of stored procedures and their benefits, particularly in terms of code reuse and simplifying database management. You'll see a detailed explanation of how to define a stored procedure in PL/pgSQL, the procedural language of PostgreSQL.
Next, we focus on a practical example: creating a stored procedure that inserts data into a specific table. This part of the video will show you:
How to declare the procedure.
How to define the input parameters that will pass the data to be inserted.
How to write the SQL commands within the procedure to perform the data insertion.
Finally, you’ll learn how to call this stored procedure from both pgAdmin and SQL Shell (psql), ensuring that you can apply this knowledge in your daily database management tasks.
This tutorial is perfect for database administrators, developers, and anyone looking to improve their PostgreSQL skills. By the end of the video, you’ll have the knowledge to efficiently create and utilize stored procedures for data manipulation in PostgreSQL.
-- the purpose is to create a simple stored procedure in PostgreSQL
-- and Insert Data in the table by calling it using pgAdmin
CREATE TABLE public.testing_table (dummy_column text);
CREATE OR REPLACE PROCEDURE public.testing_procedure(p_msg text)
LANGUAGE 'plpgsql'
AS $BODY$
DECLARE
BEGIN
INSERT INTO public.testing_table(dummy_column) VALUES('Before Inserting Parameter Value');
INSERT INTO public.testing_table(dummy_column) VALUES (p_msg);
INSERT INTO public.testing_table(dummy_column) VALUES('After Inserting Parameter Value');
END;
$BODY$;
SELECT * FROM public.testing_table;
DELETE from public.testing_table;
CALL public.testing_procedure('Hello Akram, How are you?');
Before Inserting
the message I pass as a parameter
After Inserting...
