Functions & Operators in PostgreSQL: String Functions & Operators | Post...

Welcome back to our PostgreSQL Full Playlist! 🎥 In this episode (#61), we explore Functions & Operators in PostgreSQL, focusing on String Functions and Operators.

Strings are everywhere in databases – from names and emails to product codes and logs. PostgreSQL gives us a powerful set of tools to manipulate, search, format, and transform strings effectively.

In this tutorial, you’ll learn:

• ✅ String concatenation using operators

• ✅ Length functions: char_length, octet_length, bit_length

• ✅ Case conversion with upper() and lower()

• ✅ Trimming & padding: ltrim, rtrim, btrim, lpad, rpad

• ✅ Extracting substrings with substring() & overlay()

• ✅ Searching inside strings with position() & strpos()

• ✅ Advanced functions: concat, concat_ws, initcap, reverse, replace, repeat

• ✅ Splitting strings with string_to_array, regexp_split_to_table

• ✅ Regex power: regexp_like, regexp_replace, regexp_matches, regexp_substr

• ✅ Dynamic SQL formatting with format()

💡 By the end of this video, you’ll be confident in cleaning data, extracting patterns, and formatting text like a pro in PostgreSQL.

👉 Don’t forget to check out the PostgreSQL Full Playlist for more advanced topics and step-by-step learning.

If you enjoy the content, make sure to Like 👍, Comment 💬, Share 🔄, and Subscribe 🔔 for more tutorials every week.

Functions & Operators in PostgreSQL: Mathematical Function & Operator | ...

In this video 📺, we explore Mathematical Functions and Operators in PostgreSQL in depth. PostgreSQL provides a wide range of built-in tools that make complex calculations easy to perform directly inside your SQL queries.

We’ll cover everything step by step with examples and demos, including:
✅ Arithmetic operators (+, -, *, /, %, ^)
✅ Absolute value, square root, cube root, power
✅ Rounding, truncation, logarithmic & exponential functions
✅ Factorials, GCD, LCM, and PI
✅ Random number generation and seeding
✅ Trigonometric functions (sin, cos, tan, atan2) in radians & degrees
✅ Hyperbolic functions (sinh, cosh, tanh, etc.)

By the end of this session, you’ll know how to use these functions in real-world cases like financial applications, GIS, scientific computations, and simulations. 🚀

👉 This is part of the PostgreSQL Full Playlist. Don’t forget to check out previous episodes to build a strong foundation!

🔔 Subscribe, like, and share this video to support the channel and stay updated with more PostgreSQL tutorials.

Functions and Operators in PostgreSQL: Comparison Function & Operator | ...

In this video, we’ll dive into Comparison Functions and Operators in PostgreSQL. These are essential for writing precise queries, handling null values, and performing safe comparisons in your database applications.

You’ll learn:

• Basic comparison operators (<, >, =, <>, !=)

• Range testing with BETWEEN and NOT BETWEEN

• Using BETWEEN SYMMETRIC for unordered ranges

• NULL-safe comparisons with IS DISTINCT FROM and IS NOT DISTINCT FROM

• Checking for missing data with IS NULL, IS NOT NULL, and alternatives

• Boolean checks like IS TRUE, IS FALSE, and IS UNKNOWN

• Row-level null comparisons and their tricky behavior

• Handy functions like num_nulls() and num_nonnulls() for analyzing null values

We’ll also cover best practices, pitfalls, and performance tips to ensure your queries run efficiently while avoiding common mistakes with null handling and cross-type comparisons.

📌 This is part of the PostgreSQL Full Playlist, so make sure to check out the other videos if you want to master PostgreSQL step by step.

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!

✅ Subscribe, Like, Comment & Share to support the channel and stay updated with the latest tutorials.

Data Types in PostgreSQL: XML Data Types || PostgreSQL Full Playlist #54

In this video (#54 of our PostgreSQL Full Playlist), we dive deep into the XML Data Type in PostgreSQL — a powerful and structured way to store and process XML content directly in your database!

We start by exploring how the xml type differs from regular text, including its built-in validation for well-formed XML and compatibility with XML functions like xmlparse, xmlserialize, and xpath.

You’ll learn:

• How to insert XML documents and fragments using XMLPARSE

• PostgreSQL-specific shorthand syntax for XML data

• How to convert XML back into text format using XMLSERIALIZE

• Encoding best practices to avoid client-server issues

• How to query XML using xpath() for data extraction

• Workarounds for indexing XML using full-text search

• Checking whether a stored XML value is a document or content fragment

This video also covers best practices, potential pitfalls, and performance tuning advice when working with XML data in PostgreSQL.

Whether you're building APIs, handling metadata, or managing config files — XML in PostgreSQL is a must-have tool in your toolkit. Don't forget to watch till the end and subscribe for more database tutorials!

📌 Subscribe for the full PostgreSQL series and stay updated with all episodes.
🧠 Chapters are included for quick navigation.

Data Types in PostgreSQL: UUID Data Types || PostgreSQL Full Playlist #53

Welcome to Part 53 of our full PostgreSQL tutorial playlist! 🎥
In this video, we explore the UUID (Universally Unique Identifier) data type in PostgreSQL — a crucial tool for distributed systems and secure, globally unique identifiers.

UUIDs are 128-bit identifiers standardized by RFC 4122, and PostgreSQL provides native support for them using the uuid data type. We'll guide you through:

• What UUIDs are and how they're formatted

• Differences between UUID and SERIAL types

• How to use the uuid-ossp extension to generate UUIDs

• Creating tables with UUID primary keys

• Writing SQL statements using UUIDs (including inserts, selects, and references)

• Use cases and performance considerations

• Bonus: Real-life examples for UUID-based design

💡 Whether you're building microservices, secure APIs, or scalable systems — UUIDs can give your application a powerful edge in uniqueness and security.

📥 Like, Share, and Subscribe to stay updated with practical PostgreSQL learning!

Data Types in PostgreSQL: Text Search Data Types || PostgreSQL Full Play...

In this video, we dive deep into Text Search Data Types in PostgreSQL, focusing on the powerful combination of tsvector and tsquery. These types form the foundation of PostgreSQL’s built-in Full-Text Search capabilities, enabling developers to perform fast and accurate text searches directly within the database—without needing external tools.

We begin by exploring the tsvector type, which is used to store normalized searchable content, and learn how to manage lexemes, weights, and positions. Then, we examine the tsquery type, which enables rich search logic using Boolean operators, prefix matching, phrase matching (<->), and more.

This tutorial also includes:

• Creating tables and inserting text data

• Using to_tsvector() and to_tsquery() for normalization

• Matching vectors with queries using the @@ operator

• Improving performance with GIN indexes

• Automatically updating vectors via triggers

• Ranking results using ts_rank

• Highlighting search results with ts_headline

• Debugging with ts_debug

Whether you're building a blog search, product catalog filter, or document search engine, PostgreSQL makes it all possible—natively. This is an essential episode in our PostgreSQL Full Playlist. Don’t forget to like, comment, and subscribe!

Data Types in PostgreSQL: Bit String Data Types || PostgreSQL Full Playl...

Welcome to Episode #51 of our PostgreSQL Full Playlist! 🎬

In this tutorial, we dive deep into Bit String Data Types in PostgreSQL—BIT(n) and BIT VARYING(n). These types allow you to store and manipulate binary sequences (1s and 0s), perfect for compact data storage like bitmasks, feature flags, and permission sets.

We’ll cover:

• What are BIT(n) and BIT VARYING(n) types?

• The difference between fixed and variable-length bit strings

• How to insert valid/invalid values

• How casting affects storage (padding and truncation)

• Real-world use cases

• Using bitwise operators (AND, OR, XOR, NOT)

• Useful bit string functions like LENGTH() and OCTET_LENGTH()

• Common pitfalls and advanced tips

With full examples and clear explanations, this video is ideal for both beginners and intermediate PostgreSQL learners.

📌 Don't forget to:
👍 Like | 💬 Comment | 🔔 Subscribe | 📂 Watch the full playlist for more PostgreSQL concepts!

Data Types in PostgreSQL: Network Address Data Types || PostgreSQL Full ...

In this video, we explore Network Address Data Types in PostgreSQL — an essential part of working with IP addresses and MAC addresses directly in the database.

You’ll learn how PostgreSQL provides specialized support for IP address types such as inet (IPv4/IPv6 hosts), cidr (network blocks), and MAC address formats like macaddr and macaddr8. These data types are far more reliable and efficient than storing IPs as plain text, allowing for input validation, indexing, subnetting operations, and more.

We also provide practical examples, including:

• Creating tables using inet, cidr, macaddr, and macaddr8

• Inserting and querying IP and MAC addresses

• Using powerful built-in functions like host(), netmask(), abbrev(), and macaddr8_set7bit()

• Understanding the difference between inet and cidr

If you're building applications involving network infrastructure, IoT devices, firewalls, or logging systems — this tutorial is a must-watch!

📌 Full Playlist: Don’t forget to check out the complete PostgreSQL series if you’re following along from the start.

👉 Like | 💬 Comment | 🔔 Subscribe | 📤 Share

Data Types in PostgreSQL: Date/Time/Interval Data Types || PostgreSQL Fu...

Welcome to Episode 49 of the PostgreSQL Full Playlist! In this tutorial, we explore one of the most important areas of database development — Date/Time and Interval Data Types in PostgreSQL.

PostgreSQL provides highly flexible and powerful temporal data types including DATE, TIME, TIMESTAMP, TIMESTAMPTZ, and INTERVAL. Whether you're handling simple dates, calculating durations, or dealing with timezone-aware timestamps, this video will guide you through all the critical concepts with real-world use cases, hands-on SQL examples, and expert-level insights.

You will learn:

• The difference between TIMESTAMP and TIMESTAMPTZ

• How to use and format INTERVAL for date arithmetic

• How time zone conversion works using AT TIME ZONE

• Date formatting with datestyle and intervalstyle

• Special constants like now, epoch, today, and yesterday

• Functions like CURRENT_DATE, DATE_TRUNC, EXTRACT, and more!

💡 This video is perfect for:

• Students learning databases

• Backend developers handling temporal data

• Data engineers dealing with time-series data

• Anyone preparing for SQL interviews or certifications

👉 Don’t forget to LIKE, SUBSCRIBE, and SHARE if you find this helpful. Drop your questions or feedback in the comments — I’d love to help out!

🔔 Subscribe for more PostgreSQL and Database tutorials.

Data Types in PostgreSQL: Binary (BYTEA) Data Types || PostgreSQL Full P...

📦 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.

Data Types in PostgreSQL: ENUM (Enumerated) Data Types || PostgreSQL Ful...

In this tutorial, we dive deep into Enumerated (ENUM) Data Types in PostgreSQL – one of the most powerful ways to enforce data integrity and readability in your database schema. 🎯

You’ll learn how to create and use ENUM types to define columns with a fixed set of valid values, like moods, statuses, or categories. We’ll walk through step-by-step examples showing how to:

• Declare ENUM types using CREATE TYPE

• Use ENUMs in tables with INSERT and SELECT

• Understand ENUM ordering and comparison operators

• Avoid type mismatches and safely cast ENUMs

• Add or rename ENUM values using ALTER TYPE

• Inspect ENUM values via PostgreSQL system catalogs

We also cover type safety, implementation details, and best practices when deciding between ENUMs and lookup tables.

Whether you're a PostgreSQL beginner or brushing up on advanced data types, this video is a must-watch to strengthen your schema design skills.

📌 Don't forget to check out the full PostgreSQL Playlist for more structured learning!

🔔 Like, Share, and Subscribe for more PostgreSQL tutorials!
#PostgreSQL #DatabaseDesign #PostgresENUM #SQLTutorial #DataTypes