Showing posts with label data handling. Show all posts
Showing posts with label data handling. Show all posts

Wednesday, 30 October 2024

How To Create Generated Columns In PostgreSQL Tables? || Best PostgreSQL...


In this video, we delve into generated columns in PostgreSQL – a feature that can streamline data management and enhance database performance. PostgreSQL generated columns allow you to define expressions that automatically compute values based on other columns in the same row, which is ideal for automating calculations, improving data integrity, and saving storage space by reducing redundant data.

You'll learn the fundamentals of creating generated columns, including:

  1. What are Generated Columns?
    Understand the basics and use cases where generated columns shine, helping to automate repetitive tasks and calculations.

  2. Syntax and Examples
    We go step-by-step through the syntax required for adding generated columns in PostgreSQL, followed by clear examples that demonstrate their application.

  3. Generated Column Types
    Learn the difference between virtual and stored generated columns and when to use each.

  4. Best Practices and Tips
    Discover tips on using generated columns effectively to improve performance, ensure data integrity, and reduce complexity in queries.

Whether you're a beginner or an advanced PostgreSQL user, this tutorial will enhance your database skills and optimize your data handling processes. 💻🔍 Be sure to like, subscribe, and hit the bell icon to stay updated with our latest tutorials on PostgreSQL and more!

Happy Learning! 🎓


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Wednesday, 4 January 2023

PostgreSQL Cursors || Cursors Available In PostgreSQL || Part 1 Simple C...


In this video, we introduce you to PostgreSQL Cursors, focusing on simple cursors as the first part of our series on cursors available in PostgreSQL. Cursors are an essential tool for managing large result sets, allowing you to retrieve and process data in smaller, more manageable chunks rather than all at once.

We start by explaining what a cursor is and how it works in PostgreSQL. You'll learn the scenarios where cursors are particularly useful, such as when working with large datasets or when you need to process query results row by row. The video then guides you through the steps to create and use a simple cursor, with clear and concise examples to help you understand how to implement this in your own database projects.

Additionally, we discuss best practices for using cursors effectively, ensuring that you can handle large amounts of data without overloading your system or causing performance issues. By the end of this tutorial, you'll have a solid understanding of how to leverage simple cursors in PostgreSQL, setting the foundation for more advanced cursor techniques in upcoming videos.

Whether you’re a beginner or looking to expand your PostgreSQL skills, this video is a great resource for understanding and utilizing cursors in your database operations.


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call simple_cursor();

create or replace procedure simple_cursor()
language plpgsql
as $$
declare
lv_string character varying(200);
rec1 record;
cur1 cursor for 
select actor_id, first_name, last_name as end_name from actor order by actor_id;
begin
open cur1;
loop 
fetch cur1 into rec1;
exit when not found;
lv_string := 'Actor ID: '||rec1.actor_id||', Actor First Name: '||rec1.first_name||', Actor Last Name: '||rec1.end_name;
raise notice '%',lv_string;
end loop;
close cur1;
exception when others then
raise notice 'Something Went Wrong';
end;
$$



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