Showing posts with label SQL Examples. Show all posts
Showing posts with label SQL Examples. Show all posts

Friday, 30 May 2025

LIMIT and OFFSET in PostgreSQL Queries || Queries in PostgreSQL || Postg...


Welcome to Lesson #40 in our PostgreSQL Full Playlist! In this video, we explore the powerful LIMIT and OFFSET clauses in PostgreSQL and how they help control the number of rows returned from a query. Whether you're building a backend for a web app or optimizing your data reports, mastering these clauses is essential.

We begin by understanding the syntax of LIMIT and OFFSET, followed by real-world examples using an employees table. You’ll learn how to:

  • Return a specific number of rows

  • Skip rows using OFFSET

  • Combine both for pagination

  • Use ORDER BY to ensure consistent and predictable results

We’ll also walk through advanced techniques like using CTEs (Common Table Expressions) for more powerful and flexible pagination with ROW_NUMBER().

🔍 Performance Alert: Learn why high OFFSET values can hurt performance and how to implement keyset pagination for large datasets.

Perfect for students, backend developers, and data analysts who want clean, performant SQL!

📌 Chapters:
0:00 - Introduction
1:10 - What is LIMIT and OFFSET?
2:45 - Creating the Employees Table
4:20 - LIMIT Examples
6:00 - OFFSET Examples
7:00 - Pagination with LIMIT & OFFSET
8:00 - Real-World Pagination Scenario
9:20 - Performance Notes & Keyset Pagination
11:00 - Using CTEs with ROW_NUMBER
12:30 - Conclusion

💡 Subscribe and turn on notifications so you don’t miss the next video: VALUES Lists in PostgreSQL!

Monday, 10 March 2025

DELETE Data Options In PostgreSQL || DELETE DML In PostgreSQL || Best Po...


Welcome to Best PostgreSQL Tutorial Video #30!
In this tutorial, we explore DELETE Data Options in PostgreSQL, an essential part of Data Manipulation Language (DML). You will learn how to delete specific rows, multiple rows based on conditions, and all rows from a table safely and efficiently.

We cover:
✅ Basic DELETE syntax to remove rows using conditions.
✅ How to delete data using the primary key for targeting specific rows.
✅ How to delete multiple rows with flexible WHERE conditions.
RETURNING clause to view deleted rows immediately.
✅ Advanced DELETE using USING clause for join-based deletions.
✅ Difference between DELETE and TRUNCATE commands.
✅ Best practices and caution points while using DELETE to avoid accidental data loss.

💡 Whether you're a beginner or an experienced PostgreSQL user, this tutorial will clarify all use cases of the DELETE command with practical examples, tips, and recommendations.

📊 Check out practical examples like deleting based on price, stock, and product names, and learn how to handle deletion efficiently in real-world databases.

👉 Don't forget to Like, Share, and Subscribe for more PostgreSQL tutorials and database management insights!

Friday, 3 January 2025

How To Return Refcursor From PostgreSQL Procedure || PostgreSQL Refcurso...


Unlock the power of refcursor parameters in PostgreSQL with this comprehensive tutorial! In this video, you'll learn how to create and utilize procedures that return refcursors, enabling dynamic result sets from your database.

Key Highlights:

  • Writing PostgreSQL procedures with multiple parameters.
  • Using the refcursor data type for flexible query results.
  • Step-by-step example demonstrating the refcursor_cursor procedure.
  • Fetching results from a refcursor after execution.

This tutorial explains the logic behind the example procedure, which accepts an actor ID as input, calculates the total number of films they are associated with, and dynamically returns film titles using a refcursor.

Code Explanation:

  • The procedure calculates the total number of films for an actor and opens a refcursor with the film titles.
  • Learn how to call this procedure and fetch the results efficiently.
  • Handle exceptions effectively to ensure reliable database operations.

Whether you're a beginner or a seasoned database professional, this video provides insights into advanced PostgreSQL concepts with practical examples to elevate your skills!

Make sure to watch the full video, try the code, and share your experience in the comments.


-- How To Return Refcursor From PostgreSQL Procedure

-- Multiple Parameters Involved

create or replace procedure 

refcursor_cursor(in_actor_id in integer, lv_ref_cur refcursor, total_films OUT numeric)

language plpgsql

as $$

begin

select 

count(*) into total_films 

from 

film_actor fa, 

film f 

where 

fa.film_id = f.film_id 

and fa.actor_id = in_actor_id;


open lv_ref_cur for

select 

'Title: ' || f.title as Title 

from 

film_actor fa, film f 

where fa.film_id = f.film_id 

and fa.actor_id = in_actor_id;

exception when others then

raise notice 'Something Went Wrong';

end;

$$


call refcursor_cursor(1,'lv_refcursor',2);

fetch all in lv_refcursor;


call refcursor_cursor(1,'lv_refcursor',2);

Sunday, 3 November 2024

Constraints In PostgreSQL || Primary Key Constraints || Best PostgreSQL ...


In this video, we explore the essential concept of Primary Key constraints in PostgreSQL. Understanding Primary Keys is fundamental for designing robust and efficient database tables, ensuring data integrity and consistency.

A Primary Key constraint guarantees that a column, or a group of columns, can be used as a unique identifier for rows in a table. It requires that values in these columns be both unique and not null. We will walk through practical examples to clarify these concepts:

  1. Example 1: Using individual UNIQUE and NOT NULL constraints to enforce data uniqueness and prevent null entries.
  2. Example 2: Simplifying table design with a PRIMARY KEY constraint, which automatically enforces both uniqueness and non-null properties.
  3. Example 3: Naming a PRIMARY KEY constraint and understanding its importance in database documentation.
  4. Example 4: Defining a PRIMARY KEY that spans multiple columns, which is useful in more complex scenarios.

By the end of this video, you'll grasp how Primary Key constraints work, why they are vital, and best practices for their usage. We’ll also cover automatic index creation by PostgreSQL when a Primary Key is defined and discuss table constraint rules, including the significance of having only one Primary Key per table.

This tutorial is a must-watch if you are aiming to design efficient, reliable, and well-structured databases in PostgreSQL. Stay tuned for our next lesson on Foreign Keys to build on this foundational knowledge!


PostgreSQL, Primary Key, Primary Key Constraint, Database, SQL Constraints, Data Integrity, Unique Identifier, SQL Tutorial, Database Design, PostgreSQL Tutorial, Relational Database, B-tree Index, SQL Best Practices, Multi-column Primary Key, Table Constraints, PostgreSQL Basics

Monday, 13 May 2024

Dynamic SQL In PostgreSQL || Use Cases And Usage Of Dynamic SQL With Exa...



Dynamic SQL in PostgreSQL | Use Cases and Examples Explained in pgAdmin

In this video, we'll dive into the world of dynamic SQL in PostgreSQL using pgAdmin, exploring various use cases and providing detailed examples to enhance your understanding. Dynamic SQL allows you to construct and execute SQL statements at runtime, offering flexibility and power in database management and manipulation. Here's what we'll cover:

  1. Run-Time DDL Example

    • Creating a sample table and a stored procedure to add columns dynamically.
    • Example: Adding a new column email to the employees table.
  2. Run-Time SCL (Session Control)

    • Setting session variables and roles dynamically.
    • Examples: Setting the session timezone and changing roles within a session.
  3. Dynamic Columns with Conditions

    • Filtering data dynamically based on various conditions.
    • Example: Filtering employees by department using a dynamic WHERE clause.
  4. Dynamic SELECT INTO Queries

    • Using dynamic SQL to fetch specific column values.
    • Examples: Fetching salaries based on employee names and dynamically constructing queries with multiple column retrieval.
  5. OPEN Refcursor RETURN Query

    • Executing dynamic queries and returning results using refcursors.
    • Example: Returning all employee details using a dynamic query.
  6. Dynamic Multiple-Row Query with Open Loop

    • Creating and executing queries that return multiple rows using loops.
    • Example: Fetching all employees from a specific department.
  7. Dynamic DML (Data Manipulation Language)

    • Updating table data dynamically.
    • Example: Updating the salary of an employee based on their ID.

By the end of this video, you'll have a solid grasp of how to leverage dynamic SQL in PostgreSQL to perform a wide range of database operations efficiently. Whether you're adding new columns on the fly, setting session parameters, or filtering and updating data dynamically, these examples will provide you with the tools and knowledge to implement dynamic SQL in your own projects.

PostgreSQL, dynamic SQL, dynamic SQL examples, pgAdmin, dynamic SQL usage, PostgreSQL tutorial, advanced SQL, SQL scripting, database management, SQL use cases, dynamic queries

Don't forget to like, share, and subscribe for more in-depth tutorials on PostgreSQL and other database technologies!


Run Time DDL Example
-------------------------------
-- Create a sample table
CREATE TABLE employees (
    id SERIAL PRIMARY KEY,
    name VARCHAR(100),
    department VARCHAR(100),
    salary NUMERIC(10, 2)
);

-- Sample stored procedure for dynamic DDL command
CREATE OR REPLACE FUNCTION alter_table(column_name VARCHAR, data_type VARCHAR) RETURNS VOID AS $$
BEGIN
    EXECUTE format('ALTER TABLE employees ADD COLUMN %I %s', column_name, data_type);
END;
$$ LANGUAGE plpgsql;

-- Call the stored procedure to add a new column dynamically
SELECT alter_table('email', 'VARCHAR(255)');


Run Time SCL, Session Control
------------------------------

-- Create a custom function to set session variables
CREATE OR REPLACE FUNCTION set_session_variable(var_name TEXT, var_value TEXT) RETURNS VOID AS $$
BEGIN
    EXECUTE format('SET SESSION %s TO %L', var_name, var_value);
END;
$$ LANGUAGE plpgsql;

-- Create a custom function to set session role
CREATE OR REPLACE FUNCTION set_session_role(role_name TEXT) RETURNS VOID AS $$
BEGIN
    EXECUTE format('SET ROLE %s', role_name);
END;
$$ LANGUAGE plpgsql;

select now();

-- Set a session variable
SELECT set_session_variable('timezone', 'UTC');

select now();

-- Set session role
SELECT set_session_role('dvdrental');

SELECT set_session_role('postgres');




Dynamic Columns at run time + Where Condition
------------------------------------------------

Drop table employees;

-- Create a sample table
CREATE TABLE employees (
    id SERIAL PRIMARY KEY,
    name VARCHAR(100),
    department VARCHAR(100),
    salary NUMERIC(10, 2)
);

-- Insert some sample data
INSERT INTO employees (name, department, salary) VALUES 
('John Doe', 'HR', 50000.00),
('Jane Smith', 'IT', 60000.00),
('Alice Johnson', 'Finance', 55000.00);

-- Create a stored procedure for dynamic WHERE condition
CREATE OR REPLACE FUNCTION filter_employees(attr_name TEXT, attr_value TEXT) RETURNS SETOF employees AS $$
BEGIN
    RETURN QUERY EXECUTE format('SELECT * FROM employees WHERE %I = %L', attr_name, attr_value);
END;
$$ LANGUAGE plpgsql;

-- Filter employees dynamically by department
SELECT * FROM filter_employees('department', 'IT');




Select INTO query
--------------------

-- Create a stored procedure for dynamic WHERE condition
CREATE OR REPLACE FUNCTION filter_employees2(attr_name TEXT, attr_value TEXT) RETURNS numeric AS $$
DECLARE
lv_salary numeric(10,0);
BEGIN
EXECUTE format('SELECT salary FROM employees WHERE %I = %L', attr_name, attr_value) INTO lv_salary;
return lv_salary;
END;
$$ LANGUAGE plpgsql;

-- Filter employees dynamically by department
SELECT * FROM filter_employees2('name', 'John Doe');


Select INTO Using query
-------------------------

-- Create a stored procedure for dynamic WHERE condition
CREATE OR REPLACE FUNCTION filter_employees3(attr_name TEXT, attr_value TEXT) RETURNS char AS $$
DECLARE
lv_salary numeric(10,0);
lv_name char(30);
BEGIN
EXECUTE 'SELECT salary, name FROM employees WHERE '||$1||' = '||$2||''
USING attr_name, attr_value INTO lv_salary,lv_name;
   
   return lv_name||' Having Salary: '||lv_salary;
END;
$$ LANGUAGE plpgsql;

-- Filter employees dynamically by department
SELECT * FROM filter_employees3('id', '1');



OPEN Refcursor RETURN Query
--------------------------

CREATE OR REPLACE FUNCTION get_employee_details(output_refcursor refcursor) RETURNS refcursor AS $$
DECLARE
    dynamic_query TEXT;
BEGIN
    dynamic_query := 'SELECT * FROM employees'; -- Your dynamic query here

    OPEN output_refcursor FOR EXECUTE dynamic_query;
    RETURN output_refcursor;
END;
$$ LANGUAGE plpgsql;

select get_employee_details('output_refcursor');
fetch all in output_refcursor;




Dynamic Multiple-Row Query, Open loop
-------------------------------------

Drop table employees;

-- Create a sample table
CREATE TABLE employees (
    id SERIAL PRIMARY KEY,
    name VARCHAR(100),
    department VARCHAR(100)
);

-- Insert some sample data
INSERT INTO employees (name, department) VALUES 
('John Doe', 'HR'),
('Jane Smith', 'IT'),
('Alice Johnson', 'Finance');

-- Create a function to dynamically execute query and return multiple rows
CREATE OR REPLACE FUNCTION dynamic_query(condition TEXT) RETURNS TABLE (id INT, name TEXT, department TEXT) AS $$
DECLARE
    emp_record employees%ROWTYPE;
    query TEXT;
BEGIN
    query := 'SELECT * FROM employees WHERE ' || condition;
    FOR emp_record IN EXECUTE query LOOP
        id := emp_record.id;
        name := emp_record.name;
        department := emp_record.department;
        RETURN NEXT;
    END LOOP;
    RETURN;
END;
$$ LANGUAGE plpgsql;

SELECT * FROM dynamic_query('department = ''IT''');




DML
----

Drop table employees;

-- Create a sample table
CREATE TABLE employees (
    id SERIAL PRIMARY KEY,
    name VARCHAR(100),
    department VARCHAR(100),
    salary NUMERIC(10, 2)
);

-- Insert some sample data
INSERT INTO employees (name, department, salary) VALUES 
('John Doe', 'HR', 50000.00),
('Jane Smith', 'IT', 60000.00),
('Alice Johnson', 'Finance', 55000.00);

CREATE OR REPLACE FUNCTION update_column_value(table_name TEXT, column_name TEXT, column_value TEXT, condition_column TEXT, condition_value TEXT) RETURNS VOID AS $$
DECLARE
    sql_statement TEXT;
BEGIN
    sql_statement := format('UPDATE %I SET %I = %L WHERE %I = %L', table_name, column_name, column_value, condition_column, condition_value);
    EXECUTE sql_statement;
END;
$$ LANGUAGE plpgsql;


SELECT update_column_value('employees', 'salary', '58700', 'id', '1');

select * from employees;