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.

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: 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: 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: 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

Select Lists in PostgreSQL || Queries in PostgreSQL || Best PostgreSQL T...

🔍 Welcome to the Ultimate PostgreSQL Tutorial Series!
In this video (#37), we dive deep into one of the most crucial parts of any SQL query—the SELECT list. Whether you're a beginner or brushing up your database skills, this tutorial will guide you through the many ways PostgreSQL lets you customize the data you retrieve.

👨‍💻 What You'll Learn:

• How to select all or specific columns

• Using table aliases for cleaner queries

• Creating computed columns with expressions

• Renaming outputs with column aliases (AS)

• Eliminating duplicates with DISTINCT and DISTINCT ON

• Leveraging subqueries, functions, and CASE expressions

• Working with JSON, arrays, and aggregate functions

• Using LIMIT, OFFSET, and even SELECT without a FROM clause

• Advanced techniques like CTEs (Common Table Expressions)

✨ With practical examples, best practices, and performance tips, this tutorial is your go-to guide for mastering SELECT lists in PostgreSQL!

🧠 Next Video: Combining Queries in PostgreSQL – UNION, INTERSECT, EXCEPT
👍 Don't forget to like, subscribe, and turn on notifications for more powerful PostgreSQL lessons.

The GROUP BY And HAVING Clauses || Queries In PostgreSQL || Best Postgre...

Master the GROUP BY and HAVING clauses in PostgreSQL with real-world examples! 🚀 In this tutorial, we explore how GROUP BY helps in summarizing data and how HAVING filters the grouped results. These SQL clauses are crucial for data analysis, reporting, and decision-making. 🔹 What You’ll Learn in This Video? ✔️ How GROUP BY organizes data into meaningful groups ✔️ Using aggregate functions like SUM(), COUNT(), AVG() with GROUP BY ✔️ Applying HAVING to filter grouped results ✔️ Practical examples with employee salary analysis & online order revenue calculations 💻 Example Queries Used in This Video: 📌 Employee Salary Analysis Calculate total salary per department Count employees in each department 📌 Online Orders Revenue Analysis Find total revenue per product Filter high-revenue products using HAVING 📚 Sample Query – Total Revenue per Product SELECT product, SUM(quantity * price) AS total_revenue FROM orders GROUP BY product; 🔥 Ready to level up your SQL skills? Watch the full tutorial and practice along! 📢 Next Video: GROUPING SETS, CUBE, and ROLLUP in PostgreSQL 🔔 Subscribe for more PostgreSQL tutorials!

The WHERE Clause In Table Expressions || Queries In PostgreSQL || Best P...

The WHERE clause in PostgreSQL is a powerful tool used to filter records based on specific conditions. It plays a crucial role in SQL queries by ensuring that only the necessary data is retrieved, leading to improved performance and efficiency. Whether you're working with SELECT, UPDATE, DELETE, or other SQL commands, understanding the WHERE clause is essential for effective database management.

🔹 What You'll Learn in This Video:
✅ Basic filtering with the WHERE clause
✅ Using IN, BETWEEN, and LIKE for advanced filtering
✅ Handling NULL values in WHERE conditions
✅ Combining WHERE with JOINs for optimized queries
✅ Applying logical operators (AND, OR, NOT) for precise conditions
✅ Using EXISTS and subqueries for powerful data selection

💡 SQL Examples Covered:
✔ Filtering employees based on salary and department
✔ Using subqueries to fetch relevant department data
✔ Checking if records exist in related tables
✔ Pattern matching with LIKE
✔ Filtering records based on date conditions

This tutorial includes practical examples using PostgreSQL, making it easy for beginners and advanced users to grasp the concepts. By mastering the WHERE clause, you can significantly improve your database queries and optimize data retrieval.

📌 Next Video: Queries in PostgreSQL – The GROUP BY and HAVING Clauses in PostgreSQL

📢 Don't forget to like, share, and subscribe for more PostgreSQL tutorials! 🚀

#PostgreSQL #SQLQueries #WHEREClause #DatabaseOptimization

How To Track Dependent Objects In PostgreSQL || Best PostgreSQL Tutorial...

Managing dependencies in PostgreSQL is crucial for maintaining database integrity. In this tutorial, we explore how PostgreSQL tracks dependent objects and prevents accidental deletions. 🔹 Understanding Dependency Tracking PostgreSQL ensures that if an object (like a table, function, or type) has dependencies, it cannot be dropped unless explicitly handled. This mechanism prevents orphaned objects and data inconsistencies. 🔹 Foreign Key Dependency Example Consider a products table and an orders table where orders.product_no references products.product_id. If we attempt to drop the products table, PostgreSQL throws an error, warning us about the foreign key constraint. 🔹 Using CASCADE and RESTRICT CASCADE: Automatically removes all dependent objects when dropping a parent object. RESTRICT: Prevents dropping an object if dependencies exist, ensuring safe deletion. 🔹 Function and Type Dependencies Functions can depend on tables and types. PostgreSQL tracks dependencies for types but may not track tables unless the function is written in a SQL-standard format using BEGIN ATOMIC. Dropping a type will force PostgreSQL to remove dependent functions. 🔹 Best Practices ✅ Always check dependencies before dropping objects. ✅ Use CASCADE with caution to avoid unintended deletions. ✅ Write SQL-standard functions if table dependencies need tracking. Watch the full video to see practical demonstrations and error-handling strategies in PostgreSQL! 🚀 📌 Next Up: Data Manipulation in PostgreSQL – Inserting Data 📢 Subscribe for more PostgreSQL tutorials! 👍

How To Create Partitions In PostgreSQL || Partitions Explained || Best P...

Managing large datasets in PostgreSQL can be challenging, but Table Partitioning makes it easier! 🚀 In this video, we’ll dive into Declarative Partitioning, how it helps optimize performance, and how to implement Range, List, and Hash partitions in PostgreSQL. 🔹 What You Will Learn: ✔ What is Table Partitioning and why it is useful ✔ Different types of Partitioning (Range, List, Hash) ✔ Step-by-step Partition Creation & Management ✔ Using Partition Pruning to improve query performance ✔ Key differences between Partitioning and Inheritance 🔹 Example Queries & Hands-On Demonstration 📌 Range Partitioning – Storing sales data per month 📌 List Partitioning – Organizing data by regions 📌 Hash Partitioning – Distributing data efficiently across partitions 📌 Partition Pruning – Optimizing queries for better performance 🔹 Why Should You Use Partitioning? ✅ Faster Queries by scanning only relevant partitions ✅ Efficient Bulk Deletion without impacting the whole table ✅ Improved Storage Management for older & recent data ✅ Better Performance with parallel query execution 🔔 Don’t forget to LIKE 👍, SHARE 🔄, and SUBSCRIBE 🔔 for more PostgreSQL tutorials! 💬 Have questions? Drop them in the comments! #PostgreSQL #DatabasePartitioning #SQLOptimization #TechTutorial PostgreSQL, Table Partitioning PostgreSQL, Range Partitioning, List Partitioning, Hash Partitioning, PostgreSQL Tutorial, SQL Performance, PostgreSQL Optimization, Database Partitioning, SQL Partitioning, PostgreSQL Partitions, SQL Query Performance, Declarative Partitioning, PostgreSQL Hash Partitioning, PostgreSQL Range Partitioning, SQL Bulk Deletion, PostgreSQL Partition Pruning, SQL Query Optimization, PostgreSQL Data Management, postgresql performance, partition example

What Is A Schema In PostgreSQL? PostgreSQL Schemas Explained || Best Pos...

Welcome to the Best PostgreSQL Tutorial Series! 🎥 In this video (#22), we explore the concept of schemas in PostgreSQL, a crucial tool for database management.

A schema in PostgreSQL is a logical namespace within a database, allowing you to group related objects such as tables, sequences, indexes, and views. This makes database organization more efficient and prevents naming conflicts in shared databases. Think of schemas as directories in an operating system—but without nesting capabilities.

What You'll Learn in This Video:

📌 Introduction to Schemas:

• What schemas are and how they work in PostgreSQL.
• The hierarchy of database clusters, databases, and schemas.

📌 Benefits of Using Schemas:

• Logical grouping of objects for better manageability.
• Separation of users and applications.
• Avoiding naming conflicts.

📌 Hands-On Examples:

• Creating schemas using CREATE SCHEMA.
• Adding objects (like tables) to schemas using qualified names.
• Exploring the public schema and its default behavior.

📌 Schema Search Path:

• Learn how PostgreSQL determines where to look for unqualified object names.
• Customize the search path and control object access.

📌 Restricting Access with Schemas:

• How to assign schema ownership to specific users.

By the end of this video, you'll understand how schemas work and be able to organize your PostgreSQL databases like a pro! 🚀

Don’t forget to like 👍, share 🔄, and subscribe 🔔 for more database tutorials.

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);

Constraints In PostgreSQL | UNIQUE Key Constraint In PostgreSQL | Best P...

Welcome to another informative episode of our PostgreSQL tutorial series! In this video, we dive into the concept of constraints in PostgreSQL, focusing specifically on the UNIQUE key constraint. Understanding constraints is vital for maintaining data integrity and ensuring that your database follows your intended rules and structure.

We will walk you through what the UNIQUE key constraint is and why it's crucial in database management. You'll learn how this constraint prevents duplicate values in specified columns, enhancing data consistency and reliability. We’ll also demonstrate how to create and use the UNIQUE key constraint effectively in your PostgreSQL tables, including practical examples to solidify your understanding.

Whether you’re a beginner getting familiar with database concepts or an experienced developer refining your skills, this tutorial will provide you with the knowledge and confidence to implement UNIQUE key constraints efficiently. Stay tuned and level up your PostgreSQL expertise!

PostgreSQL, UNIQUE key constraint, data integrity, PostgreSQL tutorial, database constraints, SQL, database management, PostgreSQL UNIQUE, constraints in PostgreSQL, best practices PostgreSQL, SQL constraints, PostgreSQL data validation, programming, database development, software engineering, database design

What Is NOT NULL Constraint In PostgreSQL Tables? Best PostgreSQL Tutori...

Understanding data integrity is crucial in any database system, and the NOT NULL constraint in PostgreSQL plays a vital role in ensuring that integrity. In this video, we take a deep dive into what the NOT NULL constraint is, how it works, and why it is so essential when designing your database tables.

You'll learn:

• The core purpose of using the NOT NULL constraint.
• How it prevents null values and safeguards your data.
• Practical examples demonstrating its impact and usage.

Whether you are new to PostgreSQL or looking to refine your database management skills, this tutorial will give you a solid understanding of one of the foundational constraints. Join us and take a step closer to mastering PostgreSQL!

Make sure to subscribe and turn on notifications to stay updated with our latest PostgreSQL tutorials.

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Why pgAgent Not Working On Another Database Other Than Postgres || How T...

Why pgAgent Not Working On Another Database Other Than Postgres || How To Resolve/Fix pgAgent Jobs Welcome to our channel! In this video, we dive deep into the common issue of pgAgent not working on databases other than Postgres and provide a step-by-step guide on how to resolve and fix pgAgent jobs using DB link in PostgreSQL. pgAgent is a popular scheduling agent used to automate tasks in PostgreSQL. However, many users encounter problems when trying to use pgAgent with databases other than Postgres. This video is designed to help you understand why these issues occur and how to troubleshoot them effectively using DB link. In this video, we cover: Introduction to pgAgent: What is pgAgent? Key features and benefits of using pgAgent for task scheduling in PostgreSQL. Common Issues with pgAgent on Non-Postgres Databases: Why pgAgent may not work seamlessly with other databases. Specific error messages and symptoms you might encounter. Understanding DB Link: What is DB link in PostgreSQL? How DB link facilitates communication between PostgreSQL and other databases. Implementing DB Link to Resolve pgAgent Issues: Step-by-step guide on setting up DB link in PostgreSQL. Configuring DB link to connect to your target database. Demonstrating how to use DB link within pgAgent jobs. Troubleshooting Steps: Checking pgAgent and DB link configuration settings. Ensuring proper permissions and roles are set up in your database. Verifying connection strings and network settings. Fixing pgAgent Jobs: Modifying job definitions to use DB link for cross-database operations. Examples of job scripts that leverage DB link for seamless task execution. Best Practices and Tips: How to set up pgAgent and DB link for optimal performance. Tips to avoid common pitfalls and ensure smooth operation of scheduled jobs. Q&A and Additional Resources: Addressing viewer questions and common concerns. Providing links to documentation, forums, and further reading materials. By the end of this video, you will have a clear understanding of how to troubleshoot and resolve issues with pgAgent on databases other than Postgres using DB link. Whether you are a database administrator or a developer, these insights will help you maintain a smooth and efficient task scheduling system. Like this video if you found it helpful. Subscribe to our channel for more tutorials and tech tips. Comment below if you have any questions or suggestions for future videos. Thank you for watching, and happy troubleshooting! #pgAgent #PostgreSQL #DatabaseManagement #DBLink #TechTips #DatabaseAdmin #TaskScheduling #pgAgentFix #DatabaseTroubleshooting

-- DB Link In PostgreSQL

CREATE EXTENSION dblink;

CREATE SERVER server_dvdrental_remote 

FOREIGN DATA WRAPPER dblink_fdw 

OPTIONS (host 'localhost', dbname 'dvdrental', port '5432');

GRANT USAGE ON FOREIGN SERVER server_dvdrental_remote TO postgres;

 CREATE USER MAPPING

    FOR postgres

 SERVER server_dvdrental_remote

OPTIONS (user 'postgres', password 'root');

SELECT dblink_connect('conn_db_link','server_dvdrental_remote');

CREATE TABLE emp (empid numeric, empname text);

select * from emp;

SELECT dblink_exec('conn_db_link', 'INSERT INTO emp (empid, empname) VALUES (7,''Akram'');');

SELECT dblink_exec('conn_db_link', 'INSERT INTO emp (empid, empname) VALUES (3,''Sohail'');');

SELECT * from dblink('conn_db_link','select * from emp') AS x(a int,b text);

--Why pgAgent Not Working On Another Database Other Than Postgres

--How To Schedule Job In pgAgent On Another Database Other Than Postgres || DB Link

CREATE TABLE emp (empid numeric, empname text);

select * from emp;

select * from pgagent.pga_schedule;

select * from pgagent.pga_job;

select * from pgagent.pga_jobstep;

SELECT * FROM pgagent.pga_jobsteplog order by jslstart desc;

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How To Create A Database In PostgreSQL 16 Using pgAdmin 4 Or psql SQL Sh...

In this comprehensive tutorial, you'll learn how to create a database in PostgreSQL 16 using both pgAdmin 4 and the psql SQL Shell. Whether you're new to PostgreSQL or looking to expand your database management skills, this video provides step-by-step guidance on two popular methods for database creation. We'll start by walking you through the graphical interface of pgAdmin 4, ideal for beginners who prefer a user-friendly approach. Next, we'll dive into the command line with psql, where you'll learn the necessary SQL commands to create and manage databases efficiently. By the end of this video, you'll be equipped with the knowledge to set up your PostgreSQL environment and create databases using the method that best suits your workflow. Perfect for developers, database administrators, and anyone interested in mastering PostgreSQL 16.

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CREATE DATABASE "Akram_DB"

    WITH

    OWNER = postgres

    ENCODING = 'UTF8'

    LC_COLLATE = 'English_United States.1252'

    LC_CTYPE = 'English_United States.1252'

    LOCALE_PROVIDER = 'libc'

    TABLESPACE = pg_default

    CONNECTION LIMIT = -1

    IS_TEMPLATE = False;

COMMENT ON DATABASE "Akram_DB"

    IS 'This is a demo database';

Create table TestDemo(id numeric, name character varying(50) not null);

select version();

CREATE DATABASE testdemo2_db

    WITH

    OWNER = postgres

    ENCODING = 'UTF8'

    LC_COLLATE = 'English_United States.1252'

    LC_CTYPE = 'English_United States.1252'

    LOCALE_PROVIDER = 'libc'

    TABLESPACE = pg_default

    CONNECTION LIMIT = -1

    IS_TEMPLATE = False;

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How To Call A Stored Procedure/Function From A Trigger Function In Postg...

In this tutorial, you will learn how to call a stored procedure or function from a trigger function in PostgreSQL. This video is designed for developers and database administrators who want to automate tasks or enforce business rules by leveraging the power of triggers in PostgreSQL. We'll begin by explaining what triggers are and how they work within a PostgreSQL database. Next, we'll walk you through the process of creating a trigger function that can invoke a stored procedure or function whenever a specific event occurs in your database, such as an insert, update, or delete operation. You'll see practical examples and gain insights into how this powerful feature can enhance your database applications. By the end of this tutorial, you'll be confident in your ability to implement triggers that call stored procedures or functions, adding a new level of automation and functionality to your PostgreSQL projects.

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Please Like, Comment, and Subscribe to my channel. ❤

Working with triggers is fun and learning. There are endless possibilities that can be achieved through Triggers.

This time, I have explained the usage of Triggers to call other stored procedures or functions in PostgreSQL Trigger Functions.

#trigger #procedure #function #postgresql #database

CREATE TABLE students

(

    roll numeric(10,0),

    name character varying(30),

    course character varying(30)

);

CREATE OR REPLACE PROCEDURE 

trigger_proc(in_value1 IN numeric, in_value2 IN numeric, out_result OUT numeric)

LANGUAGE 'plpgsql'

AS $BODY$

Declare

lv_msg CHARACTER varying(100);

Begin

  out_result := in_value1 + in_value2;

exception

when others then

lv_msg := 'Error : '||sqlerrm;

raise notice '%',lv_msg;

end;

$BODY$;

CREATE OR REPLACE FUNCTION 

trigger_func(in_value1 IN numeric, in_value2 IN numeric) returns numeric

LANGUAGE 'plpgsql'

AS $BODY$

Declare

lv_msg CHARACTER varying(100);

out_result numeric (10);

Begin

  out_result := in_value1 + in_value2;

return out_result;

exception

when others then

lv_msg := 'Error :'||sqlerrm;

raise notice '%',lv_msg;

end;

$BODY$;

CREATE OR REPLACE FUNCTION student_logs_trg_func()

    RETURNS TRIGGER

    LANGUAGE 'plpgsql'

AS $BODY$

declare

lv_out_proc numeric(10);

lv_out_func numeric(10);

begin

call trigger_proc(50, 50, lv_out_proc);

lv_out_func := trigger_func(100, 100);

raise notice 'Proc Output: %',lv_out_proc;

raise notice 'Func Output: %',lv_out_func;

return new;

end;

$BODY$;

CREATE TRIGGER student_trg

    BEFORE INSERT OR DELETE OR UPDATE 

    ON students

    FOR EACH ROW

    EXECUTE FUNCTION student_logs_trg_func();

Insert into students values (1, 'Akram', 'MCA');

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