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;

pgAgent, pgAgent issues, pgAgent troubleshooting, pgAgent job errors, pgAgent non-Postgres database, PostgreSQL, database management, resolve pgAgent problems, fix pgAgent jobs, pgAgent configuration, pgAgent alternative databases, database scheduling issues, PostgreSQL job scheduler, pgAgent setup, database automation

How To Create And Connect DB Link In PostgreSQL || Access/Connect Remote...

-- 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);

Welcome to our comprehensive tutorial on creating and connecting database links in PostgreSQL! In this video, we'll guide you through the entire process of setting up and utilizing DB links to access and connect remote databases within PostgreSQL.

What You'll Learn:

1. Introduction to DB Links:

   • Understand what database links are and why they are useful in PostgreSQL.
   • Explore the benefits of connecting remote databases for data sharing and integration.

2. Prerequisites:

   • Ensure your PostgreSQL environment is properly set up.
   • Verify necessary permissions and access rights for creating DB links.

3. Creating a DB Link:

   • Step-by-step instructions to install the postgres_fdw extension.
   • Detailed guide on configuring and creating a foreign server.
   • Setting up user mappings to define authentication methods for remote connections.

4. Connecting to a Remote Database:

   • Learn how to use the CREATE FOREIGN TABLE command to map tables from the remote database.
   • Execute queries on the remote database as if they were local tables.
   • Tips on optimizing performance and ensuring secure connections.

5. Practical Examples:

   • Real-world scenarios and examples of using DB links for data integration.
   • Troubleshooting common issues encountered while creating and using DB links.

6. Best Practices:

   • Security considerations and best practices for managing remote connections.
   • Performance tuning and optimization strategies for efficient data retrieval.

By the end of this tutorial, you will have a solid understanding of how to create and manage DB links in PostgreSQL, enabling you to seamlessly connect and interact with remote databases. Whether you are a database administrator, developer, or data enthusiast, this video will equip you with the skills to enhance your PostgreSQL database capabilities.

PostgreSQL, DB link, create DB link, connect DB link, remote database access, PostgreSQL remote connection, database link setup, PostgreSQL tutorial, database management, pgAdmin, connect remote database, SQL

Don't forget to like, share, and subscribe for more insightful tutorials on PostgreSQL and other database management topics!

How To Drop All Tables/Views At Once In PostgreSQL || Dynamic SQL In Pos...

🔍 𝐒𝐭𝐫𝐮𝐠𝐠𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐌𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐓𝐚𝐛𝐥𝐞𝐬/𝐕𝐢𝐞𝐰𝐬 𝐢𝐧 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐒𝐐𝐋? 🔍

I'm excited to share my latest YouTube video where I walk you through a practical and advanced use case in PostgreSQL: 𝐇𝐨𝐰 𝐭𝐨 𝐃𝐫𝐨𝐩 𝐀𝐥𝐥 𝐓𝐚𝐛𝐥𝐞𝐬 𝐚𝐧𝐝 𝐕𝐢𝐞𝐰𝐬 𝐚𝐭 𝐎𝐧𝐜𝐞 𝐔𝐬𝐢𝐧𝐠 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐒𝐐𝐋.

In this tutorial, you’ll learn:

• The Intricacies of Dynamic SQL in PostgreSQL: Understand the fundamentals and advanced concepts of using dynamic SQL to perform complex database operations.

• Step-by-Step Instructions to Drop All Tables and Views Efficiently: Follow a clear and detailed guide to safely and efficiently remove all tables and views from your PostgreSQL database in one go.

• Advanced Tips for Managing Your Database Like a Pro: Gain valuable insights and best practices for database management, ensuring you handle your PostgreSQL environments with confidence and expertise.

Throughout the video, I'll provide practical examples and explain each step in detail to ensure you have a thorough understanding of the process. This tutorial is designed to help you:

• Save time and effort by automating the process of dropping tables and views
• Enhance your skills in writing and executing dynamic SQL scripts
• Improve your overall database management capabilities

Whether you're a seasoned database administrator or just getting started with PostgreSQL, this video is packed with valuable insights to enhance your skills and make your workflow more efficient.

🎥 Watch the full video [here]

If you find the tutorial helpful, please make sure to like the video, share it with others who might benefit, and subscribe to my channel for more tech tutorials and database management tips!

🔔 Stay updated with the latest content by clicking the notification bell so you never miss an upload!

Feel free to leave any questions or feedback in the comments section below—I’d love to hear from you and help you with any challenges you’re facing.

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

Thank you for watching and supporting the channel!

select * from information_schema.tables where table_schema='public';

create or replace procedure public.drop_objects()

language 'plpgsql'

as $body$

declare

lv_query text;

rec1 record;

cur1 cursor for 

select table_name, table_type from information_schema.tables where table_schema='public';      

begin

open cur1;

loop

fetch cur1 into rec1;

exit when not found;

begin

lv_query:= null;

lv_query := 'drop '||replace(rec1.table_type,'BASE','')||' '||rec1.table_name||' cascade';

raise notice '%',lv_query;

EXECUTE lv_query;

exception when others then

null;

end;

end loop;

close cur1;

end;

$body$;

call public.drop_objects();

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;