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

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#PostgreSQL #SQLQueries #WHEREClause #DatabaseOptimization

The FROM Clause In Table Expressions || Queries In PostgreSQL || Best Po...

Understanding the FROM clause is crucial for writing efficient SQL queries in PostgreSQL. In this video, we’ll explore how the FROM clause works within table expressions and why it plays a vital role in retrieving, filtering, and joining data.

🔹 What You’ll Learn in This Video:

✔️ Basics of table expressions in PostgreSQL
✔️ Table inheritance and how it affects queries
✔️ CROSS JOIN, INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN
✔️ Using table and column aliases for better readability
✔️ Implementing subqueries within the FROM clause
✔️ Understanding LATERAL subqueries
✔️ Utilizing table functions to enhance data retrieval

🔹 Key Examples Covered:

✅ Creating and querying tables (employees and departments)
✅ Performing various types of joins to combine related data
✅ Using subqueries to simplify complex queries
✅ Writing functions to return sets of rows within the FROM clause

🚀 Why Watch This Video?

Whether you’re a beginner or an advanced PostgreSQL user, mastering the FROM clause will improve your database queries significantly. By the end of this tutorial, you'll be confident in handling table expressions, joins, and subqueries like a pro!

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Returning Data From Modified Rows In PostgreSQL || Best PostgreSQL Tutor...

In this video, we explore how to return data from modified rows using the RETURNING clause in PostgreSQL. PostgreSQL offers a powerful RETURNING clause with INSERT, UPDATE, DELETE, and MERGE commands that allows you to fetch data directly from affected rows without running an additional SELECT query.

The RETURNING clause is especially useful when working with auto-generated IDs (serial columns), computed columns, or trigger-influenced data, and helps in optimizing database interactions.

We will start by demonstrating INSERT statements with RETURNING, including how to fetch serial IDs and entire rows. Then, we cover UPDATE with RETURNING to get updated values in real-time, and DELETE with RETURNING to capture deleted rows for audit or logging purposes.

Moreover, you will learn how to combine MERGE with RETURNING for upsert operations, and how triggers interact with RETURNING to retrieve rows modified by triggers before final insertion.

✨ Key Highlights of this video:

• Syntax and usage of RETURNING clause.
• Efficient way to fetch modified rows after DML operations.
• Practical examples with INSERT, UPDATE, DELETE, MERGE.
• How RETURNING works with trigger-modified data.
• Real-time data retrieval without additional SELECT queries.

If you are working on PostgreSQL databases and want to optimize your data modification workflows, this video is for you! Watch till the end to fully master the RETURNING clause!

👉 Next Video: Table Expressions In PostgreSQL - The FROM Clause

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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.

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

The UPDATE statement in PostgreSQL is a crucial tool for modifying existing records within a table. Whether you need to update specific rows, apply conditional changes, or modify multiple columns at once, PostgreSQL provides powerful options to handle data updates efficiently.

In this tutorial, we explore various UPDATE scenarios:
✅ Basic updates for modifying specific rows
✅ Applying updates to all rows with calculations
✅ Updating multiple columns in a single query
✅ Using conditions with AND/OR operators
✅ Updating data based on subqueries
✅ Returning updated rows with the RETURNING clause
✅ Safe updates using primary keys
✅ Updating data through JOINs with other tables
✅ Applying conditional updates using CASE
✅ Using Common Table Expressions (CTEs) for structured updates

We also cover essential best practices to ensure safe updates, avoid unwanted modifications, and optimize query performance.

📌 SQL Examples Covered in the Video:

UPDATE products SET price = 200 WHERE price = 300;
UPDATE products SET price = price * 1.10;
UPDATE products SET price = price * 1.05, stock = stock - 2 WHERE stock > 5;
UPDATE products SET stock = stock + 5 WHERE name = 'Laptop' OR price < 200;
UPDATE products SET price = price * 1.10 WHERE product_id IN (SELECT product_id FROM products WHERE stock < 15);

... and many more!

🚀 By the end of this tutorial, you’ll have a solid understanding of how to effectively use the UPDATE statement in PostgreSQL for data manipulation.

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#PostgreSQL #SQL #Database #DML #DataManipulation