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