Complete PostgreSQL Course for Beginners - Stop Slow Queries! Master SQL Optimization in 10 Easy Steps

🚀How SQL optimization can improve database performance by up to 50%! Real-world examples to solidify your understanding. Master SQL Optimization in 10 Easy Steps🎯Explore the complete PL/SQL course for FREE on my website at https://www.rebellionrider.com/category/pl-sql/ ============ Watch how to configure Oracle on VS Code https://youtu.be/6mwAx4sGhwk ============ The camera gear I use in my Videos https://www.amazon.in/shop/manishsharma?listId=DU9UM0XL97KM&ref=idea_share_inf ============ Connect With Me on My Social Media https://www.instagram.com/RebellionRider/ https://www.facebook.com/TheRebellionRider/ https://twitter.com/RebellionRider https://www.linkedin.com/in/mannbhardwaj/ ============ FAQ Which book to refer to learn - PL/SQL https://amzn.to/2QE1jX0 Performance Tuning https://amzn.to/2sgiAw4 1z0-071 Exam https://amzn.to/2sgfeJw Python Programming https://amzn.to/305UEbh ============ AFFILIATE DISCLOSURE: Some of the links used in the description will direct you to Amazon.in. As an Amazon Associate, I earn from qualifying purchases at no additional cost to you. #rebellionrider ============= Hey everyone, it's Your Friend Manish here! 👋 As someone who has spent years diving deep into the world of databases, I've honed my skills and achieved some incredible milestones in SQL optimization. Today, I want to share my top 10 techniques that can significantly enhance your query performance. Ready to level up your SQL game? Let's dive in! 🚀 1️⃣ Use Column Names Instead of * in a SELECT Statement: This reduces unnecessary data retrieval and speeds up your queries. 2️⃣ Avoid including a HAVING clause in SELECT statements: Unless absolutely necessary, it’s more efficient to use WHERE clauses. 3️⃣ Eliminate Unnecessary DISTINCT Conditions: Simplify your queries and avoid redundant operations. 4️⃣ Un-nest sub queries: Flattening sub queries can often lead to more efficient execution plans. 5️⃣ Consider using an IN predicate when querying an indexed column: This can leverage indexes better than multiple OR conditions. 6️⃣ Use EXISTS instead of DISTINCT when using table joins that involves tables having one-to-many relationships: EXISTS can be more performant and easier for the database engine to optimize. 7️⃣ Try to use UNION ALL in place of UNION: UNION ALL is faster because it doesn't remove duplicate rows. 8️⃣ Avoid using OR in join conditions: Instead, use UNION or separate queries to handle different conditions. 9️⃣ Avoid functions on the right-hand side of the operator: Functions can prevent the use of indexes and slow down query performance. 🔟 Remove any redundant mathematics: Simplify your calculations within your queries to avoid unnecessary processing. Did you know? According to a study by IBM, optimizing SQL queries can improve database performance by up to 50% 🚀. Leveraging these techniques not only boosts efficiency but also ensures your applications run smoothly. Which of these tips are you excited to try out? Drop a COMMENT below and let me know! 👇 📺 Subscribe for more SQL tutorials and stay ahead in your tech journey! 🚀