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 www.rebellionr...
============
Watch how to configure Oracle on VS Code • How To Setup ORACLE DA...
============
The camera gear I use in my Videos
www.amazon.in/...
============
Connect With Me on My Social Media
/ rebellionrider
/ therebellionrider
/ rebellionrider
/ mannbhardwaj
============
FAQ
Which book to refer to learn -
PL/SQL amzn.to/2QE1jX0
Performance Tuning amzn.to/2sgiAw4
1z0-071 Exam amzn.to/2sgfeJw
Python Programming 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! 🚀

[@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! 👇

[@shekhark1139]

Thanks for sharing man... I'll try and drop a comment.
I have a doubt, when having multiple joins (let's say 40+ tables inner join, how to optimize this query, need to join 40+ columns to retrieve data from diff columns, this is the challenge I've faced.)

[@nareshkumar-k5n4i]

Will you suggest any best Sql query optimization videos form basic to advance thanks.

[@AnandA-o7p]

Hi this plsql book not available now in Amazon...can you give any other link to bye this book

[@yeshichoedon7441]

Hi Manish ,quick question about sql server ?can sql server can track other server ?I mean this people can change fail to pass if u explain me that will great.

[@yogirajoo]

Good tips !!

[@umabharathyts1998]

Great!

[@Rebellionrider]

Thank you! If you could quickly master any advanced SQL skill, what would it be and why?

[@VAR21723]

Make video about how to improve performance and its types.

[@sureshkrishna9429]

Good info

[@mustansarhussain4807]

please make a proper video on this topic.