Stop Slow Queries! Master SQL Optimization in 10 Easy Steps
HTML-код
- Опубликовано: 26 окт 2024
- 🚀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! 🚀
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! 👇
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.)
Will you suggest any best Sql query optimization videos form basic to advance thanks.
Hi this plsql book not available now in Amazon...can you give any other link to bye this book
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.
Good tips !!
Great!
Thank you! If you could quickly master any advanced SQL skill, what would it be and why?
Make video about how to improve performance and its types.
Good info
please make a proper video on this topic.