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Stop Slow Queries! Master SQL Optimization in 10 Easy Steps
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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! 👇
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