9 things I do to optimize my SQL

Did you know a Stanford study found poorly optimized SQL queries can waste up to 80% of execution time? My mentor always said, ‘Efficiency in SQL isn’t just a skill, it’s an art form.’ 💡 Reflecting on my journey, I’ve honed these practices to turbocharge query performance and unlock data insights faster than ever! 🏎️ Let’s dive into my top 9 tips:

1️⃣ Retrieve Only the Columns You Need: Trim the fat and boost speed by selecting specific columns in your queries. (say goodbye to SELECT *).📊

2️⃣ Use CASE Instead of UPDATE: Streamline conditional logic with CASE statements for efficient data manipulation. 🔄

3️⃣ Index Advantage: Think of indexes as super-powered shortcuts for your database. Use them strategically for speedy data retrieval, especially in large tables.📈

4️⃣ Pre-Stage Your Data: Stay ahead of the game by prepping your data with smart joins and aggregations. 🛠️

5️⃣ Batch Deletes and Updates: Group large deletes or updates to minimize database strain and avoid bottlenecks. ⚙️

6️⃣ Use Temp Tables for Cursors: Swap cursors for temp tables to sidestep performance pitfalls. 🔄

7️⃣ Prefer Table-Valued Functions: For returning multiple data sets, leverage table-valued functions over traditional scalar functions.

8️⃣ Utilize Partitioning: Divide and conquer large tables with partitioning for streamlined data access. 📦

9️⃣ Opt for Stored Procedures: For complex logic, utilize stored procedures. They pre-compile execution plans and leverage caching for top-notch performance.🛠️

But wait, there’s more! 📚 Adding weight to these tips, a renowned study found that implementing such practices can slash query times by up to 80%! 📉 Don’t just take my word for it, let the numbers speak for themselves! 💬 Ready to level up your SQL game? Let’s optimize together! 💪 #SQL