Efficient SQL queries are the backbone of high-performing applications. Poorly optimized queries can lead to slow response times, high server loads...
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Good checklist - I'm impressed. I'll show it to people.
There is one thing though - a bad datamodel, or a nonsensical workflow, will bring any database to its knees, no matter what you do to optimise the SQL or speed up the database and it's host.
We call that the 80:20 rule.
Unfortunately it is here that negotiations between the DBA and the DevOps team often break down. Many devs are taught or told: code first, worry about the performance later.
But now they don't have the time or the budget to go back and fix things and refactor their code.
Such a shame. They wanted a smoking hot data system. (Well, actually, they got one, but it's because the database server is on fire.)
There is only one real preventitive fix for that: assign the DBA (or anybody with performance and datamodel design experience) to the Dev team at the beginning, to get things going in the right direction. (Work a few half days for a couple of weeks, then drop out. Just keep in touch to make sure they are still on track.)
Thanks so much, Marc! You're absolutely right—the data model is the foundation. Without a solid structure, even the best code can't save performance. I really liked your analogy with the "smoking hot data system" 😅. Totally agree that early DBA involvement can prevent massive headaches later on. Appreciate your insights!
Great trip. Thanks for sharing
Thanks a lot, Santosh! Glad you found it helpful. Always happy to share practical tips that have worked for me.
Use joins instead of where in ....
Absolutely, Arpit! Using joins smartly can drastically improve query efficiency, especially over large datasets. It’s always interesting to see how small changes in approach can lead to major performance gains.
Great tips. Thanks for sharing.
Appreciate it, Alexandrefuente! Let me know if you try any of the strategies or have any of your own to add. Always up for learning more!
Saving this for later.
Glad to hear that, Aayush! Hope it comes in handy when you're deep in the debugging zone 😊 Feel free to share your experience if you try any of the strategies!
real world samples optimization SQL ? maybe optimization reports queries or using millions rows
That’s a great idea! Real-world samples for optimizing SQL over large datasets or report-heavy queries would definitely be valuable. I’ll consider adding a follow-up post focused on those scenarios. Thanks for the suggestion!