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Did you know that you can optimize memory by changing the order of struct fields in Go?

Mind Blown

Its fascinating! Right?

I didn't know this until I saw this for myself in a reddit thread's example. Now this is not a new thing. Programming languages like C/C++ already has this concepts up and running for decades.

Turns out, most processors access data more efficiently when data is aligned to certain byte boundaries (e.g., 2, 4, 8 bytes). For instance, an int64 (which is 8 bytes) is most efficiently accessed when stored at a memory address that is a multiple of 8. To achieve this alignment, Go automatically adds padding between fields in a struct. This padding can increase the size of a struct if fields are not ordered optimally.

By ordering fields from largest to smallest, you minimise the amount of padding required between fields, resulting in a smaller overall memory footprint.

Here are the links where I found this:-

The Example: https://go.dev/play/p/MBXg4UBOerp

The Thread: https://www.reddit.com/r/golang/comments/qcab7p/you_can_optimize_memory_by_changing_the_order_of/

Additional Read: https://www.wagslane.dev/posts/go-struct-ordering/

I stumbled upon an intriguing string-to-number conversion technique in JavaScript

"1000.01"*1 is faster than Number("1000.01")

Fast!!!!

The operation "1000.01"*1 involves using the multiplication operator with a numeric value (1), which implicitly converts the string to a number and is generally faster because it's a simple operation involving the multiplication operator. In contrast, Number("1000.01") requires calling a function (Number), which introduces some overhead.

Now, that doesn’t mean you're going to replace every line of string-to-number conversion code that uses the (Number) function with multiplication by 1. 😅

While it is fast, you might encounter some precision issues, so you should avoid using it in places where precision is critical.

There is a good Stack Overflow thread discussing various string-to-number conversion techniques in JavaScript and their benchmarks. Definitely check it out.

Link to the Stack Overflow post

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