When we start a new system or a project from scratch, it doesn't make sense to get started with a lot of microservices. It just adds a lot of unnecessary complexity. It makes sense get started with a ๐๐จ๐ง๐จ๐ฅ๐ข๐ญ๐ก, as needed, we can gradually add ๐๐ข๐๐ซ๐จ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ.
This is exactly what you should do if you have anย ๐๐๐ ๐ข๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐย coming up and you are a beginner! ๐ป๐๐๐ ๐๐ ๐ ๐๐-๐๐๐-๐๐๐๐๐ ๐๐๐๐ ๐๐๐, ๐๐๐ ๐๐ ๐๐๐๐ ๐๐ ๐๐๐๐๐ ๐๐๐.
Then, it is copied to the user buffer space. When performing a write operation, the data is copied from the user buffer space back to the kernel buffer space, then to the buffer associated with the socket, and finally, it exits the computer.
๐ฐ๐ก๐๐ญ ๐ข๐ฌ ๐ณ๐๐ซ๐จ ๐๐จ๐ฉ๐ฒ ๐ญ๐ซ๐๐ง๐ฌ๐๐๐ซ ๐ข๐ง ๐๐๐๐ค๐ ?
Zero Copy Transfer is a technique that optimizes data transfer by reducing the number of times data is copied between user and kernel spaces. Initially, data is read from the disks into the kernel buffer space.
With a sorted array, you can perform a binary search, which again would take about 20 milliseconds. However, if we use a B-Tree of order 100, meaning each node can have a maximum of 100 children, it would take only about 3 milliseconds. This is a significant optimization.
๐๐ก๐ฒ ๐๐จ ๐ฌ๐จ ๐ฆ๐๐ง๐ฒ ๐๐๐ญ๐๐๐๐ฌ๐๐ฌ ๐ฎ๐ฌ๐ ๐-๐๐ซ๐๐๐ฌ?
Letโs break this down very simply and compare the complexities. If we have a million records in a database, which is a very common use case, letโs compare the time complexity for search operations.
Even if each comparison takes 1 millisecond, that would mean a total of 20 milliseconds to search through a million records, which is quite slow. An unbalanced BST or a simple array would take about 1 million milliseconds, which is out of the question.
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