Category Golang
Wrapping commands in Go
You can find a lot of articles about Go that describe general aspects of it. Including the content on this blog. Today, I decided to prepare something different. I’ll tell you about one of my tasks and I’ll show you how I resolved it using Go. I thought it’d be useful to show the exec package and to tell a bit about the ssh command and learn AWS EE2 a bit better.
Writing custom linter in Go
Writing linters is simple. I was surprised how it’s easy to write a Go linter. Today, we’ll write a linter that will calculate the cyclomatic complexity of the Go code. What is cyclomatic complexity? Cyclomatic complexity is a software metric used to indicate the complexity of a program. ref The idea is simple - every time we find any control flow statements we increase the complexity by one. I know I oversimplified it a bit but I don’t want to overwhelm you with unnecessary details.
Extracting the business logic - the project
In the last article, we wrote a few tests for a project to make sure that our refactoring won’t break anything. To understand the project better, we will separate the part of the domain and add a test to it. This will make the test more authentic. There is a problem with the end-to-end (e2e) tests: database under the hood. This attitude is not carefree. Firstly, those tests are rather slow.
Refactoring for better testability
When we talk about software design we very often use very generic and abstract words. But, how about the practice? How does it look in a real-world project? Today, you and I will start refactoring a small to-do app for better testability and maintainability. In this article, we will make the application testable. We’ll write black-box tests that will prevent from some bugs and make future refactoring easier and safer.
Is my interface too big?
In this article, I explain how you can detect if the interface you’re using is getting too big and requires splitting into smaller ones. Smaller interfaces help to improve the maintenance and readability of the code. What’s more, it helps with understanding the code. Interfaces in Go are different than those known in Java, c#, PHP etc. In those languages you define interfaces up-front. In other words, at the moment of creating a class you need to know how the class will be used.
Go with some context
The context package in Go is quite simple and well-known. On the other hand, there are some misunderstandings while using it. Today, I’ll try to explain all the most popular concerns and make more clear when and how use the Context. Let’s start with what the context is. Package context defines the Context type, which carries deadlines, cancellation signals, and other request-scoped values across API boundaries and between processes. ref: https://golang.
Go web frameworks
Go has plenty of different web frameworks. When you are faced with choosing a framework for the first time, it may turn out to be quite a challenge to choose the best one. This article is intended to help you choose the best one. It is full of personal judgments that you may disagree with. However, I believe you will find it most helpful. Martini The first framework is Martini. Honestly, it shouldn’t be here as it’s been under development since 2017.
Pointer and value semantics in Go
In Go, we can refer to variables using value or pointers. Sometimes, it’s hard to answer which approach is more suitable. At the first place, you should learn about general rules. Value semantic should be used every time when copying the value make sense in the logic of your code. For example, every value object should be passed by value. If you have a struct Money then it’s possible (and also make sense) to have, at the same time, multiple 10$ in your code.
What you should know about Go slices
Slice is the most important data structure in Go. When it comes to performance, slices are going to beat any other data structure. They are simple but powerful. However, there are some gotchas you have to keep in mind. Today, I’ll explain how slices work to help you prevent some hard to find bugs and write better code. In Go, arrays have a fixed size. The length is part of the array’s type.
Using sync.Pool
In the garbage-collected world, we want to keep the GC overhead as little as possible. One of the things we can do is limiting the number of allocations in our application. How to achieve that? There’s sync.Pool which caches allocated but unused items for later reuse. The Pool can become very useful when you have multiple parallel operations that can share the same piece of memory between them. The real power of it is visible when you have frequent allocations and deallocations of the same data structure.