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With the rapid development of Go language in recent years, more and more developers choose to use Go language for project development. Go language is efficient, portable and modern language features. However, the Go language is developing very fast, so developers need to constantly learn new knowledge and technologies to improve their development skills and levels. This article will delve into the experience and skills of Go language development projects to help developers better apply Go language for development.
In the development process of any language, code specifications are very important. The code specifications of the Go language are relatively concise and clear. For example, variable names and function names should be named in camel case. Code indentation must be four spaces, you can use the tab key or the space bar. The length of lines of code should be kept within 80 characters, and line breaks () can be used when necessary.
At the same time, some tools can be used in the Go language to help developers check code specifications, such as gofmt, golint, go vet, etc.
In the Go language, error handling is very important. Developers need to remember to handle errors appropriately wherever they are involved. Go has built-in error handling mechanism, so handling errors is very easy. When a function returns an error, developers should quickly check for the error and take appropriate action to resolve the error. Usually, you can tell the caller whether the function executed successfully through the return value, and the error message returned should be readable.
In the Go language, goroutine is an important way to achieve concurrency. In applications, goroutine can be used to easily complete some asynchronous tasks, such as network IO, file IO, computing-intensive tasks, etc. At the same time, the go language also supports channels for communication with blocking characteristics.
When using goroutine to write concurrent code, please pay attention to the following points:
a. Variable competition, different goroutines reading and writing the same variable may lead to data competition, deadlock and other problems .
b. Pay attention to the synchronization and communication between goroutines, and select appropriate channels for data transmission and synchronization.
c. Use the mutex lock in the sync package to ensure that operations on shared resources are atomic.
d. The creation cost of goroutine is relatively low, but if too many goroutines are created, it will occupy a lot of system resources and cause the system load to be too high.
Go language has its own garbage collection mechanism, and its strategy is to use a generational garbage collection algorithm. Developers do not have to manage memory themselves. The garbage collection mechanism of the Go language will automatically clean up unnecessary memory.
But when using Go language for development, you still need to pay attention to the problem of memory leaks. Such as pointing the pointer to a deleted variable, not releasing it in time when creating an object in a loop, etc. The solution to the memory leak problem is to first use tools like Valgrind to detect memory leaks, and then use profile and pprof to determine memory problems.
5. Testing and unit testing
Testing is an essential part of project development. The Go language provides a built-in testing framework that developers can use to write test cases for their own code. The reports generated by the test framework are relatively friendly, and the writing of test cases is relatively simple. At the same time, some other third-party testing frameworks can also be used.
When writing test cases, please note:
a. Test cases need to cover the main branches of the code.
b. Better planning of test case coverage is required.
c. Use mock and other methods to simulate testing to ensure the correctness of the code in different environments.
Summary:
Go language has been widely used in the current development field. Its concise, clear, efficient and stable features are very popular among developers. When using Go language for project development, we also need to pay attention to code specifications, error handling, concurrent programming, memory management, and testing. In particular, we need to pay more attention to concurrent programming related to competition.
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