Asynchronous IO and row caching in Go language

With the continuous development of computer technology, the needs of software development are also constantly changing and evolving. In these changes and evolutions, efficiency and performance are the eternal themes. Among them, asynchronous IO and row cache are two important concepts.

As an emerging programming language, Go language has focused on high performance and concurrency from the beginning of its design. In the Go language, responsiveness, fastness, high concurrency and high throughput are very important, and asynchronous IO and row caching are one of the main features of the Go language in terms of these goals.

Asynchronous IO

The purpose of the asynchronous IO model is to maximize the efficiency of IO operations. In the traditional synchronous IO model, threads need to wait for data reading or writing to be completed before they can continue to perform other operations, which results in a great waste of IO efficiency. In the asynchronous IO model, the completion of IO operations is asynchronous, that is, before the IO reading and writing is completed, the thread can continue to perform other operations, thus reducing the thread waiting time.

In the Go language, asynchronous IO basically revolves around the concept of coroutines. The Go language provides a language feature called goroutine, which is a lightweight thread that can be easily created and destroyed, and they can run concurrently on the same process.

Asynchronous IO implemented in the Go language adopts two methods: based on goroutine and using asynchronous IO operations provided in the standard library.

When using the asynchronous IO model based on coroutines, we will wrap each IO operation that requires asynchronous processing into a goroutine and start it. When an IO operation is completed, it is automatically put back into the pool so that other operations can continue to be processed. This coroutine-based asynchronous IO model is very suitable for high-concurrency and high-throughput applications because it can effectively utilize system resources and improve application performance and stability.

Row caching

Row caching is a technology that optimizes I/O performance. It uses cache to buffer I/O operations and improves the efficiency of system I/O. When we optimize the program, row caching is an optimization technology that cannot be ignored.

In the Go language, the bufio package provides the line caching function. The bufio package improves program performance by providing operations with buffers, enabling efficient, branched I/O.

The most important functions in the bufio package include: NewReader(), NewWriter(), NewScanner(), etc.

Among them, the NewReader() function returns a new Reader, which uses caching when reading to improve I/O performance. The NewWriter() function returns a new Writer, which also uses caching to write data one by one to avoid triggering disk IO operations for each write operation.

After testing and experimentation, using Golang's bufio package for read and write operations and line caching can have very excellent performance, especially for file reading and writing, the improvement is very obvious.

Summary

Asynchronous IO and row caching are one of the important features of Go language’s high performance, high concurrency and high throughput. Mastering and applying these techniques is very important for developing efficient applications. In practice, we can optimize our programs and improve their performance by using goroutines and asynchronous IO operations provided in the Go language standard library, as well as taking advantage of the row cache operations provided in the bufio package.

The above is the detailed content of Asynchronous IO and row caching in Go language. For more information, please follow other related articles on the PHP Chinese website!