Book Image

Mastering High Performance with Kotlin

Book Image

Mastering High Performance with Kotlin

Overview of this book

The ease with which we write applications has been increasing, but with it comes the need to address their performance. A balancing act between easily implementing complex applications and keeping their performance optimal is a present-day requirement In this book, we explore how to achieve this crucial balance, while developing and deploying applications with Kotlin. The book starts by analyzing various Kotlin specifcations to identify those that have a potentially adverse effect on performance. Then, we move on to monitor techniques that enable us to identify performance bottlenecks and optimize performance metrics. Next, we look at techniques that help to us achieve high performance: memory optimization, concurrency, multi threading, scaling, and caching. We also look at fault tolerance solutions and the importance of logging. We'll also cover best practices of Kotlin programming that will help you to improve the quality of your code base. By the end of the book, you will have gained some insight into various techniques and solutions that will help to create high-performance applications in the Kotlin environment
Table of Contents (12 chapters)

The disposable pattern

Use the disposable pattern along with the try-finally construction to avoid resource leaks.

The disposable pattern is a pattern for resource management. This pattern assumes that an object represents a resource and that the resource can be released by invoking a method such as close or dispose.

The following example demonstrates how to use them:

fun readFirstLine() : String? {
......
var bufferedReader: BufferedReader? = null
return try {
......
bufferedReader = BufferedReader(inputStreamReader)
bufferedReader.readLine()
} catch (e: Exception) {
null
} finally {
......
bufferedReader?.close()
}
}

The Kotlin standard library already has extension functions that use this approach under the hood:

fun readFirstLine(): String? = File("input.txt")
.inputStream()
.bufferedReader...