These sorts of things are what I call long running tasks - tasks that take far too long for your app to stop and wait for them! Similarly, reading from a database or loading an image from disk involve reading a file. Let’s dive in to each to see how coroutines can help us structure code in a cleaner way! Long running tasksįetching a webpage or interacting with an API both involve making a network request. Main-safety allows you to ensure that any suspend function can be called from the main thread.

Long running tasks are tasks that take too long to block the main thread.On Android, coroutines are a great solution to two problems: Kotlin coroutines are based on established concepts that have been used to build large applications. In the last few years, coroutines have grown in popularity and are now included in many popular programming languages such as Javascript, C#, Python, Ruby, and Go to name a few. The first language to explore using coroutines was Simula in 1967. While they’re new to Kotlin in 1.3, the concept of coroutines has been around since the dawn of programming languages. In that case it will not normalise to a HTML DOM, and it will not enforce any HTML spec rules.Ĭompare that output with and without the Parser.xmlParser() configuration:Īudio.addEventListener('ended', () => tState( from 'react'Ĭonst currentIndex = players.findIndex(p => p.Kotlin coroutines introduce a new style of concurrency that can be used on Android to simplify async code. If you know the input you're giving it is actually XML, you can configure Jsoup to parse in XML mode.

So by default it will always treat the input as HTML and will normalise the document. Jsoup's primary focus is in dealing with HTML, and making sure that the returned document is well formed HTML.

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