We consumed an item from this channel and printed its value of the item using item.V.Īn item is a wrapper on top of a value or an error. By default, an Observable is lazy in the sense that it emits items only once a subscription is made. Once the Observable is created, we can observe it using Observe(). This way, it accepts multiple items in the first parameter list and multiple options in the second parameter list. What's the rationale for this change? It is to prepare RxGo for the generics feature coming (hopefully) in Go 2.īy the way, the Just operator uses currying as syntactic sugar. This is a difference with the v1 that was accepting a value or an error directly without having to wrap it. If we want to create an item from an error, we have to use Error(err). Of(value) creates an item from a given value. The Just operator creates an Observable from a static list of items. Let's create our first Observable and consume an item: Installation of RxGo v2 go get -u /reactivex/rxgo/v2 The philosophy of RxGo is to implement the ReactiveX concepts and leverage the main Go primitives (channels, goroutines, etc.) so that the integration between the two worlds is as smooth as possible. Each operator instance being a goroutine connected to a common channel. Yet, we can leverage modern CPU architectures by defining multiple instances of the same operator. Publishing the results in a channel is only one of them.Įach operator is a transformation stage. There are many ways to consume or to produce data using RxGo. In this example, the final items are sent in a channel, available to a consumer. We filter each yellow square using the Filter operator.We define a transformation function (convert a circle into a square) using the Map operator.We create a static Observable based on a fixed list of items using the Just operator.Let's see a concrete example with each box being an operator:
RX EXTENSIONS MOSTRECENT SERIES
A pipeline is a series of stages connected by channels, where each stage is a group of goroutines running the same function. The RxGo implementation is based on the concept of pipelines. The list of operators covered is available here. A stream of events is called an Observable.Īn operator is a function that defines an Observable, how and when it should emit data. It is about processing streams of events or items, with events being any occurrences or changes within the system.
ReactiveX is a new, alternative way of asynchronous programming to callbacks, promises, and deferred. This is the official ReactiveX API for the Go language. ReactiveX, or Rx for short, is an API for programming with Observable streams. Reactive Extensions for the Go Language ReactiveX
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