Ice lakes generate only in the snow biome. They provide an abundance of corn and pumpkins. The largest occurring biome is the grasslands, there is one large desert area and one large snow area, as well as mountains across the map which turn into snow biomes as the altitude rises. The Rust map consists of several biomes grassland, swamp, desert and snow. To view the map in-game, you hold g by default. Both Custom and Procedural maps are stored in the same format. If you are interested in creating your own custom maps you can head over and read about it. The World Design section on the wiki offers a lot more details on more specific aspects of what exists within all maps in Rust, both custom and procedural. The information on this page is accurate for procedurally generated maps unless stated otherwise. Maps are usually random through procedural generation, but there are also official pre-made maps ( Hapis and Savas) and custom community maps through modding. This is where your Rust experience happens when you're not in the queue. We will use the for_each method for that.The game world. In this basic setup, we will simply print the queries – without actually querying anything. This queue implements the Stream trait on the receiving end, that we already familiarized with in the first case study. In our case, we have a single consumer – the background processing task – and we also have a single producer – the foreground UI task – but there was no single-producer queue in the futures crate. To send the requests from one task to the other, we will use a multi-producer single-consumer queue from the futures crate, more precisely the futures::channel::mpsc::unbounded version. tokio, futures and rand, as well as lazy_static for convenience.īefore diving into the cancellation problem, let’s start with a basic setup with a task producing queries and another task processing them.įor the sake of this example, we will use the tokio::spawn function to create the two tasks. In this case study, we will depend on the same crates as for the first one, i.e. So the goal will be to establish communication between the foreground and background threads in the form of a stream of queries, while supporting cancellation to avoid wasting time and resources on requests that are not relevant anymore. due to fetching resources over the network), while the user interacts quickly with the UI (e.g. This is especially relevant if processing requests takes a non-trivial amount of time (e.g. This time, the “trick” is that the UI thread may cancel requests that are not relevant anymore - typically because the user already moved on to display something else. In this case study, we will consider a setup with two threads.Ī “foreground” UI thread requests some resources due to user interaction, and a worker thread will process these requests in the background. Bonus: “One type is more general than the other”Ĭase study: cancelling background queries.Case study: cancelling background queries.The goals are both to avoid wasting resources with useless queries and to offer the best latency to the user.Īs for the previous post, the full code examples are available on this GitHub repository.Īt the time of writing, I’ve tested them with Rust version 1.50.0. So how can we combine streams, which provide a convenient and idiomatic API to process items asynchronously, together with cancellation? However, the UI thread may want to cancel these requests if the user already moved on - for example the user scrolled very fast. Typically, a UI thread in the foreground requests some resources depending on user interaction, and a worker thread in the background processes these requests by making asynchronous queries to the network, a database, etc. In this blog post, we’ll study the case of cancellation. We’ve seen how to overcome the sometimes puzzling compilation errors that arise when we use the async keyword incorrectly, then studied how to buffer asynchronous queries in a stream to reduce overall latency, and in particular how unordered buffering can improve latency even further. Asynchronous streams in Rust (part 2) - Cancelling expired requestsīy Guillaume Endignoux the previous blog post, we’ve learned how to use asynchronous streams in Rust.
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