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armanriazi•rust•thread•channel

ArmanRiazi answered on March 21, 2022 Popularity 1/10 Helpfulness 1/10

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armanriazi•rust•thread•channel

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Using Message Passing to Transfer Data Between Threads:
Here’s the idea in a slogan from the Go language documentation: “Do not communicate by sharing memory; instead, share memory by communicating.”
One major tool Rust has for accomplishing message-sending concurrency is the channel,
A channel in programming has two halves: a transmitter and a receiver. 
A channel is said to be closed if either the transmitter or receiver half is dropped.
{
We create a new channel using the mpsc::channel function; mpsc stands for multiple producer, single consumer. In short, the way Rust’s standard library implements channels means a channel can have multiple sending ends that produce values but only one receiving end that consumes those values
}

Popularity 1/10 Helpfulness 1/10 Language rust

Source: github.com

Tags: rust

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Contributed on Mar 21 2022

ArmanRiazi

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which parts of your code on different threads will run. This can lead to problems, such as:

Race conditions, where threads are accessing data or resources in an inconsistent order
Deadlocks, where two threads are waiting for each other to finish using a resource the other thread has, preventing both threads from continuing
Bugs that happen only in certain situations and are hard to reproduce and fix reliably

{Programming languages implement threads in a few different ways:
APIs to create threads is sometimes called 1:1, meaning one operating system thread per one language thread.
the green-threaded model is called the M:N model: there are M green threads per N operating system threads, where M and N are not necessarily the same number.
The green-threading M:N model requires a larger language runtime to manage threads.
As such, the Rust standard library only provides an implementation of 1:1 threading.
Because Rust is such a low-level language, there are crates that implement M:N threading if you would rather trade overhead for aspects such as more control over which threads run when and lower costs of context switching, for example.
}
{
Blocking a thread means that thread is prevented from performing work or exiting.
}
{
you can divide a calculation into independent parts, split those parts across threads, and then use a Mutex<T> to have each thread update the final result with its part.
}

Popularity 3/10 Helpfulness 1/10 Language rust

Source: github.com

Tags: rust

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Contributed on Mar 21 2022

ArmanRiazi

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