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Unveiling the Enigma: Multiple Receivers on a Single Channel
In the realm of concurrency, communication channels allow for seamless data exchange between threads or goroutines. One crucial aspect of channel behavior revolves around the presence of multiple receivers vying for the same data.
When a channel is unbuffered, it behaves like a queue, blocking receivers until data becomes available. However, the uncertainty arises when multiple receivers are connected to the same channel.
The Crucial Question: Who Wins the Data?
The pivotal question that arises is which receiver gets the privilege of receiving the data, ending the blockage and resuming execution.
A Glimpse into the Mechanism
Delving into the Go language specification, we encounter a fascinating revelation: the recipient of data is determined through a uniform pseudo-random selection. In essence, a single random receiver is chosen to unblock and receive the available data.
This dynamic ensures that there is no deterministic order in which receivers receive data. The chosen receiver breaks free from the blocking state and continues its execution path.
For the Curious Minds
For further clarification, the language specification states: "If one or more of the communications can proceed, a single one that can proceed is chosen via a uniform pseudo-random selection." This further emphasizes the non-deterministic nature of the selection process.
In conclusion, the recipient of data on a single channel with multiple receivers is determined randomly, ensuring fairness and preserving the non-deterministic nature of Go's concurrency model.
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