Managing Concurrent Go Routines
Limiting the number of concurrently executing go routines is crucial for maintaining system stability and resource optimization. In this article, we'll explore an efficient solution using channels to control the number of parallel operations.
Problem Statement:
Design a system that processes a list of URLs, with a constraint on the maximum number of goroutines (concurrent functions) executing simultaneously. For instance, given 30 URLs, restrict the number of goroutines to 10.
Proposed Solution:
Our proposed solution involves two key techniques: Creating a fixed number of workers and utilizing a buffered channel to control the flow of data to these workers.
Code Explanation:
Main Function:
Advantage:
The buffered channel effectively limits the number of concurrent workers. When the channel is full (reach the buffer size), further goroutines attempting to add URLs will block until space becomes available. Conversely, if no URLs are available, workers will block until a new URL is added to the channel.
Conclusion:
This revised code effectively manages the number of concurrent go routines through the use of a worker pool and a buffered channel. It provides a flexible and efficient mechanism to ensure that processing tasks are executed in a controlled manner.
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