How was the work parallelized among workers when processing a single request?

In Go, parallelism when processing a single request is often achieved using goroutines and channels. Worker goroutines can process different parts of the request or tasks in parallel, and then the results are collected.

Example of parallel processing:

func handleRequest(req Request) Result {
    results := make(chan Result, 2)

    go func() {
        results <- processPartA(req)
    }()

    go func() {
        results <- processPartB(req)
    }()

    resA := <-results
    resB := <-results

    return combineResults(resA, resB)
}

Thus, two workers process parts of the request in parallel, speeding up the overall processing. It is important to synchronize results and handle errors correctly.

In more complex systems, a worker pool may be used, where tasks are queued, and workers pick them up for execution, allowing for scalable processing and efficient resource utilization.