This is a common pattern but I'm still unsure how to go about it: I have a prepared list of items I ...

# coroutines

[mcpiroman]

This is a common pattern but I'm still unsure how to go about it:
I have a prepared list of items I want to process with parallelization, is this the preferred way:

suspend fun processAll(items: List<Item>) = coroutineScope {
  val channel = Channel<Item>(Channel.UNLIMITED)
  items.forEach { channel.trySendBlocking(it).getOrThrow() }

   repeat(4) {
        launch {
            for (item in channel) // process
        }
    }
}

Bonus point - is there a facility to automatically pick an optimal level of parallelism, instead of, in this example, hardcoded 4?

[Sam]

If the list is already prepared, and of known size, the channel might be overkill. You could just use something like items.chunked(...) to split the list into parts, and launch a separate coroutine for each chunk.

[Sam]

That said, you might be thinking about this as if you were dealing with threads rather than coroutines

[Sam]

Remember that coroutines are lightweight

[Sam]

The simplest solution might be to launch a coroutine for every item in the list.

[Sam]

That way, you'll get that maximum level of parallelism based on the dispatcher you're using.

[Sam]

A typical pattern would be

suspend fun processAll(items: List<Item>) = coroutineScope {
  items.map { async { process(item) } }.awaitAll()
}

[mcpiroman]

The with chuncked thing is that each item can take different time to process, so near the end the level of parallelism will decrease

[mcpiroman]

But yes, I seem to forgot the simples approach to just launch all at the same time, thanks