See previously #20884 (particularly #20884 (comment)) and #21199.

I think the same concerns apply here — in particular, the newValue callback makes the map prone to lock-ordering bugs, and may prevent more important optimizations in the sync.Map implementation.

sync.Map is optimized for stable, long-lived keys, whereas sync.Pool helps with repeated, short-lived allocations. What leads you to believe that combining the two would be a significant benefit?

Generally the pattern we use for allocation-sensitive sync.Map is to start with a Load for the fast-path and only fall back to LoadOrStore for the slow path (as in encoding/xml.getTypeInfo and (*reflect.rtype).ptrTo).

If the initialization is expensive enough, you can guard it with a sync.Mutex guarding stores into the whole map (since stores should be rare compared to loads), or use per-value synchronization such as a sync.Once or a sync.WaitGroup embedded or closed over in the value (as in encoding/json.typeEncoder).

Which of those strategies is best depends on several properties of the access pattern — the ratio of loads to stores, tolerance for redundant work, cost of initialization, etc. I don't think we should bake assumptions about those properties into sync.Map itself.

My point is that sync.Map could have the simillar behavior with sync.Pool: get from map, or create from a closure, rather than "combine" sync.Map and sync.Pool, it just a case to show that if I want to avoid the initialization overhead, I have to create object before LoadOrStore calling even it would not be used.

Yes I think it would make the map prone to lock-ordering bugs, in current, LoadOrStore much more like a CAS operation, users would still write lock-ordering bugs outside of LoadOrStore if they are able to, the only difference is that the stack of bug is on LoadOrStore or not.

And I agree that writing a fast loading function and fallback to LoadOrStore is a possible way to avoid the cost of initialization if the official think it is easy to use enough and is a recommended way to use sync.Map. I just think this code is verbose if I have to write it in a general case, and also it is not free: you have to load it twice if it hits fallback.

@bcmills

sync.Map is optimized for stable, long-lived keys, whereas sync.Pool helps with repeated, short-lived allocations. What leads you to believe that combining the two would be a significant benefit?

He's not trying to combine the two. He's just asking for the ability to lazily evaluate the corresponding value for a given key. If golang were as good a language as haskell, this would be the default implementation of sync.Map's LoadOrStore method and there wouldn't even be a need for a separate function.

Generally the pattern we use for allocation-sensitive sync.Map is to start with a Load for the fast-path and only fall back to LoadOrStore for the slow path (as in encoding/xml.getTypeInfo and (*reflect.rtype).ptrTo).

Unfortunately this is more verbose than the proposal, and also slower. In extreme cases, or in cases where the store is very long and not just pretty long, you might force more than one threads to create corresponding values for the same key only to throw them away on the later LoadOrStore call.

More importantly, it's a pattern that a lot of users of the sync.Map object might not come up with, because concurrency is hard. Libraries should feel comfortable designing for 110IQ programmers when they don't sacrifice the code of 130IQ programmers. This Load -> LoadOrStore trick slipped my mind until I read the docs further because I didn't have a good model of what the sync.Map object provided me in terms of thread safety.

If the initialization is expensive enough, you can guard it with a sync.Mutex

If we're bringing out sync.Mutex, why not make the users just design their own sync.Map implementation? Most of the utility of sync.Map is in preventing me from having to use sync.Mutex!

Which of those strategies is best depends on several properties of the access pattern — the ratio of loads to stores, tolerance for redundant work, cost of initialization, etc. I don't think we should bake assumptions about those properties into sync.Map itself.

You don't have to assume anything about the current users of sync.Map, you're just extending its viability to provide threadsafe key/value access to situations where allocating the map is resource intensive. I have run into this case twice and came here to make an issue, but it appears I've been beaten to it.

LoadOrStore may run a few times while racing against other goroutines before a load or store succeeds.
So it could not possibly guarantee that the closure would be called if and only if the result got stored.
Given that, why not just call Load, then if it fails call the closure, and then call LoadOrStore?

val, ok := m.Load(key)
if !ok {
    val = newValue()
    val, _ = m.LoadOrStore(key, val)
}
// Now val is either the loaded value or the one returned from newValue,
// but even if newValue was called, val may not be its result.

That's the best any implementation is going to be able to do, and you can do it in a few lines of code in your own program.
And seeing that code will make the semantics clearer than hidden in a function in the sync.Map API.

This proposal has been added to the active column of the proposals project
and will now be reviewed at the weekly proposal review meetings.
— rsc for the proposal review group

@rsc

That's the best any implementation is going to be able to do.

I don't think this is actually the case. Why can't the closure-based-LoadOrStore call just internally hit a lock until it's done creating the object, so that any further LoadOrStore calls block until it's finished?

Edit: Here's a loose implementation:

//Read lock key here
if val, ok := m[key]; ok {
  return val
} else {
  //Upgrade to write lock on key here
  if val, ok = m[key]; ok { //Check _again_
    return val
  } else {
    val = newValue()
    val, _ = m.Store(key, val)
  }
}

Why can't the closure-based-LoadOrStore call just internally hit a lock until it's done creating the object, so that any further LoadOrStore calls block until the first one is done running the closure?

That seems like it would require either per-key locks or a lock shared among many keys.

Since the purpose of sync.Map is to avoid (both cache and lock) contention, a shared lock would be extremely counterproductive.

That leaves per-key locks, which do not seem worth the increase in memory footprint.

Based on the discussion above, this proposal seems like a likely decline.
— rsc for the proposal review group

No change in consensus, so declined.
— rsc for the proposal review group