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Expand CP.61 to talk about the general "factory" pattern. (#1621)
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@@ -14973,7 +14973,7 @@ This section looks at passing messages so that a programmer doesn't have to do e
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Message passing rules summary:
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* [CP.60: Use a `future` to return a value from a concurrent task](#Rconc-future)
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* [CP.61: Use an `async()` to spawn a concurrent task](#Rconc-async)
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* [CP.61: Use `async()` to spawn concurrent tasks](#Rconc-async)
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* message queues
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* messaging libraries
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@@ -15001,12 +15001,13 @@ There is no explicit locking and both correct (value) return and error (exceptio
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???
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### <a name="Rconc-async"></a>CP.61: Use an `async()` to spawn a concurrent task
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### <a name="Rconc-async"></a>CP.61: Use `async()` to spawn concurrent tasks
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##### Reason
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A `future` preserves the usual function call return semantics for asynchronous tasks.
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There is no explicit locking and both correct (value) return and error (exception) return are handled simply.
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Similar to [R.12](#Rr-immediate-alloc), which tells you to avoid raw owning pointers, you should
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also avoid raw threads and raw promises where possible. Use a factory function such as `std::async`,
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which handles spawning or reusing a thread without exposing raw threads to your own code.
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##### Example
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@@ -15022,22 +15023,62 @@ There is no explicit locking and both correct (value) return and error (exceptio
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void async_example()
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{
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try {
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auto v1 = std::async(std::launch::async, read_value, "v1.txt");
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auto v2 = std::async(std::launch::async, read_value, "v2.txt");
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std::cout << v1.get() + v2.get() << '\n';
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}
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catch (std::ios_base::failure & fail) {
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std::future<int> f1 = std::async(read_value, "v1.txt");
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std::future<int> f2 = std::async(read_value, "v2.txt");
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std::cout << f1.get() + f2.get() << '\n';
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} catch (const std::ios_base::failure& fail) {
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// handle exception here
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}
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}
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##### Note
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Unfortunately, `async()` is not perfect.
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For example, there is no guarantee that a thread pool is used to minimize thread construction.
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In fact, most current `async()` implementations don't.
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However, `async()` is simple and logically correct so until something better comes along
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and unless you really need to optimize for many asynchronous tasks, stick with `async()`.
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Unfortunately, `std::async` is not perfect. For example, it doesn't use a thread pool,
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which means that it may fail due to resource exhaustion, rather than queueing up your tasks
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to be executed later. However, even if you cannot use `std::async`, you should prefer to
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write your own `future`-returning factory function, rather than using raw promises.
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##### Example (bad)
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This example shows two different ways to succeed at using `std::future`, but to fail
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at avoiding raw `std::thread` management.
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void async_example()
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{
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std::promise<int> p1;
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std::future<int> f1 = p1.get_future();
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std::thread t1([p1 = std::move(p1)]() mutable {
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p1.set_value(read_value("v1.txt"));
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});
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t1.detach();
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std::packaged_task<int()> pt2(read_value, "v2.txt");
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std::future<int> f2 = pt2.get_future();
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std::thread(std::move(pt2)).detach();
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std::cout << f1.get() + f2.get() << '\n';
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}
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##### Example (good)
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This example shows one way you could follow the general pattern set by
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`std::async`, in a context where `std::async` itself was unacceptable for
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use in production.
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void async_example(WorkQueue& wq)
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{
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std::future<int> f1 = wq.enqueue([]() {
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return read_value("v1.txt");
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});
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std::future<int> f2 = wq.enqueue([]() {
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return read_value("v2.txt");
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});
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std::cout << f1.get() + f2.get() << '\n';
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}
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Any threads spawned to execute the code of `read_value` are hidden behind
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the call to `WorkQueue::enqueue`. The user code deals only with `future`
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objects, never with raw `thread`, `promise`, or `packaged_task` objects.
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##### Enforcement
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