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329 changes: 279 additions & 50 deletions src/windows/wslc/core/AsyncExecution.h
Original file line number Diff line number Diff line change
Expand Up @@ -9,92 +9,321 @@ Module Name:
Abstract:

Provides ForEachAsync, a generic helper for executing a work callback
over a collection concurrently in bounded batches using std::async.
over a collection concurrently using the Windows thread pool with bounded
concurrency and cooperative cancellation.

--*/
#pragma once

#include <algorithm>
#include <future>
#include <chrono>
#include <memory>
#include <optional>
#include <utility>
#include <vector>
#include <wil/resource.h>
#include <wil/result_macros.h>

namespace wsl::windows::wslc {

// Invokes onWork for each element in items concurrently, in batches of batchSize.
// Results are delivered serially to onSuccess. Errors are delivered serially to onError.
//
// This keeps wall time proportional to ceil(N / batchSize) rather than N for operations
// that have inherent per-item latency (e.g. network or IPC calls).
//
// Note: worker threads have no guaranteed per-thread initialization (e.g. COM). Callers
// whose onWork requires per-thread setup (such as CoInitializeEx) are responsible for
// performing it at the start of the onWork lambda.
//
// TWork : TItem -> TResult (called concurrently)
// TSuccess: TResult -> void (called serially)
// TError : (TItem, wil::ResultException) -> void (called serially)
template <typename TItem, typename TWork, typename TSuccess, typename TError>
void ForEachAsync(const std::vector<TItem>& items, TWork onWork, TSuccess onSuccess, TError onError, size_t batchSize = 10)
{
WI_ASSERT(batchSize > 0);
THROW_HR_IF(E_INVALIDARG, batchSize == 0);

using TResult = decltype(onWork(std::declval<TItem>()));
namespace detail {

struct BatchResult
template <typename TItem, typename TResult>
struct WorkerResult
{
explicit BatchResult(TItem capturedItem) : item(std::move(capturedItem))
WorkerResult() = default;

explicit WorkerResult(const TItem& item_) : item(item_)
{
}

TItem item;
std::optional<TItem> item;
std::optional<TResult> result;
wil::ResultException error{S_OK};
bool hasError{false};
};

for (size_t batchStart = 0; batchStart < items.size(); batchStart += batchSize)
// SharedContext holds state that must remain valid for the full lifetime of any running
// callback, including after WorkerPool is destroyed on the timeout path. Owned via
// shared_ptr and referenced by every SharedWorker.
template <typename TWork>
struct SharedContext
{
NON_COPYABLE(SharedContext);
NON_MOVABLE(SharedContext);

TWork onWork;
wil::unique_event cancelEvent;

explicit SharedContext(TWork onWork_) : onWork(std::move(onWork_))
{
cancelEvent.create(wil::EventOptions::ManualReset);
}
};

// Holds per-worker state. Each Launch heap-allocates a shared_ptr<SharedWorker> as the
// thread pool callback context, giving the callback shared ownership and ensuring this
// memory is not freed while a callback is still running.
template <typename TWork, typename TItem, typename TResult>
struct SharedWorker
{
WorkerResult<TItem, TResult> workerResult;
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std::shared_ptr<SharedContext<TWork>> context;
wil::unique_event done;
wil::unique_threadpool_work work;
};

// Manages a fixed pool of SharedWorkers.
template <typename TItem, typename TWork, typename TSuccess, typename TError>
struct WorkerPool
{
const size_t batchEnd = std::min(batchStart + batchSize, items.size());
NON_COPYABLE(WorkerPool);
NON_MOVABLE(WorkerPool);

using TResult = decltype(std::declval<TWork>()(std::declval<TItem>(), std::declval<HANDLE>()));
using TSharedWorker = SharedWorker<TWork, TItem, TResult>;
using TSharedContext = SharedContext<TWork>;

std::vector<std::shared_ptr<TSharedWorker>> workers;
std::vector<HANDLE> doneHandles;
std::shared_ptr<TSharedContext> context;
std::chrono::milliseconds timeout;
DWORD timeoutMs{};
DWORD cancelDrainMs{};

WorkerPool(size_t workerCount, TWork onWork, std::chrono::milliseconds timeout_, std::chrono::milliseconds cancelDrainTimeout) :
context(std::make_shared<TSharedContext>(std::move(onWork))),
timeout(timeout_),
timeoutMs(timeout_ == std::chrono::milliseconds::max() ? INFINITE : static_cast<DWORD>(timeout_.count())),
cancelDrainMs(static_cast<DWORD>(cancelDrainTimeout.count()))
{
workers.reserve(workerCount);
doneHandles.reserve(workerCount);

for (size_t i = 0; i < workerCount; ++i)
{
auto worker = std::make_shared<TSharedWorker>();
worker->done.create(wil::EventOptions::ManualReset);

// Start signaled so that unstarted worker slots never block a
// WaitForMultipleObjects over the whole pool (e.g. in CancelAndDrainInFlight).
// Launch resets the event before submitting, ThreadPoolCallback sets it on exit.
worker->done.SetEvent();

worker->context = context;

doneHandles.push_back(worker->done.get());
workers.push_back(std::move(worker));
}
}

void Launch(size_t workerIndex, const TItem& item)
{
auto& worker = workers[workerIndex];

// Reset first so the slot appears busy. Re-signal on any failure so that
// CancelAndDrainInFlight does not block on a slot that was never submitted.
worker->done.ResetEvent();
auto signalOnFail = wil::scope_exit([&worker] { worker->done.SetEvent(); });

worker->workerResult.item.emplace(item);
worker->workerResult.result.reset();
worker->workerResult.error = wil::ResultException{S_OK};
worker->workerResult.hasError = false;

// Heap-allocate a shared_ptr as the callback context. The callback takes ownership,
// keeping the worker and its SharedContext alive for the full duration of the callback
// regardless of WorkerPool lifetime. Re-create the work item each launch so the
// context pointer is fresh.
auto* ctx = new std::shared_ptr<TSharedWorker>(worker);
worker->work.reset(::CreateThreadpoolWork(ThreadPoolCallback, ctx, nullptr));
if (!worker->work)
{
delete ctx;
THROW_LAST_ERROR();
}

::SubmitThreadpoolWork(worker->work.get());
signalOnFail.release();
}

void Drain(size_t workerIndex, TSuccess& onSuccess, TError& onError)
{
auto& worker = workers[workerIndex];

// Ensure the callback has fully returned before reading results.
::WaitForThreadpoolWorkCallbacks(worker->work.get(), FALSE);

if (worker->workerResult.hasError)
{
onError(*worker->workerResult.item, worker->workerResult.error);
}
else if (worker->workerResult.result.has_value())
{
onSuccess(*worker->workerResult.result);
}
}

std::vector<std::future<BatchResult>> futures;
futures.reserve(batchEnd - batchStart);
// Signals cancellation and waits up to cancelDrainMs for all in-flight workers to exit.
// Unstarted worker slots have their done events pre-signaled so they never block.
// Called noexcept from the scope_exit error guard in ForEachAsync.
void CancelAndDrainInFlight() noexcept
{
context->cancelEvent.SetEvent();
::WaitForMultipleObjects(static_cast<DWORD>(doneHandles.size()), doneHandles.data(), TRUE, cancelDrainMs);
}

for (size_t i = batchStart; i < batchEnd; ++i)
// Signals cancellation, waits up to cancelDrainMs for workers to exit, then throws ERROR_TIMEOUT.
// Workers that do not exit within cancelDrainMs are abandoned. Each running callback holds a
// shared_ptr to its SharedWorker and SharedContext, so neither is freed while the callback runs.
// onWork implementations must check the cancel event at natural checkpoints and exit promptly.
//
// Note: TerminateThread() is not used - it skips C++ destructors, leaves user-mode locks
// permanently held (causing deadlocks), and corrupts COM apartment state.
[[noreturn]] void CancelAndThrow(size_t remainingItems)
{
const auto& item = items[i];
futures.push_back(std::async(std::launch::async, [&onWork, item]() -> BatchResult {
BatchResult result{item};
try
{
result.result = onWork(item);
}
catch (const wil::ResultException& ex)
{
result.hasError = true;
result.error = ex;
}
return result;
}));
context->cancelEvent.SetEvent();

::WaitForMultipleObjects(static_cast<DWORD>(doneHandles.size()), doneHandles.data(), TRUE, cancelDrainMs);

THROW_HR_MSG(
HRESULT_FROM_WIN32(ERROR_TIMEOUT),
"ForEachAsync: worker exceeded timeout of %lld ms (%zu items remaining).",
static_cast<long long>(timeout.count()),
remainingItems);
}

for (auto& future : futures)
// Thread pool callback - invoked on a pool thread for each submitted work item.
// Takes ownership of the heap-allocated shared_ptr<TSharedWorker> passed as context,
// ensuring the worker and its SharedContext remain alive for the duration of this call.
static void CALLBACK ThreadPoolCallback(PTP_CALLBACK_INSTANCE, void* context, PTP_WORK) noexcept
{
auto batchResult = future.get();
const std::unique_ptr<std::shared_ptr<TSharedWorker>> owner(static_cast<std::shared_ptr<TSharedWorker>*>(context));
auto& worker = **owner;

if (batchResult.hasError)
try
{
worker.workerResult.result.emplace(worker.context->onWork(*worker.workerResult.item, worker.context->cancelEvent.get()));
}
catch (const wil::ResultException& ex)
{
onError(batchResult.item, batchResult.error);
worker.workerResult.hasError = true;
worker.workerResult.error = ex;
}
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else if (batchResult.result.has_value())
catch (...)
{
onSuccess(*batchResult.result);
worker.workerResult.hasError = true;
worker.workerResult.error = wil::ResultException{wil::ResultFromCaughtException()};
}

worker.done.SetEvent();
}
};

} // namespace detail

// Invokes onWork for each element in items concurrently using the Windows thread pool,
// with concurrency bounded to poolSize. Results are delivered serially to onSuccess.
// Errors are delivered serially to onError.
//
// onWork receives a HANDLE to a cancellation event and should check it at natural
// checkpoints using WaitForSingleObject(cancel, 0), returning early if it is set.
// On timeout, the event is signalled and ForEachAsync waits up to cancelDrainTimeout
// for workers to exit before throwing HRESULT_FROM_WIN32(ERROR_TIMEOUT).
//
// If onSuccess, onError, or Launch throw, the cancel event is signalled and ForEachAsync
// waits up to cancelDrainTimeout for any in-flight workers to exit before rethrowing.
// This guarantees no background thread pool callbacks outlive the ForEachAsync call.
Comment on lines +234 to +236
//
// poolSize must not exceed MAXIMUM_WAIT_OBJECTS (64).
//
// The timeout is a safety net against indefinite hangs, not a strict per-worker limit.
// A worker that hangs while other workers are still completing will be caught in the
// final wait at most one full timeout after all other work has finished.
//
// Note: thread pool threads have no guaranteed per-thread initialization. Callers
// whose onWork requires per-thread setup (e.g. CoInitializeEx) must perform it at
// the start of the onWork lambda.
//
// TWork : (TItem, HANDLE cancelEvent) -> TResult (called concurrently)
// TSuccess: TResult -> void (called serially)
// TError : (TItem, wil::ResultException) -> void (called serially)
template <typename TItem, typename TWork, typename TSuccess, typename TError>
void ForEachAsync(
const std::vector<TItem>& items,
TWork onWork,
TSuccess onSuccess,
TError onError,
size_t poolSize = 10,
std::chrono::milliseconds timeout = std::chrono::milliseconds::max(),
std::chrono::milliseconds cancelDrainTimeout = std::chrono::seconds(5))
{
THROW_HR_IF(E_INVALIDARG, poolSize == 0);
THROW_HR_IF(E_INVALIDARG, poolSize > MAXIMUM_WAIT_OBJECTS);
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THROW_HR_IF(E_INVALIDARG, timeout.count() < 0);
THROW_HR_IF(E_INVALIDARG, cancelDrainTimeout.count() < 0);

// INFINITE (0xFFFFFFFF) is reserved as the Win32 sentinel; values at or above it
// would either alias INFINITE or wrap, producing the opposite timeout behavior.
constexpr long long c_maxWaitMs = 0xFFFFFFFELL; // INFINITE - 1
THROW_HR_IF(E_INVALIDARG, timeout != std::chrono::milliseconds::max() && timeout.count() > c_maxWaitMs);
THROW_HR_IF(E_INVALIDARG, cancelDrainTimeout.count() > c_maxWaitMs);

if (items.empty())
{
return;
}

const size_t workerCount = std::min(poolSize, items.size());

detail::WorkerPool<TItem, TWork, TSuccess, TError> pool{workerCount, std::move(onWork), timeout, cancelDrainTimeout};

// On any exception from Launch, Drain, or the user callbacks (onSuccess/onError),
// signal cancellation and wait for in-flight workers before rethrowing. This guarantees
// no background thread pool callbacks outlive the ForEachAsync call.
auto cancelOnError = wil::scope_exit([&pool] { pool.CancelAndDrainInFlight(); });

// Fill the pool - submit one item per worker to saturate all workers immediately.
size_t nextItem = 0;
for (; nextItem < workerCount; ++nextItem)
{
pool.Launch(nextItem, items[nextItem]);
}

// Keep the pool full - as each worker completes, drain its result and immediately
// assign it the next pending item. WaitForMultipleObjects(FALSE) wakes on the first
// completion, so no worker idles while work remains.
while (nextItem < items.size())
{
const DWORD waitResult = ::WaitForMultipleObjects(static_cast<DWORD>(workerCount), pool.doneHandles.data(), FALSE, pool.timeoutMs);

if (waitResult == WAIT_TIMEOUT)
{
pool.CancelAndThrow(items.size() - nextItem);
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}

THROW_LAST_ERROR_IF(waitResult == WAIT_FAILED);

const size_t workerIndex = waitResult - WAIT_OBJECT_0;
pool.Drain(workerIndex, onSuccess, onError);
pool.Launch(workerIndex, items[nextItem++]);
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}

const DWORD finalWait = ::WaitForMultipleObjects(static_cast<DWORD>(workerCount), pool.doneHandles.data(), TRUE, pool.timeoutMs);

if (finalWait == WAIT_TIMEOUT)
{
pool.CancelAndThrow(0);
}

THROW_LAST_ERROR_IF(finalWait == WAIT_FAILED);

for (size_t i = 0; i < workerCount; ++i)
{
pool.Drain(i, onSuccess, onError);
}

cancelOnError.release();
}

} // namespace wsl::windows::wslc
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