Parallel Event Processing

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Overview

Events can be processed in parallel to improve performance. This is controlled by two parameters:

• max_concurrent_event_handlers — Maximum number of event handlers running simultaneously
• concurrent_event_handle_enable — Enable/disable parallel processing

How Parallel Processing Works

In sequential mode, events and follow-ups (from handler.events) are processed in BFS order: one event at a time, then its follow-ups are appended to the queue. In parallel mode, events are processed under a semaphore; as soon as any task completes (FIRST_COMPLETED), its follow-up events are queued and started without waiting for sibling events. emit_events returns only when all events and follow-ups are done.

graph TD
    Start[EventProcessor.emit_events] --> CheckEnable{Parallel Enabled?}

    CheckEnable -->|No| Sequential[Sequential: BFS]
    Sequential --> PopSeq[Pop event from queue]
    PopSeq --> EmitSeq[EventEmitter.emit]
    EmitSeq --> RouteSeq{Route Event}
    RouteSeq -->|DomainEvent| HandlerSeq[Execute Handlers]
    RouteSeq -->|NotificationEvent| BrokerSeq[Send to Broker]
    HandlerSeq --> CollectSeq[Collect handler.events]
    BrokerSeq --> CollectSeq
    CollectSeq --> ExtendSeq[Append follow-ups to queue]
    ExtendSeq --> MoreSeq{Queue empty?}
    MoreSeq -->|No| PopSeq
    MoreSeq -->|Yes| End1[End]

    CheckEnable -->|Yes| Parallel[Parallel: Semaphore + FIRST_COMPLETED]
    Parallel --> PopPar[Start tasks for queued events]
    PopPar --> Semaphore[Acquire Semaphore per task]
    Semaphore --> EmitPar[EventEmitter.emit]
    EmitPar --> RoutePar{Route Event}
    RoutePar -->|DomainEvent| HandlerPar[Execute Handlers]
    RoutePar -->|NotificationEvent| BrokerPar[Send to Broker]
    HandlerPar --> CollectPar[Collect follow-ups]
    BrokerPar --> CollectPar
    CollectPar --> QueuePar[Queue follow-ups, start new tasks]
    QueuePar --> WaitPar[Wait FIRST_COMPLETED]
    WaitPar --> MorePar{Pending or queue?}
    MorePar -->|Yes| PopPar
    MorePar -->|No| End2[End]

    style Start fill:#e1f5ff
    style Sequential fill:#fff3e0
    style Parallel fill:#c8e6c9
    style Semaphore fill:#ffebee

Implementation

The EventProcessor handles parallel or sequential event emission. Follow-up events returned by handlers (via handler.events) are processed in the same pipeline: BFS in sequential mode, or under the same semaphore with FIRST_COMPLETED in parallel mode. The method returns when all events and follow-ups are done.

class EventProcessor:
    def __init__(
        self,
        event_map: EventMap,
        event_emitter: EventEmitter | None = None,
        max_concurrent_event_handlers: int = 1,
        concurrent_event_handle_enable: bool = True,
    ):
        self._event_emitter = event_emitter
        self._max_concurrent_event_handlers = max_concurrent_event_handlers
        self._concurrent_event_handle_enable = concurrent_event_handle_enable
        self._event_semaphore = asyncio.Semaphore(max_concurrent_event_handlers)

    async def emit_events(self, events: Sequence[IEvent]) -> None:
        """Emit events and process follow-ups in the same pipeline."""
        if not events or not self._event_emitter:
            return

        if not self._concurrent_event_handle_enable:
            # Sequential: BFS over events and follow-ups
            to_process = deque(events)
            while to_process:
                event = to_process.popleft()
                follow_ups = await self._event_emitter.emit(event)
                to_process.extend(follow_ups)
        else:
            # Parallel: tasks under semaphore; follow-ups queued on FIRST_COMPLETED
            await self._emit_events_parallel_first_completed(deque(events))

    async def _emit_one_event(self, event: IEvent) -> Sequence[IEvent]:
        """Emit one event under semaphore; returns follow-ups from handler.events."""
        async with self._event_semaphore:
            return await self._event_emitter.emit(event)

The EventEmitter.emit() returns follow-up events from domain event handlers; the processor continues with these until the queue is empty.

Configuration

from cqrs.requests import bootstrap

# Enable parallel processing with max 3 concurrent handlers
mediator = bootstrap.bootstrap(
    di_container=container,
    commands_mapper=commands_mapper,
    domain_events_mapper=domain_events_mapper,
    max_concurrent_event_handlers=3,  # Max 3 handlers at once
    concurrent_event_handle_enable=True,  # Enable parallel processing
)

Default Values

• RequestMediator — max_concurrent_event_handlers=1, concurrent_event_handle_enable=True
• StreamingRequestMediator — max_concurrent_event_handlers=10, concurrent_event_handle_enable=True

Example: Parallel Processing

# Command handler emits multiple events
class ProcessOrderCommandHandler(RequestHandler[ProcessOrderCommand, None]):
    def __init__(self):
        self._events: list[Event] = []

    @property
    def events(self) -> list[Event]:
        return self._events

    async def handle(self, request: ProcessOrderCommand) -> None:
        # Business logic
        ...

        # Emit multiple events
        self._events.append(OrderProcessedEvent(...))
        self._events.append(InventoryUpdateEvent(...))
        self._events.append(AuditLogEvent(...))
        self._events.append(EmailNotificationEvent(...))

# With max_concurrent_event_handlers=3:
# - Up to 3 events (or follow-ups) run at once under the semaphore
# - When any task completes, its follow-ups (from handler.events) are queued and started (FIRST_COMPLETED)
# - emit_events() returns only when all events and follow-ups are done
# - Each event is routed by EventEmitter:
#   - DomainEvents → processed by handlers (follow-ups collected and processed in same pipeline)
#   - NotificationEvents → sent to message broker (no follow-ups)