Implementing Double Dispatch via the Visitor Pattern for Transaction State Reconciliation

The Visitor design pattern isolates behavioral logic from the data structures it traverses. Instead of embedding conditional branching within each domain entity, operations are encapsulated in external visitor classes. This architectural shift enables the introduction of new behaviors by instantiating additional visitors, leaving the underlying data hierarchy completely immutable.

The mechanism relies on a precise double dispatch sequence. The initial dispatch evaluates the runtime type of the target object to invoke its dedicated accept entry point. Within that method, the object passes its own reference to the visitor, triggering a secondary dispatch that routes execution to the most specific overloaded handler. This dual-routing ensures that both the structural node and the visiting component collaboratively determine the final execution path.

In asynchronous order management pipelines, this pattern elegantyl resolves discrepancies between persistent storage and streaming event data. Databases often hold a static baseline status, while microservices emit incremental lifecycle signals from third-party gateways. By overlaying these two state vectors, the system can validate message sequencing, suppress redundant payloads, and orchestrate safe retries for transient processing anomalies.

The subsequent Java implementation demonstrates this configuration for reconciling external payment events against internal transaction records.

public abstract class TransactionRecord {
    protected final Integer persistenceOutcome;

    protected TransactionRecord(Integer statusCode) {
        this.persistenceOutcome = statusCode;
    }

    public abstract StreamProcessingResult accept(TransactionEventRouter visitor);

    protected OutcomeStatus mapToEnum() {
        return OutcomeStatus.fromOrdinal(persistenceOutcome);
    }
}
public class PaymentRecord extends TransactionRecord {
    public PaymentRecord(Integer code) { super(code); }
    @Override public StreamProcessingResult accept(TransactionEventRouter visitor) {
        return visitor.routePayment(this);
    }
}

public class SettlementRecord extends TransactionRecord {
    public SettlementRecord(Integer code) { super(code); }
    @Override public StreamProcessingResult accept(TransactionEventRouter visitor) {
        return visitor.routeSettlement(this);
    }
}

public class RefundRecord extends TransactionRecord {
    public RefundRecord(Integer code) { super(code); }
    @Override public StreamProcessingResult accept(TransactionEventRouter visitor) {
        return visitor.routeRefund(this);
    }
}
public interface TransactionEventRouter {
    default boolean detectPersistenceFailure(OutcomeStatus status) {
        return status == OutcomeStatus.FAILURE || status == OutcomeStatus.INIT_ERROR;
    }

    StreamProcessingResult routePayment(PaymentRecord record);
    StreamProcessingResult routeSettlement(SettlementRecord record);
    StreamProcessingResult routeRefund(RefundRecord record);
}
public class IncomingPaymentRouter implements TransactionEventRouter {
    @Override
    public StreamProcessingResult routePayment(PaymentRecord record) {
        if (detectPersistenceFailure(record.mapToEnum())) {
            return StreamProcessingResult.CONTINUE_RETRY;
        }
        return StreamProcessingResult.ELIMINATE_DUPLICATE;
    }

    @Override
    public StreamProcessingResult routeSettlement(SettlementRecord record) {
        return StreamProcessingResult.SUPPRESS_LAGGING_PAYLOAD;
    }

    @Override
    public StreamProcessingResult routeRefund(RefundRecord record) {
        return StreamProcessingResult.ERASE_OUT_OF_SEQUENCE_EVENT;
    }
}
public class IncomingRefundRouter implements TransactionEventRouter {
    @Override
    public StreamProcessingResult routePayment(PaymentRecord record) {
        if (detectPersistenceFailure(record.mapToEnum())) {
            return StreamProcessingResult.REJECT_MISSING_PRECONDITION;
        }
        return StreamProcessingResult.ACCEPT_AND_PROCESS;
    }

    @Override
    public StreamProcessingResult routeSettlement(SettlementRecord record) {
        return StreamProcessingResult.BLOCK_CONFLICTING_STATES;
    }

    @Override
    public StreamProcessingResult routeRefund(RefundRecord record) {
        if (detectPersistenceFailure(record.mapToEnum())) {
            return StreamProcessingResult.CONTINUE_RETRY;
        }
        return StreamProcessingResult.ELIMINATE_REPEAT;
    }
}
public class IncomingSettlementRouter implements TransactionEventRouter {
    @Override
    public StreamProcessingResult routePayment(PaymentRecord record) {
        if (detectPersistenceFailure(record.mapToEnum())) {
            return StreamProcessingResult.REJECT_MISSING_PREREQUISITE;
        }
        return StreamProcessingResult.ACCEPT_AND_PROCESS;
    }

    @Override
    public StreamProcessingResult routeSettlement(SettlementRecord record) {
        if (detectPersistenceFailure(record.mapToEnum())) {
            return StreamProcessingResult.CONTINUE_RETRY;
        }
        return StreamProcessingResult.ELIMINATE_REPEAT;
    }

    @Override
    public StreamProcessingResult routeRefund(RefundRecord record) {
        return StreamProcessingResult.DROP_AFTER_FINALIZATION;
    }
}

This arrangement replaces cascading conditional checks with explicit, type-safe routing. Each incoming stream event is systematically cross-referenced against every possible persisted condition, automatically enforcing business rules regarding sequencing, idempotency, and error recovery.

Tags: design-patterns visitor-pattern java event-driven-architecture state-reconciliation

Posted on Sun, 19 Jul 2026 17:13:53 +0000 by outatime88