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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsThey solve different problems, so a multiplayer game can use both. A reducer defines how an input transforms the current state; event sourcing defines which accepted changes are retained as a durable history so state can be rebuilt later. Neither choice determines which machine is authoritative or what clients receive over the network. For many games, a practical design is to use reducer-like logic on the authoritative server, persist only consequential domain events, and replicate current state or compact deltas.
What is the difference?
| Approach | Question it answers | What it requires |
|---|---|---|
| Pure reducer | How does an input change the current state? | A transformation such as nextState = reduce(currentState, action). It can run without permanent history storage. |
| Event sourcing | What history is retained, and how can current state be reconstructed? | An append-only store of accepted domain events, ordering, replay logic, and policies for evolving and recovering streams. |
A reducer can apply events in an event-sourced system, but a reducer alone is not event sourcing. A pure reducer can process a sequence in memory for testing or replay without making that sequence the permanent system of record. Conversely, event sourcing depends on reliable event application but also requires persistence, ordering, concurrency handling, and compatibility with old events. Microsoft’s Event Sourcing pattern describes append-only per-entity streams and state reconstruction by replay.
Neither choice determines multiplayer authority
Authority is a separate networking decision: which machine decides the accepted game state. In a server-authoritative design, clients send commands or inputs, the server validates and applies them, and clients receive selected information. Epic’s Unreal Engine 5.8 Networking Overview explains that network conditions can cause client state to diverge and describes clients maintaining approximations of server-held authoritative state. It also emphasizes choosing what information to replicate to which connections.
Unity’s Netcode for GameObjects authority guidance describes server authority as centralizing conflict decisions and supporting rollback and competitive client prediction, while noting latency and server resource costs. Its distributed-authority model assigns authority over subdivisions of objects to game instances, reducing reliance on one machine to simulate everything but requiring clear ownership boundaries. Check the version of the package installed in your project before relying on version-specific implementation details.
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So a game may have a server-authoritative reducer without a durable event store, or an event store behind a server that replicates only a small view of the state. Event sourcing does not make client inputs trustworthy, prevent cheating, establish network ordering by itself, or guarantee identical floating-point simulation across platforms.
When should a multiplayer game retain events?
Event sourcing is most compelling when the history itself has product or operational value—not simply because the game has many state changes. Microsoft’s guidance highlights auditability, replay, recovery, and projections as potential benefits, alongside the additional work of maintaining event streams.
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Good candidates for durable domain events
- Consequential accepted actions whose history matters for audit, dispute resolution, or recovery.
- Match outcomes, inventory or economy changes, and other durable results that downstream systems need to query or project.
- Systems where rebuilding a state from meaningful changes is valuable and event volume remains manageable with snapshots or projections.
Usually poor candidates for an unbounded durable log
- Every movement sample, physics tick, aim update, or other transient simulation value when only recent state matters.
- Raw client messages treated as if they were validated game outcomes.
- Network transport packets copied directly into a permanent event stream without a domain reason to preserve them.
High-rate simulation data can make replay and storage expensive; keeping live state, snapshots, or bounded diagnostic histories may be more appropriate. This is an engineering tradeoff, not a rule that movement can never be event-sourced. Replication and persistence should be budgeted separately.
Costs and design obligations of event sourcing
A retained log remains meaningful after the game code changes. The system must preserve the ability to interpret old events, or deliberately transform them, and control the cost of replaying long streams. Microsoft’s pattern guide discusses event ordering, optimistic concurrency and retries, schema versioning and upcasting, compensating events, and snapshots or projections.
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- Ordering and conflicts: Define the order of events within a relevant entity or stream and what happens when concurrent writes conflict. A server loop or owner can serialize transitions; otherwise, explicit concurrency controls and retry behavior are needed.
- Schema evolution: Keep old events readable as fields and rules evolve, or use versioning/upcasting strategies. Changing a reducer does not automatically change what an old event meant.
- Replay cost: Long streams take more time and compute to rehydrate. Snapshots bound replay work; projections or materialized views can serve common reads without replaying everything for every query.
- Corrections: Do not silently rewrite history where the model expects append-only records. Model corrections with compensating events or another explicit policy.
- Storage versus messaging: An event store is not interchangeable with a message broker. A broker can distribute messages, but may not provide ordered per-entity history, stream queries, or optimistic concurrency.
What reducers contribute
A reducer makes the state transition explicit: given a state and an action, return the next state. That separation can make transition rules easier to test and can allow the same logic to be replayed in memory or shared between server and client. These are design benefits, not guarantees: reducers do not validate authority, persist their inputs, order network messages, or automatically produce deterministic cross-platform physics.
For prediction or rollback, repeatable simulation behavior and reconciliation with server decisions matter. A reducer can help isolate transition logic, but the full simulation may still depend on time, random-number generation, floating-point behavior, or external state. Those dependencies need deliberate handling if the game must replay the same inputs consistently.
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How to choose for your game
| Decision question | Event-sourced direction | Reducer-centered direction | Multiplayer consideration |
|---|---|---|---|
| Does the history itself matter? | Retain accepted domain events for audit, replay, recovery, or projections. | Keep current state; retain only a bounded debug or replay history if useful. | Distinguish validated outcomes from transport messages and raw inputs. |
| How frequent are updates? | Use when event volume and replay costs are manageable, or when snapshots and projections address them. | Often simpler when transitions are frequent and only the latest state is needed. | Budget high-rate movement and physics replication separately from durable storage. |
| Is replay needed? | Replay can rebuild state if event application and version handling remain correct. | Pure transitions can replay an input sequence in memory without permanent retention. | Prediction and rollback need repeatable behavior plus server reconciliation; event sourcing alone does not supply either. |
| How are conflicts resolved? | Use ordered streams and concurrency controls, such as optimistic concurrency with retries where appropriate. | Serialize transitions through an owner or loop, or define explicit conflict rules. | Server authority centralizes decisions; distributed authority needs clear ownership and reconciliation boundaries. |
| What do clients receive? | Replicate selected events, projections, snapshots, or deltas—not automatically the full authoritative log. | Replicate selected state or deltas after transitions. | Replicate only what each connection needs; bandwidth and client visibility are separate from persistence. |
A practical hybrid architecture
- Receive commands or inputs at the authority. Treat client messages as requests, then validate them according to the game’s rules.
- Apply explicit transition logic. Use reducer-like functions or equivalent deterministic logic for state changes where repeatability is needed.
- Separate durable outcomes from transient simulation. Emit named domain events for consequential accepted changes; keep high-frequency live simulation state in memory unless its history has a clear purpose.
- Persist and checkpoint deliberately. Retain events where their history is valuable and use snapshots or projections when replay or reads become costly.
- Replicate a client-appropriate view. Send compact snapshots or deltas and the sequence or version metadata needed to reconcile predicted state. Do not assume clients should receive the full durable log.
This combination is an option to evaluate, not a universal architecture. Colyseus documents server-defined room state with binary delta synchronization and lists prediction and rollback features, illustrating that server-owned current state and delta replication do not require a permanent event-sourced record of every simulation step: Colyseus Multiplayer Game Framework for Node.js. Framework features can change by version.
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