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88 lines
5 KiB
Markdown
88 lines
5 KiB
Markdown
# hecs
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[![Documentation](https://docs.rs/hecs/badge.svg)](https://docs.rs/hecs/)
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[![Crates.io](https://img.shields.io/crates/v/hecs.svg)](https://crates.io/crates/hecs)
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[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE-APACHE)
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hecs provides a high-performance, minimalist entity-component-system (ECS)
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world. It is a library, not a framework. In place of an explicit "System"
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abstraction, a `World`'s entities are easily queried from regular code. Organize
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your application however you like!
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### Bevy Fork Information
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This is the Bevy project's fork of hecs with changes that accommodate the needs of the Bevy game engine. Some notable changes:
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* Entity indices are now queryable and are not returned in queries by default. This both improves ergonomics and significantly boosts performance in some cases.
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* Entity indices are now UUIDs and are no longer generational. This allows apps to use Entity ids as stable ids during serialization and networking. This also improves query performance because we don't need to look up entity generation information while iterating. It also removes ~300 lines of code dedicated to entity index maintenance. However this new model does come at a small cost: entity creation + `world.get::<Component>(entity)` lookup now requires hashing, which by our benchmarks is about 5x slower than the previous array indexing implementation. Given that this is an uncommon pattern and the major benefits the new design yields, we consider this small corner-case performance cost worth it.
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* Expose more interfaces as public so that we can build higher-level apis on top of the core hecs codebase (multithreading, functions-as-systems, world builders, schedules, etc)
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### Why ECS?
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Entity-component-system architecture makes it easy to compose loosely-coupled
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state and behavior. An ECS world consists of:
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- any number of **entities**, which represent distinct objects
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- a collection of **component** data associated with each entity, where each
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entity has at most one component of any type, and two entities may have
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different components
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That world is then manipulated by **systems**, each of which accesses all
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entities having a particular set of component types. Systems implement
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self-contained behavior like physics (e.g. by accessing "position", "velocity",
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and "collision" components) or rendering (e.g. by accessing "position" and
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"sprite" components).
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New components and systems can be added to a complex application without
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interfering with existing logic, making the ECS paradigm well suited to
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applications where many layers of overlapping behavior will be defined on the
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same set of objects, particularly if new behaviors will be added in the
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future. This flexibility sets it apart from traditional approaches based on
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heterogeneous collections of explicitly defined object types, where implementing
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new combinations of behaviors (e.g. a vehicle which is also a questgiver) can
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require far-reaching changes.
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#### Performance
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In addition to having excellent composability, the ECS paradigm can also provide
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exceptional speed and cache locality. `hecs` internally tracks groups of
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entities which all have the same components. Each group has a dense, contiguous
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array for each type of component. When a system accesses all entities with a
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certain set of components, a fast linear traversal can be made through each
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group having a superset of those components. This is effectively a columnar
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database, and has the same benefits: the CPU can accurately predict memory
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accesses, bypassing unneeded data, maximizing cache use and minimizing latency.
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### Why Not ECS?
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An ECS world is not a be-all end-all data structure. Most games will store
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significant amounts of state in other structures. For example, many games
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maintain a spatial index structure (e.g. a tile map or bounding volume
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hierarchy) used to find entities and obstacles near a certain location for
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efficient collision detection without searching the entire world.
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If you need to search for specific entities using criteria other than the types
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of their components, consider maintaining a specialized index beside your world,
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storing `Entity` handles and whatever other data is necessary. Insert into the
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index when spawning relevant entities, and include a component with that allows
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efficiently removing them from the index when despawning.
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### Other Libraries
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hecs would not exist if not for the great work done by others to introduce and
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develop the ECS paradigm in the Rust ecosystem. In particular:
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- [specs] played a key role in popularizing ECS in Rust
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- [legion] reduced boilerplate and improved cache locality with sparse
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components
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hecs builds on these successes by focusing on further simplification, boiling
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the paradigm down to a minimal, light-weight and ergonomic core, without
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compromising on performance or flexibility.
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### Disclaimer
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This is not an official Google product (experimental or otherwise), it is just
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code that happens to be owned by Google.
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[specs]: https://github.com/amethyst/specs
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[legion]: https://github.com/TomGillen/legion
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