# Cap'n Proto — Insanely Fast Serialization and RPC > A data interchange format and RPC system designed for zero-copy reads, created by the original author of Protocol Buffers as a successor with no encoding or decoding step. ## Install Save as a script file and run: # Cap'n Proto — Insanely Fast Serialization and RPC ## Quick Use ```capnp # schema.capnp struct Person { name @0 :Text; age @1 :UInt32; email @2 :Text; } ``` ```bash capnp compile -oc++ schema.capnp # Generates schema.capnp.h and schema.capnp.c++ ``` ## Introduction Cap'n Proto is a serialization framework where the in-memory representation IS the wire format. There is no encode/decode step — data is read directly from the serialized bytes via pointer arithmetic. This makes it faster than Protocol Buffers for many workloads, especially when only a subset of fields are accessed. ## What Cap'n Proto Does - Serializes structured data with zero-copy reads (no parsing or unpacking required) - Provides a built-in RPC system with promise pipelining to reduce network round trips - Defines schemas in a dedicated language with forward/backward compatibility guarantees - Generates type-safe bindings for C++, Rust, Go, Python, Java, and JavaScript - Supports memory-mapped files for instant random access to large datasets ## Architecture Overview Cap'n Proto uses a pointer-based layout where each struct and list is stored at a fixed position with inline pointers to child objects. Reading a field is a single pointer dereference with no deserialization. The RPC layer uses object capabilities and promise pipelining: a client can call a method on a not-yet-returned result, and the framework batches the calls into a single network round trip. ## Self-Hosting & Configuration - Install the capnp compiler from your package manager or build from source - Add the runtime library as a dependency (libcapnp for C++, capnp crate for Rust) - Define schemas in .capnp files and compile to target language bindings - Use packed encoding for wire transfer to reduce size by 50-90% for sparse messages - Integrate with CMake or Bazel using provided build rules ## Key Features - Zero-copy deserialization: read fields directly from the byte buffer with no allocation - Promise pipelining in the RPC layer eliminates sequential round trips for chained calls - Schema evolution supports adding/removing fields without breaking existing readers - Time-travel RPC: call methods on future results before they arrive - Canonical encoding enables content-addressable storage and deterministic hashing ## Comparison with Similar Tools - **Protocol Buffers** — requires encode/decode steps; Cap'n Proto skips this entirely for faster reads - **FlatBuffers** — also zero-copy but lacks an RPC system and promise pipelining - **MessagePack** — schema-less binary format; Cap'n Proto provides type safety and faster random access - **Apache Thrift** — includes RPC but encoding is not zero-copy; Cap'n Proto is faster for read-heavy workloads - **gRPC** — HTTP/2-based RPC on top of protobuf; Cap'n Proto RPC is lower-level with less overhead ## FAQ **Q: When should I choose Cap'n Proto over Protocol Buffers?** A: When read performance matters more than wire size, or when you need promise pipelining in your RPC layer. For simple request/response APIs, protobuf/gRPC has a larger ecosystem. **Q: Is Cap'n Proto suitable for network protocols?** A: Yes. Use packed encoding for wire transfer and the built-in RPC framework for structured communication. **Q: Can I use Cap'n Proto without the RPC system?** A: Absolutely. The serialization format works standalone for storage, IPC, or any data interchange scenario. **Q: How does schema evolution work?** A: Fields are identified by number. New fields can be added with new numbers, and removed fields become unknown data that is preserved on read-modify-write. ## Sources - https://github.com/capnproto/capnproto - https://capnproto.org --- Source: https://tokrepo.com/en/workflows/asset-a6f39f13 Author: Script Depot