Packing Binary Is Fun, Actually

The ability to shrink data payloads by 80% could dramatically cut bandwidth costs and latency for applications transmitting large amounts of structured data.

The author developed a custom binary serialization format called jBin, which aims to significantly reduce the size of JSON payloads, reportedly by up to 80%. The process involved creating a schema language to define data structures, enabling the format to omit type information with each data entry, similar to how Protocol Buffers operate. This approach leverages varints for integers and booleans, fixed-width for floats, and a length-prefixed method for strings. The binary format encodes field numbers and types within a single varint, optimizing space efficiency. The author details the journey of building this system, from understanding basic binary encoding of characters and integers to implementing a schema syntax that supports custom types, lists, enums, and optional fields with default values. The goal was to create a more efficient way to store and transmit structured data compared to traditional JSON.

The creation of jBin highlights a persistent industry trend towards optimizing data serialization for efficiency, driven by the increasing volume of data in modern applications. By defining a schema language, jBin abstracts away the complexity of binary encoding for developers, making efficient serialization more accessible. This move suggests a potential market demand for serialization formats that offer substantial size reductions over widely adopted formats like JSON, especially in environments where bandwidth or storage is a critical constraint.

The development process, starting from manual binary manipulation to a full schema language, mirrors the evolution of data serialization technologies like Protocol Buffers and Avro. The author's emphasis on a readable schema syntax and support for features like optional fields and custom types indicates an effort to balance efficiency with developer experience. This could influence future developments in how developers approach data interchange, potentially pushing for more integrated tooling that simplifies the adoption of performant binary formats.