Parsing JSON at tens of gigabytes per second… in Python
Summary
Daniel Lemire analyzes how to parse large JSON datasets in Python using fastsimdjson with lazy views, benchmarking several libraries (json, orjson, msgspec) and showing dramatic improvements with multi-threaded parsing. The post includes concrete code snippets and performance results up to 66 GB/s on 64 cores, illustrating practical approaches for high-throughput data pipelines.