The original title is "How to split 10GB JSON files in seconds without hitting RAM limits"

Short summary

Instead of fully parsing JSON (which loads entire structures into RAM), this post demonstrates a byte-stream scanner that finds element boundaries using a state machine tracking nesting depth. The approach skips 80% of typical parser overhead; benchmarks show 4.1 GB/s throughput versus 400–700 MB/s for optimized parsers, with minimal memory cost and cache-friendly sequential access patterns.

• •Use byte-stream scanning with a state machine instead of full JSON parsing to avoid RAM overload on multi-gigabyte files
• •Skip 80% of parser overhead by identifying only structural boundaries, not parsing content
• •Achieve 4.1 GB/s throughput (vs 400–700 MB/s standard parsers) with zero extra memory allocations

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