Designing your Data: The Bread and Butter of APL Performance
summary
Shows concrete data encoding techniques for mapping JSON-like records into flat numeric arrays, uses core APL primitives and tacit array transforms to avoid allocation-heavy loops, and builds a microservice prototype that replaces object maps with columnar arrays. Benchmarks show about a 12× improvement in query throughput and much lower memory churn. Explains when those encodings fail, which idioms to prefer, and the actual code patterns that produce the speedups.
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