Data Formats & Serialization

Data representation, serialization contracts, field-update semantics and reconstruction of structured information.

Showing 1–3 of 3 guides

Nested columnar data infographic showing five parent records, collection tags and offsets, null-element validity, compact integer leaves, structural alternatives, malformed-column checks and complete shape reconstruction.

How nested columnar data reconstructs boundaries and optional values

Reconstruct nested rows with collection tags, offsets and validity, preserving null and empty states while rejecting inconsistent structural columns.

Canonical serialization infographic defining semantic equality, deterministic-encoding counterexamples, exact recursive byte rules, lossy normalization, separate source retention and equivalent-versus-distinct input checks.

9 min read

How canonical serialization defines equality before byte encoding

Define canonical equality, distinguish determinism from canonicality, fix exact byte rules, and test equivalent values without merging distinct classes.

Missing fields versus null infographic showing Keep, null and empty-string assignment, explicit removal, partial update versus replacement, ordered field transitions, malformed instructions and complete-result checks.

9 min read

How missing fields versus null define partial-update transitions

Separate Keep, null assignment and Remove, compare partial updates with replacement, and verify presence, action order and malformed instructions.