PureXML/docs/benchmarks.md
Mihaela Mihaljevic 9e345ea0fe feat(xpath,parsing): public streaming surface, linear document-order at scale
EventReader.next(), both initializers, and the Event alias are public
(an internal typealias in a split file had been shadowing the public
Parsing.Event); a new PureXMLPublicAPITests target compiles without
testable import so facade gaps fail CI. The large-corpus benchmarks
exposed document-order sorting as quadratic on flat fan-outs; the fix's
first attempt was itself worse (an eager sibling table built per
predicate evaluation), caught by sampling the live run, and replaced
with a lazy table: single-node sets never touch order keys and a
parent's table builds on its second lookup. XPath at 42 MB drops
27.1 s to 1.57 s (190x to 11.7x); at 210 MB PureXML completes in 9.4 s
the query libxml2 refuses at its 10M node-set cap (#143 tracks our
configurable budget). Benchmark harness: size series to 210 MB, CORPUS
mode for real files (NASA, SwissProt measured), SAX stage,
refusal-aware table, NULL-safe C driver. All conformance suites,
Linux, and WASM verified. Closes #142.
2026-06-11 06:06:31 +02:00

4.0 KiB

Benchmarks: PureXML vs libxml2 (#139)

bash scripts/benchmark.sh [items] [iterations] generates a deterministic corpus (never vendored), builds PureXML in release and the C driver against the macOS SDK's libxml2, runs both over the same bytes with internal timing (best-of-N, IO excluded), and prints the comparison. Both drivers also cross-check the same XPath count, so every benchmark run doubles as a cross-implementation correctness check.

Baseline (first measurement)

20000 items, ~4.2 MB, best of 5, Apple Silicon (Studio), release builds:

operation PureXML libxml2 ratio
parse 0.49 s 0.016 s ~30x
serialize 0.059 s 0.012 s ~5x
xpath 0.42 s 0.012 s ~36x

These are the honest starting numbers the #139 optimization passes burn down; the table updates as passes land, never silently.

Current record (size series + real corpora, best of 3)

corpus parse serialize xpath
generated 4.2 MB 0.34 s (18.7x) 0.064 s (5.5x) 0.15 s (11.9x)
generated 42 MB 3.49 s (18.7x) 0.63 s (5.6x) 1.57 s (11.7x)
generated 210 MB 19.3 s (19.7x) 3.19 s (5.6x) 9.4 s (libxml2: refused)
NASA ADC 25 MB (real) 1.73 s (24.5x) 0.42 s (8.0x) 0.76 s (19.4x)
SwissProt 115 MB (real) 11.0 s (22.0x) 1.77 s (5.5x) 5.0 s (18.7x)

Two findings only the large corpora could surface:

  • PureXML's document-order sort was quadratic on flat fan-outs (42 MB: 27 s in XPath, ratio 190x). Fixed; and the first fix attempt was itself quadratic in a worse place (an eager sibling-table built per predicate evaluation: one hour at 42 MB), caught by sampling the live run. The cache now early-outs single-node sets and builds a parent's table only on its second lookup. XPath at 42 MB: 27.1 s -> 1.57 s.
  • libxml2 refuses XPath evaluation past its XPATH_MAX_NODESET_LENGTH cap (10M nodes): the 210 MB corpus query returns NULL by design. PureXML completes it in 9.4 s. The protective counterpart for hostile input is tracked as #143.

Scaling: all three PureXML operations are linear in document size (ratios flat from 4 MB to 210 MB), and there is no 2 GB integer cliff (64-bit offsets throughout; libxml2's xmlReadMemory takes an int byte count).

Optimization log

pass change parse xpath serialize
baseline - 0.494 s (30x) 0.413 s (37x) 0.061 s (5.5x)
1 allocation-free Reader.matches() 0.414 s (26x) unchanged unchanged
2 byte-backed Reader (owned UTF-8 storage, pointer-decoded scalars, byte-level literal match/consume) 0.375 s (23x) unchanged unchanged
3 bulk content runs (plain-ASCII character data scanned and consumed at the byte level, String built once per run) 0.335 s (20x) unchanged unchanged

Profile findings (first sample, parse path)

Top of stack, release build: String.Iterator.next (the per-character pull closure chain), _stringCompareWithSmolCheck (Character equality in matches/peek), String._uncheckedFromUTF8 and _allASCII (small-string materialization), bridgeObjectRelease/swift_release (ARC on Character buffers), UnicodeScalarView.distance. The Reader's architecture: one closure call per scalar, [Character] lookahead, Character-typed classification. The structural fix is a byte-level (UTF-8) scanner with scalar classification tables; that is its own #139 pass, designed, not patched.

Known structure of the gap

  • Parse and XPath dominate; serialize is closest.
  • The scanner-vs-tree split needs the SAX stage, blocked on #142 (the public streaming surface is internal today).
  • Suspects to profile, in order: Character/grapheme-based scanning versus byte scanning, per-scalar reader buffering (#135), ARC traffic in tree construction, XPath node-set materialization on every axis step.

Rules

  • Optimize only what these numbers indict, one suspect per pass, with the before/after recorded here.
  • The corpus generator changes only with a note here, since ratios are only comparable over identical corpora.