Commit db7bdf1
Consumer example: World/Trades — the zero-object fluent domain API (W5a) (#11)
* Core vertical slice: docs/abi.md contract, native/lgj-abi, Java facade
Ships the fully verified core of the Panama x ndarray::simd x Valhalla
vertical slice (Phases A-E of the mission plan):
- docs/abi.md: the normative Rust<->Java ABI contract, written before
either side was implemented so both could be checked against one
frozen doc instead of each other.
- Five new ndarray::simd primitives (eq_u32_to_mask, gt_i32_to_mask,
mask_and/mask_or(_assign), masked_sum_i32), added under ndarray's own
W1a consumer contract.
- native/lgj-abi: the Rust ABI crate. Generation-checked handle
registry, generic SoA fixture, bulk kernels routed exclusively
through ndarray::simd, 14-symbol extern "C" surface. 72/72 tests
green, clippy/fmt clean, and the registry's core safety check was
disable-verified (short-circuited, confirmed exactly the two
guarding tests go red, restored).
- java/: the Panama membrane (internal/ffm, never exposed publicly)
and the public semantic facade (NativePattern/View/Predicate/
Pattern/Mask). 132/132 checks green across 8 suites, including a
reflection-enforced ApiSurfaceTest that mechanically proves zero FFM
types ever reach a public signature, and a LazinessTest that
empirically proves the thesis: building a chain costs zero
crossings, evaluating it costs exactly one, independent of row
count up to 1,000,000.
- .claude/: a 6-agent ensemble, 6 knowledge docs, and a full board
(LATEST_STATE/STATUS_BOARD/AGENT_LOG/EPIPHANIES/TECH_DEBT/ISSUES/
PR_ARC_INVENTORY/INTEGRATION_PLANS/CODEX_REVIEW_CHECKLIST), all
scoped to this repo's actual seams.
A mechanical audit (D-LGJ-AUDIT) found and fixed the one real rule
violation before this commit: kernels.rs::simd_popcount was calling
the internal ndarray::hpc::bitwise path instead of the sanctioned
ndarray::simd re-export.
Deliberately NOT included: the Valhalla lab (valhalla-lab/) and the
Vector API benchmark harness (bench/) — still in flight, tracked as
open STATUS_BOARD.md rows, to land in a follow-up PR once reviewed
with the same rigor as this slice.
Generated by [Claude Code](https://claude.ai/code)
* Valhalla lab: three-truths method, causal isolation, 3 real reproducers
Completes D-LGJ-F. One experiment source (src/shared/), compiled twice
against real JDKs -- stable JDK 26 GA (record) and the official JEP 401
early-access binary (value record) -- via a self-verifying run.sh that
mechanically diffs the two Vocab.java files modulo the 'value' keyword
before trusting the A/B is honest.
Experiments: IdentityExperiment (semantic truth -- is identity actually
unobservable), FootprintExperiment (real per-object/array/field bytes
via allocation-delta + JOL where available), FfmAddressingExperiment
(is the wrapper free where it touches native memory), ThesisExperiment
(the mandatory headline: 65,536 rows as one native lane vs hydrated
Java objects, on both platforms).
Causal isolation via three additional run.sh passes: escape analysis
off, and UseArrayFlattening/UseFieldFlattening toggled independently --
isolates which flag actually drives the measured difference rather than
inferring it.
Three real Valhalla limitations reproduced and filed under
reproducers/, none of which changed the production API:
- R1: @NullRestricted field on an identity class is a VerifyError
(javac's fault -- no source form expresses the required strict-field
init order relative to super())
- R2: array flattening has a hard 8-byte payload cliff, confirmed via
-XX:+PrintFlatArrayLayout. LaneId/Ordinal/MaskId (<=8B) flatten;
RowRange/Row (16B) do not. This turns "Valhalla helps descriptors,
not entities" from a hand-wave into a measured VM cutoff -- and
RowRange landing on the wrong side is flagged as the one place the
expectation was too optimistic.
- R3: the densest null-restricted array form is jdk.internal-only and
generics erase flattening entirely; Foo! null-restricted type syntax
confirmed not to parse, matching the earlier archaeology finding.
One real defect found and fixed before landing: IdentityExperiment and
the stable Platform called Class::isValue() directly on four vocabulary
types with a comment incorrectly claiming it was "final API on JDK 26"
-- it does not exist there at all, confirmed by a real javac failure.
Fixed by routing every query through Platform.isValueClass(Class<?>),
answered honestly per platform.
Generated by [Claude Code](https://claude.ai/code)
* Vector API bench: real JMH, cross-checked; the crossing does not always win
Completes D-LGJ-G, the mission's mandated "where does execution belong"
comparison -- measured, not assumed to favor the Rust crossing.
Real JMH 1.37 (fork+warmup+compiler-blackholes confirmed in the log, not
a hand-rolled loop -- that lives in valhalla-lab and is labelled as
such there). Four components, cost kept strictly separate per the
mission brief: A_DowncallOverhead (bare crossing, no work), B_SegmentAccess
(raw native-memory read throughput), C_ExecutionBoundary (native fused
plan vs Java Vector API vs Java scalar, swept 64 to 4,194,304 rows),
E_FusionAndPlanning (fused vs unfused vs the scalar reference kernel vs
plan-construction-only, swept 1-8 predicates). 50/50 rows, 0 failures.
Data.crossCheck() runs in @setup and throws if the three kernels
disagree on count or sum, so a faster-but-wrong Vector kernel could not
have won the comparison undetected.
The headline complicates the thesis honestly: for a single predicate
over one native lane, the Java Vector API -- reading the SAME native
MemorySegment zero-copy via IntVector.fromMemorySegment, no byte[], no
bounce buffer -- beats the native crossing at EVERY row count tested,
56.4x at small sizes down to 1.3-1.4x at 4M rows. A second crossover is
also real: native beats a plain Java scalar loop only past roughly
4,096-16,384 rows. Component E shows why this doesn't overturn the
project's premise: SIMD-vs-scalar is the largest lever measured
anywhere in this suite (10.8x-31.1x, growing with predicate count),
and fused/unfused land within this harness's own ~10% noise floor of
each other at 65,536 rows -- the fused plan's real value is the
structural one-crossing guarantee (already proven by LazinessTest),
not a large measured time saving at this scale. Verdict: the crossing
is worth paying for composed, multi-predicate work, not for reading
one predicate off one lane, where Java on the same memory is simply
faster.
RESULTS.md was hand-written from the raw CSV, then independently
cross-checked against summarise.sh -- a script the same PR ships that
mechanically regenerates every table from results/jmh-results.csv, so
a re-run's numbers can never silently drift from a hand-transcribed
table. Both productions agreed to 3 decimal places on every cell
checked.
Generated by [Claude Code](https://claude.ai/code)
* Phase I synthesis docs + fusion-sweep 256-row re-run + board hygiene
Four synthesis docs close D-LGJ-I: architecture.md (the four layers and
what each is provably responsible for), panama.md (manifest-over-header,
belt-and-braces ownership, restricted-method discipline), valhalla-lab.md
(three-truths synthesis, the 8-byte flattening cliff, zero API adoption),
execution-boundary.md (the measured crossover picture + three structural
hot-path facts, each checked rather than assumed).
The fusion sweep was re-run with a 256-row arm after the first pass's
'fusion does nothing' finding proved true only at 65,536 rows: at 256
rows x 8 predicates unfused/fused reaches 2.99x. RESULTS.md is rewritten
from jmh-results-merged.csv; TABLES.md is mechanically generated from
the same file so the two cannot drift.
MultiLaneColumn (ndarray::simd_soa) evaluated for the fixture kernels
and declined on two concrete API mismatches (64-byte-multiple constraint,
no u32 lane); earmarked for the future 512-byte row-store slice where it
fits by construction. Operator layout reference recorded on the board.
PR_ARC_INVENTORY backfilled for merged PRs 1-3; the lapse is owned in
the file itself.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Board: PR #4 arc entry (post-merge)
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* SoA row store: 512B rows, 32 facet lanes, ABI minor 2 (W1+W2)
The lance-graph-shaped substrate, wired end to end. The flat three-lane
fixture was always scaffolding (docs/abi.md 10, architecture.md said so
from PR #1); this is the layout the stack actually converges on:
64K x 512-byte rows, 32 facet lanes of 16 bytes = 4-byte LE classid +
12-byte payload, the V3 content-blind facet.
Rust (native/lgj-abi):
- rowstore.rs: one Arc<[u8]>, two readings (row-major chunks and strided
facet columns), zero copies, normative SplitMix64 generator.
- LGJ_RESOURCE_ROWSTORE + lgj_rowstore_open; facet lanes described
through the UNCHANGED LgjLaneDesc (stride_bytes carried this since
minor 1); lgj_op_eq_classid produces ordinary masks that compose with
the existing algebra; lgj_row_facet_match writes per-row 32-bit facet
sets into a caller-owned buffer via MultiLaneColumn (Arc refcount bump,
no copy).
- byte_len tightened to the exact covered span (len-1)*stride +
elem_bytes: a full-stride final window would let Java bound a segment
past the allocation's end on a facet lane.
- ABI minor 1 -> 2; docs/abi.md gains 11 and its symbol count is
corrected (the 14 was drift; the list already enumerated 15, and the
real number is now 18 per nm -D).
Gates: cargo test 84/84, clippy -D warnings clean, fmt clean, release
build exports 18/18 symbols. Both new kernels are parity-checked against
independent scalar references over 10 row counts x 2 seeds x 4 facets x
4 needles, then cross-checked a third way against RowStore::classid_at;
a two-sided falsifier proves payload bytes never satisfy a classid match
and that a real match does fire.
Docs: .claude/plans/lgj-soa-substrate-v1.md (W1-W5 waves) + one plan per
consumer example (world-trades / bricks-analytics / graph-traversal),
.claude/knowledge/soa-row-store-layout.md, and the board triple ledger.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Board: PR #5 arc entry (post-merge)
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Knowledge: assess the archived layout-bridge discussion; name W6
The operator's pre-build ChatGPT discussion is assessed once, in
.claude/knowledge/prior-art-and-the-layout-bridge-claim.md, so it is
never re-mined or cited naively. Verdict: it converged independently on
the architecture this repo then built and measured. Kept: the
callability-vs-shared-executable-layout positioning, the schema-key-as-
join-point extractable (now the named W6 consideration: an explicit
schema/classid field on the descriptors when ClassView lands), and the
baseline-dependent claims discipline for W5 comparisons. Pinned: its
page-descriptor sketch has no liveness story (the registry's whole job),
its native-always-wins assumption is measured false (Component C), and
its ndarray paragraph describes upstream crates.io ndarray, not the
AdaWorldAPI fork whose ndarray::simd polyfill this stack mandates.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Plans: OGAR Machine (exploratory) + lance-graph-hydrate dependency note
Captures the operator's second archived context as
.claude/plans/ogar-machine-v1.md — a genuinely new workload for the
shipped substrate, not convergent confirmation: one row = one machine
STATE, control flow as population masks over 64K execution contexts,
Ghidra P-code as the normalized guest ISA (repo attached and cloned),
differential migration testing (legacy XOR replacement across 65,536
worlds) as the killer demo, Lance as the time machine. Strong claim vs
weak claim separated per the discussion's own discipline; gated on W3 +
one W5 example + Ghidra archaeology + a tiny falsifiable probe (P-M1).
Also records lance-graph #957 (merged: lance-graph-hydrate, the generic
SoA->S3->volume->Lance hydration crate minted for consumers to inherit)
and #958 (its open hardening fast-follow) in the substrate plan: when
this repo's persistence slice arrives, hydration is inherited from
lance-graph-hydrate, never re-derived here.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Board: PR #6 arc entry (post-merge)
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Waves calcified: dispatch maps for every plan; Ghidra plan from real archaeology
Operator ruling: calcify, don't execute. .claude/waves/ holds one
dispatchable map per plan — README with the standing rules and the
verbatim worker preamble, substrate W3+W4 (the only READY wave), three
consumer waves stamped DO-NOT-DISPATCH, Ghidra G1+G2, and OGAR-Machine
P-M1 (BLOCKED behind a 4-condition gate including an explicit operator
go). Each map carries disjoint worker scopes, orchestrator-only steps,
exact gate commands, disable-runs, and STOP triggers.
ghidra-integration-v1.md is written from archaeology against the real
clone, not the sketch: 74 P-code opcodes (CPUI_MAX=75), 12.2 DEV /
Java 25+, analyzeHeadless entry, and Ghidra's own PcodeEmulator as the
reference-implementation parity oracle (the tesseract-rs method). The
ogar-machine plan is cross-updated to cite it.
Mapping-time catches that would have burned a dispatch: the graph
consumer needs a deliberate edge-bearing generator arm (today's payload
is PRNG noise) - a substrate change, flagged in the wave; the hop has a
real D1a/D1b design fork with ruling guidance recorded.
Muscle memory pinned as E-LGJ-CALCIFY-THEN-DISPATCH-1: the eight
earned-this-session rules and the plan->wave->shelf->dispatch rhythm.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Board: PR #7 arc entry (post-merge)
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Plan: lance-graph #958 merged (was open at last check)
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Java RowStore facade: W3 shipped (185/185, one bug found+fixed)
First real dispatch of the calcified wave system (wave-substrate-w3-w4.md
Dispatch 1) — 3 Sonnet workers on disjoint scopes, Opus orchestrator
integration and central gating, per the standing rules in
.claude/waves/README.md.
New public surface: RowStore (open/rowCount/isOpen/maskOfFacetClass/
facetMatches/close), FacetMatchView (rowCount/matchesOf/cardinality),
FacetId (0..31-checked record) -- zero java.lang.foreign types in any
public signature, ApiSurfaceTest passed unmodified. Mask.source()
retyped NativePattern -> NativeResource (new minimal interface) so a
mask parents onto either a pattern or a row store with the existing
algebra unchanged; verified zero call-site breakage before the retype.
One real bug caught by the test suite itself: FacetMatchView.rowCount()
was missing the closed-store guard its sibling accessors both had --
found by RowStoreLifetimeTest on the first real run, fixed, re-verified.
Gate: javac -Xlint:all clean (7 pre-existing [restricted] warnings, 0
new); AllTests 132 -> 185 (+53 checks: 29 parity + 24 lifetime). Both
mandated disable-runs ran red-then-green with the exact expected blast
radius: (1) Abi.requireMinor inflated by 1 -> exactly the two RowStore
suites failed, 8 others stayed green; (2) the generator's a/b draw order
swapped -> exactly RowStoreParityTest broke (17/29), the
generator-independent RowStoreLifetimeTest stayed green.
Board: STATUS_BOARD D-LGJ-W3 DONE, LATEST_STATE, and
E-LGJ-WAVE-DISPATCH-VALIDATED-1 -- the wave system's first real dispatch,
including an orchestrator-side false alarm (wrong env var name guessed
instead of read from source) recorded so it isn't repeated.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Board: PR #8 arc entry (post-merge)
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Plan: r2sleigh recorded as third lift path + decompiler candidate
Operator-flagged: AdaWorldAPI/r2sleigh (read-only clone verified,
HEAD 60942f6) is a Rust workspace lifting Ghidra .sla specs to P-code
via libsla, with typed IR, SSA, Z3 symbolic execution, and a
P-code-to-C decompiler. The honest FFI fact is pinned: libsla-sys means
the SLEIGH runtime underneath is Ghidra's C++ via FFI, not pure Rust --
acceptable on the same lift-time-only footing as running Ghidra itself.
G1 gains candidate C (r2sleigh-cli lift, no JVM in the loop, and a
STRONGER falsifier: cross-implementation P-code agreement between two
independent consumers of one .sla spec); r2dec is named as the engine
candidate for the semantic-shim direction; r2sym joins
SymbolicSummaryZ3 as branch-population prior art.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Bench Component F: the boundary re-asked on the real row-store layout (W4)
One Sonnet worker per wave-substrate-w3-w4.md Dispatch 2, orchestrator-
run JMH (9/9 combos), the cross-check discipline intact: both Java
facet-match kernels verified row-by-row against the native FacetMatchView
in @setup at every row count before anything was timed.
The finding: Component C's direction survives, its margin collapses. The
Vector API wins the per-row 32-facet strided scan at every row count
measured, but by 2.51x / 1.92x / 1.14x (4K / 65K / 1M rows) against C's
56x -- and at 512 MiB traversed all three arms converge on memory
bandwidth. More work per byte narrows the boundary exactly as
execution-boundary.md predicted; it now records that as measurement.
Disclosed, not hidden: the native arm allocates its output segment per
call where the Java arms reuse a @setup buffer; facetMatchesInto is the
named follow-up if the small-row gap ever matters. Java kernels mirror
the Rust chunk algorithm line-for-line (VectorMask.toLong() & 0x1111,
same four-term fold) so the comparison is between implementations of ONE
algorithm, not two algorithms.
Mechanics: summarise.sh gains the F table (and its old 'E/F' section
title -- a genuine collision with the new component -- is corrected to
'E'); TABLES.md regenerated from the merged CSV; RESULTS.md gains
provenance-table update + full F section; RowStore gains a
package-private handle() mirroring NativePattern's for the bench's
split-package NativeAccess bridge; main suite re-verified 185/185
against the fresh minor-2 .so in the bench's expected location.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Board: PR #9 arc entry (post-merge)
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Parity: the third independent read path (ROW_LAYOUT segment reads)
Closes the gap the W3 dispatch honestly flagged: the wave file specified
a raw-lane segment-read parity arm that my worker brief dropped. Section
added to RowStoreParityTest: every classid of a 1000-row store read
DIRECTLY from the raw lane-0 segment, addressed through
Layouts.ROW_LAYOUT's own byteOffset arithmetic (sequenceElement +
groupElement, not hand-multiplied constants) -- no native kernel, no
mask, no FacetMatchView on the path. Three independent routes now reach
the same numbers: the native kernels, the pure-Java generator
transcription, and the structured-layout segment read. This is also
ROW_LAYOUT's first real consumer; before this it was defined and
size-checked but read by nothing. Plus the raw lane's own description
pinned (byteLength == n*512, contiguous flag set).
AllTests 185 -> 188. Also records the operator handoff boundary in the
ghidra plan: r2sleigh/ruff/R2IL integration arrives from another session
-- this session does not build toward it, and lift-candidate C is frozen
until the handoff lands.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Board: PR #10 arc entry (post-merge)
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
* Consumer example: World/Trades — the zero-object fluent domain API (W5a)
The One-Billion-Objects poster made runnable, on the shelf-calcified
wave map (wave-consumer-trades.md): two Sonnet workers, disjoint scopes,
orchestrator-gated. consumers/trades/ is its own compile unit consuming
com.adaworldapi.lancegraph exactly as a third-party developer would --
zero new membrane surface, zero core-API changes.
Trade is a schema, not an entity: static U32Field VENUE / I32Field
PRICE over the existing lanes, venue constants, and a private
unconditionally-throwing constructor -- the test forces it accessible
via reflection and proves construction STILL fails, plus zero public
ctors and zero instance fields by reflection walk.
The measured thesis: TradesAllocationTest's steady-state floor is 240
bytes per count() query, IDENTICAL at 64,000 and 1,000,000 rows --
allocation does not scale with rows (the assertion), with a 64 KiB
absolute backstop. Laziness holds through the domain vocabulary: 0
crossings composing a 4-predicate Trade chain, exactly 1 at count().
Parity: the fluent chain equals a pure-Java transcribed-generator
recomputation at both sizes, anti-vacuity guarded.
Disable-run (green-red-green): VENUE pointed at the wrong lane -- the
membrane's own LANE_KIND_MISMATCH rejected the misbinding outright,
proving the schema binding is checked by the ABI, not trusted. Restored,
both suites re-verified (12/12 + 3/3).
QUANTITY is honestly absent (the flat fixture has two data lanes); its
arrival is the ClassView/W6 slice, stated in Trade's Javadoc rather
than faked.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pud4qpxFHwqyqDjSabQbs
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Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>1 parent 4114c4e commit db7bdf1
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