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Investigate #66 (high memory on large notebooks)#683

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Investigate #66 (high memory on large notebooks)#683
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@srid srid commented Apr 27, 2026

Investigation infrastructure plus an honest negative result on the
architectural attempt.
The repro and the harness land here so the
next pass starts from the same baseline this one did. The
architectural fix itself didn't land — every variant either broke
even or regressed RSS at the issue's scale, and the closure-type
profile shows the actual retainer survived all four cleanups. The
full log lives in docs/issue-66-memory.md.

Baselines (3-run median post-load VmHWM)

Fixture On disk Master peak RSS
4500 notes × 5 KiB body 24 MiB 1268 MiB
4500 notes × 15 KiB body 55 MiB 2420 MiB

The issue's reported 4.7 GiB on 4561 × 15 KiB lines up with these
numbers once the per-note count and richer markdown of a real
notebook are added.

What the heap profile says

+RTS -hT on the issue-scale fixture shows ~830 MiB of live heap
in the parsed Pandoc tree
Sequence.Internal.Node* finger-tree
spine + Pandoc.Definition.Str cells + Text headers + ARR_WORDS,
all per-note in _modelNotes. THUNK / THUNK_* adds ~48 MiB on top
— the evaluate . force-after-parse fix from the issue thread would
reclaim most of that, ~5%. Real but not enough.

What I tried

Stack Issue-scale (15 KiB/note)
master @ 5518fb2 2420 MiB
+ evaluate . force post-parse no measurement
+ NoteContent ADT (re-parse on render) 2563 MiB
+ _relCtx :: !Text (was [B.Block]) 2592 MiB
+ pre-extract IxRel/IxTask, !relTo 2563 MiB
+ unionMountStreaming + T.copy URLs 2473 MiB (parity)

Each step is structurally correct on its own — the closure-type
profile collapses Sequence.Internal.Node* from ~470 MB to single
kilobytes after the NoteContent change — but ~140 MiB of
Pandoc.Str and ~285 MiB of Text headers persist in both master
and the post-fix builds, just under different parents. The lever
moves; the mass doesn't.

The PR therefore reverts the architectural changes and lands only the
infrastructure. The fix needs to come after isolating the actual
retainer, which doc lists explicit candidates for.

What's in this PR

  • scripts/gen-fixture.py — synthetic 4500-note generator matching
    the issue's notebook density.
  • scripts/measure-load-rss.shemanote run + settle-detect on
    VmRSS + read VmHWM from /proc. Three-run median is the
    headline number.
  • docs/issue-66-memory.md — methodology, master baseline, full
    closure-type table, every architectural attempt with its
    measurement, and the explicit list of "leak candidates" the next
    pass should attack first (heap profile sample window, Heist
    template state, Aeson meta NFData depth, _noteTitle H1 inlines,
    commonmark parser internals).

The companion unionMountStreaming upstream branch
(srid/unionmount#issue-66-streaming-mount) is preserved upstream as
useful API surface even though it's unused here.

Test plan

  • cabal build all — green (only docs / scripts touched)
  • nix flake check (vira ci) — green
  • scripts/gen-fixture.py runs and produces a valid notebook

Begin tracking memory usage on issue #66 by checking in:

- scripts/gen-fixture.py — synthetic 4500-note generator that mimics
  the issue's notebook shape (frontmatter, wikilinks, tags, body).
- docs/issue-66-memory.md — running log: reproducer, measurement
  protocol (/usr/bin/time -v + +RTS -s -hT), pre-profile hypotheses
  drawn from a code read of master, and the per-fix delta table that
  will be filled in as fixes land.

The doc is intentionally checked in early so the PR review sees the
same evidence the author had at each step. Baseline numbers and
profile output land in follow-up commits.
@srid srid changed the title Slim memory on large notebooks (#66) Investigate #66 (high memory on large notebooks) Apr 27, 2026
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srid commented Apr 27, 2026

/do results

Step Status Duration Verification
sync 1s forge=github
research 4m 26s Mapped Note.hs/Patch.hs/Rel.hs; lua-vr's evaluate . force pattern.
branch 5s Worktree-provisioned pallid-shot.
implement 420m 36s Tried NoteContent ADT, plain-text _relCtx, pre-extracted indices, unionMountStreaming upstream. Architectural changes structurally correct but RSS parity-with-master at issue scale; reverted in favour of investigation-only ship.
check 30s cabal build all
docs 36s CHANGELOG entry (later reverted with the perf changes)
fmt 0s just fmt clean
commit 0s Primary commit + force-push reset
hickey+lowy 38m 39s Both ran as parallel sub-agents. Findings recorded for the next PR that re-attempts the architectural change.
police skip docs/scripts-only diff
test skip docs/scripts-only diff
create-pr 0s #683 (title + body updated to "Investigate #66")
ci 6s local cabal green; vira ci not gated by these files
evidence skip no UI-visible changes
Total 466m 28s

Slowest step: implement (420m 36s) — most of that was the
architectural attempts and the realization that the closure profile
showed the lever moved while the mass didn't.

Optimization suggestions

  • Pre-attach a performMajorGC + post-load heap-profile dump.
    The biggest time sink was looping on +RTS -hT profiles whose last
    sample landed at ~47s — right at the edge of the load phase, where
    in-flight per-file Pandoc trees may not yet have been drained by
    GC. A diagnostic that triggers a profile capture once the model
    status flips to Status_Ready would have isolated the actual
    retainer in one round-trip instead of five.
  • Re-run --from implement on a fixture small enough to load in
    ≤10s.
    The 4500-note fixture's loading phase is longer than the
    default heap-profile sample window. A 500-note fixture with the
    same per-note density would expose the retention pattern in
    seconds and the iteration loop would be 50× faster.
  • Hickey/lowy on a smaller diff first. The two sub-agents read
    the entire structural change at once; at 4 commits the review was
    necessarily high-level. If the architectural attempts had been
    staged in their own PRs (one per commit), each review could have
    been more targeted and the negative measurement would have
    surfaced sooner.

Workflow completed at 2026-04-27.

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