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Cap jixia concurrency to avoid OOM in load step #14

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Merged
Gabrielebattimelli merged 1 commit into from
Jun 8, 2026
Merged

Cap jixia concurrency to avoid OOM in load step #14

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3 changes: 3 additions & 0 deletions .github/workflows/weekly-index.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,9 @@ jobs:
JIXIA_REPO: https://github.com/frenzymath/jixia
MODULE_NAMES: Physlib
DRY_RUN: 'false'
# Each jixia worker loads ~2-3 GB of Mathlib; cap concurrency so the
# runner (16 GB) doesn't get OOM-killed during the load step.
JIXIA_MAX_WORKERS: '2'
CHROMA_PATH: chroma
CONNECTION_STRING: ${{ secrets.DATABASE_URL }}
GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
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6 changes: 6 additions & 0 deletions database/jixia_db.py
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Expand Up @@ -176,12 +176,18 @@ def topological_sort():
with conn.cursor() as cursor:
lean_sysroot = Path(os.environ["LEAN_SYSROOT"])
lean_src = lean_sysroot / "src" / "lean"
# Each jixia worker loads the full Mathlib environment (~2-3 GB), so the
# default thread count (CPUs + 4) can exhaust memory and get the process
# OOM-killed. Cap it via JIXIA_MAX_WORKERS in memory-constrained CI.
max_workers_env = os.environ.get("JIXIA_MAX_WORKERS")
max_workers = int(max_workers_env) if max_workers_env else None
Comment on lines +182 to +183
all_modules = []
for d in project.root, lean_src:
results = project.batch_run_jixia(
base_dir=d,
prefixes=prefixes,
plugins=["module", "declaration", "symbol"],
max_workers=max_workers,
)
Comment on lines 186 to 191
modules = [r[0] for r in results]
load_module(modules, d)
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