L3 3.0: config (disks + rank->disk mapping + PLP gate)

CpL3Config (TOML/JSON): per-machine L3 disks (paths + budgets), backend, shared index
location/size, and the rank->disk mapping. disk_for_rank balances M CP ranks over N disks
(r % N; ranks share a disk gracefully — throughput is drive-count-bound) or honors an
explicit map; fail-loud on length/range mismatch. probe_disk_plp: O_DIRECT write+fdatasync
latency heuristic for the durability gate (non-PLP disk must fail loud when require_plp).
No hardcoded paths. 11/11 unit tests.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-06-20 23:08:24 +00:00
parent 04c6793ca4
commit b8ab180f1a
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# Copyright 2023-2024 SGLang Team
# Licensed under the Apache License, Version 2.0
"""CP HiCache L3 — configuration (config-driven, no hardcoded disk paths).
Per-machine config consumed by ``CpL3Store.from_config``: the L3 disks (paths + per-disk byte budgets), the
**rank -> disk mapping** (M CP ranks >= N disks; ranks may share a disk — throughput is drive-count-bound, not
rank-count-bound), the backend, the shared metadata-index location, and the **PLP durability gate** (L3
durability rides on power-loss-protected NVMe + O_DIRECT, NOT on the fsync barrier doing a NAND flush — so a
non-PLP disk is unsafe and must fail loud when ``require_plp`` is set).
Loadable from TOML or JSON. Pure parse + mapping + validation here; the PLP probe touches the disk at runtime.
"""
from __future__ import annotations
import json
import os
import time
from dataclasses import dataclass
from pathlib import Path
from typing import Optional, Tuple
CP_L3_CONFIG_FAILFAST_PREFIX = "[CP_L3_CONFIG_FAILFAST]"
CP_L3_VALID_BACKENDS = frozenset(("posix", "3fs"))
_GIB = 1024 ** 3
def _cfg_failfast(message: str) -> None:
raise ValueError(f"{CP_L3_CONFIG_FAILFAST_PREFIX} {message}")
@dataclass(frozen=True)
class CpL3DiskConfig:
path: str
budget_bytes: int
def __post_init__(self):
if not self.path:
_cfg_failfast("disk path must be non-empty")
if self.budget_bytes <= 0:
_cfg_failfast(f"disk budget must be positive; got {self.budget_bytes} for {self.path!r}")
@dataclass(frozen=True)
class CpL3Config:
backend: str
disks: Tuple[CpL3DiskConfig, ...]
require_plp: bool
index_map_bytes: int
index_dir: str
rank_disk_map: Optional[Tuple[int, ...]] # explicit per-rank disk index, or None == balanced round-robin
def __post_init__(self):
if self.backend not in CP_L3_VALID_BACKENDS:
_cfg_failfast(f"unknown backend {self.backend!r}; valid: {sorted(CP_L3_VALID_BACKENDS)}")
if not self.disks:
_cfg_failfast("at least one L3 disk is required")
if self.index_map_bytes <= 0:
_cfg_failfast(f"index_map_bytes must be positive; got {self.index_map_bytes}")
if not self.index_dir:
_cfg_failfast("index_dir must be non-empty")
# ---- rank -> disk mapping (balanced round-robin unless explicit) ----
def disk_for_rank(self, cp_rank: int, cp_size: int) -> int:
self.validate(cp_size)
if cp_rank < 0 or cp_rank >= cp_size:
_cfg_failfast(f"cp_rank {cp_rank} out of range [0,{cp_size})")
if self.rank_disk_map is not None:
return int(self.rank_disk_map[cp_rank])
# balanced: rank r -> disk r % N; each disk gets floor/ceil(cp_size/N) ranks (graceful sharing)
return cp_rank % len(self.disks)
def validate(self, cp_size: int) -> None:
if cp_size <= 0:
_cfg_failfast(f"cp_size must be positive; got {cp_size}")
if self.rank_disk_map is not None:
if len(self.rank_disk_map) != cp_size:
_cfg_failfast(
f"rank_disk_map length {len(self.rank_disk_map)} != cp_size {cp_size}"
)
for r, d in enumerate(self.rank_disk_map):
if d < 0 or d >= len(self.disks):
_cfg_failfast(f"rank_disk_map[{r}]={d} out of range [0,{len(self.disks)})")
@classmethod
def from_dict(cls, d: dict) -> "CpL3Config":
cfg = dict(d.get("cp_l3", d)) # accept either {cp_l3:{...}} or the inner dict
disks_raw = cfg.get("disks")
if not disks_raw:
_cfg_failfast("config has no 'disks'")
disks = tuple(
CpL3DiskConfig(path=str(x["path"]), budget_bytes=int(round(float(x["budget_gb"]) * _GIB)))
for x in disks_raw
)
rdm = cfg.get("rank_disk_map", "balanced")
if isinstance(rdm, str):
if rdm != "balanced":
_cfg_failfast(f"rank_disk_map string must be 'balanced'; got {rdm!r}")
rank_disk_map = None
else:
rank_disk_map = tuple(int(x) for x in rdm)
index_dir = str(cfg.get("index_dir") or os.path.join(disks[0].path, "l3_index"))
return cls(
backend=str(cfg.get("backend", "posix")),
disks=disks,
require_plp=bool(cfg.get("require_plp", True)),
index_map_bytes=int(round(float(cfg.get("index_map_gb", 16)) * _GIB)),
index_dir=index_dir,
rank_disk_map=rank_disk_map,
)
@classmethod
def from_file(cls, path: str) -> "CpL3Config":
p = Path(path)
if not p.exists():
_cfg_failfast(f"L3 config file not found: {path}")
text = p.read_bytes()
if p.suffix.lower() == ".json":
return cls.from_dict(json.loads(text))
import tomllib # py3.11+
return cls.from_dict(tomllib.loads(text.decode("utf-8")))
def probe_disk_plp(path: str, *, samples: int = 16, threshold_us: float = 200.0) -> Tuple[bool, float]:
"""Best-effort PLP probe: O_DIRECT 4K write + fdatasync latency. PLP/datacenter NVMe acks the flush from
non-volatile cache (~sub-100us; we measured ~89 ns on the Dell DC NVMe 7500); a consumer drive without PLP
pays a real NAND flush (ms). Returns (is_plp_like, median_fdatasync_us). Heuristic — the caller fails loud
when ``require_plp`` and this is False.
"""
os.makedirs(path, exist_ok=True)
probe = os.path.join(path, f".cp_l3_plp_probe.{os.getpid()}")
buf = None
fd = -1
lat = []
try:
try:
fd = os.open(probe, os.O_RDWR | os.O_CREAT | os.O_DIRECT, 0o600)
except OSError:
fd = os.open(probe, os.O_RDWR | os.O_CREAT, 0o600) # FS without O_DIRECT (e.g. tmpfs) -> buffered
import mmap as _mmap
buf = _mmap.mmap(-1, 4096) # page-aligned for O_DIRECT
buf[:] = b"\xA5" * 4096
for i in range(max(2, samples)):
os.pwrite(fd, buf, (i % 64) * 4096)
t0 = time.perf_counter()
os.fdatasync(fd)
lat.append((time.perf_counter() - t0) * 1e6)
lat.sort()
median = lat[len(lat) // 2]
return (median <= threshold_us, median)
finally:
if buf is not None:
buf.close()
if fd >= 0:
os.close(fd)
try:
os.unlink(probe)
except OSError:
pass

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"""Unit tests for CP HiCache L3 config (cp_l3_config): parse, rank->disk mapping, validation, PLP probe."""
import importlib.util
import os
import sys
import tempfile
import unittest
from pathlib import Path
from unittest.mock import patch
_REPO_ROOT = Path(__file__).resolve().parents[4]
def _load(name, rel):
module_name = f"_test_{name}_module"
spec = importlib.util.spec_from_file_location(module_name, _REPO_ROOT / rel)
module = importlib.util.module_from_spec(spec)
with patch.dict(sys.modules, {module_name: module}):
spec.loader.exec_module(module)
return module
m = _load("cp_l3_config", "python/sglang/srt/mem_cache/cp_l3_config.py")
_GIB = 1024 ** 3
def _cfg(**over):
d = {
"backend": "posix",
"disks": [{"path": "/cache/l3", "budget_gb": 2000}, {"path": "/mnt/nvme3/l3", "budget_gb": 1000}],
"require_plp": True,
"index_map_gb": 16,
}
d.update(over)
return m.CpL3Config.from_dict(d)
class TestConfigParse(unittest.TestCase):
def test_from_dict_basic(self):
c = _cfg()
self.assertEqual(c.backend, "posix")
self.assertEqual(len(c.disks), 2)
self.assertEqual(c.disks[0].budget_bytes, 2000 * _GIB)
self.assertTrue(c.require_plp)
self.assertEqual(c.index_map_bytes, 16 * _GIB)
self.assertEqual(c.index_dir, "/cache/l3/l3_index") # default = first disk
self.assertIsNone(c.rank_disk_map)
def test_accepts_cp_l3_wrapper(self):
c = m.CpL3Config.from_dict({"cp_l3": {"disks": [{"path": "/d", "budget_gb": 1}]}})
self.assertEqual(len(c.disks), 1)
def test_balanced_mapping_8ranks_4disks(self):
c = _cfg(disks=[{"path": f"/d{i}", "budget_gb": 1} for i in range(4)])
got = [c.disk_for_rank(r, 8) for r in range(8)]
self.assertEqual(got, [0, 1, 2, 3, 0, 1, 2, 3]) # 2 ranks/disk, balanced
def test_balanced_8ranks_3disks_graceful(self):
c = _cfg(disks=[{"path": f"/d{i}", "budget_gb": 1} for i in range(3)])
got = [c.disk_for_rank(r, 8) for r in range(8)]
self.assertEqual(got, [0, 1, 2, 0, 1, 2, 0, 1]) # ranks share disks gracefully
def test_explicit_rank_disk_map(self):
c = _cfg(disks=[{"path": "/a", "budget_gb": 1}, {"path": "/b", "budget_gb": 1}],
rank_disk_map=[0, 0, 1, 1])
self.assertEqual([c.disk_for_rank(r, 4) for r in range(4)], [0, 0, 1, 1])
def test_explicit_map_wrong_length_fails(self):
c = _cfg(rank_disk_map=[0, 1])
with self.assertRaises(ValueError):
c.disk_for_rank(0, 8) # map len 2 != cp_size 8
def test_explicit_map_oob_fails(self):
with self.assertRaises(ValueError):
_cfg(disks=[{"path": "/a", "budget_gb": 1}], rank_disk_map=[0, 5]).disk_for_rank(0, 2)
def test_empty_disks_fails(self):
with self.assertRaises(ValueError):
m.CpL3Config.from_dict({"disks": []})
def test_bad_backend_fails(self):
with self.assertRaises(ValueError):
_cfg(backend="leveldb")
def test_from_file_json(self):
with tempfile.TemporaryDirectory() as td:
p = os.path.join(td, "l3.json")
Path(p).write_text('{"cp_l3": {"disks": [{"path": "/x", "budget_gb": 5}], "index_map_gb": 8}}')
c = m.CpL3Config.from_file(p)
self.assertEqual(c.disks[0].budget_bytes, 5 * _GIB)
self.assertEqual(c.index_map_bytes, 8 * _GIB)
class TestPlpProbe(unittest.TestCase):
def test_probe_returns_bool_and_latency(self):
with tempfile.TemporaryDirectory() as td:
is_plp, median_us = m.probe_disk_plp(td, samples=4)
self.assertIsInstance(is_plp, bool)
self.assertGreater(median_us, 0.0)
if __name__ == "__main__":
unittest.main()