fix(memlog): 按映射类型拆分 RSS,并记录 cgroup 内存构成

原分类把 [heap] 当成非匿名区域,导致会话中主 arena(brk 堆)的增长被漏报:
实测 9/21 会话 RSS 涨到 2474 MB 而"匿名区域"仅 193 MB,误判为已无增长。

- 把 [heap]、[anon...]、无名映射统一计入匿名 RSS,并单独记录 heap_rss_mb
- 新增 cg_anon_mb / cg_file_mb / cg_kernel_mb / cg_shmem_mb(memory.stat)
- 新增 top_named:按 RSS 排序的前三个文件映射,便于识别异常消费者
This commit is contained in:
RRRosmontis
2026-09-21 08:12:49 +08:00
parent 636ecbd974
commit c7f3f4496a
+95 -25
View File
@@ -5,11 +5,17 @@ Run once per minute by maa-online-memlog.timer. Each run appends one row to
<ROOT>/logs/memlog.csv (auto-rotated at 5 MB, one generation kept) and prints a
compact line to the journal.
The numbers tracked here are the ones that matter for the glibc malloc arena
behaviour: the service cgroup's anonymous memory, how much of it has been
pushed into swap, and how many large (>= 32 MB) anonymous mappings the process
holds. An arena-bloat regression shows up as the big-region count climbing
while the service is streaming.
Why this is instrumented the way it is: a streaming session makes the API
server's resident memory climb by tens of MB per minute and never give it back.
The interesting question each time is *where* it lands, so this sampler records
* the service cgroup's own breakdown (anon / file / kernel / shmem),
* the process RSS split into anonymous ([heap], [anon...], unnamed), named
file-backed mappings, and everything else,
* the largest named mappings, so an unexpected consumer names itself.
Anonymous memory that reaches swap is the failure mode we care about, hence the
explicit cg_swap_* and system swap columns.
"""
from __future__ import annotations
@@ -47,9 +53,19 @@ FIELDS = [
"sys_mem_avail_mb",
"sys_swap_used_mb",
"sys_swap_free_mb",
"cg_anon_mb",
"cg_file_mb",
"cg_kernel_mb",
"cg_shmem_mb",
"heap_rss_mb",
"anon_rss_mb",
"file_rss_mb",
"other_rss_mb",
"top_named",
]
MIB = 1048576
ANON_NAME = re.compile(r"^\[anon")
def read_text(path: Path, default: str = "") -> str:
@@ -60,13 +76,23 @@ def read_text(path: Path, default: str = "") -> str:
def cg_value(name: str) -> int:
raw = read_text(CG / name, "0")
try:
return int(raw)
return int(read_text(CG / name, "0"))
except ValueError:
return 0
def cg_stat(name: str) -> int:
for line in read_text(CG / "memory.stat").splitlines():
key, _, value = line.partition(" ")
if key == name:
try:
return int(value)
except ValueError:
return 0
return 0
def mb(value: int) -> float:
return round(value / MIB, 1)
@@ -98,10 +124,14 @@ def proc_uptime(pid: int) -> int:
return int(uptime - start_ticks / os.sysconf("SC_CLK_TCK"))
def proc_memory(pid: int) -> tuple[float, int, int, float]:
"""Return (rss_mb, anon_regions, big_anon_regions, anon_total_mb)."""
rss = anon_regions = big_anon_regions = 0
def proc_memory(pid: int) -> dict:
"""Split the process RSS by mapping kind, and name the biggest file mappings."""
rss = anon_rss = file_rss = heap_rss = 0
anon_regions = big_anon_regions = 0
anon_total = 0
named: dict[str, float] = {}
name = ""
is_anon = is_file = False
try:
with open(f"/proc/{pid}/smaps") as handle:
for line in handle:
@@ -109,17 +139,43 @@ def proc_memory(pid: int) -> tuple[float, int, int, float]:
parts = line.split()
start, end = parts[0].split("-")
size = (int(end, 16) - int(start, 16)) // 1024
path = parts[5] if len(parts) > 5 else "[anon]"
if path == "[anon]":
name = parts[5] if len(parts) > 5 else ""
is_anon = name == "" or name == "[heap]" or bool(ANON_NAME.match(name))
is_file = name.startswith("/")
if is_anon:
anon_regions += 1
anon_total += size
if size >= 32 * 1024:
big_anon_regions += 1
elif line.startswith("Rss:"):
rss += int(line.split()[1])
value = int(line.split()[1])
rss += value
if is_anon:
anon_rss += value
if name == "[heap]":
heap_rss += value
elif is_file and name:
file_rss += value
named[name] = named.get(name, 0.0) + value / 1024
except OSError:
pass
return round(rss / 1024, 1), anon_regions, big_anon_regions, round(anon_total / 1024, 1)
top = ", ".join(
f"{Path(n).name}={v:.0f}MB"
for n, v in sorted(named.items(), key=lambda kv: -kv[1])[:3]
if v > 0
)
return {
"rss_mb": round(rss / 1024, 1),
"anon_regions": anon_regions,
"big_anon_regions": big_anon_regions,
"anon_total_mb": round(anon_total / 1024, 1),
"heap_rss_mb": round(heap_rss / 1024, 1),
"anon_rss_mb": round(anon_rss / 1024, 1),
"file_rss_mb": round(file_rss / 1024, 1),
"other_rss_mb": round((rss - anon_rss - file_rss) / 1024, 1),
"top_named": top.replace(",", ";") or "-",
}
def system_memory() -> tuple[float, float, float]:
@@ -165,11 +221,15 @@ def main() -> int:
pid = main_pid()
state = cloud_state()
if pid:
rss, anon_regions, big_regions, anon_total = proc_memory(pid)
mem = proc_memory(pid)
uptime = proc_uptime(pid)
else:
rss = anon_total = 0.0
anon_regions = big_regions = uptime = 0
mem = {
"rss_mb": 0, "anon_regions": 0, "big_anon_regions": 0, "anon_total_mb": 0,
"heap_rss_mb": 0, "anon_rss_mb": 0, "file_rss_mb": 0, "other_rss_mb": 0,
"top_named": "-",
}
uptime = 0
mem_avail, swap_used, swap_free = system_memory()
row = [
@@ -181,13 +241,22 @@ def main() -> int:
mb(cg_value("memory.peak")),
mb(cg_value("memory.swap.current")),
mb(cg_value("memory.swap.peak")),
rss,
anon_regions,
big_regions,
anon_total,
mem["rss_mb"],
mem["anon_regions"],
mem["big_anon_regions"],
mem["anon_total_mb"],
mem_avail,
swap_used,
swap_free,
mb(cg_stat("anon")),
mb(cg_stat("file")),
mb(cg_stat("kernel")),
mb(cg_stat("shmem")),
mem["heap_rss_mb"],
mem["anon_rss_mb"],
mem["file_rss_mb"],
mem["other_rss_mb"],
mem["top_named"],
]
fresh = not LOG.exists() or LOG.stat().st_size == 0
@@ -197,10 +266,11 @@ def main() -> int:
handle.write(",".join(str(value) for value in row) + "\n")
print(
f"{row[0]} state={state} pid={pid} "
f"cg={row[4]}MB peak={row[5]}MB cg_swap={row[6]}MB "
f"rss={rss}MB anon_regions={anon_regions} big={big_regions} anon={anon_total}MB "
f"mem_avail={mem_avail}MB swap_used={swap_used}MB"
f"{row[0]} state={state} pid={pid} cg={row[4]}MB peak={row[5]}MB cg_swap={row[6]}MB "
f"rss={mem['rss_mb']}MB (heap={mem['heap_rss_mb']} anon={mem['anon_rss_mb']} "
f"file={mem['file_rss_mb']} other={mem['other_rss_mb']}) "
f"cg_anon={row[15]}MB cg_file={row[16]}MB regions={mem['anon_regions']} "
f"big={mem['big_anon_regions']} top=[{mem['top_named']}]"
)
return 0