Slides for my Perl Memory Use talk at YAPC::Asia in Tokyo, September 2012.
(This uploaded version includes quite a few slides from the OSCON version that I skipped at YAPC::Asia in order to have more time for a demo.)
4. Scope of the talk...
✦ Not really "profiling"
✦ No VM, page mapping, MMU, TLB, threads etc
✦ Linux focus
✦ Almost no copy-on-write
✦ No cats
4
5. Goals
✦ Understand Process Memory
✦ Identify key issues
✦ Show useful tools
✦ Demonstrate new software
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6. Ouch!
$ perl some_script.pl
Out of memory!
$
$ perl some_script.pl
Killed.
$
$ perl some_script.pl
$
Someone shouts: "Hey! My process has been killed!"
$ perl some_script.pl
[...later...] "Umm, what's taking so long?"
6
Have you experienced one of these?
8. C Program Code int main(...) { ... }
Read-only Data eg “String constants”
Read-write Data un/initialized variables
Heap
(not to scale!)
Shared Lib Code
Shared Lib R/O Data repeated for each lib
Shared Lib R/W Data //
C Stack (not the perl stack)
System
8
Segments
9. $ perl -e 'system("cat /proc/$$/stat")' # $$ = pid
4752 (perl) S 4686 4752 4686 34816 4752 4202496 536 0 0 0 0 0 0 0 20 0 1 0 62673440 123121664
440 18446744073709551615 4194304 4198212 140735314078128 140735314077056 140645336670206 0 0
134 0 18446744071579305831 0 0 17 10 0 0 0 0 0 0 0 0 0 0 4752 111 111 111
$ perl -e 'system("cat /proc/$$/statm")'
30059 441 346 1 0 160 0
$ perl -e 'system("ps -p $$ -o vsz,rsz,sz,size")'
VSZ RSZ SZ SZ
120236 1764 30059 640
$ perl -e 'system("top -b -n1 -p $$")'
...
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
13063 tim 20 0 117m 1764 1384 S 0.0 0.1 0:00.00 perl
$ perl -e 'system("cat /proc/$$/status")'
...
VmPeak:! 120236 kB
VmSize:! 120236 kB <- total (code, libs, stack, heap etc.)
VmHWM:! 1760 kB
VmRSS:! 1760 kB <- how much of the total is resident in physical memory
VmData:! 548 kB <- data (heap)
VmStk:! 92 kB <- stack
VmExe:! 4 kB <- code
VmLib:! 4220 kB <- libs, including libperl.so
VmPTE:! 84 kB
VmPTD:! 28 kB
VmSwap:! 0 kB
... Further info on unix.stackexchange.com
9
How to find memory usage (on Linux)
Only top and /proc/$$/status are user friendly.
13. Memory Pages
✦ Process view:
✦ Single large memory space. Simple.
✦ Operating System view:
✦ Memory is divided into pages
✦ Pages are loaded to physical memory on demand
✦ Mapping can change without the process knowing
13
14. C Program Code
Read-only Data Memory is divided into pages
Page size is typically 4KB
Read-write Data
Heap
← Page ‘resident’ in physical
memory
← Page not resident
RSS “Resident Set Size”
is how much process memory is
Shared Lib Code currently in physical memory
Shared Lib R/O Data
Shared Lib R/W Data
C Stack
System
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Pages are: loaded when first used
may be ‘paged out’ when the system needs the physical memory
may be shared with other processes
may be copy-on-write, where are shared page becomes private when first written to
15. Key Point
✦ Don’t use Resident Set Size (RSS)
✦ It can shrink even while the process size grows.
✦ Heap size or Total memory size is a good indicator.
15
Be careful to understand what you’re actually
measuring.
17. Low-Level Modules
✦ BSD::Resource - getrusage() system call (limited on Linux)
✦ BSD::Process - Only works on BSD, not Linux
✦ Proc::ProcessTable - Interesting but buggy
✦ Linux::Smaps - very detailed, but only works on Linux
✦ GTop - Perl interface to libgtop, better but external dependency
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18. Higher-Level Modules
✦ Memory::Usage
✦ Reads /proc/$pid/statm. Reports changes on demand.
✦ Dash::Leak
✦ Uses BSD::Process. Reports changes on demand.
✦ Devel::MemoryTrace::Light
✦ Uses GTop or BSD::Process. Automatically prints a message when
memory use grows, pointing to a particular line number.
✦ Defaults to tracking Resident Set Size!
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19. Other Modules
✦ Devel::Plumber - memory leak finder for C programs
✦ Uses GDB to walk internal glibc heap structures. Can work on either a live
process or a core file. Treats the C heap of the program under test as a
collection of non-overlapping blocks, and classifies them into one of four states.
✦ Devel::Memalyzer - Base framework for analyzing program memory usage
✦ Runs and monitors a subprocess via plugins that read /proc smaps and status at
regular intervals.
✦ Memchmark - Check memory consumption
✦ Memchmark forks a new process to run the sub and then monitors its memory
usage every 100ms (approx.) recording the maximum amount used.
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21. Heap ← Your perl stuff goes here
• Heap is managed by malloc()
• Memory freed is rarely returned
to the operating system
• Heap grows but rarely shrinks
21
Perl uses malloc() and free() to manage the Heap memory
malloc has its own issues (overheads, bucket sizes, fragmentation etc. etc.)
On top of malloc, perl has it’s own layer of memory management (e.g. arenas) for some data types
23. Anatomy - 解剖学
Integer
(IV)
String
(PV)
Number
with a
string
Head Body Data Illustrations from illguts
23
Don’t need to know the detail.
Just undrstand that perl data is stored in lots of separate parts with pointers between them.
24. Array
(IV)
Hash
(HV)
24
Don’t need to know the detail.
Just understand that perl data is stored in lots of separate parts with pointers between them.
25. Glob (GV) Symbol Table (Stash)
Sub (CV)
lots of tiny chunks!
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Don’t need to know the detail.
Just understand that perl data is stored in lots of separate parts with pointers between them.
26. Notes
✦ Heads and Bodies are allocated from ‘arenas’ managed by perl
✦ All variable length data storage comes from malloc
✦ Memory “cost” will be higher than the sum of the sizes.
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Arenas are efficient, with low overhead and no fragmentation.
But arena space for a given data type is never freed or used for anything else.
Malloc has higher overheads.
27. Arenas
$ perl -MDevel::Gladiator=arena_table -e 'warn arena_table()'
ARENA COUNTS:
1063 SCALAR
199 GLOB
120 ARRAY
95 CODE
66 HASH
8 REGEXP
5 REF
4 IO::File
...
arena_table()formats the hash return by arena_ref_counts() which
summarizes the list of all SVs returned by walk_arenas().
See also Devel::Arena
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28. Devel::Peek
• Gives you a textual view of data
$ perl -MDevel::Peek -e '%a = (42 => "Hello World!"); Dump(%a)'
SV = IV(0x1332fd0) at 0x1332fe0
REFCNT = 1
FLAGS = (TEMP,ROK)
RV = 0x1346730
SV = PVHV(0x1339090) at 0x1346730
REFCNT = 2
FLAGS = (SHAREKEYS)
ARRAY = 0x1378750 (0:7, 1:1)
KEYS = 1
FILL = 1
MAX = 7
Elt "42" HASH = 0x73caace8
SV = PV(0x1331090) at 0x1332de8
REFCNT = 1
FLAGS = (POK,pPOK)
PV = 0x133f960 "Hello World!"0
CUR = 12 <= length in use
LEN = 16 <= amount allocated
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29. Devel::Size
• Gives you a measure of the size of a data structure
$ perl -MDevel::Size=total_size -le 'print total_size( 0 )'
24
$ perl -MDevel::Size=total_size -le 'print total_size( [] )'
64
$ perl -MDevel::Size=total_size -le 'print total_size( {} )'
120
$ perl -MDevel::Size=total_size -le 'print total_size( [ 1..100 ] )'
3264
• Is very fast, and accurate for most simple data types.
• Has limitations and bugs, but is the best tool we have.
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Makes somewhat arbitrary decisions about what to include for non-data types
Doesn't or can't accurately measure subs, forms, regexes, and IOs.
Can't measure 'everything' (total_size(%main::) is the best v0.77 can do)
30. Devel::Size 0.77
perl -MDevel::Size=total_size -we '
sub foo { my $var = "#" x 2**20; foo($_[0]-1) if $_[0]; 1 }
system("grep VmData /proc/$$/status");
printf "%d kBn", total_size(&foo)/1024;
foo(50);
system("grep VmData /proc/$$/status");
printf "%d kBn", total_size(&foo)/1024;
'
VmData:! 796 kB
7 kB
VmData:! 105652 kB
8 kB
• VmData grew by ~100MB, we expected ~50MB, extra copy of value.
• Devel::Size 0.77 doesn't measure what's in sub pads (lexicals).
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31. Devel::Size 0.77 + hacks
perl -MDevel::Size=total_size -we '
sub foo { my $var = "#" x 2**20; foo($_[0]-1) if $_[0];1 }
system("grep VmData /proc/$$/status");
printf "%d kBn", total_size(&foo)/1024;
foo(50);
system("grep VmData /proc/$$/status");
printf "%d kBn", total_size(&foo)/1024;
'
VmData:! 796 kB
293 kB
VmData:! 105656 kB
104759 kB
• Now does include the pad variables.
• But note the 293 kB initial value - it's measuring too much. Work in progress.
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32. Devel::Size 0.77 + hacks
$ report='printf "total_size %6d kBn", total_size(%main::)/1024;
system("grep VmData /proc/$$/status")'
$ perl -MDevel::Size=total_size -we “$report”
total_size 290 kB
VmData: 800 kB
$ perl -MMoose -MDevel::Size=total_size -we “$report”
total_size 9474 kB! [ 9474-290 = + 9184 kB ]
VmData: 11824 kB! [ 11824-800 = +11024 kB ]
What accounts for the 1840 kB difference in the increases?
-Arenas and other perl-internals aren't included
-Limitations of Devel::Size measuring subs and regexs
-Malloc heap buckets and fragmentation
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35. malloc manages memory allocation
Heap
perl data
Requests big chunks of
memory from the operating
system as needed.
Almost never returns it!
Perl makes lots of alloc
and free requests.
Freed fragments of various
sizes accumulate.
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36. $ man malloc
✦ "When allocating blocks of memory larger than MMAP_THRESHOLD
bytes, the glibc malloc() implementation allocates the memory as a private
anonymous mapping using mmap(2). MMAP_THRESHOLD is 128 kB
by default, but is adjustable using mallopt(3)."
✦ That's for RHEL/CentOS 6. Your mileage may vary.
✦ Space vs speed trade-off: mmap() and munmap() probably slower.
✦ Other malloc implementations can be used via LD_PRELOAD env var.
✦ e.g. export LD_PRELOAD="/usr/lib/libtcmalloc.so"
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37. PERL_DEBUG_MSTATS*
* Requires a perl configured to use it's own malloc (-Dusemymalloc)
$ PERL_DEBUG_MSTATS=1 perl -MMoose -MDevel::Size=total_size -we "$report"
total_size 9474 kB! [ 9474-290 = + 9184 kB ]
VmData: 11824 kB! [ 11824-800 = +11024 kB ]
Memory allocation statistics after execution: (buckets 8(8)..69624(65536)
429248 free: 225 125 69 25 18 1 3 6 0 6 1 23 0 0
! 0 9 26 10
6302120 used: 795 14226 2955 3230 2190 1759 425 112 30 862 11 2 1 2
! 0 1606 8920 4865
Total sbrk(): 6803456/1487:-13. Odd ends: pad+heads+chain+tail: 2048+70040+0+0
• There's 419 kB ("429248 free") is sitting in unused malloc buckets.
• See perldebguts and Devel::Peek docs for details. Also Devel::Mallinfo.
• Note Devel::Size total_size() says 9474 kB but malloc says only 6154 kb allocated!
37
by pgfs
38. Key Notes
✦ Perl uses malloc to manage heap memory
✦ Malloc uses sized buckets and free lists etc.
✦ Malloc has overheads
✦ Freed chunks of various sizes accumulate
✦ Large allocations may use mmap()/munmap()
✦ Your malloc maybe tunable
✦ Try different malloc implementations
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39. Alternative Malloc
✦ perl -V:usemymalloc
✦ system vs internal vs jemalloc vs others
✦ show jemalloc and tcmalloc
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41. What?
✦ Track memory size over time?
✦ See where memory is allocated and freed?
✦ Experiments with Devel::NYTProf
✦ Turned out to not seem useful
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42. Space in Hiding
✦ Perl tends to consume extra memory to save time
✦ This can lead to surprises, for example:
✦ sub foo {
my $var = "X" x 10_000_000;
}
foo(); # ~20MB still used after return!
✦ sub bar{
my $var = "X" x 10_000_000;
bar($_[0]-1) if $_[0]; # recurse
}
bar(50); # ~1GB still used after return!
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44. The Plan
✦ Extend Devel::Size
✦ Add a C-level callback hook
✦ Add some kind of "data path name" for the callback to use
✦ Add a function to Devel::Size to return the size of everything
✦ Stream the data to disk
✦ Write tools to visualize the data
✦ Add multi-phase scan
1. scan symbol tables, skip where ref count > 1
2. process the skipped items
3. scan arenas for other values (e.g. leaks)
✦ Write tool to compare two sets of data
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perl_size() - try to get as close to VmData value as possible.
45. The Status
✓ Add a C-level callback hook
✓ Add some kind of "data path name" for the callback to use
✓ Add a function to Devel::Size to return the size of everything.
✓ Stream the data to disk
✓ Write tools to visualize the data
• Will become a separate distribution
• “Devel::SizeMeGraph”?
• Source repo available by Sunday
• Ready to demonstrate
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