tracemalloc —- 跟踪内存分配
- 示例
  - 显示前10项
  - 计算差异
  - Get the traceback of a memory block
  - Pretty top
- API
  - 函数
  - 域过滤器
  - 过滤器
  - Frame
  - 快照
  - 统计
  - StatisticDiff
  - 跟踪
  - 回溯

tracemalloc —- 跟踪内存分配

3.4 新版功能.

源代码：Lib/tracemalloc.py

The tracemalloc module is a debug tool to trace memory blocks allocated byPython. It provides the following information:

Traceback where an object was allocated
Statistics on allocated memory blocks per filename and per line number:total size, number and average size of allocated memory blocks
Compute the differences between two snapshots to detect memory leaks

To trace most memory blocks allocated by Python, the module should be startedas early as possible by setting the PYTHONTRACEMALLOC environmentvariable to 1, or by using -X tracemalloc command lineoption. The tracemalloc.start() function can be called at runtime tostart tracing Python memory allocations.

By default, a trace of an allocated memory block only stores the most recentframe (1 frame). To store 25 frames at startup: set thePYTHONTRACEMALLOC environment variable to 25, or use the-X tracemalloc=25 command line option.

示例

显示前10项

显示内存分配最多的10个文件：

import tracemalloc
 
tracemalloc.start()
 
# ... run your application ...
 
snapshot = tracemalloc.take_snapshot()
top_stats = snapshot.statistics('lineno')
 
print("[ Top 10 ]")
for stat in top_stats[:10]:
    print(stat)

Python测试套件的输出示例：

[ Top 10 ]
<frozen importlib._bootstrap>:716: size=4855 KiB, count=39328, average=126 B
<frozen importlib._bootstrap>:284: size=521 KiB, count=3199, average=167 B
/usr/lib/python3.4/collections/__init__.py:368: size=244 KiB, count=2315, average=108 B
/usr/lib/python3.4/unittest/case.py:381: size=185 KiB, count=779, average=243 B
/usr/lib/python3.4/unittest/case.py:402: size=154 KiB, count=378, average=416 B
/usr/lib/python3.4/abc.py:133: size=88.7 KiB, count=347, average=262 B
<frozen importlib._bootstrap>:1446: size=70.4 KiB, count=911, average=79 B
<frozen importlib._bootstrap>:1454: size=52.0 KiB, count=25, average=2131 B
<string>:5: size=49.7 KiB, count=148, average=344 B
/usr/lib/python3.4/sysconfig.py:411: size=48.0 KiB, count=1, average=48.0 KiB

We can see that Python loaded 4855 KiB data (bytecode and constants) frommodules and that the collections module allocated 244 KiB to buildnamedtuple types.

See Snapshot.statistics() for more options.

计算差异

获取两个快照并显示差异：

import tracemalloc
tracemalloc.start()
# ... start your application ...
 
snapshot1 = tracemalloc.take_snapshot()
# ... call the function leaking memory ...
snapshot2 = tracemalloc.take_snapshot()
 
top_stats = snapshot2.compare_to(snapshot1, 'lineno')
 
print("[ Top 10 differences ]")
for stat in top_stats[:10]:
    print(stat)

Example of output before/after running some tests of the Python test suite:

[ Top 10 differences ]
<frozen importlib._bootstrap>:716: size=8173 KiB (+4428 KiB), count=71332 (+39369), average=117 B
/usr/lib/python3.4/linecache.py:127: size=940 KiB (+940 KiB), count=8106 (+8106), average=119 B
/usr/lib/python3.4/unittest/case.py:571: size=298 KiB (+298 KiB), count=589 (+589), average=519 B
<frozen importlib._bootstrap>:284: size=1005 KiB (+166 KiB), count=7423 (+1526), average=139 B
/usr/lib/python3.4/mimetypes.py:217: size=112 KiB (+112 KiB), count=1334 (+1334), average=86 B
/usr/lib/python3.4/http/server.py:848: size=96.0 KiB (+96.0 KiB), count=1 (+1), average=96.0 KiB
/usr/lib/python3.4/inspect.py:1465: size=83.5 KiB (+83.5 KiB), count=109 (+109), average=784 B
/usr/lib/python3.4/unittest/mock.py:491: size=77.7 KiB (+77.7 KiB), count=143 (+143), average=557 B
/usr/lib/python3.4/urllib/parse.py:476: size=71.8 KiB (+71.8 KiB), count=969 (+969), average=76 B
/usr/lib/python3.4/contextlib.py:38: size=67.2 KiB (+67.2 KiB), count=126 (+126), average=546 B

We can see that Python has loaded 8173 KiB of module data (bytecode andconstants), and that this is 4428 KiB more than had been loaded before thetests, when the previous snapshot was taken. Similarly, the linecachemodule has cached 940 KiB of Python source code to format tracebacks, allof it since the previous snapshot.

If the system has little free memory, snapshots can be written on disk usingthe Snapshot.dump() method to analyze the snapshot offline. Then use theSnapshot.load() method reload the snapshot.

Get the traceback of a memory block

Code to display the traceback of the biggest memory block:

import tracemalloc
 
# Store 25 frames
tracemalloc.start(25)
 
# ... run your application ...
 
snapshot = tracemalloc.take_snapshot()
top_stats = snapshot.statistics('traceback')
 
# pick the biggest memory block
stat = top_stats[0]
print("%s memory blocks: %.1f KiB" % (stat.count, stat.size / 1024))
for line in stat.traceback.format():
    print(line)

Example of output of the Python test suite (traceback limited to 25 frames):

903 memory blocks: 870.1 KiB
  File "<frozen importlib._bootstrap>", line 716
  File "<frozen importlib._bootstrap>", line 1036
  File "<frozen importlib._bootstrap>", line 934
  File "<frozen importlib._bootstrap>", line 1068
  File "<frozen importlib._bootstrap>", line 619
  File "<frozen importlib._bootstrap>", line 1581
  File "<frozen importlib._bootstrap>", line 1614
  File "/usr/lib/python3.4/doctest.py", line 101
    import pdb
  File "<frozen importlib._bootstrap>", line 284
  File "<frozen importlib._bootstrap>", line 938
  File "<frozen importlib._bootstrap>", line 1068
  File "<frozen importlib._bootstrap>", line 619
  File "<frozen importlib._bootstrap>", line 1581
  File "<frozen importlib._bootstrap>", line 1614
  File "/usr/lib/python3.4/test/support/__init__.py", line 1728
    import doctest
  File "/usr/lib/python3.4/test/test_pickletools.py", line 21
    support.run_doctest(pickletools)
  File "/usr/lib/python3.4/test/regrtest.py", line 1276
    test_runner()
  File "/usr/lib/python3.4/test/regrtest.py", line 976
    display_failure=not verbose)
  File "/usr/lib/python3.4/test/regrtest.py", line 761
    match_tests=ns.match_tests)
  File "/usr/lib/python3.4/test/regrtest.py", line 1563
    main()
  File "/usr/lib/python3.4/test/__main__.py", line 3
    regrtest.main_in_temp_cwd()
  File "/usr/lib/python3.4/runpy.py", line 73
    exec(code, run_globals)
  File "/usr/lib/python3.4/runpy.py", line 160
    "__main__", fname, loader, pkg_name)

We can see that the most memory was allocated in the importlib module toload data (bytecode and constants) from modules: 870.1 KiB. The traceback iswhere the importlib loaded data most recently: on the import pdbline of the doctest module. The traceback may change if a new module isloaded.

Pretty top

Code to display the 10 lines allocating the most memory with a pretty output,ignoring <frozen importlib._bootstrap> and <unknown> files:

import linecache
import os
import tracemalloc
 
def display_top(snapshot, key_type='lineno', limit=10):
    snapshot = snapshot.filter_traces((
        tracemalloc.Filter(False, "<frozen importlib._bootstrap>"),
        tracemalloc.Filter(False, "<unknown>"),
    ))
    top_stats = snapshot.statistics(key_type)
 
    print("Top %s lines" % limit)
    for index, stat in enumerate(top_stats[:limit], 1):
        frame = stat.traceback[0]
        # replace "/path/to/module/file.py" with "module/file.py"
        filename = os.sep.join(frame.filename.split(os.sep)[-2:])
        print("#%s: %s:%s: %.1f KiB"
              % (index, filename, frame.lineno, stat.size / 1024))
        line = linecache.getline(frame.filename, frame.lineno).strip()
        if line:
            print('    %s' % line)
 
    other = top_stats[limit:]
    if other:
        size = sum(stat.size for stat in other)
        print("%s other: %.1f KiB" % (len(other), size / 1024))
    total = sum(stat.size for stat in top_stats)
    print("Total allocated size: %.1f KiB" % (total / 1024))
 
tracemalloc.start()
 
# ... run your application ...
 
snapshot = tracemalloc.take_snapshot()
display_top(snapshot)

Python测试套件的输出示例：

Top 10 lines
#1: Lib/base64.py:414: 419.8 KiB
    _b85chars2 = [(a + b) for a in _b85chars for b in _b85chars]
#2: Lib/base64.py:306: 419.8 KiB
    _a85chars2 = [(a + b) for a in _a85chars for b in _a85chars]
#3: collections/__init__.py:368: 293.6 KiB
    exec(class_definition, namespace)
#4: Lib/abc.py:133: 115.2 KiB
    cls = super().__new__(mcls, name, bases, namespace)
#5: unittest/case.py:574: 103.1 KiB
    testMethod()
#6: Lib/linecache.py:127: 95.4 KiB
    lines = fp.readlines()
#7: urllib/parse.py:476: 71.8 KiB
    for a in _hexdig for b in _hexdig}
#8: <string>:5: 62.0 KiB
#9: Lib/_weakrefset.py:37: 60.0 KiB
    self.data = set()
#10: Lib/base64.py:142: 59.8 KiB
    _b32tab2 = [a + b for a in _b32tab for b in _b32tab]
6220 other: 3602.8 KiB
Total allocated size: 5303.1 KiB

See Snapshot.statistics() for more options.

API

函数

tracemalloc.clear_traces()
Clear traces of memory blocks allocated by Python.

域过滤器

class tracemalloc.DomainFilter(inclusive: bool, domain: int)
Filter traces of memory blocks by their address space (domain).

3.6 新版功能.

inclusive
If inclusive is True (include), match memory blocks allocatedin the address space domain.

If inclusive is False (exclude), match memory blocks not allocatedin the address space domain.

domain
Address space of a memory block (int). Read-only property.

过滤器

class tracemalloc.Filter(inclusive: bool, filename_pattern: str, lineno: int=None, all_frames: bool=False, domain: int=None)
对内存块的跟踪进行筛选。

See the fnmatch.fnmatch() function for the syntax offilename_pattern. The '.pyc' file extension isreplaced with '.py'.

示例：

Filter(True, subprocess.file) only includes traces of thesubprocess module
Filter(False, tracemalloc.file) excludes traces of thetracemalloc module
Filter(False, "<unknown>") excludes empty tracebacks

在 3.5 版更改: The '.pyo' file extension is no longer replaced with '.py'.

在 3.6 版更改: Added the domain attribute.

domain
Address space of a memory block (int or None).

tracemalloc uses the domain 0 to trace memory allocations made byPython. C extensions can use other domains to trace other resources.

inclusive
If inclusive is True (include), only match memory blocks allocatedin a file with a name matching filename_pattern at line numberlineno.

If inclusive is False (exclude), ignore memory blocks allocated ina file with a name matching filename_pattern at line numberlineno.

lineno
Line number (int) of the filter. If lineno is None, the filtermatches any line number.
filename_pattern
Filename pattern of the filter (str). Read-only property.
all_frames
If all_frames is True, all frames of the traceback are checked. Ifall_frames is False, only the most recent frame is checked.

This attribute has no effect if the traceback limit is 1. See theget_traceback_limit() function and Snapshot.traceback_limitattribute.

Frame

class tracemalloc.Frame
Frame of a traceback.

The Traceback class is a sequence of Frame instances.

filename
文件名（字符串）
lineno
行号（整形）

快照

class tracemalloc.Snapshot
Snapshot of traces of memory blocks allocated by Python.

The take_snapshot() function creates a snapshot instance.

compareto(_old_snapshot: Snapshot, key_type: str, cumulative: bool=False)
Compute the differences with an old snapshot. Get statistics as a sortedlist of StatisticDiff instances grouped by key_type.

See the Snapshot.statistics() method for key_type and _cumulative_parameters.

The result is sorted from the biggest to the smallest by: absolute valueof StatisticDiff.size_diff, StatisticDiff.size, absolutevalue of StatisticDiff.count_diff, Statistic.count andthen by StatisticDiff.traceback.

dump(filename)
将快照写入文件

使用 load() 重载快照。

filtertraces(_filters)
Create a new Snapshot instance with a filtered tracessequence, filters is a list of DomainFilter andFilter instances. If filters is an empty list, return a newSnapshot instance with a copy of the traces.

All inclusive filters are applied at once, a trace is ignored if noinclusive filters match it. A trace is ignored if at least one exclusivefilter matches it.

在 3.6 版更改: DomainFilter instances are now also accepted in filters.

classmethod load(filename)
从文件载入快照。

另见 dump().

statistics(key_type: str, cumulative: bool=False)
获取 Statistic 信息列表，按 key_type 分组排序：

key_type

描述

'filename'

文件名

'lineno'

文件名和行号

'traceback'

回溯

If cumulative is True, cumulate size and count of memory blocks ofall frames of the traceback of a trace, not only the most recent frame.The cumulative mode can only be used with key_type equals to'filename' and 'lineno'.

The result is sorted from the biggest to the smallest by:Statistic.size, Statistic.count and then byStatistic.traceback.

traceback_limit
Maximum number of frames stored in the traceback of traces:result of the get_traceback_limit() when the snapshot was taken.
traces
Traces of all memory blocks allocated by Python: sequence ofTrace instances.

The sequence has an undefined order. Use the Snapshot.statistics()method to get a sorted list of statistics.

统计

class tracemalloc.Statistic
统计内存分配

Snapshot.statistics() 返回 Statistic 实例的列表。.

参见 StatisticDiff 类。

count
内存块数（整形）。
size
Total size of memory blocks in bytes (int).
traceback
Traceback where the memory block was allocated, Tracebackinstance.

StatisticDiff

class tracemalloc.StatisticDiff
Statistic difference on memory allocations between an old and a newSnapshot instance.

Snapshot.compare_to() returns a list of StatisticDiffinstances. See also the Statistic class.

count
Number of memory blocks in the new snapshot (int): 0 ifthe memory blocks have been released in the new snapshot.
count_diff
Difference of number of memory blocks between the old and the newsnapshots (int): 0 if the memory blocks have been allocated inthe new snapshot.
size
Total size of memory blocks in bytes in the new snapshot (int):0 if the memory blocks have been released in the new snapshot.
size_diff
Difference of total size of memory blocks in bytes between the old andthe new snapshots (int): 0 if the memory blocks have beenallocated in the new snapshot.
traceback
Traceback where the memory blocks were allocated, Tracebackinstance.

跟踪

class tracemalloc.Trace
Trace of a memory block.

The Snapshot.traces attribute is a sequence of Traceinstances.

在 3.6 版更改: Added the domain attribute.

domain
Address space of a memory block (int). Read-only property.

tracemalloc uses the domain 0 to trace memory allocations made byPython. C extensions can use other domains to trace other resources.

size
Size of the memory block in bytes (int).
traceback
Traceback where the memory block was allocated, Tracebackinstance.

回溯

class tracemalloc.Traceback
Sequence of Frame instances sorted from the oldest frame to themost recent frame.

A traceback contains at least 1 frame. If the tracemalloc modulefailed to get a frame, the filename "<unknown>" at line number 0 isused.

When a snapshot is taken, tracebacks of traces are limited toget_traceback_limit() frames. See the take_snapshot() function.

The Trace.traceback attribute is an instance of Tracebackinstance.

在 3.7 版更改: Frames are now sorted from the oldest to the most recent, instead of most recent to oldest.

format(limit=None, most_recent_first=False)
Format the traceback as a list of lines with newlines. Use thelinecache module to retrieve lines from the source code.If limit is set, format the limit most recent frames if limit_is positive. Otherwise, format the abs(limit) oldest frames.If _most_recent_first is True, the order of the formatted framesis reversed, returning the most recent frame first instead of last.

Similar to the traceback.format_tb() function, except thatformat() does not include newlines.

示例:

print("Traceback (most recent call first):")
for line in traceback:
    print(line)

输出:

Traceback (most recent call first):
  File "test.py", line 9
    obj = Object()
  File "test.py", line 12
    tb = tracemalloc.get_object_traceback(f())