5

我正在开发一个小型 Django 系统，它使用大约 14,000 条记录。我以前没有使用过聚合特性，所以想在 shell 中使用它们。当我这样做时 from core.models import Match，from django.db.models import Avg我得到一个分段错误。背景阅读表明这是一个记忆问题；我已经尝试关闭所有可能的东西并清理未使用的内存，所以我正在运行大约 4Gb 的空闲空间。

我可以按任意顺序导入任一命令（因此匹配，数据集可以先导入或第二导入，没关系） - 只有当我尝试导入另一个模块或对其进行操作时，我才会收到错误。例子：

>>> from core.models import Match
>>> t = match.objects.filter(team_name="Coventry")
Segmentation fault: 11

或者

>>> from django.db.models import Avg
>>> from core.models import Match
Segmentation fault: 11

同样，以差异顺序运行直到第二个命令：

>>> from core.models import Match
>>> from django.db.models import Avg
Segmentation fault: 11

如果相关，我只是在本地主机上的 SQLite3 上运行 Django 开发服务器。我从背景阅读中了解到，这可能是一些意外加载到内存中的结果，但不知道从哪里开始尝试排除故障 - 我没有在这里运行任何代码，只是在 shell 中使用 Django ORM。

编辑：我已经对此进行了进一步测试；我在许多不同的进口产品上得到了很多。 

>>> from bisect import *
>>> from datetime import date

控制台日志崩溃报告如下所示：

Process:         Python [28541]
Path:            /Library/Frameworks/Python.framework/Versions/2.7/Resources/Python.app/Contents/MacOS/Python
Identifier:      Python
Version:         2.7.5 (2.7.5)
Code Type:       X86-64 (Native)
Parent Process:  bash [28528]
Responsible:     Terminal [2961]
User ID:         501

Date/Time:       2013-11-02 16:24:56.399 +0000
OS Version:      Mac OS X 10.9 (13A603)
Report Version:  11
Anonymous UUID:  DACFC213-DBA4-860A-C887-96B155D16223

Sleep/Wake UUID: 0FCC648C-E20C-41CF-AB70-019F755C62CA

Crashed Thread:  0  Dispatch queue: com.apple.main-thread

Exception Type:  EXC_BAD_ACCESS (SIGSEGV)
Exception Codes: KERN_INVALID_ADDRESS at 0x0000000000000000

VM Regions Near 0:
--> 
    __TEXT                 0000000100000000-0000000100001000 [    4K] r-x/rwx SM=COW  /Library/Frameworks/Python.framework/Versions/2.7/Resources/Python.app/Contents/MacOS/Python

Thread 0 Crashed:: Dispatch queue: com.apple.main-thread
0   readline.so                     0x00000001025ebf97 call_readline + 647
1   org.python.python               0x0000000100008e22 PyOS_Readline + 274
2   org.python.python               0x00000001000b8315 builtin_raw_input + 597
3   org.python.python               0x00000001000c35fd PyEval_EvalFrameEx + 25213
4   org.python.python               0x00000001000c58c9 PyEval_EvalCodeEx + 2137
5   org.python.python               0x00000001000c31bd PyEval_EvalFrameEx + 24125
6   org.python.python               0x00000001000c58c9 PyEval_EvalCodeEx + 2137
7   org.python.python               0x00000001000c31bd PyEval_EvalFrameEx + 24125
8   org.python.python               0x00000001000c58c9 PyEval_EvalCodeEx + 2137
9   org.python.python               0x00000001000c31bd PyEval_EvalFrameEx + 24125
10  org.python.python               0x00000001000c58c9 PyEval_EvalCodeEx + 2137
11  org.python.python               0x000000010003e510 function_call + 176
12  org.python.python               0x000000010000c932 PyObject_Call + 98
13  org.python.python               0x00000001000be63d PyEval_EvalFrameEx + 4797
14  org.python.python               0x00000001000c58c9 PyEval_EvalCodeEx + 2137
15  org.python.python               0x000000010003e510 function_call + 176
16  org.python.python               0x000000010000c932 PyObject_Call + 98
17  org.python.python               0x00000001000be63d PyEval_EvalFrameEx + 4797
18  org.python.python               0x00000001000c58c9 PyEval_EvalCodeEx + 2137
19  org.python.python               0x000000010003e510 function_call + 176
20  org.python.python               0x000000010000c932 PyObject_Call + 98
21  org.python.python               0x00000001000be63d PyEval_EvalFrameEx + 4797
22  org.python.python               0x00000001000c3fed PyEval_EvalFrameEx + 27757
23  org.python.python               0x00000001000c3fed PyEval_EvalFrameEx + 27757
24  org.python.python               0x00000001000c58c9 PyEval_EvalCodeEx + 2137
25  org.python.python               0x00000001000c31bd PyEval_EvalFrameEx + 24125
26  org.python.python               0x00000001000c58c9 PyEval_EvalCodeEx + 2137
27  org.python.python               0x00000001000c59e6 PyEval_EvalCode + 54
28  org.python.python               0x00000001000ea28e PyRun_FileExFlags + 174
29  org.python.python               0x00000001000ea52a PyRun_SimpleFileExFlags + 458
30  org.python.python               0x00000001001014ed Py_Main + 3101
31  org.python.python               0x0000000100000f14 0x100000000 + 3860

Thread 0 crashed with X86 Thread State (64-bit):
  rax: 0x0000000000000000  rbx: 0x000000010074ca40  rcx: 0x0000000100700000  rdx: 0x0000000000001e00
  rdi: 0x0000000000000000  rsi: 0x00000001025ec254  rbp: 0x00007fff5fbfd720  rsp: 0x00007fff5fbfd650
   r8: 0x0000000100700000   r9: 0x000000000000058a  r10: 0x0001000040080003  r11: 0x0000000000000001
  r12: 0x0000000000000001  r13: 0x000000000000001c  r14: 0x00007fff5fbfd6e0  r15: 0x00007fff5fbfd660
  rip: 0x00000001025ebf97  rfl: 0x0000000000010206  cr2: 0x0000000000000000

Logical CPU:     3
Error Code:      0x00000004
Trap Number:     14


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    0x7fff920a5000 -     0x7fff920d5fff  libncurses.5.4.dylib (42) <BF763D62-9149-37CB-B1D2-F66A2510E6DD> /usr/lib/libncurses.5.4.dylib
    0x7fff923d7000 -     0x7fff923f2ff7  libsystem_malloc.dylib (23.1.10) <FFE5C472-B23A-318A-85BF-77CDE61900D1> /usr/lib/system/libsystem_malloc.dylib
    0x7fff93322000 -     0x7fff9333eff7  libsystem_kernel.dylib (2422.1.72) <D14913DB-47F1-3591-8DAF-D4B4EF5F8818> /usr/lib/system/libsystem_kernel.dylib
    0x7fff941e6000 -     0x7fff941e7ff7  libSystem.B.dylib (1197.1.1) <BFC0DC97-46C6-3BE0-9983-54A98734897A> /usr/lib/libSystem.B.dylib
    0x7fff94239000 -     0x7fff94287fff  libcorecrypto.dylib (161.1) <F3973C28-14B6-3006-BB2B-00DD7F09ABC7> /usr/lib/system/libcorecrypto.dylib
    0x7fff94588000 -     0x7fff945bcfff  libssl.0.9.8.dylib (50) <B15F967C-B002-36C2-9621-3456D8509F50> /usr/lib/libssl.0.9.8.dylib

External Modification Summary:
  Calls made by other processes targeting this process:
    task_for_pid: 0
    thread_create: 0
    thread_set_state: 0
  Calls made by this process:
    task_for_pid: 0
    thread_create: 0
    thread_set_state: 0
  Calls made by all processes on this machine:
    task_for_pid: 991820
    thread_create: 1
    thread_set_state: 0

VM Region Summary:
ReadOnly portion of Libraries: Total=80.5M resident=22.0M(27%) swapped_out_or_unallocated=58.5M(73%)
Writable regions: Total=61.0M written=15.9M(26%) resident=22.2M(36%) swapped_out=0K(0%) unallocated=38.8M(64%)

REGION TYPE                      VIRTUAL
===========                      =======
Kernel Alloc Once                     4K
MALLOC                             52.5M
MALLOC (admin)                       16K
STACK GUARD                        56.0M
Stack                              8192K
VM_ALLOCATE                          12K
__DATA                             2024K
__LINKEDIT                         66.4M
__TEXT                             14.1M
__UNICODE                           544K
shared memory                         4K
===========                      =======
TOTAL                             199.6M

进一步编辑： 这似乎有一个已知的错误。 我大约 4 天前安装了 Mavericks，从那时起就出现了；如果没有人告诉我，我怀疑我可以使用 Q 的解决方案来抑制问题。

4

3 回答 3

5

您正在运行 OS X 10.9 Mavericks 吗？如果是这样，请参阅此错误报告。错误报告附有一个 shell 脚本，您可以运行该脚本来绕过该问题。有关说明，请参阅此处的 Ned Deily 的消息。

于 2013-11-02T16:46:24.090 回答
3

分段错误是进程中的访问冲突。这基本上意味着该程序试图访问一个不属于它自己的内存地址并且已被操作系统杀死。Python 根本不允许用户使用内存进行调整，因此这不能以任何方式成为您的代码。

考虑到导入时似乎发生了很多事情，Match我猜模块中的错误会导致错误的内存访问，或者您的软件依赖项不兼容。尝试更新到最新版本的模块和相关包，并尝试用谷歌搜索这个问题。如果您正在运行最新版本的模块，您应该向开发人员开一张票，并附上core操作系统在进程崩溃时创建的文件

于 2013-11-02T15:49:34.507 回答
1

Tim Peters 提供并提到了下载补丁以修补错误。以下链接http://bugs.python.org/issue18458#msg201507将带您直接进入注释，其中包含与 Mavericks 兼容的 2.7 和 3.3 下载链接。

仅发布，因为这是您需要的解决方案的更直接途径。

于 2014-01-16T01:49:40.730 回答