使用FreeTDS ODBC和pyodbc时，glibc检测到损坏的双链表

时间：2017-04-25 03:33:49

标签： python odbc glibc pyodbc freetds

我们在生产环境中运行pyodbc 4.0.1，我们突然开始遇到内存错误。我不确定为什么它开始发生，因为在那之前一切正常......在服务器配置方面是否有任何已知的根本原因？

我们已在DEV和UAT中将我们的Pyodbc版本从4.0.1升级到4.0.16。不幸的是，这个问题仍然存在并且可以重复（见下面的跟踪）。

[...]
*** glibc detected *** python: corrupted double-linked list: 0x0000000002644650 ***
======= Backtrace: =========
/lib64/libc.so.6(+0x75f4e)[0x7f751c639f4e]
/lib64/libc.so.6(+0x79066)[0x7f751c63d066]
/usr/lib64/libtdsodbc.so.0(+0x1e2fd)[0x7f74fd2aa2fd]
/usr/lib64/libtdsodbc.so.0(+0x2095e)[0x7f74fd2ac95e]
/usr/lib64/libtdsodbc.so.0(+0x27de5)[0x7f74fd2b3de5]
/usr/lib64/libtdsodbc.so.0(+0x3729f)[0x7f74fd2c329f]
/usr/lib64/libtdsodbc.so.0(+0x11e15)[0x7f74fd29de15]
/usr/lib64/libtdsodbc.so.0(SQLGetTypeInfo+0x187)[0x7f74fd2a0547]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/lib/libodbc.so.2(SQLGetTypeInfo+0x1e3)[0x7f75033c8c93]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/lib/python3.5/site-packages/pyodbc.cpython-35m-x86_64-linux-gnu.so(_Z17GetConnectionInfoP7_objectP10Connection+0x42f)[0x7f75036297af]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/lib/python3.5/site-packages/pyodbc.cpython-35m-x86_64-linux-gnu.so(_Z14Connection_NewP7_objectbblbS0_R6Object+0x6a9)[0x7f7503621249]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/lib/python3.5/site-packages/pyodbc.cpython-35m-x86_64-linux-gnu.so(+0xb174)[0x7f7503622174]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(PyCFunction_Call+0x131)[0x7f751d4c4621]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(PyEval_EvalFrameEx+0x9017)[0x7f751d54bc37]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(PyEval_EvalFrameEx+0x9546)[0x7f751d54c166]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(PyEval_EvalFrameEx+0x9546)[0x7f751d54c166]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(PyEval_EvalFrameEx+0x9546)[0x7f751d54c166]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(+0x144b49)[0x7f751d54cb49]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(PyEval_EvalCodeEx+0x48)[0x7f751d54ccd8]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(PyEval_EvalCode+0x3b)[0x7f751d54cd1b]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(PyRun_FileExFlags+0x130)[0x7f751d572020]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(PyRun_SimpleFileExFlags+0x173)[0x7f751d573623]
/opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/../lib/libpython3.5m.so.1.0(Py_Main+0xca7)[0x7f751d58e8c7]
python(main+0x15d)[0x400add]
/lib64/libc.so.6(__libc_start_main+0xfd)[0x7f751c5e2d5d]
python[0x4008b9]
======= Memory map: ========
00400000-00401000 r-xp 00000000 fd:05 11011012                           /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/python3.5
00601000-00602000 rw-p 00001000 fd:05 11011012                           /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/envs/ed/bin/python3.5
01241000-02873000 rw-p 00000000 00:00 0                                  [heap]
7f74f8000000-7f74f8021000 rw-p 00000000 00:00 0
7f74f8021000-7f74fc000000 ---p 00000000 00:00 0
7f74fc354000-7f74fc356000 r-xp 00000000 fd:01 3837                       /usr/lib64/gconv/CP1252.so
7f74fc356000-7f74fc555000 ---p 00002000 fd:01 3837                       /usr/lib64/gconv/CP1252.so
7f74fc555000-7f74fc556000 r--p 00001000 fd:01 3837                       /usr/lib64/gconv/CP1252.so
7f74fc556000-7f74fc557000 rw-p 00002000 fd:01 3837                       /usr/lib64/gconv/CP1252.so
7f74fc557000-7f74fc558000 r-xp 00000000 fd:01 4029                       /usr/lib64/gconv/ISO8859-1.so
7f74fc558000-7f74fc758000 ---p 00001000 fd:01 4029                       /usr/lib64/gconv/ISO8859-1.so
7f74fc758000-7f74fc759000 r--p 00001000 fd:01 4029                       /usr/lib64/gconv/ISO8859-1.so
7f74fc759000-7f74fc75a000 rw-p 00002000 fd:01 4029                       /usr/lib64/gconv/ISO8859-1.so
7f74fc75a000-7f74fc75f000 r-xp 00000000 fd:01 3803                       /lib64/libnss_dns-2.12.so
7f74fc75f000-7f74fc95e000 ---p 00005000 fd:01 3803                       /lib64/libnss_dns-2.12.so
7f74fc95e000-7f74fc95f000 r--p 00004000 fd:01 3803                       /lib64/libnss_dns-2.12.so
7f74fc95f000-7f74fc960000 rw-p 00005000 fd:01 3803                       /lib64/libnss_dns-2.12.so
7f74fc960000-7f74fc963000 r-xp 00000000 fd:01 5388                       /lib64/libgpg-error.so.0.5.0
7f74fc963000-7f74fcb62000 ---p 00003000 fd:01 5388                       /lib64/libgpg-error.so.0.5.0
7f74fcb62000-7f74fcb63000 r--p 00002000 fd:01 5388                       /lib64/libgpg-error.so.0.5.0
7f74fcb63000-7f74fcb64000 rw-p 00003000 fd:01 5388                       /lib64/libgpg-error.so.0.5.0
7f74fcb64000-7f74fcb74000 r-xp 00000000 fd:01 6697                       /usr/lib64/libtasn1.so.3.1.6
7f74fcb74000-7f74fcd73000 ---p 00010000 fd:01 6697                       /usr/lib64/libtasn1.so.3.1.6
7f74fcd73000-7f74fcd74000 rw-p 0000f000 fd:01 6697                       /usr/lib64/libtasn1.so.3.1.6
7f74fcd74000-7f74fcde6000 r-xp 00000000 fd:01 5401                       /lib64/libgcrypt.so.11.5.3
7f74fcde6000-7f74fcfe5000 ---p 00072000 fd:01 5401                       /lib64/libgcrypt.so.11.5.3
7f74fcfe5000-7f74fcfe6000 r--p 00071000 fd:01 5401                       /lib64/libgcrypt.so.11.5.3
7f74fcfe6000-7f74fcfe9000 rw-p 00072000 fd:01 5401                       /lib64/libgcrypt.so.11.5.3
7f74fcfe9000-7f74fd086000 r-xp 00000000 fd:01 13301                      /usr/lib64/libgnutls.so.26.14.12
7f74fd086000-7f74fd285000 ---p 0009d000 fd:01 13301                      /usr/lib64/libgnutls.so.26.14.12
7f74fd285000-7f74fd28c000 rw-p 0009c000 fd:01 13301                      /usr/lib64/libgnutls.so.26.14.12
7f74fd28c000-7f74fd2ee000 r-xp 00000000 fd:01 52715                      /usr/lib64/libtdsodbc.so.0.0.0
7f74fd2ee000-7f74fd4ed000 ---p 00062000 fd:01 52715                      /usr/lib64/libtdsodbc.so.0.0.0
7f74fd4ed000-7f74fd4f1000 rw-p 00061000 fd:01 52715                      /usr/lib64/libtdsodbc.so.0.0.0
7f74fd4f1000-7f74fd4f5000 r-xp 00000000 fd:05 7997029                    /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/python-3.5.2-0/lib/python3.5/lib-dynload/termios.so
7f74fd4f5000-7f74fd6f5000 ---p 00004000 fd:05 7997029                    /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/python-3.5.2-0/lib/python3.5/lib-dynload/termios.so
7f74fd6f5000-7f74fd6f7000 rw-p 00004000 fd:05 7997029                    /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/python-3.5.2-0/lib/python3.5/lib-dynload/termios.so
7f74fd6f7000-7f74fd6fa000 r-xp 00000000 fd:05 7997070                    /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/python-3.5.2-0/lib/python3.5/lib-dynload/fcntl.so
7f74fd6fa000-7f74fd8f9000 ---p 00003000 fd:05 7997070                    /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/python-3.5.2-0/lib/python3.5/lib-dynload/fcntl.so
7f74fd8f9000-7f74fd8fb000 rw-p 00002000 fd:05 7997070                    /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/python-3.5.2-0/lib/python3.5/lib-dynload/fcntl.so
7f74fd8fb000-7f74fd8fe000 r-xp 00000000 fd:05 10749483                   /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/sqlalchemy-1.0.13-py35_0/lib/python3.5/site-packages/sqlalchemy/cresultproxy.so
7f74fd8fe000-7f74fdafe000 ---p 00003000 fd:05 10749483                   /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/sqlalchemy-1.0.13-py35_0/lib/python3.5/site-packages/sqlalchemy/cresultproxy.so
7f74fdafe000-7f74fdaff000 rw-p 00003000 fd:05 10749483                   /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/sqlalchemy-1.0.13-py35_0/lib/python3.5/site-packages/sqlalchemy/cresultproxy.so
7f74fdaff000-7f74fdb00000 r-xp 00000000 fd:05 10749167                   /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/sqlalchemy-1.0.13-py35_0/lib/python3.5/site-packages/sqlalchemy/cutils.so
7f74fdb00000-7f74fdd00000 ---p 00001000 fd:05 10749167                   /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/sqlalchemy-1.0.13-py35_0/lib/python3.5/site-packages/sqlalchemy/cutils.so
7f74fdd00000-7f74fdd01000 rw-p 00001000 fd:05 10749167                   /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/sqlalchemy-1.0.13-py35_0/lib/python3.5/site-packages/sqlalchemy/cutils.so
7f74fdd01000-7f74fdd41000 rw-p 00000000 00:00 0
7f74fdec1000-7f74fdf01000 rw-p 00000000 00:00 0
7f74fdf41000-7f74fdf44000 r-xp 00000000 fd:05 10749471                   /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/sqlalchemy-1.0.13-py35_0/lib/python3.5/site-packages/sqlalchemy/cprocessors.so
7f74fdf44000-7f74fe143000 ---p 00003000 fd:05 10749471                   /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/sqlalchemy-1.0.13-py35_0/lib/python3.5/site-packages/sqlalchemy/cprocessors.so
7f74fe143000-7f74fe144000 rw-p 00002000 fd:05 10749471                   /opt/cloudera/parcels/Anaconda3-4.2.0-python-3.5/pkgs/sqlalchemy-1.0.13-py35_0/lib/python3.5/site-packages/sqlalchemy/cprocessors.soAborted

在我们的目的上做了一些更多的测试后，似乎连接到Microsoft SQL Server数据库时出现问题。我们将dsn-less与以下连接字符串连接起来。话虽如此，我不确定何时发生内存问题（连接之前/期间/之后）......这个问题似乎或多或少是随机触发的。

[...]
pyodbc.pooling=False
oConnexion = pyodbc.connect(Driver="{FreeTDS};Server=xxx;Port=1433;TDS_Version=7.0;UID=xxx;PWD=xxx;", autocommit=True)
oConnexion.setdecoding(pyodbc.SQL_CHAR, encoding='utf-8')
oConnexion.setdecoding(pyodbc.SQL_WCHAR, encoding='utf-8')
oConnexion.setdecoding(pyodbc.SQL_WMETADATA, encoding='utf-8')
oConnexion.setencoding(encoding='utf-8')
[...]

配置：
  - Python 3.5.2
  - Anaconda 4.2.0（64位）
  - Linux上的Red Hat 4.4.7-1   - Pyodbc 4.0.16

2 个答案:

答案 0 :(得分：2)

ODBC驱动程序的先前配置是FreeTDS v0.91。 将ODBC驱动程序升级到FreeTDS 1.0rc5解决了这个问题。

答案 1 :(得分：0)

  

我不确定为什么它开始发生，因为一切都工作正常直到那时......

一切都运转良好，直到你改变了一些东西。你需要知道你改变了什么，然后改回来。

  

在服务器配置方面是否有任何已知的根本原因？

服务器配置问题 nothing 。问题是你加载到你的python中的东西是错误的，并导致堆损坏。

您可以通过在Valgrind下运行python来找出堆损坏发生的位置。

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