Aerospike Python客户端中的分段故障

我正在使用Aerospike Python CLient来放置和获取一些键值对：

aerospike_dca_client.put(key,bin)
...
...
bls_key_a = (AEROSPIKE_NAMESPACE,SET_NAME,bls_key)
hp_bid_str_a = aerospike_dca_client.get(bls_key_a)[3];
#Terminates at the line above

但是，在put之后，我的程序在Get命令期间以SEGFAULT终止。以下是我从GDB:得到的堆叠图

Program received signal SIGSEGV, Segmentation fault.
as_shm_node_get (cluster=0x353bd90508, ns=0x7fffffffc851 "test", digest=0x7fffffffc8e1 "/231!221h22324021KX377357O346u214q356267#177", write=false, replica=AS_POLICY_REPLICA_MASTER)
    at src/main/aerospike/as_shm_cluster.c:431
    431 src/main/aerospike/as_shm_cluster.c: No such file or directory.
        in src/main/aerospike/as_shm_cluster.c
        Missing separate debuginfos, use: debuginfo-install blas-3.2.1-4.el6.x86_64
        (gdb) bt
#0  as_shm_node_get (cluster=0x353bd90508, ns=0x7fffffffc851 "test", digest=0x7fffffffc8e1 "/231!221h22324021KX377357O346u214q356267#177", write=false, replica=AS_POLICY_REPLICA_MASTER)
            at src/main/aerospike/as_shm_cluster.c:431
#1  0x00007fffdf219ce5 in as_node_get (cluster=0x353bd90508, err=0x7fffffffc920, cn=0x7fffffffc7c0, command=0x7fffffffc740 "0203", command_len=82, timeout_ms=1000, retry=1,
                parse_results_fn=0x7fffdf21a97b <as_command_parse_result>, parse_results_data=0x7fffffffc7e0) at src/include/aerospike/as_cluster.h:562
#2  as_command_execute (cluster=0x353bd90508, err=0x7fffffffc920, cn=0x7fffffffc7c0, command=0x7fffffffc740 "0203", command_len=82, timeout_ms=1000, retry=1,
                    parse_results_fn=0x7fffdf21a97b <as_command_parse_result>, parse_results_data=0x7fffffffc7e0) at src/main/aerospike/as_command.c:435
#3  0x00007fffdf211a67 in aerospike_key_get (as=0x17dead0, err=0x7fffffffc920, policy=0x17dfbb0, key=<value optimized out>, rec=0x7fffffffc848) at src/main/aerospike/aerospike_key.c:114
#4  0x00007fffdf1e4295 in AerospikeClient_Get_Invoke (self=0x720d30, py_key=0x7fffb0b05730, py_policy=<value optimized out>) at src/main/client/get.c:96
#5  0x00007fffdf1e44a0 in AerospikeClient_Get (self=0x720d30, args=<value optimized out>, kwds=<value optimized out>) at src/main/client/get.c:174
#6  0x00007ffff7d12f24 in call_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4033
#7  PyEval_EvalFrameEx (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:2679
#8  0x00007ffff7d1399e in fast_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4119
#9  call_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4054
#10 PyEval_EvalFrameEx (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:2679
#11 0x00007ffff7d14a9e in PyEval_EvalCodeEx (co=0x7ffff7b0ee30, globals=<value optimized out>, locals=<value optimized out>, args=<value optimized out>, argcount=1, kws=0x7ffff7bc6068, kwcount=0,
                        defs=0x0, defcount=0, closure=0x0) at Python/ceval.c:3265
#12 0x00007ffff7c927c8 in function_call (func=0x7fffdf1936e0, arg=0x7fffb0af9450, kw=0x7fffde2dfd70) at Objects/funcobject.c:526
#13 0x00007ffff7c631a3 in PyObject_Call (func=0x7fffdf1936e0, arg=<value optimized out>, kw=<value optimized out>) at Objects/abstract.c:2529
#14 0x00007ffff7d11746 in ext_do_call (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4346
#15 PyEval_EvalFrameEx (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:2718
#16 0x00007ffff7d14a9e in PyEval_EvalCodeEx (co=0x7fffe041f6b0, globals=<value optimized out>, locals=<value optimized out>, args=<value optimized out>, argcount=1, kws=0x1e142b0, kwcount=0, defs=0x0,
                            defcount=0, closure=0x7fffde39bbe0) at Python/ceval.c:3265
#17 0x00007ffff7d12c52 in fast_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4129
#18 call_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4054
#19 PyEval_EvalFrameEx (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:2679
#20 0x00007ffff7d14a9e in PyEval_EvalCodeEx (co=0x7fffe042b1b0, globals=<value optimized out>, locals=<value optimized out>, args=<value optimized out>, argcount=4, kws=0x7fffcbc517e0, kwcount=0,
                                defs=0x7fffdffa8428, defcount=1, closure=0x0) at Python/ceval.c:3265
#21 0x00007ffff7d12c52 in fast_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4129
#22 call_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4054
#23 PyEval_EvalFrameEx (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:2679
#24 0x00007ffff7d1399e in fast_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4119
#25 call_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4054
#26 PyEval_EvalFrameEx (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:2679
#27 0x00007ffff7d14a9e in PyEval_EvalCodeEx (co=0x7fffe041f730, globals=<value optimized out>, locals=<value optimized out>, args=<value optimized out>, argcount=2, kws=0x1d6c958, kwcount=0, defs=0x0,
                                    defcount=0, closure=0x0) at Python/ceval.c:3265
#28 0x00007ffff7d12c52 in fast_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4129
#29 call_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4054
#30 PyEval_EvalFrameEx (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:2679
#31 0x00007ffff7d14a9e in PyEval_EvalCodeEx (co=0x7ffff1ac6030, globals=<value optimized out>, locals=<value optimized out>, args=<value optimized out>, argcount=1, kws=0x7fffde5b85b8, kwcount=1,
                                        defs=0x7fffdf18bfa8, defcount=1, closure=0x0) at Python/ceval.c:3265
#32 0x00007ffff7d12c52 in fast_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4129
#33 call_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4054
#34 PyEval_EvalFrameEx (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:2679
#35 0x00007ffff7d14a9e in PyEval_EvalCodeEx (co=0x7ffff1ac6130, globals=<value optimized out>, locals=<value optimized out>, args=<value optimized out>, argcount=0, kws=0x662d48, kwcount=1,
                                            defs=0x7fffdf18bfe8, defcount=1, closure=0x0) at Python/ceval.c:3265
#36 0x00007ffff7d12c52 in fast_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4129
#37 call_function (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:4054
#38 PyEval_EvalFrameEx (f=<value optimized out>, throwflag=<value optimized out>) at Python/ceval.c:2679
#39 0x00007ffff7d14a9e in PyEval_EvalCodeEx (co=0x7ffff1ac6230, globals=<value optimized out>, locals=<value optimized out>, args=<value optimized out>, argcount=0, kws=0x0, kwcount=0, defs=0x0,
                                                defcount=0, closure=0x0) at Python/ceval.c:3265
                                                ---Type <return> to continue, or q <return> to quit---
#40 0x00007ffff7d14bb2 in PyEval_EvalCode (co=<value optimized out>, globals=<value optimized out>, locals=<value optimized out>) at Python/ceval.c:673
#41 0x00007ffff7d34850 in run_mod (fp=0x65f7b0, filename=<value optimized out>, start=<value optimized out>, globals=0x7ffff7b9b168, locals=0x7ffff7b9b168, closeit=1, flags=0x7fffffffe0e0)
                                                    at Python/pythonrun.c:1377
#42 PyRun_FileExFlags (fp=0x65f7b0, filename=<value optimized out>, start=<value optimized out>, globals=0x7ffff7b9b168, locals=0x7ffff7b9b168, closeit=1, flags=0x7fffffffe0e0) at Python/pythonrun.c:1363
#43 0x00007ffff7d34a2f in PyRun_SimpleFileExFlags (fp=0x65f7b0, filename=0x7fffffffe4d9 "bidlandscape_sf.py", closeit=1, flags=0x7fffffffe0e0) at Python/pythonrun.c:955
#44 0x00007ffff7d4a194 in Py_Main (argc=<value optimized out>, argv=<value optimized out>) at Modules/main.c:640
#45 0x000000353ba1ed5d in __libc_start_main (main=0x400710 <main>, argc=7, ubp_av=0x7fffffffe208, init=<value optimized out>, fini=<value optimized out>, rtld_fini=<value optimized out>,
                                                        stack_end=0x7fffffffe1f8) at libc-start.c:226
#46 0x0000000000400649 in _start ()

看起来aerospike_key_get调用了文件src/main/aerospike/as_shm_cluster.c中的某个子例程，但该子例程不存在，因此存在分段错误。我检查了我的$LD_LIBRARY_PATH，它确实包含包含aerospike.so. 的目录

为什么缺少此特定文件？它是不是在别的地方，而不是在Aeropike.so
为什么分段错误。应该在Python客户端中优雅地处理它

编辑：

    Metadata-Version: 1.1
    Name: aerospike
    Version: 2.0.1
    Summary: Aerospike Client Library for Python
    Home-page: http://aerospike.com
    Author: Aerospike, Inc.
    Author-email: info@aerospike.com
    License: Apache Software License
    Location: /home/hdfs/graphlab/lib/python2.7/site-packages
    Requires:
    Classifiers:
      License :: OSI Approved :: Apache Software License
      Operating System :: POSIX :: Linux
      Operating System :: MacOS :: MacOS X
      Programming Language :: Python :: 2.6
      Programming Language :: Python :: 2.7
      Programming Language :: Python :: 3.5
      Programming Language :: Python :: Implementation :: CPython
      Topic :: Database
    Files:
      ../../../aerospike
      ../../../aerospike/lua/aerospike.lua
      ../../../aerospike/lua/as.lua
      ../../../aerospike/lua/stream_ops.lua
      ../../../aerospike/usr-lua
      aerospike-2.0.1-py2.7.egg-info
      aerospike-2.0.1-py2.7.egg-info/PKG-INFO
      aerospike-2.0.1-py2.7.egg-info/SOURCES.txt
      aerospike-2.0.1-py2.7.egg-info/dependency_links.txt
      aerospike-2.0.1-py2.7.egg-info/eager_resources.txt
      aerospike-2.0.1-py2.7.egg-info/not-zip-safe
      aerospike-2.0.1-py2.7.egg-info/top_level.txt
      aerospike.so
echo $LD_LIBRARY_PATH
/home/hdfs/graphlab/lib/python2.7/site-packages/:/usr/local/lib:/home/hdfs/python-2.7.8-install/lib/:/home/hdfs/python-3.4.2-install/lib/

这已经在GitHub上的Aeropike/Aeropikeclient python repo中被报道为问题112和115，并在讨论论坛上发布。

在您的情况下，"解决方法"是正确使用客户端。在显式关闭与数据库的连接后，不要调用该数据库。

如果你需要修复这个bug，你可以分叉项目（它是Apache许可证下的开源项目）并自己修复它，或者等待项目的维护人员根据现有问题自己修复它。

编辑：

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