我正在使用JCC Python-Java桥接器，并且大部分工作正常。不过，我发现了以下错误：SIGSEGV：JCC库代码中的分段错误
JRE version: 7.0_17-b02
Java VM: Java HotSpot(TM) Client VM (23.7-b01 mixed mode linux-x86)
Problematic frame:
C [_ciasliveschema.so+0x21e75c] boxJObject(_typeobject*, _object*, java::lang::Object*)+0x22c
堆栈转储如下：
Stack: [0xbfbe5000,0xbfc35000], sp=0xbfc33820, free space=314k
Native frames: (J=compiled Java code, j=interpreted, Vv=VM code, C=native code)
C [_ciasliveschema.so+0x21e75c] boxJObject(_typeobject*, _object*, java::lang::Object*)+0x22c
C [_ciasliveschema.so+0x221977] boxObject(_typeobject*, _object*, java::lang::Object*)+0x27
C [_ciasliveschema.so+0x225149] _parseArgs(_object*, unsigned int, char, ...)+0x2f69
C [_ciasliveschema.so+0x17e21c] schema::util::t_IndividualCaster_asMessage (schema::util::t_IndividualCaster*, _object*)+0xac
C [python+0x8bda4] PyEval_EvalFrameEx+0x6494
C [python+0x8ccb1] PyEval_EvalCodeEx+0x871
C [python+0xe0a0c] [email protected]@GLIBC_2.0+0xe0a0c
C [python+0x143b5] PyObject_Call+0x45
C [python+0x1b107] [email protected]@GLIBC_2.0+0x1b107
C [python+0x143b5] PyObject_Call+0x45
C [python+0x84a72] PyEval_CallObjectWithKeywords+0x42
C [python+0x1eec1] PyInstance_New+0x71
C [python+0x143b5] PyObject_Call+0x45
C [python+0x86923] PyEval_EvalFrameEx+0x1013
C [python+0x8b347] PyEval_EvalFrameEx+0x5a37
C [python+0x8ccb1] PyEval_EvalCodeEx+0x871
C [python+0x8cd47] PyEval_EvalCode+0x57
为boxJObject函数的代码如下：
static int boxJObject(PyTypeObject *type, PyObject *arg,
java::lang::Object *obj)
{
if (arg == Py_None)
{
if (obj != NULL)
*obj = Object(NULL);
}
else if (PyObject_TypeCheck(arg, &PY_TYPE(Object)))
{
if (type != NULL && !is_instance_of(arg, type))
return -1;
if (obj != NULL)
*obj = ((t_Object *) arg)->object;
}
else if (PyObject_TypeCheck(arg, &PY_TYPE(FinalizerProxy)))
{
arg = ((t_fp *) arg)->object;
if (PyObject_TypeCheck(arg, &PY_TYPE(Object)))
{
if (type != NULL && !is_instance_of(arg, type))
return -1;
if (obj != NULL)
*obj = ((t_Object *) arg)->object;
}
else
return -1;
}
else
return 1;
return 0;
}
这是按以下方式调用：
int result = boxJObject(type, arg, obj);
另外，我已修改jcc.cpp的以下部分：initVM（）方法：
if (JNI_CreateJavaVM(&vm, (void **) &vm_env, &vm_args) < 0)
{
for (unsigned int i = 0; i < nOptions; i++)
delete vm_options[i].optionString;
PyErr_Format(PyExc_ValueError,
"An error occurred while creating Java VM");
return NULL;
}
如下：
vm_args.nOptions = nOptions;
vm_args.ignoreUnrecognized = JNI_FALSE;
vm_args.options = vm_options;
vmInitSuccess = JNI_CreateJavaVM(&vm, (void **) &vm_env, &vm_args);
if (vmInitSuccess < 0)
{
for (unsigned int i = 0; i < nOptions; i++)
delete vm_options[i].optionString;
//Set up basic error message
sprintf(strVMInitSuccess, "%d", vmInitSuccess);
strcpy(strVMError, "An error occurred while creating Java VM (No Exception): ");
strcat(strVMError, strVMInitSuccess);
//Get exception if there is one
if((exc = vm_env->ExceptionOccurred()))
{
//Clear the exception since we have it now
vm_env->ExceptionClear();
//Get the getMessage() method
if ((java_class = vm_env->FindClass ("java/lang/Throwable")))
{
if ((method = vm_env->GetMethodID(java_class, "getMessage", "()Ljava/lang/String;")))
{
int size;
strExc = static_cast<jstring>(vm_env->CallObjectMethod(exc, method));
charExc = vm_env->GetStringUTFChars(strExc, NULL);
size = sizeof(strVMError) + sizeof(charExc);
char strVMException[size];
strcpy(strVMException, "An error occurred while creating Java VM (Exception): ");
strcat(strVMException, charExc);
PyErr_Format(PyExc_ValueError, strVMException);
return NULL;
}
}
}
PyErr_Format(PyExc_ValueError, strVMError);
return NULL;
}
这是为了试图获得更详细的错误消息从背面JCC发生错误时，可能这是错误的根源（尽管上面的段错误和堆栈跟踪表明了其他情况）。
最后，我目前从调用内Python中initVM（）方法，如下所示：
self.__cslschemalib = ciasliveschema.initVM(classpath=ciasliveschema.CLASSPATH)
然而，当我试图调用的方法如下（以增加可用的存储器的量）：
self.__cslschemalib = ciasliveschema.initVM(classpath=ciasliveschema.CLASSPATH, initialheap='512m', maxheap='2048m', maxstack='2048m', vmargs='-Xcheck:jni,-verbose:jni,-verbose:gc')
我得到以下错误：
JRE version: 7.0_17-b02 Java VM: Java HotSpot(TM) Client VM (23.7-b01 mixed mode linux-x86) Problematic frame: C 0x00000000
和堆栈跟踪：
Stack: [0xbf6e0000,0xbf8e0000], sp=0xbf8dd580, free space=2037k
有什么建议吗？