pickling. */
PyObject *pers_func; /* persistent_id() method, can be NULL */
PyObject *dispatch_table; /* private dispatch_table, can be NULL */
- PyObject *arg;
PyObject *write; /* write() method of the output stream. */
PyObject *output_buffer; /* Write into a local bytearray buffer before
Py_ssize_t memo_size; /* Capacity of the memo array */
Py_ssize_t memo_len; /* Number of objects in the memo */
- PyObject *arg;
PyObject *pers_func; /* persistent_load() method, can be NULL. */
Py_buffer buffer;
/*************************************************************************/
-/* Helpers for creating the argument tuple passed to functions. This has the
- performance advantage of calling PyTuple_New() only once.
-
- XXX(avassalotti): Inline directly in _Pickler_FastCall() and
- _Unpickler_FastCall(). */
-#define ARG_TUP(self, obj) do { \
- if ((self)->arg || ((self)->arg=PyTuple_New(1))) { \
- Py_XDECREF(PyTuple_GET_ITEM((self)->arg, 0)); \
- PyTuple_SET_ITEM((self)->arg, 0, (obj)); \
- } \
- else { \
- Py_DECREF((obj)); \
- } \
- } while (0)
-
-#define FREE_ARG_TUP(self) do { \
- if ((self)->arg->ob_refcnt > 1) \
- Py_CLEAR((self)->arg); \
- } while (0)
-
-/* A temporary cleaner API for fast single argument function call.
-
- XXX: Does caching the argument tuple provides any real performance benefits?
-
- A quick benchmark, on a 2.0GHz Athlon64 3200+ running Linux 2.6.24 with
- glibc 2.7, tells me that it takes roughly 20,000,000 PyTuple_New(1) calls
- when the tuple is retrieved from the freelist (i.e, call PyTuple_New() then
- immediately DECREF it) and 1,200,000 calls when allocating brand new tuples
- (i.e, call PyTuple_New() and store the returned value in an array), to save
- one second (wall clock time). Either ways, the loading time a pickle stream
- large enough to generate this number of calls would be massively
- overwhelmed by other factors, like I/O throughput, the GC traversal and
- object allocation overhead. So, I really doubt these functions provide any
- real benefits.
-
- On the other hand, oprofile reports that pickle spends a lot of time in
- these functions. But, that is probably more related to the function call
- overhead, than the argument tuple allocation.
-
- XXX: And, what is the reference behavior of these? Steal, borrow? At first
- glance, it seems to steal the reference of 'arg' and borrow the reference
- of 'func'. */
+/* Helper for calling a function with a single argument quickly.
+
+ This has the performance advantage of reusing the argument tuple. This
+ provides a nice performance boost with older pickle protocols where many
+ unbuffered reads occurs.
+
+ This function steals the reference of the given argument. */
static PyObject *
-_Pickler_FastCall(PicklerObject *self, PyObject *func, PyObject *arg)
+_Pickle_FastCall(PyObject *func, PyObject *obj)
{
- PyObject *result = NULL;
+ static PyObject *arg_tuple = NULL;
+ PyObject *result;
+
+ if (arg_tuple == NULL) {
+ arg_tuple = PyTuple_New(1);
+ if (arg_tuple == NULL) {
+ Py_DECREF(obj);
+ return NULL;
+ }
+ }
+ assert(arg_tuple->ob_refcnt == 1);
+ assert(PyTuple_GET_ITEM(arg_tuple, 0) == NULL);
+
+ PyTuple_SET_ITEM(arg_tuple, 0, obj);
+ result = PyObject_Call(func, arg_tuple, NULL);
- ARG_TUP(self, arg);
- if (self->arg) {
- result = PyObject_Call(func, self->arg, NULL);
- FREE_ARG_TUP(self);
+ Py_CLEAR(PyTuple_GET_ITEM(arg_tuple, 0));
+ if (arg_tuple->ob_refcnt > 1) {
+ /* The function called saved a reference to our argument tuple.
+ This means we cannot reuse it anymore. */
+ Py_CLEAR(arg_tuple);
}
return result;
}
if (output == NULL)
return -1;
- result = _Pickler_FastCall(self, self->write, output);
+ result = _Pickle_FastCall(self->write, output);
Py_XDECREF(result);
return (result == NULL) ? -1 : 0;
}
self->pers_func = NULL;
self->dispatch_table = NULL;
- self->arg = NULL;
self->write = NULL;
self->proto = 0;
self->bin = 0;
return 0;
}
-/* See documentation for _Pickler_FastCall(). */
-static PyObject *
-_Unpickler_FastCall(UnpicklerObject *self, PyObject *func, PyObject *arg)
-{
- PyObject *result = NULL;
-
- ARG_TUP(self, arg);
- if (self->arg) {
- result = PyObject_Call(func, self->arg, NULL);
- FREE_ARG_TUP(self);
- }
- return result;
-}
-
/* Returns the size of the input on success, -1 on failure. This takes its
own reference to `input`. */
static Py_ssize_t
PyObject *len = PyLong_FromSsize_t(n);
if (len == NULL)
return -1;
- data = _Unpickler_FastCall(self, self->read, len);
+ data = _Pickle_FastCall(self->read, len);
}
if (data == NULL)
return -1;
Py_DECREF(data);
return -1;
}
- prefetched = _Unpickler_FastCall(self, self->peek, len);
+ prefetched = _Pickle_FastCall(self->peek, len);
if (prefetched == NULL) {
if (PyErr_ExceptionMatches(PyExc_NotImplementedError)) {
/* peek() is probably not supported by the given file object */
if (self == NULL)
return NULL;
- self->arg = NULL;
self->pers_func = NULL;
self->input_buffer = NULL;
self->input_line = NULL;
const char binpersid_op = BINPERSID;
Py_INCREF(obj);
- pid = _Pickler_FastCall(self, func, obj);
+ pid = _Pickle_FastCall(func, obj);
if (pid == NULL)
return -1;
}
if (reduce_func != NULL) {
Py_INCREF(obj);
- reduce_value = _Pickler_FastCall(self, reduce_func, obj);
+ reduce_value = _Pickle_FastCall(reduce_func, obj);
}
else if (PyType_IsSubtype(type, &PyType_Type)) {
status = save_global(self, obj, NULL);
PyObject *proto;
proto = PyLong_FromLong(self->proto);
if (proto != NULL) {
- reduce_value = _Pickler_FastCall(self, reduce_func, proto);
+ reduce_value = _Pickle_FastCall(reduce_func, proto);
}
}
else {
Py_XDECREF(self->write);
Py_XDECREF(self->pers_func);
Py_XDECREF(self->dispatch_table);
- Py_XDECREF(self->arg);
Py_XDECREF(self->fast_memo);
PyMemoTable_Del(self->memo);
Py_VISIT(self->write);
Py_VISIT(self->pers_func);
Py_VISIT(self->dispatch_table);
- Py_VISIT(self->arg);
Py_VISIT(self->fast_memo);
return 0;
}
Py_CLEAR(self->write);
Py_CLEAR(self->pers_func);
Py_CLEAR(self->dispatch_table);
- Py_CLEAR(self->arg);
Py_CLEAR(self->fast_memo);
if (self->memo != NULL) {
return NULL;
}
- self->arg = NULL;
self->fast = 0;
self->fast_nesting = 0;
self->fast_memo = NULL;
if (pid == NULL)
return -1;
- /* Ugh... this does not leak since _Unpickler_FastCall() steals the
- reference to pid first. */
- pid = _Unpickler_FastCall(self, self->pers_func, pid);
+ /* This does not leak since _Pickle_FastCall() steals the reference
+ to pid first. */
+ pid = _Pickle_FastCall(self->pers_func, pid);
if (pid == NULL)
return -1;
if (pid == NULL)
return -1;
- /* Ugh... this does not leak since _Unpickler_FastCall() steals the
+ /* This does not leak since _Pickle_FastCall() steals the
reference to pid first. */
- pid = _Unpickler_FastCall(self, self->pers_func, pid);
+ pid = _Pickle_FastCall(self->pers_func, pid);
if (pid == NULL)
return -1;
PyObject *result;
value = self->stack->data[i];
- result = _Unpickler_FastCall(self, append_func, value);
+ result = _Pickle_FastCall(append_func, value);
if (result == NULL) {
Pdata_clear(self->stack, i + 1);
Py_SIZE(self->stack) = x;
PyObject *item;
item = self->stack->data[i];
- result = _Unpickler_FastCall(self, add_func, item);
+ result = _Pickle_FastCall(add_func, item);
if (result == NULL) {
Pdata_clear(self->stack, i + 1);
Py_SIZE(self->stack) = mark;
PyObject *result;
/* The explicit __setstate__ is responsible for everything. */
- /* Ugh... this does not leak since _Unpickler_FastCall() steals the
- reference to state first. */
- result = _Unpickler_FastCall(self, setstate, state);
+ result = _Pickle_FastCall(setstate, state);
Py_DECREF(setstate);
if (result == NULL)
return -1;
Py_XDECREF(self->peek);
Py_XDECREF(self->stack);
Py_XDECREF(self->pers_func);
- Py_XDECREF(self->arg);
if (self->buffer.buf != NULL) {
PyBuffer_Release(&self->buffer);
self->buffer.buf = NULL;
Py_VISIT(self->peek);
Py_VISIT(self->stack);
Py_VISIT(self->pers_func);
- Py_VISIT(self->arg);
return 0;
}
Py_CLEAR(self->peek);
Py_CLEAR(self->stack);
Py_CLEAR(self->pers_func);
- Py_CLEAR(self->arg);
if (self->buffer.buf != NULL) {
PyBuffer_Release(&self->buffer);
self->buffer.buf = NULL;
if (self->memo == NULL)
return NULL;
- self->arg = NULL;
self->proto = 0;
return Py_None;
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