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!15 feat(extras): Support execPreparedBatch and execParamsBatch

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Merge pull request !15 from vimiix/dev
This commit is contained in:
opengauss_bot
2023-08-21 07:19:13 +00:00
committed by Gitee
parent ab8b25a6f3 97df682209
commit d81dec06b9
2 changed files with 241 additions and 1 deletions
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34
lib/extras.py
View File

@ -1302,3 +1302,37 @@ def _split_sql(sql):
raise ValueError("the query doesn't contain any '%s' placeholder")
return pre, post
def execute_prepared_batch(cur, prepared_statement_name, args_list, page_size=100):
r"""
[openGauss libpq only]
Execute prepared statement with api `PQexecPreparedBatch` (new api in openGauss)
Param:
argslist: 2d list, do nothing if empty
"""
if len(args_list) == 0:
return
nparams = len(args_list[0])
for page in _paginate(args_list, page_size=page_size):
cur.execute_prepared_batch(prepared_statement_name, nparams, len(page), page)
def execute_params_batch(cur, sql_format, args_list, page_size=100):
r"""
[openGauss libpq only]
Execute sql with api `PQexecParamsBatch` (new api in openGauss)
Arguments:
argslist: 2d list, do nothing if empty
"""
if len(args_list) == 0:
return
nparams = len(args_list[0])
for page in _paginate(args_list, page_size=page_size):
cur.execute_params_batch(sql_format, nparams, len(page), page)

206
psycopg/cursor_type.c
View File

@ -618,6 +618,206 @@ curs_executemany(cursorObject *self, PyObject *args, PyObject *kwargs)
}
}
#define curs_execute_prepared_batch_doc \
"execute_prepared_batch(statement_name, nParams, nBatch, varsList) -- Execute prepared sql with bound batch vars"
static PyObject *
curs_execute_prepared_batch(cursorObject *self, PyObject *args)
{
const char *stmtName = NULL;
int nParams = 0, nBatch = 0;
PyObject *argsList = NULL;
Py_ssize_t rowIdx, colIdx, total;
char **paramValues = NULL;
PGresult *res = NULL;
/* reset rowcount to -1 to avoid setting it when an exception is raised */
self->rowcount = -1;
if (!PyArg_ParseTuple(args, "siiO", &stmtName, &nParams, &nBatch, &argsList))
{
Dprintf("execute_prepared_batch: parse tuple failed");
goto exit;
}
Dprintf("execute_prepared_batch parsed statement_name: %s, nParams: %d, nBatch: %d",
stmtName, nParams, nBatch);
total = nBatch*nParams;
EXC_IF_CURS_CLOSED(self);
EXC_IF_CURS_ASYNC(self, execute_prepared_batch);
EXC_IF_TPC_PREPARED(self->conn, execute_prepared_batch);
if (self->name != NULL) {
psyco_set_error(ProgrammingError, self, "can't call .execute_prepared_batch() on named cursors");
goto exit;
}
// allocate all memory
if (!(paramValues = (char**)malloc(sizeof(char*) * total))) {
PyErr_NoMemory();
goto exit;
}
memset(paramValues, 0, sizeof(char *) * total);
if (!PySequence_Check(argsList)) {
psyco_set_error(DataError, self, "expect varsList is a list");
goto exit;
}
for (rowIdx = 0; rowIdx < nBatch; rowIdx++) {
PyObject *rowArgs = PySequence_GetItem(argsList, rowIdx);
// Check if the inner object is a list
if (!PySequence_Check(rowArgs)) {
psyco_set_error(DataError, self, "expect every item in varsList is a list");
goto exit;
}
// Loop through each row of parameters
for (colIdx = 0; colIdx < nParams; colIdx++) {
PyObject *argItem = PySequence_GetItem(rowArgs, colIdx);
if (argItem == Py_None) {
paramValues[rowIdx*nParams+colIdx] = "NULL";
} else {
PyObject *t = microprotocol_getquoted(argItem, self->conn);
paramValues[rowIdx*nParams+colIdx] = strdup(Bytes_AsString(t));
Py_XDECREF(t);
}
Py_XDECREF(argItem);
}
Py_XDECREF(rowArgs);
}
res = PQexecPreparedBatch(self->conn->pgconn, stmtName, nParams, nBatch,
paramValues, NULL, NULL, 0);
conn_set_result(self->conn, res);
if (PQresultStatus(res) != PGRES_COMMAND_OK) {
Dprintf("execute_prepared_batch error: %s", PQresultErrorMessage(res));
psyco_set_error(OperationalError, self, PQresultErrorMessage(res));
goto exit;
}
exit:
free(paramValues);
Py_RETURN_NONE;
}
#define curs_execute_params_batch_doc \
"execute_params_batch(sql, nParams, nBatch, varsList) -- Execute sql with bound batch vars"
static PyObject *
curs_execute_params_batch(cursorObject *self, PyObject *args)
{
const char *sql = NULL;
int nParams = 0, nBatch = 0;
PyObject *argsList = NULL;
Py_ssize_t rowIdx, colIdx, total;
char **paramValues = NULL;
PGresult *res = NULL;
self->rowcount = -1;
if (!PyArg_ParseTuple(args, "siiO", &sql, &nParams, &nBatch, &argsList))
{
Dprintf("execute_params_batch: parse tuple failed");
goto exit;
}
Dprintf("execute_params_batch parsed sql: %s, nParams: %d, nBatch: %d",
sql, nParams, nBatch);
total = nBatch*nParams;
EXC_IF_CURS_CLOSED(self);
EXC_IF_CURS_ASYNC(self, execute_params_batch);
EXC_IF_TPC_PREPARED(self->conn, execute_params_batch);
if (self->name != NULL) {
psyco_set_error(ProgrammingError, self, "can't call .execute_params_batch() on named cursors");
goto exit;
}
if (!(paramValues = (char**)malloc(sizeof(char*) * total))) {
PyErr_NoMemory();
goto exit;
}
memset(paramValues, 0, sizeof(char *) * total);
if (!PySequence_Check(argsList)) {
psyco_set_error(DataError, self, "expect varsList is a list");
goto exit;
}
for (rowIdx = 0; rowIdx < nBatch; rowIdx++) {
PyObject *rowArgs = PySequence_GetItem(argsList, rowIdx);
// Check if the inner object is a list
if (!PySequence_Check(rowArgs)) {
psyco_set_error(DataError, self, "expect every item in varsList is a list");
goto exit;
}
// Loop through each row of parameters
for (colIdx = 0; colIdx < nParams; colIdx++) {
PyObject *argItem = PySequence_GetItem(rowArgs, colIdx);
if (argItem == Py_None) {
paramValues[rowIdx*nParams+colIdx] = "NULL";
} else {
PyObject *t = microprotocol_getquoted(argItem, self->conn);
paramValues[rowIdx*nParams+colIdx] = strdup(Bytes_AsString(t));
Py_XDECREF(t);
}
Py_XDECREF(argItem);
}
Py_XDECREF(rowArgs);
}
res = PQexecParamsBatch(self->conn->pgconn, sql, nParams, nBatch, NULL,
paramValues, NULL, NULL, 0);
conn_set_result(self->conn, res);
if (PQresultStatus(res) != PGRES_COMMAND_OK) {
Dprintf("execute_params_batch error: %s", PQresultErrorMessage(res));
psyco_set_error(OperationalError, self, PQresultErrorMessage(res));
goto exit;
}
exit:
free(paramValues);
Py_RETURN_NONE;
}
#define curs_prepare_doc \
"prepare(name, command, nparams) -- Prepare a statement"
static PyObject *
curs_prepare(cursorObject *self, PyObject *args)
{
const char *stmtname = NULL;
const char *query = NULL;
int nparams;
PGresult *res = NULL;
if (!PyArg_ParseTuple(args, "ssi", &stmtname, &query, &nparams)) {
return NULL;
}
EXC_IF_CURS_CLOSED(self);
EXC_IF_ASYNC_IN_PROGRESS(self, prepare);
EXC_IF_TPC_PREPARED(self->conn, prepare);
res = PQprepare(self->conn->pgconn, stmtname, query, nparams, NULL);
conn_set_result(self->conn, res);
if (PQresultStatus(res) != PGRES_COMMAND_OK) {
psyco_set_error(OperationalError, self, PQresultErrorMessage(res));
return NULL;
}
Py_RETURN_NONE;
}
#define curs_mogrify_doc \
"mogrify(query, vars=None) -> str -- Return query after vars binding."
@ -1913,6 +2113,12 @@ static struct PyMethodDef cursorObject_methods[] = {
METH_VARARGS|METH_KEYWORDS, curs_execute_doc},
{"executemany", (PyCFunction)curs_executemany,
METH_VARARGS|METH_KEYWORDS, curs_executemany_doc},
{"execute_prepared_batch", (PyCFunction)curs_execute_prepared_batch,
METH_VARARGS, curs_execute_prepared_batch_doc},
{"execute_params_batch", (PyCFunction)curs_execute_params_batch,
METH_VARARGS, curs_execute_params_batch_doc},
{"prepare", (PyCFunction)curs_prepare,
METH_VARARGS, curs_prepare_doc},
{"fetchone", (PyCFunction)curs_fetchone,
METH_NOARGS, curs_fetchone_doc},
{"fetchmany", (PyCFunction)curs_fetchmany,