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https://github.com/psycopg/psycopg2.git
synced 2024-11-23 01:16:34 +03:00
Avoid a deadlock using concurrent green threads on the same connection
Use the async_cursor property to store an indication that something is running (even if it is not necessarily a cursor running the query).
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3
NEWS
3
NEWS
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@ -13,6 +13,9 @@ What's new in psycopg 2.4.2
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support was built (ticket #53).
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support was built (ticket #53).
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- Fixed escape for negative numbers prefixed by minus operator
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- Fixed escape for negative numbers prefixed by minus operator
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(ticket #57).
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(ticket #57).
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- Trying to execute concurrent operations on the same connection
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through concurrent green thread results in an error instead of a
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deadlock.
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What's new in psycopg 2.4.1
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What's new in psycopg 2.4.1
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@ -432,11 +432,9 @@ SQLAlchemy_) to be used in coroutine-based programs.
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.. warning::
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.. warning::
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Psycopg connections are not *green thread safe* and can't be used
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Psycopg connections are not *green thread safe* and can't be used
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concurrently by different green threads. Each connection has a lock
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concurrently by different green threads. Trying to execute more than one
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used to serialize requests from different cursors to the backend process.
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command at time using one cursor per thread will result in an error (or a
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The lock is held for the duration of the command: if the control switched
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deadlock on versions before 2.4.2).
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to a different thread and the latter tried to access the same connection,
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the result would be a deadlock.
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Therefore, programmers are advised to either avoid sharing connections
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Therefore, programmers are advised to either avoid sharing connections
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between coroutines or to use a library-friendly lock to synchronize shared
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between coroutines or to use a library-friendly lock to synchronize shared
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@ -598,8 +598,8 @@ forking web deploy method such as FastCGI ensure to create the connections
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.. __: http://www.postgresql.org/docs/9.0/static/libpq-connect.html#LIBPQ-CONNECT
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.. __: http://www.postgresql.org/docs/9.0/static/libpq-connect.html#LIBPQ-CONNECT
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Connections shouldn't be shared either by different green threads: doing so
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Connections shouldn't be shared either by different green threads: see
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may result in a deadlock. See :ref:`green-support` for further details.
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:ref:`green-support` for further details.
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@ -91,7 +91,10 @@ typedef struct {
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PGconn *pgconn; /* the postgresql connection */
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PGconn *pgconn; /* the postgresql connection */
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PGcancel *cancel; /* the cancellation structure */
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PGcancel *cancel; /* the cancellation structure */
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PyObject *async_cursor; /* weakref to a cursor executing an asynchronous query */
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/* Weakref to the object executing an asynchronous query. The object
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* is a cursor for async connections, but it may be something else
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* for a green connection. If NULL, the connection is idle. */
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PyObject *async_cursor;
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int async_status; /* asynchronous execution status */
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int async_status; /* asynchronous execution status */
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/* notice processing */
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/* notice processing */
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@ -881,7 +881,7 @@ conn_poll(connectionObject *self)
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case CONN_STATUS_PREPARED:
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case CONN_STATUS_PREPARED:
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res = _conn_poll_query(self);
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res = _conn_poll_query(self);
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if (res == PSYCO_POLL_OK && self->async_cursor) {
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if (res == PSYCO_POLL_OK && self->async && self->async_cursor) {
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/* An async query has just finished: parse the tuple in the
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/* An async query has just finished: parse the tuple in the
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* target cursor. */
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* target cursor. */
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cursorObject *curs;
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cursorObject *curs;
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@ -739,7 +739,6 @@ psyco_curs_fetchone(cursorObject *self, PyObject *args)
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PyObject *res;
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PyObject *res;
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EXC_IF_CURS_CLOSED(self);
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EXC_IF_CURS_CLOSED(self);
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EXC_IF_ASYNC_IN_PROGRESS(self, fetchone);
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if (_psyco_curs_prefetch(self) < 0) return NULL;
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if (_psyco_curs_prefetch(self) < 0) return NULL;
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EXC_IF_NO_TUPLES(self);
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EXC_IF_NO_TUPLES(self);
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@ -747,6 +746,7 @@ psyco_curs_fetchone(cursorObject *self, PyObject *args)
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char buffer[128];
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char buffer[128];
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EXC_IF_NO_MARK(self);
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EXC_IF_NO_MARK(self);
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EXC_IF_ASYNC_IN_PROGRESS(self, fetchone);
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EXC_IF_TPC_PREPARED(self->conn, fetchone);
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EXC_IF_TPC_PREPARED(self->conn, fetchone);
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PyOS_snprintf(buffer, 127, "FETCH FORWARD 1 FROM \"%s\"", self->name);
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PyOS_snprintf(buffer, 127, "FETCH FORWARD 1 FROM \"%s\"", self->name);
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if (pq_execute(self, buffer, 0) == -1) return NULL;
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if (pq_execute(self, buffer, 0) == -1) return NULL;
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@ -853,7 +853,6 @@ psyco_curs_fetchmany(cursorObject *self, PyObject *args, PyObject *kwords)
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}
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}
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EXC_IF_CURS_CLOSED(self);
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EXC_IF_CURS_CLOSED(self);
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EXC_IF_ASYNC_IN_PROGRESS(self, fetchmany);
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if (_psyco_curs_prefetch(self) < 0) return NULL;
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if (_psyco_curs_prefetch(self) < 0) return NULL;
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EXC_IF_NO_TUPLES(self);
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EXC_IF_NO_TUPLES(self);
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@ -861,6 +860,7 @@ psyco_curs_fetchmany(cursorObject *self, PyObject *args, PyObject *kwords)
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char buffer[128];
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char buffer[128];
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EXC_IF_NO_MARK(self);
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EXC_IF_NO_MARK(self);
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EXC_IF_ASYNC_IN_PROGRESS(self, fetchmany);
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EXC_IF_TPC_PREPARED(self->conn, fetchone);
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EXC_IF_TPC_PREPARED(self->conn, fetchone);
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PyOS_snprintf(buffer, 127, "FETCH FORWARD %d FROM \"%s\"",
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PyOS_snprintf(buffer, 127, "FETCH FORWARD %d FROM \"%s\"",
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(int)size, self->name);
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(int)size, self->name);
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@ -924,7 +924,6 @@ psyco_curs_fetchall(cursorObject *self, PyObject *args)
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PyObject *list, *res;
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PyObject *list, *res;
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EXC_IF_CURS_CLOSED(self);
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EXC_IF_CURS_CLOSED(self);
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EXC_IF_ASYNC_IN_PROGRESS(self, fetchall);
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if (_psyco_curs_prefetch(self) < 0) return NULL;
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if (_psyco_curs_prefetch(self) < 0) return NULL;
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EXC_IF_NO_TUPLES(self);
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EXC_IF_NO_TUPLES(self);
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@ -932,6 +931,7 @@ psyco_curs_fetchall(cursorObject *self, PyObject *args)
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char buffer[128];
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char buffer[128];
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EXC_IF_NO_MARK(self);
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EXC_IF_NO_MARK(self);
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EXC_IF_ASYNC_IN_PROGRESS(self, fetchall);
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EXC_IF_TPC_PREPARED(self->conn, fetchall);
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EXC_IF_TPC_PREPARED(self->conn, fetchall);
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PyOS_snprintf(buffer, 127, "FETCH FORWARD ALL FROM \"%s\"", self->name);
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PyOS_snprintf(buffer, 127, "FETCH FORWARD ALL FROM \"%s\"", self->name);
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if (pq_execute(self, buffer, 0) == -1) return NULL;
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if (pq_execute(self, buffer, 0) == -1) return NULL;
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@ -1112,7 +1112,6 @@ psyco_curs_scroll(cursorObject *self, PyObject *args, PyObject *kwargs)
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return NULL;
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return NULL;
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EXC_IF_CURS_CLOSED(self);
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EXC_IF_CURS_CLOSED(self);
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EXC_IF_ASYNC_IN_PROGRESS(self, scroll)
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/* if the cursor is not named we have the full result set and we can do
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/* if the cursor is not named we have the full result set and we can do
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our own calculations to scroll; else we just delegate the scrolling
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our own calculations to scroll; else we just delegate the scrolling
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@ -1141,6 +1140,7 @@ psyco_curs_scroll(cursorObject *self, PyObject *args, PyObject *kwargs)
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char buffer[128];
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char buffer[128];
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EXC_IF_NO_MARK(self);
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EXC_IF_NO_MARK(self);
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EXC_IF_ASYNC_IN_PROGRESS(self, scroll)
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EXC_IF_TPC_PREPARED(self->conn, scroll);
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EXC_IF_TPC_PREPARED(self->conn, scroll);
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if (strcmp(mode, "absolute") == 0) {
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if (strcmp(mode, "absolute") == 0) {
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@ -152,6 +152,20 @@ psyco_exec_green(connectionObject *conn, const char *command)
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{
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{
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PGresult *result = NULL;
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PGresult *result = NULL;
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/* Check that there is a single concurrently executing query */
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if (conn->async_cursor) {
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PyErr_SetString(ProgrammingError,
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"a single async query can be executed on the same connection");
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goto end;
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}
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/* we don't care about which cursor is executing the query, and
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* it may also be that no cursor is involved at all and this is
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* an internal query. So just store anything in the async_cursor,
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* respecting the code expecting it to be a weakref */
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if (!(conn->async_cursor = PyWeakref_NewRef((PyObject*)conn, NULL))) {
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goto end;
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}
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/* Send the query asynchronously */
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/* Send the query asynchronously */
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if (0 == pq_send_query(conn, command)) {
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if (0 == pq_send_query(conn, command)) {
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goto end;
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goto end;
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@ -173,6 +187,7 @@ psyco_exec_green(connectionObject *conn, const char *command)
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end:
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end:
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conn->async_status = ASYNC_DONE;
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conn->async_status = ASYNC_DONE;
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Py_CLEAR(conn->async_cursor);
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return result;
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return result;
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}
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}
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