mirror of
https://github.com/psycopg/psycopg2.git
synced 2024-11-25 02:13:44 +03:00
Split pq_execute into sync/async parts
This commit is contained in:
Daniele Varrazzo
parent
4246fdf809
commit
37891500d9
241
psycopg/pqpath.c
241
psycopg/pqpath.c
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@ -996,12 +996,140 @@ pq_flush(connectionObject *conn)
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*/
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RAISES_NEG int
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pq_execute(cursorObject *curs, const char *query, int async, int no_result, int no_begin)
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_pq_execute_sync(cursorObject *curs, const char *query, int no_result, int no_begin)
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{
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PGresult *pgres = NULL;
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char *error = NULL;
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CLEARPGRES(curs->pgres);
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Py_BEGIN_ALLOW_THREADS;
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pthread_mutex_lock(&(curs->conn->lock));
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if (!no_begin && pq_begin_locked(curs->conn, &pgres, &error, &_save) < 0) {
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_BLOCK_THREADS;
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pq_complete_error(curs->conn, &pgres, &error);
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return -1;
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}
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Dprintf("pq_execute: executing SYNC query: pgconn = %p", curs->conn->pgconn);
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Dprintf(" %-.200s", query);
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if (!psyco_green()) {
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curs->pgres = PQexec(curs->conn->pgconn, query);
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}
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else {
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Py_BLOCK_THREADS;
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curs->pgres = psyco_exec_green(curs->conn, query);
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Py_UNBLOCK_THREADS;
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}
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/* don't let pgres = NULL go to pq_fetch() */
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if (curs->pgres == NULL) {
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if (CONNECTION_BAD == PQstatus(curs->conn->pgconn)) {
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curs->conn->closed = 2;
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}
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_BLOCK_THREADS;
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if (!PyErr_Occurred()) {
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PyErr_SetString(OperationalError,
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PQerrorMessage(curs->conn->pgconn));
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}
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return -1;
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}
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/* Process notifies here instead of when fetching the tuple as we are
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* into the same critical section that received the data. Without this
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* care, reading notifies may disrupt other thread communications.
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* (as in ticket #55). */
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Py_BLOCK_THREADS;
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conn_notifies_process(curs->conn);
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conn_notice_process(curs->conn);
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Py_UNBLOCK_THREADS;
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_END_ALLOW_THREADS;
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/* if the execute was sync, we call pq_fetch() immediately,
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to respect the old DBAPI-2.0 compatible behaviour */
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Dprintf("pq_execute: entering synchronous DBAPI compatibility mode");
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if (pq_fetch(curs, no_result) < 0) return -1;
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return 1;
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}
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RAISES_NEG int
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_pq_execute_async(cursorObject *curs, const char *query, int no_result, int no_begin)
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{
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PGresult *pgres = NULL;
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char *error = NULL;
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int async_status = ASYNC_WRITE;
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int ret;
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CLEARPGRES(curs->pgres);
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Py_BEGIN_ALLOW_THREADS;
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pthread_mutex_lock(&(curs->conn->lock));
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/* TODO: is this needed here? */
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if (!no_begin && pq_begin_locked(curs->conn, &pgres, &error, &_save) < 0) {
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_BLOCK_THREADS;
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pq_complete_error(curs->conn, &pgres, &error);
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return -1;
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}
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Dprintf("pq_execute: executing ASYNC query: pgconn = %p", curs->conn->pgconn);
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Dprintf(" %-.200s", query);
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if (PQsendQuery(curs->conn->pgconn, query) == 0) {
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if (CONNECTION_BAD == PQstatus(curs->conn->pgconn)) {
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curs->conn->closed = 2;
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}
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_BLOCK_THREADS;
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PyErr_SetString(OperationalError,
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PQerrorMessage(curs->conn->pgconn));
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return -1;
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}
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Dprintf("pq_execute: async query sent to backend");
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ret = PQflush(curs->conn->pgconn);
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if (ret == 0) {
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/* the query got fully sent to the server */
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Dprintf("pq_execute: query got flushed immediately");
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/* the async status will be ASYNC_READ */
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async_status = ASYNC_READ;
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}
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else if (ret == 1) {
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/* not all of the query got sent to the server */
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async_status = ASYNC_WRITE;
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}
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else {
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/* there was an error */
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_BLOCK_THREADS;
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PyErr_SetString(OperationalError,
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PQerrorMessage(curs->conn->pgconn));
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return -1;
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}
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_END_ALLOW_THREADS;
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curs->conn->async_status = async_status;
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if (!(curs->conn->async_cursor
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= PyWeakref_NewRef((PyObject *)curs, NULL))) {
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return -1;
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}
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return 0;
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}
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RAISES_NEG int
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pq_execute(cursorObject *curs, const char *query, int async, int no_result, int no_begin)
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{
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/* if the status of the connection is critical raise an exception and
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definitely close the connection */
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if (curs->conn->critical) {
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@ -1016,115 +1144,14 @@ pq_execute(cursorObject *curs, const char *query, int async, int no_result, int
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}
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Dprintf("pq_execute: pg connection at %p OK", curs->conn->pgconn);
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CLEARPGRES(curs->pgres);
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Py_BEGIN_ALLOW_THREADS;
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pthread_mutex_lock(&(curs->conn->lock));
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if (!no_begin && pq_begin_locked(curs->conn, &pgres, &error, &_save) < 0) {
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_BLOCK_THREADS;
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pq_complete_error(curs->conn, &pgres, &error);
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return -1;
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if (!async) {
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return _pq_execute_sync(curs, query, no_result, no_begin);
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} else {
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return _pq_execute_async(curs, query, no_result, no_begin);
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}
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if (async == 0) {
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Dprintf("pq_execute: executing SYNC query: pgconn = %p", curs->conn->pgconn);
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Dprintf(" %-.200s", query);
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if (!psyco_green()) {
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curs->pgres = PQexec(curs->conn->pgconn, query);
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}
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else {
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Py_BLOCK_THREADS;
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curs->pgres = psyco_exec_green(curs->conn, query);
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Py_UNBLOCK_THREADS;
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}
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/* don't let pgres = NULL go to pq_fetch() */
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if (curs->pgres == NULL) {
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if (CONNECTION_BAD == PQstatus(curs->conn->pgconn)) {
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curs->conn->closed = 2;
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}
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_BLOCK_THREADS;
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if (!PyErr_Occurred()) {
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PyErr_SetString(OperationalError,
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PQerrorMessage(curs->conn->pgconn));
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}
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return -1;
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}
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/* Process notifies here instead of when fetching the tuple as we are
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* into the same critical section that received the data. Without this
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* care, reading notifies may disrupt other thread communications.
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* (as in ticket #55). */
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Py_BLOCK_THREADS;
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conn_notifies_process(curs->conn);
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conn_notice_process(curs->conn);
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Py_UNBLOCK_THREADS;
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}
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else if (async == 1) {
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int ret;
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Dprintf("pq_execute: executing ASYNC query: pgconn = %p", curs->conn->pgconn);
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Dprintf(" %-.200s", query);
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if (PQsendQuery(curs->conn->pgconn, query) == 0) {
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if (CONNECTION_BAD == PQstatus(curs->conn->pgconn)) {
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curs->conn->closed = 2;
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}
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_BLOCK_THREADS;
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PyErr_SetString(OperationalError,
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PQerrorMessage(curs->conn->pgconn));
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return -1;
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}
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Dprintf("pq_execute: async query sent to backend");
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ret = PQflush(curs->conn->pgconn);
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if (ret == 0) {
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/* the query got fully sent to the server */
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Dprintf("pq_execute: query got flushed immediately");
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/* the async status will be ASYNC_READ */
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async_status = ASYNC_READ;
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}
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else if (ret == 1) {
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/* not all of the query got sent to the server */
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async_status = ASYNC_WRITE;
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}
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else {
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/* there was an error */
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_BLOCK_THREADS;
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PyErr_SetString(OperationalError,
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PQerrorMessage(curs->conn->pgconn));
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return -1;
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}
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}
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pthread_mutex_unlock(&(curs->conn->lock));
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Py_END_ALLOW_THREADS;
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/* if the execute was sync, we call pq_fetch() immediately,
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to respect the old DBAPI-2.0 compatible behaviour */
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if (async == 0) {
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Dprintf("pq_execute: entering synchronous DBAPI compatibility mode");
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if (pq_fetch(curs, no_result) < 0) return -1;
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}
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else {
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PyObject *tmp;
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curs->conn->async_status = async_status;
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curs->conn->async_cursor = tmp = PyWeakref_NewRef((PyObject *)curs, NULL);
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if (!tmp) {
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/* weakref creation failed */
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return -1;
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}
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}
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return 1-async;
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}
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/* send an async query to the backend.
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*
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* Return 1 if command succeeded, else 0.
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