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Merge branch 'iter-named-cursor' into python2
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commit
c97fa1c476
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NEWS-2.3
1
NEWS-2.3
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@ -5,6 +5,7 @@ What's new in psycopg 2.3.3
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- Added `register_composite()` function to cast PostgreSQL composite types
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into Python tuples/namedtuples.
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- More efficient iteration on named cursors.
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- The build script refuses to guess values if pg_config is not found.
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- Connections and cursors are weakly referenceable.
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@ -208,6 +208,11 @@ The ``cursor`` class
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(2, None, 'dada')
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(3, 42, 'bar')
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.. versionchanged:: 2.3.3
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iterating over a :ref:`named cursor <server-side-cursors>`
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fetches `~cursor.arraysize` records at time from the backend.
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Previously only one record was fetched per roundtrip, resulting
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in unefficient iteration.
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.. method:: fetchone()
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@ -300,6 +305,18 @@ The ``cursor`` class
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This read/write attribute specifies the number of rows to fetch at a
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time with `~cursor.fetchmany()`. It defaults to 1 meaning to fetch
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a single row at a time.
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The attribute is also used when iterating a :ref:`named cursor
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<server-side-cursors>`: when syntax such as ``for i in cursor:`` is
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used, in order to avoid an excessive number of network roundtrips, the
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cursor will actually fetch `!arraysize` records at time from the
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backend. For this task the default value of 1 is a poor value: if
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`!arraysize` is 1, a default value of 2000 will be used instead. If
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you really want to retrieve one record at time from the backend use
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`fetchone()` in a loop.
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.. versionchanged:: 2.3.3
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`!arraysize` used in named cursor iteration.
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.. attribute:: rowcount
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@ -799,6 +799,61 @@ psyco_curs_fetchone(cursorObject *self, PyObject *args)
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return res;
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}
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/* Efficient cursor.next() implementation for named cursors.
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*
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* Fetch several records at time. Return NULL when the cursor is exhausted.
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*/
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static PyObject *
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psyco_curs_next_named(cursorObject *self)
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{
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PyObject *res;
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Dprintf("psyco_curs_next_named");
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EXC_IF_CURS_CLOSED(self);
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EXC_IF_ASYNC_IN_PROGRESS(self, next);
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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_MARK(self);
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EXC_IF_TPC_PREPARED(self->conn, next);
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Dprintf("psyco_curs_next_named: row %ld", self->row);
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Dprintf("psyco_curs_next_named: rowcount = %ld", self->rowcount);
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if (self->row >= self->rowcount) {
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char buffer[128];
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/* fetch 'arraysize' records, but shun the default value of 1 */
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long int size = self->arraysize;
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if (size == 1) { size = 2000L; }
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PyOS_snprintf(buffer, 127, "FETCH FORWARD %ld FROM %s",
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size, self->name);
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if (pq_execute(self, buffer, 0) == -1) return NULL;
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if (_psyco_curs_prefetch(self) < 0) return NULL;
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}
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/* We exhausted the data: return NULL to stop iteration. */
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if (self->row >= self->rowcount) {
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return NULL;
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}
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if (self->tuple_factory == Py_None)
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res = _psyco_curs_buildrow(self, self->row);
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else
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res = _psyco_curs_buildrow_with_factory(self, self->row);
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self->row++; /* move the counter to next line */
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/* if the query was async aggresively free pgres, to allow
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successive requests to reallocate it */
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if (self->row >= self->rowcount
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&& self->conn->async_cursor
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&& PyWeakref_GetObject(self->conn->async_cursor) == (PyObject*)self)
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IFCLEARPGRES(self->pgres);
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return res;
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}
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/* fetch many - fetch some results */
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@ -1510,14 +1565,20 @@ cursor_next(PyObject *self)
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{
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PyObject *res;
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/* we don't parse arguments: psyco_curs_fetchone will do that for us */
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res = psyco_curs_fetchone((cursorObject*)self, NULL);
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if (NULL == ((cursorObject*)self)->name) {
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/* we don't parse arguments: psyco_curs_fetchone will do that for us */
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res = psyco_curs_fetchone((cursorObject*)self, NULL);
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/* convert a None to NULL to signal the end of iteration */
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if (res && res == Py_None) {
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Py_DECREF(res);
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res = NULL;
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/* convert a None to NULL to signal the end of iteration */
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if (res && res == Py_None) {
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Py_DECREF(res);
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res = NULL;
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}
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}
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else {
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res = psyco_curs_next_named((cursorObject*)self);
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}
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return res;
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}
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@ -22,6 +22,7 @@
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# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
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# License for more details.
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import time
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import unittest
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import psycopg2
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import psycopg2.extensions
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@ -128,6 +129,34 @@ class CursorTests(unittest.TestCase):
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del curs
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self.assert_(w() is None)
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def test_iter_named_cursor_efficient(self):
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curs = self.conn.cursor('tmp')
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# if these records are fetched in the same roundtrip their
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# timestamp will not be influenced by the pause in Python world.
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curs.execute("""select clock_timestamp() from generate_series(1,2)""")
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i = iter(curs)
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t1 = i.next()[0]
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time.sleep(0.2)
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t2 = i.next()[0]
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self.assert_((t2 - t1).microseconds * 1e-6 < 0.1,
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"named cursor records fetched in 2 roundtrips (delta: %s)"
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% (t2 - t1))
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def test_iter_named_cursor_default_arraysize(self):
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curs = self.conn.cursor('tmp')
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curs.execute('select generate_series(1,50)')
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rv = [ (r[0], curs.rownumber) for r in curs ]
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# everything swallowed in one gulp
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self.assertEqual(rv, [(i,i) for i in range(1,51)])
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def test_iter_named_cursor_arraysize(self):
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curs = self.conn.cursor('tmp')
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curs.arraysize = 30
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curs.execute('select generate_series(1,50)')
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rv = [ (r[0], curs.rownumber) for r in curs ]
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# everything swallowed in two gulps
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self.assertEqual(rv, [(i,((i - 1) % 30) + 1) for i in range(1,51)])
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def test_suite():
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return unittest.TestLoader().loadTestsFromName(__name__)
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