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memory leak if connection is closed actively by pg server
Reported by Psycopg website | February 17th, 2013 @ 02:54 AM
Submitted by: reno.gan@gmail.com
In our environment, every client connection has a max idle time. If this time expires, pg server will disconnect its connection to psycopg client. However, we found continuous memory leak during this process.
we use valgrind to check and found this:
==14690== 1,958,500 (53,680 direct, 1,904,820 indirect) bytes in 61 blocks are definitely lost in loss record 2,474 of 2,474
==14690== at 0x4C2B6CD: malloc (in /usr/lib/valgrind/vgpreload_memcheck-amd64-linux.so)
==14690== by 0x92ACD3A: ??? (in /usr/lib/libpq.so.5.4)
==14690== by 0x92B1765: PQconnectStart (in /usr/lib/libpq.so.5.4)
==14690== by 0x92B1805: PQconnectdb (in /usr/lib/libpq.so.5.4)
==14690== by 0x9085088: conn_connect (connection_int.c:538)
==14690== by 0x90864F9: connection_init (connection_type.c:1037)
==14690== by 0x4DB6A5: ??? (in /usr/bin/python2.7)
==14690== by 0x4E9F35: PyObject_Call (in /usr/bin/python2.7)
==14690== by 0x4796D7: _PyObject_CallFunction_SizeT (in /usr/bin/python2.7)
==14690== by 0x9080771: psyco_connect (psycopgmodule.c:110)
==14690== by 0x49D584: PyEval_EvalFrameEx (in /usr/bin/python2.7)
==14690== by 0x49F1BF: PyEval_EvalCodeEx (in /usr/bin/python2.7)
I searched the code and noticed that when pg server closed the connection, in "pq_raise()":
conn->closed = 2
But in "conn_close()", psycopg thinks connection is closed only by :
if (self->closed)
return;
That means if "closed == 2", the memory free function "PQfreeCancel" will never be called.
I think the reasonable judgement is:
if (self->closed == 1)
That means if connection has really been closed and memory got freed.
Comments and changes to this ticket
-
Daniele Varrazzo February 17th, 2013 @ 08:59 AM
- State changed from new to open
Thank you for the report and the analysis: we'll look into that.
-
Daniele Varrazzo March 16th, 2013 @ 03:14 PM
- State changed from open to resolved
Fixed in devel branch
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Psycopg is the most used PostgreSQL adapter for the Python programming language. At the core it fully implements the Python DB API 2.0 specifications. Several extensions allow access to many of the features offered by PostgreSQL.