PostgreSQL TODO List
====================
-Last updated: Sun Dec 16 20:40:44 EST 2007
+Last updated: Fri Dec 21 16:20:21 EST 2007
The most recent version of this document can be viewed at
http://www.postgresql.org/docs/faqs.TODO.html.
Solaris) might benefit from threading. Also explore the idea of
a single session using multiple threads to execute a statement faster.
-* Experiment with multi-threaded backend better resource utilization
-
- This would allow a single query to make use of multiple CPU's or
- multiple I/O channels simultaneously. One idea is to create a
- background reader that can pre-fetch sequential and index scan
- pages needed by other backends. This could be expanded to allow
- concurrent reads from multiple devices in a partitioned table.
-
* Add connection pooling
It is unclear if this should be done inside the backend code or done
http://archives.postgresql.org/pgsql-hackers/2007-01/msg00752.php
+* Experiment with multi-threaded backend better resource utilization
+
+ This would allow a single query to make use of multiple CPU's or
+ multiple I/O channels simultaneously. One idea is to create a
+ background reader that can pre-fetch sequential and index scan
+ pages needed by other backends. This could be expanded to allow
+ concurrent reads from multiple devices in a partitioned table.
Source Code
-Last updated: Sun Dec 16 20:40:44 EST 2007
+Last updated: Fri Dec 21 16:20:21 EST 2007
The most recent version of this document can be viewed at
database startup overhead, but a few operating systems (Win32,
Solaris) might benefit from threading. Also explore the idea of
a single session using multiple threads to execute a statement faster.
-
-
Experiment with multi-threaded backend better resource utilization
-
This would allow a single query to make use of multiple CPU's or
- multiple I/O channels simultaneously. One idea is to create a
- background reader that can pre-fetch sequential and index scan
- pages needed by other backends. This could be expanded to allow
- concurrent reads from multiple devices in a partitioned table.
Add connection pooling
It is unclear if this should be done inside the backend code or done
Consider reducing memory used for shared buffer reference count
+
+
Experiment with multi-threaded backend better resource utilization
+
This would allow a single query to make use of multiple CPU's or
+ multiple I/O channels simultaneously. One idea is to create a
+ background reader that can pre-fetch sequential and index scan
+ pages needed by other backends. This could be expanded to allow
+ concurrent reads from multiple devices in a partitioned table.