提交 cda598e1 编写于 作者: B Bruce Momjian

Move item to proper section:

< * 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.
<
> * 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.
上级 012786aa
PostgreSQL TODO List
====================
Current maintainer: Bruce Momjian (bruce@momjian.us)
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.
......@@ -1232,14 +1232,6 @@ Startup Time Improvements
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
......@@ -1391,6 +1383,13 @@ Miscellaneous Performance
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
......
......@@ -8,7 +8,7 @@
<body bgcolor="#FFFFFF" text="#000000" link="#FF0000" vlink="#A00000" alink="#0000FF">
<h1><a name="section_1">PostgreSQL TODO List</a></h1>
<p>Current maintainer: Bruce Momjian (<a href="mailto:bruce@momjian.us">bruce@momjian.us</a>)<br/>
Last updated: Sun Dec 16 20:40:44 EST 2007
Last updated: Fri Dec 21 16:20:21 EST 2007
</p>
<p>The most recent version of this document can be viewed at<br/>
<a href="http://www.postgresql.org/docs/faqs.TODO.html">http://www.postgresql.org/docs/faqs.TODO.html</a>.
......@@ -1090,13 +1090,6 @@ first. There is also a developer's wiki at<br/>
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.
</p>
</li><li>Experiment with multi-threaded backend better resource utilization
<p> 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.
</p>
</li><li>Add connection pooling
<p> It is unclear if this should be done inside the backend code or done
......@@ -1230,6 +1223,13 @@ first. There is also a developer's wiki at<br/>
</p>
</li><li>Consider reducing memory used for shared buffer reference count
<p> <a href="http://archives.postgresql.org/pgsql-hackers/2007-01/msg00752.php">http://archives.postgresql.org/pgsql-hackers/2007-01/msg00752.php</a>
</p>
</li><li>Experiment with multi-threaded backend better resource utilization
<p> 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.
</p>
</li></ul>
<h1><a name="section_19">Source Code</a></h1>
......
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