On Sun, Sep 11, 2011 at 5:22 PM, Maciek Sakrejda wrote:
> performance guidelines, I recommend Greg Smith's "PostgreSQL 9.0 High
> Performance" [1] (disclaimer: I used to work with Greg and got a free
> copy)
>
> I'll second that. "PostgreSQL 9.0 High Performance" is an excellent
resource
(I recom
Sorry, meant to send this to the list.
For really big data-warehousing, this document really helped us:
http://pgexperts.com/document.html?id=49
On Sun, Sep 11, 2011 at 1:36 PM, Ogden wrote:
> As someone who migrated a RAID 5 installation to RAID 10, I am getting far
> better read and write performance on heavy calculation queries. Writing on
> the RAID 5 really made things crawl. For lots of writing, I think RAID 10 is
> the best. It sho
On Wed, Aug 17, 2011 at 1:55 PM, Ogden wrote:
>
>
> What about the OS itself? I put the Debian linux sysem also on XFS but
> haven't played around with it too much. Is it better to put the OS itself on
> ext4 and the /var/lib/pgsql partition on XFS?
>
>
We've always put the OS on whatever default
On Mon, Apr 25, 2011 at 10:04 PM, Rob Wultsch wrote:
> Tip from someone that manages thousands of MySQL servers: Use InnoDB
> when using MySQL.
Granted, my knowledge of PostgreSQL (and even MSSQL) far surpasses my
knowledge of MySQL, but if InnoDB has such amazing benefits as being
crash safe, an
Not sure if this is the right list...but:
Disclaimer: I realize this is comparing apples to oranges. I'm not
trying to start a database flame-war. I just want to say thanks to
the PostgreSQL developers who make my life easier.
I manage thousands of databases (PostgreSQL, SQL Server, and MySQL)
On Thu, Apr 21, 2011 at 3:04 PM, Scott Marlowe wrote:
> Just because you've been walking around with a gun pointing at your
> head without it going off does not mean walking around with a gun
> pointing at your head is a good idea.
+1
--
Sent via pgsql-performance mailing list (pgsql-performanc
On Thu, Mar 17, 2011 at 10:13 AM, Jeff wrote:
> hey folks,
>
> Running into some odd performance issues between a few of our db boxes.
We've noticed similar results both in OLTP and data warehousing conditions here.
Opteron machines just seem to lag behind *especially* in data
warehousing. Smal
Odds are that a table of 14 rows will more likely be cached in RAM
than a table of 14 million rows. PostgreSQL would certainly be more
"openminded" to using an index if chances are low that the table is
cached. If the table *is* cached, though, what point would there be
in reading an index?
Also
2010/2/1 :
> * joke 1: insert operation would use a excluse lock on reference row by the
> foreign key . a big big big performance killer , i think this is a stupid
> design .
>
> * joke 2: concurrency update on same row would lead to that other
> transaction must wait the earlier transaction comp
There are a few things you didn't mention...
First off, what is the context this database is being used in? Is it the
backend for a web server? Data warehouse? Etc?
Second, you didn't mention the use of indexes. Do you have any indexes on
the table in question, and if so, does EXPLAIN ANALYZE
11 matches
Mail list logo