Made these changes, per my-huge.cnf. Thanks for the tip, Lars!
We should probably "officially recommend" that people use my-huge.cnf
and uncomment its InnoDB settings for big databases on big hardware.

skip-locking
key_buffer                                      = 384M # my-huge.cnf
max_allowed_packet                              = 4M   # larger packets
table_cache                                     = 512  # my-huge.cnf
sort_buffer_size                                = 2M   # my-huge.cnf
read_buffer_size                                = 2M   # my-huge.cnf
read_rnd_buffer_size                            = 8M   # my-huge.cnf
myisam_sort_buffer_size                         = 8M   # my-huge.cnf
thread_cache_size                               = 8    # my-huge.cnf
query_cache_size                                = 64M  # more cache.
thread_concurrency                              = 4    # CPU's * 2

Aaron

On Wed, 2006-10-25 at 10:29 +0200, Herr Lars Kneschke wrote:
> Aaron Stone <[EMAIL PROTECTED]> schrieb:
> >And as for InnoDB, I cranked everything up like crazy, and basically get 
> >most of my database in memory. If you have 4GB of RAM, I think it's 
> >entirely reasonable to put a gig into MySQL buffering. But, again, no 
> >hard numbers to back these up :-\ 
> 
> As one MySQL instance is only 1 process with multiple threads, you are
> limited to 2 GByte per process on 32bit systems. Only 64bit systems can use
> more than 2 GByte per process.Just a reminder of the total amount a single
> process can use on 32bit systems. To much query cache can slow down the
> system.You can simply have a look at the examples delivered with MySQL
> itself. There is a file called my-huge.cnf. On Ubuntu you can find this file
> in /usr/share/doc/mysql-server-5.0/examples/ 
> --
> Lars Kneschke
> Metaways Infosystems GmbH
> Pickhuben 4
> 20457 Hamburg
> Germany
> 
> eGroupWare Training & Support ==> http://www.egroupware-support.net
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