On 2006-09-20 19:10, Bill Moran wrote:
> In response to Birger Blixt

> The problem is that depending on your data and usage of the database,
> YMMV.  Optimizations that work for one person might not benefit
> another.
> 
> For example: adding indexes _usually_ speeds query performance, but
> it also _usually_ slows insert/update performance, because every change
> to the table has to update all the indexes.
> 
> If you're interested in very fast backups and rarely do restores, it
> might be a bad idea to add any indexes to improve looks in the database
> if it slows down the updates.  On the other hand, if getting at your
> data quickly is important, it might be worth slower backups to be
> able to search the data quickly.
> 
> People who have lots of jobs vs. folks with only a few jobs.  A few
> large files vs. lots of small files.  One big server vs. many servers.
> 
> Each of these scenarios will distribute the data differently in the
> database, and cause different optimizations to be worthwhile.
> Additionally, the hardware on which the DB runs makes a difference:
> fast disk and low RAM vs. lots of RAM and slow disks.
> 
> I recommend trying out indexes.  It's pretty simple to remove them
> if they don't work out.  But don't forget to test backup performance
> as well, since adding an index may speed dbcheck, but hurt your
> backup speed.
> 

Yes, correct , but in my case as an Ex: legato admin, that got my
backup servers and tape silo outsourced :-( , I use bacula for
test environment , and things we will keep in house, like firewall
logs and our network install server for all current linux dists.

One day we maybe have a "business case" for a new backup system, and
at that time I can present a ready to use bacula system I hope.

So, it must be optimal for a demo restore :-),
nobody cares what it's doing at night, except our network police.

The day we crash a raid volume , it's easy to add
any index while we fix the hardware, so it can be optimal for
backup, and optimal for restore on request.

I use disk spool, so the database inserts will come in clusters,
so it's easy to identify problems in case of to many indexes.

At home is a different story, where I only have a slow DLT 4000 drive,
and it's make no big difference how fast mysql is.

Look at the result after my dbcheck :-)
http://www.norsborg.net/bacula/report.php?default=1&server=BackupCatalog

/birger


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