Re: Hardware/OS recommendations for large databases

Yes - that very benchmark shows that for a MySQL Datadrive in RAID 10,
the 3ware controllers beat the Areca card.

Alex.

On 11/16/05, Ron <rjpeace(at)earthlink(dot)net> wrote:
> Got some hard numbers to back your statement up? IME, the Areca
> 1160's with >= 1GB of cache beat any other commodity RAID
> controller. This seems to be in agreement with at least one
> independent testing source:
>
> http://print.tweakers.net/?reviews/557
>
> RAID HW from Xyratex, Engino, or Dot Hill will _destroy_ any
> commodity HW solution, but their price point is considerably higher.
>
> ...on another note, I completely agree with the poster who says we
> need more cache on RAID controllers. We should all be beating on the
> RAID HW manufacturers to use standard DIMMs for their caches and to
> provide 2 standard DIMM slots in their full height cards (allowing
> for up to 8GB of cache using 2 4GB DIMMs as of this writing).
>
> It should also be noted that 64 drive chassis' are going to become
> possible once 2.5" 10Krpm SATA II and FC HDs become the standard next
> year (48's are the TOTL now). We need controller technology to keep up.
>
> Ron
>
> At 12:16 AM 11/16/2005, Alex Turner wrote:
> >Not at random access in RAID 10 they aren't, and anyone with their
> >head screwed on right is using RAID 10. The 9500S will still beat the
> >Areca cards at RAID 10 database access patern.
> >
> >Alex.
> >
> >On 11/15/05, Dave Cramer <pg(at)fastcrypt(dot)com> wrote:
> > > Luke,
> > >
> > > Have you tried the areca cards, they are slightly faster yet.
> > >
> > > Dave
> > >
> > > On 15-Nov-05, at 7:09 AM, Luke Lonergan wrote:
> > >
> > >
> > >
> > >
> > >
> > > I agree - you can get a very good one from www.acmemicro.com or
> > >
> > > www.rackable.com with 8x 400GB SATA disks and the new 3Ware 9550SX SATA
> > >
> > > RAID controller for about $6K with two Opteron 272 CPUs and 8GB of RAM
> > >
> > > on a Tyan 2882 motherboard. We get about 400MB/s sustained disk read
> > >
> > > performance on these (with tuning) on Linux using the xfs filesystem,
> > >
> > > which is one of the most critical factors for large databases.
> > >
> > >
> > >
> > >
> > > Note that you want to have your DBMS use all of the CPU and disk channel
> > >
> > > bandwidth you have on each query, which takes a parallel database like
> > >
> > > Bizgres MPP to achieve.
> > >
> > >
> > >
> > >
> > > Regards,
> > >
> >
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>
>
>
>