On Friday 05 April 2002 11:32, Steve Rapaport wrote:
> I'm currently running MySQL for a big, fast app without
> problems.  BUT:
>
> I'm in the middle of specifying a new application with a high
> load, and I'm consideing looking for alternatives to MySQL
> because without InnoDB, it gets really slow on tables
> with frequent updates and reads (no row locking).
>
> We have, for example, a session table that records
> all the incoming requests for holding state.  Since
> it's constantly being updated and read, it is frequently
> locked, and there are often instances where 50 reads
> will stack up while a lock is held.  This slows down
> the whole database.

Only if you insist on locking your tables. If you're talking about a webapp, 
Apache only really will be servicing 1 request at a time, generally. I have 
yet to be forced to lock my session table. Maybe you rely too much on this 
one table? Also you might try using a HEAP table for session state. Its much 
much faster if you can afford the memory (but again, keep your session state 
small and simple!). 

>
> With InnoDB, I'm sure this problem goes away, but as soon as we
> go to InnoDB, we have to pay for backups and support,
> which means we start looking around at 'pay' solutions.

I guess I don't understand why you see InnoDB as being "more expensive" than 
using standard myisam. Its just a table handler, there are not that many 
fundamental differences in how things work, and 99% of the existing MySQL 
infrastructure works fine with any table type. Backups are pretty basically 
the same as ever, just back up the tablespaces! Admittedly they use the disk 
a bit different, but it has caused us no real problems.
>
> Is there something I'm missing?
>
> Steve
>
> >> However, my impression is that while the answer, for the very highest
> >> volumes, is that Oracle is better, the point at which Oracle
> >> betters MySQL
> >> is *much* higher than doubters might think. So, if anybody
> >> give the reply
> >> that Oracle is best at the high end, please could they also
> >> try to quantify
> >> the point at which MySQL begins to run out of steam - and
> >> what it is it
> >> can't do and Oracle can at that point. (For example, MySQL
> >> can handle high
> >> read loads by use of replication, but would bottleneck on
> >> high write loads
> >> - I think).
>
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