I would like to know one thing...

How to make MySQL work with Oracle and viceversa!

I'm tired of the treads that reduce technology in cases of one or another...

Cheers,
Luis Ferro

PS- What is the better tool a sand hammer or a nail hammer? answer: depend
on what you want to pound!

-----Original Message-----
From: Robert Sundstrvm [mailto:[EMAIL PROTECTED]]
Sent: quinta-feira, 13 de Dezembro de 2001 11:55
To: [EMAIL PROTECTED]
Subject: RE: MySQL v.s. Oracle


At 04:23 2001-12-02 , you wrote:
>Not sure that total users is a good metric; queries per second may be
>better.
>
>We host web sites and use MySQL with MyISAM tables for small and
>medium-sized sites, Oracle for the big ones. Oracle's row-level locking
>abilities make a big, deciding difference for the bigger, more active
sites.
>Oracle just scales much better than MySQL.
>
>Big downside of Oracle is the price, which is why we use it for just the
big
>boys. Costs too much to install on all our servers.
>
>I'm currently evaluating Berkeley and InnoDB tables to see how they compare
>to Oracle. If they compare well then we may be using'em in place of Oracle
>for most sites.

I have done some admittedly not-so-scientific testing on MySQL (both with
MyISAM and InnoDB) to find that both combinations performs best in single
user systems. The test I run made about 50% updates/inserts and about 50%
queries, with medium sized transactions (3-5 statements per transaction,
where transactions was supported). On my regular desktop box I was able to
get about 700 statements per second using MyISAM and about two thirds of
that using InnoDB. Already at 2 simultaneous users (doing the same
transactions) total throughput was less than for the single user case.

Most stable commercial products exposes the opposite behavior. It may be
the case that MySQL performs pretty well in single (or few) user cases, but
the commercial alternatives will, in my experience, in most cases beat
MySQL on 3-5 users and above.

It is also the case that most commercial products supports better
optimization methods than MySQL. Two important things are caching statement
compilations at the server and stored procedures. If I have a performance
problem in my database it is often the case that I can improve things by
putting some SQL-code in a stored procedure.


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