On 1/24/08, Chris <[EMAIL PROTECTED]> wrote:
>
> mysql mysql wrote:
> > Thanks for the response Chris, although I can't seem to reproduce the
> > problem now, but I'm sure you're right.
> >
> > There's something else strange that I've encountered while trying to
> > optimize this query. I've got t
Nope, no difference, AFAIK.
Alex K wrote:
Any ideas pertaining this newbie question?
Thank you so much,
Hi Guys,
Is there a performance hit when joining across multiple databases as
opposed to joining multiples tables in one database? Suppose the same
tables are available across all database
mysql mysql wrote:
Thanks for the response Chris, although I can't seem to reproduce the
problem now, but I'm sure you're right.
There's something else strange that I've encountered while trying to
optimize this query. I've got two machines, dev and production. After
adding the index to the tit
Any ideas pertaining this newbie question?
Thank you so much,
> Hi Guys,
>
> Is there a performance hit when joining across multiple databases as
> opposed to joining multiples tables in one database? Suppose the same
> tables are available across all databases.
>
> Thank you,
>
> Alex
>
--
MyS
You can expect your PHP binaries to work just fine. The last major
upgrade of the client protocol was between 4.0 and 4.1, so 4.1
compatible clients can use 5.0 without trouble.
When you say: export db/import db, you must be careful about your
method. Upgrading version by moving binary data (ie.
Hi.
I've got mySQL 4.1.22 installed from sources on Linux
---
./configure --prefix=/usr/local/mysql
and PHP 4.4.2 installed from sources
---
./configure --prefix=/usr/local/php --with-mysql=/usr/local/mysql
I want to upgrade mySQL from 4.1.22 to 5.0.5 by doing:
1) export DB
2)
Luca,
In my testing I have had better throughput with RAID 10 (at least with
XFS). I have not worried about the log files so much, so you might want
to investigate that some. I would love to see benchmarks of your SAS
array though. If you have a blog you should publish them if at all
possi
Hi,
I have to install a mysql server for managing several database, from small to
quite big (tables with about 2M rows). I've got a SAS disk array and I was
wondering what the best configuration could be:
1) raid 10
2) raid 5
3) a combination (e.g., raid10 for the data and raid 5 for the logs).
Thanks Everybody for your help!
I'll think over what would be the best in my situation...
/me hoping to add a success story to this thread later
On Jan 24, 2008 3:08 PM, Matthias Witte <[EMAIL PROTECTED]> wrote:
> On Thu, Jan 24, 2008 at 01:42:38PM +0200, Ivan Levchenko wrote:
> > Hi All,
> >
>
On Thu, Jan 24, 2008 at 01:42:38PM +0200, Ivan Levchenko wrote:
> Hi All,
>
> What would be the best way to transfer a 20 gig db from one host to another?
If it consists of MyISAM tables you can do a pre rsync with everything
up and running.
Then you would lock all tables and do the real sync[1]
A binary copy will require that you shut down the db, rather than just
lock some tables for a while, which may be more desirable.
I've always found the mysql compression to be a bit weak over a slow
link. The way I tend to do this sort of thing is:
mysqldump --opt -B dbname | bzip2 -9c | ssh
do binary copy. sql dump will be slow.
Saravanan
--- On Thu, 1/24/08, Ivan Levchenko <[EMAIL PROTECTED]> wrote:
> From: Ivan Levchenko <[EMAIL PROTECTED]>
> Subject: transfer huge mysql db
> To: mysql@lists.mysql.com
> Date: Thursday, January 24, 2008, 6:12 PM
> Hi All,
>
> What would be the b
heh.. a little problem with this is that i'm going to do all of this remotely.
I was thinking on doing a mysqldump with the compress flag.
Anything to say about mysql migration tools? can it be used to do the
job more efficiently?
Its just that the db is in high use and i don't want to lock the
Hi All,
What would be the best way to transfer a 20 gig db from one host to another?
Thanks in advance for your answers!
--
Best Regards,
Ivan Levchenko
[EMAIL PROTECTED]
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John Roddy wrote:
I know that successful, data changing queries get logged in the binary log. But
is there any
> way to see the actual queries that fail (i.e. timeouts, deadlocks)?
I'm hoping there's a
> way other than using the general query log, which takes up too much
space just to catch
>
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