lvs-users
|
To: | "LinuxVirtualServer.org users mailing list." <lvs-users@xxxxxxxxxxxxxxxxxxxxxx> |
---|---|
Subject: | [OT] Re: Loadbalancing Datbases - mysql |
From: | Nigel Hamilton <nigel@xxxxxxxxxxx> |
Date: | Mon, 18 Apr 2005 05:28:20 -0500 (CDT) |
Now it looks that there will be a solution for that. I found a thread in the myslq-cluster mailing list and a link in the manual. Mysql 5.1 will be able to handle disk-based records in the cluster (see link and thread) ... and I think this will be a very nice solution (furthermore the mysql cluster code is more stable and more tested). Thread: http://forums.mysql.com/read.php?25,20801,20801#msg-20801 Link: http://dev.mysql.com/doc/mysql/en/mysql-5-1-cluster-roadmap.html Aarrgh ... it always seems the MySQL feature I need is always N+1 versions away! :-) Certainly the RAM requirements of the initial MySQL Cluster design makes it unworkable for me so a hybrid RAM + disk-based system is welcome news. We have a slightly unusual situation in that our writes may equal or exceed reads - I was planning on using "memcached" to help with handing off as many reads as possible to a distributed RAM bucket. But I'm still thinking of ways to distribute writes - ideally at the application level all I need is a database handle that connects to one big high speed amorphous distributed DB. My current short term solution to distributing writes is to use a MySQL heap/ram table on each node which acts as a bucket collecting writes which is periodically emptied to the Master's disk. But I'm not sure how far I can get with this approach. I'd be interested in hearing how others have made their MySQL-based application scale up? Nige |
<Prev in Thread] | Current Thread | [Next in Thread> |
---|---|---|
|
Previous by Date: | Loadbalancing Datbases - mysql, Matthias Mosimann |
---|---|
Next by Date: | Re: [OT] Re: Loadbalancing Datbases - mysql, Matthias Mosimann |
Previous by Thread: | Loadbalancing Datbases - mysql, Matthias Mosimann |
Next by Thread: | Re: [OT] Re: Loadbalancing Datbases - mysql, Matthias Mosimann |
Indexes: | [Date] [Thread] [Top] [All Lists] |