Re: MySQL 4.1 cluster, help with BUILD/compile-pentium-max

2004-08-17 Thread Jeremy Zawodny
On Fri, Jul 23, 2004 at 05:37:08PM +0200, crandler wrote: > Hello, > > the following problem occurs when I want to configure MySQL 4.1: > > Building aclocal.m4 > Running autoheader to build config.hin > Running autoconf to build configure > 645046 > 644916 > Building RPC client/server files > Bui

MySQL 4.1 cluster, help with BUILD/compile-pentium-max

2004-07-23 Thread crandler
Hello, the following problem occurs when I want to configure MySQL 4.1: Building aclocal.m4 Running autoheader to build config.hin Running autoconf to build configure 645046 644916 Building RPC client/server files Building tags +++ cd innobase +++ aclocal +++ autoheader +++ aclocal +++ automake +

Re: mysql 4.1 cluster

2004-07-22 Thread Per Andreas Buer
Michael Gale <[EMAIL PROTECTED]> writes: > Anyone running mysql 4.1 with cluster support ? Try the Mysql cluster list. > Is it sort of production ready ? The 4.1 release is labeled BETA. See http://en.wikipedia.org/wiki/Development_stage -- Per Andreas Buer -- MySQL General Mailing List Fo

mysql 4.1 cluster

2004-07-22 Thread Michael Gale
Hello, Anyone running mysql 4.1 with cluster support ? Is it sort of production ready ? -- Michael Gale -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe:http://lists.mysql.com/[EMAIL PROTECTED]

Would MySQL 4.1 (Cluster) be a good solution?

2004-05-24 Thread Daniel Ek
Hi, My team and I have developed a nifty little app, which somewhat unfortunately, requires some time to process the data (15 million rows x 5 million rows x 3 million x 157 rows) when joining the queries. We have worked very hard and dedicated trying to optimize the queries as good as we can

Would MySQL 4.1 (Cluster) be a good solution?

2004-05-24 Thread Daniel Ek
Hi, My team and I have developed a nifty little app, which somewhat unfortunately, requires some time to process the data (15 million rows x 5 million rows x 3 million x 157 rows) when joining the queries. We have worked very hard and dedicated trying to optimize the queries as good as we can