Shure, load data is way faster than full inserts. I was thinking:
while $warnings -lt 100% do dump ora-data | mysql database done swap IP-addr. On Mon, July 23, 2007 19:59, B. Keith Murphy wrote: > I think you will find the load data infile will work faster. I am performing > testing right now in > preparation for a migration from 4.1 to 5.0 but I am confident that will be > the case. > > Keith > ----- Original Message ----- > From: "Sid Lane" < [EMAIL PROTECTED] > > To: mysql@lists.mysql.com > Sent: Monday, July 23, 2007 1:44:53 PM (GMT-0500) America/New_York > Subject: performance of extended insert vs. load data > > all, > > I need to migrate ~12GB of data from an Oracle 10 database to a MySQL > 5.0one in as short a window as practically possible (throw tablespace > in r/o, > migrate data & repoint web servers - every minute counts). > > the two approaches I am considering are: > > 1. write a program that outputs the Oracle data to a fifo pipe (mknod) and > running a "load data infile" against it > > 2. write a program that dynamically builds extended insert statements up to > length of max_allowed_packet (similar to mysqldump -e) > > is either one significantly faster than the other? I know I could benchmark > it but I was hoping someone could save me writing #2 to find out if it's not > the way to go... > > are there additional (faster) approaches I have not thought of? > > FWIW these are 95% innodb (5% myisam are static reference tables & can be > done in advance). > > thanks! > > > -- > B. Keith Murphy > Database Administrator > iContact > 2635 Meridian Parkway, 2nd Floor > Durham, North Carolina 27713 > (o) 919-433-0786 > (c) 850-637-3877 > -- > This message has been scanned for viruses and > dangerous content by MailScanner, and is > believed to be clean. > > -- Later Mogens Melander +45 40 85 71 38 +66 870 133 224 -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean. -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe: http://lists.mysql.com/[EMAIL PROTECTED]
