There are scripts out there such at the Maatkit mk-parallel-dump/restore that can speed up this process by running in parallel.
However if you're doing this every week on that large of a dataset, I'd just use filesystem snapshots. You're backup/restore would then only take as long as it takes for you to scp the database from one machine to another.
From: Madison Kelly [mailto:linux@strippedom]
Sent: Wednesday, December 16, 2009 12:56 PM
Subject: Importing large databases faster
I've got a fairly large set of databases I'm backing up each Friday. The
dump takes about 12.5h to finish, generating a ~172 GB file. When I try
to load it though, *after* manually dumping the old databases, it takes
1.5~2 days to load the same databases. I am guessing this is, at least
in part, due to indexing.
My question is; Given an empty target DB and a dump file generated via:
ssh root@server "mysqldump --all-databases -psecret" > /path/to/backup.sql
How can I go about efficiently loading it into a new database?
Specifically, can I disable triggers, indexes and what not until after
load finishes? I can only imagine that a single "ok, go create your
indexes now" at the end would be faster. Perhaps some way to hold off
commits from happening as often? The target server has 32Gb of RAM, so I
suspect I should be able to hold things in memory and commit to disk
I am currently loading via this command:
mysql -psecret < /path/to/backup.sql
The source and destination MySQL versions are:
mysql Ver 14.13 Distrib 5.1.19-beta, for unknown-linux-gnu (x86_64)
using readline 5.0
mysql Ver 14.12 Distrib 5.0.77, for redhat-linux-gnu (x86_64) using
The reason for the discrepancy is that the old server was setup from
source on CentOS 4.x by a previous tech and the destination server is
the stock version from CentOS 5.x. The source server will be phased out
soon, so no real attempt at maintaining matching versions was done.
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