Database Setup: Difference between revisions
From MusicBrainz Wiki
Jump to navigationJump to search
(Remove links to outdated content; restructure to clarify the difference between standalone download and full install with replication) |
No edit summary |
||
Line 5: | Line 5: | ||
The database can be [[Database Download|downloaded]] standalone from the MusicBrainz website. To setup your own fresh copy of the database, and import the data, see the relevant section of the [http://github.com/metabrainz/musicbrainz-server/blob/master/INSTALL the INSTALL guide]. |
The database can be [[Database Download|downloaded]] standalone from the MusicBrainz website. To setup your own fresh copy of the database, and import the data, see the relevant section of the [http://github.com/metabrainz/musicbrainz-server/blob/master/INSTALL the INSTALL guide]. |
||
== Replication == |
|||
If you are interested in keeping the data in sync with MusicBrainz using our [[Live Data Feed|live data feed]], you may consider |
If you are interested in keeping the data in sync with MusicBrainz using our [[Live Data Feed|live data feed]], you may consider |
||
* setting up a virtual machine using the official [[Server Setup]] guide |
* setting up a virtual machine using the official [[Server Setup]] guide |
Revision as of 08:47, 20 November 2011
Products > Database > Database setup
The MusicBrainz Database is an SQL database that contains all the information about artists, release groups, releases, recordings, advanced relationships (and everything else between them, but also the MusicBrainz users (editors) and the changes they entered into the database (edits). MusicBrainz currently uses PostgreSQL as its underlying database software.
The database can be downloaded standalone from the MusicBrainz website. To setup your own fresh copy of the database, and import the data, see the relevant section of the the INSTALL guide.
Replication
If you are interested in keeping the data in sync with MusicBrainz using our live data feed, you may consider
- setting up a virtual machine using the official Server Setup guide
- an alternative setup using a Python-based tool (including replication)
- setting up a mirror using MySQL with MusicBrainz MySQL