This repository includes schema definitions for several Solr cores - 1 for each entity type in MusicBrainz. The Solr Reference Guide contains more information about how these work.
Note that this repository uses the core discovery mechanism of Solr 5. It will not work with all versions of Solr 4.
To run a Solr server with the cores definied in this repository, you first need
to install
the MusicBrainz QueryResponseWriter
and place the resulting file called
mb-solr-0.0.1-SNAPSHOT-jar-with-dependencies.jar into the mbsssss/lib
folder, which is configured as the Solr server's sharedLib folder.
If you haven't already, download Solr from its website and extract the archive.
You will now have a solr-x.x.x folder (where x.x.x is Solrs version number).
Inside this folder, there's a bin
folder containing scripts to start a Solr
server. You can use those to start a Solr server which knows the cores in this
repository with the following command:
/path/to/solr-x.x.x/bin/solr -f -s /path/to/this/repository
Defining a new core requires following these steps:
- Create a config directory for it, based on the template directory
(
cp -r _template $corename && mv $corename/_conf $corename/conf
) - Create an empty
core.properties
file in the cores directory (touch $corename/core.properties
). - Symlink the
fieldtypes.xml
file from thecommon
folder into the new configuration folder (pushd $corename/conf && ln -s ../../common/fieldtypes.xml . && popd
). This file includes the fieldtype definitions that all cores have in common. - Edit the
solrconfig.xml
andschema.xml
file in the configuration folder according to your needs.
The file searchfields.py
is a script that generates Mediawiki tables to
document the cores and all their search fields. Simply running it like
python searchfields.py
prints that markup to standard output. You can either redirect it to a file:
python searchfields.py > searchfields.txt
or copy it directly to the clipboard:
python searchfields.py | xclip
To insure that the XML files are properly indented, use tidy.
If you are on Ubuntu, simply install tidy via
sudo apt-get install tidy
To use it, run
tidy -xml -im -w 120 **xml