Mroonga search is a module for Omeka S that enables CJK-ready full-text search by activating the Mroonga plugin of MySQL or MariaDB.

The default installation of the full-text search feature of the Omeka S is not CJK (Chinese, Japanese, Korean) ready because of the limitation of the database engine (MySQL or MariaDB). The Mroonga plugin extends the database to achieve CJK-ready search. This module simply activates this plugin by modifying the table information that used by Omeka S.

First of all, back up your database. This module modifies the table schema, and that may cause unrecoverable failure.

Before installing this module, install and configure the Mroonga plugin to enable the Mroonga storage engine. For example, if you use MariaDB on Debian or Ubuntu machine, install 'mariadb-plugin-mroonga' package. Please read the official document for further information.

See the release page and download the latest MroongaSearch.zip from the list. Then unzip it in the modules directory of Omeka S, then enable the module from the admin dashboard. Read the user manual of Omeka S for further information.

Please do not forget to rename the directory from Omeka-S-mroonga-search to MroongaSearch in the modules directory.

No configuration is needed. Once installed, the database will be updated, enabling full-text search.

Simply uninstall this module to remove Mroonga settings from your database. No additional work is needed.

This module highly depends on the database structure of Omeka S 3.x. If you are upgrading Omeka S from 3.x to 4.x or later, we highly recommend you uninstall this module before upgrading.

We have not heavily tested the Mroonga engine with large-sized data yet. For an advanced full-text search, we recommend that you check the Solr module.

Currently, this module uses the default N-gram parser. MeCab or any parsers are not supported yet.

MroongaSearch module changes the storage engine of the fulltext_search table of your Omeka S instance from InnoDB to Mroonga. This enables CJK-friendly fast full-text search while it increases the size of the database.

• Enabling synonyms

Copyright (c) 2020, 2021 Kentaro Fukuchi

This module is released under the MIT License. See the LICENSE file for the details.