# Metacat: Metadata and Data Management Server

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# 8. Metacat Indexing

Metacat v2.1 introduces support for building a SOLR index of Metacat content. While we continue to support the “pathquery” search mechanism, this will be phased out in favor of the more efficient SOLR query interface.

Metacat deployments that opt to use the Metacat SOLR index will be able to take advantage of:

- fast search performance
- built-in paging features
- customizable return formats (for advanced admins)

## 8.1. Indexed documents and fields

Metacat integrates the existing DataONE index library which includes many common metadata formats out-of-the-box:

1. EML
2. FGDC
3. Dryad*

## 8.2. Default indexed fields

For a complete listing of the indexed fields, please see the DataONE documentation.

http://mule1.dataone.org/ArchitectureDocs-current/design/SearchMetadata.html

Metacat also reports on the currently-indexed fields, simply navigate to:

http://mule1.dataone.org/ArchitectureDocs-current/apis/MN_APIs.html#MNQuery.getQueryEngineDescription

with “solr” as the engine.

## 8.3. Index configuration

Metacat-index is deployed as a separate web application (metacat-index.war) and should be deployed as a sibling of the Metacat webapp (metacat.war). Deploying metacat-index.war is only required when SOLR support is desired (e.g., for MetacatUI) and can safely be omitted if it will not be utilized for any given Metacat deployment.

During the initial installation/upgrade, an empty index will be initialized in the configured “solr-home” location. Metacat-index will index all the existing Metacat content when the webapp next initializes. Note: the configured solr-home directory should not exist before configuring Metacat with indexing for the first time, otherwise the blank index will not be created for metacat-index to utilize.

Additional advanced configuration options are available in the metacat.properties file (shared between Metacat and Metacat-index).

## 8.4. Adding additional document types and fields

TBD: Step-by-step guide for adding new documents and indexed fields.

## 8.5. Querying the index

The SOLR index can be queried using standard SOLR syntax and return options. The DataONE query interface exposes the SOLR query engine.

http://mule1.dataone.org/ArchitectureDocs-current/apis/MN_APIs.html#MNQuery.query

Please see the SOLR documentation for examples and exhaustive syntax information.

http://lucene.apache.org/solr/

## 8.6. Access Policy enforcement

Access control is enforced by the index such that only records that are readable by the user performing the query are returned to the user. Any SOLR query submitted will be augmented with access control criteria corresponding to if and how the user is currently authenticated. Both certificate-based (DataONE API) and JSESSIONID-based (Metacat API) authentication are simultaneously supported.

## 8.7. Regenerating the index from scratch

When the SOLR index has been drastically modified, a complete regeneration of the index may be necessary. In order to accomplish this:

Step-by-step instructions:

1. Entirely remove the solr-home directory
2. Step through the Metacat admin interface main properties screen, specifying the solr-home directory you wish to use
3. Restart the webapp container (Tomcat).

Content can also be submitted for index regeneration by using the the Metacat API:

1. Login as the Metacat administrator
2. Navigate to: <host>/<metacat_context>/metacat?action=reindex[&pid={pid}]
3. If the pid parameter is omitted, all objects in Metacat will be submitted for reindexing.

## 8.8. Class design overview

Figure 1. Class design overview.