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Property:

search.server

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="63fdd53ffe6bf0f1-a0908538-4380416c-9a1bbaed-63fca3a59b6ccf604c8b77cd"><ac:plain-text-body><![CDATA[

Example Value:

search.server=[http://localhost:8080/solr/search]

]]></ac:plain-text-body></ac:structured-macro>

Informational Note:

Discovery relies on a SOLR index for storage and retrieval of its information. This parameter determines the location of the SOLR index.

Property:

index.ignore

Example Value:

index.ignore=dc.description.provenance,dc.language

Informational Note:

By default, Discovery will include all of the DSpace metadata in its search index. In cases where specific metadata is confidential, repository managers can include those fields by adding them to this comma separated list.

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Hierarchical (taxonomies based) sidebar facets

Hierarchical facets further extend the sidebar facet concept, each metadata field is composed of multiple nodes which are combined by a certain splitter. e.g. group::sub-group::sub-sub-groupDiscovery supports specialized drill down in hierarchically structured metadata fields. For this drill down to work, the metadata in the field for which you enable this must be composed out of terms, divided by a splitter. For example, you could have a dc.subject.taxonomy field in which you keep metadata like "CARTOGRAPHY::PHOTOGRAMMETRY", in which Cartography and Photogrammetry are both terms, divided by the splitter "::". The sidebar will only display the top level facets, when clicking on view more all the facet options will be displayed.

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<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="1a5dd2c79e90a608-63d50370-4f5b4bff-9bb88031-60ead8128ef4cd2b2bd17009"><ac:plain-text-body><![CDATA[

Command used:

[dspace]/bin/dspace update-discovery-index [-cbhf[r <item handle>]]

]]></ac:plain-text-body></ac:structured-macro>

Java class:

org.dspace.discovery.IndexClient

Arguments (short and long forms):

Description

 

called without any options, will update/clean an existing index

-b

(re)build index, wiping out current one if it exists

-c

clean existing index removing any documents that no longer exist in the db

-f

if updating existing index, force each handle to be reindexed even if uptodate

-h

print this help message

-o

optimize search core

-r <item handle>

remove an Item, Collection or Community from index based on its handle

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