The search section, you probably already guessed it, provides configuration options for the all things related to actually searching the index, setting query parameters, formatting and processing result documents and the result listing.
The query sub-section defines a few query parameters for the query that will be sent to the Solr server later on. Some query parameters are also generated and set by the extension itself, f.e. when using facets.
Default: content^40.0, title^5.0, keywords^2.0, tagsH1^5.0, tagsH2H3^3.0, tagsH4H5H6^2.0, tagsInline^1.0
Defines what fields to search in the index. Fields are defined as a comma separated list. Each field can be given a boost by appending the boost value separated by the ^ character, that's Lucene query language. The boost value itself is a float value, pay attention to using a dot as the separator for the fractions. Use this option to add more fields to search.
The boost take influence on what score a document gets when searching and thus how documents are ranked and listed in the search results. A higher score will move documents up in the result listing. The boost is a multiplier for the original score value of a document for a search term.
By default if a search term is found in the content field the documents gets scored / ranked higher as if a term was found in the title or keywords field. Although the default should provide a good setting, you can play around with the boost values to find the best ranking for your content.
Since: 1.2 2.0
Sets the minimum match mm query parameter.
By default the mm query parameter is set in solrconfig.xml as 2<-35%. This means that for queries with less than three words they all must match the searched fields of a document. For queries with three or more words at least 65% of them must match rounded up.
Please consult the link to the Solr wiki for a more detailed description of the mm syntax.
Since: 1.2 2.0
Sets the boost function bf query parameter.
Allows to further manipulate the score of a document by using mathematical functions and field values of the current document.
A common use case for boost functions is to rank more current documents higher than older ones.
Please consult the link to the Solr wiki for a more detailed description of boost functions.