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https://issues.apache.org/jira/browse/SOLR-380?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12535489
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Erik Hatcher commented on SOLR-380:
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> The idea was to use dynamic fields (e.g. page_1, page_2, page_3... page_N) to
> store the text of each page in a single document. The problem is that
> currently Solr does not support "glob" style field expansion in query
> parameters (e.g.
> qf=page_* ) so you would end up having to specify the entire list of page
> fields in your query, which is impractical. There is already an open issue
> related to this particular problem (SOLR-247) but nobody has had time to look
> into it.
In this case, a copyField from page_* into an unstored "contents" would do the
trick, which would also facilitate querying across pages. A position increment
gap could also prohibit phrase queries across "pages", optionally.
> There's no way to convert search results into page-level hits of a
> "structured document".
> -----------------------------------------------------------------------------------------
>
> Key: SOLR-380
> URL: https://issues.apache.org/jira/browse/SOLR-380
> Project: Solr
> Issue Type: New Feature
> Components: search
> Reporter: Tricia Williams
> Priority: Minor
>
> "Paged-Text" FieldType for Solr
> A chance to dig into the guts of Solr. The problem: If we index a monograph
> in Solr, there's no way to convert search results into page-level hits. The
> solution: have a "paged-text" fieldtype which keeps track of page divisions
> as it indexes, and reports page-level hits in the search results.
> The input would contain page milestones: <page id="234"/>. As Solr processed
> the tokens (using its standard tokenizers and filters), it would concurrently
> build a structural map of the item, indicating which term position marked the
> beginning of which page: <page id="234" firstterm="14324"/>. This map would
> be stored in an unindexed field in some efficient format.
> At search time, Solr would retrieve term positions for all hits that are
> returned in the current request, and use the stored map to determine page ids
> for each term position. The results would imitate the results for
> highlighting, something like:
> <lst name="pages">
> <lst name="doc1">
> <int name="pageid">234</int>
> <int name="pageid">236</int>
> </lst>
> <lst name="doc2">
> <int name="pageid">19</int>
> </lst>
> </lst>
> <lst name="hitpos">
> <lst name="doc1">
> <lst name="234">
> <int
> name="pos">14325</int>
> </lst>
> </lst>
> ...
> </lst>
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