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Posted to solr-dev@lucene.apache.org by "Lance Norskog (JIRA)" <ji...@apache.org> on 2010/01/03 04:38:30 UTC
[jira] Commented: (SOLR-380) There's no way to convert search
results into page-level hits of a "structured document".
[ https://issues.apache.org/jira/browse/SOLR-380?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12795943#action_12795943 ]
Lance Norskog commented on SOLR-380:
------------------------------------
Please ask this on solr-user. Issues are for discussing implementations.
Lucene payloads are supported by Solr, and a rectangle per term can be stored as a payload. This allows the text to be indexed as a text field, and all queries including phrases will work as normal.
> 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
> Fix For: 1.5
>
> Attachments: SOLR-380-XmlPayload.patch, SOLR-380-XmlPayload.patch, xmlpayload-example.zip, xmlpayload-src.jar, xmlpayload.jar
>
>
> "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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