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From Jan Høydahl (JIRA) <j...@apache.org>
Subject [jira] [Commented] (SOLR-1837) Reconstruct a Document (stored fields, indexed fields, payloads)
Date Thu, 14 Feb 2013 08:44:19 GMT

    [ https://issues.apache.org/jira/browse/SOLR-1837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13578240#comment-13578240
] 

Jan Høydahl commented on SOLR-1837:
-----------------------------------

[~solrtrey], is this something you still want to pursue for Solr4/5, perhaps as an extension
to LukeReqHandler?
                
> Reconstruct a Document (stored fields, indexed fields, payloads)
> ----------------------------------------------------------------
>
>                 Key: SOLR-1837
>                 URL: https://issues.apache.org/jira/browse/SOLR-1837
>             Project: Solr
>          Issue Type: New Feature
>          Components: Schema and Analysis, web gui
>    Affects Versions: 1.5
>         Environment: All
>            Reporter: Trey Grainger
>            Priority: Minor
>              Labels: admin, indexed, luke, payload, reconstruct, stored
>             Fix For: 4.2, 5.0
>
>         Attachments: SOLR-1837.patch
>
>   Original Estimate: 168h
>  Remaining Estimate: 168h
>
> One Solr feature I've been sorely in need of is the ability to inspect an index for any
particular document.  While the analysis page is good when you have specific content and a
specific field/type your want to test the analysis process for, once a document is indexed
it is not currently possible to easily see what is actually sitting in the index.
> One can use the Lucene Index Browser (Luke), but this has several limitations (gui only,
doesn't understand solr schema, doesn't display many non-text fields in human readable format,
doesn't show payloads, some bugs lead to missing terms, exposes features dangerous to use
in a production Solr environment, slow or difficult to check from a remote location, etc.).
 The document reconstruction feature of Luke provides the base for what can become a much
more powerful tool when coupled with Solr's understanding of a schema, however.

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