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https://issues.apache.org/jira/browse/COUCHDB-53?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Adam Kocoloski closed COUCHDB-53.
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> Incorporating JSearch to CouchDB
> --------------------------------
>
> Key: COUCHDB-53
> URL: https://issues.apache.org/jira/browse/COUCHDB-53
> Project: CouchDB
> Issue Type: New Feature
> Components: Full-Text Search
> Environment: JSearch is developed in Java
> Reporter: Jun Rao
> Assignee: Paul Joseph Davis
> Priority: Minor
> Attachments: jsearch_full.tgz
>
>
> JSearch is a prototype that we developed for indexing and searching Json
> documents, and we are enthusiastic about contributing it to CouchDB. JSearch
> converts a given Json document to a Lucene document for indexing. The
> conversion is lossless and preserves all structural information in the
> original Json document. We achieve that by storing the encoding of Json
> structures in the payload of the posting list in a Lucene index. JSearch has
> a simple query language that combines fulltext search and structural
> querying. To qualify as a match, a document has to match both the JSON
> structures as well as the Boolean constraints specified in the query. Suppose
> that we have indexed the following two JSON documents:
> d1={ A: [ { B: "b1", C: "c1" },
> { B: "b2", C: "c2" },
> ]
> }
> d2={ A: [ { B: "b1", C: "c2" },
> { B: "b2", C: "c1" },
> ]
> }
> One can issue the following two JSeach queries.
> P={ A: [ { B: "b1" && C: "c1" } ] }
> Q={ A: [ { B: "b1"} && {C: "c1" } ] }
> Query P ("&&" specifies conjunction) matches d1, but not d2. The reason is
> that d2 doesn't have the proper B and C fields within the same JSON object.
> On the other hand, query Q matches both d1 and d2, since it doesn't require
> the B field and the C field to be in the same JSON object.
> Here is a summary of the querying features in JSearch
> 1. arbitrary conjunctive and disjunctive constraints
> 2. text search on atomic values of string type
> 3. range constraints on atomic values (only those of string and long types
> are currently supported)
> 4. document level matching
> The easiest way to know more about JSeach is to give it a try. Download the
> attached tgz file. Follow the readme file in it and try some of the examples.
> The attachment also includes all Java source code (I can provide more
> technical details if needed). I am very interested in your feedback. Does
> JSearch fit into CouchDB? What other features are needed? How should JSearch
> be integrated (from Jan's mail, it seems that some infrastructure is already
> in-place)? Thanks,
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