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Building a Full-Text Search Test Framework
This article will give you a quick glimpse into a test framework built to validate Couchbase’s new full-text search feature. The idea described here can be extended to test any text search engine in general.
Couchbase Full-Text SearchSearching unstructured schema-less JSON documents in Couchbase is now easy thanks to the full-text capability it offers. What this means is that Couchbase users can now search for phrases, words, and date/numeric-ranges inside JSON documents. These searches are essentially “queries” on full-text indexes. Couchbase full-text search is RESTful and distributed and is driven by Bleve, an indexing and search library written in Go. For more about full-text search, refer to the recommended reading section.
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