[카테고리:] Full-Text Search
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Full-Text Search – 5 Tips To Improve Your Query Performance
Tuning the search query performance is a very important aspect of Full-Text Search as it helps business-critical applications in meeting the SLA requirements of latency and throughput. Without much preamble, let me share a…
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Text Analysis within a Full-Text Search Engine
Full-Text Search refers to techniques for searching text content within a document or a collection of documents that hold textual content. A Full-Text search engine examines all the textual content within documents as it…
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Fully Configured Couchbase on Red Hat OpenShift in 5 Minutes
I recently did a presentation at Red Hat Users Group – North Texas on Couchbase NoSQL Operator on OpenShift. Thank you to the Red Hat Dallas team for extending the invitation for a joint session – Sam…
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FHIR Data Model with Couchbase N1QL
Couchbase is a JSON database that has now become an alternative to the traditional RDBMS. It has achieved this, not only by providing the industry-leading Key-Value store and the same query and ACID translation…
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Couchbase Intro for MongoDB Developers and NoSQL Experts
Six thousand years ago, the Sumerians invented writing for transaction processing — Gray & Reuter By any measure, MongoDB is a popular document-oriented JSON database. In the last dozen years, it has grown from…
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Introducing Geo Bounded Polygon Query in Full Text Search
Geo Bounded Polygon Query The ability to perform text search with geospatial query capabilities is a very powerful and effective feature from full text search(FTS). And we are bringing the more flexible geo bounded…
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Few Index Management Tips – FTS Best Practices Part II
We have already seen a handful of best practices for defining an FTS index in part1, now let’s explore a few useful tips about the operational and maintenance aspects of an index. A…
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Running FTS Queries in N1QL
We already discussed how the Like % clause is potentially harmful for your application at scale, and why you should consider using Couchbase Full-Text Search instead. One thing we haven’t mentioned yet is why you…
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Customer 360 – Part 4 – Analyzing Your Data
OK, so we’ve looked at building aspects of a Customer 360 solution in previous posts. We looked at an overview of what’s involved in part 1, and since you’re reading this, I’m assuming that…
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Build autocomplete or typeAhead using Full Text Search
What is Autocomplete vs Type Ahead? Autocomplete as the wikipedia says “Autocomplete, or word completion, is a feature in which an application predicts the rest of a word a user is typing” It is…
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FTS Performance Improvements in 6.5.0 – Part 2
For all those who are restlessly eager, let me reveal the deep dark secret of all the performance optimisations in FTS in 6.5.0 is, “ Do less And Do it less often ** ”…
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A Glimpse of FTS Performance Improvements in 6.5.0 – Part 1
Ever since the nimbler, refined `scorch` indexing format released in Couchbase 6.0.0, the FTS team has been pretty excited about the future optimisation potential unlocked with the newer indexing scheme. With the 6.5.0 release,…