Category: Full-Text Search
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 tries to match a single search...
Arrays in JSON: Modeling, Querying and Indexing Performance
Array is THE difference between the relational model and the JSON model. — Gerald Sangudi Abstract JSON array gives you flexibility in the type of elements, number of elements, size of the elements, and the depth of the elements. This...
FIRST CLASS SQL for FULL-TEXT SEARCH
Over time, the database industry has realized full-text search and SQL are two sides of the same coin. Text search needs further query processing, query processing needs text search to efficiently filter for text patterns. The SQL databases have added...
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 Nicholls, John Gammon, and Nick Wallace. In the...
Implement FHIR REST server with Couchbase
This is a follow up to my previous post that covered the topic of FHIR Data Model with Couchbase N1QL. In this blog, I will discuss the topic of how to implement the FHIR Search REST API Server over the...
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 capabilities that organizations have come to...
FTS and N1QL: Better MongoDB in Operator Performance Querying Multiple Arrays
Introduction Couchbase Full Text Search (FTS) is a great fit for indexing multiple arrays and executing queries with multiple filter predicates in arrays. In this article, I’ll demonstrate the advantages of using FTS over GSI (Global Secondary Index) for array...
Announcing Couchbase Server 6.5 GA – What’s New and Improved
We are pleased to announce the release of Couchbase Server 6.5 GA with stellar features that lead the innovation in the NoSQL database market. We are excited to once again pioneer some of the most sought-after relational capabilities in the...
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 polygon query feature to FTS in...
Full Text Search Indexing Best Practices by Use Case
Introduction Full text search (FTS) indexing can be challenging for those who are not familiar with search in general. In this post, we’ll take some common search use cases and work through the creation of appropriate indexes following best practices...
Introducing FTS with N1QL
Topics this article will cover What’s good with N1QL? What about FTS? But why FTS within N1QL? Basic N1QL+FTS queries Deploying N1QL+FTS Syntax(es) Abilities & limitations N1QL+FTS Internals Covered-index vs Non-covered-index queries More N1QL+FTS query examples What’s next? 1. Couchbase’s...
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 user who is new to the...
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