Category: Full Text Search
How to Make Geospatial Polygon-Based Search on Couchbase
Geospatial features have proven over the years to significantly increase user engagement. In fact, we got so used to it that now we even expect that any kind of recommendation (news, restaurants, products) should also be location-based. The majority of...
Announcing Flex Index With Couchbase
Flex Index Explained What is a Flex Index? One of the key tasks of a database engine is how to efficiently manage the search and retrieval of the data therein. The efficiency and balance between resource consumption and performance are...
What’s New and Improved in Couchbase Server 6.6
Couchbase Server 6.6 is now generally available with exciting new enhancements that augment our Analytics, Query, Search, and Eventing Services as well as our backup, recovery and tooling capabilities. These enhancements improve developer productivity, simplify cloud deployments, and enable operational...
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 Under Five 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...
FTS and N1QL: Improving Performance when 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...