Category: N1QL / Query

Prague Astronomical Clock

Implementing a robust portable cron like scheduler via Couchbase Eventing (Part 1)

This is the first of a multi-part series to leverage the Couchbase Eventing Service to run multiple scheduled tasks at specific recurring intervals in a cron like fashion completely inside the database without requiring additional infrastructure via a single general-purpose...

Couchbase Data Platform Partner Training

Thanks to Binh Le, Jon Strabala & Keshav Murthy for contributing to this post. Introduction Couchbase provides a wide variety of self paced online courses as well as in-person (or virtual) training through both Couchbase’s training portal. Advent of open...

/ May 19, 2020

Announcing Spring Data Couchbase 4.0

We are delighted to announce that the eagerly awaited Spring Data Couchbase 4.0 is now available with enhanced capabilities. Built on top of Couchbase Java SDK 3.0, Spring Data Couchbase out-of-the-box comes with technology enhancements and leverages the latest Couchbase...

/ May 12, 2020

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...

/ April 25, 2020

Introduction to Couchbase for MongoDB Developers and 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 its humble beginnings of a single...

/ April 25, 2020

How To Manage Time-To-Live (TTL) Documents with Couchbase N1QL

There is one feature that I wish had existed with RDBMS, and that is the built in support for setting a Time-To-Live value for the data records. In NoSQL databases, the support of TTL is very common. NoSQL databases were...

/ April 14, 2020

Flexible Query & Indexing for Flexible JSON Model.

Use N1QL when you’re in a JSON pickle. — Confucius For the JSON data model, the advice is to think of collections as tables, JSON document as denormalized rows and field names as columns – roughly. All this holds in...

/ April 13, 2020
N1QL

Index Advisor Service for N1QL (March refresh)

This is our March drop for Index Advisor service for N1QL after fixing some of the bugs that were found after our last refresh in Feb. We plan to keep improvising the Index Advisor service(What is it?). The fixes in...

/ March 31, 2020

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...

Couchbase for Oracle Developers – Part 4 : Data types

Link to the series home page: https://blog.couchbase.com/couchbase-oracle-developers-part-1-overview/ As part of data remodeling, while moving from the relational model to the JSON model, you’ll have to consider the data type mapping. In Oracle, you’ll have to create and declare the types...

/ March 25, 2020