Tag: query

Couchbase Server 6.6 is generally available.

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...

Remote Links – Analyze Your Enterprise With Couchbase Analytics

Introduction to remote links Couchbase is excited to announce its new Remote Links Analytics Service feature in the latest Couchbase Server 6.6 release. Remote links enable real-time operational analytics to obtain and analyze data from multiple Couchbase data clusters and...

/ August 12, 2020
External Dataset - AWS S3 Analytics Service

External Datasets – Extend your Reach With Couchbase Analytics

Introduction to external datasets Couchbase is very excited to announce its new “External Datasets” Analytics Services feature in the latest Couchbase Server 6.6 release. External datasets empower customers to access externally stored data in real-time from Amazon Web Services (AWS)...

/ August 12, 2020

Migrating Data from MongoDB to Couchbase, Part 2

Prolog The previous article provided details on how to migrate a MongoDB data set to Couchbase Server. This article shows you how to use the Couchbase SDK to access the data via a Java console application. Code snippets show how...

Index Advisor Service for N1QL (June refresh)

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

/ June 15, 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

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...

IN List Handling Improvements in Couchbase Server 6.5

Introduction IN list is commonly used in N1QL queries. Couchbase Server 6.5 introduces a couple of enhancements in handling of IN list in N1QL queries. Handling of Large IN List Before Couchbase Server 6.5 N1QL handles IN list evaluation at...

Infosys Completes “OpenHack” Solution Development Program with Couchbase

Couchbase is expanding its partnerships with industry-leading global systems integrators and regional solution providers.  Through these partnerships, Couchbase’s unique capabilities can be delivered to our global footprint of enterprise customers. We collaborate closely with our Strategic Alliance partner Infosys to...

Less is More: Why Cost Based Optimizer?

Less is more.  — Ludwig Mies van der Rohe This is no truer statement on the goals of a query optimizer. Do less: Less memory, less CPU, less disk, less IO, less instructions, less partitions, less overflow. Less everything for...

/ September 7, 2019