Tag: MapReduce
Comparing Couchbase Views with Couchbase N1QL & Indexing.
As Couchbase data platform evolved, services like N1QL and GSI Indexing handled the use cases Couchbase VIEWS used to handle and much more. It’s logical to ask the comparative question between them. Here is a table comparing both. This is...
Querying for Couchbase Documents in a NativeScript Angular Mobile Application
I recently wrote about using Couchbase as a key-value store in a NativeScript iOS and Android application built with Angular. In this example we saw how to collect user profile information to be saved or loaded from Couchbase on the...
Couchbase @ Ziniki : The odyssey to find “Find”
Ziniki Infrastructure Systems built their integration tier on top of Couchbase, because the combination of document storage with incremental mapreduce gave them a powerful way to query data. In this blog, Gareth Powell, founder and architect at Ziniki, describes his...
Understanding Letter Ordering in View Queries
Map/Reduce Views are an important part of Couchbase 2.0 and understanding how to query them is also important. Our documentation is great and can be found here: http://www.couchbase.com/docs/couchbase-manual-2.0/couchbase-views.html One of the subtleties is understanding Unicode Collation ordering of letters which is...
Using Map and Reduce View for Ranking
Starting from version 2.0, Couchbase server offers a powerful way of creating indexes for JSON documents through the concept of views. Using views, it is possible to define primary indexes, composite indexes and aggregations allowing to: . query documents on...