Tag: GSI

New Features in Index Service in Couchbase Server 5.5

In the last major release, Couchbase Server 5.0, we introduced Plasma – New Storage Engine and also the support for Index Replicas in the Index Service. We have continued to build on these new features in our upcoming release. The themes...

Indexing Best Practices

Prelude: Asynchronous Indexing: Global Secondary Indexes in Couchbase can be created, updated and deleted without impacting the reads and writes on the JSON documents in Data nodes. This means that index inserts/updates/deletes happen asynchronously and index workloads are isolated from...

How to transition from Equivalent Indexes to Index Replicas?

In the previous post, we saw the benefits of using index replicas over equivalent indexes.  Let’s say you are on Couchbase Server 4.x and have the following 3 equivalent indexes spread across 3 nodes; and with Couchbase 5.0 Beta available,...

Diving into Couchbase Index Replicas

With Couchbase Server 4.x, customers used to create Equivalent Indexes to satisfy the twin requirements of keeping the indexes highly available and to load balance the N1QL queries. What this meant was that the exact same index definition was used...

Introducing Plasma – Highly Performant and Efficient Storage Engine for Couchbase Indexes

ForestDB was introduced as an efficient storage engine for Global Secondary Indexes in Couchbase 4.0. The constant innovation, willingness to experiment and the challenge to beat our own metrics drives us at Couchbase and it is with this resolve and...

New to Couchbase Server 5.0: GSI replicas and rebalancing

Couchbase Server 4.0 introduced Global Secondary Indexes (GSI) to support the N1QL query engine.  Now, with Couchbase Server 5.0 (as of the April developer build), we have added the ability to automatically replicate and rebalance these indexes. At first, GSIs...

/ April 30, 2017

Deferring Index Creation

There is a feature in Couchbase 4.x that can really help with Global Secondary Index creation and many do not know about. It is the ability to queue index creation statements and then parallelize their creation for efficiency and performance....