Tag: 6.5

Intro to Couchbase Transactions Java API [Video]

Intro to Couchbase Transactions Java API [Video]

Today I’m very excited to announce the release of a project we’ve been beavering away on behind the scenes for some time now: Couchbase Distributed ACID Transactions! This video is a quick guide for you, the busy Java developer, on...

Madhuram Gupta August 9, 2019
Couchbase 6.5 – Scan Consistency in Analytics

Couchbase 6.5 – Scan Consistency in Analytics

Since the GA back in Nov 2018, Couchbase Analytics is being used in multiple verticals for rapid time to insight – ad-hoc analysis by a payment provider,  shopping cart analysis by an e-tailer, next gen ticket booking engine by a...

Madhuram Gupta August 9, 2019
Extend Couchbase Analytics with RapidMiner using CData

Extend Couchbase Analytics with RapidMiner using CData

Extend Couchbase Analytics with RapidMiner using CData This article will guide you through the steps needed to setup the connection from RapidMiner to Couchbase Analytics using the CData JDBC driver for Couchbase. More details regarding this driver can be found...

Madhuram Gupta August 9, 2019
Cost Based Optimizer for Couchbase N1QL (SQL for JSON)

Cost Based Optimizer for Couchbase N1QL (SQL for JSON)

Authors & Engineering Team: Bingjie Miao, Keshav Murthy,  Marco Greco, Prathibha Bisarahalli. Couchbase, Inc.  A rule-based optimizer knows rules for everything and cost for nothing – Oscar Wilde Abstract Couchbase is a distributed JSON database. It provides distributed data processing,...

Madhuram Gupta August 7, 2019
Rebalance Improvements in Couchbase Server 6.5

Rebalance Improvements in Couchbase Server 6.5

Rebalance is a critical component of Couchbase architecture that allows for online cluster management operations including adding/removing nodes, online upgrades of hardware or software, and recovery after node failure.  Couchbase Server 6.5 makes rebalance more robust, more manageable, and faster....

Madhuram Gupta August 5, 2019
FTS Performance Improvements in 6.5.0 – Part 2

FTS Performance Improvements in 6.5.0 – Part 2

For all those who are restlessly eager, let me reveal the deep dark secret of all the performance optimisations in FTS in 6.5.0 is, “ Do less And Do it less often **  ” And I am sure you would...

Madhuram Gupta July 11, 2019
A Glimpse of FTS Performance Improvements in 6.5.0 – Part 1

A Glimpse of FTS Performance Improvements in 6.5.0 – Part 1

Ever since the nimbler, refined scorch indexing format released in Couchbase 6.0.0, the FTS team has been pretty excited about the future optimisation potential unlocked with the newer indexing scheme. With the 6.5.0 release, we have essentially embarked on a...

Madhuram Gupta July 3, 2019
A Preview of Couchbase 6.5 N1QL Features

A Preview of Couchbase 6.5 N1QL Features

Couchbase 6.5 release is one of the largest release content wise for Couchbase. For N1QL Query service, the focus for us is to bring Enterprise Database functionalities to the Couchbase Database. Expanding N1QL with additional functions to support Enterprise Application...

Madhuram Gupta June 22, 2019
Get a Bigger Picture with N1QL Window Functions and CTE

Get a Bigger Picture with N1QL Window Functions and CTE

Whether it is a personal need to understand your spending pattern from looking at the bank transactions, or seeking to improve the sales performance in your organization by looking at the sales activities, the real insights are only visible with...

Madhuram Gupta March 12, 2019
N1QL query with Self Referencing Hierarchy

N1QL query with Self Referencing Hierarchy

A data construct that often appears in business application is the hierarchical data structure. Hierarchy captures the parent-child relationship often between the same object. For instance a company structure captures the reporting line between employees. Business organization captures the relationship...

Madhuram Gupta February 17, 2019
JSON to Insights: Analyzing US healthcare Data.

JSON to Insights: Analyzing US healthcare Data.

“Nothing is certain except for death and taxes.” This isn’t a dataset made with a bed of roses or manicured green grass. A bit more serious. Let’s see if we can quickly learn anything here. The dataset is the following. “name”...

Madhuram Gupta December 7, 2018
On Par with Window Functions.

On Par with Window Functions.

Use golf analogy when explaining to executives. Use a car analogy for all others.  — Confucius. The purpose of window functions is to translate the business reporting requirements declaratively and effectively to SQL so query performance and developer/business-analyst efficiency improve...

Madhuram Gupta November 22, 2018