Tag: query

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

Index Advisor For Query Workload

Overview As the second feature of Index Advisor released in Couchbase server 6.5 (Developer Preview), Advisor function extends the scope from advising on single query to providing index recommendations for query workload and support on session handling. In this article,...

/ August 15, 2019

Window functions in Couchbase Analytics

Co-author:  Till Westmann,  Senior Director, Engineering The bits for Couchbase 6.5, the upcoming release of Couchbase Server, are now available. The Analytics service, which supports efficient parallel query processing, has added support for support for window functions defined in the...

Index Advisor for N1QL Query Statement

Overview Index advisor is introduced in Couchbase server 6.5 as a developer preview feature. It targets at providing secondary index recommendation to help DBAs and developers optimize N1QL query performance. This version is rule-based, in which the index candidates will...

/ August 9, 2019

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,...

/ August 7, 2019

The Unreasonable Effectiveness of SQL in NoSQL Databases: A Comparative Study.

The business applications have requirements: take customer orders, deliver customer orders, track shipping, generate inventory report, end of the day/month/quarter business report, generate business dashboards and more.  These requirements evolve slowly. They remain even when you choose a NoSQL database....

/ May 26, 2019

JSON to Insights: Fast and Easy

Co-author:  Sitaram Vemulapalli, Principal Engineer, Couchbase R&D. “The answer my friend is hiding in JSON” – Bob Dylan There are a lot of public JSON datasets and then is awesome JSON datasets. Every company, including yours, has stored a lot of...

/ December 1, 2018