Results for: mongodb
Arrays in JSON: Modeling, Querying and Indexing Performance
Array is THE difference between the relational model and the JSON model. — Gerald Sangudi Abstract JSON array gives you flexibility in the type of elements, number of elements, size of the elements, and the depth of the elements. This...
Keshav Murthy
August 4, 2020
Refactoring Spring Microservices Apps to work with Couchbase
I’m a big fan of online learning platforms, such as Udemy. For the price of a bottle of wine, you could learn pretty much anything, from psychology and Thai cooking to programming languages, operating systems and IT certifications. Recently, I...
Pavel Novokshonov, Sr. Solutions Engineer, Couchbase
July 26, 2020
FIRST CLASS SQL for FULL-TEXT SEARCH
Over time, the database industry has realized full-text search and SQL are two sides of the same coin. Text search needs further query processing, query processing needs text search to efficiently filter for text patterns. The SQL databases have added...
Keshav Murthy
July 7, 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...
Keshav Murthy
April 13, 2020
SQL to NoSQL – 7 Metrics to Compare Query Language
Organizations who want to take advantage of the many benefits of NoSQL document databases, often find that they have two challenges: How to convert their RDBMS schemas to leverage the schema-less document model. Learn a new API/Query to access the...
Binh Le
March 6, 2020
Announcing Couchbase Now Available on Oracle Cloud
Any cloud, any workload, any location I am thrilled to be able to announce Couchbase as a launch partner with Oracle for their Paid Listing and their Stack launch in the Oracle Cloud Infrastructure (OCI) Marketplace. Running Couchbase on OCI...
Matt McDonough
September 16, 2019
Less Is More: Why Use a Cost-Based Optimizer?
Less is more. — Ludwig Mies van der Rohe There 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...
Keshav Murthy
September 7, 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...
Sachin Smotra, Director Product Management, Couchbase
August 12, 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,...
Keshav Murthy
August 7, 2019
Comparing Postgres JSONB With NoSQL
The reality is that databases are converging, and in the last few years, it is becoming even more difficult to point what are the best scenarios for each datastore without a deep understanding of how things work under the hood. ...
Denis Rosa, Developer Advocate, Couchbase
August 6, 2019
The Unreasonable Effectiveness of SQL in NoSQL Databases
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. On...
Keshav Murthy
May 26, 2019
Approaches to Query Optimization in NoSQL
A man returned home after walking around the globe for eleven years. Next day, when he told his wife he’s going to the corner store, she asked him: “are you taking the short route or the long one?”. Queries can...
Keshav Murthy
May 5, 2019