Tag: couchbase
Announcing General Availability Of Couchbase Ruby SDK 3.0 !
” We are delighted to announce the General Availability of Couchbase Ruby SDK 3.0 ! “ Useful Links Read Couchbase Ruby SDK 3.0 documentation Read Couchbase Server 6.5.0 documentation Share your thoughts on the Couchbase Forums See all the...
FTS Flex Index vs GSI Indexes in Couchbase Server 6.6
In this article, we will touch on some practical examples starting with N1QL queries using GSI Indexes and simulate a dataset that over time grows not just with document size, but the actual document structure growing as well. Couchbase Server makes flexible...
Announcing Flex Index With Couchbase
Flex Index Explained What is a Flex Index? One of the key tasks of a database engine is how to efficiently manage the search and retrieval of the data therein. The efficiency and balance between resource consumption and performance are...
Remote Links: Analyze Trends with Couchbase Analytics
Introduction to remote links Couchbase is excited to announce its new Remote Links Analytics Service feature in the latest Couchbase Server 6.6 release. Remote links enable real-time operational analytics to obtain and analyze data from multiple Couchbase data clusters and...
External Datasets: Accessing AWS S3 in Couchbase Analytics
Introduction to external datasets Couchbase is very excited to announce its new “External Datasets” Analytics Services feature in the latest Couchbase Server 6.6 release. External datasets empower customers to access externally stored data in real-time from Amazon Web Services (AWS)...
Eventing Improvements: Timers, Handlers and Statistics
With the release of Couchbase 6.6 the Eventing Service has major improvements in functionality. We’ve introduced new Eventing Timers that can be cancelled using the cancelTimer() function, or by creating a new timer with the same reference identifier as an...
Text Analysis within a Full-Text Search Engine
Full-Text Search refers to techniques for searching text content within a document or a collection of documents that hold textual content. A Full-Text search engine examines all the textual content within documents as it tries to match a single search...
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...
Comparing MongoDB MQL with N1QL features in Couchbase 6.5
This is a short note reviewing the MongoDB MQL language features highlighted in the release blog: MongoDB 4.4: User-Driven Engineering. Ready for You. MongoDB 4.4 release has added a number of features for the MQL language. Couchbase released 6.5 earlier...
Migrating Data from MongoDB to Couchbase
Prologue This article guides you through a one-time MongoDB migration to Couchbase. You will learn how to export from the MongoDB data structure, import to Couchbase, and do some basic transformation on those documents. All code from this blog is...
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...
Using Elasticsearch Connector with Ingest Node Pipeline
Recently, as I was exploring our documentation to acquaint myself with the capabilities of Elasticsearch Connector 4.2, I came across a configuration called Pipeline. I was curious to explore and understand what it means and what purpose does this solve....