If you work with Couchbase in Java, you may at times need to perform a batch of document reads, writes, updates, or deletes. If you are running these operations in a typical sequential loop, one document at a time, and if the order of the operations is not significant, then you’ve been missing out on the performance gains available in Couchbase’s support for asynchronous batch operations.
My latest article in the Couchbase SDK series for baeldung.com introduces Asynchronous Batch Operations in the Couchbase SDK by way extending the CRUD-repository-like service that was first introduced in a previous article, Using Couchbase in a Spring Application.
I’ve been working a lot with Couchbase as of late, learning both the Spring Data Couchbase community module and the native Couchbase SDK for Java, and I want to share a couple of tutorials that I’ve written recently for baeldung.com.
The first, titled Introduction to Couchbase SDK for Java, will get you up and going quickly, covering basic techniques such as connecting to a cluster, opening data buckets, and basic persistence operations in the native Couchbase SDK, including a brief overview of working with replicas in the event of a node outage.
The second tutorial, Using Couchbase in a Spring Application, presents a framework with which to work with a Couchbase environment, cluster, and multiple buckets, and a basic persistence layer for performing CRUD operations in a Spring application without using the Spring Data module.
Future articles in the series will cover the use of Couchbase’s asynchronous API for performing bulk operations, querying data buckets with MapReduce views, and querying with N1QL, Couchbase’s superset of SQL for working with JSON documents.
I hope that you will enjoy these tutorials and that you will stay tuned as the rest of the series unfolds.
The second article in the Spring Data Couchbase Tutorial series on baeldung.com focuses on entity validation using the JSR-303 specification, optimistic locking, and query consistency while the third article introduces the use of multiple buckets, as well as Spatial views for writing queries against multi-dimensional data, such as geographic data.
You can find all articles in this series including the Introduction to Spring Data Couchbase on the persistence page at baeldung.com.
My next project will be a follow-up series dedicated to Couchbase itself and the use of the native Couchbase Java SDK to query and manipulate Couchbase data, so stay tuned for that.
If you are considering incorporating a NoSQL database into your application, you might want to consider Couchbase. And if the native Couchbase SDK seems intimidating, or if you are a big fan of using Spring Data for your persistence needs, please take a look at this tutorial on Spring Data Couchbase that I wrote for baeldung.com.
Spring Data Couchbase is a Spring community project that provides an abstraction layer for persisting and accessing Couchbase documents. In my tutorial, you will learn how to configure your project and how to write and use a basic repository interface, as well as how to use the Spring Data template abstraction, for interacting with Couchbase.
Follow-up articles will focus on other topics in Spring Data Couchbase, such as spatial-view-based queries, the use of multiple buckets, data validation, and optimistic locking.