Recently we released version 1.3.8 of the Couchbase .NET SDK. Like the previous couple of 1.X releases, this is a bug fix/maintanence release. Note that nearly all new development is happening on the 2.0 Version of the .NET SDK, which should be GA early this fall!
In this post, I’ll give an introduction to CRUD (Create, Read, Update, Delete) operations using the Java driver
This article presents detailed steps on what is needed to get started with Spring Data MongoDB while you are working with a Spring MVC web application. The article assumes that you have got the Spring MVC application setup done.
Make sure you didn't miss anything with this list of the Best of the Week in the NoSQL Zone. This week's best include six rules of MongoDB schema design, a collection of MongoDB commands & concepts for rookies, how to get started with MongoDB using Java, and more.
The FCC has a mandate to collect and share information on mobile broadband quality. Traditionally, that meant collecting data and then issuing a report. Before the report is completed, the public generally has no visibility into the data. MongoDB is helping change that.
In a short series of blog posts I will attempt to explain the philosophy and design of the security model of MongoDB. The first post covers the basics of securing a MongoDB server and application and gives an overview of the options available.
On behalf of the whole SDK team, I'm happy to announce the third developer preview of the Java/JVM SDK release train nicknamed Armstrong. It contains both the JVM core package "core-io" 0.3 as well as the Java SDK 2.0 developer preview 3.
A few months ago, we wrote a blog post on finding and terminating long-running operations in MongoDB. To help make it even easier for MongoLab users* to quickly identify the cause behind database unresponsiveness, we’ve integrated the currentOp() and killOp() methods into our management portal.
HandlerSocket is included with MariaDB and acts like a simple NoSQL interface to InnoDB, XtraDB and Spider, and I will describe it a bit more in this and a few upcoming blogs.
This is our final stop in this tour of modeling One-to-N relationships in MongoDB. In the first post, I covered the three basic ways to model a One-to-N relationship. Last time, I covered some extensions to those basics: two-way referencing and denormalization.
Cypher is a neat way to manipulate a Neo4j database. It would be equally amazing if the Xml graph could be queried with Cypher as well.
A few weeks ago, Neo4j launched our #ShowMeYourGraph twitter contest in preparation for GraphConnect 2014 SF. In celebration of this, we thought we’d highlight some Graph Visualizations our community has produced. Take a look and get inspired!
This is the fourth post in a series of posts that explains Ark, a consensus algorithm we’ve developed for TokuMX and MongoDB to fix known issues in elections and failover. In this post, I describe how Ark fixes the existing problems.
Last time I covered the three basic schema designs: embedding, child-referencing, and parent-referencing. With these basic techniques under our belt, I can move on to covering more sophisticated schema designs, involving two-way referencing and denormalization.
The next headache on our list will carry on with the topic of master-slave replication. In particular, we will look a bit deeper at the length of time needed to complete the process as well as some configuration issues that can cause major inconveniences.
For new users, it’s important to provide an overview of how to work with the MongoDB Java driver and how to use MongoDB as a Java developer.
Make sure you didn't miss anything with this list of the Best of the Week in the NoSQL Zone (August 1 to 7). This week's best include how to develop robust and scalable transactions across docs in MongoDB, how to use MongoDB with Go and mgo, the top NoSQL databases according to GitHub stars, and more.
This article presents some of the basic concepts and commands which could prove useful for rookies starting with MongoDB.
We’ve just released a new version of our Node.js SDK, now in Beta. This reflects a big change from our previous SDK releases, including a new API which should be far easier to get started with and use, better documentation, and numerous performance enhancements through our related project, libcouchbase.
“I have lots of experience with SQL, but I’m just a beginner with MongoDB. How do I model a one-to-N relationship?” This is one of the more common questions I get from users attending MongoDB office hours. In this first part, I’ll talk about the three basic ways to model One-to-N relationships.
We got tired of sending over “give me the output of the following endpoints” deal. We wanted a better story, something that would be easier and more convenient all around. So we sat down and thought about this, and came up with the idea of the Debug Info Package.
MongoDB supports ACID at a single document level. This technique actually solves a number of transactional issues for one-to-one and some one-to-many relationships. But for other cases where data must be split, how can you deal with it?
This series of installments will highlight some of the most irritating issues that come up when using Redis, along with tips on how to solve them. They are based on our real-life experience of running thousands of Redis database instances.
In this post, I assume the reader is familiar with the first two posts and discuss why data that has been successfully acknowledged with majority write concern may be lost in a failover.
This presentation will give developers an introduction and practical experience of using MongoDB with the Go language. MongoDB Chief Developer Advocate & Gopher Steve Francia presents plainly what you need to know about using MongoDB with Go.