Unit testing requires isolating individual components from their dependencies. Dependencies are replaced with mocks, which simulate certain use cases.
This week, DZone released its latest Refcard. If you're interested in learning more about MongoDB or sharpening your skills, we decided to dig into the DZone archives and find some of the most popular posts we've had on the topic.
Many clients don’t quite realize how much powerful ad-hoc query capability they’re losing by leaving SQL. But how can we possibly have the best of both worlds? Well, luckily for us, Postgres is working on a very handy solution.
After looking at all the pretty pictures, let us take a look at what we have available for us for behind the cover for ops. The first such change is abandoning performance counters.
Sharding is a popular feature in MongoDB, primarily used for distributing data across clusters for horizontal scaling. But as you add complexity to a distributed system, you increase the chances of hitting a problem.
One of my favourite functions in Neo4j’s cypher query language is COLLECT, which allows us to group items into an array for later consumption. However, I’ve noticed that people sometimes have trouble working out how to collect multiple items with COLLECT and struggle to find a way to do so.
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 the rise (and fall?) of NoSQL, a look at using MongoDB with Go and mgo, the dissection of Fall 2014's NoSQL benchmark, and more.
It all comes down to preferences. While there are Redis users who are familiar with the Redis command line interface (CLI) and rely on it, there are those who prefer using a GUI. There are several Redis GUIs available, for different platforms, and in this article I'll try to review a few of them.
That is one scary headline, isn’t it? A customer called me in a state of panic: their database was not loading, and nothing they tried worked. Here is the story as I got it from the customer in question, only embellished to give the proper context for the story.
If you've been following the development of Redis for a while, you may have heard about Redis Cluster in the past - it's been around, to some degree, since 2011. Well, now Redis Cluster actually exists!
In this blog post you will get an overview of two related performance optimizations that you can do for Couchbase 2.5.1 and below. This is not for 3.x for reasons you can read at the bottom of this post.
One of my recent posts generated some good discussion. One particular question, asking me about GemFire as a NoSQL database, caused me to write a long reply. After reading said reply, I realized it would serve better as a post, so here we are. The good, bad, and the ugly of data grids.
I’ve been demonstrating how easy it is to create modern web apps using AngularJS, Java and MongoDB. I also use Groovy during this demo to do the sorts of things Groovy is really good at - writing descriptive tests, and creating scripts.
I say the word “NoSQL” a lot. When I say NoSQL, I tend to talk about denormalized and hierarchical document/row-based data stores like Cassandra, Mongo, Couch, or HBase. But its a terrible way to use that term.
One of the most challenging things to do in production is to know what is going on? In order to facilitate that, we have dedicate some time to exposing the internal guts of RavenDB to the outside world (assuming that the outside world has the appropriate permissions).
In MongoDB there are multiple guarantee levels available for reporting the success of a write operation, called Write Concerns. The strength of the write concerns determine the level of guarantee.
Today I released version 0.3.3 of Motor, the asynchronous MongoDB driver for Python and Tornado. This release is compatible with MongoDB 2.2, 2.4, and 2.6. It requires PyMongo 2.7.1.
I am thrilled to announce the availability of this major release. Couchbase Server 3.0 is a monumental release in the company’s history. With this release we have further strengthened our core architecture, which is amplified through new features we’re releasing in 3.0.
If you haven’t heard of the meteoric rise of NoSQL, you’ve been living in a hole. Likely at the bottom of the ocean. In the Mariana trench. What you probably haven’t heard, what’s been lost in all the hype, is that NoSQL’s unprecedented growth has very little to do with “big data” or “SQL”!
ActiveMQ supports pluggable JAAS modules that handle the authentication of incoming requests. ActiveMQ comes preloaded with a few JAAS modules, none of which supports MongoDB as the backend repository of the authentication data.
After hundreds of hours of work from numerous contributors over the past year, Neo4j.rb, the ActiveRecord replacement for Ruby on Rails and Rack frameworks, has been released!
This has been the most important change in RavenDB 3.0, in my opinion. Not because of complexity and scope, pretty much everything here is much simpler than other features than we have done. But this is important because it makes RavenDB much easier to operate.
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.
Let's dissect the Fall 2014 NoSQL Benchmark. Apache Cassandra / DataStax Enterprise. MongoDB. Couchbase Server. Go.