By EJ Bensing, MongoDB intern for Summer 2013
I’ve spent the last 2 months interning at 10gen, the MongoDB company, working on Mongoose. It has been a lot of fun and I’ve learned a ton about Node.js, MongoDB, and building open source libraries. I’m going to save all of that for a different post though, and instead talk about the newest release of Mongoose.
To start things off, this is an unstable release. This means that it contains potentially breaking changes or other major updates, and thus should probably not be used in production. You can tell this is an unstable release because of the middle digit. Starting from 3.7, odd middle digits mean unstable, even mean stable. This is identical to the Node.js and MongoDB versioning schemes.
The MongoDB Web Shell is a web application designed to emulate some of the features of the mongo terminal shell. This project has three main uses: try.mongodb.org, 10gen Education online classes, and the MongoDB API documentation.
In these three different contexts, users will be able to familiarize themselves with the MongoDB interface and basic commands available both independently and as part of a 10gen education homework assignment in the education program.
See a screenshot of the state of the browser shell prior to this summer below:
By Trisha Gee, MongoDB Java Engineer and Evangelist
You may have heard that the JVM team at 10gen is working on a 3.0 version of the Java driver. We’ve actually been working on it since the end of last year, and it’s probably as surprising to you as it is to me that we still haven’t finished it yet. But this is a bigger project than it might seem, and we’re working hard to get it right.
So why update the driver? What are we trying to achieve?
Well, the requirements are:
This is a guest post, written by Mario Alvarez, a MongoDB intern for Summer 2013
This summer, I worked on developing the Meta Driver project, an effort to re-work the drivers documentation, creating an implementable specification of driver functionality that could be applied to different drivers in different languages.
by Mike O’Brien, MongoDB Kernel Tools Lead and maintainer of Mongo-Hadoop, the Hadoop Adapter for MongoDB
Hadoop is a powerful, JVM-based platform for running Map/Reduce jobs on clusters of many machines, and it excels at doing analytics and processing tasks on very large data sets.
Since MongoDB excels at storing large operational data sets for applications, it makes sense to explore using these together - MongoDB for storage and querying, and Hadoop for batch processing.
We recently released the 1.1 release of the MongoDB Connector for Hadoop. The MongoDB Connector for Hadoop makes it easy to use Mongo databases, or MongoDB backup files in .bson format, as the input source or output destination for Hadoop Map/Reduce jobs. By inspecting the data and computing input splits, Hadoop can process the data in parallel so that very large datasets can be processed quickly.
By Sridhar Nanjundeswaran, Windows Azure lead at 10gen
I have used the MongoDB Installer for Windows Azure to deploy my MongoDB instance on a Windows Virtual Machine on Windows Azure. It is not my production environment but I would still like to secure it. What do I need to do to secure this standalone instance?
Let us take a look at the possible issues and how you would resolve each of them.
By Ross Lawley, MongoEngine maintainer and Scala Engineer at 10gen
Earlier in the year I gave a talk at MongoDB London about the different aggregation options with MongoDB. The topic recently came up again in conversation at a user group, so I thought it deserved a blog post.
I wanted to give a more interesting aggregation talk than the standard “counting words in text”, and as the aggregation framework gained shiny 2dsphere geo support in 2.4, I figured I’d use that. I just needed a topic…
Two things immediately sprang to mind: weather and beer.
Today we are open sourcing the alpha release of a MongoDB driver for the Rust programming language. This is the culmination of two months of work with help from the Rust community, and we’re excited to be sharing our initial version. We are looking forward to feedback from both the Rust and MongoDB communities.
This is a guest post by Louis Chatriot
Sometimes you need database functionality but want to avoid the constraints that come with installing a full-blown solution. Maybe you are writing a Node service or web application that needs to be easily packageable, such as a continuous integration server. Maybe you’re writing a desktop application with Node Webkit, and don’t want to ask your users to install an external database. That’s when you need NeDB.
The Java Team has released Morphia, version 0.101. Rumors of Morphia’s demise have been greatly exaggerated.
This release formalizes the 0.99-SNAPSHOT code that many have been using for years. Apart from some formatting and minor style changes, there is no functional change from what’s been on Google Code for the past few years.
Libbson is a new shared library written in C for developers wanting to work with the BSON serialization format.
Its API will feel natural to C programmers but can also be used as the base of a C extension in higher-level MongoDB drivers.
The library contains everything you would expect from a BSON implementation. It has the ability to work with documents in their serialized form, iterating elements within a document, overwriting fields in place, Object Id generation, JSON conversion, data validation, and more. Some lessons were learned along the way that are beneficial for those choosing to implement BSON themselves.
In March, 10gen hosted a Global Hackathon called MongoDB March Madness, and challenged the community to build tools to support the growing MongoDB community. Leafblower, a project built at the Sydney March Madness Hackathon, was the global winner of the Hackathon
Andy Sharman and Josh Stevenson work together on independent projects under their brand rdrkt (pronounced “redirect”) and capitalize on their largely overlapping skillset, but unique passions to build cutting-edge web applications. Josh is passionate about flexible, scalable back-end systems and Andy is passionate about accessible, responsive user interfaces.
by A. Jesse Jiryu Davis, Python Evangelist at 10gen
In a sharded cluster of replica sets, which server or servers handle each of your queries? What about each insert, update, or command? If you know how a MongoDB cluster routes operations among its servers, you can predict how your application will scale as you add shards and add members to shards.
Operations are routed according to the type of operation, your shard key, and your read preference. Let’s set up a cluster and use the system profiler to see where each operation is run. This is an interactive, experimental way to learn how your cluster really behaves and how your architecture will scale.
By Jeremy Mikola, 10gen software engineer and maintainer of Doctrine MongoDB ODM.
It seems that GeoJSON is all the rage these days. Last month, Ian Bentley shared a bit about the new geospatial features in MongoDB 2.4. Derick Rethans, one of my PHP driver teammates and a renowned OpenStreetMap aficionado, recently blogged about importing OSM data into MongoDB as GeoJSON objects. A few days later, GitHub added support for rendering
.geojson files in repositories, using a combination of Leaflet.js, MapBox, and OpenStreetMap data. Coincidentally, I visited a local CloudCamp meetup last week to present on geospatial data, and for the past two weeks I’ve been working on adding support for MongoDB 2.4’s geospatial query operators to Doctrine MongoDB.
Doctrine MongoDB is an abstraction for the PHP driver that provides a fluent query builder API among other useful features. It’s used internally by Doctrine MongoDB ODM, but is completely usable on its own. One of the challenges in developing the library has been supporting multiple versions of MongoDB and the PHP driver. The introduction of read preferences last year is one such example. We wanted to still allow users to set
slaveOk bits for older server and driver versions, but allow read preferences to apply for newer versions, all without breaking our API and abiding by semantic versioning. Now, the
setSlaveOkay() method in Doctrine MongoDB will invoke
setReadPreference() if it exists in the driver, and fall back to the deprecated
setSlaveOkay() driver method otherwise.
by Emily Stolfo, Ruby Engineer and Evangelist at 10gen
MongoDB is a popular choice among developers in part because it permits a one-to-one mapping between object-oriented (OO) software objects and database entities. Ruby developers are at a great advantage in using MongoDB because they are already used to working with and designing software that is purely object-oriented.
Most of the discussions I’ve had about MongoDB and Ruby assume Ruby knowledge and explain why MongoDB is a good fit for the Rubyist. This post will do the opposite; I’m going to assume you know a few things about MongoDB but not much about Ruby. In showing the Rubyist’s OO advantage, I’ll share a bit about the Ruby programming language and its popularity, explain specifically how the majority of Ruby developers are using MongoDB, and then talk about the future of the 10gen Ruby driver in the context of the Rails community.