MongoDB 1.6 Released

MongoDB
August 5, 2010
#Releases

MongoDB 1.6.0 is the fourth stable major release (even numbers are “stable” : 1.0, 1.2, 1.4, …) and is the culmination of the 1.5 development series.

Scale-out

The focus of the 1.6 release is scale-out.  Sharding is now production-ready.  The combination of sharding and replica sets allows one to build out horizontally scalable data storage clusters with no single points of failure.

A single instance of mongod can be upgraded to a distributed cluster with zero downtime when the need arises.

A big thanks to all the 1.5.x beta testers of sharding (including foursquare and bit.ly who have been using sharding in production for a while now).

Replica Sets 

Replica sets allow you to setup a high availability cluster with automatic fail over and recovery.  Replica pair users should, when convenient, migrate to replica sets.

Other Improvements in v1.6

  • acknowledged replication: The w option (and wtimeout) force writes to be propagated to N servers before returning success (works well with replica sets).
  • $or queries
  • Up to 64 indexes/collection
  • Improved concurrency
  • $slice operator
  • Support for UNIX domain sockets and IPv6
  • Windows service improvements
  • The C++ client is a separate tarball from the binaries

Downloads: http://www.mongodb.org/display/DOCS/Downloads

Release Notes: http://www.mongodb.org/display/DOCS/1.6+Release+Notes

Full change log

Please report any issues to http://groups.google.com/group/mongodb-user (support forums) or http://jira.mongodb.org/ (bug/feature db).

What’s Next

Now that 1.6 is out, we’re going to be focusing on 1.8.  Help us prioritize features for this release by voting for your key needs at jira.mongodb.org.  The #1 feature queued for v1.8 is single server durability.

More Information

Please join 10gen CEO and Co-Founder Dwight Merriman for the webinar What’s New in MongoDB v1.6 on Tuesday, August 10 at 12:30pm ET / 9:30am PT.

← Previous

Node.js and MongoDB

Visit the more recent post, Getting Started with VMware Cloud Foundry, MongoDB, and Node.js . Listen to the recorded Node.js Panel Discussion webinar. Node.js is turning out to be a framework of choice for building real-time applications of all kinds, from analytics systems to chat servers to location-based tracking services. If you’re still new to Node, check out Simon Willison’s excellent introductory post . If you’re already using Node, you probably need a database, and you just might have considered using MongoDB. The rationale is certainly there. Working with Node’s JavaScript means that MongoDB documents get their most natural representation – as JSON – right in the application layer. There’s also significant continuity between your application and the MongoDB shell, since the shell is essentially a JavaScript interpreter, so you don’t have to change languages when moving from application to database. Node.js MongodB Driver Especially impressive to us at 10gen has been the community support for Node.js and MongoDB. First, there’s Christian Kvalheim’s excellent mongodb-node-native project , a non-blocking MongoDB driver implemented entirely in JavaScript using Node.js’s system libraries. The project is a pretty close port of the MongoDB Ruby driver , making for an easy transition for those already used to the 10gen-supported drivers. If you’re just starting, there’s a helpful  mongodb-node-native mailing list . Hummingbird Need a real-world example? Check out Hummingbird , Michael Nutt’s real-time analytics app. It’s built on top of MongoDB using Node.js and the mongodb-node-native driver. Hummingbird, which is used in production at Gilt Groupe , brings together an impressive array of technologies; it uses the express.js Node.js app framework and sports a responsive interface with the help of web sockets. Definitely worth checking out. Mongoose Of course, one of the admitted difficulties in working with Node.js is dealing with deep callback structures. If this poses a problem, or if you happen to want a richer data modeling library, then Mongoose is the answer. Created by Learnboost , Mongoose sits atop mongodb-node-native, providing a nice API for modeling your application. Node Knockout All of this just to show that the MongoDB/Node.js ecosystem thrives. If you need a good excuse to jump into Node.js or MongoDB development, be sure to check out next month's  Node Knockout . It’s a weekend app competition for teams up to four, and registration is now open . 

July 14, 2010
Next →

MongoDB Releases “Focus Mode” in Compass GUI

We’re excited to announce an improvement to the aggregation-building experience in MongoDB Compass. Compass already makes it easy to view and manage your MongoDB databases, and with the addition of Focus Mode you now have the option to dial in on specific stages within your aggregation pipeline. Overview MongoDB's Query API and Aggregation Pipelines enable easy retrieval and processing of data from collections. They also facilitate complex operations such as filtering, grouping, and transforming, making computation and analysis effortless. MongoDB Compass' intuitive interface simplifies the process of building aggregations by enabling developers to easily create, test, and refine aggregation pipelines, and the introduction of Focus Mode takes this a step further. When constructing pipelines, having to simultaneously view and consider multiple stages can make it challenging to analyze the impact of a specific stage, leading to increased cognitive load. Now, developers can toggle Focus Mode on stages, opening a view that focuses exclusively on the contents of the specific stage they are working on. This view can also be used to view sample input (before the aggregation stage is applied) and output (after the stage is applied) documents, aiding in the understanding, troubleshooting, and optimizing of the data pipeline. Developers can also switch between different stages by accessing a drop-down menu at the top of their screen. This makes identifying inefficiencies and optimizing performance easier, as well as providing deeper insights from the output documents for data-driven decision making. Focus Mode offers a streamlined and distraction-free environment for working with stages, improving the efficiency and precision of testing, debugging, and analyzing the impact of each stage on the data, ultimately simplifying the creation and management of pipelines. Conclusion The addition of Focus Mode is part of our continued refresh of the query and aggregation experience in Compass. These improvements are made possible thanks to the feedback of our developer community, so we encourage you to try out this new feature and let us know what you think! To learn more about Aggregation Pipeline Builder in Compass, visit our documentation .

March 21, 2023