Cloudera Blog · ZooKeeper Posts
It’s widely accepted that you should never design or implement your own cryptographic algorithms but rather use well-tested, peer-reviewed libraries instead. The same can be said of distributed systems: Making up your own protocols for coordinating a cluster will almost certainly result in frustration and failure.
Architecting a distributed system is not a trivial problem; it is very prone to race conditions, deadlocks, and inconsistency. Making cluster coordination fast and scalable is just as hard as making it reliable. That’s where Apache ZooKeeper, a coordination service that gives you the tools you need to write correct distributed applications, comes in handy.
With ZooKeeper, these difficult problems are solved once, allowing you to build your application without trying to reinvent the wheel. ZooKeeper is already used by Apache HBase, HDFS, and other Apache Hadoop projects to provide highly-available services and, in general, to make distributed programming easier. In this blog post you’ll learn how you can use ZooKeeper to easily and safely implement important features in your distributed software.
How ZooKeeper Works
In this installment of “Meet the Engineer”, get to know Customer Operations Engineering Manager/Apache Sqoop committer Kathleen Ting (@kate_ting).
What do you do at Cloudera, and in what open-source projects are you involved?
I’m a support manager at Cloudera, and an Apache Sqoop committer and PMC member. I also contribute to the Apache Flume and Apache ZooKeeper mailing lists and organize and present at meetups, as well as speak at conferences, about those projects.
My role is a hybrid “player/coach” model: in addition to doing managerial things like leading a team and addressing customer escalations, I also answer customer support cases directly, which is a fairly unique combination. This is an effective approach: giving me direct insights into customer concerns that I otherwise wouldn’t get, helping me stay grounded, and ensuring I appreciate the work the team is doing, first-hand.
For several good reasons, 2013 is a Happy New Year for Apache Hadoop enthusiasts.
In 2012, we saw continued progress on developing the next generation of the MapReduce processing framework (MRv2), work that will bear fruit this year. HDFS experienced major progress toward becoming a lights-out, fully enterprise-ready distributed filesystem with the addition of high availability features and increased performance. And a hint of the future of the Hadoop platform was provided with the Beta release of Cloudera Impala, a real-time query engine for analytics across HDFS and Apache HBase data.
Let’s look at the highlights of the 2012 developments around projects supported by Cloudera.
Apache Hadoop Releases
AssignmentManager is a module in the Apache HBase Master that manages regions to RegionServers assignment. (See HBase architecture for more information.) It ensures that all regions are assigned and each region is assigned to just one RegionServer.
Although the AssignmentManager generally does a good job, the existing implementation does not handle assignments as well as it could. For example, if a region was assigned to two or more RegionServers, some regions were stuck in transition and never got assigned, or unknown region exceptions were thrown in moving a region from one RegionServer to another.
In the past we tried to fix these bugs without changing the underlying design. Consequently, the AssignmentManager ended up having many band-aids, and the code base became hard to understand/maintain. Furthermore, the underlying issues had not been completely fixed.
Update time! As a reminder, Cloudera releases major versions of CDH, our 100% open source distribution of Apache Hadoop and related projects, annually and then updates to CDH every three months. Updates primarily comprise bug fixes but we will also add enhancements. We only include fixes or enhancements in updates that maintain compatibility, improve system stability and still allow customers and users to skip updates as they see fit.
We’re pleased to announce the availability of CDH4.1. We’ve seen excellent adoption of CDH4.0 since it went GA at the end of June and a number of exciting use cases have moved to production. CDH4.1 is an update that has a number of fixes but also a number of useful enhancements. Among them:
Strata Conference + Hadoop World (Oct. 23-25 in New York City) is a bonanza for Hadoop and big data enthusiasts – but not only because of the technical sessions and tutorials. It’s also an important gathering place for the developer community, most of whom are eager to share info from their experiences in the “trenches”.
Just to make that process easier, Cloudera is teaming up with local meetups during that week to organize a series of meetings on a variety of topics. (If for no other reason, stop into one of these meetups for a chance to grab a coveted Cloudera t-shirt.)
As you can see, these meetups are highly parallel, so you will either have to make careful choices or have very quick feet. The good news is: there’s something for everybody.
We are happy to announce the general availability of CDH3 update 5. This update is a maintenance release of CDH3 platform and provides a considerable amount of bug-fixes and stability enhancements. Alongside these fixes, we have also included a few new features, most notable of which are the following: