Cloudera Developer Blog · HBase Posts
Unbelievably, HBaseCon 2013 is only one week away (June 13 in San Francisco)!
As we march toward HBaseCon 2013 (June 13 in San Francisco), it’s time to bring you a preview of the Internals track (see the Operations track preview here) — the track guaranteed to be of most interest to Apache HBase developers and other people tracking the progress of the code base.
As you have probably learned by now, HBaseCon 2013 sessions are organized into four tracks: Operations, Internals, Ecosystem, and Case Studies. In combination, they offer a 360-degree view of Apache HBase that is invaluable for experts and aspiring experts alike. In the next few posts leading up to the conference (June 13 in San Francisco – register now while there’s still room), we’ll offer sneak previews of what each track has to offer.
The schedule/agenda grid for HBaseCon 2013 (rapidly approaching: June 13 in San Francisco) is a thing of beauty.
HBaseCon 2013 is approaching fast – June 13 in San Francisco. If you’re on the fence about attending – or perhaps your manager is on the fence about approving your participation – here are a few things that you/they need to know (in no particular order):
- HBaseCon is the annual rallying point for the HBase community. If you’ve ever had a desire to learn how to get involved in the community as a contributor, or just want to ask a committer or PMC member why things are done (or not done) a certain way, this is your opportunity – because this is where those people are. Participating in a mailing list thread is never quite the same once you’ve met the people behind it.
- HBaseCon is a one-stop shop for learning about the HBase roadmap, as well as other projects across the ecosystem. Current HBase users should be particularly interested in learning about which JIRAs will have the most impact on the user experience – and once again, most of the committers working on those JIRAs will either be leading sessions or otherwise present. Plus, you can learn about how new complementary projects like Impala, Kiji, Phoenix, and Honeycomb are transforming the use cases for HBase and helping to expand its footprint across the enterprise.
- HBaseCon is a feast of real-world experiences and use cases. Sure, maybe you’ve read about the HBase-backed applications used by companies like Facebook, Salesforce.com, eBay, Pinterest, and Yahoo!. But wouldn’t it be helpful to hear technical details and best practices directly from the people who built and run them? I’ll bet it would. And you really can’t do that anywhere else — in the whole world. (Plus, you can take advantage of formal training right before the conference, at a discount.)
- HBaseCon is a pageant of engineer rock-stars. If your company is an HBase user and hungry for talent, there’s no better place to find it: HBaseCon is literally the world’s biggest gathering of HBase experts under one roof.
- HBaseCon is a heck of a blast. Come for the deep-dives and advice, stay for the after-event party. The libations will be extensive!
The post below was originally published at blogs.apache.org/hbase. We re-publish it here for your convenience.
Apache HBase is a distributed big data store modeled after Google’s Bigtable paper. As with all distributed systems, knowing what’s happening at a given time can help spot problems before they arise, debug on-going issues, evaluate new usage patterns, and provide insight into capacity planning.
This post was originally published via blogs.apache.org, we republish it here in a slightly modified form for your convenience:
At first glance, the Apache HBase architecture appears to follow a master/slave model where the master receives all the requests but the real work is done by the slaves. This is not actually the case, and in this article I will describe what tasks are in fact handled by the master and the slaves.
Regions and Region Servers
This how-to is the second in a series that explores the use of the Apache HBase REST interface. Part 1 covered HBase REST fundamentals, some Python caveats, and table administration. Part 2 below will show you how to insert multiple rows at once using XML and JSON. The full code samples can be found on GitHub.
Adding Rows With XML
The REST interface would be useless without the ability to add and update row values. The interface gives us this ability with the
POST verb. By posting new rows, we can add new rows or update existing rows using the same row key.