Feeds

VMware mashes up Hadoop with Spring

Corralling that big data elephant inside a framework

Reducing the cost and complexity of web vulnerability management

VMware has taken its Spring Java application framework and integrated it with the open source Apache Hadoop distribution to create a mashup that it's calling – somewhat unimaginatively – Spring Hadoop.

VMware might be the juggernaut of server virtualization and a serious contender for building public and private clouds, but the company knows that it has to move up the stack from infrastructure to application platforms if it wants to keep growing. That means leveraging the Spring application development framework to hook into all kinds of modern applications, such as the Hadoop MapReduce data muncher.

Analytics departments are bound to welcome anything that makes it easier to combine Apache Hadoop, its Hadoop Distributed File System, and add-ons such as the Pig high-level data analytics language, Hive data warehouse, and SQL-like ad hoc query language. That's the raison d'être of Spring Hadoop, which is part of the Spring Data "umbrella" that allows the framework to hook into relational databases, data grids, key/value stores, document stores, and MapReduce tools such as Hadoop.

VMware will unveil Spring Hadoop at the Strata Conference currently underway in Santa Clara, California, but Costin Leau, a staff engineer at the SpringSource division of VMware, let the elephant out of the bag in a blog post ahead of the formal unveiling of Spring Hadoop 1.0.0.M1.

"Whether one is writing stand-alone, vanilla MapReduce applications, interacting with data from multiple data stores across the enterprise, or coordinating a complex workflow of HDFS, Pig, or Hive jobs, or anything in between, Spring Hadoop stays true to the Spring philosophy offering a simplified programming model and addresses 'accidental complexity' caused by the infrastructure," Leau explained.

Spring Hadoop is available for download for free, and is open source under the Apache 2.0 license, just like Apache Hadoop and the Spring framework.

For you Hadoop-heads out there, here are the features that VMware is calling out with the first Spring Hadoop release:

  • Support for configuration, creation, and execution of MapReduce, Streaming, Hive, Pig, and Cascading jobs via the Spring container
  • Comprehensive HDFS data access support through JVM scripting languages (Groovy, JRuby, Jython, Rhino, etc.)
  • Declarative configuration support for HBase
  • Dedicated Spring Batch support for developing workflow solutions that incorporate HDFS operations and all types of Hadoop jobs
  • Support for use with Spring Integration that provides access to a wide range of existing systems using an extensible event-driven pipes and filters architecture
  • Hadoop configuration options and a templating mechanism for client connections to Hadoop
  • Declarative and programmatic support for Hadoop Tools, including FsShell and DistCp

Take a peek into the reference manual, and you'll see that you need to have systems configured with JDK 6.0 (the same as required by Hadoop itself) with Spring Framework 3.1 recommended, although the 3.0 release is technically supported as well. You can use Apache Hadoop 0.20.2, but the 1.0.0 release is also recommended by VMware. The Hadoop-released HBase 0.90.X, Hive 0.7.X, and Pig 0.9.X and above projects are supported. ®

Reducing the cost and complexity of web vulnerability management

More from The Register

next story
Wanna keep your data for 1,000 YEARS? No? Hard luck, HDS wants you to anyway
Combine Blu-ray and M-DISC and you get this monster
US boffins demo 'twisted radio' mux
OAM takes wireless signals to 32 Gbps
Apple flops out 2FA for iCloud in bid to stop future nude selfie leaks
Millions of 4chan users howl with laughter as Cupertino slams stable door
Students playing with impressive racks? Yes, it's cluster comp time
The most comprehensive coverage the world has ever seen. Ever
Run little spreadsheet, run! IBM's Watson is coming to gobble you up
Big Blue's big super's big appetite for big data in big clouds for big analytics
Seagate's triple-headed Cerberus could SAVE the DISK WORLD
... and possibly bring us even more HAMR time. Yay!
prev story

Whitepapers

Secure remote control for conventional and virtual desktops
Balancing user privacy and privileged access, in accordance with compliance frameworks and legislation. Evaluating any potential remote control choice.
WIN a very cool portable ZX Spectrum
Win a one-off portable Spectrum built by legendary hardware hacker Ben Heck
Intelligent flash storage arrays
Tegile Intelligent Storage Arrays with IntelliFlash helps IT boost storage utilization and effciency while delivering unmatched storage savings and performance.
High Performance for All
While HPC is not new, it has traditionally been seen as a specialist area – is it now geared up to meet more mainstream requirements?
Beginner's guide to SSL certificates
De-mystify the technology involved and give you the information you need to make the best decision when considering your online security options.