As I’ve pointed out before, sharding isn’t for everyone, but it’s one way that relational systems can meet the demands of huge data. For some shops, sharding means being able to keep a trusted database like MySQL in place without sacrificing data scalability or system performance. In this installment of the Java development 2.0 series, dubbed “Sharding with Hibernate Shards” find out when sharding works, and when it doesn’t, and then get your hands busy sharding a simple Hibernate & Spring application capable of handling terabytes of data.
Sharding with Hibernate
Posted by:
Andrew Glover
on 09/03/2010
Andrew Glover's complete blog can be found at: http://thediscoblog.com/
About Andrew Glover
Andrew is the founder of the easyb BDD framework and the co-author of Addison Wesley's "Continuous Integration", Manning's "Groovy in Action" and "Java Testing Patterns". He is an author for multiple online publications including IBM's developerWorks and Oreilly's ONJava and ONLamp portals. He actively blogs about software at thediscoblog.com.
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