Sharding with Hibernate

how-to
Sep 3, 20101 min

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.

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andrew_glover

When Andrew Glover isn't listening to “Funkytown” or “Le Freak” he enjoys speaking on the No Fluff Just Stuff Tour. He also writes articles for multiple online publications including IBM's developerWorks and O'Reilly’s ONJava and ONLamp portals. Andrew is also the co-author of Java Testing Patterns, which was published by Wiley in September 2004; Addison-Wesley’s Continuous Integration; and Manning’s Groovy in Action.

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