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Charles Lamb's Thoughts on Berkley DB Java Edition

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Charles Lamb's Thoughts on Berkley DB Java Edition

· Database Zone
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Learn how to create flexible schemas in a relational database using SQL for JSON.

Charles Lamb recently commented on the improved performance of Berkley DB JE release 5.x.  He claims that the Oracle NoSQL solution has benefited from this, as the Berkley DB JE is the core engine.  From Charles Lamb's blog:

Cleaner performance has a direct impact on predictability and throughput in Oracle NoSQL Database. A cleaner that is too aggressive will consume too many resources and negatively affect system throughput. A cleaner that is not aggressive enough will allow the disk storage to become inefficient over time. It has to

  1. Work well out of the box, and
  2. Needs to be configurable so that customers can tune it for their specific workloads and requirements.

The JE Cleaner has been field tested in production for many years managing instances with hundreds of GBs to TBs of data. The maturity of the cleaner and the entire underlying JE storage system is one of the key advantages that Oracle NoSQL Database brings to the table -- we haven't had to reinvent the wheel.

Create flexible schemas using dynamic columns for semi-structured data. Learn how.

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