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A metadata generation method for massive data in distributed databases

机译:用于分布式数据库中海量数据的元数据生成方法

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Being advertisements for source data, metadata is the very portal through which distributed-massive-data applications find data, but metadata generated by traditional methods cannot be automatically updated the time its source data changed. Generally speaking, it is just the data changed that users pay far most attention. So these methods cannot satisfy real-time navigating and instantly providing data requirement from the above applications. To solve the problem, a new method based on database triggers is presented to generate metadata dynamically, also design for data access engine based on metadata is introduced, in which both navigating and monitoring functions of metadata are applied, and it justified that dynamical generation of metadata can satisfied instantly finding and supplying data requirement from real-time distributed-massive-data applications.
机译:作为源数据的广告,元数据是分布式海量数据应用程序通过其查找数据的门户,但是由传统方法生成的元数据无法在其源数据更改时自动更新。一般来说,用户最关注的只是数据的更改。因此,这些方法不能满足实时导航和即时提供上述应用程序提供的数据要求。为了解决该问题,提出了一种基于数据库触发器的动态生成元数据的新方法,并介绍了一种基于元数据的数据访问引擎的设计方法,该方法同时应用了元数据的导航和监视功能,证明了动态生成元数据是合理的。元数据可以满足从实时分布式海量数据应用程序中即时查找和提供数据需求。

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