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Patent

OLAP Query Processing Method Oriented to Database and HADOOP Hybrid Platform

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TLDR
In this paper, an OLAP query processing method oriented to a database and Hadoop hybrid platform is described, where the database technology and the hadoop technology are combined, and the storage performance of the database and the high expandability and high availability of the Hadoops are combined; the database query processing and the MapReduce query processing are integrated in a loosely-coupled mode.
Abstract
An OLAP query processing method oriented to a database and Hadoop hybrid platform is described. When OLAP query processing is performed, the processing is executed first on a main working copy, and a query processing result is recorded in an aggregate result table of a local database; when a working node is faulty, node information of a fault-tolerant copy corresponding to the main working copy is searched for through namenode, and a MapReduce task is invoked to complete the OLAP query processing task on the fault-tolerant copy. The database technology and the Hadoop technology are combined, and the storage performance of the database and the high expandability and high availability of the Hadoop are combined; the database query processing and the MapReduce query processing are integrated in a loosely-coupled mode, thereby ensuring the high query processing performance, and ensuring the high fault-tolerance performance.

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