Patent
OLAP Query Processing Method Oriented to Database and HADOOP Hybrid Platform
Yan-Song Zhang,Shan Wang +1 more
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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.read more
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References
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Patent
Scalable analysis platform for semi-structured data
Dimitris Tsirogiannis,Nathan A. Binkert,Stavros Harizopoulos,Mehul A. Shah,Benjamin Sowell,Bryan D. Kaplan,Kevin R. Meyer +6 more
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TL;DR: In this paper, the authors present a method for concurrently executing a set of multiple queries through a processor to improve a resource usage within a data warehouse system. But the method does not consider the group of users of the system to simultaneously run queries.