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SCALE OUT DATA STORAGE AND QUERY FILTERING USING STORAGE POOLS

机译:使用存储池扩展数据存储和查询筛选

摘要

Performing a distributed query across a storage pool includes receiving a database query at a master node or a compute pool within a database system. Based on receiving the database query, a storage pool within the database system is identified. The storage pool comprises a plurality of storage nodes. Each storage node includes a relational engine, a big data engine, and big data storage. The storage pool stores at least a portion of a data set using the plurality of storage nodes by storing a different partition of the data set within the big data storage at each storage node. The database query is processed across the plurality of storage nodes. Query processing includes requesting that each storage node perform a query operation against the partition of the data set stored in its big data storage and return any data from the partition that is produced by the query operation.
机译:跨存储池执行分布式查询包括在数据库系统内的主节点或计算池处接收数据库查询。基于接收数据库查询,确定数据库系统内的存储池。该存储池包括多个存储节点。每个存储节点包括一个关系引擎,一个大数据引擎和一个大数据存储。通过在每个存储节点的大数据存储器内存储数据集的不同分区,存储池使用多个存储节点存储数据集的至少一部分。跨多个存储节点处理数据库查询。查询处理包括请求每个存储节点对其存储在其大数据存储中的数据集的分区执行查询操作,并从该分区返回由查询操作生成的任何数据。

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