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SCALE OUT DATA STORAGE AND QUERY FILTERING USING DATA POOLS

机译:使用数据池扩展数据存储和查询筛选

摘要

Performing a distributed query across a data 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 data pool within the database system is identified. The data pool comprises a plurality of data nodes. Each data node includes a relational engine and relational storage. Each node in the data pool caches a different partition of data from an external data source in its relational storage. The database query is processed across the plurality of data nodes. Query processing includes requesting that data node perform a filter operation against its cached partition of the external data source stored in its relational storage and return any data from the partition that matches the filter operation.
机译:跨数据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。基于接收到数据库查询,识别数据库系统内的数据池。数据池包括多个数据节点。每个数据节点都包括一个关系引擎和关系存储。数据池中的每个节点都将来自外部数据源的不同数据分区缓存在其关系存储中。跨多个数据节点处理数据库查询。查询处理包括请求数据节点对其存储在其关系存储器中的外部数据源的缓存分区执行过滤操作,并从该分区返回与过滤操作匹配的任何数据。

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