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AUTO-SCALING A QUERY ENGINE FOR ENTERPRISE-LEVEL BIG DATA WORKLOADS

机译:自动扩展企业级大数据工作负载的查询引擎

摘要

A method, computer program product, and system for auto-scaling a query engine are disclosed. The method includes one or more processors monitoring query traffic at the query engine. The method further includes one or more processors classifying queries by a plurality of service classes based on a level of complexity of a query. The method further includes one or more processors comparing query traffic for each service class with a concurrency threshold of a maximum number of queries of the service class allowed to be concurrently processed. The method further includes one or more processors instructing auto-scaling of a cluster of worker nodes to changed number of worker nodes available in the cluster based on the comparison, over a defined period of time, of the query traffic relative to a defined upscaling threshold and a defined downscaling threshold.
机译:公开了一种用于自动缩放查询引擎的方法、计算机程序产品和系统。该方法包括一个或多个处理器,在查询引擎处监控查询流量。该方法还包括一个或多个处理器,该处理器基于查询的复杂程度,通过多个服务类对查询进行分类。该方法还包括一个或多个处理器,将每个服务类的查询流量与允许并发处理的服务类的最大查询数的并发阈值进行比较。该方法还包括一个或多个处理器,基于在定义的时间段内查询通信量相对于定义的放大阈值和定义的缩小阈值的比较,指示将工作节点集群自动缩放到集群中可用的已更改工作节点数量。

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