Distributed partitioned map reduce using a data fabric

TL;DR: In this article, a distributed partitioned map reduce (DPMR) system is presented, where a service node is configured to provide partition task logic to the plurality of partitions.

Abstract: A system for a distributed partitioned map reduce includes a plurality of nodes, a plurality of partitions, and a service node. The one or more partitions of the plurality of partitions are stored on a first node of the plurality of nodes. The service node is configured to receive a task from a client application system. The client application system receives a request to perform the task from a requestor. The client application system selects a service node to manage execution of the task. The client application system provides the service node the task. The service node is configured to provide partition task logic to the plurality of partitions. The partition task logic includes a partition task map reduce. The service node is configured to receive partition results from the plurality of partitions, execute a service node reduce to determine a service node result, and provide the service node result.