Abstract: Several methods and a system of a workload management of a concurrently accessed database server are disclosed. In one embodiment, a method includes applying a weight to a service class. The method also includes generating a priority of the service class. In addition, the method includes selecting a group based on the weight of the service class. The method further includes determining a priority level based on the priority of the service class. The method also includes generating a characteristic of a shadow process through the weight and the priority of the service class. In addition, the method includes executing a query.
Type:
Application
Filed:
April 5, 2011
Publication date:
October 11, 2012
Applicant:
Aster Data Systems, Inc.
Inventors:
DANIEL BRAGA DE FARIA, Mohit Aron, Hariharan Kolam Govindarajan
Abstract: A system and method of massively parallel data processing are disclosed. In an embodiment, a method includes generating an interpretation of a customizable database request which includes an extensible computer process and providing an input guidance to available processors of an available computing environment. The method further includes automatically distributing an execution of the interpretation across the available computing environment operating concurrently and in parallel, wherein a component of the execution may be limited to at least a part of an input data. The method also includes automatically assembling a response using a distributed output of the execution.
Abstract: A system and method of massively parallel data processing are disclosed. In an embodiment, a method includes generating an interpretation of a customizable database request which includes an extensible computer process and providing an input guidance to available processors of an available computing environment. The method further includes automatically distributing an execution of the interpretation across the available computing environment operating concurrently and in parallel, wherein a component of the execution may be limited to at least a part of an input data. The method also includes automatically assembling a response using a distributed output of the execution.
Abstract: In one embodiment, a method includes concurrently executing a set of multiple queries, through a processor, to improve a resource usage within a data warehouse system. The method also includes permitting a group of users of the data warehouse system to simultaneously run a set of queries. In addition, the method includes applying a high-concurrency query operator to continuously optimize a large number of concurrent queries for a set of highly concurrent dynamic workloads.