摘要:
Disclosed is a data processing system implemented method, a data processing system and an article of manufacture for improving execution efficiency of a database workload to be executed against a database. The database includes database tables, and the database workload identifies at least one of the database tables. The data processing system includes an identification module for identifying candidate database tables being identifiable in the database workload, the identified candidate database tables being eligible for organization under a clustering schema, a selection module for selecting the identified candidate tables according to whether execution of the database workload is improved if the selected identified candidate table is organized according to the clustering scheme, and an organization module for organizing the clustering schema of the selected organized identified candidate tables prior to the database workload being execution against the database.
摘要:
An embodiment of the present invention provides a computer system comprising a first memory and a second memory, where the first memory is substantially faster than second and that performs a method includes steps of: receiving requests for blocks from scan processes; serializing requests for blocks with a request queue; inspecting requests, with a request handler process, R, for blocks and determining whether the requests can be fulfilled from the first memory, if possible; and using an interface for: getting a next data item not yet processed by a calling process, starting a new one-time table access operation, and ending one-time table access operation.
摘要:
A computer implemented method, apparatus, and computer usable program code for deleting rows in a multidimensional clustering database. A multidimensional clustering processor receives a request to delete a set of multidimensionally clustered data. The multidimensional clustering processor determines whether all multidimensionally clustered data is located in a block. Responsive to all multidimensionally clustered data qualifying for deletion, the multidimensional clustering processor deletes all data in the block to delete the set of multidimensionally clustered data.