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Monitoring-a-large-parallel-database-through-dynamic-grouping-and-sequential-sampling

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Monitoring a large parallel database through dynamic grouping and sequential sampling

Details

Inventors: Leung, Tony Kai-Chi; See, Siu Nang; Wong, Stan; Wu, Cheung-Yuk;
Assignee: International Business Machines Corporation (Armonk, NY)
Primary Examiner: Black; Thomas
Assistant Examiner: Chen; Te
Attorney, Agent or Firm: Komanduri; Janaki, Foerster; Ingrid

The present invention discloses a method, apparatus, and article of manufacture for monitoring performance of a parallel database in a computer. In accordance with the present invention, the parallel database is stored on a data storage device in the computer. Groups of database nodes are identified. Collection time periods for collecting performance statistics from the identified group of database nodes are determined. Performance statistics are periodically collected from a subset of each identified group of nodes during the collection time periods. The collected performance statistics are stored in a memory connected to the computer and re-used when collecting performance statistics from one or more groups of database nodes in a succeeding collection time period.

DETAILED DESCRIPTION To overcome the limitations in the prior art described above, and to overcome other limitations that will become apparent upon reading and understanding the present specification, the present invention discloses a method, apparatus, and article of manufacture for monitoring performance of a parallel database in a computer.
In accordance with the present invention, the parallel database is stored on a data storage device in the computer.
Groups of database nodes are identified.
Collection time periods for collecting performance statistics from the identified group of database nodes are determined.
Performance statistics are periodically collected from a subset of each identified group of nodes during collection time periods.
The collected performance statistics are cached and re-used when collecting performance statistics from one or more groups of database nodes in a succeeding collection time period.
An objective of an embodiment of the present invention is to increase the precision of monitoring results returned to a user after successive iterations of monitoring.
A further objective of an embodiment of the present invention is to return the best results possible within a defined time limit and to minimize overhead across all nodes.

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