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Database tuning: principles, experiments, and troubleshooting techniques
Database tuning: principles, experiments, and troubleshooting techniques
A Formal Perspective on the View Selection Problem
Proceedings of the 27th International Conference on Very Large Data Bases
Automatic physical database tuning: a relaxation-based approach
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Recommending Materialized Views and Indexes with IBM DB2 Design Advisor
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
To tune or not to tune?: a lightweight physical design alerter
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
DB2 design advisor: integrated automatic physical database design
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Self-tuning database systems: a decade of progress
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Semi-automatic index tuning: keeping DBAs in the loop
Proceedings of the VLDB Endowment
Developing and visualizing live model queries
Proceedings of the First Workshop on the Analysis of Model Transformations
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Reading and perceiving complex SQL queries has been a time consuming task in traditional database applications for decades. When it comes to decision support systems with automatically generated and sometimes highly nested SQL queries, human understanding or tuning of these workloads becomes even more challenging. This demonstration explores visualization methods to represent queries as graphs. We developed the QueryScope tool to help visualize and understand critical elements of a query, thereby cutting down the learning curve. We show how the tool allows the user to drill down on particular queries or to find similarly structured queries that may exhibit similar tuning opportunities. The queries shown in the demonstration are taken from real tuning engagements.