PLASTIC: reducing query optimization overheads through plan recycling
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Analyzing plan diagrams of database query optimizers
VLDB '05 Proceedings of the 31st international conference on Very large data bases
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SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
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PLASTIC [1] is a recently-proposed tool to help query optimizers significantly amortize optimization overheads through a technique of plan recycling. The tool groups similar queries into clusters and uses the optimizer-generated plan for the cluster representative to execute all future queries assigned to the cluster. An earlier demo [2] had presented a basic prototype implementation of PLASTIC. We have now significantly extended the scope, useability, and efficiency of PLASTIC, by incorporating a variety of new features, including an enhanced query feature vector, variable-sized clustering and a decision-tree-based query classifier. The demo of the upgraded PLASTIC tool is shown on commercial database platforms (IBM DB2 and Oracle 9i).