| Partial join order optimization in the paraccel analytic database |
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International Conference on Management of Data
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Proceedings of the 35th SIGMOD international conference on Management of data
table of contents
Providence, Rhode Island, USA
SESSION: Industrial session 4: advances in query optimization
table of contents
Pages 905-908
Year of Publication: 2009
ISBN:978-1-60558-551-2
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Authors
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Yijou Chen
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ParAccel, Inc., Cupertino, CA, USA
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Richard L. Cole
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ParAccel, Inc., Cupertino, CA, USA
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William J. McKenna
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ParAccel, Inc., Cupertino, CA, USA
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Sergei Perfilov
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ParAccel, Inc., Cupertino, CA, USA
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Aman Sinha
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ParAccel, Inc., Cupertino, CA, USA
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Eugene Szedenits, Jr.
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ParAccel, Inc., Cupertino, CA, USA
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ABSTRACT
The ParAccel Analytic Database is a fast shared-nothing parallel relational database system with a columnar orientation, adaptive compression, memory-centric design, and an enhanced query optimizer. This modern object-oriented optimizer and its optimizer framework, known as Volt, provide efficient bulk and instance level query expression representation, multiple expression managers, and rule and cost-based expression transformation organized via multiple optimizer instances. Volt has been applied to the problem of ordering very large numbers of joins by partially ordering them for subsequent optimization using standard dynamic programming. Performance analyses show the framework's utility and the optimizer's effectiveness.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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