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Partial join order optimization in the paraccel analytic database
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International Conference on Management of Data archive
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
Authors
Yijou Chen  ParAccel, Inc., Cupertino, CA, USA
Richard L. Cole  ParAccel, Inc., Cupertino, CA, USA
William J. McKenna  ParAccel, Inc., Cupertino, CA, USA
Sergei Perfilov  ParAccel, Inc., Cupertino, CA, USA
Aman Sinha  ParAccel, Inc., Cupertino, CA, USA
Eugene Szedenits, Jr.  ParAccel, Inc., Cupertino, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, 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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Collaborative Colleagues:
Yijou Chen: colleagues
Richard L. Cole: colleagues
William J. McKenna: colleagues
Sergei Perfilov: colleagues
Aman Sinha: colleagues
Eugene Szedenits, Jr.: colleagues