2013 IEEE 29th International Conference on Data Engineering (ICDE) (2013)
Brisbane, Australia Australia
Apr. 8, 2013 to Apr. 12, 2013
Juchang Lee , SAP Labs., Seoul, South Korea
Yong Sik Kwon , SAP Labs., Seoul, South Korea
F. Farber , SAP AG, Walldorf, Germany
M. Muehle , SAP AG, Walldorf, Germany
Chulwon Lee , SAP Labs., Seoul, South Korea
C. Bensberg , SAP AG, Walldorf, Germany
Joo Yeon Lee , SAP Labs., Seoul, South Korea
A. H. Lee , Claremont McKenna Coll., USA
W. Lehner , Dresden Univ. of Technol., Dresden, Germany
One of the core principles of the SAP HANA database system is the comprehensive support of distributed query facility. Supporting scale-out scenarios was one of the major design principles of the system from the very beginning. Within this paper, we first give an overview of the overall functionality with respect to data allocation, metadata caching and query routing. We then dive into some level of detail for specific topics and explain features and methods not common in traditional disk-based database systems. In summary, the paper provides a comprehensive overview of distributed query processing in SAP HANA database to achieve scalability to handle large databases and heterogeneous types of workloads.
Query processing, Routing, Distributed databases, Business, Servers
Juchang Lee et al., "SAP HANA distributed in-memory database system: Transaction, session, and metadata management," 2013 29th IEEE International Conference on Data Engineering (ICDE 2013)(ICDE), Brisbane, QLD, 2013, pp. 1165-1173.