POP/FED: Progressive Query Optimization for Federated Queries in DB2

VLDB 2006 - Proceedings of the 32nd International Conference on Very Large Data Bases

Volumn , Issue , 2006, Pages 1175-1178

  Kache, Holger ^a   Han, Wook Shin ^a   Markl, Volker ^a   Raman, Vijayshankar ^a   Ewen, Stephan ^b  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b IBM Boeblingen Lab   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

QUERY LANGUAGES; STATISTICS;

ACCESSING DATA; DATA-SOURCE; FEDERATED QUERIES; FEDERATED SERVERS; PROGRESSIVE QUERIES; QUERIES OPTIMIZATION; RELATIONAL DATA; RELATIONAL QUERIES; REMOTE DATA SOURCES; REOPTIMIZATION;

QUERY PROCESSING;

EID: 85134428207     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Aboulnaga, A., Haas, P., Lightstone, S., Lohman, G., Markl, V., Popivanov, I., and Raman, V. Automated Statistics Collection in DB2 Stinger, Proc. VLDB 2004.
2. Ewen, S., Kache, H., Markl, V., and Raman, V., Progressive Query Optimization for Federated Queries. Proc. EDBT 2006 (accepted).
3. IBM DB2 Information Integrator Federated Systems Guide Version 8.2, IBM Corp 2004.
4. Mark, V., Raman, V., Simmen, G., Lohman, G., Priahesh, H., and Cilimdzic, M. Robust Query Processing through Progressive Optimization. Proc. ACM SIGMOD 2004.
5. Stillger, M., Lohman, G., Markl, V., and Kandil, M. LEO – DB2’s Learning Optimizer, Proc. VLDB 2001.
6. Zaharioudakis, M., Cochrane, R., Lapis, G., Pirahesh, H., and Urata, M. Answering Complex SQL Queries Using Automatic Summary Tables, Proc. ACM SIGMOD 2000.