Answering XML Queries on Heterogeneous Data Sources
Proceedings of the 27th International Conference on Very Large Data Bases
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
XML and relational database management systems: inside Microsoft® SQL Server™ 2005
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Query caching and view selection for XML databases
VLDB '05 Proceedings of the 31st international conference on Very large data bases
ULoad: choosing the right storage for your XML application
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Rewriting nested XML queries using nested views
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
DB2 goes hybrid: integratng native XML and XQuery with relational data and SQL
IBM Systems Journal
An XML transaction processing benchmark
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Schema advisor for hybrid relational-XML DBMS
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
LegoDB: customizing relational storage for XML documents
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
MARS: a system for publishing XML from mixed and redundant storage
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
A framework for using materialized XPath views in XML query processing
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
DB2 design advisor: integrated automatic physical database design
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Structured materialized views for XML queries
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
XML Index Recommendation with Tight Optimizer Coupling
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Query Rewrites with Views for XML in DB2
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Materialized view selection for XQuery workloads
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Optimizing XML queries: Bitmapped materialized views vs. indexes
Information Systems
Recommending XML physical designs for XML databases
The VLDB Journal — The International Journal on Very Large Data Bases
| Hi-index | 0.00 |
Physical structures, for example indexes and materialized views, can improve query execution performance by orders of magnitude. Hence, it is important to choose the right configuration of these physical structures for a given database. In this paper, we discuss the types of materialized views that are suitable for an XML database. We then focus on XMLTable materialized views and present a procedure to recommend them given an XML database and a workload of XQuery queries. We have implemented our XMLTable View Advisor in a prototype version based on IBM® DB2® V9.7, which supports both relational and XML data, and we experimentally demonstrate the effectiveness of our advisor's recommendations.