Robust and efficient fuzzy match for online data cleaning
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Efficient set joins on similarity predicates
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Database tuning advisor for microsoft SQL server 2005: demo
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Automatic physical design tuning: workload as a sequence
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Magpie: online modelling and performance-aware systems
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
Bridging the application and DBMS divide using static analysis and dynamic profiling
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
AppSleuth: a tool for database tuning at the application level
Proceedings of the 16th International Conference on Extending Database Technology
Proceedings of the 16th International Conference on Extending Database Technology
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In today's world, tools for profiling and tuning application code remain disconnected from the profiling and tuning tools for relational DBMSs. This makes it challenging for developers of database applications to profile, tune and debug their applications, for example, identifying application code that causes deadlocks in the server. We have developed an infrastructure that simultaneously captures both the application context as well as the database context, thereby enabling a rich class of tuning, profiling and debugging tasks that is not possible today. We have built a tool using this infrastructure that enables developers to seamlessly profile, tune and debug ADO.NET applications over Microsoft SQL Server by taking advantage of information across the application and database contexts. We describe and evaluate several tasks that can be accomplished using this tool.