[29] proposed a profiling infrastructure that, during application
run time, logs events from different contexts: instrumented
application events, ADO.NET tracing and Microsoft SQL Server
tracing. After correlating and matching traces from the
application context and those from DBMS context, a
summary/detail view is given involving various attributes like
function names, execution time, number of invocations, SQL text,
number of reads/writes, etc. The “global” profiled data view is the
basis for database application developing tasks like detecting
problematic functions which have caused DB server deadlocks, or
suggesting query hints in application code. Profiling is helpful to
[29] proposed a profiling infrastructure that, during applicationrun time, logs events from different contexts: instrumentedapplication events, ADO.NET tracing and Microsoft SQL Servertracing. After correlating and matching traces from theapplication context and those from DBMS context, asummary/detail view is given involving various attributes likefunction names, execution time, number of invocations, SQL text,number of reads/writes, etc. The “global” profiled data view is thebasis for database application developing tasks like detectingproblematic functions which have caused DB server deadlocks, orsuggesting query hints in application code. Profiling is helpful to
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