In this lesson, we will we will examine the source of
cube performance statistics, the Query Log, discussing its location and physical
structure, how it is populated, and other characteristics. Next, we will discuss
ways that we can customize the degree and magnitude of statistical capture in
the Query Log to enhance its value with regard to meeting more precisely our
local analysis and reporting needs; we will practice the process of making the
necessary changes in settings to illustrate how this is done. Finally, we will
discuss options for generating more in-depth, custom reports than the wizard
provides, exposing ways that we can directly obtain detailed information
surrounding cube processing events in a manner that allows more sophisticated
selection, filtering and display, as well as more customized reporting of these
important metrics.
The topics within this article include:
- An examination of the Query Log, the source of
cube performance statistics, including its location and physical structure,
how it is populated, and other characteristics;
- Customization of the statistical capture in the
Query Log to enhance its value in meeting local needs;
- Practice surrounding setting changes;
- A discussion of options for generating more
in-depth, custom reports, including direct access of detailed information
surrounding cube processing events to allow more sophisticated selection,
filtering and display, as well as more customized reporting of these
important metrics.
Read the Article ...
About the Series:
This article is a member of the series Introduction
to MSSQL Server 2000 Analysis Services. The series is designed to
provide hands-on application of the fundamentals of MS SQL Server 2000 Analysis
Services, with each installment progressively adding features and techniques
designed to meet specific real - world needs. For more information on the
series, as well as the hardware / software requirements to prepare for the
exercises we will undertake, please see my initial article, Creating Our
First Cube.
Analysis Services, Usage, Utilization, Statistical,
Analysis , Cube, Multidimensional, MSAS, MS Access, Reporting, PivotTable
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