Solution Guide for Migrating Oracle on UNIX to SQL Server - Willy .Net

<strong>Solution</strong> <strong>Guide</strong> <strong>for</strong> <strong>Migrating</strong> <strong>Oracle</strong> on UNIX to SQL Server on Windows 357Capturing StatisticsSome of the points to be considered <strong>for</strong> capturing statistics are:●●●●Types of data. The type of data being captured — qualitative or quantitative.Characte ristic. The statistic must be relevant to the test being per<strong>for</strong>med. It mustsuit the comparisons being made or analysis to be per<strong>for</strong>med. CPU usagemeasurement is an example of a statistic that is relevant to testing.Unit of measurement. The unit of measurement would be dependent on themagnitude of the measured characteristic. An example is measuring andcomparing memory: the unit to be used is bytes or Mbytes.Frequency. The frequency of measurement of a statistic can be a critical decision.Too much data can be cumbersome and too little could be harmful.Some examples of resources on which statistics can be captured are:● Memory usage of the system● Memory usage of the database● CPU usage● Disk I/O rate● Number of user connections to the database● Procedure cache usage● Number of transactions executed per second● Data cache usage● Network bandwidth usageComparing and Reporting ResultsTest results have only as much value as the inferences that can be drawn from them.Test results can have either a qualitative value or a quantitative value. In a developmentproj ect, the expected behavior of the solution is based solely on business requirements.For a migration, measurements from the existing solution <strong>for</strong>m the expected result.During the testing, the data from the migrated solution is compared with the expectedresults. Deviations from expected results cannot be construed as defects. As a result,analyzing and reporting results is a topic of serious consequence. A thorough analysis ofthe results has to be made and conclusions drawn based on several measurable andnon-measurable factors (assumptions). The capabilities of the systems available <strong>for</strong>per<strong>for</strong>ming stabilization tests may be one such factor.