Less14 3 e_loadmodule_4

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Copyright © 2008, Oracle. All rights reserved. Reports & Graphs Introduction to Oracle Application Testing Suite: e-Load

description

This is part of R12 Testing Suite for Oracle Applications or E-Business suite.

Transcript of Less14 3 e_loadmodule_4

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Reports & Graphs

Introduction to Oracle Application Testing Suite: e-Load

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Reports & Graphs

Generates Graphs and Charts to help analyze potential bottlenecks

Allows you to chart historic test data with recently executed test data

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Reports & Graphs

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Session Report

Session report is an overview of the test

May be exported to a CSV file for portability and distribution of results

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Create Graphs

Provides solid data for later use regarding the last test

Provides statistics for Script Execution Times

Provides metrics such as the following:

• Total Virtual Users

• Transactions (Script Executions) per Second

• Pages & Hits per Second

• Total Transactions Executed

Contains last executed Virtual User configuration

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Create Graphs

Click on New Graph to generate a new graph

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Create Graphs

Filters let you select which Data Series to plot on the graph

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Create Graphs

You can save the graph in various formats

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Performance vs. Time

Performance vs. Time:

• Gives script completion times during the total test execution.

• This trend should remain flat unless a defect occurs within the web application.

• A bottleneck will cause performance time (script completion times) to increase

• Invalid server responses may cause decreases in performance times.

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Performance vs. Time

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Errors vs. Time

Errors vs. Time:

• Number of errors encountered at the time of execution

• Should always remain at zero.

• Occasional spikes mean occasional failures.

• Increasing spike frequency over time may indicate that the server cannot withstand the existing load without throwing an error.

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Errors vs. Time

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Errors vs. Users

Errors vs. Users:

• Same as “Errors vs. Time” except that the graph is plotted over the total number of users run during the test.

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Errors vs. Users

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Performance vs. Users

Performance vs. Users:

• Shows script completion times given vs. the total active users.

• Graph should remain flat unless a defect occurs within the web application.

• A bottleneck will cause performance time to increase.

• Invalid server responses will cause the performance time to decrease.

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Performance vs. Users

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Statistics vs. Time

Statistics vs. Time:

• Shows Kilobytes/Second, Transactions/Second, Pages/Second, and Hits/Second.

• As users continue to increase, KB/Sec should increase.

• If KB/Sec remains does not increase given increasing users, there may be a an issue with the application keeping up with the load applied.

• If KB/Sec decreases given increasing users, a bottleneck may exist.

• Heavy KB/Sec fluctuations may indicate unstable servers given the current load.

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Statistics vs. Time

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Statistics vs. Users

Statistics vs. Users:

• Same as Statistics vs. Time but potted over the actual number of users run during the test.

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Statistics vs. Users

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