A request can include data
that was returned in the response to a previous request. Associating
data in this manner is called data correlation.
Video: Data correlation in Rational Performance Tester
Interactions with an application are typically related to each
other. For example, consider the following interactions with a web-based
application, in which each request depends on information returned
from a previous response:
- A payroll clerk types the web address for an application, which
sends a login prompt. When the clerk logs in, the web server returns
a page that indicates that login has succeeded and a unique session
ID to the web browser that the clerk is using.
- The clerk clicks a link on the returned page, which requests that
the web server open the page for searching the employee database.
The web browser includes the session ID when sending the request.
Based on the session ID, the web server knows that the request comes
from someone who is already logged on, and so opens the search form
for the employee database. The clerk then searches for a specific
employee. The web server returns a photograph of that employee and
the employee's unique ID.
- The clerk clicks a link that requests the web server to return
the payroll record for the employee. With this request, the web browser
sends two IDs:
- The session ID, so that the web server knows that the request
comes from some who is logged on
- The employee ID, so that the web server can locate and return
the correct information
In this example, request 2 depends on request 1, and request
3 depends on requests 1 and 2.
If you record these interactions in a test, before running the
test with multiple users, you would vary the test data. For example,
you would replace the user name and password values, the employee
name search values, or both, with values that datapools contain. When
you run the test, each virtual user returns a different employee payroll
record, based on the contents of the datapools.
In a generated test, where data in a request depends on data that
is contained in the response to a previous request, the request data
is substituted from the response data on which it depends. The term
for this internal linking of response and request data is data
correlation. When you run a test with multiple users and varied
data, data correlation is required to ensure that the test runs correctly.
A
reference is a value in a test (typically in a response)
that can be used by a subsequent value in the test (typically in a
request). When the test generator detects that a request value must
be substituted from a previous value, it designates the earlier value
as a reference and correlates the subsequent request value with the
reference. This process is called
automated data correlation.
You can also manually correlate any two values in a test or unlink
existing correlations.
Note: You can change or disable automated data
correlation. To do so, click , expand Test,
and then click Test Generation.
To help you work with correlated data, the test editor uses color
coding and provides navigational aids:
- When you click a page, you see a Test Data table for that page.
By default, related datapool candidates are shown in green text on
a light green background, values that are already associated with
a datapool are shown in white text on a green background, and references
are shown in blue text.
- If correlated data is not displayed, right-click the table and
verify that Show References is selected. To
navigate directly to a page request containing correlated data, double-click
a table row. To associate correlated data from this table with a datapool,
click the row, click Substitute, and then click Select
Data Source to open the Select Data Source window.
You can also use the Test Data Sources view to
make substitutions. In the test editor, right-click the Test
Data table, and then select Link with Test
Data Sources View. When you click a row in the Test
Data table, the Test Data Sources view
displays information about the selected substitution site.
- When you expand a page, green text indicates page requests that
contain datapool data or candidates. Blue text indicates page requests
that contain references.
- When you click a highlighted request, datapool candidates are
highlighted in light green, data that is associated with a datapool
is highlighted in dark green, and correlated data is highlighted in
red. If you right-click a value for correlated data, as shown in the
example, you can then click Go To to see its
reference:
- References are highlighted in dark blue.