eG Help

Monitoring the clients that are communicating with the Peoplesoft Process Scheduler and their experience with the Scheduler, will accurately point administrators to clients who are imposing the maximum load on the Scheduler and the clients whose experience with the Scheduler is below-par. This is exactly what the PepPrsClientTest does.

This test automatically discovers the clients who are currently connected to the Scheduler, reports the number of active sessions for each client, and also reveals the number of transactions of every client that have been committed and aborted. In the process, the test pinpoints those clients who have launched too many sessions on the Scheduler; in the event that the Scheduler chokes, such clients could be considered guilty of overloading it. Additionally, the test reveals which client’s transactions were aborted often, rendering such clients unable to complete their transactions; this in turn may disrupt the business flow and adversely impact experience with the Scheduler.

Measurement	Description	Measurement Unit	Interpretation
No_of_clients	Indicates the number of sessions currently active for this client.	Number	This is a good indicator of the workload currently imposed by a client on the Process Scheduler in a domain. In the event of an overload, you can compare the value of this measure across clients to know which client is contributing to the overload by launching many sessions on the Scheduler. You can also use the detailed diagnosis of this measure to know which users are communicating with the Scheduler via the client, the duration of each user’s session with the Scheduler, and the current status of the session. With the help of this information, administrators can in no time isolate those sessions that are idle, but are unnecessarily consuming resources and adding to the server load. By closing such sessions, administrators can conserve server resources and reduce load.
Avg_begins	Indicates the average number of transactions started by this client.	Number
Avg_commits	Indicates the average number of transactions committed by this client.	Number
Avg_abort	Indicates the percentage of unused connections in this pool.	Number	Ideally, the value of this measure should be low. A high value could indicate the incidence of many transactional errors that are causing the transactions to abort. You may want to compare the value of this measure across clients to know which client’s transactions aborted the most, thus leading administrators to those clients who may not have a had a good experience with the Scheduler.