Online Help for Administrators > Administering SHR > Managing data processes

Managing data processes

Using the Data Processing page of the Administration Console, you can view the number and status of the job streams corresponding to each installed Content Pack. You can also configure the job streams and specify a maximum number of retries for the batches in the event of its failure during execution as well as a maximum execution time per step. When the number of retries for a job step exceeds the maximum number allowed, the workflow framework blocks the job stream and generates an error event.

The maximum execution time and maximum retries are two configuration parameters that directly impact the stream execution functionality. In the case of the maximum execution time, setting a very high value can result in delay in identifying hanged processes. Setting a low value can result in the step being marked as Error too often. In addition, the maximum retries option should be set to a positive value only if a retry could result in successful execution. This option is most commonly used to overcome resource unavailability issues.

However, the best way to arrive at the value for the configuration parameters is to understand the use case, test, and arrive at an optimum value.

The number of job steps that are run simultaneously in the workflow framework is proportional to the number of job streams under execution. However, if the number of streams deployed on a system is high, it can result in a very high load on the system, which can lead to system failure. In such a situation, the resource control feature of data processing helps mitigate problems caused by the high load by providing the ability to limit resource usage to configured limits.

By managing the job stream resources, you can:

You can also specify the resource definition details and set limits for the number of streams that can access the resource types concurrently. By default, all resource types are configured with the unlimited count, which means that there is no control based on the resource type.

Using the Data Processing page, you can perform the following job stream administration tasks:


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