Parallel processing is a built-in option available with many SAP programs that helps improve the throughput and processing time of business transactions that must process large amounts of data in a tight time frame. This article shows you how to determine whether parallel processing is the right course of action, how the workload is split up to achieve greater throughput, the options available to you to maximize performance, and how to use concurrent batch jobs when parallel processing is not an option automatically provided by the program. It also points out the two most common parallel-processing pitfalls and how to avoid them.
Susanne Janssen
Susanne Janssen joined SAP in 1997. She is currently a member of SAP AG’s Performance & Benchmark Group, a team consisting of performance specialists who consult and support SAP colleagues and customers on mySAP.com performance and scalability. Her responsibilities include information rollout for performance, benchmarks, and sizing. Susanne is also co-developer of the Quick Sizer, SAP’s web-based sizing tool.
You may contact the author at susanne.janssen@sap.com.
If you have comments about this article or publication, or would like to submit an article idea, please contact the editor.

Werner Schwarz
Werner Schwarz joined SAP Retail Solutions in October 1998 after working as a developer at two other IT companies. Today, he is the development team contact for all performance-related issues concerning the IBS-CI (Industry Business Sector - Consumer Industries). Werner’s major tasks include information rollout and support of his colleagues regarding performance during both development and maintenance.
You may contact the author at werner.schwarz@sap.com.
If you have comments about this article or publication, or would like to submit an article idea, please contact the editor.