Udemy

SAP ABAP - Parallel Processing

Name: SAP ABAP - Parallel Processing
Price: 34.99 USD
Availability: InStock
Rating: 4.6 (484 reviews)

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Korshub's take

Break Through the Performance Ceiling

You've optimized every select query. Your indexes are perfect. Your code follows every ABAP best practice. And the batch job still takes hours. At that point, traditional optimization is exhausted—you need parallel processing. This course teaches you when and how to apply it.

The technique is conceptually straightforward: break enormous data volumes into smaller packets and process them simultaneously across multiple tasks, rather than sequentially. The implementation requires understanding three approaches: RFC function modules with STARTING NEW TASK, the SPTA framework, and background job parallelization. Each has different trade-offs and use cases. For developers hitting the hard ceiling where volume simply overwhelms traditional methods, this is the escape hatch. Processing time drops dramatically when you distribute work across multiple parallel tasks instead of grinding through data one record at a time.

About this course

Every SAP ABAP developer would have definitely encountered issues regarding performance tuning. As an ABAPer, we generally attack the select queries and try to optimize the performance but even after having taken all performance measure as per standard ABAP practices, but there is no significant performance improvement.

below are some scenarios where you need parallel processing,

Client complaining about performance issues, all possible modification to improve performance is already done, but seen not much improvement in performance
Huge data to be process
An SAP standard piece of code in custom report taking a lot of time for execution
Long running background jobs

The course will help you learn different parallel processing techniques in SAP ABAP and help you solve the performance issues in your ABAP report.

In this course we have discussed 3 different ways to achieve parallel processing.

RFC function module with STARTING NEW TASK
SPTA parallel processing framework
Background job parallel processing

The basic concept behind the parallel processing framework is to divide the large volume of data into several small work packets and process different work packets into different tasks, so each work packet will be processed at the same time in parallels, and it will significantly reduce time. Using parallel processing framework we can significantly improve the processing time of any program, particularly where data volume is very high.