|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/sap-abap-parallel-processing/
课程评论：没有评论
**SAP ABAP - 并行处理课程总结** 本课程面向所有遇到性能调优问题的SAP ABAP开发者。当标准的SELECT查询优化和ABAP性能实践未能显著改善性能时，就需要考虑并行处理。课程涵盖了以下典型场景： * 客户抱怨性能问题，所有可行的优化措施均已尝试但效果甚微。 * 需要处理海量数据。 * SAP标准代码在自定义报表中执行时间过长。 * 长时间运行的后台作业。 本课程将帮助您掌握SAP ABAP中不同的并行处理技术，并解决ABAP报表的性能瓶颈。 课程内容主要集中在三种实现并行处理的方法： 1. **带`STARTING NEW TASK`的RFC函数模块：** 利用远程函数调用（RFC）实现任务的并行启动。 2. **ALE（Application Link Enabling）并行处理框架：** 探讨ALE在并行处理中的应用。 3. **后台作业并行处理：** 利用后台作业机制进行并行化。 并行处理框架的核心思想是将海量数据分割成若干个较小的“工作包”，然后将这些工作包分配给不同的任务并行处理。通过这种方式，可以显著缩短整体处理时间，尤其是在数据量巨大的情况下，能够大幅提升程序的处理效率。
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 performanceHuge data to be processAn SAP standard piece of code in custom report taking a lot of time for executionLong running background jobsThe 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 TASKSPTA parallel processing frameworkBackground job parallel processingThe 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.
