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Скачать или смотреть Optimization process of reading & writing of SAP HR master data through buffers|| SAP ABAP HR

  • Ambikeya
  • 2023-03-27
  • 68
Optimization process of reading & writing of SAP HR master data through buffers|| SAP ABAP HR
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Описание к видео Optimization process of reading & writing of SAP HR master data through buffers|| SAP ABAP HR

Optimization process of reading & writing of SAP HR master data through buffers Step By Step

In SAP HR, master data refers to the data that is used to manage human resources, such as employee data, organizational structure data, and position data. Reading and writing of this master data can be optimized through the use of buffers.

Buffering is a technique used by SAP to improve the performance of reading and writing data by temporarily storing the data in memory. This reduces the number of database accesses required and improves the overall system performance.

To optimize the reading and writing of SAP HR master data through buffers, the following process can be followed:

Identify the frequently accessed HR master data objects: Determine the HR master data objects that are accessed frequently, such as employee data, organizational structure data, and position data. These objects can be buffered to improve performance.

Set up buffer parameters: Configure the buffer parameters in the SAP system to define the size and behavior of the buffer. These parameters control how often data is read from the database, how long it stays in the buffer, and how much memory is allocated for the buffer.

Activate the buffer: Activate the buffer for the identified HR master data objects. This can be done by setting the buffer type in the object definition in the SAP system.

Monitor buffer performance: Monitor the buffer performance to ensure that it is working effectively. This can be done by monitoring the buffer hit ratio, which indicates the percentage of data accesses that are satisfied by the buffer.

By following this process, the reading and writing of SAP HR master data can be optimized through the use of buffers, resulting in improved system performance and reduced database accesses.

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