How to use HRDCT_LOAD_PY_RT - Declustering Tools - Initial Load PY

SAP Transaction Code - Details

• Transaction Code: HRDCT_LOAD_PY_RT

  Description: Declustering Tools - Initial Load PY

  Release: S/4HANA and ECC 6

  Menu Path:

  • Human Resources > Payroll > Europe > Czech Republic > [Pomocné nástroje] > [Nástroje declusteringu - p#evzetí prvotních dat pro výsledky zú#tování]

• • Program: RPCDCT_INITIAL_LOAD

    Screen: 1000

    Authorization Object:

  • Development Package: PC18

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: HRDCT_LOAD_PY_RT - Declustering Tools - Initial Load PY

  RT
  
  Overview:
  HRDCT_LOAD_PY_RT is a SAP transaction code used to decluster payroll results tables (PYRT) in the Human Resources (HR) module. This code is used to improve the performance of the HR system by reducing the amount of data stored in the PYRT tables. 
  
  Functionality: 
  The HRDCT_LOAD_PY_RT transaction code is used to decluster the PYRT tables by reorganizing the data into smaller, more manageable chunks. This helps to reduce the amount of data stored in the PYRT tables, which can improve system performance. Additionally, this code can be used to create a backup of the PYRT tables before any changes are made. 
  
  Step-by-step How to Use: 
  1. Log into SAP and navigate to the HRDCT_LOAD_PY_RT transaction code. 
  2. Select the “Initial Load PYRT” option from the menu. 
  3. Enter the necessary parameters for the declustering process, such as the start and end dates for the declustering process. 
  4. Click “Execute” to begin the declustering process. 
  5. Once complete, a confirmation message will appear indicating that the declustering process was successful. 
  
  Other Recommendations: 
  It is recommended that users back up their PYRT tables before running this transaction code, as it can cause data loss if not done properly. Additionally, users should ensure that they have sufficient disk space available before running this code, as it can require a large amount of storage space depending on how much data is being declustered.