How to use CVRE - Read Archived Tables

SAP Transaction Code - Details

• Transaction Code: CVRE

  Description: Read Archived Tables

  Release: S/4HANA and ECC 6

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: CV

    Package Description: Document Management

    Parent Package: APPL

  • Module/Component: CA-DMS

    Description: Document Management System

Smart SAP Assistant

• SAP Tcode: CVRE - Read Archived Tables

  
  Overview:
  The SAP transaction code CVRE is used to read archived tables. This code allows users to access archived data stored in the SAP system. It is a useful tool for retrieving data that has been archived for a long period of time. 
  
  Functionality: 
  The CVRE transaction code enables users to read archived tables in the SAP system. It allows users to access archived data stored in the system, such as customer information, sales orders, and other important data. The code also allows users to view the archived data in a graphical format, making it easier to understand and analyze. 
  
  Step-by-step How to Use: 
  To use the CVRE transaction code, follow these steps 
  1. Log into the SAP system and enter the CVRE transaction code. 
  2. Select the table you want to view from the list of available tables. 
  3. Select the fields you want to view from the list of available fields. 
  4. Select the graphical format you want to view the data in (e.g., bar chart, pie chart, etc.). 
  5. Click “Execute” to view the archived table in the selected format. 
  
  Other Recommendations: 
  When using the CVRE transaction code, it is important to remember that only archived tables can be viewed with this code. It is also important to note that only certain fields can be viewed with this code, so it is important to select only those fields that are necessary for viewing the desired data. Additionally, it is recommended that users familiarize themselves with the graphical formats available for viewing data before using this code, as this will make it easier to understand and analyze the data being viewed.