How to use MC26 - Display Update

SAP Transaction Code - Details

• Transaction Code: MC26

  Description: Display Update

  Release: S/4HANA and ECC 6

  Menu Path:

  • Tools > ABAP Workbench > Development > SAP Business Workflow > Reporting > Workflow Information System (WIS) > Environment > Updating > Display
  • Tools > Business Workflow > Development > Reporting > Workflow Information System (WIS) > Environment > Updating > Display

• • Program: SAPMMCS1

    Screen: 200

    Authorization Object:

  • Development Package: MCS

    Package Description: R/3 application development: Logistics Information Warehouse

    Parent Package: APPL

  • Module/Component: LO-LIS-DC

    Description: Data Collection

Smart SAP Assistant

• SAP Tcode: MC26 - Display Update

   Statistics
  
  Overview:
  The SAP transaction code MC26 is used to display update statistics. This transaction code is used to view the number of records that have been updated in a table, as well as the time it took to complete the update. It can also be used to view the number of records that were not updated due to errors. 
  
  Functionality: 
  The MC26 transaction code allows users to view the number of records that have been updated in a table, as well as the time it took to complete the update. It can also be used to view the number of records that were not updated due to errors. This information can be used to identify potential performance issues and optimize database updates. 
  
  Step-by-step How to Use: 
  1. Enter transaction code MC26 in the command field. 
  2. Select the table you want to view update statistics for. 
  3. Select “Display” from the menu bar. 
  4. The update statistics will be displayed in a new window. 
  5. To view detailed information about each record, select “Details” from the menu bar. 
  6. To export the update statistics, select “Export” from the menu bar and choose a file format for the export file (e.g., CSV). 
  
  Other Recommendations: 
  It is recommended that users regularly review update statistics for their tables in order to identify potential performance issues and optimize database updates. Additionally, users should ensure that their tables are properly indexed in order to improve query performance and reduce update times.