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Transaction Code: FINS_MASS_LOG_DRIVER
Description: Mass Data Framework: Log Driver
Release: S/4HANA only
Program: FINS_MASS_DATA_LOG_DRIVER
Screen: 1000
Authorization Object:
Development Package: FINS_FI_MASS_DATA
Package Description: Financial Accounting (SAP_FIN): Mass Data Handling
Parent Package: FINS_FI
Module/Component: FIN-MIG
Description: SAP Simple Finance data migration
Overview: The SAP transaction code FINS_MASS_LOG_DRIVER is used to access the Mass Data Framework Log Driver. This tool is used to manage and monitor the data transfer process between the source and target systems. It provides a graphical user interface (GUI) to view the status of data transfer jobs, as well as to start, stop, and delete them. Functionality: The Mass Data Framework Log Driver is used to monitor and manage data transfer jobs between source and target systems. It provides a graphical user interface (GUI) to view the status of data transfer jobs, as well as to start, stop, and delete them. The Log Driver also allows users to view detailed information about each job, such as the job name, start time, end time, duration, and status. Step-by-step How to Use: 1. Access the Mass Data Framework Log Driver by entering the SAP transaction code FINS_MASS_LOG_DRIVER in the command field. 2. The Log Driver will open in a new window. 3. In the left pane of the window, you will see a list of all available data transfer jobs. 4. Select a job from the list to view its details in the right pane of the window. 5. To start or stop a job, select it from the list and click on either the “Start” or “Stop” button at the top of the window. 6. To delete a job, select it from the list and click on the “Delete” button at the top of the window. 7. To view detailed information about a job, select it from the list and click on either “Job Details” or “Job History” at the top of the window. Other Recommendations: It is recommended that users familiarize themselves with all available options in order to make full use of this tool. Additionally, users should be aware that some data transfer jobs may take longer than others depending on their complexity and size.
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