How to use /AIF/CONTENT_TEXT - Extraire texte et copier ds tables S


SAP Transaction Code - Details

  • Transaction Code: /AIF/CONTENT_TEXT

    Description: Extraire texte et copier ds tables S

    Release: S/4HANA only

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    • Program: /AIF/CONTENT_EXTRACT_TEXT

      Screen: 1000

      Authorization Object:

    • Development Package: /AIF/S4_CONTENT

      Package Description: S/4 Content delivery logic

      Parent Package: /AIF/S4HANA

    • Module/Component: BC-SRV-AIF

      Description: Application Interface Framework


Smart SAP Assistant

  • SAP Tcode: /AIF/CONTENT_TEXT - Extraire texte et copier ds tables S
    
    Overview:
    The SAP transaction code /AIF/CONTENT_TEXT is used to extract text from the SAP system and copy it to S tables. This transaction code is part of the Application Interface Framework (AIF) and is used to extract text from the SAP system for further processing. 
    
    Functionality:
    The /AIF/CONTENT_TEXT transaction code allows users to extract text from the SAP system and copy it to S tables. This transaction code can be used to extract text from various sources, such as documents, reports, and other objects. The extracted text can then be used for further processing, such as creating reports or analyzing data. 
    
    Step-by-step How to Use:
    1. Enter the transaction code /AIF/CONTENT_TEXT in the command field. 
    2. Select the source of the text you want to extract. 
    3. Enter the name of the table where you want to store the extracted text. 
    4. Select the type of text you want to extract (e.g., plain text, HTML, etc.). 
    5. Click “Execute” to start extracting the text and copying it to the specified table. 
    6. Once the extraction is complete, you can view the extracted text in the specified table. 
    
    Other Recommendations:
    When using this transaction code, it is important to ensure that you have sufficient authorization to access and modify data in the specified table. Additionally, it is recommended that you back up any existing data in the specified table before extracting new text into it, as this could potentially overwrite existing data.
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