How To Fix RSLPO_DFG100 - Maximum number of errors for each package (&1) is consistent

RSLPO_DFG100 - Overview

• Message type: E = Error

• Message class: RSLPO_DFG - Messages for Data-Flow Generation

• Message number: 100

• Message text: Maximum number of errors for each package (&1) is consistent

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

RSLPO_DFG100 - Details

• The SAP error message RSLPO_DFG100 indicates that the maximum number of errors for a data package has been reached during a data load or data processing operation. This typically occurs in the context of data extraction, transformation, and loading (ETL) processes, particularly when using SAP Data Services or similar tools.
  
  Cause:
  
  Data Quality Issues: The most common cause of this error is that the data being processed contains errors that exceed the predefined threshold for a single package. This could be due to invalid data formats, missing mandatory fields, or data that does not meet validation rules.
  Configuration Settings: The maximum number of errors allowed per package is often configurable. If this limit is set too low, even a small number of data issues can trigger this error.
  Data Volume: Large volumes of data being processed in a single package can lead to a higher likelihood of encountering errors.
  
  
  Solution:
  
  Review Data Quality: Check the data