How To Fix RSSDK002 - & &

RSSDK002 - Overview

• Message type: E = Error

• Message class: RSSDK -

• Message number: 002

• Message text: & &

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.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSSDK002 - & & ?

  The SAP error message RSSDK002 typically indicates an issue related to the SAP Data Services or SAP BusinessObjects Data Services environment. The error message itself may not provide detailed information, but it generally points to a problem with the data extraction, transformation, or loading (ETL) process.
  
  Cause:
  
  Data Source Issues: The error may arise from problems with the data source, such as connectivity issues, incorrect credentials, or the data source being unavailable.
  Configuration Errors: Incorrect configuration settings in the Data Services job or project can lead to this error.
  Data Quality Issues: If the data being processed has quality issues (e.g., null values, data type mismatches), it can trigger this error.
  Resource Limitations: Insufficient system resources (memory, CPU) can also cause this error during processing.
  
  
  Solution:
  
  Check Data Source Connectivity: Ensure that the data source is accessible and that the connection parameters (host, port, username, password) are correct.
  Review Job Configuration: Go through the job configuration in Data