/ISDFPS/UTILITIES052 - Number of records read is not equal to number of records output

SAP Error Message - Details

• Message type: E = Error

• Message class: /ISDFPS/UTILITIES -

• Message number: 052

• Message text: Number of records read is not equal to number of records output

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.

AnswerBot

• What is the cause and solution for SAP error message /ISDFPS/UTILITIES052 - Number of records read is not equal to number of records output ?

  The SAP error message /ISDFPS/UTILITIES052 indicates that there is a discrepancy between the number of records read and the number of records output during a data processing operation. This error typically occurs in the context of data extraction, transformation, or loading processes, particularly in the SAP Data Services or SAP BW (Business Warehouse) environments.
  Cause:
  
  Data Quality Issues: There may be issues with the source data, such as missing records, duplicates, or data corruption.
  Transformation Logic: The transformation rules applied to the data may be filtering out records or causing records to be modified in a way that results in fewer output records than input records.
  Mapping Errors: Incorrect mapping between source and target fields can lead to records being dropped or not processed correctly.
  Job Configuration: The job or process configuration may have settings that limit the number of records processed or output.
  Database Constraints: Constraints in the target database (like primary key violations) can prevent records from being inserted, leading to a mismatch in counts.
  
  Solution:
  
  Check Source Data: Review the source data for completeness and integrity. Ensure there are no missing or corrupted records.
  Review Transformation Logic: Examine the transformation rules to ensure they are correctly defined and not unintentionally filtering out records.
  Validate Mapping: Ensure that the mapping between source and target fields is correct and that all necessary fields are included.
  Job Configuration Review: Check the job configuration settings to ensure that there are no limits set on the number of records processed or output.
  Error Logs: Review error logs or messages generated during the job execution to identify specific records or issues causing the discrepancy.
  Testing: Run the job with a smaller dataset to isolate the issue and identify where the mismatch occurs.
  Database Constraints: Check for any constraints in the target database that might be preventing records from being inserted.
  
  Related Information:
  
  SAP Notes: Check SAP Notes for any known issues or patches related to this error message.
  Documentation: Review the documentation for the specific SAP module you are working with (e.g., SAP BW, SAP Data Services) for best practices on data loading and transformation.
  Community Forums: Engage with SAP community forums or support channels for insights from other users who may have encountered similar issues.
  
  By systematically addressing these areas, you should be able to identify the root cause of the error and implement a solution to resolve it.