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Message type: E = Error
Message class: UCLP - Messages for List Processor
Message number: 061
Message text: Overflow in operation COLLECT in data record summarization
During operation "COLLECT" an overflow occurs in a numeric field of
data structure &V1&.
It is possible that a characteristic field of structure &V1& has a
numeric data type. The list processor allows numeric data types only
for key figures.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
In the table structure, check if all characteristics have a <ZH>non
</>-numeric data type.
If the summation has an error, insert an additional characteristic with
data type "C" (character) and make sure it contains a text copy of the
value of the original characteristic. Then replace the original
characteristic in the control table with the new characteristic.
Error message extract from SAP system. Copyright SAP SE.
UCLP061
- Overflow in operation COLLECT in data record summarization ?The SAP error message UCLP061, which indicates an "Overflow in operation COLLECT in data record summarization," typically occurs during the summarization of data records in SAP systems. This error is related to the COLLECT statement in ABAP, which is used to aggregate data into internal tables. When the data being processed exceeds the limits of the data type or the internal table structure, an overflow error can occur.
Causes:
- Data Type Limitations: The data being summarized may exceed the maximum value that can be stored in the defined data type (e.g., integer, decimal).
- Internal Table Size: The internal table used for summarization may not be able to accommodate the number of records or the size of the data being processed.
- Incorrect Data Handling: There may be issues with how data is being collected or aggregated, such as incorrect initialization or handling of the data records.
Solutions:
- Check Data Types: Review the data types used in your ABAP program. Ensure that they are appropriate for the values being processed. If necessary, switch to larger data types (e.g., from
I
toP
for larger numbers).- Increase Internal Table Size: If the internal table is reaching its limits, consider increasing its size or using a different structure that can handle larger datasets.
- Review Logic: Examine the logic of the COLLECT operation. Ensure that the data being collected is correctly initialized and that there are no logical errors in how records are being aggregated.
- Error Handling: Implement error handling to catch and manage overflow situations gracefully, allowing the program to continue or log the error for further analysis.
- Data Validation: Before performing the COLLECT operation, validate the data to ensure it is within acceptable limits to prevent overflow.
Related Information:
If the issue persists after trying the above solutions, it may be beneficial to consult with an SAP technical expert or developer who can analyze the specific code and data context in which the error occurs.
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