How To Fix OE555 - ARRAY op error: DB table=&, op=&, rc=&, lines=&

OE555 - Overview

• Message type: E = Error

• Message class: OE - IS-Oil: ITA/TPI messages

• Message number: 555

• Message text: ARRAY op error: DB table=&, op=&, rc=&, lines=&

What causes this issue?

While data was being saved in the SAP system database, a DB error was
detected on table &V1& for 'array' operation type &V2&.
Operation key:
'H' = Insert
'V' = Change
'L' = Delete
Return code &V3& was issued. The number of array lines processed at
the point of error was &V4&.

System Response

After detection of the error, the following occurred:
Changes already made to the database during the current saving process
were cancelled
The change to the database which caused the error was cancelled
Any changes still to be carried out during the current saving process
were cancelled.

How to fix this error?

Contact your system administrator.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message OE555 - ARRAY op error: DB table=&, op=&, rc=&, lines=& ?

  The SAP error message OE555 typically indicates an issue related to an array operation in the database, often involving a database table operation that has failed. The message format includes placeholders for specific details:
  
  DB table=&: The name of the database table involved in the operation.
  op=&: The operation being performed (e.g., insert, update, delete).
  rc=&: The return code from the operation, which can provide insight into the nature of the error.
  lines=&: The number of lines or records involved in the operation.
  
  Causes
  
  Database Locking Issues: The table may be locked by another transaction, preventing the current operation from completing.
  Data Integrity Violations: The operation may violate constraints such as primary keys, foreign keys, or unique constraints.
  Memory Issues: Insufficient memory or resources allocated for the operation can lead to array operation errors.
  Incorrect Data Types: Mismatched data types between the application and the database can cause failures during operations.
  Corrupted Data: There may be corrupted entries in the