The user executing the Data Pump job may lack the necessary privileges. For example, the exporting user might not be able to read a dependent object referenced in a view's DDL, or a database link used in the job might be invalid. Object access is another common culprit; for instance, a job might fail when a target object has been dropped or a dependent object is in an invalid state.
The Oracle error is a generic "catch-all" internal error during a Data Pump import ( impdp ). It typically indicates that a worker process encountered an unhandled exception while preparing data for insertion. Primary Causes
: Upgrade to Oracle Database 20c or higher . This error has been addressed in the underlying codebase of newer versions, making the patch unnecessary.
The KUPW$WORKER process is the core engine of Oracle Data Pump, responsible for orchestrating the export and import of database objects. When the worker dies from an unhandled exception, Oracle raises this error. While the main job may continue, any objects being processed by the failed worker will be incomplete or skipped altogether. Pinpointing the root cause is critical, as the error itself is a generic symptom of a variety of underlying problems.
: In a Multitenant environment, ensure all PDBs are open and run this from the CDB. 2. Refresh Dictionary Statistics The user executing the Data Pump job may
impdp system/manager \ DIRECTORY=data_pump_dir \ DUMPFILE=export.dmp \ LOGFILE=debug_imp.log \ TRACE=480300,480301,480302 \ EXCLUDE=STATISTICS \ TABLE_EXISTS_ACTION=REPLACE
He dove into the trace files. The error wasn't coming from his data; it was coming from the metadata. The KUPW$WORKER package—the brain of the operation—had gone looking for instructions on how to handle a specific table and found a void instead.
The internal Data Pump packages ( DBMS_DATAPUMP , KUPW$WORKER ) might be invalid, or a recent PSU/RU (Patch Set Update/Release Update) update was improperly applied, leaving the Data Pump dictionary in an inconsistent state.
The key component is KUPW$WORKER , which is the PL/SQL package responsible for managing worker processes in Data Pump. The tag is a specific code indicating where in the PREPARE_DATA_IMP procedure the failure occurred, often associated with unexpected data types, large LOB segments, or mismatched metadata during object creation. 2. Common Causes The Oracle error is a generic "catch-all" internal
Caution : This will truncate (empty) existing tables before re-importing.
Note: You will need to run dbms_stats.gather_schema_stats after the import completes. Solution C: Upgrade/Patch Data Pump
: Data Pump workers are resource-intensive. Set appropriate resource limits.
: Patch 29450761 (or the latest PSU/Release Update containing it). This error has been addressed in the underlying
exec dbms_stats.gather_dictionary_stats; exec dbms_stats.gather_fixed_objects_stats; Use code with caution. Copied to clipboard 3. Targeted Exclusion
: Stale dictionary or fixed object statistics can confuse the Data Pump worker process during the "prepare" phase.
This error, , occurs during an Oracle Data Pump import (using impdp ). It is a generic "catch-all" fatal error indicating that a worker process died unexpectedly while preparing to load data into a table.
: Inconsistent metadata in the database dictionary often causes the internal KUPW$WORKER package to fail.
If Data Pump consistently fails, try the original imp utility (if export was done with original exp ).
The error message provides limited information about the root cause of the issue. However, it does indicate that the problem occurred in the kupw-worker.prepare-data-imp step, which suggests that the issue is related to the data being imported.