Avoiding Data Errors - Parallel Data Pump

Teradata® Parallel Data Pump Reference

Product
Parallel Data Pump
Release Number
17.00
Published
June 2020
Language
English (United States)
Last Update
2020-06-19
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B035-3021
lifecycle
previous
Product Category
Teradata Tools and Utilities

The following data-related conditions can all cause records to be written to the error table:

  • A non-existent target table
  • Inadequate privileges to the target table
  • Mismatched table schema and Teradata TPump DML
  • Attempting to store NULL value in a NOT NULL table column
  • Out-of-range values
  • Data conversion errors, which require input data to be corrected

To help prevent performance issues, it is important to ensure that your data sources generate data records that are valid for the characteristic of the target tables.