PostgresDB XX001: Data corrupted

Raised when data corruption is detected within the database.
  1. Immediately stop any write operations to the affected tables or database to prevent further corruption.
  2. Run a CHECKDB or its PostgreSQL equivalent, pg_dump, on the database or table reporting the corruption. This helps in identifying the extent and specifics of the corruption:
  3. pg_dump dbname > dbname_backup.sql
  4. If you have backups, prepare to restore the corrupted data from the most recent backup after assessing the extent of the corruption.
  5. To identify possibly corrupted tables, you can execute:
  6. SELECT * FROM pg_catalog.pg_amcheck('your_table_name');
  7. Note: Replace 'your_table_name' with the name of the table you wish to check. pg_amcheck is not a built-in PostgreSQL function and requires you to use the appropriate tool or command for your PostgreSQL version to check table integrity.
  8. Review PostgreSQL logs for any errors or warnings that might indicate why the corruption occurred. The location of these logs varies but can often be found within the PostgreSQL data directory, under a subdirectory named pg_log or directly configured in your postgresql.conf file:
  9. cat /path/to/your/postgresql/log/files
  10. Inspect system and hardware logs to rule out underlying hardware issues, such as disk errors or failures, that could lead to database corruption.
  11. If the corruption is limited and you can identify the corrupted rows or if you have a recent backup that can be used to restore only the corrupted parts:
  12. a. Isolate or remove the corrupted data if identifiable and non-critical.
  13. b. Restore the corrupted parts from a backup if available.
  14. After resolving the immediate corruption issue, consider running a full integrity check on the entire database to ensure no other corruption exists:
  15. VACUUM FULL VERBOSE ANALYZE;
  16. To prevent transaction loss, review and possibly apply transactions from the WAL (Write-Ahead Logging) files if the corruption is in non-critical data and can be worked around temporarily.
  17. Contact PostgreSQL community support forums or professional PostgreSQL support for guidance if the corruption is extensive or the above steps do not resolve the issue.

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