Home Database Oracle PostgreSQL WAL log bloat processing process

PostgreSQL WAL log bloat processing process

Apr 11, 2025 pm 05:27 PM
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PostgreSQL WAL log bloat issue can be handled through regular cleaning. Specific steps include: checking the WAL log size; restoring or archiving the WAL logs; deleting old WAL logs that are no longer needed; enabling automatic cleaning; reducing the WAL partition (if using logical replication); regularly monitoring the WAL log size; ensuring sufficient disk space is available, periodically backing up the database, and understanding the potential impact of the cleanup operation.

PostgreSQL WAL log bloat processing process

PostgreSQL WAL log bloat processing process

PostgreSQL uses the write-ahead log (WAL) mechanism to ensure data consistency. When WAL log files continue to grow, they take up a lot of storage space. Therefore, it is important to regularly clean WAL logs that are no longer needed.

Here are the steps to deal with PostgreSQL WAL log bloat:

1. Check the WAL log size

Use the following command to view the WAL log size:

 <code>SELECT pg_size_pretty(pg_wal_size(0))</code>
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2. Recover or archive WAL logs

If you have archived WAL logs, you can restore or archive them using the following command:

 <code>pg_waldump -d <database_name> -f <file_name> pg_archivecleanup</file_name></database_name></code>
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3. Delete the old WAL log

After restoring or archiving the WAL logs, you can delete the old WAL logs that you no longer need:

 <code>pg_walremove -a "pg_xlog/"</code>
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4. Enable automatic cleaning

To avoid WAL log bloating, the automatic cleaning function can be enabled:

 <code>wal_keep_segments = 16 min_wal_size = 80MB</code>
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5. Reduce the WAL partition

If you use logical replication, you can shrink the WAL partition:

 <code>SELECT pg_logical_replica_cleanup(pg_current_wal_lsn(), 0, FALSE)</code>
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6. Monitor WAL logs

Regularly monitor WAL log size to ensure it remains within manageable scope.

7. Other precautions

  • Make sure you have enough disk space to store WAL logs.
  • Back up the database regularly to prevent data loss.
  • It is important to know about the potential impact before performing any cleaning operations.

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