To reduce the overall storage consumption of MySQL binary logs, rather than just breaking them into smaller chunks, you can implement several strategies:
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Expire Old Logs: Use the
expire_logs_days
parameter to automatically delete binary logs older than a specified number of days. This is the most effective way to reduce storage usage by removing logs that are no longer needed.[mysqld] expire_logs_days = 7
This configuration will ensure that binary logs older than 7 days are automatically purged, freeing up disk space.
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Manual Purging: If you need to immediately free up space, you can manually purge binary logs that are no longer needed using the
PURGE BINARY LOGS
command.PURGE BINARY LOGS BEFORE '2024-01-01 00:00:00';
This command will delete all binary logs created before the specified date.
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Disable Binary Logging: If binary logging is not required for your setup (e.g., you are not using replication or point-in-time recovery), you can disable it to prevent logs from being generated.
[mysqld] skip-log-bin
Note: Disabling binary logging will prevent you from using certain features like replication and point-in-time recovery.
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Optimize Log Usage: If you need binary logs but want to minimize their size, consider optimizing the operations that generate them. For example, batch updates or inserts can reduce the number of log entries compared to individual operations.
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Monitor and Adjust: Regularly monitor the size of your binary logs and adjust the
expire_logs_days
setting as needed based on your storage capacity and requirements.
By implementing these strategies, you can effectively manage and reduce the storage consumption of MySQL binary logs. Would you like more detailed guidance on any specific part of this process?
Sources:
- https://datahubspace.slack.com/archives/CUMUWQU66/p1719247004.369549|https://datahubspace.slack.com/archives/CUMUWQU66/p1719247004.369549
- https://datahubspace.slack.com/archives/CV2KB471C/p1719416937.754189|https://datahubspace.slack.com/archives/CV2KB471C/p1719416937.754189
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