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Hello Krish,
The information you've gathered from your MySQL RDS instance is helpful in diagnosing the storage consumption issue.
Based on the data you've provided, it appears that there is a significant amount of storage that is not accounted for in your actual data and indexes.
Here are some insights and steps you can take to identify and potentially resolve the excessive storage consumption:
-
Check Fragmentation: The
DATA_FREE
value in your Query 2 results indicates that there is approximately 602 MB of free space within your tables. This means there might be fragmentation within your tables, and this fragmented space is not immediately available for reuse. -
Table Optimization: You can consider optimizing your tables to recover this fragmented space. MySQL provides the
OPTIMIZE TABLE
command, which can help rebuild the table to release unused space. However, please be cautious when running this on large tables, as it can lock the table during the operation.OPTIMIZE TABLE your_table_name;
-
Check for Temporary Tables: Temporary tables or temporary data can sometimes accumulate and consume storage space. Ensure that you are not creating and leaving temporary tables behind after your queries.
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Check Binary Logs: If you have binary logging enabled for replication or other purposes, these logs can also consume storage. You can manage and purge binary logs using the
PURGE BINARY LOGS
command.PURGE BINARY LOGS BEFORE 'yyyy-mm-dd hh:mm:ss';
-
Check for Large Transaction Logs: If you have long-running transactions, they can cause the transaction logs to grow. Ensure that your transactions are appropriately committed and not holding onto unnecessary data.
-
Check for Large InnoDB Buffer Pool: InnoDB, the default storage engine for MySQL RDS, caches data in the InnoDB Buffer Pool. If the buffer pool is very large, it might consume storage. You can adjust the
innodb_buffer_pool_size
parameter to an appropriate value based on your workload. -
Review Scheduled Jobs and Automation: If you have scheduled jobs or scripts running within your RDS instance, ensure that they are not inadvertently consuming storage by creating temporary tables or logs that are not cleaned up.
-
Consider Snapshots and Backups: If you're using RDS snapshots or backups, they can also contribute to storage usage. Review your backup retention policies and consider reducing the retention period if needed.
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Monitor and Set Alarms: Continue monitoring your storage usage and set up alarms to receive notifications when it approaches critical levels. This will help you catch and address storage issues proactively.
By following these steps and closely examining your MySQL RDS instance, you should be able to identify and potentially resolve the excessive storage consumption issue. Be cautious when making changes to your database and ensure that you have backups and a rollback plan in case anything unexpected happens during the optimization process.
Please give a thumbs up if my suggestion helps
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@Gabriel Olaleye, Thanks for the update, I will check from my end.