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Home Database Mysql Tutorial MySQL Database Migration to AWS RDS Aurora

MySQL Database Migration to AWS RDS Aurora

Jul 25, 2025 am 02:00 AM

There are five key points to note when migrating a MySQL database to AWS RDS Aurora. 1. Evaluate the current database environment, including version compatibility, data size, and dependencies; 2. Select the appropriate migration method, such as mysqldump, physical backup recovery, or AWS DMS; 3. Configure the VPC, security group, parameter group, and option group of Aurora instance; 4. Perform data consistency checks, performance tests, and connection tests after migration; 5. Tune according to performance performance, such as adding read replicas or using cache tiers. The entire process is recommended to practice in the test environment to ensure smooth migration.

MySQL Database Migration to AWS RDS Aurora

Migrating MySQL databases to AWS RDS Aurora is the choice for many businesses or developers when scaling and optimizing database architectures. Aurora provides high performance, high availability and MySQL compatibility to make the migration process relatively smooth. But there are still some key points to pay attention to in actual operation.

MySQL Database Migration to AWS RDS Aurora

1. Evaluate the current database environment

Before starting the migration, you must first understand your current database structure and usage:

  • Version Compatibility : Confirm whether your current MySQL version is compatible with the target Aurora. Aurora supports multiple MySQL-compatible versions, such as 5.6, 5.7, and 8.0.
  • Data volume size : If the data volume is more than a few hundred GB, you may want to consider using AWS DMS (Database Migration Service) instead of simple mysqldump.
  • Dependency objects : Check whether stored procedures, triggers, events, views, etc. are supported in Aurora, and some syntaxes may need to be adjusted.

2. Choose the right migration method

Depending on your data volume and business needs, you can choose the following common methods:

MySQL Database Migration to AWS RDS Aurora
  • mysqldump import
    Suitable for small and medium-sized databases (within tens of GB). Use mysqldump to export SQL files, and then import them into Aurora instance through the mysql command. Pay attention to setting the appropriate character set and parameters, such as --default-character-set=utf8mb4 .

  • Physical backup recovery (such as Percona XtraBackup)
    Suitable for large databases that require minimum downtime. First do a full backup locally, then restore to Aurora's EC2 instance, and then complete incremental synchronization through logical copy or DMS.

    MySQL Database Migration to AWS RDS Aurora
  • AWS DMS (Database Migration Service)
    Suitable for non-stop migration scenarios and supports continuous replication. You can first do a full migration, and then continue to synchronize the change of data (CDC). Pay attention to the permissions and network settings of the source database.


3. Configure Aurora instances and networks

There are several key points that cannot be ignored when creating an Aurora instance:

  • VPC and subnet groups : Make sure that the Aurora instance is deployed in the appropriate VPC and configure the subnet groups. If your application is also on AWS, it is best to deploy it in the same VPC to reduce latency.
  • Security Group Settings : Open the 3306 port of Aurora instance to your application server or springboard IP.
  • Parameter group and option group : Adjust parameter group according to your database configuration, such as the maximum number of connections, character sets, etc. Aurora default parameters may not exactly meet your needs.

4. Verification and optimization after migration

After the migration is completed, don’t rush to cut traffic, and do a full verification first:

  • Data consistency check : Compare whether the table structure, index and number of records of the source library and the target library are consistent.
  • Performance Test : Run some common SQL queries to observe response time and resource usage.
  • Connection testing : Make sure your application can connect to Aurora instances normally, especially connection pool configuration, SSL settings, etc.

If you find a performance degradation, you can consider:

  • Adjust the number of read replicas for Aurora
  • Use a cache layer (such as Redis)
  • Optimize slow queries

Basically that's it. Although the entire process is not complicated, the details are easy to ignore, such as permission configuration, character set issues, connection timeout settings, etc. It is recommended to practice it in the test environment before going online for official migration.

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