Help Center > > FAQs> Database Storage> What Storage Engines Does the RDS for MySQL Support?

What Storage Engines Does the RDS for MySQL Support?

Updated at: Jun 09, 2021 GMT+08:00

The database storage engine is a core service for storing, processing, and protecting data. It can be used to control access permissions and rapidly process transactions to meet enterprise requirements.

For MySQL databases, only InnoDB supports backup and restoration functions and is therefore recommended.

For versions later than MySQL 5.6.40 and 5.7.22, some storage engines are no longer supported.

RDS for MySQL does not currently support MyISAM because:

  • MyISAM engine tables do not support transactions and support only table-level locks. As a result, read and write operations conflict with each other.
  • MyISAM has a defect in protecting data integrity, which may cause database data damage or even data loss.
  • If data is damaged, MyISAM does not support data restoration provided by RDS for MySQL and requires manual restoration.
  • Data can be transparently migrated from MyISAM to InnoDB, which does not require code modification for tables.

RDS for MySQL does not currently support FEDERATED, because:

  • If the primary/standby DB instances support FEDERATED, the same DML operations are repeatedly executed on remote databases, resulting in data disorder.
  • During the PITR restoration, data on remote databases is not restored to the status when the full backup is performed after the full restoration is complete. Applying data during the incremental restoration will disorder FEDERATED table data.

RDS for MySQL does not currently support MEMORY for the following reasons:

  • If a memory table becomes empty after a restart, the database generates a DELETE event to the binlog when the table is opened. If primary/standby DB instances use memory tables and the standby database (or read-only database) is restarted, a GTID is generated, which is inconsistent with that of the primary database. As a result, the standby database is rebuilt.
  • Using memory tables may cause out-of-memory (OOM) errors and even service terminations.

Did you find this page helpful?

Submit successfully!

Thank you for your feedback. Your feedback helps make our documentation better.

Failed to submit the feedback. Please try again later.

Which of the following issues have you encountered?







Please complete at least one feedback item.

Content most length 200 character

Content is empty.

OK Cancel