Aurora MySQL database engine updates 2019-11-11 (version 2.05.0) (Deprecated)
Version: 2.05.0
Aurora MySQL 2.05.0 is generally available. Aurora MySQL 2.x versions are compatible with MySQL 5.7 and Aurora MySQL 1.x versions are compatible with MySQL 5.6.
Currently supported Aurora MySQL releases are 1.14.*, 1.15.*, 1.16.*, 1.17.*, 1.18.*, 1.19.*, 2.01.*, 2.02.*, 2.03.* and 2.04.*.
You can restore a snapshot from a currently supported Aurora MySQL release into Aurora MySQL 2.05.0. You also have the option to upgrade existing Aurora MySQL 2.* database clusters, up to 2.04.6, to Aurora MySQL 2.05.0. You cannot upgrade an existing Aurora MySQL 1.* cluster directly to 2.05.0; however, you can restore its snapshot to Aurora MySQL 2.05.0.
To create a cluster with an older version of Aurora MySQL, please specify the engine version through the Amazon Web Services Management Console, the Amazon CLI, or the RDS API.
Note
This version is currently not available in the following Amazon Regions: Amazon GovCloud (US-East) [us-gov-east-1], Amazon GovCloud (US-West) [us-gov-west-1], China (Ningxia) [cn-northwest-1], Asia Pacific (Hong Kong) [ap-east-1], Europe (Stockholm) [eu-north-1], and Middle East (Bahrain) [me-south-1]. There will be a separate announcement once it is made available.
If you have any questions or concerns, Amazon Support is available on the community forums and through
Amazon Support
Note
For information on how to upgrade your Aurora MySQL database cluster, see Upgrading the minor version or patch level of an Aurora MySQL DB cluster in the Amazon Aurora User Guide.
Improvements
Critical fixes:
Fixed an issue where the events in current binlog file on the master were not replicated on the worker if the value of the parameter
sync_binlog
was not set to 1.
High-priority fixes:
-
Customers with database size close to 64 tebibytes (TiB) are strongly advised to upgrade to this version to avoid downtime due to stability bugs affecting volumes close to the Aurora storage limit.
-
The default value of the parameter
aurora_binlog_replication_max_yield_seconds
has been changed to zero to prevent an increase in replication lag in favor of foreground query performance on the binlog master.
Integration of MySQL bug fixes
-
Bug#23054591: PURGE BINARY LOGS TO is reading the whole binlog file and causing MySql to Stall
Comparison with Aurora MySQL version 1
The following Amazon Aurora MySQL features are supported in Aurora MySQL Version 1 (compatible with MySQL 5.6), but these features are currently not supported in Aurora MySQL Version 2 (compatible with MySQL 5.7).
-
Asynchronous key prefetch (AKP). For more information, see Optimizing Aurora indexed join queries with asynchronous key prefetch in the Amazon Aurora User Guide.
-
Hash joins. For more information, see Optimizing large Aurora MySQL join queries with hash joins in the Amazon Aurora User Guide.
-
Native functions for synchronously invoking Amazon Lambda functions. For more information, see Invoking a Lambda function with an Aurora MySQL native function in the Amazon Aurora User Guide.
-
Scan batching. For more information, see Aurora MySQL database engine updates 2017-12-11 (version 1.16) (Deprecated).
-
Migrating data from MySQL using an Amazon S3 bucket. For more information, see Migrating data from MySQL by using an Amazon S3 bucket in the Amazon Aurora User Guide.
MySQL 5.7 compatibility
Aurora MySQL 2.05.0 is wire-compatible with MySQL 5.7 and includes features such as JSON support, spatial indexes, and generated columns. Aurora MySQL uses a native implementation of spatial indexing using z-order curves to deliver >20x better write performance and >10x better read performance than MySQL 5.7 for spatial datasets.
Aurora MySQL 2.05.0 does not currently support the following MySQL 5.7 features:
-
Group replication plugin
-
Increased page size
-
InnoDB buffer pool loading at startup
-
InnoDB full-text parser plugin
-
Multisource replication
-
Online buffer pool resizing
-
Password validation plugin
-
Query rewrite plugins
-
Replication filtering
-
The
CREATE TABLESPACE
SQL statement