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AWS Database Migration Service
User Guide (Version API Version 2016-01-01)

AWS Documentation » AWS Database Migration Service » User Guide » Working with AWS DMS Endpoints » Sources for Data Migration » Using a MySQL-Compatible Database as a Source for AWS DMS

Using a MySQL-Compatible Database as a Source for AWS DMS

You can migrate data from any MySQL-compatible database (MySQL, MariaDB, or Amazon Aurora MySQL) using AWS Database Migration Service. MySQL versions 5.5, 5.6, and 5.7, and also MariaDB and Amazon Aurora MySQL, are supported for on-premises. All AWS-managed MySQL databases (Amazon RDS for MySQL, Amazon RDS for MariaDB, Amazon Aurora MySQL) are supported as sources for AWS DMS.

You can use SSL to encrypt connections between your MySQL-compatible endpoint and the replication instance. For more information on using SSL with a MySQL-compatible endpoint, see Using SSL With AWS Database Migration Service.

In the following sections, the term "self-managed" applies to any database that is installed either on-premises or on Amazon EC2. The term "Amazon-managed" applies to any database on Amazon RDS, Amazon Aurora, or Amazon S3.

For additional details on working with MySQL-compatible databases and AWS DMS, see the following sections.

Migrating from MySQL to MySQL Using AWS DMS

For a heterogeneous migration, where you are migrating from a database engine other than MySQL to a MySQL database, AWS DMS is almost always the best migration tool to use. But for a homogeneous migration, where you are migrating from a MySQL database to a MySQL database, native tools can be more effective.

We recommend that you use native MySQL database migration tools such as mysqldump under the following conditions:

  • You have a homogeneous migration, where you are migrating from a source MySQL database to a target MySQL database.

  • You are migrating an entire database.

  • The native tools allow you to migrate your data with minimal downtime.

You can import data from an existing MySQL or MariaDB database to an Amazon RDS MySQL or MariaDB DB instance. You do so by copying the database with mysqldump and piping it directly into the Amazon RDS MySQL or MariaDB DB instance. The mysqldump command-line utility is commonly used to make backups and transfer data from one MySQL or MariaDB server to another. It is included with MySQL and MariaDB client software.

For more information about importing a MySQL database into Amazon RDS for MySQL or Amazon Aurora (MySQL), see Importing Data into a MySQL DB Instance and Importing Data from a MySQL or MariaDB DB to an Amazon RDS MySQL or MariaDB DB Instance.

Using AWS DMS to Migrate Data from MySQL to MySQL

AWS DMS can migrate data from, for example, a source MySQL database that is on premises to a target Amazon RDS for MySQL or Amazon Aurora (MySQL) instance. Core or basic MySQL data types most often migrate successfully.

Data types that are supported on the source database but aren't supported on the target may not migrate successfully. AWS DMS streams some data types as strings if the data type is unknown. Some data types, such as XML and JSON, can successfully migrate as small files but can fail if the are large documents.

The following table shows source MySQL data types and whether they can be migrated successfully:

Data type Migrates successfully Will partially migrate Will not migrate Comments
INT X
BIGINT X
MEDIUMINT X
TINYINT X
DECIMAL(p,s) X
BINARY X
BIT(M) X
BLOB X
LONGBLOB X
MEDIUMBLOB X
TINYBLOB X
DATE X
DATETIME X
TIME X
TIMESTAMP X
YEAR X
DOUBLE X
FLOAT X
VARCHAR(N) X
VARBINARY(N) X
CHAR(N) X
TEXT X
LONGTEXT X
MEDIUMTEXT X
TINYTEXT X
GEOMETRY X
POINT X
LINESTRING X
POLYGON X
MULTILINESTRING X
MULTIPOLYGON X
GEOMETRYCOLLECTION X
ENUM X
SET X

Using Any MySQL-Compatible Database as a Source for AWS DMS

Before you begin to work with a MySQL database as a source for AWS DMS, make sure that you have the following prerequisites. These prerequisites apply to either self-managed or Amazon-managed sources.

You must have an account for AWS DMS that has the Replication Admin role. The role needs the following privileges:

  • REPLICATION CLIENT – This privilege is required for change data capture (CDC) tasks only. In other words, full-load-only tasks don't require this privilege.

  • REPLICATION SLAVE – This privilege is required for change data capture (CDC) tasks only. In other words, full-load-only tasks don't require this privilege.

  • SUPER – This privilege is required only in MySQL versions before 5.6.6.

The AWS DMS user must also have SELECT privileges for the source tables designated for replication.

Using a Self-Managed MySQL-Compatible Database as a Source for AWS DMS

You can use the following self-managed MySQL-compatible databases as sources for AWS DMS:

  • MySQL Community Edition

  • MySQL Standard Edition

  • MySQL Enterprise Edition

  • MySQL Cluster Carrier Grade Edition

  • MariaDB Community Edition

  • MariaDB Enterprise Edition

  • MariaDB Column Store

You must enable binary logging if you plan to use change data capture (CDC). To enable binary logging, the following parameters must be configured in MySQL’s my.ini (Windows) or my.cnf (UNIX) file.

Parameter

Value

server_id

Set this parameter to a value of 1 or greater.

log-bin

Set the path to the binary log file, such as log-bin=E:\MySql_Logs\BinLog. Don't include the file extension.

binlog_format

Set this parameter to ROW.

expire_logs_days

Set this parameter to a value of 1 or greater. To prevent overuse of disk space, we recommend that you don't use the default value of 0.

binlog_checksum

Set this parameter to NONE.

binlog_row_image

Set this parameter to FULL.

log_slave_updates

Set this parameter to TRUE if you are using a MySQL or MariaDB read-replica as a source.

If your source uses the NDB (clustered) database engine, the following parameters must be configured to enable CDC on tables that use that storage engine. Add these changes in MySQL’s my.ini (Windows) or my.cnf (UNIX) file.

Parameter

Value

ndb_log_bin

Set this parameter to ON. This value ensures that changes in clustered tables are logged to the binary log.

ndb_log_update_as_write

Set this parameter to OFF. This value prevents writing UPDATE statements as INSERT statements in the binary log.

ndb_log_updated_only

Set this parameter to OFF. This value ensures that the binary log contains the entire row and not just the changed columns.

Using an Amazon-Managed MySQL-Compatible Database as a Source for AWS DMS

You can use the following Amazon-managed MySQL-compatible databases as sources for AWS DMS:

  • MySQL Community Edition

  • MariaDB Community Edition

  • Amazon Aurora with MySQL compatibility

When using an Amazon-managed MySQL-compatible database as a source for AWS DMS, make sure that you have the following prerequisites:

  • Enable automatic backups. For more information on setting up automatic backups, see Working with Automated Backups in the Amazon RDS User Guide.

  • Enable binary logging if you plan to use change data capture (CDC). For more information on setting up binary logging for an Amazon RDS MySQL database, see Working with Automated Backups in the Amazon RDS User Guide.

  • Ensure that the binary logs are available to AWS DMS. Because Amazon-managed MySQL-compatible databases purge the binary logs as soon as possible, you should increase the length of time that the logs remain available. For example, to increase log retention to 24 hours, run the following command. 

    
 call mysql.rds_set_configuration('binlog retention hours', 24);

  • Set the binlog_format parameter to "ROW".

  • Set the binlog_checksum parameter to "NONE". For more information about setting parameters in Amazon RDS MySQL, see Working with Automated Backups in the Amazon RDS User Guide.

  • If you are using an Amazon RDS MySQL or Amazon RDS MariaDB read replica as a source, enable backups on the read replica.

Limitations on Using a MySQL Database as a Source for AWS DMS

When using a MySQL database as a source, AWS DMS doesn't support the following:

  • Change data capture (CDC) isn't supported for Amazon RDS MySQL 5.5 or lower. For Amazon RDS MySQL, you must use version 5.6 or higher to enable CDC.

  • The data definition language (DDL) statements DROP TABLE and RENAME TABLE aren't supported. Additionally, all DDL statements for partitioned tables aren't supported.

  • For partitioned tables on the source, when you set Target table preparation mode to Drop tables on target, AWS DMS creates a simple table without any partitions on the MySQL target. To migrate partitioned tables to a partitioned table on the target, pre-create the partitioned tables on the target MySQL database.

  • Using an ALTER TABLE<table_name> ADD COLUMN <column_name> statement to add columns to the beginning (FIRST) or the middle of a table (AFTER) is not supported. Columns are always added to the end of the table.

  • CDC isn't supported when a table name contains uppercase and lowercase characters, and the source engine is hosted on an operating system with case-insensitive file names. An example is Windows or OS X using HFS+.

  • The AR_H_USER header column isn't supported.

  • The AUTO_INCREMENT attribute on a column isn't migrated to a target database column.

  • Capturing changes when the binary logs aren't stored on standard block storage isn't supported. For example, CDC doesn't work when the binary logs are stored on Amazon S3.

  • AWS DMS creates target tables with the InnoDB storage engine by default. If you need to use a storage engine other than InnoDB, you must manually create the table and migrate to it using “do nothing” mode.

  • You can't use Aurora MySQL read replicas as a source for AWS DMS.

  • If the MySQL-compatible source is stopped during full load, the AWS DMS task doesn't stop with an error. The task ends successfully, but the target might be out of sync with the source. If this happens, either restart the task or reload the affected tables.

  • Indexes created on a portion of a column value aren't migrated. For example, the index CREATE INDEX first_ten_chars ON customer (name(10)) isn't created on the target.

  • In some cases, the task is configured to not replicate LOBs ("SupportLobs" is false in task settings or “Don't include LOB columns” is checked in the task console). In these cases, AWS DMS doesn't migrate any MEDIUMBLOB, LONGBLOB, MEDIUMTEXT, and LONGTEXT columns to the target.

    BLOB, TINYBLOB, TEXT, and TINYTEXT columns aren't affected and are migrated to the target.

Extra Connection Attributes When Using MySQL as a Source for AWS DMS

You can use extra connection attributes to configure a MySQL source. You specify these settings when you create the source endpoint. If you have multiple connection attribute settings, separate them from each other by semicolons with no additional white space.

The following table shows the extra connection attributes available when using Amazon RDS MySQL as a source for AWS DMS.

Name Description
eventsPollInterval

Specifies how often to check the binary log for new changes/events when the database is idle.

Default value: 5

Valid values: 1–60

Example: eventsPollInterval=5;

In the example, AWS DMS checks for changes in the binary logs every five seconds.

initstmt=SET time_zone

Specifies the time zone for the source MySQL database. Timestamps are translated to the specified timezone.

Default value: UTC

Valid values: Any three-character abbreviation for the time zone you want to use, such as UTC, EST, or GMT. Valid values are the standard time zone abbreviations for the operating system hosting the source MySQL database.

Example: initstmt=SET time_zone=UTC;
afterConnectScript

Specifies a script to run immediately after AWS DMS connects to the endpoint. The migration task continues running regardless if the SQL statement succeeds or fails.

Valid values: One or more valid SQL statements, set off by a semicolon.

Example: afterConnectScript=ALTER SESSION SET CURRENT_SCHEMA = system;

CleanSrcMetadataOnMismatch

Cleans and recreates table metadata information on the replication instance when a mismatch occurs. For example, in a situation where running an alter DDL on the table could result in different information about the table cached in the replication instance. Boolean.

Default value: false

Example: CleanSrcMetadataOnMismatch=false;

Source Data Types for MySQL

The following table shows the MySQL database source data types that are supported when using AWS DMS and the default mapping from AWS DMS data types.

For information on how to view the data type that is mapped in the target, see the section for the target endpoint you are using.

For additional information about AWS DMS data types, see Data Types for AWS Database Migration Service.

MySQL Data Types

AWS DMS Data Types

INT

INT4

MEDIUMINT

INT4

BIGINT

INT8

TINYINT

INT1

DECIMAL(10)

NUMERIC (10,0)

BINARY

BYTES(1)

BIT

BOOLEAN

BIT(64)

BYTES(8)

BLOB

BYTES(66535)

LONGBLOB

BLOB

MEDIUMBLOB

BLOB

TINYBLOB

BYTES(255)

DATE

DATE

DATETIME

DATETIME

TIME

STRING

TIMESTAMP

DATETIME

YEAR

INT2

DOUBLE

REAL8

FLOAT

REAL(DOUBLE)

The supported FLOAT range is -1.79E+308 to -2.23E-308, 0 and 2.23E-308 to 1.79E+308

If FLOAT values aren't in this range, map the FLOAT data type to the STRING data type.

VARCHAR (45)

WSTRING (45)

VARCHAR (2000)

WSTRING (2000)

VARCHAR (4000)

WSTRING (4000)

VARBINARY (4000)

BYTES (4000)

VARBINARY (2000)

BYTES (2000)

CHAR

WSTRING

TEXT

WSTRING (65535)

LONGTEXT

NCLOB

MEDIUMTEXT

NCLOB

TINYTEXT

WSTRING (255)

GEOMETRY

BLOB

POINT

BLOB

LINESTRING

BLOB

POLYGON

BLOB

MULTIPOINT

BLOB

MULTILINESTRING

BLOB

MULTIPOLYGON

BLOB

GEOMETRYCOLLECTION

BLOB

Note

If the DATETIME and TIMESTAMP data types are specified with a "zero" value (that is, 0000-00-00), make sure that the target database in the replication task supports "zero" values for the DATETIME and TIMESTAMP data types. Otherwise, these values are recorded as null on the target.

The following MySQL data types are supported in full load only.

MySQL Data Types

AWS DMS Data Types

ENUM

STRING

SET

STRING