Esta página não foi traduzida para seu idioma. Solicitar tradução

Step 3: Create Your Target Aurora MySQL Database

PDF

In this step, you create a new Aurora MySQL database to use as a migration target for DMS Schema Conversion. Also, you configure a new database user on your target Aurora MySQL database.

If you already created the target database, skip this step and proceed with the configuration of your database user.

To create an Aurora MySQL database for DMS Schema Conversion

1. Sign in to the AWS Management Console and open the Amazon RDS console at https://console.aws.amazon.com/rds/.

2. Choose your AWS Region.

3. Choose Create database.

4. For Engine type, choose Amazon Aurora.

5. For Edition, choose Amazon Aurora MySQL-Compatible Edition.

6. For Templates, choose Dev/Test.

7. For DB cluster identifier, enter a unique name for your MySQL database.

8. For Master password and Confirm master password, enter a secure password that includes at least 8 printable characters.

9. For Virtual private cloud (VPC) under Connectivity, choose sc-vpc. You created this VPC in Step 1.

10. For Public access, choose Yes.

11. Keep the rest of the settings as they are, and then choose Create database.

After you create your Aurora MySQL database, configure a new database user. Then, use the credentials of this user in DMS Schema Conversion. We encourage not using the admin user in the DMS Schema Conversion migration project.

To configure your target database user, create a new user and grant the following privileges:

• CREATE ON .

• ALTER ON .

• DROP ON .

• INDEX ON .

• REFERENCES ON .

• SELECT ON .

• CREATE VIEW ON .

• SHOW VIEW ON .

• TRIGGER ON .

• CREATE ROUTINE ON .

• ALTER ROUTINE ON .

• EXECUTE ON .

• CREATE TEMPORARY TABLES ON .

• INVOKE LAMBDA ON .

• INSERT, UPDATE ON AWS_ORACLE_EXT.*

• INSERT, UPDATE, DELETE ON AWS_ORACLE_EXT_DATA.*

• CREATE TEMPORARY TABLES ON AWS_ORACLE_EXT_DATA.*

You can use the following code example to create a database user and grant the privileges.

CREATE USER 'user_name' IDENTIFIED BY 'your_password';
GRANT CREATE ON *.* TO 'user_name';
GRANT ALTER ON *.* TO 'user_name';
GRANT DROP ON *.* TO 'user_name';
GRANT INDEX ON *.* TO 'user_name';
GRANT REFERENCES ON *.* TO 'user_name';
GRANT SELECT ON *.* TO 'user_name';
GRANT CREATE VIEW ON *.* TO 'user_name';
GRANT SHOW VIEW ON *.* TO 'user_name';
GRANT TRIGGER ON *.* TO 'user_name';
GRANT CREATE ROUTINE ON *.* TO 'user_name';
GRANT ALTER ROUTINE ON *.* TO 'user_name';
GRANT EXECUTE ON *.* TO 'user_name';
GRANT INSERT, UPDATE ON AWS_ORACLE_EXT.* TO 'user_name';
GRANT INSERT, UPDATE, DELETE ON AWS_ORACLE_EXT_DATA.* TO 'user_name';
GRANT CREATE TEMPORARY TABLES ON AWS_ORACLE_EXT_DATA.* TO 'user_name';

In the preceding example, replace user_name with the name of your user. Then, replace your_password with a secure password.

In your target Amazon Aurora MySQL database, set the lower_case_table_names parameter to 1. Also, set the log_bin_trust_function_creators parameter to 1, and the character_set_server parameter to latin1.