Because this is a dynamic parameter, the adjustment will take effect immediately. To do this, create a parameter group for your RDS PostgreSQL database and adjust the parameter accordingly. ![]() One adjustment we suggest is changing the wal_sender_timeout parameter to 0. Using Amazon RDS, you can change database parameters using parameter groups. We also need to look at source-related performance factors such as replication activity and the use of write-ahead logging (WAL) that can affect the migration. DMS also allows you to customize the mappings if you want. It’s very important to take into account these mappings when designing your migration strategy. To make this conversion happen, DMS first maps the source data type (JSON in this case) to an intermediate DMS type and then maps that type to the target data type (longtext). DMS functions as an intermediate broker to a variety of different database engines. To understand what happened, we need to consider how DMS operates. Notice how the serial column is now an integer and the subscriber_info column has been converted to longtext. I’m going to use pgAdmin, a popular open source administration tool for PostgreSQL, to create the table and display the specification in the source database.Īfter I run the DMS migration task, here’s how the newly created subscribers table appears in the target database using the program DbVisualizer. Subscriber_id SERIAL NOT NULL PRIMARY KEY, subscriber_info json NOT NULL I’ll begin with a simple table definition. Let’s take the case of a PostgreSQL to MySQL migration. Accordingly, when we look at migrating from an Amazon RDS PostgreSQL source database, we need to take into account both how data is moved and also environmental factors that can affect the ongoing processing of transactions while the migration is happening. The process must also keep up with transactions that take place during the migration, so that the database is left in a consistent state upon completion. You might think that migration means just moving data from one location to another, but the process involves far more. In this post, I am going to talk about two things, first about using an RDS PostgreSQL source database for DMS and then about using the recently announced continuous data replication feature, which can keep the target database up to date after the initial migration. You can also customize table mappings and perform translations. ![]() The service supports homogeneous migrations such as Oracle to Oracle, and also heterogeneous migrations such as Oracle to Amazon Aurora. The AWS Database Migration Service (AWS DMS) enables organizations to migrate data to and from a variety of databases located in Amazon Relational Database Service (Amazon RDS), those running on Amazon EC2, and also those running on-premises. Jeff Levine is a solutions architect for Amazon Web Services.Īs a solutions architect for Amazon Web Services, I help our customers to migrate workloads to the AWS Cloud, a key part of which includes their databases.
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