The 1-2-3 for PostgreSQL Logical Replication Using an RDS Snapshot

July 26, 2021
Author
David Gonzalez
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We have several PostgreSQL versions that support logical decoding to replicate data changes from a source database to a target database, which is a cool and very powerful tool that gives the option to replicate all the tables in a database, only one schema, a specific set of tables or even only some columns/rows, also is a helpful method for version upgrades since the target database can run on a different (minor or major) PostgreSQL version.

PostgreSQL Logical Replication
Image from: https://www.percona.com/wp-content/uploads/2026/03/image2-11.png

There are some cases when the databases have been hosted in the AWS Relational Database Service (RDS) which is the fully auto-managed solution offered by Amazon Web Services, there is no secret that choosing this option for our database backend comes with a level of vendor lock-in, and even when RDS offers some build-in replica solutions such as Multi-AZ or read-replicas sometimes we can take advantage of the benefits from logical replication.

In this post I will describe the simplest and basic steps I used to implement this replica solution avoiding the initial copy data from the source database to the target, creating the target instance from an RDS snapshot. Certainly, you can take advantage of this when you work with a big/huge data set and the initial copy could lead to high timeframes or network saturation.   

NOTE: The next steps were tested and used for a specific scenario and they are not intended to be an any-size solution, rather give some insight into how this can be made and most importantly, to stimulate your own creative thinking.  

The Scenario

Service Considerations

In this exercise, I wanted to perform a version upgrade from PostgreSQL v11.9 to PostgreSQL v12.5, we can perform a direct upgrade using the build-in option RDS offers, but that requires a downtime window that can vary depending on some of the next:

  • Is Multi-AZ enabled?
  • Are the auto backups enabled?
  • How transactional is the source database?

During the direct upgrade process, RDS takes a couple of new snapshots of the source instance, firstly at the beginning of the upgrade and finally when all the modifications are done, depending on how old is the previous backup and how many changes have been made on the datafiles the pre backup could take some time. Also, if the instance is Multi-AZ the process should upgrade both instances, which adds more time for the upgrade, during most of these actions the database remains inaccessible.

The next is a basic diagram of how an RDS Multi-AZ instance looks, all the client requests are sent to the master instance, while the replica is not accessible and some tasks like the backups are executed on it.

PostgreSQL Logical Replication on RDS

Therefore, I choose logical replication as the mechanism to achieve the objective, we can aim for a quicker switch-over if we create the new instance in the desired version and just replicate all the data changes, then we need a small downtime window just to move the traffic from the original instance to the upgraded new one.

Prerequisites

To be able to perform these actions we would need:

  • An AWS user/access that can operate the DB instances, take DB snapshots and upgrade and restore them.
  • The AWS user also should be able to describe and create DB PARAMETER GROUPS.
  • A DB user with enough privileges to create the PUBLICATION on source and SUBSCRIPTION on target also is advisable to create a dedicated replication user with the minimum permissions. 

The 1-2-3 Steps

Per the title of this post, the next is the list of steps to set up a PostgreSQL logical replication between a PostgreSQL v11.9 and a v12.5 using an RDS snapshot to initialize the target database. 

  1. Verify the PostgreSQL parameters for logical replication
  2. Create the replication user and grant all the required privileges
  3. Create the PUBLICATION
  4. Create a REPLICATION SLOT
  5. Create a new RDS snapshot 
  6. Upgrade the RDS snapshot to the target version
  7. Restore the upgraded RDS snapshot
  8. Get the LSN position 
  9. Create the SUBSCRIPTION
  10. Advance the SUBSCRIPTION 
  11. Enable the SUBSCRIPTION

Source Database Side

1. Verify the PostgreSQL parameters for logical replication

We require the next PostgreSQL parameters for this exercise

NOTE: The parameter track_commit_timestamp can be optional since in some environments is not advisable for the related overhead, but it would help to track and resolve any conflict that may occur when the subscriptions are started.

2. Create the replication user and grant all the required privileges

3. Create the PUBLICATION

4. Create a REPLICATION SLOT

AWS RDS Steps

5. Create a new RDS snapshot 

6. Upgrade the RDS snapshot to the target version

7. Restore the upgraded RDS snapshot 

Since we are moving from version 11.9 to 12.5 we may need to create a new DB parameter group if we are using some custom parameters. 
From the instance describe we can verify the current parameter group

Then we can validate the custom parameters 

We need to create a new parameter group in the target version

Finally, we need to modify the parameters we got before in the new parameter group

Now we can use the new parameter group to restore the upgraded snapshot

8. Get the LSN position from the target instance log

To list all the database logs for the new DB instance

We should pick the latest database log

From the retrieved log portion we need to find the value after for the log entry redo done at:

Target Database Side

9. Create SUBSCRIPTION

10. Advance the SUBSCRIPTION 

We need to get the subscription id

Now advance the subscription to the LSN we got in step 8

11. Enable the SUBSCRIPTION

Once we are done with all the steps the data changes should flow from the source database to the target, we can check the status at the pg_stat_replication view. 

Conclusion

Choosing DBaaS from cloud vendors bring some advantages and can speed up some implementations, but they come with some costs, and not all the available tools or solutions fits all the requirements, that is why always is advisable to try some different approaches and think out of the box, technology can go so far as our imagination. 

Percona Distribution for PostgreSQL provides the best and most critical enterprise components from the open-source community, in a single distribution, designed and tested to work together.

Download Percona Distribution for PostgreSQL Today!

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