Heroku Postgres Follower Databases
Last updated November 15, 2021
Table of Contents
You can also use
heroku pg:psql with followers to safely run ad-hoc queries against your production data.
Database replication serves many purposes including increasing read throughput with a leader-follower configuration, additional availability with a hot standby, serving as a reporting database, and seamless migrations and upgrades. Though these strategies all serve different purposes they are all based on the ability to create and manage copies of a lead database. On Heroku Postgres, this functionality is exposed as the follow feature.
Followers are only supported on Standard, Premium, and Private and Shield tier database plans. Follow these steps to upgrade from a Hobby tier (dev or basic) plan to a production plan.
Followers, like all Heroku Postgres databases, are charged on a pro-rated basis based on the plan of the follower.
A database follower is a read-only copy of the leader database that stays up-to-date with the leader database data. As writes and other data modifications are committed in the leader database, the changes are streamed, in real-time, to the follower databases.
Create a follower
A follower can be created for any Standard, Premium, or Enterprise tier database that is itself not a follower (that is, followers cannot be chained). Followers cannot be created for a period on newly forked databases (this applies to both explicit forks and forks created through unfollow). The exact timeframe varies depending on the size of the database to be followed and is typically between a few minutes and a few hours.
The follower must accommodate the current data volume of the leader database. If you attempt to create a follower that can’t accommodate the data volume, no follower is created and an error message indicates the minimum plan needed.
The number of followers on a single leader is limited. The exact limit depends on your plan, the number of data connectors, and the number of existing followers. You see an error message if you try to create a follower that exceeds the calculated limit. In general, it’s not recommended to create more than 10 followers on the same leader.
When a database is ready to support followers, that information shows in
$ heroku pg:info === DATABASE_URL, HEROKU_POSTGRESQL_PURPLE_URL ... Fork/Follow: Available ...
The lag between a leader and follower databases varies greatly depending on the amount and frequency of data updates. It is possible for long-running queries on the follower to increase your lag time, though once those queries are done your follower should catch up. Under normal usage, it is common for your follower to be within a few seconds or less of your leader.
To create a follower database you must first know the add-on name of the leader database. Use
heroku pg:info to find its
$ heroku pg:info === DATABASE_URL, HEROKU_POSTGRESQL_CHARCOAL_URL Plan: Standard 0 Status: available ...
If more than one database is listed, the one currently serving as the leader will most often be the one assigned to the
DATABASE_URL (listed after the database name).
Create a follower database by provisioning a new heroku-postgresql Standard, Production or Enterprise tier add-on database and specify the leader database to follow with the
--follow flag. The flag can take either the config var name of the database on the same app, an argument of the form
appname::HEROKU_POSTGRES_COLOR_URL, or the full URL of any Heroku Postgres database.
Followers do not have to be the same database plan as their leader. Followers can be up to 4 plans below their leader’s plan, unless the follower’s plan has burstable characteristics (Postgres Plan Characteristics), in which case the follower can only be up to 1 plan below their leader’s plan. It is recommended that unless you’re downgrading plans, a follower be created using the same or higher plan than the leader database.
$ heroku addons:create heroku-postgresql:standard-2 --follow HEROKU_POSTGRESQL_CHARCOAL_URL Adding heroku-postgresql:standard-2 to sushi... done, v71 ($200/mo) Attached as HEROKU_POSTGRESQL_WHITE Follower will become available for read-only queries when up-to-date Use `heroku pg:wait` to track status
Preparing a follower can take anywhere from several minutes to several hours, depending on the size of your dataset. The
heroku pg:wait command outputs the provisioning status of any new databases.
$ heroku pg:wait Waiting for database HEROKU_POSTGRESQL_WHITE_URL... available
Creating a follower via the Heroku Data Dashboard
You can also create followers through the web dashboard:
- Go to data.heroku.com.
- Use the search and select the database you want to create a follower from.
- Click the
- Scroll down to the Followers section.
- Click the
Add a Followerbutton.
- Choose the plan for the follower. Review the Create a follower section for notes on selecting a plan size.
- Click the
The dashboard shows the status of the follower database and updates when the provisioning is complete.
Create a follower on a different app
Followers do not need to be tied to the same application. With sharable add-ons, the databases can be on two separate applications. The steps are the same as those outlined for creating a follower on the same application with a few slight differences.
heroku pg:info to find the resource name of the database that you want to follow:
$ heroku pg:info -a sushi === DATABASE_URL, HEROKU_POSTGRESQL_CHARCOAL_URL Plan: Standard 0 Status: available Add-on: looking-simply-2449 ...
Once the resource name has been found, type the add-ons command to create the follower on the app that you want it attached to. For example, if a second application is called
other-app and I want to have a follower attached to it using the main database from
$ heroku addons:create heroku-postgresql:standard-0 --follow looking-simply-2449 -a other-app
heroku pg:unfollow command stops the follower from receiving updates from its leader database and transforms it into a full read/write database containing all of the data received up to that point. This creates a database fork.
$ heroku pg:unfollow HEROKU_POSTGRESQL_WHITE_URL ! HEROKU_POSTGRESQL_WHITE_URL will become writable and no longer ! follow HEROKU_POSTGRESQL_CHARCOAL. This cannot be undone. ! WARNING: Potentially Destructive Action ! This command will affect the app: sushi ! To proceed, type "sushi" or re-run this command with --confirm sushi > sushi Unfollowing... done
Unfollowing a database is not the same as de-provisioning it. You will still be charged for the database. To completely de-provision a database, use the
heroku addons:destroy HEROKU_POSTGRESQL_WHITE command.
Database upgrades and migrations with changeovers
In addition to providing data redundancy, followers can also be used to change database plans, underlying infrastructure or minor versions with minimal downtime. To update your database with a follower, see this guide on updating Heroku Postgres.
Because followers are asynchronously updated, they may be behind their leader by some number of commits. You can view the number of commits your follower is behind by running
heroku pg:info. If your follower is increasing in the number of commits it is behind it may be due to long-running transactions on your database. Using the pg-extras plugin you can run
heroku pg:ps to get currently running transactions, then if any have been running for longer than expected you may cancel those with:
$ heroku pg:kill PROCESSID
If you are not able to cancel them, you can try terminating them with the
Heroku Postgres has an automated monitoring system for followers. It checks if the follower is more than 64 write-ahead log segments (1024MB) behind. If the lag is caused by long-running transactions/queries, we will notify you via email that you have some transactions/queries that are causing the lag.
If the situation doesn’t improve after one hour, we will terminate any long-running transactions/queries automatically. You’ll see a log entry of
terminating connection due to administrator command for terminated transactions/queries.
High availability with followers
As a general practice, use a hot standby for high availability:
- For primary Standard databases, create your own standby by adding a follower. Even if not being actively used as a read replica, creating a follower ensures that it is available for promotion in situations where the primary database becomes corrupted or unavailable.
- Primary databases on Heroku Postgres Premium, Private and Shield plans have the HA feature with automated failover which creates a hidden standby for you. There is no need to create a follower to achieve high availability.
Follower databases don’t have a hidden standby. If you require high availability on a follower itself, in addition to the primary database, provision multiple followers.
Follower databases are guaranteed to be provisioned on geographically separate infrastructure than the primary database.
Manually promoting followers in a failover event
Heroku does not automatically promote a follower database when the primary database is corrupt or inaccessible. If this functionality is required, use a premium or enterprise tier plan that does offer HA. Performing a manual database failover is the same process as a database migration starting with the enter maintenance mode step.
Distributing app reads to followers
Heroku allows you to easily horizontally scale your app by adding additional dynos to meet capacity. Similarly, as detailed above, Heroku Postgres allows you to horizontally scale your database by adding read-only followers to the lead database. While these followers are great for analytical purposes, you can also use them via your application for handling read-only queries to your data. This type of architecture can be used to improve app performance as well as work around Heroku Postgres connection limits.
Redirecting your app’s read operations to one or more followers will require changes at the code level of your app. Since each app on Heroku is different, it’s not possible to make a detailed recommendation as to how to proceed. If your app is built using a framework, it’s likely the framework will have support for using multiple databases. In other cases, there will be third-party libraries available to help with the handling of multiple databases. In some cases, especially as your app gets more complex, writing custom code will be necessary.