Database cluster forks allow you to create new clusters from existing clusters based on a specific point in time. This can be helpful in restoring the cluster’s databases and data to a known working state. Forking is a cluster-level action and will replicate all the databases, users, and other settings from the original.
To fork a database cluster, find the cluster on the Databases page and open its More menu.
Choose Fork database cluster. If you don’t see this, make sure you’ve opened the cluster’s primary node and not a read-only node.
On the Fork database cluster screen that opens, there are two sections: choose a state and choose a cluster configuration.
You can choose from two states:
Latest Transaction: This state creates a copy of your database as of the time you loaded the Fork database cluster page. It won’t include transactions which occurred after you loaded the page, so you may want to refresh to capture the most recent transations in the fork.
Point in Time: This state creates a copy of your database as of a specific point in time within the last 7 days. If you choose an earlier date, you will receive an error.
You can customize the forked cluster’s configuration with the following options:
Node size: Choose a size equal to or larger than the cluster you are forking. You cannot choose a smaller plan because of the risk of data loss.
Standby nodes: Select the number of standby nodes. You can choose any number, regardless of the original cluster configuration.
Choose a datacenter: You can select a different location for the fork.
The monthly cost and hourly prorate for the new cluster will be displayed here. Billing stops when you destroy the cluster.
Choose a name for the forked cluster, between 3 and 63 characters. The name must be lowercase and may not contain spaces. All the databases and users will be copied to the fork, including the required
defaultdb database and
When all required fields are complete, click the Fork Database Cluster button to initiate the fork. A fork will take longer to provision than a new cluster as the nodes are created and the data is transferred.