Provisioning zero worker nodes lets you retain and access you cluster and notebook configurations, but will not allow you to run calculations.
How to manage and delete a Data Lab for Apache Spark™
This page explains how to manage and delete your Data Lab for Apache Spark™.
Before you startLink to this anchor
To complete the actions presented below, you must have:
- A Scaleway account logged into the console
- Owner status or IAM permissions allowing you to perform actions in the intended Organization
- Created a Data Lab for Apache Spark™ cluster
How to manage a Data Lab for Apache Spark™Link to this anchor
-
Click Data Lab under Managed Services on the side menu. The Data Lab for Apache Spark™ page displays.
-
Click the name of the Data Lab cluster you want to manage. The overview tab of the cluster displays. From this view, you can see the configuration of your cluster.
-
Click the Settings tab.
-
From this view, you can:
- Add, consult, or delete tags for your cluster.
- Update the number of worker nodes provisioned for your cluster.
Note
- Delete your Data Lab cluster.
Once you have created a Data Lab cluster, you cannot edit the node type. You must create a new Data Lab cluster instead.
How to delete a Data Lab for Apache Spark™Link to this anchor
This action is irreversible and will permanently delete this Data Lab cluster and its configuration. The data source will not be deleted.
-
Click Data Lab under Managed Services on the side menu. The Data Lab for Apache Spark™ page displays.
-
Click the name of the Data Lab cluster you want to delete. The Overview tab of the cluster displays.
-
Click the Settings tab, then select Delete cluster.
-
Enter DELETE in the confirmation pop-up to confirm your action.
-
Click Delete Data Lab cluster.
You can also delete a Data Lab cluster by clicking «See more Icon» next to its name, then Delete.