Create cluster

Create and configure a cluster to run queries in a Serverless e6data workspace on AWS.

A cluster is the compute that runs your queries. After connecting a catalog, create a cluster to start querying.

Create a cluster

1. In the Compute Plane, open the Clusters section and select Create Cluster.
2. Enter a Cluster Name (required). Naming rules:

   • Must start with a letter and end with a letter or digit.
   • 3–30 characters: letters (upper or lower case), numbers, and hyphens (for example, sales-analytics-01). Case-sensitive.
3. Select a Version (required) - the Cluster Runtime (CRT) version.
4. Select a Cluster Size (required) - the compute size.

Cluster configuration

Setting	What it does
Autoscaling	Dynamically adjusts cluster size to the workload. Requires a Maximum Executors (Scale Up To) value.
Window-based scaling	Available when autoscaling is on. Requires a Window Duration in minutes.
QPS (queries per second)	The expected query load. e6data uses it to determine planner count.
Caching	Stores query results for faster repeated execution.

Advanced settings

Select Advanced Settings to expand these options:

Setting	Default	Notes
Auto Suspension	Enabled (30 minutes)	Suspends the cluster after the set minutes of inactivity.
Auto Resume	Enabled	Resumes the cluster automatically when a query is run.
Result Set Caching	Disabled	When enabled, set a cache retention time in minutes (default 60).
Transpiler	None	Converts queries to a selected SQL dialect for compatibility: Snowflake, Trino, or Databricks.
Query Timeout	Disabled	When enabled, set a timeout in seconds (for example, 3600 for one hour) to stop long-running queries.

For deeper guidance on these options, see Cluster sizing and scaling and Suspend and resume.

See also

• Run your first query - confirm the cluster works.
• Create and manage clusters - full cluster reference.