Creating a Cluster in Databricks Community Edition
To create a cluster in Databricks Community Edition, follow these steps:
- Login to Databricks Community Edition: Start by logging into your Databricks Community Edition account.
- Navigate to Compute: Once logged in, navigate to the “Compute” section. This is where you manage clusters.
- Create a Cluster: Click on “Create Cluster” to begin the process of setting up a new cluster.
- Choose Cluster Details: You will need to choose a name for your cluster. In the Community Edition, you cannot select the instance type as it is serverless, with 15 GB of memory, two CPUs, and one DBU (Databricks Unit). The cluster will automatically timeout after two hours.
- Select Runtime: Choose the runtime version for your cluster. You can select the newest available runtime or opt for a Long-Term Support (LTS) version if stability is important.
- Configure Additional Settings: You can set Spark configurations and environment variables if needed. However, these are optional.
- Start the Cluster: Click “Create Cluster” to initiate the creation process. Wait for the cluster to start.
Frequently Asked Questions
FAQs
- Q: Can I choose the instance type in Databricks Community Edition?
A: No, in Databricks Community Edition, you cannot choose the instance type as it is serverless. - Q: How long does a cluster in Databricks Community Edition stay active?
A: Clusters in Databricks Community Edition automatically timeout after two hours. - Q: What is the purpose of Long-Term Support (LTS) runtime versions?
A: LTS runtime versions are designed to provide stability over time, ensuring that they remain available for longer periods compared to non-LTS versions. - Q: Can I restart a cluster in Databricks Community Edition?
A: Once a cluster in Databricks Community Edition times out, you cannot restart it. You need to create a new cluster. - Q: How do I attach a notebook to a cluster in Databricks?
A: To attach a notebook to a cluster, use the compute selector in the notebook toolbar and select the desired cluster from the dropdown menu. - Q: Can I use SQL warehouses with Databricks Community Edition?
A: No, SQL warehouses are not available in Databricks Community Edition. They require a Pro or Serverless tier. - Q: What is the maximum size for a notebook cell in Databricks?
A: The maximum size for a notebook cell (input and output) in Databricks is 16 MB.
Bottom Line
Creating a cluster in Databricks Community Edition is straightforward and involves selecting a runtime and waiting for the cluster to start. However, it comes with limitations such as automatic timeouts and lack of instance type selection. For more flexibility, consider upgrading to a paid tier.