Explain how to run Azure Databricks.

Azure Databricks CLI Script for Workspace and Cluster Configuration

Here's an example Azure Databricks CLI script that configures a workspace and creates a cluster:

1. Set your Databricks environment:

   # Replace these values with your own
   export DATABRICKS_HOST="https://<your-workspace>.azuredatabricks.net"
   export DATABRICKS_TOKEN="<your-access-token>"

2. Configure the workspace:

   # Set the desired runtime version (e.g., 10.4 LTS)
   DATABRICKS_RUNTIME_VERSION="10.4-LTS"
   
   # Define the cluster configuration
   CLUSTER_NAME="MySampleCluster"
   CLUSTER_NODE_TYPE="Standard_DS3_v3"
   CLUSTER_NUM_WORKERS=3
   
   # Create the cluster
   databricks clusters create \
       --cluster-name "${CLUSTER_NAME}" \
       --num-workers "${CLUSTER_NUM_WORKERS}" \
       --node-type "${CLUSTER_NODE_TYPE}" \
       --spark-version "${DATABRICKS_RUNTIME_VERSION}"
   
   # Wait for the cluster to start
   while [ "$(databricks clusters get --cluster-name ${CLUSTER_NAME} --json | jq -r '.state')" != "RUNNING" ]; do
       sleep 10
   done
   
   echo "Cluster '${CLUSTER_NAME}' is now running."

Explanation:

• This script first sets the Databricks host and access token, which you can find in your Azure Databricks workspace settings.
• It then sets the desired runtime version for the cluster.
• It defines the cluster name, node type (number of cores and memory), and the number of worker nodes.
• The databricks clusters create command is used to create the cluster with the specified configuration.
• A loop waits until the cluster state is reported as "RUNNING" before printing a confirmation message.

Additional options:

• You can configure additional cluster parameters like auto-scaling, local storage, and access control lists.
• The script can be integrated with other tools like CI/CD pipelines for automated cluster creation and management.
• Consider saving the script in a file with appropriate permissions for secure execution.

Remember to update the script with your specific values and customize it as needed for your desired cluster configuration.

Note: This example uses Linux commands. If you're working on Windows, adapt the syntax accordingly.