2/28/2024 0 Comments Databricks iceberg![]() Performance metrics: You can extract performance metrics for your Databricks workspace, including details such as CPU usage, memory usage, and network traffic. If Iceberg on Snowflake sounds familiar, it is because we launched Iceberg External Table support earlier this year. Both table metadata and data is stored in customer-supplied storage. Security information: The Databricks API allows you to extract information about the security settings in your workspace, including details such as the authentication method, access controls, and encryption options. Specifically, Iceberg Tables work like Snowflake native tables with three key differences: Table metadata is in Iceberg format. Data storage information: You can extract information about the data storage options available in your Databricks workspace, including details such as the storage type, location, and configuration. Workspace information: The Databricks API allows you to extract information about the overall workspace, including details such as the workspace ID, name, and configuration. This includes details such as the user ID, name, and email address. User information: You can extract information about the users who have access to your Databricks workspace. This includes details such as the notebook ID, name, and contents. The CONVERT TO DELTA SQL command performs a one-time conversion for Parquet and Iceberg tables to Delta Lake tables. Notebook information: The Databricks API allows you to extract information about the notebooks that have been created in your workspace. This includes details such as the job ID, name, status, and configuration. Job information: You can also extract information about the jobs that have been run in your Databricks workspace. This article describes use cases and limitations for. Databricks clone for Parquet and Iceberg combines functionality used to clone Delta tables and convert tables to Delta Lake. This clause is only supported for Delta Lake tables. When you write to the table, and do not provide values for the identity column, it will be automatically assigned a unique and statistically increasing (or decreasing if step is negative) value. This includes details such as the cluster ID, name, status, and configuration. You can use Databricks clone functionality to incrementally convert data from Parquet or Iceberg data sources to managed or external Delta tables. Applies to: Databricks SQL Databricks Runtime 10.3 and above. Cluster information: The Databricks API allows you to extract information about the clusters that are currently running in your Databricks workspace.
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