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Bookmark or Share- How databricks do auto scaling for a cluster - Stack OverflowWith autoscaling, Databricks dynamically reallocates workers to account for the characteristics of your job. Certain parts of your pipeline may be more computationally demanding than others, and Databricks automatically adds additional workers during these phases of your job (and removes them when they’re no longer needed).
- REST API to query Databricks table - Stack OverflowUpdate: April 2023rd. There is a new SQL Execution API for querying Databricks SQL tables via REST API. It's possible to use Databricks for that, although it heavily dependent on the SLAs - how fast should be response. Answering your questions in order: There is no standalone API for execution of queries and getting back results (yet).
- Connecting C# Application to Azure Databricks - Stack OverflowThe Datalake is hooked to Azure Databricks. The requirement asks that the Azure Databricks is to be connected to a C# application to be able to run queries and get the result all from the C# application. The way we are currently tackling the problem is that we have created a workspace on Databricks with a number of queries that need to be executed.
- databricks - How to get the cluster's JDBC/ODBC parameters ...Databricks documentation shows how get the cluster's hostname, port, HTTP path, and JDBC URL parameters from the JDBC/ODBC tab in the UI. See image: (source: databricks.com) Is there a way to get the same information programmatically? I mean using the Databricks API or Databricks CLI.
- databricks - Difference between LIVE TABLE and STREAMING LIVE TABLE ...It's described in the documentation, on the Concepts' page.. A live table or view always reflects the results of the query that defines it, including when the query defining the table or view is updated, or an input data source is updated.
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