Method3: Using third-party tool named DBFS Explorer DBFS Explorer was created as a quick way to upload and download files to the Databricks filesystem (DBFS). This will work with both AWS and Azure instances of Databricks. You will need to create a bearer token in the web interface in order to connect.
Are there any method to write spark dataframe directly to xls/xlsx format ???? Most of the example in the web showing there is example for panda dataframes. but I would like to use spark datafr...
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 ...
2 Building on @camo's answer, since you're looking to use the secret value outside Databricks, you can use the Databricks Python SDK to fetch the bytes representation of the secret value, then decode and print locally (or on any compute resource outside of Databricks).
Databricks is smart and all, but how do you identify the path of your current notebook? The guide on the website does not help. It suggests: %scala dbutils.notebook.getContext.notebookPath res1: ...
Vaccum table Table_name retain 0 hours Retain 0 hours will remove all history snapshots there is a spark config that you need to set before vaccum as by default delta logs are maintained for 7 days. spark.conf.set("spark.databricks.delta.retentionDurationCheck.enabled", False) above is the condition to set it.
Go to the target databricks job -> Job details -> Edit permissions -> add Can Manage run for the service principal. In your azure pipeline yaml, you can get the access token for service principal (the resource ID is 2ff814a6-3304-4ab8-85cb-cd0e6f879c1d), and use it for databricks cli.
EDIT: I got a message from Databricks' employee that currently (DBR 15.4 LTS) the parameter marker syntax is not supported in this scenario. It might work in the future versions. Original question:...
By default, Azure Databricks does not have ODBC Driver installed. Run the following commands in a single cell to install MS SQL ODBC Driver on Azure Databricks cluster.
