|
- Printing secret value in Databricks - Stack Overflow
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 shared access mode limitations - Stack Overflow
You're correct about listed limitations But when you're using Unity Catalog, especially with shared clusters, you need to think a bit differently than before UC + shared clusters provide very good users isolation, not allowing to access data without necessary access control (DBFS doesn't have access control at all, and ADLS provides access control only on the file level) You will need to
- Is there a way to use parameters in Databricks in SQL with parameter . . .
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:
- Databricks: managed tables vs. external tables - Stack Overflow
While Databricks manages the metadata for external tables, the actual data remains in the specified external location, providing flexibility and control over the data storage lifecycle This setup allows users to leverage existing data storage infrastructure while utilizing Databricks' processing capabilities
- databricks - DLT - Views v Materialized Views syntax and how to declare . . .
In Python, Delta Live Tables determines whether to update a dataset as a materialized view or streaming table based on the defining query The @table decorator is used to define both materialized views and streaming tables To define a materialized view in Python, apply @table to a query that performs a static read against a data source To define a streaming table, apply @table to a query
- Databricks Permissions Required to Create a Cluster
In Azure Databricks, if you want to create a cluster, you need to have the " Can Manage " permission This permission basically lets you handle everything related to clusters, like making new ones and controlling existing ones
- how to get databricks job id at the run time - Stack Overflow
1 I am trying to get the job id and run id of a databricks job dynamically and keep it on in the table with below code
- Databricks CREATE VIEW equivalent in PySpark - Stack Overflow
CREATE OR REPLACE VIEW myview as select last_day(add_months(current_date(),-1)) Can someone let me know the equivalent of the above is in PySpark? Basically, I need to create a dataframe from the above Databricks SQL code, but it needs to written in PySpark
|
|
|