To unit test this code, you can use the Databricks Connect SDK configured in Set up the pipeline. This stage of the pipeline invokes the unit tests, specifying the name and location for both the tests and the output files. The following snippet ( addcol.py) is a library function that might be installed on an Azure Databricks cluster.How do I write a unit test for Azure Databricks?
You write a unit test using a testing framework, like the Python pytest module, and use JUnit-formatted XML files to store the test results. Azure Databricks code is Apache Spark code intended to be executed on Azure Databricks clusters. To unit test this code, you can use the Databricks Connect SDK configured in Set up the pipeline.What is a databrick notebook?
In Azure Databricks, Databrick Notebook is a web-based document, containing executable code and its output. Each Notebook, contains multiple cells where multiple commands can be executed and can be created in multiple language as Python, Scala, R and SQL.What dependencies do data scientists use in Databricks?
Also, Data Scientists working in databricks tend to use ‘dbutils’ dependencies – the databricks custom utility which provides secrets, notebook workflows, widgets etc. delighters as part of their routine model/project development.