

Select multiple cells and then select Edit > Format Cell(s). Notebook Edit menu: Select a Python or SQL cell, and then select Edit > Format Cell(s). This menu item is visible only in Python notebook cells or those with a %python language magic. This menu item is visible only in SQL notebook cells or those with a %sql language magic.įormat Python cell: Select Format Python in the command context dropdown menu of a Python cell. You can trigger the formatter in the following ways:įormat SQL cell: Select Format SQL in the command context dropdown menu of a SQL cell. You must have Can Edit permission on the notebook to format code. %md: Allows you to include various types of documentation, including text, images, and mathematical formulas and equations.
#Markdown comments how to
For more information, see How to work with files on Databricks. For example, to run the dbutils.fs.ls command to list files, you can specify %fs ls instead. %fs: Allows you to use dbutils filesystem commands. To run a shell command on all nodes, use an init script. This command runs only on the Apache Spark driver, and not the workers. To fail the cell if the shell command has a non-zero exit status, add the -e option. %sh: Allows you to run shell code in your notebook. Notebooks also support a few auxiliary magic commands: REPLs can share state only through external resources such as files in DBFS or objects in object storage. Variables defined in one language (and hence in the REPL for that language) are not available in the REPL of another language. When you invoke a language magic command, the command is dispatched to the REPL in the execution context for the notebook.
