databricks magic commands

This does not include libraries that are attached to the cluster. 1. This dropdown widget has an accompanying label Toys. On Databricks Runtime 10.4 and earlier, if get cannot find the task, a Py4JJavaError is raised instead of a ValueError. SQL database and table name completion, type completion, syntax highlighting and SQL autocomplete are available in SQL cells and when you use SQL inside a Python command, such as in a spark.sql command. Notebooks also support a few auxiliary magic commands: %sh: Allows you to run shell code in your notebook. To offer data scientists a quick peek at data, undo deleted cells, view split screens, or a faster way to carry out a task, the notebook improvements include: Light bulb hint for better usage or faster execution: Whenever a block of code in a notebook cell is executed, the Databricks runtime may nudge or provide a hint to explore either an efficient way to execute the code or indicate additional features to augment the current cell's task. This example exits the notebook with the value Exiting from My Other Notebook. The dbutils-api library allows you to locally compile an application that uses dbutils, but not to run it. To display help for this command, run dbutils.fs.help("mount"). To list the available commands, run dbutils.credentials.help(). //

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