Creating a notebook - Amazon Redshift
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Amazon Redshift will no longer support the creation of new Python UDFs starting November 1, 2025. If you would like to use Python UDFs, create the UDFs prior to that date. Existing Python UDFs will continue to function as normal. For more information, see the blog post .

Creating a notebook

You can create a notebook to organize, annotate, and share multiple SQL queries in a single document.

To create a notebook

  1. From the navigator menu, choose the Editor icon ( Horizontal lines representing redacted or censored text. ).

  2. Choose the plus icon ( Plus sign icon representing an addition or new item action. ), and then choose Notebook.

    By default, a SQL query cell appears in the notebook.

  3. In the SQL query cell, do one of the following:

    • Enter a query.

    • Paste a query that you copied.

  4. (Optionally) Choose the plus icon ( Plus sign icon representing an addition or new item action. ), then choose Markdown to add a Markdown cell where you can provide descriptive or explanatory text using standard Markdown syntax.

  5. (Optionally) Choose the plus icon ( Plus sign icon representing an addition or new item action. ), then choose SQL to insert a SQL cell.

You can rename notebooks using the pencil icon ( Pencil icon representing an editing or writing function. ).

From the menu icon ( Three dots arranged horizontally, representing an ellipsis or "more" menu icon. ), you can also perform the following operations on a notebook:

  • Share Share with my team – To share the notebook with your team as defined by tags. To share a notebook with your team, make sure that you have the principal tag sqlworkbench-team set to the same value as the rest of your team members in your account. For example, an administrator might set the value to accounting-team for everyone in the accounting department. For an example, see Permissions required to use the query editor v2 .

  • Export Export – To export the notebook to a local file with the .ipynb extension.

  • Import query Import query – To import a query from a local file into a cell in the notebook. You can import files with .sql and .txt extensions.

  • Save Save version – To create a version of the notebook. To see versions of a notebook, navigate to your saved notebooks and open Version history.

  • Duplicate Duplicate – To create a copy of the notebook and open it in a new notebook tab.

  • Shortcuts Shortcuts – To display the shortcuts available when authoring a notebook.