Overview of notebooks
This page documents an earlier version of InfluxDB. InfluxDB v2.6 is the latest stable version. View this page in the v2.6 documentation.
Learn how notebooks can help to streamline and simplify your day-to-day business processes.
See an overview of notebook concepts, notebook controls, and notebook cell types also know as the basic building blocks of a notebook.
You can think of an InfluxDB notebook as a collection of sequential data processing steps. Each step is represented by a “cell” that performs an action such as querying, visualizing, processing, or writing data to your buckets. Notebooks help you do the following:
- Create snippets of live code, equations, visualizations, and explanatory notes.
- Create alerts or scheduled tasks.
- Downsample and normalize data.
- Build runbooks to share with your teams.
- Output data to buckets.
The following options appear at the top of each notebook.
- Select Preview (or press Control+Enter) to display results of each cell without writing data. Helps to verify that cells return expected results before writing data.
Save Notebook (appears before first save)
Select Save Notebook to save all notebook cells. Once you’ve saved the notebook, this button disappears and the notebook automatically saves as subsequent changes are made.
Saving the notebook does not save cell results. When you open a saved notebook, click Run to update cell results.
Local or UTC timezone
Click the timezone drop-down list to select a timezone to use for the notebook. Select either the local time (default) or UTC.
Select from the options in the dropdown list or select Custom Time Range to enter a custom time range with precision up to nanoseconds, and then click Apply Time Range.
Notebook cell types
The following cell types are available for your notebook:
At least one data source (input) cell is required in a notebook for other cells to run.
Query Builder: Build a query with the Flux query builder.
Flux Script: Enter a raw Flux script.
Data source cells work like the Query Builder or Script Editor in Data Explorer. For more information, see how to query data with Flux and the Data Explorer.
- Table: View your data in a table.
- Graph: View your data in a graph.
- Note: Create explanatory notes or other information for yourself or your team members.
- Alert: Set up alerts. See how to monitor data and send alerts.
- Tasks: Use the notebook to set up and export a task. See how to manage tasks in InfluxDB.
Was this page helpful?
Thank you for your feedback!
Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. To find support, use the following resources:
InfluxDB Cloud and InfluxDB Enterprise customers can contact InfluxData Support.