Documentation

Overview of notebooks

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.

Notebook concepts

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.

Notebook controls

The following options appear at the top of each notebook.

Preview/Run mode

  • 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.

Time range

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:

Data source

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.

Visualization

  • 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.

Action


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