Overview of notebooks

    See an overview of notebook concepts, , 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.

    Local or UTC timezone

    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.

    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.

    • 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 .

    • 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

    • Tasks: Use the notebook to set up and export a task. See how to .

    notebooks