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.

    Save Notebook (appears before first save)

    Saving the notebook does not save cell results. When you open a saved notebook, click Run to update cell results.

    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.

    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.

    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.