display() function

display() returns the Flux literal representation of any value as a string.

Basic types are converted directly to a string. Bytes types are represented as a string of lowercase hexadecimal characters prefixed with 0x. Composite types (arrays, dictionaries, and records) are represented in a syntax similar to their equivalent Flux literal representation.

Note the following about the resulting string representation:

  • It cannot always be parsed back into the original value.
  • It may span multiple lines.
  • It may change between Flux versions.

display() differs from string() in that display() recursively converts values inside composite types to strings. string() does not operate on composite types.

Function type signature
(v: A) => string
For more information, see Function type signatures.



(Required) Value to convert for display.


Display a value as part of a table

Use array.from() and display() to quickly observe any value.

import "array"

    rows: [
            dict: display(v: ["a": 1, "b": 2]),
            record: display(v: {x: 1, y: 2}),
            array: display(v: [5, 6, 7]),

Display a record

x = {a: 1, b: 2, c: 3}

display(v: x)// Returns {a: 1, b: 2, c: 3}

Display an array

x = [1, 2, 3]

display(v: x)// Returns [1, 2, 3]

Display a dictionary

x = ["a": 1, "b": 2, "c": 3]

display(v: x)// Returns [a: 1, b: 2, c: 3]

Display bytes

x = bytes(v: "abc")

display(v: x)// Returns 0x616263

Display a composite value

x = {bytes: bytes(v: "abc"), string: "str", array: [1, 2, 3], dict: ["a": 1, "b": 2, "c": 3]}

display(v: x)// Returns
// {
//    array: [1, 2, 3],
//    bytes: 0x616263,
//    dict: [a: 1, b: 2, c: 3],
//    string: str
// }

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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

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