Documentation

Work with booleans

A boolean type represents a truth value (true or false).

Type name: bool

Boolean syntax

Boolean literals are represented by the following:

true
false

Convert data types to booleans

Use the bool() function to convert the following basic types to booleans:

  • string: value must be "true" or "false".
  • float: value must be 0.0 (false) or 1.0 (true).
  • int: value must be 0 (false) or 1 (true).
  • uint: value must be 0 (false) or 1 (true).
bool(v: "true")
// Returns true

bool(v: 0.0)
// Returns false

bool(v: 0)
// Returns false

bool(v: uint(v: 1))
// Returns true

Convert columns to booleans

Flux lets you iterate over rows in a stream of tables and convert columns to booleans.

To convert the _value column to booleans, use the toBool() function.

toBool() only operates on the _value column.

data
    |> toBool()
Given the following input data:
_time_value (float)
2021-01-01T00:00:00Z1.0
2021-01-01T02:00:00Z0.0
2021-01-01T03:00:00Z0.0
2021-01-01T04:00:00Z1.0
The example above returns:
_time_value (bool)
2021-01-01T00:00:00Ztrue
2021-01-01T02:00:00Zfalse
2021-01-01T03:00:00Zfalse
2021-01-01T04:00:00Ztrue

To convert any column to booleans:

  1. Use map() to iterate over and rewrite rows.
  2. Use bool() to convert columns values to booleans.
data
    |> map(fn: (r) => ({ r with running: bool(v: r.running) }))
Given the following input data:
_timerunning (int)
2021-01-01T00:00:00Z1
2021-01-01T02:00:00Z0
2021-01-01T03:00:00Z0
2021-01-01T04:00:00Z1
The example above returns:
_timerunning (bool)
2021-01-01T00:00:00Ztrue
2021-01-01T02:00:00Zfalse
2021-01-01T03:00:00Zfalse
2021-01-01T04:00:00Ztrue

Negate boolean values

To negate boolean values, use the not logical operator.

not true
// Returns false

not false
// Returns true

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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.

For information about the future of Flux, see the following:

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