Work with integers

An integer type represents a signed 64-bit integer.

Type name: int
Min value: -9223372036854775808
Max value: 9223372036854775807

Integer syntax

An integer literal contains one or more digits (0-9) optionally preceded by - to indicate a negative number. -0 is equivalent to 0 and is not a negative number.


Convert data types to integers

Use the int() function to convert the following basic types to integers:

  • string: returns the integer equivalent of the numeric string ([0-9])
  • bool: returns 1 for true or 0 for false
  • duration: returns the number of nanoseconds in the duration
  • time: returns the equivalent nanosecond epoch timestamp
  • float: truncates the float value at the decimal
  • uint: returns the integer equivalent of the unsigned integer
int(v: "123")
// 123

int(v: true)
// Returns 1

int(v: 1d3h24m)
// Returns 98640000000000

int(v: 2021-01-01T00:00:00Z)
// Returns 1609459200000000000

int(v: 12.54)
// Returns 12

Round float values before converting to integers

When converting floats to integers, int() truncates the float value at the decimal (for example 12.54 to 12). You may want to round float values to the nearest whole number (12.54 to 13) before converting. To do this:

  1. Import the math package.
  2. Use math.round() to round the float value before converting it to an integer.
import "math"

int(v: math.round(x: 12.54))
// Returns 13

Convert a hexadecimal string to an integer

To convert a hexadecimal string representation of a number to an integer:

  1. Import the contrib/bonitoo-io/hex package.
  2. Use to convert the hexadecimal string to an integer.
import "contrib/bonitoo-io/hex" "1e240")
// Returns 123456

Convert columns to integers

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

To convert the _value column to integers, use the toInt() function.

toInt() only operates on the _value column.

    |> toInt()
Given the following input data:
_time_value (float)
The example above returns:
_time_value (int)

To convert any column to integers:

  1. Use map() to iterate over and rewrite rows.
  2. Use int() to convert columns values to integers.
    |> map(fn: (r) => ({ r with uid: int(v: r.uid) }))
Given the following input data:
_timeindex (string)
The example above returns:
_timeindex (int)

Operate on integers

Perform arithmetic operations on integers

To perform operations like adding, subtracting, multiplying, or dividing integers, use Flux arithmetic operators. Operands must be the same type. The operation returns an integer.

When operating with integer operands, fractional results are truncated at the decimal.

1 + 45
// Returns 46

1 - 45
// Returns -44

12 * 100
// Returns 1200

100 / 200
// Returns 0

10 ^ 2
// Returns 100

Perform bitwise operations on integers

Use the experimental/bitwise package to perform bitwise operations on integers.

import "experimental/bitwise"

bitwise.sand(a: 12, b: 21)
// Returns 4

bitwise.sor(a: 12, b: 21)
// Returns 29

bitwise.sxor(a: 12, b: 21)
// Returns 25

bitwise.sclear(a: 12, b: 21)
// Returns 8

bitwise.snot(a: 12)
// Returns -13

bitwise.slshift(a: 12, b: 21)
// Returns 25165824

bitwise.srshift(a: 21, b: 4)
// Returns 1

Compare integers

Use Flux comparison operators to compare integers. Operands must be the same type. The operation returns a boolean.

12345600 == 12345601
// Returns false

2 > -2
// Returns true

Was this page helpful?

Thank you for your feedback!

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: