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.
0
2
1254
-1254
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
fortrue
or0
forfalse
- 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:
- Import the
math
package. - 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:
- Import the
contrib/bonitoo-io/hex
package. - Use
hex.int()
to convert the hexadecimal string to an integer.
import "contrib/bonitoo-io/hex"
hex.int(v: "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.
data
|> toInt()
Given the following input data:
_time | _value (float) |
---|---|
2021-01-01T00:00:00Z | 1.23 |
2021-01-01T02:00:00Z | 4.56 |
2021-01-01T03:00:00Z | 7.89 |
2021-01-01T04:00:00Z | 10.11 |
The example above returns:
_time | _value (int) |
---|---|
2021-01-01T00:00:00Z | 1 |
2021-01-01T02:00:00Z | 4 |
2021-01-01T03:00:00Z | 7 |
2021-01-01T04:00:00Z | 10 |
To convert any column to integers:
data
|> map(fn: (r) => ({ r with uid: int(v: r.uid) }))
Given the following input data:
_time | index (string) |
---|---|
2021-01-01T00:00:00Z | 100010024 |
2021-01-01T02:00:00Z | 100050213 |
2021-01-01T03:00:00Z | 200130763 |
2021-01-01T04:00:00Z | 101420099 |
The example above returns:
_time | index (int) |
---|---|
2021-01-01T00:00:00Z | 100010024 |
2021-01-01T02:00:00Z | 100050213 |
2021-01-01T03:00:00Z | 200130763 |
2021-01-01T04:00:00Z | 101420099 |
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
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