RANDBETWEEN Function
Generates a random integer between a low and a high number. Two inputs may be Integer or Decimal types, functions returning these types, or column references.
Range is inclusive of the two parameter values.
The first parameter must be the lower value in the range.
Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.
Basic Usage
randbetween(1,10)
Output: Generates a random Integer value between 1 and 10.
Syntax and Arguments
<span>RANDBETWEEN(value1,value2)</span>
Argument | Required? | Data Type | Description |
|---|---|---|---|
value1 | Y | Integer or Decimal | Integer or Decimal literal, function returning one of these data types, or a column reference for the lower boundary of the range. Range is inclusive of this value. |
value2 | Y | Integer or Decimal | Integer or Decimal literal, function returning one of these data types, or a column reference for the upper boundary of the range. Range is inclusive of this value. |
For more information on syntax standards, see Language Documentation Syntax Notes.
value1, value2
Literals, functions, or column references to Integer or Decimal values that are used as the lower and upper bounds, respectively, for the range.
Missing input values generate missing results.
Multiple columns and wildcards are not supported.
Usage Notes:
Required? | Data Type | Example Value |
|---|---|---|
Yes | Integer or Decimal literal, function, or column reference |
|
Examples
Tip
For additional examples, see Common Tasks.
Example - RANDBETWEEN, PI, and TRUNC functions
This example illustrates how you can apply the following functions to generate new and random data in your dataset:
RANDBETWEEN- Generate a random Integer value between two specified Integers. See RANDBETWEEN Function.PI- Generate the value of pi to 15 decimal points. See PI Function.ROUND- Round a decimal value to the nearest Integer or to a specified number of digits. See ROUND Function.TRUNC- Round a value down to the nearest Integer value. See TRUNC Function.
Source:
In the following example, a company produces 10 circular parts, the size of which is measured in each product's radius in inches.
prodId | radius_in |
|---|---|
p001 | 1 |
p002 | 2 |
p003 | 3 |
p004 | 4 |
p005 | 5 |
p006 | 6 |
p007 | 7 |
p008 | 8 |
p009 | 9 |
p010 | 10 |
Based on the above data, the company wants to generate some additional sizing information for these circular parts, including the generation of two points along each part's circumference where quality stress tests can be applied.
Transformation:
To begin, you can use the following steps to generate the area and circumference for each product, rounded to three decimal points:
Transformation Name |
|
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | ROUND(PI() * (POW(radius_in, 2)), 3) |
Parameter: New column name | 'area_sqin' |
Transformation Name |
|
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | ROUND(PI() * (2 * radius_in), 3) |
Parameter: New column name | 'circumference_in' |
For quality purposes, the company needs two tests points along the circumference, which are generated by calculating two separate random locations along the circumference. Since the RANDBETWEEN function only calculates using Integer values, you must first truncate the values from circumference_in:
Transformation Name |
|
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | TRUNC(circumference_in) |
Parameter: New column name | 'trunc_circumference_in' |
Then, you can calculate the random points using the following:
Transformation Name |
|
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | RANDBETWEEN(0, trunc_circumference_in) |
Parameter: New column name | 'testPt01_in' |
Transformation Name |
|
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | RANDBETWEEN(0, trunc_circumference_in) |
Parameter: New column name | 'testPt02_in' |
Results:
After the trunc_circumference_in column is dropped, the data should look similar to the following:
prodId | radius_in | area_sq_in | circumference_in | testPt01_in | testPt02_in |
|---|---|---|---|---|---|
p001 | 1 | 3.142 | 6.283 | 5 | 5 |
p002 | 2 | 12.566 | 12.566 | 3 | 3 |
p003 | 3 | 28.274 | 18.850 | 13 | 13 |
p004 | 4 | 50.265 | 25.133 | 24 | 24 |
p005 | 5 | 78.540 | 31.416 | 0 | 0 |
p006 | 6 | 113.097 | 37.699 | 15 | 15 |
p007 | 7 | 153.938 | 43.982 | 11 | 11 |
p008 | 8 | 201.062 | 50.265 | 1 | 1 |
p009 | 9 | 254.469 | 56.549 | 29 | 29 |
p010 | 10 | 314.159 | 62.832 | 21 | 21 |