Returns the value of summing the first argument and the second argument. Equivalent to the
+ operator.- Each argument can be a literal Integer or Decimal number, a function returning a number, or a reference to a column containing numeric values.
NOTE: Within an expression, you might choose to use the corresponding operator, instead of this function. For more information, see Numeric Operators.
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
add(2,3)
Output: Returns the sum of the values 2 and 3.
Syntax and Arguments
add(value1, value2)
| Argument | Required? | Data Type | Description |
|---|---|---|---|
| value1 | Y | string | The first value must be an Integer or Decimal literal, column reference, or expression that evaluates to one of those two numeric types. |
| value2 | Y | string | The first value must be an Integer or Decimal literal, column reference, or expression that evaluates to one of those two numeric types. |
For more information on syntax standards, see Language Documentation Syntax Notes.
value1, value2
Integer or Decimal expressions, column references or literals to sum together.
- Missing or mismatched values generate missing string results.
Usage Notes:
| Required? | Data Type | Example Value |
|---|---|---|
| Yes | Literal, function, or column reference returning an Integer or Decimal value | myScore * 10 |
Tip: For additional examples, see Common Tasks.
Examples
Example - Numeric Functions
- See ADD Function.
- See SUBTRACT Function.
- See MULTIPLY Function.
- See DIVIDE Function.
- See MOD Function.
- See NEGATE Function.
- See LCM Function.
Source:
| ValueA | ValueB |
|---|---|
| 8 | 2 |
| 10 | 4 |
| 15 | 10 |
| 5 | 6 |
Transformation:
Execute the following transformation steps:
| Transformation Name | New formula |
|---|---|
| Parameter: Formula type | Single row formula |
| Parameter: Formula | ADD(ValueA, ValueB) |
| Parameter: New column name | 'add' |
| Transformation Name | New formula |
|---|---|
| Parameter: Formula type | Single row formula |
| Parameter: Formula | SUBTRACT(ValueA, ValueB) |
| Parameter: New column name | 'subtract' |
| Transformation Name | New formula |
|---|---|
| Parameter: Formula type | Single row formula |
| Parameter: Formula | MULTIPLY(ValueA, ValueB) |
| Parameter: New column name | 'multiply' |
| Transformation Name | New formula |
|---|---|
| Parameter: Formula type | Single row formula |
| Parameter: Formula | DIVIDE(ValueA, ValueB) |
| Parameter: New column name | 'divide' |
| Transformation Name | New formula |
|---|---|
| Parameter: Formula type | Single row formula |
| Parameter: Formula | MOD(ValueA, ValueB) |
| Parameter: New column name | 'mod' |
| Transformation Name | New formula |
|---|---|
| Parameter: Formula type | Single row formula |
| Parameter: Formula | NEGATE(ValueA) |
| Parameter: New column name | 'negativeA' |
| Transformation Name | New formula |
|---|---|
| Parameter: Formula type | Single row formula |
| Parameter: Formula | LCM(ValueA, ValueB) |
| Parameter: New column name | 'lcm' |
Results:
With a bit of cleanup, your dataset results might look like the following:
| ValueA | ValueB | lcm | negativeA | mod | divide | multiply | subtract | add |
|---|---|---|---|---|---|---|---|---|
| 8 | 2 | 8 | -8 | 0 | 4 | 16 | 6 | 10 |
| 10 | 4 | 20 | -10 | 2 | 2.5 | 40 | 6 | 14 |
| 15 | 10 | 30 | -15 | 5 | 1.5 | 150 | 5 | 25 |
| 5 | 6 | 30 | -5 | 5 | 0.833333333 | 30 | -1 | 11 |
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