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toDecimal

Converts a string or numeric value to a decimal value. The toDecimal function ignores leading spaces.

Syntax

util:toDecimal(value, scale)

The following table describes the arguments:

Argument	Required/ Optional	Description
value	Required	Must be a string or numeric data type. Passes the value that you want to convert to decimals. You can enter any valid transformation expression.
scale	Optional	Must be an integer literal between 0 and 28, inclusive. Specifies the number of digits allowed after the decimal point. If you omit this argument, the function returns a value with the same scale as the input value. This argument is required in advanced mode.

Return Value

Decimal of precision and scale between 0 and 28, inclusive.

0 if the value in the selected column is an empty string or a non-numeric character.

NULL if a value passed to the function is NULL.

Example

This expression uses values from the column IN_TAX. The data type is decimal with precision of 10 and scale of 3:

util:toDecimal(IN_TAX, 3)

The following table lists some sample values and return values:

IN_TAX	RETURN VALUE
'15.6789'	15.679
'60.2'	60.200
'118.348'	118.348
NULL	NULL
'A12.3Grove'	0

This expression uses values from the column Sales. The data type is decimal with precision of 10 and scale of 2:

util:toDecimal(Sales, 2)

The following table lists some sample values and return values:

Sales	RETURN VALUE
'1234'	1234
'1234.01'	1234.01

If you want the return value in 1234.00 format, you can use the following expression:

format-number(util:toDecimal('1234', 2), '0.00')

The toDecimal function support up to 28 precision. If you pass a value with precision greater than 28, such as 32, you will encounter an issue even after enabling high precision.

If you want a 32-digit value intact from the source to the target, you must define the value as string from source to target with 32 precision. You will be able to load the value to the target database even if that database has a numeric data type and the target definition has a string data type. However, you must ensure that the data type of the column in the target database accepts a precision of 32.

Decimal overflow

If the size of the number on the left hand side of the decimal point exceeds the precision, the decimal operation overflows.

To resolve this, modify the scale and/or precision of the expression port and connect downstream ports of the mapping to accommodate the size of the input data in the expression.

For example:

If a numeric field is defined to be size 28 with scale of 15, this accepts 13 numbers on the left side of the decimal and 15 on the right. So the following numbers would be valid for a number of 28,15:

1234567890123.11143

13575.123451234567891

However, these numbers would cause a decimal overflow error:

111112222233333.4444

123.1111122222333334

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