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For example, the result of
9007199254740992 + 1 is not
9007199254740993, as you might expect. Instead, due to rounding errors, the result is
9007199254740992. This is because
MAX_SAFE_INTEGER can help you avoid unexpected rounding errors and ensure that your calculations are accurate and reliable.
- Handle overflow and underflow conditions explicitly. When performing calculations with large numbers, it’s important to check for overflow and underflow conditions and handle them appropriately.
Number.MAX_SAFE_INTEGER constant that represents the largest integer that can be safely represented in the language. This value is equal to
9007199254740991, or 2^53 – 1.
Number.MAX_SAFE_INTEGER value. This can be done using various methods, such as checking the input value against the constant before storing or performing calculations, or using libraries such as
BigInt to handle larger integer values.
BigInt. If you need to work with numbers that are larger than 2^53, you should use
BigInt. Otherwise, stick with
- Comparing numbers with
NaNwill always return
false, even if the value itself is
Choosing the Right Number Data Type: Max Safe Integer vs Number Max Value.
Max Safe Integer and
Number Max Value.
9007199254740991. Attempting to represent an integer larger than this value will result in inaccuracies and rounding errors.
On the other hand, the
Therefore, if you need to work with integers that are larger than
Max Safe Integer, you will need to use a different data type, such as a BigInt or a string.