# Float32, Float64

Types are equivalent to types of C:

• `Float32``float`.
• `Float64``double`.

We recommend that you store data in integer form whenever possible. For example, convert fixed precision numbers to integer values, such as monetary amounts or page load times in milliseconds.

Aliases:

• `Float32``FLOAT`.
• `Float64``DOUBLE`.

When creating tables, numeric parameters for floating point numbers can be set (e.g. `FLOAT(12)`, `FLOAT(15, 22)`, `DOUBLE(12)`, `DOUBLE(4, 18)`), but ClickHouse ignores them.

## Using Floating-point Numbers

• Computations with floating-point numbers might produce a rounding error.
``````SELECT 1 - 0.9
``````
``````┌───────minus(1, 0.9)─┐
│ 0.09999999999999998 │
└─────────────────────┘
``````
• The result of the calculation depends on the calculation method (the processor type and architecture of the computer system).
• Floating-point calculations might result in numbers such as infinity (`Inf`) and “not-a-number” (`NaN`). This should be taken into account when processing the results of calculations.
• When parsing floating-point numbers from text, the result might not be the nearest machine-representable number.

## NaN and Inf

In contrast to standard SQL, ClickHouse supports the following categories of floating-point numbers:

• `Inf` – Infinity.
``````SELECT 0.5 / 0
``````
``````┌─divide(0.5, 0)─┐
│            inf │
└────────────────┘
``````
• `-Inf` — Negative infinity.
``````SELECT -0.5 / 0
``````
``````┌─divide(-0.5, 0)─┐
│            -inf │
└─────────────────┘
``````
• `NaN` — Not a number.
``````SELECT 0 / 0
``````
``````┌─divide(0, 0)─┐
│          nan │
└──────────────┘
``````

See the rules for `NaN` sorting in the section ORDER BY clause.