ClickHouse/docs/en/sql-reference/aggregate-functions/reference/quantilebfloat16.md
2022-06-02 04:55:18 -06:00

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# quantileBFloat16
Computes an approximate [quantile](https://en.wikipedia.org/wiki/Quantile) of a sample consisting of [bfloat16](https://en.wikipedia.org/wiki/Bfloat16_floating-point_format) numbers. `bfloat16` is a floating-point data type with 1 sign bit, 8 exponent bits and 7 fraction bits.
The function converts input values to 32-bit floats and takes the most significant 16 bits. Then it calculates `bfloat16` quantile value and converts the result to a 64-bit float by appending zero bits.
The function is a fast quantile estimator with a relative error no more than 0.390625%.
**Syntax**
``` sql
quantileBFloat16[(level)](expr)
```
Alias: `medianBFloat16`
**Arguments**
- `expr` — Column with numeric data. [Integer](../../../sql-reference/data-types/int-uint.md), [Float](../../../sql-reference/data-types/float.md).
**Parameters**
- `level` — Level of quantile. Optional. Possible values are in the range from 0 to 1. Default value: 0.5. [Float](../../../sql-reference/data-types/float.md).
**Returned value**
- Approximate quantile of the specified level.
Type: [Float64](../../../sql-reference/data-types/float.md#float32-float64).
**Example**
Input table has an integer and a float columns:
``` text
┌─a─┬─────b─┐
│ 1 │ 1.001 │
│ 2 │ 1.002 │
│ 3 │ 1.003 │
│ 4 │ 1.004 │
└───┴───────┘
```
Query to calculate 0.75-quantile (third quartile):
``` sql
SELECT quantileBFloat16(0.75)(a), quantileBFloat16(0.75)(b) FROM example_table;
```
Result:
``` text
┌─quantileBFloat16(0.75)(a)─┬─quantileBFloat16(0.75)(b)─┐
│ 3 │ 1 │
└───────────────────────────┴───────────────────────────┘
```
Note that all floating point values in the example are truncated to 1.0 when converting to `bfloat16`.
# quantileBFloat16Weighted
Like `quantileBFloat16` but takes into account the weight of each sequence member.
**See Also**
- [median](../../../sql-reference/aggregate-functions/reference/median.md#median)
- [quantiles](../../../sql-reference/aggregate-functions/reference/quantiles.md#quantiles)