VECTOR_SQUARED_EUCLIDEAN_DISTANCE

Reference material for VECTOR_SQUARED_EUCLIDEAN_DISTANCE function

VECTOR_SQUARED_EUCLIDEAN_DISTANCE

Returns the squared Euclidean distance, or squared L2 distance between two vectors. The squared Euclidean distance measures how far apart two vectors based on the size of their differences, without considering direction. By squaring the difference, it emphasizes larger differences, which can help in finding outliers or large deviations.

Syntax

VECTOR_SQUARED_EUCLIDEAN_DISTANCE(<array>, <array>)

Parameters

Parameter	Description	Supported input types
<array>	The first array used in the distance calculation.	Any array of numeric data types.
<array>	The second array used in the distance calculation.	Any array of numeric data types.

Notes

Both input array arguments must have the same number of elements.

Return Type

DOUBLE

Examples

Example

The following code returns the squared Euclidean distance between two vectors:

SELECT VECTOR_SQUARED_EUCLIDEAN_DISTANCE([1, 2], [3, 4]) AS distance;

distance double
8

Rows: 1Execution time: 5.11ms

Example

The following code returns the squared Euclidean distance between two identical vectors:

SELECT VECTOR_SQUARED_EUCLIDEAN_DISTANCE([1, 1], [1, 1]) AS distance;

distance double
0

Rows: 1Execution time: 5.10ms

Example

The following code returns the squared Euclidean distance between two vectors that are very far apart:

SELECT VECTOR_SQUARED_EUCLIDEAN_DISTANCE([1, 1], [10, 10]) AS distance;

distance double
162

Rows: 1Execution time: 6.33ms