VECTOR_ SUB
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Returns a vector blob from two input vectors by subtracting the second vector from the first vector.
It is a scalar function.
Syntax
VECTOR_SUB(vector_expression, vector_expression)
Arguments
-
vector_
: An expression that evaluates to a vector.expression The vector must be encoded as a blob containing packed single-precision or double-precision floating-point numbers in little-endian byte order.
Return Type
A blob containing packed single-precision floating-point numbers in little-endian byte order.
Remarks
A vector can be of any length, but the input blob length must be divisible by the packed vector element size (1, 2, 4 or 8 bytes, depending on the vector element).
You can specify the datatype of the vector elements in which this operation is performed on the vector by adding a suffix to the function._
.
Suffix |
Datatype |
---|---|
|
8-bit signed integer |
|
16-bit signed integer |
|
32-bit signed integer |
|
64-bit signed integer |
|
32-bit floating-point number (IEEE standard format) |
|
64-bit floating-point number (IEEE standard format) |
Examples
Example: SELECT Using VECTOR_
The following example executes VECTOR_
on a row containing two vectors.HEX()
built-in function is also used to return a readable form of the binary output.
Create a table with two BLOB
-typed columns:
CREATE TABLE vsub_t (a BLOB, b BLOB);
Using the JSON_
INSERT INTO vsub_t VALUES(JSON_ARRAY_PACK('[0.7, 0.2, 1.7]'), JSON_ARRAY_PACK('[1.0, 0.5, 2.0]'));
To demonstrate the contents of the table, use the HEX()
built-in function to return a readable form of the binary data:
SELECT HEX(a), HEX(b) FROM vsub_t;
+--------------------------+--------------------------+
| HEX(a) | HEX(b) |
+--------------------------+--------------------------+
| 3333333FCDCC4C3E9A99D93F | 0000803F0000003F00000040 |
+--------------------------+--------------------------+
Query the table using the VECTOR_
function in a SELECT
statement:
SELECT HEX(VECTOR_SUB(a, b)) FROM vsub_t;
+---------------------------+
| HEX(VECTOR_SUB(a, b)) |
+---------------------------+
| 9A9999BE9A9999BE989999BE |
+---------------------------+
You can also view the vector blob in JSON format using the JSON_
function:
SELECT JSON_ARRAY_UNPACK(VECTOR_SUB(a, b)) FROM vsub_t;
+------------------------------------------+
| JSON_ARRAY_UNPACK(VECTOR_SUB(a, b)) |
+------------------------------------------+
| [-0.300000012,-0.300000012,-0.299999952] |
+------------------------------------------+
Example: VECTOR_
The following example uses JSON_
as input parameters to the VECTOR_
built-in function.HEX()
built-in function is also used to return a readable form of the binary output:
SELECT HEX(VECTOR_SUB(JSON_ARRAY_PACK('[1.0, 0.5, 2.0]'), JSON_ARRAY_PACK('[0.7, 0.2, 1.7]')));+-----------------------------------------------------------------------------------------+| HEX(VECTOR_SUB(JSON_ARRAY_PACK('[1.0, 0.5, 2.0]'), JSON_ARRAY_PACK('[0.7, 0.2, 1.7]'))) |+-----------------------------------------------------------------------------------------+| 9A99993E9A99993E9899993E |+-----------------------------------------------------------------------------------------+1 row in set (0.11 sec)
Example: Typecasting the Datatype Using Suffixes
To perform this operation on vectors specified in a format other than the default 32-bit floating point number, specify a suffix with the VECTOR_
function.
SELECT JSON_ARRAY_UNPACK_I32(VECTOR_SUB_I32(b, a)) FROM vsub_t;
+---------------------------------------------+
| JSON_ARRAY_UNPACK_I32(VECTOR_SUB_I32(b, a)) |
+---------------------------------------------+
| [5033165,11744051,2516582] |
+---------------------------------------------+
Related Topics
Last modified: March 1, 2023