MCOLS
Updated: 31 January 2012
Use the scalar function MCOLS to find the number of columns in the string representation of a matrix.
MCOLS expects a string representation of the matrix, with columns separated by commas and rows separated by semi-colons.
Syntax
SELECT [wctMath].[wct].[MCOLS](
<@Matrix, nvarchar(max),>)
Arguments
@Matrix
a string representation of a matrix.
Return Types
[int]
Remarks
· The string representations of @Matrix must only contain numbers, commas (to separate the columns), and semi-colons to separate the rows.
· Consecutive commas will generate an error.
· Consecutive semi-colons will generate an error.
· Non-numeric data between commas will generate an error
· Non-number data between semi-colons will generate an error
· To convert non-normalized data to a string format, use the Matrix2String or the Matrix2String_q function.
· To convert normalized data to a string format, us the NMatrix2String or the NMatrix2String_q function.
Examples
Let’s assume that we had the following matrices A and we want to know the number of columns in the matrix.
A = [-79,-45,9,9,-91,-5;68,46,9,81,-61,35;83,-25,80,-67,-22,-38;77,40,-24,69,73,-20;-17,-72,-9,-72,-6,-34;64,-47,48,-54,18,11;-4,-36,7,-56,-34,-3;-41,90,78,-43,38,64;-60,-85,-31,-83,-96,-36;-40,31,-93,-62,64,10]
We could enter the following SQL to perform the calculation.
DECLARE @A as varchar(max)
SET @A = '-79,-45,9,9,-91,-5;68,46,9,81,-61,35;83,-25,80,-67,-22,-38;77,40,-24,69,73,-20;-17,-72,-9,-72,-6,-34;64,-47,48,-54,18,11;-4,-36,7,-56,-34,-3;-41,90,78,-43,38,64;-60,-85,-31,-83,-96,-36;-40,31,-93,-62,64,10'
SELECT wct.MCOLS(@A) as [Columns]
This produces the following result.
Columns
-----------
6
The matricx does not have to be assigned to a variable before passed into the MCOLS function; the string can be passed in directly.
SELECT wct.MCOLS('-79,-45,9,9,-91,-5;68,46,9,81,-61,35;83,-25,80,-67,-22,-38;77,40,-24,69,73,-20;-17,-72,-9,-72,-6,-34;64,-47,48,-54,18,11;-4,-36,7,-56,-34,-3;-41,90,78,-43,38,64;-60,-85,-31,-83,-96,-36;-40,31,-93,-62,64,10') as [Columns]
This produces the following result.
Columns
-----------
6