I am using Google Analytics and processing the data with Bigquery, I need to do a matrix multiplication.
What is the most feasible way of implementing matrix mu
Assuming MatrixA is a table with below columns:
i, k, value
and MatrixB - has schema as
k, j, value
and also assuming that range of k-values is the same in both tables:
This would mimic below matrices :
Matrix A
2 -3 4
-1 0 2
Matrix B
-1 2 3
0 1 7
1 1 -2
Below code for multiplication is for BigQuery Standard SQL
#standardSQL
WITH MatrixA AS (
SELECT 1 AS i, 1 AS k, 2 AS val UNION ALL
SELECT 1, 2, -3 UNION ALL
SELECT 1, 3, 4 UNION ALL
SELECT 2, 1, -1 UNION ALL
SELECT 2, 2, 0 UNION ALL
SELECT 2, 3, 2
), MatrixB AS (
SELECT 1 AS k, 1 AS j, -1 AS val UNION ALL
SELECT 1, 2, 2 UNION ALL
SELECT 1, 3, 3 UNION ALL
SELECT 2, 1, 0 UNION ALL
SELECT 2, 2, 1 UNION ALL
SELECT 2, 3, 7 UNION ALL
SELECT 3, 1, 1 UNION ALL
SELECT 3, 2, 1 UNION ALL
SELECT 3, 3, -2
)
SELECT i, j, SUM(a.val * b.val) val
FROM MatrixA AS a
CROSS JOIN MatrixB AS b
WHERE a.k = b.k
GROUP BY i, j
ORDER BY i, j
result will be as below
Row i j val
1 1 1 2
2 1 2 5
3 1 3 -23
4 2 1 3
5 2 2 0
6 2 3 -7
which represents MatrixA * MatrixB
2 5 -23
3 0 -7
as a note: you can use
FROM MatrixA AS a
JOIN MatrixB AS b
ON a.k = b.k
instead of
FROM MatrixA AS a
CROSS JOIN MatrixB AS b
WHERE a.k = b.k
just matter of your preferences