I have a table called as matrix which contains two columns namely cola and colb as
shown below:
Table: matrix
create table matrix
(
cola varchar(10),
colb varchar(10)
);
Insertion of rows:
insert into matrix values('A1','B1'),('A2','B2'),('A3','B3'),('A4','B4'),
('A5','B5'),('A6','B6'),('A7','B7'),('A8','B8'),
('A9','B9'),('A10','B10'),('A11','B11'),('A12','B12'),
('A13','B13'),('A14','B14'),('A15','B15'),('A16','B16'),
('A17','B17'),('A18','B18'),('A19','B19'),('A20','B20'),
('A21','B21'),('A22','B22'),('A23','B23'),('A24','B24'),
('A25','B25'),('A26','B26'),('A27','B27'),('A28','B28'),
('A29','B29'),('A30','B30');
Note: I want to show the result in the form of matrix and count which columns belongs to each others and assign the values in the matrix for each column. I have just added 30 records for just example but there may be thousands of records also. So I need to prepare a dynamic pivot table for that. The expected result as shown below.
Expected Result:
A1 A2 A3 A4 A5 A6 ................ A30
------------------------------------------------------------------
B1 | 1 0 0 0 0 0 0
|
B2 | 0 1 0 0 0 0 0
|
B3 | 0 0 1 0 0 0 0
|
B4 | 0 0 0 1 0 0 0
|
B5 | 0 0 0 0 1 0 0
|
B6 | 0 0 0 0 0 1 0
. |
. |
. |
. |
B30| 0 0 0 0 0 0 1
You can do this with crosstab() from the additional module tablefunc:
SELECT b
, COALESCE(a1, 0) AS "A1"
, COALESCE(a2, 0) AS "A2"
, COALESCE(a3, 0) AS "A3"
, ... -- all the way up to "A30"
FROM crosstab(
'SELECT colb, cola, 1 AS val FROM matrix
ORDER BY 1,2'
, $$SELECT 'A'::text || g FROM generate_series(1,30) g$$
) AS t (b text
, a1 int, a2 int, a3 int, a4 int, a5 int, a6 int
, a7 int, a8 int, a9 int, a10 int, a11 int, a12 int
, a13 int, a14 int, a15 int, a16 int, a17 int, a18 int
, a19 int, a20 int, a21 int, a22 int, a23 int, a24 int
, a25 int, a26 int, a27 int, a28 int, a29 int, a30 int);
If NULL instead of 0 works, too, it can be just SELECT * in the outer query.
Detailed explanation:
The special "difficulty" here: no actual "value". So add 1 AS val as last column.
Unknown number of categories
A completely dynamic query (with unknown result type) is not possible in a single query. You need two queries. First build a statement like the above dynamically, then execute it. Details:
Too many categories
If you exceed the maximum number of columns (1600), a classic crosstab is impossible, because the result cannot be represented with individual columns. (Also, human eyes would hardly be able to read a table with that many columns)
Arrays or document types like hstore or jsonb are the alternative. Here is a solution with arrays:
SELECT colb, array_agg(cola) AS colas
FROM (
SELECT colb, right(colb, -1)::int AS sortb
, CASE WHEN m.cola IS NULL THEN 0 ELSE 1 END AS cola
FROM (SELECT DISTINCT colb FROM matrix) b
CROSS JOIN (SELECT DISTINCT cola FROM matrix) a
LEFT JOIN matrix m USING (colb, cola)
ORDER BY sortb, right(cola, -1)::int
) sub
GROUP BY 1, sortb
ORDER BY sortb;
Build the complete grid of values with:
(SELECT DISTINCT colb FROM matrix) b CROSS JOIN (SELECT DISTINCT cola FROM matrix) aLEFT JOINexisting combinations, order by the numeric part of the name and aggregate into arrays.right(colb, -1)::inttrims the leading character from 'A3' and casts the digits to integer so we get a proper sort order.
Basic matrix
If you just want a table of 0 an 1 where x = y, this can be had cheaper:
SELECT x, array_agg((x = y)::int) AS y_arr
FROM generate_series(1,10) x
, generate_series(1,10) y
GROUP BY 1
ORDER BY 1;
SQL Fiddle building on the one you provided in the comments.
Note that sqlfiddle.com currently has a bug that kills the display of array values. So I cast to text there to work around it.
来源:https://stackoverflow.com/questions/28337765/postgresql-9-3-dynamic-pivot-table