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A sudoku is a puzzle that consists of a 9x9 grid whose cells contain numbers between 1 and 9. At the beginning, only a few of these celles are filled in, and it's the solver's task to fill in every cell according to the following three rules:
Each row has no duplicate values in its cells Each column has no duplicate values in its cells The grid is split into 9 non-overlapping 3x3 blocks. These blocks also have no duplicate values. See also the wikipedia entry on sudoku. Most likely, you'll find a more concise description for sudoku. I have given myself the task to solve a sudoku with Oracle. Here's my solution. First, we need a table to store the values of the cells in the grid. As we're progressing with the sudoku's solution, more and more values will be inserted into this table. create table sudoku_values ( row_ number(1) not null, col_ number(1) not null, v number(1) not null, primary key (col_, row_) ); This table is filled with the initial values (also called givens): insert into sudoku_values values (1, 2, 6); insert into sudoku_values values (1, 4, 1); insert into sudoku_values values (1, 6, 4); insert into sudoku_values values (1, 8, 5); insert into sudoku_values values (2, 3, 8); insert into sudoku_values values (2, 4, 3); insert into sudoku_values values (2, 6, 5); insert into sudoku_values values (2, 7, 6); insert into sudoku_values values (3, 1, 2); insert into sudoku_values values (3, 9, 1); insert into sudoku_values values (4, 1, 8); insert into sudoku_values values (4, 4, 4); insert into sudoku_values values (4, 6, 7); insert into sudoku_values values (4, 9, 6); insert into sudoku_values values (5, 3, 6); insert into sudoku_values values (5, 7, 3); insert into sudoku_values values (6, 1, 7); insert into sudoku_values values (6, 4, 9); insert into sudoku_values values (6, 6, 1); insert into sudoku_values values (6, 9, 4); insert into sudoku_values values (7, 1, 5); insert into sudoku_values values (7, 9, 2); insert into sudoku_values values (8, 3, 7); insert into sudoku_values values (8, 4, 2); insert into sudoku_values values (8, 6, 6); insert into sudoku_values values (8, 7, 9); insert into sudoku_values values (9, 2, 4); insert into sudoku_values values (9, 4, 5); insert into sudoku_values values (9, 6, 8); insert into sudoku_values values (9, 8, 7); A view is created that shows for every cell all possible values that can be inserted without breaking the rules: create view sudoku_possible as select row_, col_, n, cnt from ( with numbers as (select level n from dual connect by level < 10) select count(n) over (partition by col_, row_) cnt, n, row_, col_ from ( -- First all possible combinations of values, rows and columns is created -- This (first select-) statement returns 9 x 9 x 9 records select all_numbers.n n, all_rows.n row_, all_cols.n col_ from numbers all_numbers cross join numbers all_rows cross join numbers all_cols -- Then, for each column, the values need to be eliminated that are already present on the -- particular column. minus select v, all_rows.n, all_cols.n from sudoku_values cross join numbers all_cols cross join numbers all_rows where col_ = all_cols.n -- Same thing for each row minus select v, all_rows.n, all_cols.n from sudoku_values cross join numbers all_rows cross join numbers all_cols where row_ = all_rows.n -- Same thing for each 3x3 block minus select v, all_rows.n, all_cols.n from sudoku_values cross join numbers all_rows cross join numbers all_cols where ceil(row_/3) + 3*ceil(col_/3) = ceil(all_rows.n/3) + 3*ceil(all_cols.n/3) ) ) s -- Finally, already existing cells must not be returned where not exists (select 1 from sudoku_values v where v.row_ = s.row_ and v.col_ = s.col_) ; Of course, the interesting cells are those whose cnt=1. Also, a function is needed that solves the sudoku: create function sudoku_solve(savepoint_level in number) return boolean as -- cnt will be set to the numbers of filled in cells in sudoku_values cnt number; -- last_cnt is used to see if we're doing any progression at all last_cnt number := 0; begin loop -- loop until... select count(*) into cnt from sudoku_values; -- cnt equals 81, in which case the sudoku is solved if cnt = 81 then return true; end if; if last_cnt = cnt then -- not doing any progression, we'll have to take a wild guess from other possibilities: -- looping over other possibile values until either... for r in (select row_, col_, n from sudoku_possible where cnt > 1 order by cnt) loop -- creating a savepoint in case we're wrong execute immediate 'savepoint sp' || savepoint_level; insert into sudoku_values values (r.row_, r.col_, r.n); -- ... the sudoke was solved, or ... if sudoku_solve(savepoint_level+1) then return true; else -- .. we realize we guessed wrong -- in which case we roll back to the last savepoint and make a new guess. execute immediate 'rollback to savepoint sp' || savepoint_level; end if; end loop; -- all guesses could not solve the sudoku, so return false: return false; else last_cnt := cnt; -- insert the obvious values: insert into sudoku_values select row_, col_, n from sudoku_possible where cnt=1; end if; end loop; end; / The function in action: declare solved boolean; begin solved := sudoku_solve(0); dbms_output.put_line(case when solved then 'solved' else 'not solved' end); end; / I am lucky, the sudoku was solved: |
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Interesting find, did you make it yourself or found it somewhere ?
Could you work this out a little so it works in php, i'm not very good at these things and would like to have a working version ![]() |
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