Outer join does not give expected result

I have three tables and I want to count the number of records for each resort in each table. I am getting unexpected result that I cannot explain.

My tables are as follows:

CREATE TABLE `game_items` (
  `id_items` int(11) NOT NULL,
  `id_resort` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
INSERT INTO `game_items` (`id_items`, `id_resort`) VALUES
(36, 81),
(38, 81),
(39, 67);

CREATE TABLE `game_slopes` (
  `id_slopes` int(11) NOT NULL,
  `id_resort` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
INSERT INTO `game_slopes` (`id_slopes`, `id_resort`) VALUES
(16, 81);

CREATE TABLE `game_staff` (
  `id_staff` int(11) NOT NULL,
  `id_resort` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
INSERT INTO `game_staff` (`id_staff`, `id_resort`) VALUES
(1, 69),
(3, 67),
(5, 81),
(7, 81),
(8, 81),
(12, 81);

CREATE TABLE `game_resorts` (
  `id_resort` int(11) NOT NULL,
  `id_player` int(11) DEFAULT NULL,
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
INSERT INTO `game_resorts` (`id_resort`, `id_player`) VALUES
(66, 59),
(67, 60),
(68, 61),
(69, 62),
(70, 63),
(81, 67),
(82, 68);

      

And my request:

SELECT `game_players_tbl`.`id_player`, `game_resorts`.`id_resort`,
COUNT(game_items_tbl.id_items) as item_count,
COUNT(game_slopes_tbl.id_slopes) as slope_count,
COUNT(game_staff_tbl.id_staff) as staff_count
FROM `game_resorts`
INNER JOIN `game_players` as `game_players_tbl` ON `game_resorts`.`id_player` = `game_players_tbl`.`id_player`
LEFT OUTER JOIN `game_items` as `game_items_tbl` ON `game_resorts`.`id_resort` = `game_items_tbl`.`id_resort`
LEFT OUTER JOIN `game_slopes` as `game_slopes_tbl` ON `game_resorts`.`id_resort` = `game_slopes_tbl`.`id_resort`
LEFT OUTER JOIN `game_staff` as `game_staff_tbl` ON `game_resorts`.`id_resort` =`game_staff_tbl`.`id_resort`
GROUP BY `game_resorts`.`id_resort`
ORDER BY `game_resorts`.`reputation` DESC

      

Result:

id_player   id_resort   item_count  slope_count     staff_count     
61  68  0   0   0   
63  70  0   0   0   
67  81  8   8   8   
68  82  0   0   0   
62  69  0   0   1   
59  66  0   0   0   
60  67  1   0   1   

      

But I would expect:

id_player   id_resort   item_count  slope_count     staff_count     
61  68  0   0   0   
63  70  0   0   0   
67  81  2   1   4   
68  82  0   0   0   
62  69  0   0   1   
59  66  0   0   0   
60  67  1   0   1   

      

I don't understand why I am getting 8 in every bill for resort ID 81. I've tried different options but never got the right result.

Edit: Added game_resorts

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1 answer


The main problem you are facing is your table game_items

has multiple entries for game_resorts

. This forces you to duplicate all of your data that is joined to the table game_resorts

. As @Jorge Campos stated, it would be better if you create separate counts for each table and then join them to your resorts table.

SQL Query

SELECT `game_players_tbl`.`id_player`, `game_resorts`.`id_resort`,
game_items_tbl.Count AS item_count,
game_slopes_tbl.Count AS slope_count,
game_staff_tbl.Count AS staff_count
FROM `game_resorts`
INNER JOIN `game_players` AS `game_players_tbl` ON `game_resorts`.`id_player` = `game_players_tbl`.`id_player`
LEFT OUTER JOIN (
    SELECT  `game_items`.`id_resort`, COUNT(`game_items`.`id_items`) AS Count FROM `game_items` GROUP BY `game_items`.`id_resort`
) AS `game_items_tbl` ON `game_resorts`.`id_resort` = `game_items_tbl`.`id_resort`
LEFT OUTER JOIN (
    SELECT  `game_slopes`.`id_resort`, COUNT(`game_slopes`.`id_slopes`) AS Count FROM `game_slopes` GROUP BY `game_slopes`.`id_resort`
) AS `game_slopes_tbl` ON `game_resorts`.`id_resort` = `game_slopes_tbl`.`id_resort`
LEFT OUTER JOIN (
    SELECT  `game_staff`.`id_resort`, COUNT(`game_staff`.`id_staff`) AS Count FROM `game_staff` GROUP BY `game_staff`.`id_resort`
) AS `game_staff_tbl` ON `game_resorts`.`id_resort` =`game_staff_tbl`.`id_resort`
GROUP BY `game_resorts`.`id_resort`
ORDER BY `game_resorts`.`reputation` DESC

      



Edit: Instead of being lazy, I went and did a count of all the other tables.

Edit: Fixed the last subquery to correct the table as @remyremy pointed out

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