Ok, first off I think you are almost there. From looking at the schema and data one thing I have noticed is that you seem to have overlooked the fact that a friendship is bi-directional. So when you create a friend entry from a request you also need to create one in the other direction as well:
INSERT INTO `default_friend` (`friend_id`, `user_id`, `is_suscriber`, `privacy`, `created_at`, `friend_list_id`, `approved`)
VALUES (1, 2, 1, 0, '2012-08-13 18:16:11', 0, 1);
After you have done that your query should be more like the result you are after. Running this query:
select distinct u.id as `user_id`, u.username, f.id as `friend_id`, f.username as friend, s.*
from default_users as u
left join default_friend as df on df.user_id = u.id
left join default_users as f on f.id = df.friend_id
left join default_status as s on s.user_id = u.id
left join default_comment as c on c.status_id = s.status_id
order by s.status_id;
returns the following result set:
user_id username friend_id friend status_id message created_at privacy user_id is_reply device
1 admin 2 demo 1 dasdasdasdasdasd 2012-08-13 19:45:37 NULL 1 0
2 demo 1 admin 2 dasdasdasdasdasd 2012-08-13 19:46:03 NULL 2 0
1 admin 2 demo 3 dasdsad344hbvnbnhjhgjhjghjhj 2012-08-13 21:54:53 NULL 1 0
Is this anywhere near what you are looking for?
As DBNull pointed out, you are experiencing this challenge because the Team column is breaking First Normal Form. The values in that column should be atomic.
You have two options here. The first is to follow DBNull's recommendation of having the teams registered in their own Team table and having a separate TeamGroup table to store Team Groups. While you're at it you could throw in the third table to store the Tasks that the Team Groups are bound to (trusting they are bound to be changed from time to time and you'd like to know that history).
The second option is to write a script that does pretty much what you'd be doing in the first option except it reflects the change back to the table in the de-normalized format.
This isn't trivial. You'll need to loop over each row, split the column into the atomic team names and then query the table using a FIND_IN_SET() for each team name plus ensuring not to match the row your cursor is pointing to. Every time the table changes you'll need to re-run the query.
Here is some SQL that demonstrates normalizing the data. It has foreign keys for data consistency. The task IDs are not stored in the team_group table in this example instead a separate table exists which allows for multiple tasks.
CREATE TABLE `team` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(256) NOT NULL COMMENT 'Name of Team',
`updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE `team_group` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(256) NOT NULL DEFAULT '' COMMENT 'Optional Name of Team Group',
`updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='a team group can be one or more teams';
CREATE TABLE `team_group_map` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`team_id` int(10) unsigned NOT NULL,
`group_id` int(10) unsigned NOT NULL,
`updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
UNIQUE KEY `unq_team_group` (`team_id`,`group_id`),
KEY `group_id` (`group_id`),
CONSTRAINT `team_group_map_ibfk_1` FOREIGN KEY (`team_id`) REFERENCES `team` (`id`) ON DELETE CASCADE,
CONSTRAINT `team_group_map_ibfk_2` FOREIGN KEY (`group_id`) REFERENCES `team_group` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='Binds teams to a team group';
CREATE TABLE `task` (
`id` mediumint(8) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(256) NOT NULL,
`updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE `task_group_map` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`task_id` mediumint(8) unsigned NOT NULL,
`group_id` int(10) unsigned NOT NULL,
`updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
UNIQUE KEY `unq_group_task` (`group_id`,`task_id`),
KEY `task_id` (`task_id`),
CONSTRAINT `task_group_map_ibfk_1` FOREIGN KEY (`task_id`) REFERENCES `task` (`id`) ON DELETE CASCADE,
CONSTRAINT `task_group_map_ibfk_2` FOREIGN KEY (`group_id`) REFERENCES `team_group` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='Binds tasks to a team group';
-- Add a new team
INSERT INTO team (name) VALUES ('Team1');
-- Add a new group and add an existing team to it
INSERT INTO team_group (name) VALUES ('Euro east group');
-- Get ID for this group
SELECT id FROM team_group WHERE name = 'Euro east group';
-- Get team's ID
SELECT id FROM team WHERE name = 'Team1';
-- Add team to the group (team_id = 1, group_id = 1)
INSERT INTO team_group_map (team_id, group_id) VALUES (1, 1);
-- Add a task and set it for a group
INSERT INTO task (name) VALUES ('Win Finals');
-- Get ID for this task
SELECT id FROM task WHERE name = 'Win Finals';
-- Get team's ID
SELECT id FROM team WHERE name = 'Team1';
-- Add task to the group (task_id = 1, group_id = 1)
INSERT INTO task_group_map (task_id, group_id) VALUES (1, 1);
-- Select the teams and group IDs
SELECT team.name, group_id
FROM team_group_map
INNER JOIN team ON (team.id = team_id);
-- Select the teams and group names
SELECT team.name, group.name
FROM team_group_map
INNER JOIN team ON (team.id = team_id)
INNER JOIN team_group AS `group` ON (group.id = group_id);
-- Select the groups, their task IDs and when the tasks were added to the group
SELECT group.name, task_id, map.updated_at
FROM task_group_map AS map
INNER JOIN team_group AS `group` ON (group.id = group_id);
-- Select the groups and their task Names + when tasks were added to group
SELECT group.name, task.name, map.updated_at
FROM task_group_map AS map
INNER JOIN task ON (task.id = task_id)
INNER JOIN team_group AS `group` ON (group.id = group_id);
-- Select the most recent task for a group
SELECT task.name, map.updated_at
FROM task_group_map AS map
INNER JOIN task ON (task.id = task_id)
WHERE group_id = 1
ORDER BY map.updated_at DESC
LIMIT 1;
Best Answer