Lets say i've got a db with 3 tables:
Players (PK id_player, name...),
Tournaments (PK id_tournament, name...),
Game (PK id_turn, FK id_tournament, FK id_player and score)
Players participate in tournaments. Table called Game keeps track of each player's score for different tournaments)
I want to create a view that looks like this:
torunament_name Winner highest_score
Tournament_1 Jones 300
Tournament_2 White 250
I tried different aproaches but I'm fairly new to sql (and alsoto this forum)
I tried using union all clause like:
select * from (select "Id_player", avg("score") as "Score" from
"Game" where "Id_tournament" = '1' group by "Id_player" order by
"Score" desc) where rownum <= 1
union all
select * from (select "Id_player", avg("score") as "Score" from
"Game" where "Id_tournament" = '2' group by "Id_player" order by
"Score" desc) where rownum <= 1;
and ofc it works but whenever a tournament happens, i would have to manually add a select statement to this with Id_torunament = nextvalue
EDIT:
So lets say that player with id 1 scored 50 points in tournament a, player 2 scored 40 points, player 1 wins, so the table should show only player 1 as the winner (or if its possible 2or more players if its a tie) of this tournament. Next row shows the winner of second tournament. I dont think Im going to put multiple games for one player in the same tournament, but if i would, it would probably count avg from all his scores.
EDIT2:
Create table scripts:
create table players
(id_player numeric(5) constraint pk_id_player primary key, name
varchar2(50));
create table tournaments
(id_tournament numeric(5) constraint pk_id_tournament primary key,
name varchar2(50));
create table game
(id_game numeric(5) constraint pk_game primary key, id_player
numeric(5) constraint fk_id_player references players(id_player),
id_tournament numeric(5) constraint fk_id_tournament references
tournaments(id_tournament), score numeric(3));
RDBM screenshot
FINAL EDIT:
Ok, in case anyone is wondering I used Jorge Campos script, changed it a bit and it works. Thank you all for helping. Unfortunately I cannot upvote comments yet, so I can only thank by posting. Heres the final script:
select
t.name,
p.name as winner,
g.score
from
game g inner join tournaments t
on g.id_tournament = t.id_tournament
inner join players p
on g.id_player = p.id_player
inner join
(select g.id_tournament, g.id_player,
row_number() over (partition by t.name order by
score desc) as rd from game g join tournaments t on
g.id_tournament = t.id_tournament
) a
on g.id_player = a.id_player
and g.id_tournament = a.id_tournament
and a.rd=1
order by t.name, g.score desc;
This query could be simplified depending on the RDBMs you are using.
select
t.name,
p.name as winner,
g.score
from
game g inner join tournaments t
on g.id_tournament = t.id_tournament
inner join players p
on g.id_player = p.id_player
inner join
(select id_tournament,
id_player,
row_number() over (partition by t.name order by score desc) as rd
from game
) a
on g.id_player = a.id_player
and g.id_tournament = a.id_tournament
and a.rd=1
order by t.name, g.score desc
Assuming what you want as "Display high score of each player in each tournament"
your query would be like below in MS Sql server
select
t.name as tournament_name,
p.name as Winner,
Max(g.score) as [Highest_Score]
from Tournmanents t
Inner join Game g on t.id_tournament=g.id_tournament
inner join Players p on p.id_player=g.id_player
group by
g.id_tournament,
g.id_player,
t.name,
p.name
Please check this if this works for you
SELECT tournemntData.id_tournament ,
tournemntData.name ,
dbo.Players.name ,
tournemntData.Score
FROM dbo.Game
INNER JOIN ( SELECT dbo.Tournaments.id_tournament ,
dbo.Tournaments.name ,
MAX(dbo.Game.score) AS Score
FROM dbo.Game
INNER JOIN dbo.Tournaments ONTournaments.id_tournament = Game.id_tournament
INNER JOIN dbo.Players ON Players.id_player = Game.id_player
GROUP BY dbo.Tournaments.id_tournament ,
dbo.Tournaments.name
) tournemntData ON tournemntData.id_tournament =Game.id_tournament
INNER JOIN dbo.Players ON Players.id_player = Game.id_player
WHERE tournemntData.Score = dbo.Game.score
I am trying to figure out what the correct syntax for UNION is. My schema looks like is the following:
Players (playerNum, playerName, team, position, birthYear)
Teams = (teamID, teamName, home, leagueName)
Games = (gameID, homeTeamNum, guestTeamNum, date)
I need to print all teamIDs where the team played against the X team but not against the Y team.
So my first idea was to check for the hometeamNum and then do a check for the guesteamNum, but I am not sure home to do the proper syntax.
SELECT DISTINCT hometeamNum
FROM games
WHERE
guestteamNum IN
(SELECT teamid FROM teams WHERE teamname = 'X') AND
guestteamNum NOT IN
(SELECT teamid FROM teams WHERE teamname = 'Y')
UNION DISTINCT
If you just need the home teams, this should suffice:
SELECT DISTINCT hometeamnum
FROM games
WHERE guestteamnum NOT IN (SELECT teamid FROM teams WHERE teamname = 'Y')
If you need both home teams and guest teams:
Select all teams that are not 'y' that didn't play agains 'y' as home team and didn't play against 'y' as guest team, and played against 'x' as guest team or played against 'x' as home team.
SELECT DISTINCT teamid
FROM teams
WHERE teamname != 'y' AND teamid NOT IN
(SELECT hometeamnum
FROM games INNER JOIN teams ON games.guestteamnum = teams.teamid
WHERE teamname = 'y'
UNION
SELECT guestteamnum
FROM games INNER JOIN teams ON games.hometeamnum = teams.teamid
WHERE teamname = 'y')
AND teamid IN
(SELECT guestteamnum
FROM games INNER JOIN teams on games.hometeamnum = teams.teamid
WHERE teamname = 'x'
UNION
SELECT hometeamnum
FROM games INNER JOIN teams on games.guestteamnum = teams.teamid
WHERE teamname = 'x');
Hopefully this is what you were after. There may be a more concise query out there but it's too late in the night for me to think of one :)
SELECT City, Country FROM Customers
WHERE Country='Germany'
UNION ALL
SELECT City, Country FROM Suppliers
WHERE Country='Germany'
ORDER BY City;
Using NOT EXISTS allows you to locate rows that don't exist. That is , you want teams that have played against 'X' which are rows that do exist and these can be located by using a simple join and where clause**. Then from those rows you need to find any that do not exist against the team 'Y'.
SELECT DISTINCT
hometeamnum
FROM games
INNER JOIN teams AS guests ON games.guestTeamNum = guests.teamID
WHERE guests.teamname = 'X'
AND NOT EXISTS (
SELECT 1
FROM games AS games2
INNER JOIN teams AS guests2 ON games2.guestTeamNum = guests2.teamID
WHERE games.hometeamnum = games2.hometeamnum
AND guests2.teamname = 'Y'
)
Notes.
EXISTS/NOT EXISTS does not actually need to return any data so it is possible to use select 1 or select null or select *. I have used select 1 here simply because it may be easier to understand - however I would personally prefer `select null' which stresses that no data is being returned by the exists subquery.
EXISTS/NOT EXISTS are both reasonably efficient and can perform better than IN (...)
** for performance, and where it does not alter the result, use a join in preference to IN ( subquery )
In this Query, I have to list pair of players with their playerID and playerName who play for the exact same teams.If a player plays for 3 teams, the other has to play for exact same 3 teams. No less, no more. If two players currently do not play for any team, they should also be included. The query should return (playerID1, playername1, playerID2, playerName2) with no repetition such as if player 1 info comes before player 2, there should not be another tuple with player 2 info coming before player 1.
For example if player A plays for yankees and redsox, and player b plays for Yankees, Red Sox, and Dodgers I should not get them. They both have to play for Yankees, and Red Sox and no one else. Right now this query finds answer if players play for any same team.
Tables:
player(playerID: integer, playerName: string)
team(teamID: integer, teamName: string, sport: string)
plays(playerID: integer, teamID: integer)
Example data:
PLAYER
playerID playerName
1 Rondo
2 Allen
3 Pierce
4 Garnett
5 Perkins
TEAM
teamID teamName sport
1 Celtics Basketball
2 Lakers Basketball
3 Patriots Football
4 Red Sox Baseball
5 Bulls Basketball
PLAYS
playerID TeamID
1 1
1 2
1 3
2 1
2 3
3 1
3 3
So I should get this as answer-
2, Allen, 3, Pierce
4, Garnett, 5, Perkins
.
2, Allen, 3 Pierce is an snwer because both play for exclusively CELTICS and PATRIOTS
4, Garnett, 5, Perkins iss an answer because both players play for no teams which should be in output.
Right now the Query I have is
SELECT p1.PLAYERID,
f1.PLAYERNAME,
p2.PLAYERID,
f2.PLAYERNAME
FROM PLAYER f1,
PLAYER f2,
PLAYS p1
FULL OUTER JOIN PLAYS p2
ON p1.PLAYERID < p2.PLAYERID
AND p1.TEAMID = p2.TEAMID
GROUP BY p1.PLAYERID,
f1.PLAYERID,
p2.PLAYERID,
f2.PLAYERID
HAVING Count(p1.PLAYERID) = Count(*)
AND Count(p2.PLAYERID) = Count(*)
AND p1.PLAYERID = f1.PLAYERID
AND p2.PLAYERID = f2.PLAYERID;
I am not 100% sure but I think this finds players who play for the same team but I want to find out players who play for the exclusively all same TEAMS as explained above
I am stuck on how to approach it after this. Any hints on how to approach this problem. Thanks for your time.
I believe this query will do what you want:
SELECT array_agg(players), player_teams
FROM (
SELECT DISTINCT t1.t1player AS players, t1.player_teams
FROM (
SELECT
p.playerid AS t1id,
concat(p.playerid,':', p.playername, ' ') AS t1player,
array_agg(pl.teamid ORDER BY pl.teamid) AS player_teams
FROM player p
LEFT JOIN plays pl ON p.playerid = pl.playerid
GROUP BY p.playerid, p.playername
) t1
INNER JOIN (
SELECT
p.playerid AS t2id,
array_agg(pl.teamid ORDER BY pl.teamid) AS player_teams
FROM player p
LEFT JOIN plays pl ON p.playerid = pl.playerid
GROUP BY p.playerid, p.playername
) t2 ON t1.player_teams=t2.player_teams AND t1.t1id <> t2.t2id
) innerQuery
GROUP BY player_teams
Result:
PLAYERS PLAYER_TEAMS
2:Allen,3:Pierce 1,3
4:Garnett,5:Perkins
It uses array_agg over the teamid for each player in plays to match players with the exact same team configuration. I Included a column with the teams for example, but that can be removed without affecting the results as long as it isn't removed from the group by clause.
SQL Fiddle example.Tested with Postgesql 9.2.4
EDIT: Fixed an error that duplicated rows.
Seems that OP probably won't be interested anymore, but in case somebody else finds it useful,
this is query in pure SQL that works (for me at least ;))
SELECT M.p1, pr1.playername, M.p2, pr2.playername FROM player pr1
INNER JOIN player pr2 INNER JOIN
(
SELECT plays1.player p1, plays2.player p2, plays1.team t1 FROM plays plays1
INNER JOIN plays plays2
ON (plays1.player < plays2.player AND plays1.team = plays2.team)
GROUP BY plays1.player, plays2.player HAVING COUNT(*) =
((SELECT COUNT(*) FROM plays plays3 WHERE plays3.player = plays1.player) +
(SELECT COUNT(*) FROM plays plays4 WHERE plays4.player = plays2.player)) /2
) M ON pr1.playerID = M.p1 AND pr2.playerID = M.p2
UNION ALL
SELECT M.pid, M.pname, N.pid2, N.pname2 FROM
(
(SELECT p.playerID pid, p.playerName pname, pl.team FROM player p
LEFT JOIN plays pl ON p.playerId = pl.player WHERE pl.team IS NULL) M
INNER JOIN
(SELECT p.playerID pid2, p.playerName pname2, pl.team FROM player p
LEFT JOIN plays pl ON p.playerId = pl.player WHERE pl.team IS NULL) N
ON (pid < pid2)
)
its not any big deal, here is solution
with gigo as(select a.playerid as playerid,count(b.teamname) as nteams from player a
full outer join plays c on a.playerid=c.playerid full outer join team b
on b.teamid=c.teamid group by a.playerid)
select array_agg(a.*),g.nteams from player a inner join gigo g on a.playerid=g.playerid
group by g.nteams having count(a.*)>1 order by g.nteams desc
This solution works for me :
SELECT TMP1. PLAYERID,TMP2.PLAYERID FROM
(
SELECT a.playerid , a.teamid,b.team_sum
FROM plays A
INNER JOIN
(
SELECT PLAYERID,SUM(teamid) AS team_sum
FROM plays
GROUP BY 1
) B
ON a.playerid=b.playerid
) TMP1
INNER JOIN
(
SELECT a.playerid , a.teamid,b.team_sum
FROM plays A
INNER JOIN
(
SELECT PLAYERID,SUM(teamid) AS team_sum
FROM plays
GROUP BY 1
) B
ON a.playerid=b.playerid
)TMP2
ON TMP1.PLAYERID < TMP2.PLAYERID
AND TMP1.TEAMID=TMP2.TEAMID
AND TMP1.TEAM_SUM=TMP2.TEAM_SUM
GROUP BY 1,2
UNION ALL
SELECT n1,n2 FROM
(
SELECT TMP3.PLAYERID AS n1,TMP4.PLAYERID AS n2 FROM
PLAYER TMP3
INNER JOIN PLAYER TMP4
ON TMP3.PLAYERID<TMP4.PLAYERID
WHERE TMP3.PLAYERID NOT IN (SELECT PLAYERID FROM plays )
AND tmp4.playerid NOT IN (SELECT playerid FROM plays)
) TMP5
Two possible solutions come to mind:
Cursor - Looping through each player and comparing him to all the others until reaching a conclusion.
Recursive query - Same idea though slightly more complicated but defiantly the better way to do it. Probably also has better performance.
Can you provide some sample data so that I can create an example?
It seems like the basic datatype you want is sets, rather than arrays. So one option may be to use PL/Python with code similar to that below (see bottom of this answer for a function that might be adapted to this end). Of course, this isn't a "pure SQL" approach by any means.
But sticking to PostgreSQL (albeit not standard SQL), you may also want to use DISTINCT with array_agg. Note that the following only gives the first pair that meets the criteria (in principle there could be many more).
WITH teams AS (
SELECT playerID, array_agg(DISTINCT teamID ORDER BY teamID) AS teams
FROM plays
GROUP BY playerID),
teams_w_nulls AS (
SELECT a.playerID, b.teams
FROM player AS a
LEFT JOIN teams AS b
ON a.playerID=b.playerID),
player_sets AS (
SELECT teams, array_agg(DISTINCT playerID ORDER BY playerID) AS players
FROM teams_w_nulls
GROUP BY teams
-- exclude players who are only share a team list with themselves.
HAVING array_length(array_agg(DISTINCT playerID ORDER BY playerID),1)>1)
SELECT a.teams, b.playerID, b.playerName, c.playerID, c.playerName
FROM player_sets AS a
INNER JOIN player AS b
ON a.players[1]=b.playerID
INNER JOIN player AS c
ON a.players[2]=c.playerID;
The query above gives the following output:
teams | playerid | playername | playerid | playername
-------+----------+------------+----------+------------
{1,3} | 2 | Allen | 3 | Pierce
| 4 | Garnett | 5 | Perkins
(2 rows)
Example PL/Python functions:
CREATE OR REPLACE FUNCTION set(the_list integer[])
RETURNS integer[] AS
$BODY$
return list(set(the_list))
$BODY$
LANGUAGE plpython2u;
CREATE OR REPLACE FUNCTION pairs(a_set integer[])
RETURNS SETOF integer[] AS
$BODY$
def pairs(x):
for i in range(len(x)):
for j in x[i+1:]:
yield [x[i], j]
return list(pairs(a_set))
$BODY$
LANGUAGE plpython2u;
SELECT set(ARRAY[1, 1, 2, 3, 4, 5, 6, 6]);
Version of code above using these functions (output is similar, but this approach selects all pairs when there is more than one for a given set of teams):
WITH teams AS (
SELECT playerID, set(array_agg(teamID)) AS teams
FROM plays
GROUP BY playerID),
teams_w_nulls AS (
SELECT a.playerID, b.teams
FROM player AS a
LEFT JOIN teams AS b
ON a.playerID=b.playerID),
player_pairs AS (
SELECT teams, pairs(set(array_agg(playerID))) AS pairs
FROM teams_w_nulls
GROUP BY teams)
-- no need to exclude players who are only share a team
-- list with themselves.
SELECT teams, pairs[1] AS player_1, pairs[2] AS player_2
FROM player_pairs;
We make a query with the count of the teams per player and sum of ascii(team_name)+team_id call it team_value. We do a self join, of the same query with itself where counts and team_values match but id not equal to id, that gives us the ID's we want to fetch
select * from player where player_id in
(
select set2.player_id orig
from
(select count(*) count,b.player_id , nvl(sum(a.team_id+ascii(team_name)),0) team_value
from plays a, player b , team c
where a.player_id(+)=b.player_id
and a.team_id = c.team_id(+)
group by b.player_id) set1,
(select count(*) count,b.player_id , nvl(sum(a.team_id+ascii(team_name)),0) team_value
from plays a, player b , team c
where a.player_id(+)=b.player_id
and a.team_id = c.team_id(+)
group by b.player_id) set2
where set1.count=set2.count and set1.team_value=set2.team_value
and set1.player_id<>set2.player_id
)
Here is the simple query with UNION and 2-3 simple joins.
1st query before UNION contains player name and playerid who has played for same number of teams for equal number of times.
2nd query after UNION contains player name and playerid who has not played for any team at all.
Simply copy paste this query and try to execute it, you will see the expected results.
select playername,c.playerid from
(select a.cnt, a.playerid from
(select count(1) cnt , PLAYERID from plays group by PLAYERID) a ,
(select count(1) cnt , PLAYERID from plays group by PLAYERID) b
where a.cnt=b.cnt
and a.playerid<> b.playerid ) c ,PLAYER d
where c.playerid=d.playerid
UNION
select e.playername,e.playerid
from player e
left outer join plays f on
e.playerid=f.playerid where nvl(teamid,0 )=0
Try this one :
Here test is PLAYS table in your question.
select group_concat(b.name),a.teams from
(SELECT playerid, group_concat(distinct teamid ORDER BY teamid) AS teams
FROM test
GROUP BY playerid) a, player b
where a.playerid=b.playerid
group by a.teams
union
select group_concat(c.name order by c.playerid),null from player c where c.playerid not in (select playerid from test);
For anyone interested, this simple query works for me
SELECT UNIQUE PLR1.PID,PLR1.PNAME, PLR2.PID, PLR2.PNAME
FROM PLAYS PLY1,PLAYS PLY2, PLAYER PLR1, PLAYER PLR2
WHERE PLR1.PID < PLR2.PID AND PLR1.PID = PLY1.PID(+) AND PLR2.PID = PLY2.PID(+)
AND NOT EXISTS(( SELECT PLY3.TEAMID FROM PLAYS PLY3 WHERE PLY3.PID = PLR1.PID)
MINUS
( SELECT PLY4.TEAMID FROM PLAYS PLY4 WHERE PLY4.PID = PLR2.PID));
select p1.playerId, p2.playerId, count(p1.playerId)
from plays p1, plays p2
WHERE p1.playerId<p2.playerId
and p1.teamId = p2.teamId
GROUP BY p1.playerId, p2.playerId
having count(*) = (select count(*) from plays where playerid = p1.playerid)
WITH temp AS (
SELECT p.playerid, p.playername, listagg(t.teamname,',') WITHIN GROUP (ORDER BY t.teamname) AS teams
FROM player p full OUTER JOIN plays p1 ON p.playerid = p1.playerid
LEFT JOIN team t ON p1.teamid = t.teamid GROUP BY (p.playerid , p.playername))
SELECT concat(concat(t1.playerid,','), t1.playername), t1.teams
FROM temp t1 WHERE nvl(t1.teams,' ') IN (
SELECT nvl(t2.teams,' ') FROM temp t2
WHERE t1.playerid <> t2.playerid)
ORDER BY t1.playerid
This is ANSI SQL , without using any special functions.
SELECT TAB1.T1_playerID AS playerID1 , TAB1.playerName1 ,
TAB1.T2_playerID AS playerID2, TAB1. playerName2
FROM
(select T1.playerID AS T1_playerID , T3. playerName AS playerName1 ,
T2.playerID AS T2_playerID , T4. playerName AS playerName2 ,COUNT (T1.TeamID) AS MATCHING_TEAM_ID_CNT
FROM PLAYS T1
INNER JOIN PLAYS T2 ON( T1.TeamID = T2.TeamID AND T1.playerID <> T2.playerID )
INNER JOIN player T3 ON ( T1.playerID=T3.playerID)
INNER JOIN player T4 ON ( T2.playerID=T4.playerID)
GROUP BY 1,2,3,4
) TAB1
INNER JOIN
( SELECT T1.playerID AS playerID, COUNT(T1.TeamID) AS TOTAL_TEAM_CNT
FROM PLAYS T1
GROUP BY T1.playerID) TAB2
ON(TAB1.T2_playerID=TAB2.playerID AND
TAB1.MATCHING_TEAM_ID_CNT =TAB2.TOTAL_TEAM_CNT)
INNER JOIN
( SELECT T1.playerID AS playerID, COUNT(T1.TeamID) AS TOTAL_TEAM_CNT
FROM PLAYS T1
GROUP BY T1.playerID
) TAB3
ON( TAB1. T1_playerID = TAB3.playerID AND
TAB1.MATCHING_TEAM_ID_CNT=TAB3.TOTAL_TEAM_CNT)
WHERE playerID1 < playerID2
UNION ALL (
SELECT T1.playerID, T1.playerName ,T2.playerID,T2.playerName
FROM
PLAYER T1 INNER JOIN PLAYER T2
ON (T1.playerID<T2.playerID)
WHERE T1.playerID NOT IN ( SELECT playerID FROM PLAYS))
Assuming your teamId is unique this query will work. It simply identifies all players that have the exact same teams by summing the teamid or if the player has no ids it will be null. Then counts the number of matches over team matches. I tested using SQL fiddle in postgre 9.3.
SELECT
b.playerID
,b.playerName
FROM (
--Join the totals of teams to your player information and then count over the team matches.
SELECT
p.playerID
,p.playerName
,m.TeamMatches
,COUNT(*) OVER(PARTITION BY TeamMatches) as Matches
FROM player p
LEFT JOIN (
--Assuming your teamID is unique as it should be. If it is then a sum of the team ids for a player will give you each team they play for.
--If for some reason your team id is not unique then rank the table and join same as below.
SELECT
ps.playerName
,ps.playerID
,SUM(t.teamID) as TeamMatches
FROM plays p
LEFT JOIN team t ON p.teamID = p.teamID
LEFT JOIN player ps ON p.playerID = ps.playerID
GROUP BY
ps.playerName
,ps.playerID
) m ON p.playerID = m.playerID
) b
WHERE
b.Matches <> 1
This Query should solve it.
By doing a self join on PLAYS.
- Compare on the player Id
- Compare the matching row count with the total count for each player.
select p1.playerId, p2.playerId, count(p1.playerId)
from plays p1, plays p2
WHERE p1.playerId<p2.playerId
and p1.teamId = p2.teamId
GROUP BY p1.playerId, p2.playerId
having count(*) = (select count(*) from plays where playerid = p1.playerid)
Create function in SQl 2008
ALTER FUNCTION [dbo].[fngetTeamIDs] ( #PayerID int ) RETURNS varchar(101) AS Begin
declare #str varchar(1000)
SELECT #str= coalesce(#str + ', ', '') + CAST(a.TeamID AS varchar(100)) FROM (SELECT DISTINCT TeamID from Plays where PayerId=#PayerID) a
return #str
END
--select dbo.fngetTeamIDs(2)
Query start here
drop table #temp,#A,#B,#C,#D
(select PayerID,count(*) count
into #temp
from Plays
group by PayerID)
select *
into #A
from #temp as T
where T.count in (
select T1.count from #temp as T1
group by T1.count having count(T1.count)>1
)
select A.*,P.TeamID
into #B
from #A A inner join Plays P
on A.PayerID=P.PayerID
order by A.count
select B.PayerId,B.count,
(
select dbo.fngetTeamIDs(B.PayerId)
) as TeamIDs
into #C
from #B B
group by B.PayerId,B.count
select TeamIDs
into #D
from #c as C
group by C.TeamIDs
having count(C.TeamIDs)>1
select C.PayerId,P.PlayerName,D.TeamIDs
from #D D inner join #C C
on D.TeamIDs=C.TeamIDs
inner join Player P
on C.PayerID=P.PlayerID
To start this isn't a duplicate of my other question with the same name, I just couldn't think of a better name for this one!
I have a SQL table named Player and another called Unit.
Each Player MUST belong to a team via a foreign key UnitID.
Each Unit can belong to another Team via a recursive field ParentUnitID.
A ParentUnit CAN be a ParentUnit (infinite recursion), but a Player can only belong to one Team.
A Unit may have many children
So it could be (top down)...
TeamA (is the top level)
TeamB (belongs to ^^)
TeamC (belongs to ^^)
TeamD (belongs to ^^)
Player_1 (belongs to ^^)
My question is, if I'm given a Player's PlayerID (the PK for that table), what is the best way to get a specific team?
See my SQLFiddle for the data, structure and a query: http://sqlfiddle.com/#!3/78965/3
With my data (from the fiddle), I want to be able to get every player under "TeamB", but then "Player4"'s top unit should be "TeamC". In order to do that all I want to pass in is the PlayerID and the ID for "TeamB". So I'm saying "get all players and top units under TeamB and then filtering out all Players except Player4.
EDIT: I believe the above paragraph should read: With my data (from the fiddle), I want to be able to establish the top team(s) that plays below "TeamB". For each top team below "TeamB" I then want to establish all players that play for or below that team. I then want the ability to limit the list of players to one or more specific players.
As you can see in SQLFiddle I get back multiple rows for each player, I'm sure it's a quick fix, but I can't figure it out... That's what I'm going for in my fiddle, but it's, well, uh, a bit fiddly... :)
Edit: More Information:
OK, so if imagine this is a stored procedure.
I pass in PlayerIDs 1,2,3,4
I pass in UnitID 2
I would expect the returned data to look something like
Player3, TeamC
Only Player3 is returned as it is the only player which is a descendant of TeamB (ID 2), and TeamC is returned as it is the highest level unit (below UnitID 2) which Player3 belongs to.
If I instead passed in:
I pass in PlayerIDs 1,2,3,4
I pass in UnitID 6
I would expect
Player1, Team2
Player2, Team2
This answer has been completely rewritten. The original did not quite work in all circumstances
I had to change the CTE to represent the full Unit hierarchy for every Unit as a possible root (top unit). It allows a true hierarchy with multiple children per Unit.
I extended the sample data in this SQL Fiddle to have a player assigned to both units 11 and 12. It properly returns the correct row for each of 3 players that play for a Unit at some level beneath Unit 1.
The "root" Unit ID and the list of player IDs is conveniently in the outermost WHERE clause at the bottom, making it easy to change the IDs as needed.
with UnitCTE as (
select u.UnitID,
u.Designation UnitDesignation,
u.ParentUnitID as ParentUnitID,
p.Designation as ParentUnitDesignation,
u.UnitID TopUnitID,
u.Designation TopUnitDesignation,
1 as TeamLevel
from Unit u
left outer join Unit p
on u.ParentUnitId = p.UnitID
union all
select t.UnitID,
t.Designation UnitDesignation,
c.UnitID as ParentUnitID,
c.UnitDesignation as ParentUnitDesignation,
c.TopUnitID,
c.TopUnitDesignation,
TeamLevel+1 as TeamLevel
from Unit t
join UnitCTE c
on t.ParentUnitID = c.UnitID
)
select p.PlayerID,
p.Designation,
t1.*
from UnitCTE t1
join UnitCTE t2
on t2.TopUnitID = t1.UnitID
and t2.TopUnitID = t1.TopUnitID
join Player p
on p.UnitID = t2.UnitID
where t1.ParentUnitID = 1
and playerID in (1,2,3,4,5,6)
Here is a slightly optimized version that has the Unit ID criteria embedded in the CTE. The CTE only computes hierarchies rooted on Units where Parent ID is the chosen Unit ID (1 in this case)
with UnitCTE as (
select u.UnitID,
u.Designation UnitDesignation,
u.ParentUnitID as ParentUnitID,
p.Designation as ParentUnitDesignation,
u.UnitID TopUnitID,
u.Designation TopUnitDesignation,
1 as TeamLevel
from Unit u
left outer join Unit p
on u.ParentUnitId = p.UnitID
where u.ParentUnitID = 1
union all
select t.UnitID,
t.Designation UnitDesignation,
c.UnitID as ParentUnitID,
c.UnitDesignation as ParentUnitDesignation,
c.TopUnitID,
c.TopUnitDesignation,
TeamLevel+1 as TeamLevel
from Unit t
join UnitCTE c
on t.ParentUnitID = c.UnitID
)
select p.PlayerID,
p.Designation,
t1.*
from UnitCTE t1
join UnitCTE t2
on t2.TopUnitID = t1.UnitID
join Player p
on p.UnitID = t2.UnitID
where playerID in (1,2,3,4,5,6)
Here is my original answer. It only works if the Unit Hierarchy is constrained to allow only one child per Unit. The SQL Fiddle example in the question has 3 children for Unit 1, so it falsely returns multiple rows for Players 3, 5 and 6 if run against Unit 1
Here is a SQL Fiddle that demonstrates the problem.
with UnitCTE as
select UnitID,
Designation UnitDesignation,
ParentUnitID as ParentUnitID,
cast(null as varchar(50)) as ParentUnitDesignation,
UnitID TopUnitID,
Designation TopUnitDesignation,
1 as TeamLevel
from Unit
where ParentUnitID is null
union all
select t.UnitID,
t.Designation UnitDesignation,
c.UnitID,
c.UnitDesignation,
c.TopUnitID,
c.TopUnitDesignation,
TeamLevel+1 as TeamLevel
from Unit t
join UnitCTE c
on t.ParentUnitID = c.UnitID
)
select p.PlayerID,
p.Designation,
t2.*
from Player p
join UnitCTE t1
on p.UnitID = t1.UnitID
join UnitCTE t2
on t2.TopUnitID = t1.TopUnitID
and t1.TeamLevel >= t2.TeamLevel
join UnitCTE t3
on t3.TopUnitID = t1.TopUnitID
and t2.TeamLevel = t3.TeamLevel+1
where t3.UnitID = 2
and playerID in (1,2,3,4)
with UnitCTE as (
select UnitID,
Designation,
ParentUnitID as ParentUnitID,
cast(null as varchar(50)) as ParentUnitDesignation,
UnitID TopUnitID,
Designation TopUnitDesignation,
1 as TeamLevel
from Unit
where ParentUnitID is null
union all
select t.UnitID,
t.Designation,
c.UnitID,
c.Designation,
c.TopUnitID,
c.TopUnitDesignation,
TeamLevel+1 as TeamLevel
from Unit t
join UnitCTE c
on t.ParentUnitID = c.UnitID
--WHERE t.UnitID = 1
),
x AS (
select Player.PlayerID,
pDesignation = Player.Designation, t1.*,
rn = ROW_NUMBER() OVER (PARTITION BY Player.PlayerID ORDER BY Player.Designation)
from Player
join UnitCTE t1
on Player.UnitID = t1.UnitID
join UnitCTE t2
on t1.TopUnitID = t2.TopUnitID
and t2.TeamLevel=2
)
SELECT * FROM x
WHERE rn = 1
ORDER BY TeamLevel