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Editorial Team
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Editorial Team
Asked: May 24, 20262026-05-24T18:53:28+00:00 2026-05-24T18:53:28+00:00

I have two tables. The first is the Match table, which represents a football

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I have two tables. The first is the Match table, which represents a football game with two teams. The second is a Team table which represents a team. There will be approximately 18 teams in the Team table. There will be approximately 34 matches in the Match table.

Rather than creating a many-to-many join what I’d like to do is create a simple join for:

Match.matchID ——————–> 1

Match.team1 ———————-> Team.teamID

Match.team2 ———————-> Team.teamID

There can be only a single teamID for Match.team1 and a single teamID for Match.team2. How would I go about doing this in classicaly sqlalchemy? I currently have the following for the Match table:

match_table = Table('match',metadata,
  Column('matchID', Integer, primary_key=True),
  Column('matchTeam1',Integer,ForeignKey('team.teamID')),
  Column('matchTeam2',Integer,ForeignKey('team.teamID')),

and the following for the Team table:

team_table = Table('team',metadata,
  Column('teamID',Integer,primary_key=True),
  Column('teamShortName',String),

How would I go about creating a mapping here? Something like the following does not seem to work – is there a different syntax to use?

mapper(Match,match_table,properties={
  'team1':relationship(Team),
  'team2':relationship(Team),
})
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  1. Editorial Team
    Editorial Team
    2026-05-24T18:53:29+00:00Added an answer on May 24, 2026 at 6:53 pm
        mapper(Match,match_table,properties={
          'team1':relationship(Team, foreign_keys=[match_table.c.matchTeam1], 
              primaryjoin=match_table.c.matchTeam1==team_table.teamID),
          'team2':relationship(Team, foreign_keys=[match_table.c.matchTeam2], 
              primaryjoin=match_table.c.matchTeam2==team_table.teamID),
        })
    
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