再次卡住 - 需要向 MySQL 查询添加另一个 GROUP_CONCAT
感谢大家对我第一次尝试的帮助,
我正在尝试将第二个 group_concat 添加到查询中以将数据返回到 VB.Net 数据网格。我想将 2 列的结果汇总到新列中,如下所示:
现有数据
Date Sponsor Match_no Team
--------------------------------------------
1-1-11 Nike 1 Tigers
1-1-11 Nike 1 Bears
2-1-11 Crisco 2 Llamas
2-1-11 Crisco 2 Tigers
Date Sponsor Match_no Tags
--------------------------------------------
1-1-11 Nike 1 Away
1-1-11 Nike 1 Rained out
2-1-11 Crisco 2 Home
2-1-11 Crisco 2 Injury
并使用 GROUP_CONCATs 汇总两列以获得类似的结果
Date Sponsor Match_no Teams_playing Tags
----------------------------------------------------------------
1-1-11 Nike 1 Tigers vs Bears Away, Rained Out
2-1-11 Crisco 2 Llamas vs Tigers Home, injury
我在这里听取了某人的建议并在 Team_matches 和 Matches_tags 上创建了联接表现
在有 7 个表:
Dates Sponsors Match Team Tags matches_tags team_matches
--------------------------------------------------------------------------------------
Date_id Sponsor_id Match_id Team_id Tag_id Match_id Team_id
Date Sponsor_name Match_no Team_name Tag_name Tag_id Match_id
date_id sponsor_id
到目前为止我的查询是:
select d.date, s.sponsor_name, m.match_no,
group_concat(t.team_name separator ' vs ') Teams_playing,
group_concat(tg.tag_name separator ' , ') Comments
from matchs m
inner join matches_teams mte on mte.match_id = m.match_id
inner join matches_tags mta on mta.match_id = m.match_id
inner join team t on t.team_id = mte.team_id
inner join tags tg on tg.tag_id = mta.tag_id
inner join sponsors s on s.sponsor_id = m.sponsor_id
inner join dates d on d.date_id = s.date_id
group by m.match_id, d.date, s.sponsor_name, m.match_no, tg.tag_id
并返回结果:
date sponsor match_no teams playing comments
--------------------------------------------------------------------
1-1-11 Nike 1 Bears vs Tigers Rained out , Rained out
1-1-11 Nike 1 Bears vs Tigers Cancelled , Cancelled
1-1-11 Nike 3 Earwigs vs Goombas Away , Away
2-1-11 Crisco 2 Tigers vs Llamas Away , Away
这不是我之后的结果:
Thank you all for you help on my first attempt
I am trying to add a second group_concat to a query to return data to a VB.Net datagrid. I want to rollup the results of 2 columns into new columns kinda like below:
Existing data
Date Sponsor Match_no Team
--------------------------------------------
1-1-11 Nike 1 Tigers
1-1-11 Nike 1 Bears
2-1-11 Crisco 2 Llamas
2-1-11 Crisco 2 Tigers
Date Sponsor Match_no Tags
--------------------------------------------
1-1-11 Nike 1 Away
1-1-11 Nike 1 Rained out
2-1-11 Crisco 2 Home
2-1-11 Crisco 2 Injury
and roll both columns up with GROUP_CONCATs to get a result something like this
Date Sponsor Match_no Teams_playing Tags
----------------------------------------------------------------
1-1-11 Nike 1 Tigers vs Bears Away, Rained Out
2-1-11 Crisco 2 Llamas vs Tigers Home, injury
I took someone advice here and created join tables on Team_matches and Matches_tags
Now there is 7 tables :
Dates Sponsors Match Team Tags matches_tags team_matches
--------------------------------------------------------------------------------------
Date_id Sponsor_id Match_id Team_id Tag_id Match_id Team_id
Date Sponsor_name Match_no Team_name Tag_name Tag_id Match_id
date_id sponsor_id
My query so far is:
select d.date, s.sponsor_name, m.match_no,
group_concat(t.team_name separator ' vs ') Teams_playing,
group_concat(tg.tag_name separator ' , ') Comments
from matchs m
inner join matches_teams mte on mte.match_id = m.match_id
inner join matches_tags mta on mta.match_id = m.match_id
inner join team t on t.team_id = mte.team_id
inner join tags tg on tg.tag_id = mta.tag_id
inner join sponsors s on s.sponsor_id = m.sponsor_id
inner join dates d on d.date_id = s.date_id
group by m.match_id, d.date, s.sponsor_name, m.match_no, tg.tag_id
and returns results:
date sponsor match_no teams playing comments
--------------------------------------------------------------------
1-1-11 Nike 1 Bears vs Tigers Rained out , Rained out
1-1-11 Nike 1 Bears vs Tigers Cancelled , Cancelled
1-1-11 Nike 3 Earwigs vs Goombas Away , Away
2-1-11 Crisco 2 Tigers vs Llamas Away , Away
Which is not what im after:
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