查询以对组中的行进行排名

时间:2016-03-03 17:18:10

标签: sql derby rank row-number groupwise-maximum

我正在使用Apache Derby 10.10。

我有一个参与者列表,想要计算他们在自己国家的排名,如下:

|        Country |         Participant | Points | country_rank |
|----------------|---------------------|--------|--------------|
|      Australia |      Bridget Ciriac |      1 |            1 |
|      Australia |     Austin Bjorklun |      4 |            2 |
|      Australia |        Carrol Motto |      7 |            3 |
|      Australia |     Valeria Seligma |      8 |            4 |
|      Australia |     Desmond Miyamot |     27 |            5 |
|      Australia |      Maryjane Digma |     33 |            6 |
|      Australia |       Kena Elmendor |     38 |            7 |
|      Australia |         Emmie Hicke |     39 |            8 |
|      Australia |        Kaitlyn Mund |     50 |            9 |
|      Australia |    Alisia Vitaglian |     65 |           10 |
|      Australia |          Anika Bulo |     65 |           11 |
|             UK |          Angle Ifil |      2 |            1 |
|             UK |     Demetrius Buelo |     12 |            2 |
|             UK |      Ermelinda Mell |     12 |            3 |
|             UK |         Adeline Pee |     21 |            4 |
|             UK |     Alvera Cangelos |     23 |            5 |
|             UK |   Keshia Mccalliste |     23 |            6 |
|             UK |        Alayna Rashi |     24 |            7 |
|             UK |    Malinda Mcfarlan |     25 |            8 |
|  United States |     Gricelda Quirog |      3 |            1 |
|  United States |      Carmina Britto |      5 |            2 |
|  United States |         Noemi Blase |      6 |            3 |
|  United States |        Britta Swayn |      8 |            4 |
|  United States |        An Heidelber |     12 |            5 |
|  United States |        Maris Padill |     21 |            6 |
|  United States |     Rachele Italian |     21 |            7 |
|  United States |   Jacquiline Speake |     28 |            8 |
|  United States |      Hipolito Elami |     45 |            9 |
|  United States |          Earl Sayle |     65 |           10 |
|  United States |       Georgeann Ves |     66 |           11 |
|  United States |       Conchit Salli |     77 |           12 |

架构如下所示(sqlfiddle):

create table Country(
  id INTEGER NOT NULL GENERATED ALWAYS AS IDENTITY,
  name varchar(255),
  PRIMARY KEY (id)
);

create table Team(
  id INTEGER NOT NULL GENERATED ALWAYS AS IDENTITY,
  country_id int not null,
  PRIMARY KEY (id),
  FOREIGN KEY (country_id) REFERENCES Country(id)
);

create table Participant(
  id INTEGER NOT NULL GENERATED ALWAYS AS IDENTITY,
  team_id int not null,
  name varchar(100),
  points int,
  PRIMARY KEY (id),
  FOREIGN KEY (team_id) REFERENCES Team(id)
);

这就是我的尝试:

select
    Country.name,
    Participant.name,
    Participant.points,
    ROW_NUMBER() OVER(order by Country.name, Participant.points) as country_rank
from Country
join Team
    on Country.id = Team.country_id
join Participant
    on Team.id = Participant.team_id;

但根据apache derby doco,OVER()语句不带任何参数。

有没有人有办法达到国家排名?

3 个答案:

答案 0 :(得分:1)

考虑使用相关聚合计数子查询的非Windows函数SQL查询。由于组列(Country.name)与排名标准(Participant.points)不在同一个表中,因此我们需要在子查询中运行相同的连接,但重命名表别名以正确比较内部和外部查询。 / p>

当然,现在,在一个完美的世界中,我们现在必须考虑并列关系。因此,使用另一个非常相似的子查询(用于tie tie)添加到第一个子查询中。第二个嵌套查询匹配内部和外部查询的Country.nameParticipant.points,但按字母顺序排列Participant.name

SELECT
    Country.name AS Country,
    Participant.name AS Participant,
    Participant.points,
    (SELECT Count(*) + 1
       FROM Country subC
      INNER JOIN Team subT
              ON subC.id = subT.country_id
      INNER JOIN Participant subP
              ON subT.id = subP.team_id
      WHERE subC.name = Country.name
        AND subP.points < Participant.points) 

     +

    (SELECT Count(*)
       FROM Country subC
      INNER JOIN Team subT
              ON subC.id = subT.country_id
      INNER JOIN Participant subP
              ON subT.id = subP.team_id
      WHERE subC.name = Country.name
        AND subP.points = Participant.points
        AND subP.name < Participant.name)  As country_rank

FROM Country
INNER JOIN Team
        ON Country.id = Team.country_id
INNER JOIN Participant
        ON Team.id = Participant.team_id
ORDER BY Country.name, Participant.points;

答案 1 :(得分:1)

<强>查询

SELECT c.name AS Country,
       p.name AS Participant,
       p.points AS Points,
       (SELECT COUNT(*)
        FROM Participant p2
        JOIN Team t2 ON p2.team_id = t2.id
        WHERE t2.country_id = t.country_id
          AND (p2.points < p.points
               OR p2.points = p.points AND p2.name <= p.name)) AS country_rank
FROM Country c
JOIN Team t ON c.id = t.country_id
JOIN Participant p ON t.id = p.team_id
ORDER BY c.name, p.points, p.name;

<强>解释

可以使用简单的ANSI-SQL子选择来执行相同的工作,计算同一国家/地区参与者的记录数量,这些记录的分数较低或分数相同,且名称按字母顺序不高。

<强>演示

SQL fiddle demo

答案 2 :(得分:0)

您需要添加的是按国家/地区划分的分区,它可以为您提供所需的内容。

SELECT
Country.name,
Participant.name,
Participant.points,
ROW_NUMBER() OVER(PARTITION BY country order by Country.name, Participant.points) as country_rank
from Country
join Team
  on Country.id = Team.country_id
join Participant
  on Team.id = Participant.team_id;
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