我如何修改我的 SQL 声明，以便每个项目都有 (x) 名评委，并且每个评委在他们的人口中平均参与？

Question

问题

如何修改我的 SQL 声明，使每个项目有 4 名独特的评委，并且每个评委平均评判分配给他们的部门和类别的相同数量的项目？

要求

Population Project 需要Population Judge 审核(x) 次。 x = 4

每个项目都按部门和类别分组。
每位评委按部门和类别分组。
每个项目必须由 (x) 位独特的评委审核。
每位评委不得对同一个项目进行两次评审。
每位评委都应分配到与其所在部门和类别分组中的其他评委相同数量的项目进行评审。

样本源判断Table

create table judges(judge_id, division, category) as (
    select 68, 'Elementary', 'ANY' from dual union all
    select 19, 'Elementary', 'ANY' from dual union all
    select 22, 'Elementary', 'ANY' from dual union all
    select 32, 'Elementary', 'ANY' from dual union all
    select 33, 'Elementary', 'ANY' from dual union all
    select 37, 'Elementary', 'ANY' from dual union all
    select 38, 'Elementary', 'ANY' from dual union all
    select 40, 'Elementary', 'ANY' from dual union all
    select 47, 'Elementary', 'ANY' from dual union all
    select 62, 'Elementary', 'ANY' from dual union all
    select 63, 'Elementary', 'ANY' from dual union all
    select 13, 'Elementary', 'ANY' from dual union all
    select 36, 'Elementary', 'ANY' from dual union all
    select 55, 'Elementary', 'ANY' from dual union all
    select 59, 'Elementary', 'ANY' from dual union all
    select 60, 'Elementary', 'ANY' from dual union all
    select 9, 'Junior', 'EC' from dual union all
    select 10, 'Junior', 'EC' from dual union all
    select 48, 'Junior', 'EC' from dual union all
    select 11, 'Junior', 'LS' from dual union all
    select 21, 'Junior', 'LS' from dual union all
    select 23, 'Junior', 'LS' from dual union all
    select 26, 'Junior', 'LS' from dual union all
    select 31, 'Junior', 'LS' from dual union all
    select 80, 'Junior', 'LS' from dual union all
    select 14, 'Junior', 'PE' from dual union all
    select 15, 'Junior', 'PE' from dual union all
    select 24, 'Junior', 'PE' from dual union all
    select 29, 'Junior', 'PE' from dual union all
    select 30, 'Junior', 'PE' from dual union all
    select 43, 'Junior', 'PE' from dual union all
    select 53, 'Junior', 'PE' from dual union all
    select 56, 'Junior', 'PE' from dual union all
    select 57, 'Junior', 'PE' from dual union all
    select 58, 'Junior', 'PE' from dual union all
    select 65, 'Junior', 'PE' from dual union all
    select 67, 'Junior', 'PE' from dual union all
    select 69, 'Junior', 'PE' from dual union all
    select 8, 'Senior', 'ANY' from dual union all
    select 18, 'Senior', 'ANY' from dual union all
    select 20, 'Senior', 'ANY' from dual union all
    select 35, 'Senior', 'ANY' from dual union all
    select 66, 'Senior', 'ANY' from dual union all
    select 39, 'Senior', 'ANY' from dual union all
    select 70, 'Senior', 'ANY' from dual union all
    select 71, 'Senior', 'ANY' from dual union all
    select 74, 'Senior', 'ANY' from dual union all
    select 6, 'Senior', 'ANY' from dual union all
    select 44, 'Senior', 'ANY' from dual union all
    select 45, 'Senior', 'ANY' from dual union all
    select 49, 'Senior', 'ANY' from dual union all
    select 61, 'Senior', 'ANY' from dual union all
    select 64, 'Senior', 'ANY' from dual union all
    select 72, 'Senior', 'ANY' from dual union all
    select 75, 'Senior', 'ANY' from dual union all
    select 79, 'Senior', 'ANY' from dual union all
    select 82, 'Senior', 'ANY' from dual
);

示例源项目Table

create table projects(project_id, division, category) as (
     select 39, 'Elementary', 'ANY' from dual union all
    select 40, 'Elementary', 'ANY' from dual union all
    select 47, 'Elementary', 'ANY' from dual union all
    select 48, 'Elementary', 'ANY' from dual union all
    select 56, 'Elementary', 'ANY' from dual union all
    select 57, 'Elementary', 'ANY' from dual union all
    select 58, 'Elementary', 'ANY' from dual union all
    select 60, 'Elementary', 'ANY' from dual union all
    select 65, 'Elementary', 'ANY' from dual union all
    select 66, 'Elementary', 'ANY' from dual union all
    select 93, 'Elementary', 'ANY' from dual union all
    select 94, 'Elementary', 'ANY' from dual union all
    select 97, 'Elementary', 'ANY' from dual union all
    select 104, 'Elementary', 'ANY' from dual union all
    select 105, 'Elementary', 'ANY' from dual union all
    select 107, 'Elementary', 'ANY' from dual union all
    select 110, 'Elementary', 'ANY' from dual union all
    select 112, 'Elementary', 'ANY' from dual union all
    select 114, 'Elementary', 'ANY' from dual union all
    select 117, 'Elementary', 'ANY' from dual union all
    select 120, 'Elementary', 'ANY' from dual union all
    select 121, 'Elementary', 'ANY' from dual union all
    select 123, 'Elementary', 'ANY' from dual union all
    select 124, 'Elementary', 'ANY' from dual union all
    select 126, 'Elementary', 'ANY' from dual union all
    select 127, 'Elementary', 'ANY' from dual union all
    select 128, 'Elementary', 'ANY' from dual union all
    select 133, 'Elementary', 'ANY' from dual union all
    select 134, 'Elementary', 'ANY' from dual union all
    select 136, 'Elementary', 'ANY' from dual union all
    select 140, 'Elementary', 'ANY' from dual union all
    select 142, 'Elementary', 'ANY' from dual union all
    select 152, 'Elementary', 'ANY' from dual union all
    select 153, 'Elementary', 'ANY' from dual union all
    select 162, 'Elementary', 'ANY' from dual union all
    select 167, 'Elementary', 'ANY' from dual union all
    select 173, 'Elementary', 'ANY' from dual union all
    select 174, 'Elementary', 'ANY' from dual union all
    select 188, 'Elementary', 'ANY' from dual union all
    select 27, 'Junior', 'EC' from dual union all
    select 67, 'Junior', 'EC' from dual union all
    select 82, 'Junior', 'EC' from dual union all
    select 83, 'Junior', 'EC' from dual union all
    select 99, 'Junior', 'EC' from dual union all
    select 113, 'Junior', 'EC' from dual union all
    select 115, 'Junior', 'EC' from dual union all
    select 149, 'Junior', 'EC' from dual union all
    select 164, 'Junior', 'EC' from dual union all
    select 169, 'Junior', 'EC' from dual union all
    select 185, 'Junior', 'EC' from dual union all
    select 189, 'Junior', 'EC' from dual union all
    select 18, 'Junior', 'LS' from dual union all
    select 19, 'Junior', 'LS' from dual union all
    select 20, 'Junior', 'LS' from dual union all
    select 21, 'Junior', 'LS' from dual union all
    select 23, 'Junior', 'LS' from dual union all
    select 24, 'Junior', 'LS' from dual union all
    select 26, 'Junior', 'LS' from dual union all
    select 28, 'Junior', 'LS' from dual union all
    select 29, 'Junior', 'LS' from dual union all
    select 30, 'Junior', 'LS' from dual union all
    select 78, 'Junior', 'LS' from dual union all
    select 80, 'Junior', 'LS' from dual union all
    select 90, 'Junior', 'LS' from dual union all
    select 91, 'Junior', 'LS' from dual union all
    select 106, 'Junior', 'LS' from dual union all
    select 144, 'Junior', 'LS' from dual union all
    select 150, 'Junior', 'LS' from dual union all
    select 151, 'Junior', 'LS' from dual union all
    select 156, 'Junior', 'LS' from dual union all
    select 157, 'Junior', 'LS' from dual union all
    select 159, 'Junior', 'LS' from dual union all
    select 161, 'Junior', 'LS' from dual union all
    select 165, 'Junior', 'LS' from dual union all
    select 166, 'Junior', 'LS' from dual union all
    select 168, 'Junior', 'LS' from dual union all
    select 178, 'Junior', 'LS' from dual union all
    select 180, 'Junior', 'LS' from dual union all
    select 187, 'Junior', 'LS' from dual union all
    select 22, 'Junior', 'PE' from dual union all
    select 59, 'Junior', 'PE' from dual union all
    select 61, 'Junior', 'PE' from dual union all
    select 74, 'Junior', 'PE' from dual union all
    select 81, 'Junior', 'PE' from dual union all
    select 95, 'Junior', 'PE' from dual union all
    select 96, 'Junior', 'PE' from dual union all
    select 116, 'Junior', 'PE' from dual union all
    select 145, 'Junior', 'PE' from dual union all
    select 148, 'Junior', 'PE' from dual union all
    select 158, 'Junior', 'PE' from dual union all
    select 160, 'Junior', 'PE' from dual union all
    select 172, 'Junior', 'PE' from dual union all
    select 176, 'Junior', 'PE' from dual union all
    select 181, 'Junior', 'PE' from dual union all
    select 186, 'Junior', 'PE' from dual union all
    select 14, 'Senior', 'ANY' from dual union all
    select 15, 'Senior', 'ANY' from dual union all
    select 42, 'Senior', 'ANY' from dual union all
    select 43, 'Senior', 'ANY' from dual union all
    select 44, 'Senior', 'ANY' from dual union all
    select 45, 'Senior', 'ANY' from dual union all
    select 46, 'Senior', 'ANY' from dual union all
    select 49, 'Senior', 'ANY' from dual union all
    select 51, 'Senior', 'ANY' from dual union all
    select 52, 'Senior', 'ANY' from dual union all
    select 53, 'Senior', 'ANY' from dual union all
    select 54, 'Senior', 'ANY' from dual union all
    select 75, 'Senior', 'ANY' from dual union all
    select 76, 'Senior', 'ANY' from dual union all
    select 77, 'Senior', 'ANY' from dual union all
    select 92, 'Senior', 'ANY' from dual union all
    select 108, 'Senior', 'ANY' from dual union all
    select 118, 'Senior', 'ANY' from dual union all
    select 119, 'Senior', 'ANY' from dual union all
    select 125, 'Senior', 'ANY' from dual union all
    select 131, 'Senior', 'ANY' from dual union all
    select 132, 'Senior', 'ANY' from dual union all
    select 135, 'Senior', 'ANY' from dual union all
    select 137, 'Senior', 'ANY' from dual union all
    select 138, 'Senior', 'ANY' from dual union all
    select 139, 'Senior', 'ANY' from dual union all
    select 141, 'Senior', 'ANY' from dual union all
    select 143, 'Senior', 'ANY' from dual union all
    select 146, 'Senior', 'ANY' from dual union all
    select 154, 'Senior', 'ANY' from dual union all
    select 171, 'Senior', 'ANY' from dual
);

甲骨文SQL代码

select 
     project_id
    ,division
    ,category
    ,judge_id
    ,best_match
from(
    select 
         project.project_id
        ,project.division
        ,project.category
        ,judge.judge_id
        ,row_number() over(
            partition by project.project_id 
            order by dbms_random.value
        ) as best_match
    from frsf_fair.project_division_category project
    left join (
        select 
            judge_id
            ,division
            ,category
            ,row_number() over(
                partition by division 
                order by dbms_random.value
            ) as r
        from frsf_fair.judge_division_category
        ) judge on project.division = judge.division 
            and project.category = judge.category   
) assignment
where best_match <= 4

数据输出示例

PROJECT_ID  DIVISION    CATEGORY    JUDGE_ID    BEST_MATCH
14  Senior  ANY 72  1
14  Senior  ANY 74  2
14  Senior  ANY 20  3
14  Senior  ANY 44  4

15  Senior  ANY 79  1
15  Senior  ANY 39  2
15  Senior  ANY 75  3
15  Senior  ANY 20  4

18  Junior  LS  23  1
18  Junior  LS  31  2
18  Junior  LS  26  3
18  Junior  LS  21  4

问题

count(*)/projects 的数量应该平均分配给裁判组的 Division 和 Category。相反，一些法官被分配到 20 个项目，而其他人被分配到很少的项目。我不知道如何修改我的查询，因此每个评委必须在项目部门和类别分组中引用相同次数。我要确保平等参与。

JUDGE_ID    COUNT(*)
64  8
72  16
23  20
57  4
14  4
6   4
58  9

Answer 1

我能做的最好的就是这个查询：

with 
  t as (select judge_id jid, project_id pid, category cat, division div, 
               dense_rank() over (order by project_id) rp,
               dense_rank() over (order by judge_id) rj,
               count(1) over (partition by project_id) cnt
          from judges join projects using (division, category)),
  c(pid, jid, cat, div, rn, rp) as (
    select pid, jid, cat, div, 1, rp from t where mod(rp, cnt) = mod(rj, cnt)
    union all
    select c.pid, t.jid, c.cat, c.div, rn + 1, c.rp
      from c join t on c.rp = t.rp and c.jid <> t.jid 
                   and mod(t.rp, t.cnt) = mod(t.rj + c.rn, t.cnt) 
      where rn < 3)
select * from c

它有什么作用？首先使用添加的行号和计数（rp、rj、cnt）进行基本连接。然后 mod() 使用这些列来连接锚查询 where mod(rp, cnt) = mod(rj, cnt) 中的行。然后是递归部分，只为每个项目添加所需数量的评委。也许有人不用递归就可以做到，但我做不到。您可以通过将随机 ids 分配给判断并在查询中使用它们而不是真正的 ids 来稍微随机化输出。将 3 替换为所需的评论数。

此 dbfiddle 显示 5 个项目、5 个评委、每个项目 3 个评论。评委不重复，均分。

编辑： 这是更正的基本查询：

with t as ( 
    select category, division, project_id, judge_id,
           dense_rank() over (partition by category, division 
                              order by project_id) rp,
           dense_rank() over (partition by category, division, project_id 
                              order by judge_id) rj,
           count(1) over (partition by project_id) cnt
      from projects join judges using (category, division) ) 
select * from t
  join (select level lvl from dual connect by level <= 3) 
    on mod(rj, cnt) =  mod((rp -1) * 3 + lvl, cnt)

我检查了项目的结果（按 project_id 分组），每个项目都有 3 位不同的评委。我检查了法官的结果（按类别、部门分组，judge_id），他的 class 中的每个法官都有相同数量的案件（如果没有足够的项目进行平均分配，则相差一个）。

逻辑与我的第一个查询相同。正如我所说，您可以先随机分配评委：

select row_number() over (order by dbms_random.value) rnd_jdg_id, judges.* from judges

并在主查询中使用这个假 ID 作为输入以获得完全随机分配。

Answer 2

我想到了一个利用我的 Oracle 数据库中的过程的解决方案。

我的方法是遍历每个项目 ID。在我的循环中，它会将 1 循环到我需要的分配数量，在本例中为 4。

我们需要从法官列表中抽取一个随机法官 ID，方法是按升序计算他们已经分配了多少任务。我想先用最少的赋值。
他们的分配数如果增加+1
我们更新最终列表中的值table

我们循环直到给出项目分配的数量，然后评估下一个项目。

创建或替换过程 random_judge_project_list 为

assign_count    number := 0;
next_count      number := 1;

assignments     number := 4;
jid             number;
sql_stmt         varchar2(4000);

location varchar2(20);

开始

execute immediate 'truncate table judge_project_list';
execute immediate 'update judge_assignment_count set assignment_count = 0';

/*We First Need to Loop through Each Project*/
for project in (
    select 
        project_id
        ,division
        ,category as source_category
        ,case division 
            when 'Junior' then category
            else 'ANY'
        end as category      
    from projects a
    order by division asc, category asc
)
loop
    /*While Looping we then need to assign judges randomly*/   
    for assign in 1 .. assignments
    loop

            select judge_id
            into jid
            from(
                select *
                from judge_assignment_count
                where division = project.division
                    and judge_id not in (select judge_id from judge_project_list where project_id = project.project_id)
                order by assignment_count asc, dbms_random.random asc
            ) where rownum = 1
        ;

        select assignment_count
        into assign_count
        from judge_assignment_count
        where judge_id = jid 
        and rownum = 1
        ;

        next_count := assign_count + 1;

        --dbms_output.put_line(sql_stmt);

        --execute immediate sql_stmt into jid;

        insert into judge_project_list (project_id, judge_id, division, category) values (project.project_id, jid, project.division, project.category);

        execute immediate 'update judge_assignment_count set assignment_count = ' || next_count || ' where judge_id = ' || jid;



    end loop;

end loop;

commit;

结束；

我如何修改我的 SQL 声明，以便每个项目都有 (x) 名评委，并且每个评委在他们的人口中平均参与？

How do I modify my SQL Statement so each Project has (x) Judges and each Judge participates evenly among their population?

sql

oracle

distribution

population

问题

要求

样本源判断Table

示例源项目Table

甲骨文SQL代码

数据输出示例

问题