查找分区中最大的一组连续数字



我有以下按player_id和match_date排序的数据。我想找出连续运行次数最多的记录组(从2014-04-03到2014-04-12,连续3次运行4次(

 player_id  match_date  runs
    1       2014-04-01    5
    1       2014-04-02    55       
    1       2014-04-03    4       
    1       2014-04-10    4       
    1       2014-04-12    4       
    1       2014-04-14    3       
    1       2014-04-19    4       
    1       2014-04-20    44               
    2       2014-04-01    23
    2       2014-04-02    23       
    2       2014-04-03    23       
    2       2014-04-10    23       
    2       2014-04-12    4       
    2       2014-04-14    3       
    2       2014-04-19    23       
    2       2014-04-20    1   

我提出了以下SQL:

select *,row_number() over (partition by ranked.player_id,ranked.runs
order by ranked.match_date) as R from (
select player_id ,match_date,runs from players order by 1,2 desc )
ranked order by ranked.player_id, match_date asc

但这延续了前几次连续运行的排名(2014-04-19,玩家1的4次运行预计将获得排名1,但由于同一分区已经出现了3次,因此获得排名4(。同样,2014-04-19赛季第2名球员的23分预计将排名第一,但排名第5,因为该球员已经出现了4次23分。

当运行次数的值从前一行更改时,我如何将秩重置回1?

架构、数据、SQL和输出可在SQLFiddle上获得。

您可以使用窗口函数来完成此操作。

select player_id, runs, count(*) as numruns
from (select p.*,
             (row_number() over (partition by player_id order by match_date) -
              row_number() over (partition by player_id, runs order by match_date)
             ) as grp
      from players p
     ) pg
group by grp, player_id, runs
order by numruns desc
limit 1;

关键的观察结果是,"按顺序跑步"具有以下特性:如果你按日期枚举(每个球员的(行,并按日期枚举每个球员的行和跑步次数,那么当跑步次数相同且按顺序时,差异是恒定的。这形成了一个组,您可以使用该组进行聚合来识别您想要的玩家。

这是SQL Fiddle。

select p1.player_id, p1.match_date, p1.runs, count(p2.match_date) from players p1
join players p2 on p1.player_id = p2.player_id
    and p1.match_date >= p2.match_date
    and p1.runs = p2.runs
    and not exists (
        select 1 from players p3
        where p3.runs <> p2.runs
        and p3.player_id = p2.player_id
        and p3.match_date < p1.match_date
        and p3.match_date > p2.match_date
    )
group by p1.player_id, p1.match_date, p1.runs
order by p1.player_id, p1.match_date

http://sqlfiddle.com/#!15/78a77/1

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