hive 求最大最小值均值及对应的一个key键(对应行)

hive 求最大最小均值就不多说了。
此次在业务上碰到一个问题，是要求最大值、最小值、平均值的同时，还要求最大值、最小值对应行的key字段（以找到对应时间）。并且key中的时间戳还是0时区，在查询时要注意对时区进行转换。
表结构大致如下：
key double
id+时间 对应的double数值
方法一：join (最常见)
比如取最小值和最小值所在行对应的key：

select *
from 
(
    select min(d) as min
     from
        (
           select key,d
   from default.test_202006
  where key>=50104160000000 and key<50104240000000
  union all
 select key,d
   from default.test_202006
  where key>=50105000000000 and key<50105160000000
        )
)t1
left join
(
    select key,d 
    from
    (
      select key,d
   from default.test_202006
  where key>=50104160000000 and key<50104240000000
  union all
 select key,d
   from default.test_202006
  where key>=50105000000000 and key<50105160000000
     )   
)t2 
    on t1.min=t2.d

这样要达到目的，min +1 join， max +1 join, + avg

方法二：
select * from table where double in (select min(double) from table)

    select * 
    from
    (
         select *
   from default.test_202006
  where key>=50104160000000 and key<50104240000000
  union all
 select * 
   from default.test_202006
  where key>=50105000000000 and key<50105160000000
     ) where d in ( select min(d) as min
     from
        (
          select *
   from default.test_202006
  where key>=50104160000000 and key<50104240000000
  union all
 select * 
   from default.test_202006
  where key>=50105000000000 and key<50105160000000
        ))

方法三： row_number()

下面的语句取最大最小值：

select tt1.d as min, tt1.key as minkey, tt2.d as max, tt2.key as maxkey from
(
select * 
  from
     (
        select row_number() over(partition by s order by d) as ord, key, d
          from
             (
                select *
   from default.test_202006
  where key>=50104160000000 and key<50104240000000
  union all
 select * 
   from default.test_202006
  where key>=50105000000000 and key<50105160000000
              )
     )t1 where t1.ord=1
)tt1,
(
select * 
  from
    (
        select row_number() over(partition by s order by d desc) as ord, key, d
        from
            (
                select *
   from default.test_202006
  where key>=50104160000000 and key<50104240000000
  union all
 select * 
   from default.test_202006
  where key>=50105000000000 and key<50105160000000
            )
    )t2 where t2.ord=1
)tt2

方法四：在某同学建议下搞的骚操作

row_number两次，一次正序一次倒序。取出来再用collect处理。这个效率在测试中是最快的。最后业务上也是采用了这个方式，比其他同学join的处理快出20+s。

select t3.d[0] as min, t3.key[0] as minkey, t3.d[1] as max, t3.key[1] as maxkey, t4.avg
from
(
select collect_set(key) as key, collect_set(d) as d
  from
    (
        select '999' as num,
               row_number() over(partition by s order by d ) as ord1,
               row_number() over(partition by i order by d desc) as ord2, 
               key, d
        from
            (
                 select *
                   from default.test_202006
                  where key>=50104160000000 and key<50104240000000
                  union all
                 select * 
                   from default.test_202006
                  where key>=50105000000000 and key<50105160000000
            )
    )t2  where t2.ord1=1 or t2.ord2=1 group by num
    )t3,
(
select avg(d) as avg
        from
            (
                 select *
                   from default.test_202006
                  where key>=50104160000000 and key<50104240000000
                  union all
                 select * 
                   from default.test_202006
                  where key>=50105000000000 and key<50105160000000
            )
)t4

以上方法分组也都适用。另外还有开窗函数配合FIRST_VALUE()，LAST_VALUE() 也可以尝试。