从Hive中的多个表中选择增量数据

时间:2017-07-26 12:23:48

标签: sql apache hadoop hive apache-spark-sql

我在Hive数据库中有五个表(A,B,C,D,E),我必须根据列#34; id"上的逻辑来合并这些表中的数据。

条件是:

Select * from A
UNION 
select * from B (except  ids not in A)
UNION 
select * from C (except ids not in A and B)
UNION 
select * from D(except ids not in A,B and C)
UNION 
select * from E(except ids not in A,B,C and D)

必须将此数据插入决赛桌。

一种方法是创建目标表(目标)并为每个UNION阶段附加数据,然后使用此表与其他UNION阶段连接。

这将是我的.hql文件的一部分:

insert into target 
(select * from A
UNION 
select B.* from 
A 
RIGHT OUTER JOIN B
on A.id=B.id
where ISNULL(A.id));

INSERT INTO target
select C.* from 
target 
RIGHT outer JOIN C
ON target.id=C.id
where ISNULL(target.id);

INSERT INTO target
select D.* from 
target 
RIGHT OUTER JOIN D
ON target.id=D.id
where ISNULL(target.id);

INSERT INTO target
select E.* from 
target 
RIGHT OUTER JOIN E
ON target.id=E.id
where ISNULL(target.id);

有没有更好的方法来实现这一目标?我认为无论如何我们必须这样做 多个连接/查找。我期待着实现这一目标的最佳方法  在

1)用Tez Hive

2)Spark-sql

非常感谢提前

2 个答案:

答案 0 :(得分:1)

如果id在每个表格中都是唯一的,则可以使用row_number代替rank

select      *

from       (select      *
                       ,rank () over
                        (
                            partition by    id
                            order by        src
                        )                           as rnk

            from        (           
                                    select 1 as src,* from a
                        union all   select 2 as src,* from b
                        union all   select 3 as src,* from c
                        union all   select 4 as src,* from d
                        union all   select 5 as src,* from e
                        ) t
            ) t

where       rnk = 1
;

答案 1 :(得分:0)

我想我会尝试这样做:

with ids as (
      select id, min(which) as which
      from (select id, 1 as which from a union all
            select id, 2 as which from b union all
            select id, 3 as which from c union all
            select id, 4 as which from d union all
            select id, 5 as which from e
           ) x
     )
select a.*
from a join ids on a.id = ids.id and ids.which = 1
union all
select b.*
from b join ids on b.id = ids.id and ids.which = 2
union all
select c.*
from c join ids on c.id = ids.id and ids.which = 3
union all
select d.*
from d join ids on d.id = ids.id and ids.which = 4
union all
select e.*
from e join ids on e.id = ids.id and ids.which = 5;