我有两个数据集。第1个android设置有10列,第二个ios设置有10列,其中6列相似,但其余的4个是不同的。在每个数据集中的那4列,一列与它们各自的OS有关我的意思是android和ios.Now我需要通过组合这两个表来创建一个hive视图,这样当我运行视图查询时,最终的聚合表应该看起来像这样
View_table:
os_7|1|2|3|4|5|6|8_android_different|9_and_dif|10_and_dif|8_ios_dif|9_ios_dif|10_ios_dif|
android All the android data from 1-6 should come here
ios All the ios data from 1-6 should come here
ios
android
android
这样可以通过将名为data的同一列包含在一个字段中来最小化列长度,并且其他不同的数据应该连接到列,如上所述。
答案 0 :(得分:1)
filterByTeam
<强>演示强>
create view os
as
select os
,common_1
,common_2
,common_3
,common_4
,common_5
,common_6
,android_1
,android_2
,android_3
,null as ios_1
,null as ios_2
,null as ios_3
from os_android
union all
select os
,common_1
,common_2
,common_3
,common_4
,common_5
,common_6
,null as android_1
,null as android_2
,null as android_3
,ios_1
,ios_2
,ios_3
from os_ios
create table os_android
(
os string
,common_1 string
,common_2 string
,common_3 string
,common_4 string
,common_5 string
,common_6 string
,android_1 string
,android_2 string
,android_3 string
);
create table os_ios
(
os string
,common_1 string
,common_2 string
,common_3 string
,common_4 string
,common_5 string
,common_6 string
,ios_1 string
,ios_2 string
,ios_3 string
)
;
create view os
as
select os
,common_1
,common_2
,common_3
,common_4
,common_5
,common_6
,android_1
,android_2
,android_3
,null as ios_1
,null as ios_2
,null as ios_3
from os_android
union all
select os
,common_1
,common_2
,common_3
,common_4
,common_5
,common_6
,null as android_1
,null as android_2
,null as android_3
,ios_1
,ios_2
,ios_3
from os_ios
;
insert into os_android values
('ANDROID_1','C1_1','C2_1','C3_1','C4_1','C5_1','C6_1','A1_1','A2_1','A3_1')
,('ANDROID_2','C1_2','C2_2','C3_2','C4_2','C5_2','C6_2','A1_2','A2_2','A3_2')
;
insert into os_ios values
('IOS_3','C1_3','C2_3','C3_3','C4_3','C5_3','C6_3','I1_3','I2_3','I3_3')
,('IOS_4','C1_4','C2_4','C3_4','C4_4','C5_4','C6_4','I1_4','I2_4','I3_4')
;
select * from os_android
;
+---------------+---------------------+---------------------+---------------------+---------------------+---------------------+---------------------+----------------------+----------------------+----------------------+
| os_android.os | os_android.common_1 | os_android.common_2 | os_android.common_3 | os_android.common_4 | os_android.common_5 | os_android.common_6 | os_android.android_1 | os_android.android_2 | os_android.android_3 |
+---------------+---------------------+---------------------+---------------------+---------------------+---------------------+---------------------+----------------------+----------------------+----------------------+
| ANDROID_1 | C1_1 | C2_1 | C3_1 | C4_1 | C5_1 | C6_1 | A1_1 | A2_1 | A3_1 |
| ANDROID_2 | C1_2 | C2_2 | C3_2 | C4_2 | C5_2 | C6_2 | A1_2 | A2_2 | A3_2 |
+---------------+---------------------+---------------------+---------------------+---------------------+---------------------+---------------------+----------------------+----------------------+----------------------+
select * from os_ios
;
+-----------+-----------------+-----------------+-----------------+-----------------+-----------------+-----------------+--------------+--------------+--------------+
| os_ios.os | os_ios.common_1 | os_ios.common_2 | os_ios.common_3 | os_ios.common_4 | os_ios.common_5 | os_ios.common_6 | os_ios.ios_1 | os_ios.ios_2 | os_ios.ios_3 |
+-----------+-----------------+-----------------+-----------------+-----------------+-----------------+-----------------+--------------+--------------+--------------+
| IOS_3 | C1_3 | C2_3 | C3_3 | C4_3 | C5_3 | C6_3 | I1_3 | I2_3 | I3_3 |
| IOS_4 | C1_4 | C2_4 | C3_4 | C4_4 | C5_4 | C6_4 | I1_4 | I2_4 | I3_4 |
+-----------+-----------------+-----------------+-----------------+-----------------+-----------------+-----------------+--------------+--------------+--------------+
select * from os
;