Hive - 配置单元中的Unpivot功能 [英] Hive - Unpivot functionality in hive
问题描述
我有两张表如下:
表A
userid |代码| code_name | property_id
0001 | 1 | apple_id | Y1234
0031 | 4 | mango_id | G4567
0008 | 3 | grape_id | H1209
00013 | 2 | peach_id | Z5643
表2
apple_id | mango_id | grape_id | peach_id | new_id
Y1234 | R1890 | | | N456098
| G4567 | | B3490 | N002345
T3336 | | H1209 | F3467 | N129087
| D7865 | J6543 | Z5643 | N109876
预期结果表
userid | new_id
0001 | N456098
0031 | N002345
0008 | N129087
00013 | N109876
使用表A中的code_name,我想查找Table A中的各自的property_id B.基本上匹配表B中的列名称。目的是获得相应的new_id。苹果,芒果,葡萄和桃子ID可以是相同的。但是,new_id值将是唯一的。
这可能在Hive中吗? Hive中似乎没有任何unpivot / pivot功能。
任何帮助都会非常棒。感谢!
无论何时我想在Hive中旋转表,我都会收集 key:value
与地图配对,然后引用下一级中的每个键,创建新列。这与此相反。
查询:
<从$ b $选择a.userid,y.new_id
从(
)中选择new_id,fruit_name,fruit_code $ b $ select new_id,map(apple_id,apple_id
,mango_id,mango_id
,grape_id,grape_id
,peach_id,peach_id)作为fruit_map
from table_2)x
横向视图爆炸(fruit_map)作为fruit_name,fruit_code的exptbl1)y
连接table_A a
on(y.fruit_code = a.property_id)
输出:
0001 N456098
0031 N002345
0008 N129087
00013 N109876
I have two table as follows:
Table A
userid | code | code_name | property_id
0001 | 1 | apple_id | Y1234
0031 | 4 | mango_id | G4567
0008 | 3 | grape_id | H1209
00013 | 2 | peach_id | Z5643
Table 2
apple_id | mango_id | grape_id | peach_id | new_id
Y1234 | R1890 | | | N456098
| G4567 | | B3490 | N002345
T3336 | | H1209 | F3467 | N129087
| D7865 | J6543 | Z5643 | N109876
Desired Resultant table
userid | new_id
0001 | N456098
0031 | N002345
0008 | N129087
00013 | N109876
Using the code_name in Table A, I would like to find the respective property_id from Table A in Table B. Basically, match on the column name in Table B. The aim is to get the corresponding new_id.
Apple, mango, grape and peach ids can be the same. However, new_id values will be unique.
Is this possible in Hive? There does not seem to be any unpivot/pivot functionality in Hive.
Any help would be really great. Thanks!
Whenever I want to pivot a table in Hive, I collect key:value
pairs to a map and then reference each key in the next level, creating new columns. This is the opposite of that.
Query:
select a.userid, y.new_id
from (
select new_id, fruit_name, fruit_code
from (
select new_id, map("apple_id", apple_id
, "mango_id", mango_id
, "grape_id", grape_id
, "peach_id", peach_id) as fruit_map
from table_2 ) x
lateral view explode(fruit_map) exptbl1 as fruit_name, fruit_code ) y
join table_A a
on (y.fruit_code=a.property_id)
Output:
0001 N456098
0031 N002345
0008 N129087
00013 N109876
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