Arrays 如何在配置单元中将多个列值转换为行？

代码：

错误：

失败：语义异常[错误10011]：无效的函数数组\u索引

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在这里，我在单个列中有多个值，我需要将其转换为前面提到的行输出。

Explode是hive中提供的UDTF，您可以使用它将数据从列拆分为行

select ID,
array_index( COLUMN1_arr, n ) as COLUMN1,
array_index( COLUMN2_arr, n ) as COLUMN2
from sample
lateral view numeric_range(size(COLUMN1_arr)) n1 as n;

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Explode是配置单元中提供的UDTF，您可以使用它将数据从列拆分为行

select ID,
array_index( COLUMN1_arr, n ) as COLUMN1,
array_index( COLUMN2_arr, n ) as COLUMN2
from sample
lateral view numeric_range(size(COLUMN1_arr)) n1 as n;

---

纯香草蜂箱溶液，不含砖砌UDF

演示：

结果:

with 

input as ( ---------------Input dataset
select stack(2,
1, array('M','S','E','T'), array(1,2,3,4),     array(5,6,7),
2, array('A','B','C'),     array(6,5,8,7,9,1), array( 2,4,3,0,1) 
) as (ID,COLUMN1,COLUMN2,COLUMN3)
),

--explode each array and FULL join them
c1 as (
select i.id, v.column1, p
  from input i
       lateral view posexplode(i.COLUMN1) v as p,column1
),

c2 as (
select i.id, v.column2, p
  from input i
       lateral view posexplode(i.COLUMN2) v as p,column2
),

c3 as (
select i.id, v.column3, p
  from input i
       lateral view posexplode(i.COLUMN3) v as p,column3
)

--FULL JOIN
select coalesce(c1.id,c2.id,c3.id) id, c1.column1, c2.column2, c3.column3
  from c1 
       full join c2 on c1.id=c2.id and c1.p=c2.p
       full join c3 on nvl(c1.id,c2.id)=c3.id and nvl(c1.p,c2.p)=c3.p --note NVL usage
;   

---

纯香草蜂箱溶液，不含砖砌UDF

演示：

结果:

with 

input as ( ---------------Input dataset
select stack(2,
1, array('M','S','E','T'), array(1,2,3,4),     array(5,6,7),
2, array('A','B','C'),     array(6,5,8,7,9,1), array( 2,4,3,0,1) 
) as (ID,COLUMN1,COLUMN2,COLUMN3)
),

--explode each array and FULL join them
c1 as (
select i.id, v.column1, p
  from input i
       lateral view posexplode(i.COLUMN1) v as p,column1
),

c2 as (
select i.id, v.column2, p
  from input i
       lateral view posexplode(i.COLUMN2) v as p,column2
),

c3 as (
select i.id, v.column3, p
  from input i
       lateral view posexplode(i.COLUMN3) v as p,column3
)

--FULL JOIN
select coalesce(c1.id,c2.id,c3.id) id, c1.column1, c2.column2, c3.column3
  from c1 
       full join c2 on c1.id=c2.id and c1.p=c2.p
       full join c3 on nvl(c1.id,c2.id)=c3.id and nvl(c1.p,c2.p)=c3.p --note NVL usage
;   

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你曾经测试过这样的查询吗？在这种情况下，多个侧面视图将生成笛卡尔产品。您是否测试过这种查询？在这种情况下，多个侧视图将产生笛卡尔积

OK
id      column1 column2 column3
1       M       1       5
1       S       2       6
1       E       3       7
1       T       4       NULL
2       A       6       2
2       B       5       4
2       C       8       3
2       NULL    7       0
2       NULL    9       1
2       NULL    1       NULL