如何在AWS Athena中将行透视成列? [英] How to pivot rows into columns in AWS Athena?

问题描述

我是AWS Athena的新手，它尝试将一些行转换为列，类似于此

I'm new to AWS Athena and trying to pivot some rows into columns, similar to the top answer in this StackOverflow post.

但是，当我尝试时:

SELECT column1, column2, column3
FROM data
PIVOT
(
  MIN(column3)
  FOR column2 IN ('VALUE1','VALUE2','VALUE3','VALUE4')
)

我收到错误消息:输入'('期望{'，'，')'}(}(服务:amazonathena；状态代码:400；错误代码:invalidrequestexception

有人知道如何完成我要在AWS Athena中实现的目标吗?

Does anyone know how to accomplish what I am trying to achieve in AWS Athena?

推荐答案

扩展@kadrach的答案.假设这样的表

Extending @kadrach 's answer. Assuming a table like this

uid | key | value1 | value2
----+-----+--------+--------
 1  |  A  |  10    | 1000
 1  |  B  |  20    | 2000
 2  |  A  |  11    | 1001
 2  |  B  |  21    | 2001

单列PIVOT的工作原理如下

Single column PIVOT works like this

SELECT
  uid,
  kv1['A'] AS A_v1,
  kv1['B'] AS B_v1
FROM (
  SELECT uid, map_agg(key, value1) kv1
  FROM vtable
  GROUP BY uid
) 

结果:

uid | A_v1 | B_v1 
----+------+-------
 1  |  10  |  20   
 2  |  11  |  21  

多列PIVOT的工作原理如下

Multi column PIVOT works like this

SELECT
  uid,
  kv1['A'] AS A_v1,
  kv1['B'] AS B_v1,
  kv2['A'] AS A_v2,
  kv2['B'] AS B_v2
FROM (
  SELECT uid,
      map_agg(key, value1) kv1,
      map_agg(key, value2) kv2
  FROM vtable
  GROUP BY uid
) 

结果:

uid | A_v1 | B_v1 | A_v2 | B_v2 
----+------+------+------+-----
 1  |  10  |  20  | 1000 | 2000
 2  |  11  |  21  | 1001 | 2001

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