Sql 数据透视并将单列放入具有关联行的多列
我在Amazon Redshift(PostgreSQL)中有如下数据:Sql 数据透视并将单列放入具有关联行的多列,sql,postgresql,group-by,pivot,amazon-redshift,Sql,Postgresql,Group By,Pivot,Amazon Redshift,我在Amazon Redshift(PostgreSQL)中有如下数据: acct | id_cd | username acc1 |123 | kchalm acc1 |123 | rsmith acc1 |123 | ehamon acc1 |123 | ljenin acc2 |234 | kchalm acc2 |234 | rtheis acc3 |3
acct | id_cd | username
acc1 |123 | kchalm
acc1 |123 | rsmith
acc1 |123 | ehamon
acc1 |123 | ljenin
acc2 |234 | kchalm
acc2 |234 | rtheis
acc3 |345 | jbalvi
acc3 |345 | twoods
acc3 |345 | jli
acc4 |345 | rshant
我需要它看起来像这样
acct | id_cd |username1|username2|username3
acc1 |123 | kchalm | rsmith | ehamon
acc1 |123 | ljenin | |
acc2 |234 | kchalm | rtheis |
acc3 |345 | jbalvi | twoods | jli
acc4 |345 | rshant | |
我试着做了以下几件事,取得了一些成功。为了创建我的3个用户名列,我使用带有WHERE条件的联接多次从视图中提取数据。然而,我忍不住觉得有一种比我现在这样做更好的方法来自动化这个过程。有什么建议吗
SELECT
ut.acct,
ut.id_code,
ut.username,
ROW_NUMBER() OVER(PARTITION BY ut.account_code
ORDER BY
ut.username DESC) AS row_num
FROM
orig_user_table ut ;
select
a.acct
,a.id_cd
,a.username1
,b.username2
FROM
(
SELECT
acct,
id_cd,
username AS username1
FROM
vw_user_table_nums
WHERE
row_num = 1) a
LEFT JOIN (
SELECT
acct,
username AS username2
FROM
vw_user_table_nums
WHERE
row_num = 2) b ON
a.acct = b.acct
...
从现有子查询开始,有一种方法使用条件聚合而不是联接:
select
acct,
id_code,
max(case when rn = 1 then username end) username1,
max(case when rn = 2 then username end) username2,
max(case when rn = 3 then username end) username3
from (
select
ut.*,
row_number() over(partition by ut.account_code order by ut.username desc) as rn
from orig_user_table ut
) t
group by acct, id_code
order by acct, id_code;