跟进这件事
问题
,我编写了以下脚本:
select
OBSERVATION_DATE,
name_col,
md5(
md5(
concat_ws(
'',
val_col,
DATE(OBSERVATION_DATE, 'DD/MM/YYYY'),
'CAMP',
CAMPNO
)
)
),
current_timestamp(),
NULL,
'ONA',
val_col,
md5(
concat_ws(
'',
'name_col',
DATE(OBSERVATION_DATE, 'DD/MM/YYYY'),
'CAMP',
CAMPNO
)
)
from
(
select
T.*
FROM
TEMP_TABLE_NAME T
) unpivot (val_col for name_col in (FACILITY_ID, CAMPNO));
它将帮助我转置一个临时表,以便将所有相关字段添加到另一个表中,其中每个
对表示一行。
我从这个查询中得到的错误是:
SQL编译错误:位置77处的错误行2标识符'CAMPNO‘无效
我认为这可能是因为campNo是一个数字,所有字段都应该强制转换为
,所以我尝试了这个查询:
选择cast(campno as varchar) as CAMPNO FROM TEMP
_
表格
_
名称;
它起作用了,但在第二秒内
语句我收到一个错误:
并得到一个错误:
SQL编译错误:列名'CAMPNO‘不明确
我需要对里面的所有字段进行强制转换
到varchar中。
发布于 2021-03-02 02:00:44
出现此错误的原因是,一旦取消透视,就没有名为
..。您取消了将该列转换为行的操作:
设置示例
create or replace transient table source_table
(
id number,
observation_date varchar,
facility_id varchar,
campno number
);
insert overwrite into source_table
values (1, '01/01/2020', 2, 23),
(2, '02/01/2020', 3, 44),
(3, '03/01/2020', 1, 123),
(4, '04/01/2020', 1, 2233)
;
如果你做一个
在这个源表中,您有一个名为
和
select st.* from source_table st;
-- Resulting table:
-- +--+----------------+-----------+------+
-- |ID|OBSERVATION_DATE|FACILITY_ID|CAMPNO|
-- +--+----------------+-----------+------+
-- |1 |01/01/2020 |2 |23 |
-- |2 |02/01/2020 |3 |44 |
-- |3 |03/01/2020 |1 |123 |
-- |4 |04/01/2020 |1 |2233 |
-- +--+----------------+-----------+------+
但一旦你
上的表格
和
字段,那么列名就变成了行,您就不能再
..。您还需要确保要取消透视的列的数据类型是相同的(因此使用子查询):
select *
from (
select
id,
observation_date,
facility_id,
campno::varchar as campno
from source_table) unpivot ( val_col for name_col in (facility_id, campno) );
-- Resulting table:
-- +--+----------------+-----------+-------+
-- |ID|OBSERVATION_DATE|NAME_COL |VAL_COL|
-- +--+----------------+-----------+-------+
-- |1 |01/01/2020 |FACILITY_ID|2 |
-- |1 |01/01/2020 |CAMPNO |23 |
-- |2 |02/01/2020 |FACILITY_ID|3 |
-- |2 |02/01/2020 |CAMPNO |44 |
-- |3 |03/01/2020 |FACILITY_ID|1 |
-- |3 |03/01/2020 |CAMPNO |123 |
-- |4 |04/01/2020 |FACILITY_ID|1 |
-- |4 |04/01/2020 |CAMPNO |2233 |
-- +--+----------------+-----------+-------+
查看没有名为的列的原因
或者
上面?它们已被取消透视为行,不再是列...
我认为(但不确定)您可能正在寻找的是:
select
id,
observation_date,
name_col,
val_col,
'ONA',
md5(concat_ws('', id, name_col, val_col, observation_date)),
current_timestamp()
from (
select
id,
to_date(observation_date, 'DD/MM/YYYY') as observation_date,
facility_id::varchar as facility_id,
campno::varchar as campno
from source_table
) unpivot ( val_col for name_col in (facility_id, campno) )
-- Resulting table:
-- +--+----------------+-----------+-------+-----+----------------------------------------------------------------+------------------------------------+
-- |ID|OBSERVATION_DATE|NAME_COL |VAL_COL|'ONA'|MD5(MD5(CONCAT_WS('', ID, NAME_COL, VAL_COL, OBSERVATION_DATE)))|CURRENT_TIMESTAMP() |
-- +--+----------------+-----------+-------+-----+----------------------------------------------------------------+------------------------------------+
-- |1 |2020-01-01 |FACILITY_ID|2 |ONA |19baf986df81f1818afae848cd14fc87 |2021-03-01 09:59:45.919000000 -08:00|
-- |1 |2020-01-01 |CAMPNO |23 |ONA |1fcb518697772362a0dabcba7aacfa8a |2021-03-01 09:59:45.919000000 -08:00|
-- |2 |2020-01-02 |FACILITY_ID|3 |ONA |60a82dbc3d1b78d09519fc50b26026cd |2021-03-01 09:59:45.919000000 -08:00|
-- |2 |2020-01-02 |CAMPNO |44 |ONA |cb03dc5d1df4e2548f26284c5ff339c2 |2021-03-01 09:59:45.919000000 -08:00|
-- |3 |2020-01-03 |FACILITY_ID|1 |ONA |fe0dd77e601f6f3bac4cde8da537eb3d |2021-03-01 09:59:45.919000000 -08:00|
-- |3 |2020-01-03 |CAMPNO |123 |ONA |95604e260fe1a69bc54100b08fee6d87 |2021-03-01 09:59:45.919000000 -08:00|
-- |4 |2020-01-04 |FACILITY_ID|1 |ONA |a94029663591b1c942e9f3be1467e04f |2021-03-01 09:59:45.919000000 -08:00|
-- |4 |2020-01-04 |CAMPNO |2233 |ONA |1d90ae0854a9042bf44906511e90ced8 |2021-03-01 09:59:45.919000000 -08:00|
-- +--+----------------+-----------+-------+-----+----------------------------------------------------------------+------------------------------------+
使用md5(md5())是没有意义的,我想我已经在你的另一个帖子中看到过,所以我不确定你为什么要这么做。
https://stackoverflow.com/questions/66424515
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