我试图用另一张桌子做一张桌子。原始表的行如下所示:
------------------------
| col1 | col 2 | col 3 |
------------------------
| item | a,b,c | 1,2,3 |
------------------------
我正在尝试将该行放入这样的表中:
------------------------
| col1 | col 2 | col 3 |
------------------------
| item | a | 1 |
------------------------
| item | b | 2 |
------------------------
| item | c | 3 |
------------------------
所以基本上我想同时取消两个逗号分隔的行。到目前为止,我能想到的最好的方法是分别对每列进行UNNEST,然后尝试合并两个结果表(我也在努力地进行合并),但是理想情况下,我希望一步实现这一点。
这是我一次查询UNNEST的查询:
SELECT
col1, col2, col3
FROM
tableName,
UNNEST(SPLIT(col2)) AS col2
这是我尝试进行UNNEST作为子查询的尝试,但是它给出了大量结果:
SELECT sub.*
FROM (
SELECT
col1, col2, col3 AS col3
FROM
tableName,
UNNEST(SPLIT(col2)) AS col2
WHERE
randomCol = 'something'
) sub,
UNNEST(SPLIT(sub.col3)) AS col3
答案 0 :(得分:1)
SQL标准允许将多个值传递给unnest()
函数。
因此以下内容应该起作用(并且在Postgres中起作用)
select d.col1,
t.*
from data d
cross join unnest(string_to_array(d.col2, ','), string_to_array(d.col3, ',')) as t(col1, col2)
这也可以正确处理列表中不同数量的元素。
但是,我不知道您的专有DBMS是否支持该功能。
答案 1 :(得分:0)
说原始表有“一行”:您是说一个表吗?如果是这样,就可以解决问题:
with
num_rows_ as (
select length( regexp_replace((select b from t), '[^,]+')) + 1 value_ from dual),
a_ as (
select a from t),
b_ as (
select regexp_substr( (select b from t), '[^,]', 1, level ) b,rownum rownum_
from dual
connect by level <= (select value_ from num_rows_)),
c_ as (
select regexp_substr( (select c from t), '[^,]', 1, level ) c,rownum rownum_
from dual
connect by level <= (select value_ from num_rows_))
select a_.a,b_.b,c_.c
from a_
full outer join b_ on 1=1
inner join c_ on b_.rownum_ = c_.rownum_;
http://sqlfiddle.com/#!4/f795b9/29
或更短一步:
with a_ as
(select a from t),
b_c_ as (
select regexp_substr( (select b from t), '[^,]', 1, level ) b,regexp_substr( (select c from t), '[^,]', 1, level ) c
from dual
connect by level <= (length( regexp_replace((select b from t), '[^,]+')) + 1)
)
select * from a_ cross join b_c_;
答案 2 :(得分:0)
您可以使用unnest(split(col))
策略,但不要交叉连接这两列。您的答案暗含了逗号分隔值的隐含顺序,因此您需要建立一个字段(下面的RowNumber
)来指示此顺序。
with Expanded2 as (
select
tableName.col1,
col2.col2,
row_number() over (partition by col1 order by 1) RowNumber
from
tableName,
unnest(split(col2)) col2
), Expanded3 as (
select
tableName.col1,
col3.col3,
row_number() over (partition by col1 order by 1) RowNumber
from
tableName,
unnest(split(col3)) col3
)
select
Expanded2.col1,
Expanded2.col2,
Expanded3.col3
from
Expanded2
full outer join Expanded3 on
Expanded2.col1 = Expanded3.col1
and Expanded2.RowNumber = Expanded3.RowNumber
我不确定您的rdbms如何有效地处理空窗口分区。上面的工作在PostgreSQL中。 SQL Server将需要order by (select null)
。嗯。