![](/img/trans.png)
[英]How to order the right way to include multiple groups in a single results set?
[英]How to include single row multiple column subquery (PIPELINED function) results in the result set
我正在使用Oracle 11g。
所以,可以说我有一个像这样的测试数据表
with test_data as (
select 1 as id, 'John' as name from dual
union all
select 2 as id, 'Jack' as name from dual
union all
select 3 as id, 'Peter' as name from dual
)
我还有一个piplined
函数,该函数每次调用返回一行 ,并且包含多列 ,如下所示:
CREATE OR REPLACE PACKAGE MY_PACK AS
TYPE result_record is RECORD(
surname varchar2(27),
telephone varchar2(50),
place_of_birth varchar2(50)
);
TYPE result_table IS TABLE OF result_record;
function runPipe(id number) RETURN result_table PIPELINED;
END ERC_PACK;
/
CREATE OR REPLACE PACKAGE BODY MY_PACK AS
function runPipe(id number) RETURN result_table PIPELINED IS
rec result_record:=null;
begin
if (id=1) then
select 'Smih','139289289','Paris' into rec from dual;
end if;
if (id=2) then
select 'Lock','1888888888','London' into rec from dual;
end if;
if (id=3) then
select 'May','99999999999','Berlin' into rec from dual;
end if;
pipe row (rec);
return;
end;
END ERC_PACK;
/
当然
select * from table(MY_PACK.runPipe(1))
退货
Smih 139289289 Paris
现在我想要一条select语句,该语句将返回test_data
所有行以及管道函数中的相应值
例如类似
select test_data.*, (select * from table(MY_PACK.runPipe(id))) from test_data
当然哪个不起作用,但是预期结果将是:
1 John Smih 139289289 Paris
2 Jack Lock 1888888888 London
3 Peter May 99999999999 Berlin
那么,在给定test_data
表和pipelined
函数的情况下,如何实现上述预期结果?
试试这个选择:
with test_data as (
select 1 as id, 'John' as name from dual
union all
select 2 as id, 'Jack' as name from dual
union all
select 3 as id, 'Peter' as name from dual
)
select td.*, s.*
from test_data td
LEFT JOIN table(MY_PACK.runPipe(td.id)) s ON 1 = 1;
您可以使用OUTER APPLY
:
select td.*, s.*
from test_data td
outer apply (select * from table(MY_PACK.runPipe(td.id))) s
请使用别名尝试以下内容
with test_data as (
select 1 as id, 'John' as name from dual
union all
select 2 as id, 'Jack' as name from dual
union all
select 3 as id, 'Peter' as name from dual
)
select * from table(MY_PACK.runPipe(test_data.id))) from test_data
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.