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[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,可以說我有一個像這樣的測試數據表
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
)
我還有一個piplined
函數,該函數每次調用返回一行 ,並且包含多列 ,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;
/
當然
select * from table(MY_PACK.runPipe(1))
退貨
Smih 139289289 Paris
現在我想要一條select語句,該語句將返回test_data
所有行以及管道函數中的相應值
例如類似
select test_data.*, (select * from table(MY_PACK.runPipe(id))) from test_data
當然哪個不起作用,但是預期結果將是:
1 John Smih 139289289 Paris
2 Jack Lock 1888888888 London
3 Peter May 99999999999 Berlin
那么,在給定test_data
表和pipelined
函數的情況下,如何實現上述預期結果?
試試這個選擇:
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
請使用別名嘗試以下內容
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
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