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Oracle的PL/SQL提供了Pipelined Table Functions特性用于把多行数据返回到调用者，可以有效的提升性能。
在PostgreSQL中，可以通过在函数中利用SETOF或者RETURN NEXT来实现。
Oracle
创建数据表，插入数据
TEST-orcl@DESKTOP-V430TU3>drop table t_piperow;
drop table t_piperow
*
ERROR at line 1:
ORA-00942: table or view does not exist
TEST-orcl@DESKTOP-V430TU3>create table t_piperow(id int,c1 timestamp ,c2 varchar2(20),c3 number);
Table created.
TEST-orcl@DESKTOP-V430TU3>
TEST-orcl@DESKTOP-V430TU3>insert into t_piperow(id,c1,c2,c3)
2 select rownum,sysdate,'test'||rownum,123455.55 from dba_objects where rownum <= 500;
500 rows created.
TEST-orcl@DESKTOP-V430TU3>commit;
Commit complete.
TEST-orcl@DESKTOP-V430TU3>
创建Type
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TEST-orcl@DESKTOP-V430TU3>CREATE OR REPLACE TYPE rec_t_piperow AS OBJECT(id int,c1 timestamp ,c2 varchar2(20),c3 number);
2 /
Type created.
TEST-orcl@DESKTOP-V430TU3>CREATE OR REPLACE TYPE type_t_piperow AS TABLE OF rec_t_piperow;
2 /
Type created.
函数实现
TEST-orcl@DESKTOP-V430TU3>CREATE OR REPLACE FUNCTION func_piperow_demo1 RETURN type_t_piperow PIPELINED IS
2 BEGIN
3 FOR rec in (select * from t_piperow) LOOP
4 PIPE ROW (rec_t_piperow(rec.id,rec.c1,rec.c2,rec.c3));
5 END LOOP;
6 RETURN;
7 END;
8 /
Function created.
查询数据
TEST-orcl@DESKTOP-V430TU3>column c3 format 9999999999999.9999
TEST-orcl@DESKTOP-V430TU3>select * from table(func_piperow_demo1()) where rownum < 5;
ID C1 C2 C3
---------- -------------------- -------------------- -------------------
1 31-OCT-19 10.50.38.0 test1 123455.5500
00000 AM
2 31-OCT-19 10.50.38.0 test2 123455.5500
00000 AM
3 31-OCT-19 10.50.38.0 test3 123455.5500
00000 AM
4 31-OCT-19 10.50.38.0 test4 123455.5500
00000 AM
PostgreSQL
下面来看看PG的实现，创建表，插入数据
[local]:5432 pg12@testdb=# drop table if exists t_piperow;
DROP TABLE
Time: 5.255 ms
[local]:5432 pg12@testdb=# create table t_piperow(id int,c1 timestamp ,c2 varchar(20),c3 float);
CREATE TABLE
Time: 4.711 ms
[local]:5432 pg12@testdb=#
[local]:5432 pg12@testdb=# insert into t_piperow(id,c1,c2,c3)
pg12@testdb-# select x,now(),'test'||x,123455.55 from generate_series(1,500) x;
INSERT 0 500
Time: 10.183 ms
[local]:5432 pg12@testdb=#
[local]:5432 pg12@testdb=#
函数实现
第一种方式，使用SQL：
[local]:5432 pg12@testdb=# CREATE OR REPLACE FUNCTION func_piperow_demo1() RETURNS SETOF PUBLIC.t_piperow
pg12@testdb-# AS
pg12@testdb-# $$
pg12@testdb$# SELECT * FROM t_piperow;
pg12@testdb$# $$
pg12@testdb-# LANGUAGE SQL;
CREATE FUNCTION
Time: 1.341 ms
[local]:5432 pg12@testdb=#
[local]:5432 pg12@testdb=# select func_piperow_demo1() limit 5;
func_piperow_demo1
--------------------------------------------------
(1,"2019-10-31 11:09:27.222996",test1,123455.55)
(2,"2019-10-31 11:09:27.222996",test2,123455.55)
(3,"2019-10-31 11:09:27.222996",test3,123455.55)
(4,"2019-10-31 11:09:27.222996",test4,123455.55)
(5,"2019-10-31 11:09:27.222996",test5,123455.55)
(5 rows)
Time: 1.038 ms
[local]:5432 pg12@testdb=#
第二种方式，使用PL/pgSQL，RETURN QUERY
[local]:5432 pg12@testdb=# CREATE OR REPLACE FUNCTION func_piperow_demo2() RETURNS SETOF PUBLIC.t_piperow
pg12@testdb-# AS
pg12@testdb-# $$
pg12@testdb$# BEGIN
pg12@testdb$# RETURN QUERY SELECT * FROM t_piperow;
pg12@testdb$# END;
pg12@testdb$# $$
pg12@testdb-# LANGUAGE PLPGSQL;
CREATE FUNCTION
Time: 3.850 ms
[local]:5432 pg12@testdb=# select func_piperow_demo2() limit 5;
func_piperow_demo2
--------------------------------------------------
(1,"2019-10-31 11:09:27.222996",test1,123455.55)
(2,"2019-10-31 11:09:27.222996",test2,123455.55)
(3,"2019-10-31 11:09:27.222996",test3,123455.55)
(4,"2019-10-31 11:09:27.222996",test4,123455.55)
(5,"2019-10-31 11:09:27.222996",test5,123455.55)
(5 rows)
Time: 5.645 ms
[local]:5432 pg12@testdb=#
第三种方式，使用PL/pgSQL，RETURN NEXT
[local]:5432 pg12@testdb=# select func_piperow_demo3() limit 5;
func_piperow_demo3
--------------------------------------------------
(1,"2019-10-31 11:09:27.222996",test1,123455.55)
(2,"2019-10-31 11:09:27.222996",test2,123455.55)
(3,"2019-10-31 11:09:27.222996",test3,123455.55)
(4,"2019-10-31 11:09:27.222996",test4,123455.55)
(5,"2019-10-31 11:09:27.222996",test5,123455.55)
(5 rows)
Time: 5.588 ms
[local]:5432 pg12@testdb=#
参考资料
PostgreSQL Oracle 兼容性 之 TABLE、PIPELINED函数
Pipelined in Oracle as well in PostgreSQL