煜星Oracle vs PostgreSQL Develop（2540437） - 主管PIPE ROW

racle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 existTEST-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

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 9999999999999.9999TEST-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 TABLETime: 5.255 ms[local]:5432 pg12@testdb=# create table t_piperow(id int,c1 timestamp ,c2 varchar(20),c3 float);CREATE TABLETime: 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 500Time: 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_piperowpg12@testdb-# ASpg12@testdb-# $$pg12@testdb$#   SELECT * FROM t_piperow;pg12@testdb$# $$pg12@testdb-# LANGUAGE SQL;CREATE FUNCTIONTime: 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_piperowpg12@testdb-# ASpg12@testdb-# $$pg12@testdb$# BEGINpg12@testdb$#   RETURN QUERY SELECT * FROM t_piperow;pg12@testdb$# END;pg12@testdb$# $$pg12@testdb-# LANGUAGE PLPGSQL;CREATE FUNCTIONTime: 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=#