What exactly is parallelised in pipelined functions?

Hi All,
I have a slight confusion about pipelined table functions, which are parallelised (with PARALLEL_ENABLE clause).
Everywhere on the internet/documents it is mentioned that, we can use PARALLEL_ENABLE with pipelined table functions, I am not clear about exactly how this will work?
For example, I have a pipelines function, which is called by C# code to write data in file ( Oracle v11.2 on Linux 64bit). Function looks something like
FUNCTION extract_data (param1..., param2...., param3.... )
RETURN data_tab /* this data_tab is table of record type data_rec */
PIPELINED
IS
     v_data_rec      data_rec := data_rec ( null, null,....., null);
BEGIN
FOR i_rec IN ( select col1, col2, col3,.... FROM table1, table2 WHERE <all typical stuff here> )
LOOP
          v_data_rec.col1 := i_rec.col1 ;
          v_data_rec.col2 := i_rec.col2 ;
          v_data_rec.col3 := i_rec.col3 ;
          if v_data_rec.col1 = 'A' then
              select col into v_data_rec.col4 from tablex where .... ;
          elsif v_data_rec.col1 = 'B' then
              select col into v_data_rec.col4 from tabley where .... ;
          elsif v_data_rec.col1 = 'C' then
              select col into v_data_rec.col4 from tablez where .... ;
          elsif v_data_rec.col1 = 'D' then
              select col into v_data_rec.col4 from tablet where .... ;
          end if ;
          /* some more bits of complex logic here */
          PIPE ROW ( v_data_rec ) ;
END LOOP ;
END extract_data ;Now, if I add PARALLEL_ENABLE to my function definition, which bits will be parallelised? will anything be parallelised ?
Thoughts please.
Thanks in advance.

i.e. this ( where the query might well be run in parallel, but the result processed serially by the pipelined function):
SQL> explain plan for
2 select *
3 from   table(
4         f_serial_pipe
5         (cursor(select /*+ parallel (t1 4) */
6                        *
7                 from   t1)));
Explained.
SQL>
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 1425181138
| Id | Operation                          | Name          | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT                   |               | 8168 | 1100K|    34   (3)| 00:00:01 |
|   1 | VIEW                              |               | 8168 | 1100K|    34   (3)| 00:00:01 |
|   2 |   COLLECTION ITERATOR PICKLER FETCH| F_SERIAL_PIPE | 8168 |       |    34   (3)| 00:00:01 |
Note
   - dynamic sampling used for this statement (level=4)
13 rows selected.
SQL> is different from thsi:
SQL> explain plan for
2 select *
3 from   table(
4         f_parallel_pipe
5         (cursor(select /*+ parallel (t1 4) */
6                        *
7                 from   t1)));
Explained.
SQL>
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 2029647211
| Id | Operation                            | Name            | Rows | Bytes | Cost (%CPU)| Time     |    TQ |IN-OUT| PQ Distrib |
|   0 | SELECT STATEMENT                     |                 | 8168 | 1100K|    34   (3)| 00:00:01 |        |      |            |
|   1 | PX COORDINATOR                      |                 |       |       |            |          |        |      |            |
|   2 |   PX SEND QC (RANDOM)                | :TQ10000        | 8168 | 1100K|    34   (3)| 00:00:01 | Q1,00 | P->S | QC (RAND) |
|   3 |    VIEW                              |                 | 8168 | 1100K|    34   (3)| 00:00:01 | Q1,00 | PCWP |            |
|   4 |     COLLECTION ITERATOR PICKLER FETCH| F_PARALLEL_PIPE | 8168 |       |    34   (3)| 00:00:01 | Q1,00 | PCWP |            |
|   5 |      PX BLOCK ITERATOR               |                 |   798K|    97M| 2659   (1)| 00:00:02 | Q1,00 | PCWC |            |
|   6 |       TABLE ACCESS FULL              | T1              |   798K|    97M| 2659   (1)| 00:00:02 | Q1,00 | PCWP |            |
Note
   - dynamic sampling used for this statement (level=4)
17 rows selected.
SQL>

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Hi,
Can any body tells when to use PIPELINE function in simple words.
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910575 wrote:
Can any body tells when to use PIPELINE function in simple words.Wrong question.
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create table b (f1 number, f2, date, f3 varchar2);
create table c (f1 number, f2, date, f3 varchar2);
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l_rec ANYTYPE;
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SELECT "NAME"
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Hi Eliante, Hi Dominic,
Very Interesting. Here what I can reproduce in Oracle Database 10g Enterprise Edition Release 10.2.0.4.0 - 64bi
sql > truncate table dummy;
Table truncated.
sql >INSERT INTO DUMMY VALUES('Original name');
1 row created.Please pay attention that I didn't commit
sql > with dummy_name as
2 (
3 select "NAME"
4 from table(pkg_dummy.func_get_dummy_name())
5 )
6 select "NAME"
7 from dummy_name;
NAME
Original name
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PLAN_TABLE_OUTPUT
SQL_ID 838mtur4m74j2, child number 0
with dummy_name as ( select "NAME" from table(pkg_dummy.func_get_dummy_name()) ) select "NAME"
from dummy_name
Plan hash value: 117055
| Id | Operation                         | Name                | Starts | A-Rows |   A-Time   | Buffers |
|   1 | COLLECTION ITERATOR PICKLER FETCH| FUNC_GET_DUMMY_NAME |      1 |      1 |00:00:00.01 |      15 |
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2 (
3 select /*+ materialize */ "NAME"
4 from table(pkg_dummy.func_get_dummy_name())
5 )
6 select "NAME"
7 from dummy_name;
no rows selected
sql >start c:\dispcursor
PLAN_TABLE_OUTPUT
SQL_ID 9frx3wjk992rd, child number 0
with dummy_name as ( select /*+ materialize */ "NAME" from table(pkg_dummy.func_get_dummy_name()) ) select "NAME" from dummy_name
Plan hash value: 1359790764
| Id | Operation                           | Name                        | Starts | E-Rows | A-Rows |   A-Time   | Buffers | OMem | 1Mem | Used-Mem |
|   1 | TEMP TABLE TRANSFORMATION          |                             |      1 |        |      0 |00:00:00.01 |      20 |       |       |          |
|   2 |   LOAD AS SELECT                    |                             |      1 |        |      0 |00:00:00.01 |      19 | 1024 | 1024 |          |
|   3 |    COLLECTION ITERATOR PICKLER FETCH| FUNC_GET_DUMMY_NAME         |      1 |        |      0 |00:00:00.01 |      17 |       |       |          |
|   4 |   VIEW                              |                             |      1 |   8168 |      0 |00:00:00.01 |       0 |       |       |          |
|   5 |    TABLE ACCESS FULL                | SYS_TEMP_0FD9D780C_BD7649E3 |      1 |   8168 |      0 |00:00:00.01 |       0 |       |       |          |
16 rows selected.I can point out that the TABLE ACCESS FULL of the global temporary SYS_TEMP_0FD9D780C_BD7649E3 table created by Oracle in response to the -materialize hint is returning *0 rows* in operation 5.
Why?
It seems for me that the reason for that comes from the fact that the creation of this SYS_TEMP_0FD9D780C_BD7649E3 table is done via direct path read/direct path write and as far as
the insert of *'Original name'* has not been pushed yet into the disc then materializing the query will generate an empty temporary table (empty in this case).
This is why if I had committed I will not have seen such a kind of discrepancy between those two queries
What do you think?
Mohamed Houri
www.hourim.wordpress.com

What exactly is parallelised in pipelined functions?

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