Parallel not working in pipelined table function?

I've found this excelent article titled 'Oracle fast parallel data unload into ASCII file(s)' in this blog: http://jiri.wordpress.com/2009/03/18/oracle-fast-parallel-data-unload-into-ascii-files/
I have compiled the code and created the objects and the directory in my DB
But when I execute :
SELECT *
FROM TABLE(
DATA_UNLOAD(
CURSOR(
SELECT /*+ PARALLEL(A, 2, 1) */
TABLE_NAME || '|' ||
COLUMN_NAME || '|' ||
DATA_TYPE
FROM MYTABLE A
'SAMPLE_SPOOL.TXT',
'DIR_USERS_JIRI',
'Y',
'Y' )
It is suposed to return 2 rows (because of parallel execution), but it just returns 1
Do I have to do something special in order to make parallel pipelined function work
Edited by: igorcb123 on 01-02-2011 01:58 PM

If & Else is wrongly used in the function
FUNCTION F_PS_HIGH_SCHOOL (OLD_HS CHAR)
RETURN
CHAR
IS
NEW_HIGH_SCHOOL CHAR(11);
BEGIN
IF OLD_HS = ' ' THEN NEW_HIGH_SCHOOL := ' ';
ELSE-- Incorrect usage
SELECT
MC_AD_HS_NAME INTO NEW_HIGH_SCHOOL
FROM
XLAT_HIGH_SCHOOL_CODES_2
WHERE
SIS_HS_CODE = OLD_HS;
RETURN NEW_HIGH_SCHOOL;
END IF;
RETURN NEW_HIGH_SCHOOL;
END F_PS_HIGH_SCHOOL;

Similar Messages

  • 10g: delay for collecting results from parallel pipelined table functions

    When parallel pipelined table functions are properly started and generate output record, there is a delay for the consuming main thread to gather these records.
    This delay is huge compared with the run-time of the worker threads.
    For my application it goes like this:
    main thread timing efforts to start worker and collect their results:
    [10:50:33-*10:50:49*]:JOMA: create (master): 015.93 sec (#66356 records, #4165/sec)
    worker threads:
    [10:50:34-*10:50:39*]:JOMA: create (slave) : 005.24 sec (#2449 EDRs, #467/sec, #0 errored / #6430 EBTMs, #1227/sec, #0 errored) - bulk #1 / sid #816
    [10:50:34-*10:50:39*]:JOMA: create (slave) : 005.56 sec (#2543 EDRs, #457/sec, #0 errored / #6792 EBTMs, #1221/sec, #0 errored) - bulk #1 / sid #718
    [10:50:34-*10:50:39*]:JOMA: create (slave) : 005.69 sec (#2610 EDRs, #459/sec, #0 errored / #6950 EBTMs, #1221/sec, #0 errored) - bulk #1 / sid #614
    [10:50:34-*10:50:39*]:JOMA: create (slave) : 005.55 sec (#2548 EDRs, #459/sec, #0 errored / #6744 EBTMs, #1216/sec, #0 errored) - bulk #1 / sid #590
    [10:50:34-*10:50:39*]:JOMA: create (slave) : 005.33 sec (#2461 EDRs, #462/sec, #0 errored / #6504 EBTMs, #1220/sec, #0 errored) - bulk #1 / sid #508
    You can see, the worker threads are all started at the same time and terminating at the same time: 10:50:34-10:50:*39*.
    But the main thread just invoking them and saving their results into a collection has finished at 10:50:*49*.
    Why does it need #10 sec more just to save the data?
    Here's a sample sqlplus script to demonstrate this:
    --------------------------- snip -------------------------------------------------------
    set serveroutput on;
    drop table perf_data;
    drop table test_table;
    drop table tmp_test_table;
    drop type ton_t;
    drop type test_list;
    drop type test_obj;
    create table perf_data
         sid number,
         t1 timestamp with time zone,
         t2 timestamp with time zone,
         client varchar2(256)
    create table test_table
         a number(19,0),
         b timestamp with time zone,
         c varchar2(256)
    create global temporary table tmp_test_table
         a number(19,0),
         b timestamp with time zone,
         c varchar2(256)
    create or replace type test_obj as object(
         a number(19,0),
         b timestamp with time zone,
         c varchar2(256)
    create or replace type test_list as table of test_obj;
    create or replace type ton_t as table of number;
    create or replace package test_pkg
    as
         type test_rec is record (
              a number(19,0),
              b timestamp with time zone,
              c varchar2(256)
         type test_tab is table of test_rec;
         type test_cur is ref cursor return test_rec;
         function TZDeltaToMilliseconds(
              t1 in timestamp with time zone,
              t2 in timestamp with time zone)
         return pls_integer;
         function TF(mycur test_cur)
    return test_list pipelined
    parallel_enable(partition mycur by hash(a));
    end;
    create or replace package body test_pkg
    as
         * Calculate timestamp with timezone difference
         * in milliseconds
         function TZDeltaToMilliseconds(
              t1 in timestamp with time zone,
              t2 in timestamp with time zone)
         return pls_integer
         is
         begin
              return     (extract(hour from t2) - extract(hour from t1)) * 3600 * 1000
              +     (extract(minute from t2) - extract(minute from t1)) * 60 * 1000
              +     (extract(second from t2) - extract(second from t1)) * 1000;
         end TZDeltaToMilliseconds;
         function TF(mycur test_cur)
    return test_list pipelined
    parallel_enable(partition mycur by hash(a))
    is
              pragma autonomous_transaction;
              sid number;
              counter number(19,0) := 0;
              myrec test_rec;
              mytab test_tab;
              mytab2 test_list := test_list();
              t1 timestamp with time zone;
              t2 timestamp with time zone;
         begin
              t1 := systimestamp;
              select userenv('SID') into sid from dual;
              dbms_output.put_line('test_pkg.TF( sid => '''|| sid || ''' ): enter');
              loop
                   fetch mycur into myRec;
                   exit when mycur%NOTFOUND;
                   mytab2.extend;
                   mytab2(mytab2.last) := test_obj(myRec.a, myRec.b, myRec.c);
              end loop;
              for i in mytab2.first..mytab2.last loop
                   -- attention: saves own SID in test_obj.a for indication to caller
                   --     how many sids have been involved
                   pipe row(test_obj(sid, mytab2(i).b, mytab2(i).c));
                   pipe row(test_obj(sid, mytab2(i).b, mytab2(i).c)); -- duplicate
                   pipe row(test_obj(sid, mytab2(i).b, mytab2(i).c)); -- duplicate once again
                   counter := counter + 1;
              end loop;
              t2 := systimestamp;
              insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'slave');
              commit;
              dbms_output.put_line('test_pkg.TF( sid => '''|| sid || ''' ): exit, piped #' || counter || ' records');
         end;
    end;
    declare
         myList test_list := test_list();
         myList2 test_list := test_list();
         sids ton_t := ton_t();
         sid number;
         t1 timestamp with time zone;
         t2 timestamp with time zone;
    procedure LogPerfTable
    is
    type ton is table of number;
    type tot is table of timestamp with time zone;
              type clients_t is table of varchar2(256);
    sids ton;
    t1s tot;
    t2s tot;
              clients clients_t;
    deltaTime integer;
    btsPerSecond number(19,0);
    edrsPerSecond number(19,0);
    begin
    select sid, t1, t2, client bulk collect into sids, t1s, t2s, clients from perf_data order by client;
    if clients.count > 0 then
    for i in clients.FIRST .. clients.LAST loop
    deltaTime := test_pkg.TZDeltaToMilliseconds(t1s(i), t2s(i));
    if deltaTime = 0 then deltaTime := 1; end if;
    dbms_output.put_line(
    '[' || to_char(t1s(i), 'hh:mi:ss') ||
    '-' || to_char(t2s(i), 'hh:mi:ss') ||
    ']:' ||
    ' client ' || clients(i) || ' / sid #' || sids(i)
    end loop;
    end if;
    end LogPerfTable;
    begin
         select userenv('SID') into sid from dual;
         for i in 1..200000 loop
              myList.extend; myList(myList.last) := test_obj(i, sysdate, to_char(i+2));
         end loop;
         -- save into the real table
         insert into test_table select * from table(cast (myList as test_list));
         -- save into the tmp table
         insert into tmp_test_table select * from table(cast (myList as test_list));
         dbms_output.put_line(chr(10) || '(1) copy ''mylist'' to ''mylist2'' by streaming via table function...');
         delete from perf_data;
         t1 := systimestamp;
         select /*+ first_rows */ test_obj(a, b, c) bulk collect into myList2
         from table(test_pkg.TF(CURSOR(select /*+ parallel(tab,5) */ * from table(cast (myList as test_list)) tab)));
         t2 := systimestamp;
         insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'master');
         LogPerfTable;
         dbms_output.put_line('... saved #' || myList2.count || ' records');
         select distinct(tab.a) bulk collect into sids from table(cast (myList2 as test_list)) tab;
         dbms_output.put_line(chr(10) || '(2) copy temporary ''tmp_test_table'' to ''mylist2'' by streaming via table function:');
         delete from perf_data;
         t1 := systimestamp;
         select /*+ first_rows */ test_obj(a, b, c) bulk collect into myList2
         from table(test_pkg.TF(CURSOR(select /*+ parallel(tab,5) */ * from tmp_test_table tab)));
         t2 := systimestamp;
         insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'master');
         LogPerfTable;
         dbms_output.put_line('... saved #' || myList2.count || ' records');
         select distinct(tab.a) bulk collect into sids from table(cast (myList2 as test_list)) tab;
         dbms_output.put_line(chr(10) || '(3) copy physical ''test_table'' to ''mylist2'' by streaming via table function:');
         delete from perf_data;
         t1 := systimestamp;
         select /*+ first_rows */ test_obj(a, b, c) bulk collect into myList2
         from table(test_pkg.TF(CURSOR(select /*+ parallel(tab,5) */ * from test_table tab)));
         t2 := systimestamp;
         insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'master');
         LogPerfTable;
         dbms_output.put_line('... saved #' || myList2.count || ' records');
         select distinct(tab.a) bulk collect into sids from table(cast (myList2 as test_list)) tab;
    end;
    --------------------------- snap -------------------------------------------------------
    best regards,
    Frank

    Hello
    I think the delay you are seeing is down to choosing the partitioning method as HASH. When you specify anything other than ANY, an additional buffer sort is included in the execution plan...
    create or replace package test_pkg
    as
    type test_rec is record (
    a number(19,0),
    b timestamp with time zone,
    c varchar2(256)
    type test_tab is table of test_rec;
    type test_cur is ref cursor return test_rec;
    function TZDeltaToMilliseconds(
    t1 in timestamp with time zone,
    t2 in timestamp with time zone)
    return pls_integer;
    function TF(mycur test_cur)
    return test_list pipelined
    parallel_enable(partition mycur by hash(a));
    function TF_Any(mycur test_cur)
    return test_list pipelined
    parallel_enable(partition mycur by ANY);
    end;
    create or replace package body test_pkg
    as
    * Calculate timestamp with timezone difference
    * in milliseconds
    function TZDeltaToMilliseconds(
    t1 in timestamp with time zone,
    t2 in timestamp with time zone)
    return pls_integer
    is
    begin
    return (extract(hour from t2) - extract(hour from t1)) * 3600 * 1000
    + (extract(minute from t2) - extract(minute from t1)) * 60 * 1000
    + (extract(second from t2) - extract(second from t1)) * 1000;
    end TZDeltaToMilliseconds;
      function TF(mycur test_cur)
      return test_list pipelined
      parallel_enable(partition mycur by hash(a))
      is
      pragma autonomous_transaction;
        sid number;
        counter number(19,0) := 0;
        myrec test_rec;
        t1 timestamp with time zone;
        t2 timestamp with time zone;
      begin
        t1 := systimestamp;
        select userenv('SID') into sid from dual;
        dbms_output.put_line('test_pkg.TF( sid => '''|| sid || ''' ): enter');
      loop
        fetch mycur into myRec;
        exit when mycur%NOTFOUND;
        -- attention: saves own SID in test_obj.a for indication to caller
        -- how many sids have been involved
        pipe row(test_obj(sid, myRec.b, myRec.c));
        pipe row(test_obj(sid, myRec.b, myRec.c)); -- duplicate
        pipe row(test_obj(sid, myRec.b, myRec.c)); -- duplicate once again
        counter := counter + 1;
      end loop;
      t2 := systimestamp;
      insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'slave');
      commit;
      dbms_output.put_line('test_pkg.TF( sid => '''|| sid || ''' ): exit, piped #' || counter || ' records');
      end;
      function TF_any(mycur test_cur)
      return test_list pipelined
      parallel_enable(partition mycur by ANY)
      is
      pragma autonomous_transaction;
        sid number;
        counter number(19,0) := 0;
        myrec test_rec;
        t1 timestamp with time zone;
        t2 timestamp with time zone;
      begin
        t1 := systimestamp;
        select userenv('SID') into sid from dual;
        dbms_output.put_line('test_pkg.TF( sid => '''|| sid || ''' ): enter');
        loop
          fetch mycur into myRec;
          exit when mycur%NOTFOUND;
          -- attention: saves own SID in test_obj.a for indication to caller
          -- how many sids have been involved
          pipe row(test_obj(sid, myRec.b, myRec.c));
          pipe row(test_obj(sid, myRec.b, myRec.c)); -- duplicate
          pipe row(test_obj(sid, myRec.b, myRec.c)); -- duplicate once again
          counter := counter + 1;
        end loop;
        t2 := systimestamp;
        insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'slave');
        commit;
        dbms_output.put_line('test_pkg.TF( sid => '''|| sid || ''' ): exit, piped #' || counter || ' records');
      end;
    end;
    explain plan for
    select /*+ first_rows */ test_obj(a, b, c)
    from table(test_pkg.TF(CURSOR(select /*+ parallel(tab,5) */ * from test_table tab)));
    select * from table(dbms_xplan.display);
    Plan hash value: 1037943675
    | Id  | Operation                             | Name       | Rows  | Bytes | Cost (%CPU)| Time     |    TQ  |IN-OUT| PQ Distrib |
    |   0 | SELECT STATEMENT                      |            |  8168 |  3972K|    20   (0)| 00:00:01 |        |      |            |
    |   1 |  PX COORDINATOR                       |            |       |       |            |          |        |      |            |
    |   2 |   PX SEND QC (RANDOM)                 | :TQ10001   |  8168 |  3972K|    20   (0)| 00:00:01 |  Q1,01 | P->S | QC (RAND)  |
    |   3 |    BUFFER SORT                        |            |  8168 |  3972K|            |          |  Q1,01 | PCWP |            |
    |   4 |     VIEW                              |            |  8168 |  3972K|    20   (0)| 00:00:01 |  Q1,01 | PCWP |            |
    |   5 |      COLLECTION ITERATOR PICKLER FETCH| TF         |       |       |            |          |  Q1,01 | PCWP |            |
    |   6 |       PX RECEIVE                      |            |   931K|   140M|   136   (2)| 00:00:02 |  Q1,01 | PCWP |            |
    |   7 |        PX SEND HASH                   | :TQ10000   |   931K|   140M|   136   (2)| 00:00:02 |  Q1,00 | P->P | HASH       |
    |   8 |         PX BLOCK ITERATOR             |            |   931K|   140M|   136   (2)| 00:00:02 |  Q1,00 | PCWC |            |
    |   9 |          TABLE ACCESS FULL            | TEST_TABLE |   931K|   140M|   136   (2)| 00:00:02 |  Q1,00 | PCWP |            |
    Note
       - dynamic sampling used for this statement
    explain plan for
    select /*+ first_rows */ test_obj(a, b, c)
    from table(test_pkg.TF_Any(CURSOR(select /*+ parallel(tab,5) */ * from test_table tab)));
    select * from table(dbms_xplan.display);
    Plan hash value: 4097140875
    | Id  | Operation                            | Name       | Rows  | Bytes | Cost (%CPU)| Time     |    TQ  |IN-OUT| PQ Distrib |
    |   0 | SELECT STATEMENT                     |            |  8168 |  3972K|    20   (0)| 00:00:01 |        |      |            |
    |   1 |  PX COORDINATOR                      |            |       |       |            |          |        |      |            |
    |   2 |   PX SEND QC (RANDOM)                | :TQ10000   |  8168 |  3972K|    20   (0)| 00:00:01 |  Q1,00 | P->S | QC (RAND)  |
    |   3 |    VIEW                              |            |  8168 |  3972K|    20   (0)| 00:00:01 |  Q1,00 | PCWP |            |
    |   4 |     COLLECTION ITERATOR PICKLER FETCH| TF_ANY     |       |       |            |          |  Q1,00 | PCWP |            |
    |   5 |      PX BLOCK ITERATOR               |            |   931K|   140M|   136   (2)| 00:00:02 |  Q1,00 | PCWC |            |
    |   6 |       TABLE ACCESS FULL              | TEST_TABLE |   931K|   140M|   136   (2)| 00:00:02 |  Q1,00 | PCWP |            |
    Note
       - dynamic sampling used for this statementI posted about it here a few years ago and I more recently posted a question on Asktom. Unfortunately Tom was not able to find a technical reason for it to be there so I'm still a little in the dark as to why it is needed. The original question I posted is here:
    Pipelined function partition by hash has extra sort#
    I ran your tests with HASH vs ANY and the results are in line with the observations above....
    declare
    myList test_list := test_list();
    myList2 test_list := test_list();
    sids ton_t := ton_t();
    sid number;
    t1 timestamp with time zone;
    t2 timestamp with time zone;
    procedure LogPerfTable
    is
    type ton is table of number;
    type tot is table of timestamp with time zone;
    type clients_t is table of varchar2(256);
    sids ton;
    t1s tot;
    t2s tot;
    clients clients_t;
    deltaTime integer;
    btsPerSecond number(19,0);
    edrsPerSecond number(19,0);
    begin
    select sid, t1, t2, client bulk collect into sids, t1s, t2s, clients from perf_data order by client;
    if clients.count > 0 then
    for i in clients.FIRST .. clients.LAST loop
    deltaTime := test_pkg.TZDeltaToMilliseconds(t1s(i), t2s(i));
    if deltaTime = 0 then deltaTime := 1; end if;
    dbms_output.put_line(
    '[' || to_char(t1s(i), 'hh:mi:ss') ||
    '-' || to_char(t2s(i), 'hh:mi:ss') ||
    ']:' ||
    ' client ' || clients(i) || ' / sid #' || sids(i)
    end loop;
    end if;
    end LogPerfTable;
    begin
    select userenv('SID') into sid from dual;
    for i in 1..200000 loop
    myList.extend; myList(myList.last) := test_obj(i, sysdate, to_char(i+2));
    end loop;
    -- save into the real table
    insert into test_table select * from table(cast (myList as test_list));
    -- save into the tmp table
    insert into tmp_test_table select * from table(cast (myList as test_list));
    dbms_output.put_line(chr(10) || '(1) copy ''mylist'' to ''mylist2'' by streaming via table function...');
    delete from perf_data;
    t1 := systimestamp;
    select /*+ first_rows */ test_obj(a, b, c) bulk collect into myList2
    from table(test_pkg.TF(CURSOR(select /*+ parallel(tab,5) */ * from table(cast (myList as test_list)) tab)));
    t2 := systimestamp;
    insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'master');
    LogPerfTable;
    dbms_output.put_line('... saved #' || myList2.count || ' records');
    select distinct(tab.a) bulk collect into sids from table(cast (myList2 as test_list)) tab;
    dbms_output.put_line(chr(10) || '(2) copy temporary ''tmp_test_table'' to ''mylist2'' by streaming via table function:');
    delete from perf_data;
    t1 := systimestamp;
    select /*+ first_rows */ test_obj(a, b, c) bulk collect into myList2
    from table(test_pkg.TF(CURSOR(select /*+ parallel(tab,5) */ * from tmp_test_table tab)));
    t2 := systimestamp;
    insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'master');
    LogPerfTable;
    dbms_output.put_line('... saved #' || myList2.count || ' records');
    select distinct(tab.a) bulk collect into sids from table(cast (myList2 as test_list)) tab;
    dbms_output.put_line(chr(10) || '(3) copy physical ''test_table'' to ''mylist2'' by streaming via table function:');
    delete from perf_data;
    t1 := systimestamp;
    select /*+ first_rows */ test_obj(a, b, c) bulk collect into myList2
    from table(test_pkg.TF(CURSOR(select /*+ parallel(tab,5) */ * from test_table tab)));
    t2 := systimestamp;
    insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'master');
    LogPerfTable;
    dbms_output.put_line('... saved #' || myList2.count || ' records');
    select distinct(tab.a) bulk collect into sids from table(cast (myList2 as test_list)) tab;
    dbms_output.put_line(chr(10) || '(4) copy temporary ''tmp_test_table'' to ''mylist2'' by streaming via table function ANY:');
    delete from perf_data;
    t1 := systimestamp;
    select /*+ first_rows */ test_obj(a, b, c) bulk collect into myList2
    from table(test_pkg.TF_any(CURSOR(select /*+ parallel(tab,5) */ * from tmp_test_table tab)));
    t2 := systimestamp;
    insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'master');
    LogPerfTable;
    dbms_output.put_line('... saved #' || myList2.count || ' records');
    select distinct(tab.a) bulk collect into sids from table(cast (myList2 as test_list)) tab;
    dbms_output.put_line(chr(10) || '(5) copy physical ''test_table'' to ''mylist2'' by streaming via table function using ANY:');
    delete from perf_data;
    t1 := systimestamp;
    select /*+ first_rows */ test_obj(a, b, c) bulk collect into myList2
    from table(test_pkg.TF_any(CURSOR(select /*+ parallel(tab,5) */ * from test_table tab)));
    t2 := systimestamp;
    insert into perf_data (sid, t1, t2, client) values(sid, t1, t2, 'master');
    LogPerfTable;
    dbms_output.put_line('... saved #' || myList2.count || ' records');
    select distinct(tab.a) bulk collect into sids from table(cast (myList2 as test_list)) tab;
    end;
    (1) copy 'mylist' to 'mylist2' by streaming via table function...
    test_pkg.TF( sid => '918' ): enter
    test_pkg.TF( sid => '918' ): exit, piped #200000 records
    [01:40:19-01:40:29]: client master / sid #918
    [01:40:19-01:40:29]: client slave / sid #918
    ... saved #600000 records
    (2) copy temporary 'tmp_test_table' to 'mylist2' by streaming via table function:
    [01:40:31-01:40:36]: client master / sid #918
    [01:40:31-01:40:32]: client slave / sid #659
    [01:40:31-01:40:32]: client slave / sid #880
    [01:40:31-01:40:32]: client slave / sid #1045
    [01:40:31-01:40:32]: client slave / sid #963
    [01:40:31-01:40:32]: client slave / sid #712
    ... saved #600000 records
    (3) copy physical 'test_table' to 'mylist2' by streaming via table function:
    [01:40:37-01:41:05]: client master / sid #918
    [01:40:37-01:40:42]: client slave / sid #738
    [01:40:37-01:40:42]: client slave / sid #568
    [01:40:37-01:40:42]: client slave / sid #618
    [01:40:37-01:40:42]: client slave / sid #659
    [01:40:37-01:40:42]: client slave / sid #963
    ... saved #3000000 records
    (4) copy temporary 'tmp_test_table' to 'mylist2' by streaming via table function ANY:
    [01:41:12-01:41:16]: client master / sid #918
    [01:41:12-01:41:16]: client slave / sid #712
    [01:41:12-01:41:16]: client slave / sid #1045
    [01:41:12-01:41:16]: client slave / sid #681
    [01:41:12-01:41:16]: client slave / sid #754
    [01:41:12-01:41:16]: client slave / sid #880
    ... saved #600000 records
    (5) copy physical 'test_table' to 'mylist2' by streaming via table function using ANY:
    [01:41:18-01:41:38]: client master / sid #918
    [01:41:18-01:41:38]: client slave / sid #681
    [01:41:18-01:41:38]: client slave / sid #712
    [01:41:18-01:41:38]: client slave / sid #754
    [01:41:18-01:41:37]: client slave / sid #880
    [01:41:18-01:41:38]: client slave / sid #1045
    ... saved #3000000 recordsHTH
    David

  • Parallel pipelined table function, autonomous_transaction to global tmp tab

    Hi,
    i try to speed up my parallel pipelined table function and switch from pl/sql collection to global temporary table inside.
    This requires to use PRAGMA AUTONOMOUS_TRANSACTION (and commit), because inserting into global temporary table (DML)
    within select - for invoking the table function - is not allowed without.
    As a consequence of commit it next requires to have on commit preserve rows for the global temporary table.
    Now:
    Inserts into the global temporary table are done - indicated by sql%rowcount.
    But a select afterwards doesn't show any record anymore.
    Here is a program to demonstrate it:
    set serveroutput on;
    drop type TestTableOfNumber_t;
    create or replace type TestTableOfNumber_t is table of number;
    drop type TestStatusList;
    drop type TestStatusObj;
    create or replace type TestStatusObj as object(
         sid number,
         ctr1 number,
         ctr2 number,
         ctr3 number
    create or replace type TestStatusList is table of TestStatusObj;
    drop table TestTmpTable;
    create global temporary table TestTmpTable (
         value     number
    ) on commit preserve rows;
    create or replace package test_pkg
    as
         type TestStatusRec is record (
              sid number,
              ctr1 number,
              ctr2 number,
              ctr3 number
         type TestStatusTab is table of TestStatusRec;
         function FillTmpTable(id in varchar2)
         return TestStatusRec;
         FUNCTION ptf (p_cursor  IN  sys_refcursor)
         RETURN TestStatusList PIPELINED
         PARALLEL_ENABLE(PARTITION p_cursor BY any);
    end;
    create or replace package body test_pkg
    as
         function FillTmpTable(id in varchar2)
         return TestStatusRec
         is
              PRAGMA AUTONOMOUS_TRANSACTION;
              result TestStatusRec;
              sid number;
              type ton is table of number;
              tids TestTableOfNumber_t := TestTableOfNumber_t();
              records number := 0;
         begin
              select userenv('SID') into sid from dual;
              result.sid := sid;
              delete from TestTmpTable;
              for i in 1..100 loop
                   tids.extend;
                   tids(tids.last) := i;
              end loop;
              forall i in 1..tids.count
                   insert into TestTmpTable (value) values (tids(i));
              -- get number of records inserted
              records := sql%rowcount;
              result.ctr1 := records;
              -- retrieve again before commit
              select count(*) into records from TestTmpTable;
              result.ctr2 := records;
              commit;
              -- retrieve again after commit
              select count(*) into records from TestTmpTable;
              result.ctr3 := records;
              return result;
         end;
           FUNCTION ptf (p_cursor  IN  sys_refcursor)
         RETURN TestStatusList PIPELINED
         PARALLEL_ENABLE(PARTITION p_cursor BY any)
         IS
              rec test_pkg.TestStatusRec;
              value number;
              sid number;
              ctr integer := 0;
         BEGIN
              select userenv('SID') into sid from dual;
              rec := FillTmpTable('IN PTF');
              LOOP
                   FETCH p_cursor into value;
                   EXIT WHEN p_cursor%NOTFOUND;
                   ctr := ctr + 1;     
              END LOOP;
              -- as a result i am only interested in the results of FillTmpTable():
              PIPE ROW (TestStatusObj(rec.sid, rec.ctr1, rec.ctr2, rec.ctr3));
                  RETURN;
         END;
    end;
    declare
         tons TestTableOfNumber_t;
         counts TestTableOfNumber_t;
         status test_pkg.TestStatusRec;
         statusList test_pkg.TestStatusTab;
    begin
         status := test_pkg.FillTmpTable('MAIN');
         dbms_output.put_line('main thread:'
              || ' sid #' || status.sid
              || ' / #' || status.ctr1 || ' inserted '
              || ' / #' || status.ctr2 || ' before commit'
              || ' / #' || status.ctr3 || ' after commit');     
         select value bulk collect into tons from TestTmpTable;
         select * bulk collect into statusList from TABLE(test_pkg.ptf(CURSOR(select /*+ parallel(tab,2) */ value from TestTmpTable tab)));
         for i in 1..StatusList.count loop
              dbms_output.put_line('worker thread #' || i  || ':'
              || ' sid #' || statusList(i).sid
              || ' / #' || statusList(i).ctr1 || ' inserted '
              || ' / #' || statusList(i).ctr2 || ' before commit'
              || ' / #' || statusList(i).ctr3 || ' after commit');
         end loop;
    end;
    /The output is:
    main thread: sid #881 / #100 inserted  / #100 before commit / #100 after commit
    worker thread #1: sid #421 / #100 inserted  / #0 before commit / #0 after commit
    worker thread #2: sid #321 / #100 inserted  / #0 before commit / #0 after commitThe 1st line is for the main thread invoking FillTmpTable().
    The next #2 lines are for the worker threads of the parallel pipelined table function for invoking the same FillTmpTable().
    For the main thread everything is as expected.
    But for the worker threads the logs for before commit and after commit both give #0 for the number of available records in the global temporary table.
    However all indicate #100 for the SQL insert
    regards,
    Frank
    Edited by: user8704911 on Jul 7, 2011 10:13 AM
    Edited by: user8704911 on Jul 7, 2011 10:20 AM
    Edited by: user8704911 on Jul 7, 2011 10:27 AM

    SQL> select * from v$version;
    BANNER
    Oracle Database 11g Enterprise Edition Release 11.1.0.7.0 - 64bit Production
    PL/SQL Release 11.1.0.7.0 - Production
    CORE    11.1.0.7.0      Production
    TNS for Linux: Version 11.1.0.7.0 - Production
    NLSRTL Version 11.1.0.7.0 - Production
    SQL> set serveroutput on;
    SQL> drop type TestTableOfNumber;
    drop type TestTableOfNumber
    ERROR at line 1:
    ORA-04043: object TESTTABLEOFNUMBER does not exist
    SQL> /
    drop type TestTableOfNumber
    ERROR at line 1:
    ORA-04043: object TESTTABLEOFNUMBER does not exist
    SQL> 
    SQL> create or replace type TestTableOfNumber_t is table of number;
      2  /
    Type created.
    SQL> 
    SQL> drop type TestStatusObj;
    drop type TestStatusObj
    ERROR at line 1:
    ORA-04043: object TESTSTATUSOBJ does not exist
    SQL> /
    drop type TestStatusObj
    ERROR at line 1:
    ORA-04043: object TESTSTATUSOBJ does not exist
    SQL> 
    SQL> create or replace type TestStatusObj as object(
      2   sid number,
      3   ctr1 number,
      4   ctr2 number,
      5   ctr3 number
      6  );
      7  /
    Type created.
    SQL> 
    SQL> drop type TestStatusList;
    drop type TestStatusList
    ERROR at line 1:
    ORA-04043: object TESTSTATUSLIST does not exist
    SQL> /
    drop type TestStatusList
    ERROR at line 1:
    ORA-04043: object TESTSTATUSLIST does not exist
    SQL> 
    SQL> create or replace type TestStatusList is table of TestStatusObj;
      2  /
    Type created.
    SQL> 
    SQL> drop table TestTmpTable;
    drop table TestTmpTable
    ERROR at line 1:
    ORA-00942: table or view does not exist
    SQL> /
    drop table TestTmpTable
    ERROR at line 1:
    ORA-00942: table or view does not exist
    SQL> 
    SQL> create global temporary table TestTmpTable (
      2   value number
      3  ) on commit preserve rows;
    Table created.
    SQL> /
    create global temporary table TestTmpTable (
    ERROR at line 1:
    ORA-00955: name is already used by an existing object
    SQL> 
    SQL> create or replace package test_pkg
      2  as
      3  
      4   type TestStatusRec is record (
      5    sid number,
      6    ctr1 number,
      7    ctr2 number,
      8    ctr3 number
      9   );
    10  
    11   type TestStatusTab is table of TestStatusRec;
    12  
    13   function FillTmpTable(id in varchar2)
    14   return TestStatusRec;
    15  
    16   FUNCTION ptf (p_cursor  IN  sys_refcursor)
    17   RETURN TestStatusList PIPELINED
    18   PARALLEL_ENABLE(PARTITION p_cursor BY any);
    19  
    20  end;
    21  /
    Package created.
    SQL> 
    SQL> create or replace package body test_pkg
      2  as
      3  
      4   function FillTmpTable(id in varchar2)
      5   return TestStatusRec
      6   is
      7    PRAGMA AUTONOMOUS_TRANSACTION;
      8  
      9    result TestStatusRec;
    10  
    11    sid number;
    12  
    13    type ton is table of number;
    14    tids TestTableOfNumber_t := TestTableOfNumber_t();
    15  
    16    records number := 0;
    17   begin
    18    select userenv('SID') into sid from dual;
    19    result.sid := sid;
    20  
    21    delete from TestTmpTable;
    22  
    23    for i in 1..100 loop
    24     tids.extend;
    25     tids(tids.last) := i;
    26    end loop;
    27  
    28    forall i in 1..tids.count
    29     insert into TestTmpTable (value) values (tids(i));
    30  
    31    -- get number of records inserted
    32    records := sql%rowcount;
    33    result.ctr1 := records;
    34  
    35    -- retrieve again before commit
    36    select count(*) into records from TestTmpTable;
    37    result.ctr2 := records;
    38  
    39    commit;
    40  
    41    -- retrieve again after commit
    42    select count(*) into records from TestTmpTable;
    43    result.ctr3 := records;
    44  
    45    return result;
    46   end;
    47  
    48     FUNCTION ptf (p_cursor  IN  sys_refcursor)
    49   RETURN TestStatusList PIPELINED
    50   PARALLEL_ENABLE(PARTITION p_cursor BY any)
    51   IS
    52    rec test_pkg.TestStatusRec;
    53    value number;
    54    sid number;
    55    ctr integer := 0;
    56   BEGIN
    57    select userenv('SID') into sid from dual;
    58    rec := FillTmpTable('IN PTF');
    59    LOOP
    60     FETCH p_cursor into value;
    61     EXIT WHEN p_cursor%NOTFOUND;
    62     ctr := ctr + 1;
    63    END LOOP;
    64  
    65    -- as a result i am only interested in the results of FillTmpTable():
    66    PIPE ROW (TestStatusObj(rec.sid, rec.ctr1, rec.ctr2, rec.ctr3));
    67  
    68        RETURN;
    69   END;
    70  end;
    71  /
    Package body created.
    SQL> 
    SQL> declare
      2   tons TestTableOfNumber_t;
      3   counts TestTableOfNumber_t;
      4   status test_pkg.TestStatusRec;
      5   statusList test_pkg.TestStatusTab;
      6  begin
      7   status := test_pkg.FillTmpTable('MAIN');
      8   dbms_output.put_line('main thread:'
      9    || ' sid #' || status.sid
    10    || ' / #' || status.ctr1 || ' inserted '
    11    || ' / #' || status.ctr2 || ' before commit'
    12    || ' / #' || status.ctr3 || ' after commit');
    13  
    14   select value bulk collect into tons from TestTmpTable;
    15  
    16   select * bulk collect into statusList from TABLE(test_pkg.ptf(CURSOR(select /*+ parallel(tab,2
    ) */ value from TestTmpTable tab)));
    17  
    18   for i in 1..StatusList.count loop
    19    dbms_output.put_line('worker thread #' || i  || ':'
    20    || ' sid #' || statusList(i).sid
    21    || ' / #' || statusList(i).ctr1 || ' inserted '
    22    || ' / #' || statusList(i).ctr2 || ' before commit'
    23    || ' / #' || statusList(i).ctr3 || ' after commit');
    24   end loop;
    25  
    26  end;
    27  /
    main thread: sid #1023 / #100 inserted  / #100 before commit / #100 after commit
    worker thread #1: sid #1045 / #100 inserted  / #100 before commit / #100 after
    commit
    worker thread #2: sid #1019 / #100 inserted  / #100 before commit / #100 after
    commit
    PL/SQL procedure successfully completed.
    SQL> I am getting a different result.
    Regards
    Raj

  • Interactive report on view based on pipelined table function.

    Hi,
    I want to build an Interactive Report on a view.
    The view definition contains a select on a pipelined table function. I use context functionality to pass paramaters to the pipelined table function.
    A plain select * from #my_view# in SqlPlus results in 121 different rows.
    However, If I base my Interactive report on this view, I get 15 repeated rows (all the same).
    Is it possible to use pipelined table functionality on an Interactive report? I can't seem to get it working.
    If I use the following approach (http://rakeshjsr.blogspot.nl/2010/10/oracle-apex-interactive-report-based-on.html) I do get results, but I can't use this solution for a reason that's not relevant.

    Hello,
    Is it possible to use pipelined table functionality on an Interactive report? I can't seem to get it working. I have used it in one instance and it works fine. However I was passing the values to pipe-lined function directly.
    IR Query..
    SELECT * FROM TABLE(fn_pipeline(:P1_ITEM_NAME))Call pipe-lined function from IR query directly (instead of using view)
    Try sending values to Pipe-lined function directly. In-case if the problem is with setting and getting values from the context?
    Regards,
    Hari

  • Pipeline Table Function returning a fraction of data

    My current project involves migrating an Oracle database to a new structure based on the new client application requirements. I would like to use pipelined table functions as it seems as though that would provide the best performance.
    The first table has about 65 fields, about 75% of which require some type of recoding for the new app. I have written a function for each transformation and have all of these functions stored in a package. If I do:
    create new_table as select (
    pkg_name.function1(old_field1),
    pkg_name.function2(old_field2),
    pkg_name.function3(old_field3),
    it runs with out any errors but takes about 3 1/2 hours. There are a little more than 10 million rows in the table.
    I wrote a function that is passed the old table as a cursor, runs all the functions for the transformations and then pipes the new row back to the insert statement that called the function. It is incredibly fast but only returns .025% of the data (about 50 rows out of my sample table of 200,000). It does not throw any errors.
    So I am trying to determine what is going on. Perhaps one of my functions has a bug. If there was would cause the row to be kicked out? There are 40 or so functions so tracking this down has been a bit of a bear.
    Any advice as to how I might resolve this would be much appreciated.
    Thanks
    Dan

    . I would like to use pipelined table functions as it seems as though that would provide the best performanceUh huh...
    it runs with out any errors but takes about 3 1/2 hours. There are a little more than 10 million rows in the table.Not the first time a lovely theory has been killed by an ugly fact. Did you do any bench marks to see whether the pipelined functions did offer performance benefits over doing it some other way?
    From the context of your comments I think you are trying to a populate a new table from a single old table. Is this the case? If so I would have thought a straightforward CTAS with normal functions would be more appropriate: pipelined functions are really meant for situations in which one input produced more than one output. Anyway, ifr we are to help you I think you need to give us more details about how this process works and post a sample transformation function.
    There are 40 or so functions so tracking this down has been a bit of a bear.The teaching is: we should code one function and get that working before moving on to the next one. Which might not seem like a helpful thing to say, but the best lesson is often "I'll do it differently next time".
    Cheers, APC

  • Using Pipeline Table functions with other tables

    I am on DB 11.2.0.2 and have sparingly used pipelined table functions but am considering it for a project that has some fairly big (lots of rows) sized tables. In my tests, selecting from just the pipelined table perform pretty well (whether it is directly from the pipleined table or the view I created on top of it). Where I start to see some degregation when I try to join the pipelined tabe view to other tables and add where conditions.
    ie:
    SELECT A.empno, A.empname, A.job, B.sal
    FROM EMP_VIEW A, EMP B
    WHERE A.empno = B.empno AND
          B.mgr = '7839'
    I have seen some articles and blogs that mention this as a cardinality issue, and offer some undocumented methods to try and combat.
    Can someone please give me some advice or tips on this. Thanks!
    I have created a simple example using the emp table below to help illustrate what I am doing.
    DROP TYPE EMP_TYPE;
    DROP TYPE EMP_SEQ;
    CREATE OR REPLACE TYPE EMP_SEQ AS OBJECT
           ( EMPNO                                         NUMBER(10),
             ENAME                                         VARCHAR2(100),
             JOB                                           VARCHAR2(100));
    CREATE OR REPLACE TYPE EMP_TYPE AS TABLE OF EMP_SEQ;
    CREATE OR REPLACE FUNCTION get_emp return EMP_TYPE PIPELINED AS
    BEGIN
      FOR cur IN (SELECT
                    empno,
                    ename,
                    job
                  FROM emp
             LOOP
               PIPE ROW(EMP_SEQ(cur.empno,
                                cur.ename,
                                cur.job));
             END LOOP;
             RETURN;
    END get_emp;
    create OR REPLACE view EMP_VIEW as select * from table(get_emp());
    SELECT A.empno, A.empname, A.job, B.sal
    FROM EMP_VIEW A, EMP B
    WHERE A.empno = B.empno AND
          B.mgr = '7839'

    I am on DB 11.2.0.2 and have sparingly used pipelined table functions but am considering it for a project that has some fairly big (lots of rows) sized tables
    Which begs the question: WHY? What PROBLEM are you trying to solve and what makes you think using pipelined table functions is the best way to solve that problem?
    The lack of information about cardinality is the likely root of the degradation you noticed as already mentioned.
    But that should be a red flag about pipelined functions in general. PIPELINED functions hide virtually ALL KNOWLEDGE about the result set that is produced; cardinality is just the tip of the iceberg. Those functions pretty much say 'here is a result set' without ANY information about the number of rows (cardinality), distinct values for any columns, nullability of any columns, constraints that might apply to any columns (foreign key, primary key) and so on.
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    The use of PIPELINED functions should be reserved for those use cases where ordinary SQL and PL/SQL cannot get the job done. That is they are a 'special case' solution.
    The classic use case for those functions is for the transform stage of ETL where multiple pipelined functions are chained together: one function feeds its rows to the next function which feeds its rows to another and so on. Each of those 'chained' functions is roughly analogous to a full table scan of the data that often does not need to be joined to other data except perhaps low volumn lookup tables where the data may even be cached.
    I suggest that any exploratory or prototyping work you do use standard relational tables until such point as you run into a problem whose solution might require PIPELINED functions to solve.

  • Performance issues with pipelined table functions

    I am testing pipelined table functions to be able to re-use the <font face="courier">base_query</font> function. Contrary to my understanding, the <font face="courier">with_pipeline</font> procedure runs 6 time slower than the legacy <font face="courier">no_pipeline</font> procedure. Am I missing something? The <font face="courier">processor</font> function is from [url http://www.oracle-developer.net/display.php?id=429]improving performance with pipelined table functions .
    Edit: The underlying query returns 500,000 rows in about 3 minutes. So there are are no performance issues with the query itself.
    Many thanks in advance.
    CREATE OR REPLACE PACKAGE pipeline_example
    IS
       TYPE resultset_typ IS REF CURSOR;
       TYPE row_typ IS RECORD (colC VARCHAR2(200), colD VARCHAR2(200), colE VARCHAR2(200));
       TYPE table_typ IS TABLE OF row_typ;
       FUNCTION base_query (argA IN VARCHAR2, argB IN VARCHAR2)
          RETURN resultset_typ;
       c_default_limit   CONSTANT PLS_INTEGER := 100;  
       FUNCTION processor (
          p_source_data   IN resultset_typ,
          p_limit_size    IN PLS_INTEGER DEFAULT c_default_limit)
          RETURN table_typ
          PIPELINED
          PARALLEL_ENABLE(PARTITION p_source_data BY ANY);
       PROCEDURE with_pipeline (argA          IN     VARCHAR2,
                                argB          IN     VARCHAR2,
                                o_resultset      OUT resultset_typ);
       PROCEDURE no_pipeline (argA          IN     VARCHAR2,
                              argB          IN     VARCHAR2,
                              o_resultset      OUT resultset_typ);
    END pipeline_example;
    CREATE OR REPLACE PACKAGE BODY pipeline_example
    IS
       FUNCTION base_query (argA IN VARCHAR2, argB IN VARCHAR2)
          RETURN resultset_typ
       IS
          o_resultset   resultset_typ;
       BEGIN
          OPEN o_resultset FOR
             SELECT colC, colD, colE
               FROM some_table
              WHERE colA = ArgA AND colB = argB;
          RETURN o_resultset;
       END base_query;
       FUNCTION processor (
          p_source_data   IN resultset_typ,
          p_limit_size    IN PLS_INTEGER DEFAULT c_default_limit)
          RETURN table_typ
          PIPELINED
          PARALLEL_ENABLE(PARTITION p_source_data BY ANY)
       IS
          aa_source_data   table_typ;-- := table_typ ();
       BEGIN
          LOOP
             FETCH p_source_data
             BULK COLLECT INTO aa_source_data
             LIMIT p_limit_size;
             EXIT WHEN aa_source_data.COUNT = 0;
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             FOR i IN 1 .. aa_source_data.COUNT
             LOOP
                PIPE ROW (aa_source_data (i));
             END LOOP;
          END LOOP;
          CLOSE p_source_data;
          RETURN;
       END processor;
       PROCEDURE with_pipeline (argA          IN     VARCHAR2,
                                argB          IN     VARCHAR2,
                                o_resultset      OUT resultset_typ)
       IS
       BEGIN
          OPEN o_resultset FOR
               SELECT /*+ PARALLEL(t, 5) */ colC,
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                      SUM (CASE WHEN colE > colD AND colD != '0' THEN colE / ColD END)ed,
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             GROUP BY colC
             ORDER BY colC
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       PROCEDURE no_pipeline (argA          IN     VARCHAR2,
                              argB          IN     VARCHAR2,
                              o_resultset      OUT resultset_typ)
       IS
       BEGIN
          OPEN o_resultset FOR
               SELECT colC,
                      SUM (CASE WHEN colD > colE AND colE  != '0' THEN colD / ColE END)de,
                      SUM (CASE WHEN colE > colD AND colD  != '0' THEN colE / ColD END)ed,
                      SUM (CASE WHEN colD = colE AND colD  != '0' THEN 1 END) de_one,
                      SUM (CASE WHEN colD = '0' OR colE = '0' THEN '0' END) de_zero
                 FROM (SELECT colC, colD, colE
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                        WHERE colA = ArgA AND colB = argB)
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