PARALLEL option in oracle 8i

Hi,
I have a problem in using the parallel hint in my sql statement.
I have enabled the parallel dml option, also given the parallel hint in the script. This works fine with the test database which is a clone of the production database. But it behaves worse in production database. Is there any settings need to be done by the dbas in resource allocation for using this parallel option.
Thanks
Shiva..

If memory serves, multiple block sizes were not supported until 9i. I believe the answer is no. Once the database standard block size is defined, you can't simply change the block size without recreating the database with new block size of any oracle version so far.
Jaffar

Similar Messages

Partitioned snapshot with parallel option unable to refresh for 14 hours

Platform: SLES 8, Oracle 9.2.0.4
Master site - partitioned table (7G)
Snapshot site - partitioned snapshot (2.3G)
Creation of snapshot takes about 2 hours
First fast refresh didn't finished even after 14 hours, so I killed the session.
QUESTION:
Any known issues in using partitioned snapshots, fast refresh and parallel option?
Thanks
Srdjan

PS - have found other posts indicating that clips smaller than 2s or sometimes 5s, or "short files" can cause this. Modern style editing often uses short takes ! Good grief I cannot believe Apple. Well I deleted a half a dozen short sections and can export, but now of course the video is a ruined piiece of junk and I need to re-do the whole thing, the sound etc. which is basically taking as much time as the original. And each time I re-do it I risk again this lovely error -50 and again trying to figure out what thing bugs it via trial and error instead of a REASONABLE ERROR MESSAGE POINTING TO THE CLIP IT CAN'T PROCESS. What a mess. I HATE this iMovie application - full of BUGS BUGS BUGS which Apple will not fix obviously, since I had this product for a few years and see just hundreds of hits on Google about this error with disappointed users. Such junk I cannot believe I paid money for it and Apple does not support it with fixes !!!
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Parallel Processing in Oracle 10g

Dear Oracle Experts,
I would like to use the Parallel Processing feature on My production database running on Unix Box.
No: of CPU in each node is 8 and its RAC database
Before going for this option i would like to certain things regarding Parallel Processing.
1. According to my server specification how much DOP i can specify.
2. Which option for Setting Parallel is good
a. Using the 'alter table A parallel 4' or passing the parallel hints in the sql statements
3. We have a batch processing jobs which are loading data into the tables from flat files (24*7) using sql loader. is it possible to parallel this operation and any negative effect if enabled parallel.
4. Query or DML - which one will be perform best with parallel option.
5. What are the negative issue if parallel option is enabled.
6. what are the things to be taken care while enabling the parallel option.
Thanks in Advance
Edited by: user585870 on Jun 7, 2009 12:04 PM

Hi,
first of all, you should read [Using Parallel Execution|http://download.oracle.com/docs/cd/B19306_01/server.102/b14223/usingpe.htm#DWHSG024] in documentation for your version - almost all of these topics are covered there.
1. According to my server specification how much DOP i can specify.It depends not only on number of CPU. More important factors are settings of PARALLEL_MAX_SERVERS and PARALLEL_ADAPTIVE_MULTI_USER.
2. Which option for Setting Parallel is good - Using the 'alter table A parallel 4' or passing the parallel hints in the sql statementsIt depends on your application. When setting PARALLEL on a table, all SQL dealing with that table would be considered for parallel execution. So if it is normal for your app to use parallel access to that table, it's OK. If you want to use PX on a limited set of SQL, then hints or session settings are more appropriate.
3. We have a batch processing jobs which are loading data into the tables from flat files (24*7) using sql loader. is it possible to parallel this operation and any negative effect if enabled parallel.Yes, refer to documentation.
4. Query or DML - which one will be perform best with parallel option.Both may take advantages of using PX (with some restrictions to Parallel DML) and both may run slower than non-PX versions.
5. What are the negative issue if parallel option is enabled.1) Object checkpoint happens before starting parallel FTS (true for >=10gR2, before that version tablespace checkpoint was used)
2) More CPU and memory resources are used with PX - it may be both benefit and an issue, especially with concurrent PX.
6. what are the things to be taken care while enabling the parallel option.Read the documentation - it contains almost all you need to know. Since you are using RAC, you sould not forget about method of PX slaves load balancing between nodes. If you are on 10g, refer to INSTANSE_GROUPS/PARALLEL_INSTANCE_GROUPS parameters, if you are using 11g then properly configure services.

Sql query not using parallel option

I am working in oracle 11.2.0.2.0 .
I am trying to execute one query using parallel options but in explain plan it is not using that PX option ...
UPDATE /*+PARALLEL (emp,4) */
cust_sku_allocation_data emp
set emp.mean=
(select sum(dep.stock_to_sales)/count(distinct dep.destination_facility)
FROM cust_sku_allocation dep
WHERE dep.stock_to_sales_ratio NOT IN (0,9999)
AND dep.sku_id = emp.sku_id);
Any idea where to check..

Sorry I meant:
You cannot parallelize UPDATE or DELETE operations on a nonpartitioned table, or when the update only affects 1 partition in a partitioned one.

Parallel option for DML

Hi ,
I have 8 cpus on my server .
I want to insert data from tab1 into tab2 as follows :
insert into user1.tab1 select * from user1.tab2 ;
I wanted to utilize the parallel option in above query and i tried
INSERT /*+ PARALLEL(user1.tab1,5) */ INTO user1.tab1 SELECT /*+ PARALLEL(user1.tab2,4) */ * FROM user1.tab2;
query run successfully but i when i was monitoring from OS(IBM AIX 6.1) side using NMON utility , it was not consuming/utilizing more then 1 or 2 CPUs .
Can anyone plz tell me the correct syntax....
Edited by: Santosh Pradhan on May 1, 2013 7:01 AM

You've posted enough to know you need to provide your 4 digit Oracle version.
>
I have 8 cpus on my server .
I want to insert data from tab1 into tab2 as follows :
insert into user1.tab1 select * from user1.tab2 ;
I wanted to utilize the parallel option in above query and i tried
INSERT /*+ PARALLEL(user1.tab1,5) / INTO user1.tab1 SELECT /+ PARALLEL(user1.tab2,4) */ * FROM user1.tab2;
query run successfully but i when i was monitoring from OS(IBM AIX 6.1) side using NMON utility , it was not consuming/utilizing more then 1 or 2 CPUs .
>
Please read the FAQ at the top of the thread list for how to post a tuning request and the info you need to provide. That info includes the DDL for the tables and indexes, the execution plan for the query you are running, the numbers of rows in the tables involved.
The execution plan will show if PARALLEL is being used.

Error when creating index with parallel option on very large table

I am getting a
"7:15:52 AM ORA-00600: internal error code, arguments: [kxfqupp_bad_cvl], [7940], [6], [0], [], [], [], []"
error when creating an index with parallel option. Which is strange because this has not been a problem until now. We just hit 60 million rows in a 45 column table, and I wonder if we've hit a bug.
Version 10.2.0.4
O/S Linux
As a test I removed the parallel option and several of the indexes were created with no problem, but many still threw the same error... Strange. Do I need a patch update of some kind?

This is most certainly a bug.
From metalink it looks like bug 4695511 - fixed in 10.2.0.4.1

"In-Memory Database Cache" option for Oracle 10g Enterprise Edition

Hi,
In one of our applications, we are using TimesTen 5.1.24 and Oracle 9i
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Pre-production box with 8 core 2 duo processors (16 cores)
Development and test box with 2 single chip processors
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Hi Vijay,
regarding your questions:
1. What is the difference between "TimesTen In-Memory Database" and
"In-Memory Database Cache" in terms of features and licensing model?
==> Product has just been renamed and integrated better with the Oracle database - Times-Ten == In-Memory-Cache-Database
2. Is "In-Memory Database Cache" option integrated with Oracle 10g
installable or a separate installable (i.e. TimesTen installable with only
cache feature)?
==> Seperate Installation
3. Is "In-Memory Database Cache" option same as that of "TimesTen Cache
Connect to Oracle" option in TimesTen In-Memory Database?
==> Please have a look here: http://www.oracle.com/technology/products/timesten/quickstart/cc_qs_index.html
This explains the differences.
4. After integrating "In-Memory Database Cache" option with Oracle 10g, data
access will happen only through Oracle sqlplus or OCI calls. Am I right here
in making this statement?
==> Please see above mentioned papers
5. Is it possible to cache the result set of a join query in "In-Memory
Database Cache"?
==> Again ... ;-)
Kind regards
Mike

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You can even rename a column in oracle 8i or 9i
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Hi,
I have source data which keeps on populating.I want to process the records parallely using Oracle Stored Procedure.I should not reprocess the records that are already processed.Please suggest an logic.
Right now i have only option of calling the procedure multiple times in unix environment.
Regards,
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An example of how to create a worloads table that enables target table (to process) to be chunked, and processed.
SQL> --// we have a table with a PK that is not a gap-free
SQL> --// sequential number
SQL> create table sample_data(
2          id              primary key,
3          last_update,
4          name
5 ) organization index
6 nologging as
7 select
8          object_id,
9          sysdate,
10          object_name
11 from       all_objects
12 /
Table created.
SQL>
SQL> --// first couple of rows - as can be seen, we cannot
SQL> --// use id column ranges as the 1-1000 range could be
SQL> --// 10 rows, the 1001-2000 range 1 row, and the 2001-3000
SQL> --// range 900 rows.
SQL> select * from(
2          select * from sample_data order by 1
3 ) where rownum < 11;
        ID LAST_UPDATE         NAME
       100 2013/07/08 09:10:01 ORA$BASE
       116 2013/07/08 09:10:01 DUAL
       117 2013/07/08 09:10:01 DUAL
       280 2013/07/08 09:10:01 MAP_OBJECT
       365 2013/07/08 09:10:01 SYSTEM_PRIVILEGE_MAP
       367 2013/07/08 09:10:01 SYSTEM_PRIVILEGE_MAP
       368 2013/07/08 09:10:01 TABLE_PRIVILEGE_MAP
       370 2013/07/08 09:10:01 TABLE_PRIVILEGE_MAP
       371 2013/07/08 09:10:01 STMT_AUDIT_OPTION_MAP
       373 2013/07/08 09:10:01 STMT_AUDIT_OPTION_MAP
10 rows selected.
SQL>
SQL> --// we create a workloads table - we'll use this to
SQL> --// hand out work to a parallel process
SQL> create table workloads(
2          workload_name   varchar2(30),
3          workload_id     number,
4          workload_data   number,
5          constraint pk_workloads primary key
6          ( workload_name, workload_id )
7 ) organization index
8 /
Table created.
SQL>
SQL> --// we create the workloads (1 workload per rows in
SQL> --// this example) for processing the sample_data table
SQL> insert into workloads
2 select
3          'SampleData1',
4          rownum,
5          id
6 from       sample_data;
57365 rows created.
SQL> commit;
Commit complete.
SQL>
SQL> --// we can now chunk the SampleData1 workload using the
SQL> --// workload_id as it is a sequential gap free number to
SQL> --// use for even distribution of work
SQL> col VALUE format 999,999,999
SQL> select 'Start at ' as "LABEL", min(workload_id) as "VALUE" from workloads where workload_name = 'SampleData1'
2 union all
3 select 'End at ', max(workload_id) from workloads where workload_name = 'SampleData1'
4 union all
5 select 'For rowcount ', count(*) from workloads where workload_name = 'SampleData1'
6 /
LABEL                VALUE
Start at                 1
End at              57,365
For rowcount        57,365
SQL>
SQL> --// for example, we want to create 10 workload buckets and
SQL> --// fill each with a range of workload identifiers
SQL> with workload_totals( start_id, end_id ) as(
2          select min(workload_id), max(workload_id) from workloads where workload_name = 'SampleData1'
3 ),
4 buckets_needed( b ) as(
5          select ceil(end_id/10) from workload_totals
6 ),
7 buckets( workload_id, bucket) as (
8          select workload_id, ceil(workload_id/b) from workloads, buckets_needed where workload_name = 'SampleData1'
9          order by 1
10 )
11 select
12          row_number() over(order by min(workload_id))    as BUCKET,
13          min(workload_id)                                as START_WORLOAD_ID,
14          max(workload_id)                                as END_WORKLOAD_ID
15 from       buckets
16 group by bucket
17 order by 1
18 /
    BUCKET START_WORLOAD_ID END_WORKLOAD_ID
         1                1            5737
         2             5738           11474
         3            11475           17211
         4            17212           22948
         5            22949           28685
         6            28686           34422
         7            34423           40159
         8            40160           45896
         9            45897           51633
        10            51634           57365
10 rows selected.
SQL>
SQL> --// we need now a procedure that will work as a thread and be called, in
SQL> --// parallel, to process a workload bucket
SQL> create or replace procedure ProcessWorkload(
2          workloadName    varchar2,
3          startID         number,
4          endID           number
5 ) is
6 begin
7          --// we make this simple - we read the workload data from
8          --// workloads table and do an update of sample data
9          update(
10                  select
11                          s.*
12                  from    sample_data s
13                  where   s.id in(
14                          select
15                                  w.workload_data
16                          from    workloads w
17                          where   w.workload_name = 'SampleData1'
18                          and     w.workload_id between startID and endID
19                  )
20          )
21          set     name = lower(name),
22                  last_update = sysdate;
23 end;
24 /
Procedure created.
SQL>
SQL> --// process sample_data in parallel via 10 workload buckets, using 2
SQL> --// parallel processes
SQL> var c refcursor
SQL> declare
2          taskName        varchar2(30);
3 begin
4          taskName := 'Parallel-PQ-Process1';
5          DBMS_PARALLEL_EXECUTE.create_task( taskName );
6
7          --// we use our SQL above to create 10 buckets, with each bucket
8          --// (or chunk) specifying the start and end workload id's to
9          --// process
10          DBMS_PARALLEL_EXECUTE.create_chunks_by_sql(
11                  task_name => taskName,
12                  sql_stmt =>
13                          'with workload_totals( start_id, end_id ) as(
14                                  select min(workload_id), max(workload_id) from workloads where workload_name = ''SampleData1''
15                          ),
16                          buckets_needed( b ) as(
17                                  select ceil(end_id/10) from workload_totals
18                          ),
19                          buckets( workload_id, bucket) as (
20                                  select workload_id, ceil(workload_id/b) from workloads, buckets_needed where workload_name = ''SampleData1''
21                                  order by 1
22                          )
23                          select
24                                  min(workload_id),
25                                  max(workload_id)
26                          from    buckets
27                          group by bucket ',
28                  by_rowid => false
29          );
30
31          --// next we process the 10 buckets/chunks, two at a time
32          DBMS_PARALLEL_EXECUTE.Run_Task(
33                  task_name => taskName,
34                  sql_stmt => 'begin ProcessWorkload(''SampleData1'',:start_id,:end_id); end;',
35                  language_flag => DBMS_SQL.NATIVE,
36                  parallel_level => 2
37          );
38
39          --// wait for it to complete
40          while DBMS_PARALLEL_EXECUTE.task_status( taskName ) != DBMS_PARALLEL_EXECUTE.Finished loop
41                  DBMS_LOCK.Sleep(10);
42          end loop;
43
44          --// stats cursor
45          open :c for
46          select
47                  task_name,
48                  job_name,
49                  chunk_id,
50                  status,
51                  start_id,
52                  end_id,
53                  end_id-start_id                         as UPDATES_DONE,
54                  to_char(start_ts,'hh24:mi:ss.ff')       as START_TS,
55                  to_char(end_ts,'hh24:mi:ss.ff')         as END_TS,
56                  end_ts-start_ts                         as DURATION
57          from    user_parallel_execute_chunks
58          where   task_name = taskName
59          order by 1,2;
60
61          --// remove task
62          DBMS_PARALLEL_EXECUTE.drop_task( taskName );
63 end;
64 /
PL/SQL procedure successfully completed.
SQL>
SQL> col TASK_NAME format a20
SQL> col JOB_NAME format a20
SQL> col START_TS format a15
SQL> col END_TS format a15
SQL> col DURATION format a28
SQL> print c
TASK_NAME            JOB_NAME               CHUNK_ID STATUS       START_ID     END_ID UPDATES_DONE START_TS        END_TS          DURATION
Parallel-PQ-Process1 TASK$_15266_1              5821 PROCESSED           1       5737         5736 09:10:19.066131 09:10:19.313965 +000000000 00:00:00.247834
Parallel-PQ-Process1 TASK$_15266_1              5822 PROCESSED       28686      34422         5736 09:10:19.315984 09:10:19.682781 +000000000 00:00:00.366797
Parallel-PQ-Process1 TASK$_15266_1              5823 PROCESSED        5738      11474         5736 09:10:19.684925 09:10:19.818145 +000000000 00:00:00.133220
Parallel-PQ-Process1 TASK$_15266_1              5824 PROCESSED       17212      22948         5736 09:10:19.818694 09:10:19.950409 +000000000 00:00:00.131715
Parallel-PQ-Process1 TASK$_15266_1              5830 PROCESSED       51634      57365         5731 09:10:20.605421 09:10:20.721599 +000000000 00:00:00.116178
Parallel-PQ-Process1 TASK$_15266_1              5826 PROCESSED       40160      45896         5736 09:10:20.080270 09:10:20.214443 +000000000 00:00:00.134173
Parallel-PQ-Process1 TASK$_15266_1              5827 PROCESSED       11475      17211         5736 09:10:20.217662 09:10:20.339758 +000000000 00:00:00.122096
Parallel-PQ-Process1 TASK$_15266_1              5828 PROCESSED       34423      40159         5736 09:10:20.342242 09:10:20.453802 +000000000 00:00:00.111560
Parallel-PQ-Process1 TASK$_15266_1              5829 PROCESSED       45897      51633         5736 09:10:20.454376 09:10:20.603116 +000000000 00:00:00.148740
Parallel-PQ-Process1 TASK$_15266_1              5825 PROCESSED       22949      28685         5736 09:10:19.950975 09:10:20.079311 +000000000 00:00:00.128336
10 rows selected.
SQL>
SQL> --// updated sample data
SQL> select * from(
2          select * from sample_data order by 1
3 ) where rownum < 11;
        ID LAST_UPDATE         NAME
       100 2013/07/08 09:10:19 ora$base
       116 2013/07/08 09:10:19 dual
       117 2013/07/08 09:10:19 dual
       280 2013/07/08 09:10:19 map_object
       365 2013/07/08 09:10:19 system_privilege_map
       367 2013/07/08 09:10:19 system_privilege_map
       368 2013/07/08 09:10:19 table_privilege_map
       370 2013/07/08 09:10:19 table_privilege_map
       371 2013/07/08 09:10:19 stmt_audit_option_map
       373 2013/07/08 09:10:19 stmt_audit_option_map
10 rows selected.
SQL>
To eliminate the workload table approach, you need to find an alternative method for chunking the target table. Whether such a method is available depends entirely on the structure and nature of your target table (and is the preferred approach over using a secondary worktable to drive parallel processing).

PARALLEL option in oracle 8i

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